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Article

Prioritizing Community-Based Intervention Programs for Improving Treatment Compliance of Patients with Chronic Diseases: Applying an Analytic Hierarchy Process

1
Korean Association for AIDS Prevention, Gangwon Branch, Chuncheon 24405, Korea
2
Department of Public Administration, Kangwon National University, Chuncheon 24341, Korea
3
Department of Gerontology Health and Welfare, Pai Chai University, Daejeon 35345, Korea
4
Hongcheon County Hypertension and Diabetes Registration and Education Center, Hongcheon 25135, Korea
5
Department of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju 26426, Korea
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2021, 18(2), 455; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020455
Submission received: 27 November 2020 / Revised: 26 December 2020 / Accepted: 4 January 2021 / Published: 8 January 2021

Abstract

:
The purpose of this study was to apply multicriteria decision making and an analytic hierarchy process (AHP) model for assessing sustainable management of hypertension and diabetes. Perception of two alternative health care priorities was also investigated. One priority was improving treatment compliance of patients with hypertension and diabetes. The other priority was strengthening the healthcare system for continuous care. Our study design to evaluate community-based intervention programs for hypertension and diabetes was developed using brainstorming, Delphi techniques, and content analysis along with literature review. We finally proposed a hierarchical structure of the AHP model with 50 third sub-criteria in six levels. By surveying this AHP questionnaire to a total of 185 community health practitioners in Korea, we found that improving treatment compliance of patients with chronic diseases should be relatively more important than strengthening the healthcare system. Further research is needed to expand survey subjects to primary care physicians and even policymakers of central government for the appropriate application of this AHP model.

1. Introduction

The Global Burden of Disease (GBD) Study 2013 reported a substantial (42.3%) increase in years lived with disability (YLD) from 1990 to 2013. This was because, in 2013, chronic diseases were overwhelmingly dominant in the top 20 leading causes of YLDs worldwide, without any infectious diseases [1]. Between 1990 and 2013, numbers of deaths from chronic non-communicative diseases and injuries steadily increased while deaths from communicable, maternal, neonatal, and nutritional causes decreased. For most of the leading non-communicable diseases (NCDs), the number of deaths had increased by 42% from 27.0 million (UI 26.3–27.6) in 1990 to 38.3 million (37.2–39.4) in 2013 [2]. Among chronic diseases, hypertension and diabetes mellitus were major causes of mortality not only in most of developed countries, but also in developing countries with high-burden, requiring disease management and continuous treatment [3]. For these reasons, monitoring GBD for realizing UN Sustainable Development Goals (SDGs) has become an important consensus at the World Health Organization (WHO) [4]. However, within the public health system of most countries, many hypertension and diabetes mellitus patients do not comply with treatments such as regular and continuous revisits to health care facilities and taking medicine. Their conditions become worse due to their old age and comorbid infection such as the coronavirus disease-2019 (COVID-19). They often suffer complications and die. A meta-analysis by Huang et al. [5] has recently reported that diabetes is associated with mortality, severity, and disease progression in patients with COVID-19.

1.1. Chronic Diseases Intervention Program and Rule of Halves

One cornerstone of community-based intervention programs for early detection and treatment of chronic diseases including hypertension began in the early 1970s, continuing up to date in Finland [6,7,8,9]. To be related with this project, classic studies the “rule of halves” for controlling hypertension in the community had been published (i.e., only half of hypertensive population were undetected, half of those detected were untreated, and half of those who were treated were not controlled for their hypertension) [10,11]. Although various efforts have been made for the detection and prevention of hypertension globally, recent population studies have shown that awareness and management of high blood pressure (BP) levels are far from optimal [12]. Empirically, Marques-Vidal et al. [13] have performed a systematic review and indicated that, although the “rule of halves” is no longer applied for screening and treating hypertensive patients in industrialized countries, it might still be valid for early detecting and caring for hypertension in developing countries and for effective antihypertensive drug treatment in all countries.
In South Korea, due to its rapid economic growth and aging since 1990s, chronic diseases such as hypertension and diabetes instead of infectious diseases have surged to bring a huge national medical cost. Amid epidemiological transmission, this rule of halves has also been shown to be valid in Korea’s community-based intervention program for controlling hypertension [14]. According to the Korea Health Statistics 2018, among Korean adults aged 30 years and older, hypertension awareness rate increased from 66.3% (during 2007–2009) to 69.1% (during 2016–2018), rising by 2.8%. Hypertension treatment rate also improved from 60.3% to 65.3%, rising by 5.0%. The rate of controlled hypertension among treated population was 1.5 times higher than that among the entire hypertensive population (73.1% vs. 48.3%), showing an upward pattern [15].
Today, addressing chronic diseases is a major challenge for healthcare systems in all countries. These healthcare systems have largely been developed to cope with acute episodic medical services rather than to provide well-organized care for people with chronic conditions [16]. Control of NCDs in primary care plays a key role in both prevention and treatment for elderly patient with chronic conditions. There is a need to understand which interventions are effective, for whom, and in what context. Defining features and delivery stage of primary health care (including registration, continuity, coordination, and comprehensiveness) is important for controlling chronic conditions [17]. In the 1990s, Wagner et al. [18] developed a chronic care model (CCM) as a platform to enhance the quality of chronic care. It was an organizational approach to caring for people with NCDs. CCM is particularly applicable in a primary care setting. Reynolds et al. [19] have confirmed that self-management support is the most frequent intervention among six elements of the CCM. It is significantly associated with continuous management, predominately for diabetes and hypertension.
Recognizing this, after establishing a comprehensive plan for cardio-cerebrovascular diseases in 2006, the Ministry of Health and Welfare chose Daegu Metropolitan City as the pilot region to register and manage hypertension and diabetes patients through local clinics and pharmacies in 2007 in order to establish the management for hypertension and diabetes not only as an individual approach, but also as a community-centered management system. This chronic disease management intervention (Korea Hypertension Diabetes Daegu Initiative, KHyDDI) first began four years ago in a rural area. It is foremost now within the main framework of CCM [20,21]. Afterwards, registration and education centers for hypertension and diabetes in 2012 were expanded to 19 districts of 12 Metropolitan cities and Provinces [22] with budgets allocated from central and local government as shown in Figure 1. Unlike the central government’s original plan, however, these community-based intervention programs are currently only operated in 9.8% of the country, with additional participation from some local governments [23,24].
Since 1989, the Korean government has already introduced ambitious universal coverage schemes via a national health insurance system based on fee-for-service, moving significantly faster than industrialized countries [25,26,27]. Unlike the government-led chronic disease management project, the National Health Insurance Service has conducted a “medication counselling intervention program” or a “community based primary care project” since 2012 as a chronic disease management program, focusing on insurer-led or (primary care) physician-led management of hypertension, hyperlipidemia, or diabetes [28,29]. Despite this universal health coverage, a nationwide survey has found that there are still socioeconomic disparities in the control of patients with hypertension and diabetes in Korea [30,31].

1.2. Chronic Diseases Management Policy and Analytic Hierarchy Process (AHP)

Treatment or medication adherence is well known to be related to continuity of care, which might render healthcare providers more accountable for managing their patients with chronic diseases continuously [32]. Continuity of care is defined as continuous and consistent supply of medical services by healthcare manpower to meet patients’ medical needs or the concept of a “continuous caring relationship” between doctor and patient [33,34]. Continuity of care is especially important for the effectiveness of chronic disease management [35]. Primary care services for controlling chronic diseases need to make active efforts to minimize diverse obstacles to continuity of care in a community. Considering payment methods for a physician, out-of-pocket fee-for-service payment is a common deterrent not only to access but also to continuity of care [36,37]. With regard to comprehensiveness, continuity, and patient-centered care, private clinics do not perform differently than public health centers. In rural areas rather than urban areas of most countries, governmental health centers are usually designed to work in close relationship with the community they serve [38]. Considering a rapidly aging population and the increased prevalence of chronic diseases in Korea, the new administration led by Moon Care since 2017 is willing to reform health care system toward moving a primary care orientation [39]. However, without a comprehensive review of the primary health care policy for chronic disease management, there is room for confusion. Thus, it is important to secure clear evidence necessary for policy decisions and priorities.
The AHP method was designed by Saaty in the late 1970s to aid managers in decision-making of issues about qualitative, quantitative, and mixed criteria. The AHP was proposed to deal with both instinctive and rational decisions when selecting the best priority from two alternative policies according to multicriteria [40,41]. Using the AHP method in decision-making involves a three-phase process, including hierarchical building phase, performing paired comparisons and calculating weights, and finally determining system compatibility [42].
Several research studies have proven that the application of AHP to support group decisions is useful in medical and health care fields [43,44,45,46,47,48,49,50]. Since 1981, AHP has been applied inconsistently in healthcare research. However, using AHP for evaluating health care has increased since 2005 [51]. According to results of a systematic review, AHP is a promising support method for shared decision-making between patients and physicians, evaluation and selection of diagnoses and treatments, and evaluation of health care technologies and policies [52].
Therefore, the aim of this study was to implement a comparative analysis for sustainable management of hypertension and diabetes and investigate the perception of the relative importance of two alternative healthcare priorities using an AHP model. One of these two alternative approaches was that a community-based intervention program would improve treatment compliance of patients with chronic diseases at the individual level. Another alternative was that the program would enhance the continuity of care at the community level.

2. Materials and Methods

2.1. Developing the Analytic Hierarchy Process (AHP) Model

We applied the AHP model as an evaluation model based on priority selection for continuous management of hypertension and diabetes in community-based intervention programs. According to Saaty’s axioms for AHP [40,42], we structured the AHP model largely in three steps as suggested by Shin et al. [46] and Dolan et al. [47] as follows: (1) preliminary phase—systematic review on chronic disease management programs, content analysis of annual reports of the Hypertension and Diabetes Registration and Education Center (HyDiREC), and brainstorming among Hongcheon Center’s staff for establishing an evaluation model; (2) new formulated phase for decision hierarchy—define decision elements, construct decision model, and decompose decision into smaller parts; (3) AHP questionnaire survey and priority analysis phase—perform a nationwide survey with AHP questionnaire and compare importance of criteria and the alternatives’ priorities.
At the first AHP step, theoretical and prior researches related to main interest of this study, i.e., chronic disease management programs, were reviewed [6,7,8,17,33]. First of all, theoretical models related to treatment compliance of patients with chronic diseases included a health belief model [53], Andersen’s medical care utilization model [54,55], and the health lifestyle paradigm [56]. Results of 32 articles (including Korean articles) [6,7,8,10,11,12,13,14,17,18,20,21,57,58] were collected and divided into domains (or variables) of each theoretical model to identify effects on treatment compliance and draft an evaluation model. Up to 2014, 428 articles on continuity of care and health care system were collected through literature search using databases such as PubMed. Among them, 50 articles, including those from Australia [59], Italy and Sweden [60], Canada [61], UK [62], Taiwan [63], Finland [64], and Korea [65], were reflected in the elaboration of the initial evaluation model. The AHP evaluation alternatives about treatment compliance at patient level and continuity of care at community level was currently associated with the “chronic care model (CCM)” and “health system strengthening (HSS)” emphasized by main international organizations [66,67,68]. This also coincided with the concept of health promotion or lifestyle modification for prevention of chronic disease from WHO [69]. In addition, our research team reflected results of content analysis conducted on the 1st annual report of hypertension and diabetes registration management program in five regions (Hongcheon-gun, Gangwon-do; Jung-gu, Ulsan; Bucheon-city, Gyeonggi-do; Jeju-city, Jeju-do; and Gwangsan-gu, Gwangju). In this stage, the basic framework of the AHP analysis model, which consisted of infrastructure (budget, workforce input)—process (implementation of program)—outcome (participation of health care facilities, patient registration, counselling, and completion status of education) suggested by Shin et al. (2009) [46], was utilized.

2.2. Decision Hierarchy Criteria for Selecting Prioritization

In the second AHP step, the aim of this study was defined following the main criteria that could be divided further at lower levels into sub-criteria. This stage began with brainstorming of a group of experts consisting of seven healthcare practitioners in Hongcheon-gun HyDiREC and a regional public health center and four academic professionals. Qualified healthcare practitioners such as nurses, nutritionists, or exercise instructors were mainly responsible for patient registration, health education (about diseases, nutrition, and exercise), monitoring and counseling to patients, and links to health care facilities within the center. Academic professionals majoring in preventive medicine, health science, and administration also participated in this study while supporting the planning, implementation, and evaluation of the Center’s annual work. In principle, brainstorming requires members to initially state as many ideas as possible, including improving or merging previously stated ideas [70].
Summing up results of the previous phase, our decision hierarchy finally consisted of six levels: a goal, four levels of criteria, and alternatives. These elements are represented in a tree-like structure. The hierarchy represents the structure of the decision problem and forms the basis of comparisons that have to be made in the following phases. In this study, the primary goal was to choose an alternative for sustainable management of hypertension and diabetes mellitus in the community. The hierarchy includes four levels of criteria (main criteria, first sub-criteria, second sub-criteria, and third sub-criteria). In our study, the two major evaluation criteria for sustainable management of chronic diseases were defined as approach strategy for patients (individual level) and healthcare system (community level), respectively. The approach strategy for patients consisted of health behavior and behavior of health care utilization in the first sub-criteria. The first evaluation sub-criteria for approach strategy of healthcare system were classified as program infrastructure, program process, and program outcome.
The program infrastructure stage evaluated personal, physical, and financial resources needed to implement a program. A strong infrastructure for community-based intervention program is critical to assure the registration of patients with hypertension and diabetes mellitus, to conduct their education programs, to build up the public-private partnership, and to link with community resources (primary care physicians, pharmacists, senior community health volunteers). It also requires adequate government funding. In this process stage, we evaluated the feasibility and adequacy related to program management and implementation that could be used to scale up a program quality both immediately and in the future. Finally, the outcome stage of program evaluation determined the efficiency of spreading the program into other regions. This includes an assessment of the registration rate in the regional HyDiREC, regular visiting rate in their community clinics, the adequacy of the health education reports, and the timeliness and up-to-date status of the program.
In this AHP model, core factors of the second sub-criteria consisted of six major categories: (1) input factors for building infrastructure, (2) participation mechanism within a community, (3) adequacy of center operation and provision of services, (4) adequacy of administrative steps, (5) program output, and (6) program performance. The third sub-criteria in the fifth level of the hierarchy were then divided into 50 critical factors.
Given the hierarchy illustrated in Figure 2, the priority setting procedure began by pairwise comparison of the criteria with respect to the overall goal.

2.3. AHP Questionnaire Survey and Priority Analysis

In the last AHP step, we investigated the validity of our criteria and the hierarchical structure of this AHP model from 1 April 2014 to 7 April 2014. The Delphi method was also used in this phase to design AHP questionnaires completed by a few expert groups in other HyDiRECs in Korea [22,23]. As a result, the AHP survey questionnaire was ultimately confirmed through revision by performing the pilot survey for seven staff of Hongcheon-gun HyDiREC and four professionals associated with this community-based intervention program. The AHP questionnaire was composed of basic information for respondents and relative importance evaluation based on the Likert scale (7-point scale, 2 main parts) and priority evaluation through pairwise comparison by criteria (9 points in both directions). To aggregate survey subjects’ weightings, respondents were asked to rate each group weight using the 7-point Likert scale from “not very important” to “very important.” The AHP survey questionnaire had alternative options of pairwise comparison composed of “improvement for treatment compliance” and “enhancement for continuity of care.” The numerical scale used to make pairwise comparison ranged from 9 to 1 (9 points in both directions), with 1 denoting equal importance and 9 denoting the highest degree of importance. All criteria were compared in a pairwise manner when the AHP technique was used. AHP could also be used to measure scale properties (i.e., global weights) for elements in this model, which was referred to as prioritization [40,42]. Priorities (global weights) were measured with within-group analysis for all evaluation criteria in each level. Importance ranking was selected in the order of sequence of priorities value.
The AHP survey was conducted for a total of 185 community health practitioners working at 19 HyDiRECs and 19 regional public health centers nationwide in Korea. Survey questionnaires were collected through mail and e-mail. After fully explaining the content and the purpose of the research through mail or phone and obtaining the consent, the survey was conducted from 10 April 2014 to 3 May 2014. Among target subjects, 140 participated in this survey, showing a response rate of 75.7%. Finally, 133 sets of the survey questionnaire were used as database for analysis, excluding poorly answered ones. If the consistency ratio (CR) exceeded 0.2, respondents were excluded from the final analysis. If the CR value was less than 0.1 then it is considered “good,” if it was less than 0.2 then it is “fair” [40].
Data was further analyzed with a 90-day limited license of Expert Choice Desktop for academy (EC) for AHP evaluation [71]. Right now, the above version is no longer supported and another demo version with same function is provided on this website. In addition, descriptive analysis such as average and frequency was performed for each main characteristic of AHP survey participants. The geometric mean was calculated by averaging participants’ responses at each point of importance comparison to form a composite matrix using SAS 9.2 for Windows (Institute Inc., Cary, NC, USA). For the arithmetic mean (Mg), the sum of each mean in the evaluation criteria (options) between levels, as shown in the following formula, was 1. However, the geometric mean was calculated with the formula of ‘logMg’. Since weights analyzed by AHP were values with a decimal point of 1 or less, the sum of those means was less than 1. Nevertheless, the use of geometric means was not an issue when it came to ranking comparisons measured for relative importance [72].
M g = X 1 × X 2 × X 3 × · · · × X n  
l o g M g = i = 1 N log X i / N

3. Results

3.1. General Characteristics of AHP Survey Participants

Table 1 shows results of descriptive analysis for general characteristics of 133 subjects and 70 valid respondents. Among participants, 17 (12.8%) and 116 (87.2%) were men and women, respectively. The age distribution of those surveyed was follows: 42.1% (56) in their 30s and 29.3% (39) in their 40s. In terms of academic background, 97 participants (72.9%) graduated from universities, and 14 (10.5%) and 13 (9.8%) had master’s and doctorate degrees, respectively. Regarding their majors, nursing and nutrition accounted for 72 (54.1%) and 30 (22.6%), respectively. This is because nurses and nutritionists are required in the workforce guideline of the HyDiREC in Korea Centers for Disease Control and Prevention (KCDC). Considering that most directors in the HyDiREC were university professors, 78 (58.6%) and 40 (30.1%) participated in the HyDiREC and each regional public health center, respectively. Their average work experience in the field was 69.8 months or 5 years and 10 months. The valid response rate excluding 63 subjects from the final analysis was 52.6%, depending on the value of the CR. The frequency by general characteristics of a total of 70 valid respondents was similar without showing significant difference from the frequency of survey participants (133).

3.2. Importance Evaluation to Approach Strategy for Patients and Healthcare System

In this section, we present the results of relative importance evaluation by a 7-point Likert scale. As a result of the AHP model analysis, when the importance evaluation among criteria for sustainable management of hypertension and diabetes was compared in terms of patients and healthcare system dimension, the approach strategy for patients was found to be more importantly perceived. Healthy life-style (anti-smoking, reducing alcohol drinking, nutrition, physical activities) (6.26 points), risk awareness for hypertension and diabetes (likelihood and severity of disease) (6.23 points), and health examination participation rate (blood pressure, blood glucose) (6.14 points) were included at higher ranks of the importance at patients (individual) level. These all belonged to the domain of health-related behaviors (Table 2). Health practitioners in 19 regional public health centers of Korea seemed to view patients’ health-related behaviors (at individual level) more importantly given clinical features of hypertension and diabetes.
On the other hand, the specialty of manpower (6.27 points), working continuity of manpower (6.23 points), adequacy of health education content (6.19 points), and adequate selection and disposition of manpower were included at higher ranks of importance at healthcare system (community) level. All these sub-criteria belonged to the domain of appropriateness of center operation and service provision under the program process evaluation (Table 3). This finding indicates that the appropriate health education by specialized staff and the service provision guaranteed by working continuity of staff are recognized as important factors for sustainable management of non-communicable diseases in local communities. Thus, registration and education centers for hypertension and diabetes can further strengthen the current health care system in Korea.

3.3. Pairwise Comparison of Evaluation Criteria for Community-Based Intervention Program

In our study, results of the AHP modeling were divided into criteria evaluation and relative priorities of decision alternatives for sustainable management of hypertension and diabetes. Criteria evaluations for sustainable management of hypertension and diabetes were first divided into four stages according to hierarchical criteria. The priority awareness toward evaluation criteria for sustainable management of hypertension and diabetes is shown in the following.
First, as shown in Table 4, the evaluation of approach strategy for patients (0.525) was more important than the approach strategy for healthcare system (0.332) in the main evaluation criteria. This indicates that even if the healthcare system strengthening strategy at the community level is attempted through the hypertension and diabetes registration management program, which is being implemented based on chronic care model (CCM), the patient’s individual-level approach strategy for improving health behavior after recognition of the risk caused by the possibility and severity of chronic diseases including hypertension and diabetes should be prioritized.
Second, important factors of the first evaluation sub-criteria were the behavior of health care utilization (0.461) in the approach strategy for patients and the program infrastructures (0.295) in the approach strategy for healthcare system, respectively. In the second evaluation sub-criteria, important options were: (1) participation system within community (0.436) as one of program infrastructures, (2) adequacy of center operation and service provided (0.672) as one of program processes, and (3) program output (0.453) as one of program outcomes as shown in Table 4. This result shows that the “adequacy of center operation and service provided” is the most important factor of the intermediate evaluation criteria. This means services provided by the current hypertension and diabetes registration education center are appropriate and important for sustainable management of chronic diseases.
Third, the five most important factors of the third evaluation sub-criteria were: (1) patient satisfaction (0.0471), (2) healthy life-style (anti-smoking, reducing alcohol, nutrition, physical activities) (0.0393), (3) well-timed health policy (0.0353), (4) health examination participation rate (blood pressure and blood glucose test) (0.0343), and (5) risk awareness for hypertension and diabetes (likelihood/severity) (0.0318) (Table 4 and Figure 3). All these factors fell into the core sub-criteria of “the approach strategy for patients.” In terms of each of intermediate level evaluation criterion, the most important third evaluation factors were: (1) healthy life-style (0.0393) as part of health behavior, (2) patient satisfaction (0.0471) as part of behavior of health care utilization, (3) adequacy of governmental budget for program (0.0064) as part of investment resources for building infrastructure, (4) voluntary participation level of community residents (0.0115) as part of participation system within the community, (5) specialty (empowerment) of manpower (0.0073) as part of adequacy of center operation and service provided, (6) adequacy of repayment process of costs and observance of the demonstration program guidance (0.0034) as part of adequacy of administrative procedure, (7) pass rate of health education (about disease, nutrition, exercise) (0.0086) as part of program output, and (8) reducing the death rate of cardiovascular diseases (long-term effect) (0.0067) as part of program performance.
In this study, the patient satisfaction factor was found to be the most important criterion of all factors for sustaining the continuous management of hypertension and diabetes. Healthy life-style (anti-smoking, reducing alcohol, nutrition, physical activities) was the second most important factor. In the end, it was prioritized that the higher the patient satisfaction in health care utilization behavior and the healthier the lifestyle in health behavior, the easier it would be to improve treatment compliance for patients with hypertension and diabetes. This is of particular interest to healthcare managers and policymakers who currently have limited access to evidence-based health policies and would like to learn how to implement and understand the community-based intervention program within their scarce resources.

3.4. Comparison of Alternative Preference and Priorities Gap According to Evaluation Criteria

These results illustrate that high-ranking indicators from first to third level evaluation criteria should be the first priority to successfully implement and manage a community-based intervention program for sustainable management of hypertension and diabetes. Based on final AHP results of our study, we can conclude that the improvement for treatment compliance is a better alternative than the enhancement for continuity of care (Table 5).
Next, this study performed a preference gap analysis between improvement for treatment compliance and enhancement for continuity of care according to the evaluation criteria. The purpose of this analysis was to specify how much more preferable the improvement for treatment compliance was compared to the enhancement for continuity of care with respect to each criterion. That is, judgments regarding the relative preference of the alternatives are made relative to each criterion. Table 6 shows priorities of alternatives and absolute values of differences (gap) between priorities of alternatives in terms of the evaluation criteria.
First, the “improvement for treatment compliance” alternative was only preferred to the “enhancement for continuity of care” alternative at the approach strategy for patients in the main evaluation criteria. However, the “enhancement for continuity of care” alternative was preferred to the “improvement for treatment compliance” alternative only at the approach strategy for healthcare system. Second, when evaluating alternatives using the first sub-criteria, the “improvement for treatment compliance” was preferable to the “enhancement for continuity of care” particularly for health behavior, health care utilization behavior, and program outcome. Finally, when evaluating alternatives using the second sub-criteria, the “improvement for treatment compliance” was preferable to the “enhancement for continuity of care,” particularly for investment resources for building infrastructure, participation system within community, and program output and program performance. This means that the “improvement for treatment compliance” makes a larger contribution than the “enhancement for continuity of care” with respect to achieving program goals. The most contributive factor in our study was defined as the factor with the largest gap. The five most contributive factors of intermediate level evaluation criteria were: (1) health behavior, (2) health care utilization behavior, (3) program outcome, (4) investment resources for building infrastructure, and (5) program output.

4. Discussion

First of all, this study is the first attempt to assess priorities at the level of patient’s individual and healthcare system of community-based intervention programs for sustainable management of chronic diseases. Management of chronic diseases is not just a problem in developed countries today [2,3]. Chronic diseases are directly related to aging due to their characteristics, but they are also largely related to how each patient usually maintains health-related behaviors before the age of 60 [12,13,14]. To date, diverse interventions have been applied along with various theoretical models to solve this problem at national or community level in both developed and developing countries. Korea is currently trying to quickly respond to policy suggestions through implementation and expansion of community-based intervention programs in the primary care setting in a national level [19,21,22,23,24,28,29]. It is important not only to find hidden hypertension and diabetes patients within the community, but also to find patients who do not continue treatment early [10]. The optimal implementation strategy of community-based intervention program for sustainable management of hypertension and diabetes depends on the presence of such an evaluation mechanism. This study developed an evaluation model to find the best alternative for sustaining the continuous management of hypertension and diabetes using the AHP as the most promising method for prioritizing requirements as China’s case [58]. In this study, results of AHP modeling were divided into the evaluation of criteria and relative priorities of decision alternatives of community-based intervention for sustainable management of chronic diseases.
Continuous pursuit of management for controlling chronic diseases, whether it is led by the government or the insurer [24,28], is also important. Still many hypertension and diabetes patients are either not managing their own diseases well or are not aware of this disease. Especially, among total geriatric patients, 24% have reported the experience of ceasing continuous treatment. Among those, 50% had financial reasons [57,73]. Here, we have to understand that “treatment adherence” and “continuity of care” for patients with chronic diseases can be both sides of a coin. Conceptual models of barriers to adherence to the elderly describe patient, prescriber, and health care system factors. Some potential barriers (i.e., factors associated with nonadherence) in older adults have been identified in a few studies [73,74,75], including patient-related factors (such as disease-related knowledge, health literacy, and cognitive function), drug-related factors (such as adverse effects and polypharmacy), and other factors including the patient-provider (or prescriber) relationship and various logistical barriers to obtaining medications. Furthermore, non-adherence with prescribed antihypertensive medications is only one aspect of a patient’s attitude towards healthcare delivery. Patients may display additional features that could be deleterious, such as non-adherence with healthcare appointments. They may pursue self-destructive lifestyles such as unhealthy diets and physical inactivity [76]. Roy et al. [77] have identified the following facilitating and inhibiting factors that can affect continuity of care to physicians: (1) physician-patient relationship, interest in clinical continuity of care activities, positive role models, working alongside a nurse, and adequate access to community resources as main facilitating factors, and (2) scope of administrative duties, interest in a comprehensive practice, a negative experience of continuity of care during training, a sense of inadequacy with respect to continuity of care, a heavy case load, and a lack of support in the practice as main barriers. This ambivalence was also found in the analysis results of the priority perception according to AHP evaluation criteria developed in this study.
Our researchers, who had participated in the planning and evaluating Hongcheon-gun Hypertension and Diabetes Registration and Education Program for the past eight years [78,79], finally selected two opposing views of community-based intervention programs as policy alternatives to the AHP evaluation model that faced new challenges amid drastic changes in health policies in Korea. Unlike other AHP studies [43,44,45,46,47,48,49,50,51,52], this study largely had a three-step mixed process. We developed AHP evaluation criteria using research methods such as extensive literature review, brainstorming, content analysis, Delphi technique, and AHP questionnaire survey (including the pilot survey) based on the long experience of carrying out community health projects in Ganghwa-gun, Korea, and Tikapur, Nepal [80]. Therefore, our research team expected that the dimension for strengthening the health care system would take precedence over a patient’s health-related behaviors. However, our results showed the opposite. That is, current health practitioners recognized that the approach strategy for patients (0.525) for improving treatment compliance was very important in the main evaluation criteria. This was partly because the surveyor was limited to community health practitioners who directly participated in the current hypertension and diabetes registration and education project in Korea. Of course, the analysis of priority perception showed that “healthcare utilization behavior” (0.461) in the patient’s individual domain had the higher priority than “program infrastructure” (0.295) in the healthcare system. In second sub-criteria, “adequacy of center operation and service provision” (0.672), “program output” (0.453), and “community participation system” (0.436) each ranked the highest in priority. Moreover, the “patient satisfaction” factor (0.0471) and “healthy life-style (anti-smoking, reducing alcohol, nutrition, physical activities)” (0.0393) were found to be the most important criterion of all evaluation criteria factors in third sub-criteria. This result was the same as those of studies on preference of patients using AHP for medicinal therapy for type 2 diabetes [81,82]. Therefore, it is necessary to emphasize the specialty of health behaviors and lifestyle modification from the planning stage of future community-based intervention programs. It is also important to provide feedback to not only health practitioners, but also primary care physicians in the community in consideration of continuity of care [21,49,62]. Furthermore, the government should not only strengthen medical education on patients’ behavioral changes [77] such as with family physicians, but also actively promote the development of health insurance benefits package, such as in Thailand’s case [83].
Like our research, multicriteria decision analysis (MCDA) [40,72] is now being applied in various community health areas as an approach to promote evidence-based, patient-centered healthcare [47], prioritize health education needs for community participation [49], develop health intervention in the universal coverage health benefit package [83], and prioritize investment in public health intervention [84]. The need for supporting a patient’s behavior of healthcare utilization via system building was then seen as a priority for implementing the community-based intervention program. This suggests that for healthcare utilization behavior and management of non-communicable disease in accordance to health perception of an NCD patient, more emphasis should be placed on the importance of staff specialty that can provide proper services. On the other hand, in analysis results for priority perception according to third sub-criteria, patient satisfaction and healthy lifestyle ranked the highest priority, consistent with results of other reports [7,9,23,24,58] stating that in order to systematically treat and manage NCD patients, the central or local government should pay more active attention to prevention through securing budget and expanding public health care service.
This study makes several policy implications in relation to treatment compliance and continuity of care for sustainable management of hypertension and diabetes [85]. First, health education programs for hypertension and diabetes should be continuously provided to improve patients’ awareness on the significance of health-related behavior. This was based on results emphasizing patient level awareness for the continuity of hypertension and diabetes treatment done by professionals as target [86], including “awareness of risk concerning hypertension and diabetes (onset possibility/severity),” “healthy lifestyle (non-smoking, moderate drinking behavior, nutrition, exercise),” and “physical examination participation rate (checking blood glucose and blood pressure).” Second, the doctor-patient relationship should be reinforced by making the best use of the demonstration program where residents are encouraged to visit their nearest primary medical clinics for the continuity of care [87]. Unlike infectious diseases, in order to improve treatment compliance of chronic diseases such as hypertension and diabetes, a support from primary physicians to regularly visit the primary health care near the house is fundamentally important. Third, the government (central and local) should pursue a more evidence-based health policy [88]. The government will need to give positive support for strengthening the national health system of health policies for disease management so that patients can take care of themselves personally. Fourth, a systematic capacity building should follow constantly to secure the specialty of chronic disease management personnel. Fifth, the public-private partnership should come first based on the linkage with local community resources (for supporting economic incentives) as emphasized by the primary health care system [89,90]. As seen in result of this research, “the voluntary participation level of community resident” within program infrastructure as (public health system) domain was found to be important. Moreover, considering the “participation of private clinic and pharmacy,” which is the basic model for hypertension and diabetes registration and management assumed as precondition, an association with community resources (retired senior community health volunteers in case of Hongcheon-gun) [78] through establishment and utilization of public-private partnership within a community, is required for improving the efficiency in relation to program performance. At any rate, community-based intervention health programs with public-private partnership should be actively considered rather than unilateral projects led by the government or insurers to improve patients’ treatment compliance in the case of chronic disease management with CCM.
Although this study extracted and analyzed factors of the evaluation criteria on the relative importance for sustainable management of hypertension and diabetes, it had the following limitations. First, the response rate was high (75.7%), although contents of the questionnaire survey with the AHP method might be somewhat unfamiliar to community health practitioners at 19 sites, unlike other general surveys. However, the representation of health project participants nationwide in 254 public health centers and the intrinsic value of selective bias could not be ignored. Thus, there might be limitations in interpretation and utilization of our results. Second, our AHP questionnaire survey was not available to hypertensive patients, diabetes patients or the general public. This was because AHP questionnaire contents were very high in difficulty index and large in its quantity. Thus, answers to the questionnaire could not be easily written by these patients or the general public. Third, as a result of simplifying the hierarchy of evaluation criteria by focusing on consistency in the evaluation through prior systematic review and Delphi technique, there was a limitation in deriving concrete and in-depth analysis. Nevertheless, 70 out of 133 survey participants had CRs of 0.2 or higher, with a valid response rate of 52.6%. Another weakness of this study was that data from the 2014 survey were used for analysis, which might be somewhat less timely. However, the importance of chronic disease management can be emphasized as the political environment for health policy is rapidly changing due to the coronavirus disease-19 pandemic and recent increase of the AHP application in health and medical research.

5. Conclusions

We analyzed the relative importance of evaluation criteria using our proposed AHP model for intervention and management of chronic diseases in Korea. By evaluating the relative importance of the AHP model for sustainable management of hypertension and diabetes, all participants in our survey seemed to view patients’ preventive strategy as being important given clinical features of hypertension and diabetes. The domain of appropriateness of center operation and service provision in program process evaluation was also highly ranked as a healthcare system strategy. In conclusion, for sustainable management of hypertension and diabetes within regional communities, not only service provision through selection and continuous work of capable staff, but also the appropriateness of health education about health-related behavior that can improve a patient’s satisfaction and treatment adherence are important. Health education is only the first stage in lifestyle modification. Continuous health education programs for patients with diabetes and hypertension within a community are needed for their behavior change accordingly. Future research should focus on expanding survey subjects to primary care physicians and even policymakers of central government for a proper use of this AHP model.

Author Contributions

D.H.B. and C.-B.K. initiated the idea for this study. D.H.B. and C.-B.K. was also supported by the KCDC and Hongcheon County. M.-B.P. led the formal analysis and data curation. H.-R.S. and M.-B.P. undertook the investigation. R.S.C. and C.-B.K. were involved in the methodology of this study. H.-R.S. undertook the project administration. D.H.B. wrote the initial draft of the article. R.S.C. and C.-B.K. reviewed and edited the final draft of the article. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the Korea Centers for Disease Control and Prevention (KCDC) and Hongcheon County in Kangwon Province grant (2014–2015). The APC was funded by the KCDC and Hongcheon County grant (#2019-51-0404).

Institutional Review Board Statement

For the ethical consideration, this study was conducted according to the guidelines of the Declaration of Helsinki and the review exemption was approved by the Institutional Review Board of Yonsei University Wonju Severance Christian Hospital (protocol code CR317342 and 25 August 2019 of approval).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

Data sharing is not applicable to this article.

Acknowledgments

We would like to thank the 19 Regional Public Health Centers and Hypertension and Diabetes Registration and Education Centers in Korea. Also, we are grateful to the Division of Chronic Disease Prevention, KCDC and the Health, Welfare and Women’s Affairs Bureau, Kangwon Province. The views expressed are those of the authors and not necessarily those of the KCDC.

Conflicts of Interest

The authors declare no potential conflict of interest.

References

  1. Vos, T.; Barber, R.M.; Bell, B.; Bertozzi-Villa, A.; Biryukov, S.; Bolliger, I.; Charlson, F.; Davis, A.; Degenhardt, L.; Dicker, D. Global Burden of Disease Study 2013 Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015, 386, 743–800. [Google Scholar] [CrossRef] [Green Version]
  2. Naghavi, M.; Wang, H.; Lozano, R.; Davis, A.; Liang, X.; Zhou, M.; Vollset, S.E.; Ozgoren, A.A.; Abdalla, S.; Abd-Allah, F. GBD 2013 Mortality and Causes of Death Collaborators. Global, regional, and national age-sex specific all-cause and cause-specific mortality for 240 causes of death, 1990–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015, 385, 117–171. [Google Scholar] [CrossRef]
  3. Alwan, A.; Maclean, D.R.; Riley, L.M.; d’Espaignet, E.T.; Mathers, C.D.; Stevens, G.A.; Bettcher, D. Monitoring and surveillance of chronic non-communicable diseases: Progress and capacity in high-burden countries. Lancet 2010, 376, 1861–1868. [Google Scholar] [CrossRef]
  4. Mathers, C.D. History of global burden of disease assessment at the World Health Organization. Arch. Public Health 2020, 78, 77. [Google Scholar] [CrossRef] [PubMed]
  5. Huang, I.; Lim, M.A.; Pranata, R. Diabetes mellitus is associated with increased mortality and severity of disease in COVID-19 pneumonia: A systematic review, meta-analysis, and meta-regression. Diabetes Metab. Syndr. 2020, 14, 395–403. [Google Scholar] [CrossRef]
  6. Puska, P.; Koskela, K.; Pakarinen, H.; Puumalainen, P.; Soininen, V.; Tuomilehto, J. The North Karelia Project: A programme for community control of cardiovascular diseases. Scand. J. Soc. Med. 1976, 4, 57–60. [Google Scholar] [CrossRef]
  7. Nissinen, A.; Tuomilehto, J.; Elo, J.; Salonen, J.T.; Puska, P. Implementation of a hypertension control program in the county of North Karelia, Finland. Public Health Rep. 1981, 96, 503–513. [Google Scholar]
  8. Tuomilehto, J.; Piha, T.; Nissinen, A.; Geboers, J.; Puska, P. Trends in stroke mortality and in antihypertensive treatment in Finland from 1972 to 1984 with special reference to North Karelia. J. Hum. Hypertens. 1987, 1, 201–208. [Google Scholar]
  9. Puska, P.; Jaini, P. The North Karelia Project: Prevention of cardiovascular disease in Finland through population-based lifestyle interventions. Am. J. Lifestyle Med. 2020, 14, 495–499. [Google Scholar] [CrossRef]
  10. Wilber, J.A. The problem of undetected and untreated hypertension in the community. Bull. N. Y. Acad. Med. 1973, 49, 510–520. [Google Scholar]
  11. Tuomilehto, J.; Puska, P.; Virtamo, J.; Nissinen, A. Hypertension control in North Karelia before the intervention of the North Karelia Project. Scand. J. Soc. Med. 1980, 8, 9–15. [Google Scholar] [CrossRef] [PubMed]
  12. Smith, W.C.; Lee, A.J.; Crombie, I.K.; Tunstall-Pedoe, H. Control of blood pressure in Scotland: The rule of halves. Br. Med. J. 1990, 300, 981–983. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Marques-Vidal, P.; Tuomilehto, J. Hypertension awareness, treatment and control in the community: Is the ‘rule of halves’ still valid? J. Hum. Hypertens. 1997, 11, 213–220. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Kim, C.Y.; Lee, K.S.; Khang, Y.H.; Yim, J.; Choi, Y.J.; Lee, H.K.; Lee, K.H.; Kim, Y.I. Health behaviors related to hypertension in rural population of Korea. Korean J. Prev. Med. 2000, 33, 56–68. [Google Scholar]
  15. Korea Centers for Disease Control and Prevention. Rates of Hypertension Awareness, Treatment, and Control among Korean Adults Aged 30 Years and Over, 2007–2018. Public Health Wkly. Rep. 2020, 13, 1425–1428. Available online: http://www.kdca.go.kr/board/board.es?mid=a30501000000&bid=0031&list_no=367220&act=view# (accessed on 3 November 2020).
  16. World Health Organization. Innovative Care for Chronic Conditions: Building Blocks for Action. 2001. Available online: http://www.who.int/chp/knowledge/publications/icccreport/en/ (accessed on 10 November 2020).
  17. Rothman, A.A.; Wagner, E.H. Chronic illness management: What is the role of primary care? Ann. Intern. Med. 2003, 138, 256–261. [Google Scholar] [CrossRef]
  18. Wagner, E.H.; Austin, B.T.; Von Korff, M. Organizing care for patients with chronic illness. Milbank Q. 1996, 74, 511–544. [Google Scholar] [CrossRef]
  19. Reynolds, R.; Dennis, S.; Hasan, I.; Slewa, J.; Chen, W.; Tian, D.; Bobba, S.; Zwar, N. A systematic review of chronic disease management interventions in primary care. BMC Fam. Pract. 2018, 19, 11. [Google Scholar] [CrossRef]
  20. Lee, J.H.; Yang, D.H.; Park, H.S.; Cho, Y.; Jun, J.E.; Park, W.H.; Chun, B.Y.; Shin, J.Y.; Shin, D.H.; Lee, K.S.; et al. HYpertension-Diabetes Daegu Initiative Study Investigators. Incidence of hypertension in Korea: 5-year follow-up study. J. Korean Med. Sci. 2011, 26, 1286–1292. [Google Scholar] [CrossRef]
  21. Lee, H.J.; Lee, J.J.; Hwang, T.Y.; Kam, S. KHyDDI Project. Development and evaluation of a community staged education program for the cardiocerebrovascular disease high-risk patients. J. Agric. Med. Community Health 2012, 37, 167–180. [Google Scholar] [CrossRef] [Green Version]
  22. Korea Disease Control and Prevention Agency. Program for Prevention and Management for a Cardio-cerebrovascular Disease: Registration and Management Program for Hypertension/Diabetes. Available online: http://www.kdca.go.kr/contents.es?mid=a30335000000 (accessed on 30 November 2020).
  23. Lee, S.Y. Community based strategies and directions for the management of hypertension and diabetes. Korean J. Health Educ. Promot. 2016, 33, 67–77. [Google Scholar] [CrossRef] [Green Version]
  24. Lee, M.S.; Lee, K.S.; Lee, J.J.; Hwang, T.Y.; Lee, J.Y.; Yoo, W.S.; Kim, K.Y.; Kim, S.K.; Kim, J.Y.; Park, K.S.; et al. Directions and current issues on the policy of prevention and management for hypertension and diabetes, and development of chronic disease prevention and management model in Korea. J. Agric. Med. Community Health 2020, 45, 13–40. [Google Scholar] [CrossRef]
  25. Kwon, S. Thirty years of national health insurance in South Korea: Lessons for achieving universal health care coverage. Health Policy Plan. 2009, 24, 63–71. [Google Scholar] [CrossRef] [PubMed]
  26. Do, N.; Oh, J.; Lee, J.S. Moving toward universal coverage of health insurance in Vietnam: Barriers, facilitating factors, and lessons from Korea. J. Korean Med. Sci. 2014, 29, 919–925. [Google Scholar] [CrossRef]
  27. Ranabhat, C.L.; Jakovljevic, M.; Dhimal, M.; Kim, C.B. Structural factors responsible for universal health coverage in low- and middle-income countries: Results from 118 countries. Front. Public Health 2020, 7, 414. [Google Scholar] [CrossRef] [Green Version]
  28. Sohn, H.S.; Jang, S.; Lee, J.Y.; Han, E. Patient response to insurer-led intervention for medication adherence—A pilot study based on claims data in Korea. Int. J. Clin. Pharmacol. Ther. 2016, 54, 28–35. [Google Scholar] [CrossRef]
  29. Kim, H.S.; Suh, Y.; Kim, M.S.; Yoo, B.N.; Lee, E.J.; Lee, E.W.; Park, J.H. Effects of community-based primary care management on patients with hypertension and diabetes. Asia Pac. J. Public Health 2019, 31, 522–535. [Google Scholar] [CrossRef]
  30. Lee, H.Y.; Hahm, M.I.; Choi, K.S.; Jun, J.K.; Suh, M.; Nam, C.M.; Park, E.C. Different socioeconomic inequalities exist in terms of the prevention, diagnosis and control of diabetes. Eur. J. Public Health 2015, 25, 961–965. [Google Scholar] [CrossRef] [Green Version]
  31. Lee, H.Y. Socioeconomic disparities in the prevalence, diagnosis, and control of hypertension in the context of a universal health insurance system. J. Korean Med. Sci. 2017, 32, 561–567. [Google Scholar] [CrossRef] [Green Version]
  32. Warren, J.R.; Falster, M.O.; Tran, B.; Jorm, L. Association of continuity of primary care and statin adherence. PLoS ONE 2015, 10, e0140008. [Google Scholar] [CrossRef] [Green Version]
  33. Citro, R.; Ghosh, S.; Churgin, P.G. Modeling and evaluation of continuity of care in a staff model HMO. MD Comput. 1998, 15, 298–306. [Google Scholar] [PubMed]
  34. Gulliford, M.; Naithani, S.; Morgan, M. What is ‘continuity of care’? J. Health Serv. Res. Policy 2006, 11, 248–250. [Google Scholar] [CrossRef] [PubMed]
  35. Naithani, S.; Gulliford, M.; Morgan, M. Patients’ perceptions and experiences of ‘continuity of care’ in diabetes. Health Expect. 2006, 9, 118–129. [Google Scholar] [CrossRef] [PubMed]
  36. Smith-Rohrberg Maru, D.; Khakha, D.C.; Tahir, M.; Basu, S.; Sharma, S.K. Poor follow-up rates at a self-pay northern Indian tertiary AIDS clinic. Int. J. Equity Health 2007, 6, 14. [Google Scholar] [CrossRef] [Green Version]
  37. Kim, J.A.; Kim, E.S.; Lee, E.K. Evaluation of the chronic disease management program for appropriateness of medication adherence and persistence in hypertension and type-2 diabetes patients in Korea. Medicine 2017, 96, e6577. [Google Scholar] [CrossRef]
  38. World Health Organization. The World Health Report 2008: Primary Health Care—Now More Than Ever; World Health Organization: Geneva, Switzerland, 2008; pp. 41–60. Available online: https://www.who.int/whr/2008/en/ (accessed on 14 December 2020).
  39. Sung, N.J.; Choi, Y.J.; Lee, J.H. Primary care comprehensiveness can reduce emergency department visits and hospitalization in people with hypertension in South Korea. Int. J. Environ. Res. Public Health 2018, 15, 272. [Google Scholar] [CrossRef] [Green Version]
  40. Saaty, T.L. Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation, 1st ed.; McGraw-Hill: Pittsburgh, PA, USA, 1980. [Google Scholar]
  41. Saaty, T.L.; Wong, M.M. Projecting average family size in rural India by the analytic hierarchy process. J. Math. Sociol. 1983, 9, 181–209. [Google Scholar] [CrossRef]
  42. Saaty, T.L. Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 2008, 1, 83–98. [Google Scholar] [CrossRef] [Green Version]
  43. Hannan, E.L.; O’Donnell, J.; Freedland, T. A priority assignment model for standards and conditions in a long term care survey. Socioecon. Plann. Sci. 1981, 15, 277–289. [Google Scholar] [CrossRef]
  44. Weingarten, M.S.; Erlich, F.; Nydick, R.L.; Liberatore, M.J. A pilot study of the use of the analytic hierarchy process for the selection of surgery residents. Acad. Med. 1997, 72, 400–402. [Google Scholar] [CrossRef]
  45. Hariharan, S.; Dey, P.K.; Chen, D.R.; Moseley, H.S.L.; Kumar, A.Y. Application of analytic hierarchy process for measuring and comparing the global performance of intensive care units. J. Crit. Care 2005, 20, 117–125. [Google Scholar] [CrossRef] [PubMed]
  46. Shin, T.; Kim, C.B.; Ahn, Y.H.; Kim, H.Y.; Cha, B.H.; Uh, Y.; Lee, J.H.; Hyun, S.J.; Lee, D.H.; Go, U.Y. The comparative evaluation of expanded national immunization policies in Korea using an analytic hierarchy process. Vaccine 2009, 27, 792–802. [Google Scholar] [CrossRef] [PubMed]
  47. Dolan, J.G. Multi-criteria clinical decision support: A primer on the use of multiple criteria decision making methods to promote evidence-based, patient-centered healthcare. Patient 2010, 3, 229–248. [Google Scholar] [CrossRef] [PubMed]
  48. Mühlbacher, A.C.; Juhnke, C. Patient preferences versus physicians’ judgement: Does it make a difference in healthcare decision making? Appl. Health Econ. Health Policy 2013, 11, 163–180. [Google Scholar] [CrossRef] [PubMed]
  49. Hashemian, M.; Ghardashi, F.; Izadi, A.R.; Akbarzadeh, R. Prioritizing the health education needs based on community participation: AHP method. J. Educ. Health Promot. 2019, 8, 127. [Google Scholar] [CrossRef]
  50. Nasiri, T.; Bahadori, M.; Ravangard, R.; Meskarpour Amiri, M. Factors affecting the failure to report medical errors by nurses using the analytical hierarchy process (AHP). Hosp. Top. 2020, 98, 135–144. [Google Scholar] [CrossRef]
  51. Schmidt, K.; Aumann, I.; Hollander, I.; Damm, K.; von der Schulenburg, J.M. Applying the analytic hierarchy process in healthcare research: A systematic literature review and evaluation of reporting. BMC Med. Inform. Decis. Mak. 2015, 15, 112. [Google Scholar] [CrossRef] [Green Version]
  52. Liberatore, M.J.; Nydick, R.L. The analytic hierarchy process in medical and health care decision making: A literature review. Eur. J. Oper. Res. 2008, 189, 194–207. [Google Scholar] [CrossRef]
  53. Becker, M.H.; Drachman, R.H.; Kirscht, J.P. A new approach to explaining sick-role behavior in low-income populations. Am. J. Public Health 1974, 64, 205–216. [Google Scholar] [CrossRef] [Green Version]
  54. Aday, L.A.; Andersen, R. A framework for the study of access to medical care. Health Serv. Res. 1974, 9, 208–220. [Google Scholar]
  55. Andersen, R.M. Revisiting the behavioral model and access to medical care: Does it matter? J. Health Soc. Behav. 1995, 36, 1–10. [Google Scholar] [CrossRef] [PubMed]
  56. Cockerham, W.C. Health lifestyle theory and the convergence of agency and structure. J. Health Soc. Behav. 2005, 46, 51–67. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Kim, K.C.; Kim, J.T.; Kim, J.S.; Sim, J.Y.; Lee, H.R.; Jo, H.S. Medication compliance in the elderly and the factors associated with compliance. Korean J. Fam. Med. 1999, 20, 1216–1223. [Google Scholar]
  58. Hu, H.; Liang, W.; Liu, M.; Li, L.; Li, Z.; Li, T.; Wang, J.; Shi, T.; Han, S.; Su, M.; et al. Establishment and evaluation of a model of a community health service in an underdeveloped area of China. Public Health 2010, 124, 206–217. [Google Scholar] [CrossRef]
  59. Overland, J.; Yue, D.K.; Mira, M. Continuity of care in diabetes: To whom does it matter? Diabetes Res. Clin. Pract. 2001, 52, 55–61. [Google Scholar] [CrossRef]
  60. Ferraretto, F.; Salmaso, D.; Pegoraro, C. Continuity of care: Community care in Italy and Sweden—A comparison. Prof. Inferm. 2005, 58, 80–82. [Google Scholar]
  61. Menec, V.H.; Sirski, M.; Attawar, D. Does continuity of care matter in a universally insured population? Health Serv. Res. 2005, 40, 389–400. [Google Scholar] [CrossRef] [Green Version]
  62. Alazri, M.H.; Heywood, P.; Neal, R.D.; Leese, B. UK GPs’ and practice nurses’ views of continuity of care for patients with type 2 diabetes. Fam. Pract. 2007, 24, 128–137. [Google Scholar] [CrossRef]
  63. Chen, C.C.; Chen, S.H. Better continuity of care reduces costs for diabetic patients. Am. J. Manag. Care 2011, 17, 420–427. [Google Scholar]
  64. Raivio, R.; Jääskeläinen, J.; Holmberg-Marttila, D.; Mattila, K.J. Decreasing trends in patient satisfaction, accessibility and continuity of care in Finnish primary health care—A 14-year follow-up questionnaire study. BMC Fam. Pract. 2014, 15, 98. [Google Scholar] [CrossRef] [Green Version]
  65. Shin, D.W.; Cho, J.; Yang, H.K.; Park, J.H.; Lee, H.; Kim, H.; Oh, J.; Hwang, S.; Cho, B.; Guallar, E. Impact of continuity of care on mortality and health care costs: A nationwide cohort study in Korea. Ann. Fam. Med. 2014, 12, 534–541. [Google Scholar] [CrossRef] [PubMed]
  66. Glasgow, R.E.; Orleans, C.T.; Wagner, E.H. Does the chronic care model serve also as a template for improving prevention? Milbank Q. 2001, 79, 579–612. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  67. Wagner, E.H.; Glasgow, R.E.; Davis, C.; Bonomi, A.E.; Provost, L.; McCulloch, D.; Carver, P.; Sixta, C. Quality improvement in chronic illness care: A collaborative approach. Jt. Comm. J. Qual. Improv. 2001, 27, 63–80. [Google Scholar] [CrossRef]
  68. Bodenheimer, T.; Wagner, E.H.; Grumbach, K. Improving primary care for patients with chronic illness: The chronic care model, part 2. JAMA 2002, 288, 1909–1914. [Google Scholar] [CrossRef] [PubMed]
  69. Margetts, B. Feedback on WHO/FAO global report on diet, nutrition and prevention of chronic diseases (NCD). Public Health Nutr. 2003, 6, 423–424. [Google Scholar] [CrossRef] [PubMed]
  70. Hariharan, S.; Dey, P.K.; Moseley, H.S.L.; Kumar, A.Y.; Gora, J. A new tool for measurement of process-based performance of multispecialty tertiary care hospitals. Int. J. Health Care Qual. Assur. Inc. Leadersh. Health Serv. 2004, 17, 302–312. [Google Scholar] [CrossRef]
  71. Expertchoice® for Collaboration Decision Making. Expert Choice Desktop for Academy (EC). Available online: https://www.expertchoice.com/analytic-hierarchy-process-experts (accessed on 10 October 2020).
  72. Adunlin, G.; Diaby, V.; Xiao, H. Application of multicriteria decision analysis in health care: A systematic review and bibliometric analysis. Health Expect. 2015, 18, 1894–1905. [Google Scholar] [CrossRef] [Green Version]
  73. Hughes, C.M. Medication non-adherence in the elderly: How big is the problem? Drugs Aging 2004, 21, 793–811. [Google Scholar] [CrossRef]
  74. Murray, M.D.; Morrow, D.G.; Weiner, M.; Clark, D.O.; Tu, W.; Deer, M.M.; Brater, D.C.; Weinberger, M. A conceptual framework to study medication adherence in older adults. Am. J. Geriatr. Pharmacother. 2004, 2, 36–43. [Google Scholar] [CrossRef]
  75. Gellad, W.F.; Grenard, J.L.; Marcum, Z.A. A systematic review of barriers to medication adherence in the elderly: Looking beyond cost and regimen complexity. Am. J. Geriatr. Pharmacother. 2011, 9, 11–23. [Google Scholar] [CrossRef] [Green Version]
  76. Gosmanova, E.O.; Lu, J.L.; Streja, E.; Cushman, W.C.; Kalantar-Zadeh, K.; Kovesdy, C.P. Association of medical treatment nonadherence with all-cause mortality in newly treated hypertensive US veterans. Hypertension 2014, 64, 951–957. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Roy, A.; Breton, M.; Loslier, J. Providing continuity of care to a specific population: Attracting new family physicians. Can. Fam. Physician 2016, 62, e256–e262. [Google Scholar] [PubMed]
  78. Byun, D.H.; Kim, E.J.; Park, M.B.; Son, H.R.; Park, H.K.; Kim, C.B. Accessible strategy of the registration & management of hypertension and diabetes mellitus patients through the public-private partnership: Policy implications from the Hongcheon-gun Case. Korean J. Health Educ. Promot. 2013, 30, 111–123. [Google Scholar] [CrossRef] [Green Version]
  79. Son, K.J.; Son, H.R.; Park, B.; Kim, H.J.; Kim, C.B. A community-based intervention for improving medication adherence for elderly patients with hypertension in Korea. Int. J. Environ. Res. Public Health 2019, 16, 721. [Google Scholar] [CrossRef] [Green Version]
  80. Kim, C.B.; Chung, M.K. Primary Health Care: Tikapur Nepal Meets Ganghwa Republic of Korea!—The Link and Performance of International and Regional Development, 1st ed.; Pakyoungsa: Seoul, Korea, 2019. [Google Scholar]
  81. Mühlbacher, A.C.; Bethge, S.; Kaczynski, A.; Juhnke, C. Objective criteria in the medicinal therapy for Type II Diabetes: An analysis of the patients’ perspective with analytic hierarchy process and best-worst scaling. Gesundheitswesen 2016, 78, 326–336. [Google Scholar] [CrossRef]
  82. Dintsios, C.M.; Chernyak, N.; Grehl, B.; Icks, A. Quantified patient preferences for lifestyle intervention programs for diabetes prevention—A protocol for a systematic review. Syst. Rev. 2018, 7, 214. [Google Scholar] [CrossRef] [Green Version]
  83. Youngkong, S.; Baltussen, R.; Tantivess, S.; Mohara, A.; Teerawattananon, Y. Multicriteria decision analysis for including health interventions in the universal health coverage benefit package in Thailand. Value Health 2012, 15, 961–970. [Google Scholar] [CrossRef] [Green Version]
  84. Marsh, K.; Dolan, P.; Kempster, J.; Lugon, M. Prioritizing investments in public health: A multi-criteria decision analysis. J. Public Health 2013, 35, 460–466. [Google Scholar] [CrossRef] [Green Version]
  85. Ham, C. The ten characteristics of the high-performing chronic care system. Health Econ. Policy Law 2010, 5 Pt 1, 71–90. [Google Scholar] [CrossRef] [Green Version]
  86. Shahaj, O.; Denneny, D.; Schwappach, A.; Pearce, G.; Epiphaniou, E.; Parke, H.L.; Taylor, S.J.C.; Pinnock, H. Supporting self-management for people with hypertension: A meta-review of quantitative and qualitative systematic reviews. J. Hypertens. 2019, 37, 264–279. [Google Scholar] [CrossRef]
  87. Fletcher, B.R.; Hinton, L.; Hartmann-Boyce, J.; Roberts, N.W.; Bobrovitz, N.; McManus, R.J. Self-monitoring blood pressure in hypertension, patient and provider perspectives: A systematic review and thematic synthesis. Patient Educ. Couns. 2016, 99, 210–219. [Google Scholar] [CrossRef] [PubMed]
  88. Wagner, E.H.; Austin, B.T.; Davis, C.; Hindmarsh, M.; Schaefer, J.; Bonomi, A. Improving chronic illness care: Translating evidence into action. Health Aff. 2001, 20, 64–78. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Gholamzadeh Nikjoo, R.; Jabbari Beyrami, H.; Jannati, A.; Asghari Jaafarabadi, M. Prioritizing public-private partnership models for public hospitals of Iran based on performance indicators. Health Promot. Perspect. 2012, 2, 251–264. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  90. Zhang, D.; Wang, G.; Joo, H. A systematic review of economic evidence on community hypertension interventions. Am. J. Prev. Med. 2017, 53, S121–S130. [Google Scholar] [CrossRef] [PubMed] [Green Version]
Figure 1. Current operation status of registration and education center for hypertension and diabetes in Korea. Years in parenthesis indicate the beginning time of the project.
Figure 1. Current operation status of registration and education center for hypertension and diabetes in Korea. Years in parenthesis indicate the beginning time of the project.
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Figure 2. Hierarchical structure of community-based intervention program for sustainable management of hypertension and diabetes according to the AHP model.
Figure 2. Hierarchical structure of community-based intervention program for sustainable management of hypertension and diabetes according to the AHP model.
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Figure 3. Priority of the third evaluation sub-criteria for community-based intervention program with pairwise comparison. To easily interpret priorities (global weights), the critical factor (patient satisfaction) with the highest priority was standardized to one. Other factors were rearranged according to their importance ranking.
Figure 3. Priority of the third evaluation sub-criteria for community-based intervention program with pairwise comparison. To easily interpret priorities (global weights), the critical factor (patient satisfaction) with the highest priority was standardized to one. Other factors were rearranged according to their importance ranking.
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Table 1. General characteristics of analytic hierarchy process (AHP) survey participants. Unit: Person (%).
Table 1. General characteristics of analytic hierarchy process (AHP) survey participants. Unit: Person (%).
CharacteristicsCategoryAHP Survey ParticipantsValid Respondents *
No.%No.%
SexMale1712.81217.1
Female11687.25882.9
Age group20–292015.01420.0
30–395642.13245.7
40–493929.31724.3
50–591712.868.6
60+10.811.4
Education levelBachelor9772.95477.1
Master1410.568.6
Ph.D.139.868.6
Others96.845.7
MajorMedicine107.568.6
Nursing7254.14158.6
Nutrition3022.61420.0
Athletics53.845.7
Public health32.300.0
Others139.857.1
Work placeUniversity1511.31115.7
HyDiREC7858.64564.3
Health Center4030.11420.0
Total133100.070100.0
Ph.D.: Doctor of Philosophy; HyDiREC: Hypertension and Diabetes Registration and Education Center. * If the consistency ratio (CR) exceeded 0.2, data of respondents were excluded from the final analysis.
Table 2. Relative importance by evaluation criteria of community-based intervention program to approach strategy for patients (individual level).
Table 2. Relative importance by evaluation criteria of community-based intervention program to approach strategy for patients (individual level).
First Sub-CriteriaThird Sub-CriteriaMean ScoreRank
Health behaviorRisk awareness for hypertension & diabetes (likelihood/severity)6.232
Cue to action for health behavior5.994
Self-efficacy5.806
Experience of socialization5.3914
Healthy life-style (anti-smoking, reducing alcohol, nutrition, physical activities)6.261
Health examination participation rate (blood pressure/glucose test)6.143
Behavior of health care utilizationCharacteristic of medication use (dosage, frequency, drug form)5.6810
Family supporting system/social network5.6211
Patient-doctor relationship (family doctor etc.)5.5513
Using possibility of information related hypertension & diabetes5.6211
Assuring accessibility (economic/geographic/psychologic)5.738
Adequacy of community resource (workforce and facilities, delivery system)5.709
Well-timed health policy5.777
Patient satisfaction5.994
Table 3. Relative importance by evaluation criteria of community-based intervention program to approach strategy for healthcare system (community level).
Table 3. Relative importance by evaluation criteria of community-based intervention program to approach strategy for healthcare system (community level).
First Sub-CriteriaSecond Sub-CriteriaThird Sub-CriteriaMean ScoreRank
Program infrastructureInvestment resources for building infrastructureFeasibility of plan for demonstration program5.8916
Adequacy of governmental budget for program5.9611
Construct computer system for program6.009
Adequacy of region selected for demonstration program5.5328
Adequacy of the committed institution selected5.4730
Suitability of the cooperative institutes limited5.3736
Participation system within communityOperation policy of demonstration program5.5328
Build up the public-private partnership5.9512
Voluntary participation level of community residents6.066
Linkage with community resources6.018
Program processAdequacy of center operation & service providedAdequate selection & disposition of manpower6.184
Working continuity of manpower6.232
Specialty (empowerment) of manpower6.271
Time required for services (counselling/repayment cost)5.6621
Adequacy of health education content (disease, nutrition, exercise)6.193
Adequacy of recall & remind service provided5.6423
Adequacy of PR & campaign of demonstration program5.7519
Adequacy of incentive provision for health behavior improvement5.4730
Development & operation of region specialized program5.7320
Evaluation & revision of computer system5.9215
Adequacy of administrative proceduresAdequacy of registry process for patients5.6224
Adequacy for finding the unmet needs people5.4035
Adequacy of problem-solving method5.5626
Legality for using the registry DB & personal information5.5527
Adequacy of repayment process of costs5.4333
Observance of the demonstration program guidance5.4234
Program outcomeProgram outputRegistry rate of patients5.6025
Regular visiting rate to (healthcare) medical facilities of patients5.8317
Rate of patients without treatment5.8018
Pass rate of health education (disease, nutrition, exercise)5.6621
Program performanceService (quantity/quality) satisfaction5.9512
Participation rate of private clinic6.175
Participation rate of pharmacy6.037
Adequacy of economic coverage (medical fee + drug cost)5.9314
Adequacy of policy unsupported to 30~64 years5.4432
Reducing the death rate of cardiovascular diseases (long-term effect)5.9910
Table 4. Priority by each evaluation criteria for community-based intervention program with pairwise comparison.
Table 4. Priority by each evaluation criteria for community-based intervention program with pairwise comparison.
Main CriteriaFirst Sub-CriteriaSecond Sub-CriteriaThird Sub-CriteriaPriorities
(Global Weights)
Importance Rank
Approach strategy
for patients
(individual level)
(Global weight: 0.525, Importance rank: 1)
Health behavior
(Global weight: 0.391, Importance rank: 2)
-Risk awareness for hypertension & diabetes (likelihood/severity)0.03185
Cue to action for health behavior0.022910
Self-efficacy0.02328
Experience of socialization0.014914
Healthy life-style (anti-smoking, reducing alcohol, nutrition, physical activities)0.03932
Health examination participation rate (blood pressure/glucose test)0.03434
Behavior of health care utilization
(Global weight: 0.461, Importance rank: 1)
-Characteristic of medication use (dosage, frequency, drug form)0.015213
Family supporting system/social network0.022611
Patient-doctor relationship (family doctor etc.)0.02328
Using possibility of information related hypertension & diabetes0.020212
Assuring accessibility (economic/geographic/psychologic)0.02466
Adequacy of community resource (workforce and facilities, delivery system)0.02437
Well-timed health policy0.03533
Patient satisfaction0.04711
Approach strategy for healthcare system (community level)
(Global weight: 0.332, Importance rank: 2)
Program infrastructure
(Global weight: 0.295, Importance rank: 1)
Investment resources for building infrastructure
(Global weight: 0.420, Importance rank: 2)
Feasibility of plan for demonstration program0.005031
Adequacy of governmental budget for program0.006423
Construct computer system for program0.005924
Adequacy of region selected for demonstration program0.005229
Adequacy of the committed institution selected0.005031
Suitability of the cooperative institutes limited0.004235
Participation system within community
(Global weight: 0.436, Importance rank: 1)
Operation policy of demonstration program0.004534
Build up the public-private partnership0.008019
Voluntary participation level of community residents0.011515
Linkage with community resources0.009116
Program process
(Global weight: 0.272, Importance rank: 2)
Adequacy of center operation & service provided
(Global weight: 0.672, Importance rank: 1)
Adequate selection & disposition of manpower0.000150
Working continuity of manpower0.005825
Specialty (empowerment) of manpower0.007321
Time required for services (counselling/repayment cost)0.004037
Adequacy of health education content (disease, nutrition, exercise)0.003641
Adequacy of recall & remind service provided0.003940
Adequacy of PR & campaign of demonstration program0.004037
Adequacy of incentive provision for health behavior improvement0.004136
Development & operation of region specialized program0.004733
Evaluation & revision of computer system0.005628
Adequacy of administrative procedures
(Global weight: 0.249, Importance rank: 2)
Adequacy of registry process for patients0.002149
Adequacy for finding the unmet needs people0.002348
Adequacy of problem-solving method0.002845
Legality for using the registry DB & personal information0.002845
Adequacy of repayment process of costs0.003442
Observance of the demonstration program guidance0.003442
Program outcome
(Global weight: 0.248, Importance rank: 3)
Program output
(Global weight: 0.453, Importance rank: 1)
Registry rate of patients0.005726
Regular visiting rate to (healthcare) medical facilities of patients0.008318
Rate of patients without treatment0.008019
Pass rate of health education (disease, nutrition, exercise)0.008617
Program performance
(Global weight: 0.430, Importance rank: 2)
Service (quantity/quality) satisfaction0.002547
Participation rate of private clinic0.005726
Participation rate of pharmacy0.004037
Adequacy of economic coverage (medical fee + drug cost)0.005130
Adequacy of policy unsupported to 30~64 years0.003442
Reducing the death rate of cardiovascular diseases (long-term effect)0.006722
Table 5. Priorities by alternative policy (alternative preference).
Table 5. Priorities by alternative policy (alternative preference).
Alternative PolicyPriorities (Alternative Preference)
Improvement for treatment compliance0.550
Enhancement for continuity of care0.396
Table 6. Gap analysis of alternative priorities (alternative preference) based on evaluation criteria.
Table 6. Gap analysis of alternative priorities (alternative preference) based on evaluation criteria.
LevelEvaluation CriteriaImprovement for Treatment ComplianceEnhancement for Continuity of CareGap
Main criteriaApproach strategy for patients0.37190.22460.1473
Approach strategy for healthcare system0.19900.2011−0.0021
First
sub-criteria
Health behavior0.17790.09500.0829
Behavior of health care utilization0.19400.12960.0644
Program infrastructure0.06330.0726−0.0093
Program process0.06910.0785−0.0094
Program outcome0.07340.05390.0195
Second
sub-criteria
Investment resources for building infrastructure0.04340.03130.0121
Participation system within community0.03200.03020.0018
Adequacy of center operation & service provided0.02760.0450−0.0174
Adequacy of administrative procedures0.01730.0460−0.0287
Program output0.03230.02160.0107
Program performance0.03820.03520.0030
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Byun, D.H.; Chang, R.S.; Park, M.-B.; Son, H.-R.; Kim, C.-B. Prioritizing Community-Based Intervention Programs for Improving Treatment Compliance of Patients with Chronic Diseases: Applying an Analytic Hierarchy Process. Int. J. Environ. Res. Public Health 2021, 18, 455. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020455

AMA Style

Byun DH, Chang RS, Park M-B, Son H-R, Kim C-B. Prioritizing Community-Based Intervention Programs for Improving Treatment Compliance of Patients with Chronic Diseases: Applying an Analytic Hierarchy Process. International Journal of Environmental Research and Public Health. 2021; 18(2):455. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020455

Chicago/Turabian Style

Byun, Do Hwa, Rho Soon Chang, Myung-Bae Park, Hyo-Rim Son, and Chun-Bae Kim. 2021. "Prioritizing Community-Based Intervention Programs for Improving Treatment Compliance of Patients with Chronic Diseases: Applying an Analytic Hierarchy Process" International Journal of Environmental Research and Public Health 18, no. 2: 455. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18020455

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