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Article

Oral Health Status and Patterns of Dental Service Utilization of Adolescents in Lesotho, Southern Africa

1
Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON N6A 3K7, Canada
2
Dental Public Health, Department of Preventive Dental Sciences, College of Dentistry, Jazan University, Jizan 45142, Saudi Arabia
3
Faculty of Health Sciences, Nursing Department, National University of Lesotho, Maseru 180, Lesotho
4
College of Dentistry, University of Saskatchewan, Saskatoon, SK S7N 5E4, Canada
5
Department of Community Health & Epidemiology College of Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E4, Canada
6
Private Dentist, Maseru 180, Lesotho
7
Oral Health Science, Faculty of Dentistry, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
8
Oral and Biological Medical Sciences, Faculty of Dentistry, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
*
Author to whom correspondence should be addressed.
Academic Editor: Pantelis Perdikaris
Received: 22 December 2020 / Revised: 1 February 2021 / Accepted: 2 February 2021 / Published: 7 February 2021
(This article belongs to the Special Issue Dental Caries and Oral Health in Children)

Abstract

This study aimed to characterize the best predictors for unmet dental treatment needs and patterns of dental service utilization by adolescents in the Kingdom of Lesotho, Southern Africa. A self-reported 40-item oral health survey was administered, and clinical oral examinations were conducted in public schools in Maseru from August 10 to August 25, 2016. Associations between psychosocial factors with oral health status and dental service utilization were evaluated using simple, bivariate, and multivariate regressions. Five hundred and twenty-six survey responses and examinations were gathered. The mean age of student participants was 16.4 years of age, with a range between 12 and 19 years of age. More than two thirds (68%; n = 355) of participants were female. The majority reported their quality of life (84%) and general health to be good/excellent (81%). While 95% reported that oral health was very important, only 11% reported their personal dental health as excellent. Three percent reported having a regular family dentist, with the majority (85%) receiving dental care in a hospital or medical clinic setting; only 14% had seen a dental professional within the previous two years. The majority of participants did not have dental insurance (78%). Clinical examination revealed tooth decay on 30% of mandibular and maxillary molars; 65% had some form of gingivitis. In multivariate analysis, not having dental education and access to a regular dentist were the strongest predictors of not visiting a dentist within the last year. Our results suggest that access to oral health care is limited in Lesotho. Further patient oral health education and regular dental care may make an impact on this population.
Keywords: unmet needs; Lesotho; barriers to care; dental needs; adolescents; caries; oral health; access to care unmet needs; Lesotho; barriers to care; dental needs; adolescents; caries; oral health; access to care

1. Introduction

Oral health is central to general health and wellbeing [1]. This becomes particularly important when dealing with adolescents, as oral diseases can have a significant psychosocial impact and restrict daily activities, including hours lost from school and work [2]. Oral health in the most under-privileged nations is often neglected due to various psychosocial disparities such as limited resources, poverty, and lack of access to preventive dental services [3]. The countries of Southern Africa, including South Africa, Namibia, Botswana, Lesotho, and Eswatini are home to 63.4 million people. Of this population, 19.1 million are children under the age of 15 [4]. The Kingdom of Lesotho is within South Africa and has a population of 2.2 million people. Children under the age of 15 compose 35.7% of the Lesotho population [4].
The United Nations categorized Lesotho as an underdeveloped country with persistently high unemployment rates (23–28%) over the last 10 years [5]. In 10 urban centres in Lesotho, nearly a third of the population was receiving food or cash for living assistance from friends and family outside the Kingdom to provide living assistance. In the capital Maseru, 46% of the residents receive assistance in the form of food, cash, or both from outside of Lesotho, making it one of the top 20 most unequal countries in the world [6,7].
Although the government of Lesotho endeavours to provide universal primary health care for all citizens through a decentralized system, facilitating local control and decision-making at the district and community levels, Lesotho has experienced worsening health outcomes over the past decade. The World Bank Group (2018) attributed this trend largely to the burden of HIV/AIDS, comparatively high rates of tuberculosis, and systemic deficiencies [7]. Not surprisingly, preventative or therapeutic oral health care is not provided due to the shortage of oral health personnel and challenges in infrastructure [8]. A study by Umunna, James, and Ricks in 2009 indicated that the main barriers to dental care in Lesotho were shortage of oral healthcare providers and general resources compounded by transportation difficulties [9].
According to an epidemiological survey from 1998, 92% of the adult population in Lesotho had dental caries, with 93% of those receiving extractions as treatment [10]. Two decades later, a study conducted by Keating et al. (2019) with orphanages in Lesotho only reported on the number referrals to a dental professional [11]; the majority of the referrals were due to caries, with dental extraction being the most common form of treatment provided [11]. To the best of our knowledge, there is no data regarding the oral health status of the adolescent population in Lesotho. Hence, there was a need to identify psychosocial factors that impact the access to dental care and unmet dental treatment needs in adolescents in Lesotho [9], as elaborated in the framework of health service utilization proposed by Andersen and Newman (A&N) [12]. This framework categorizes the psychosocial factors into three broad categories of predisposing, enabling, and need factors. Predisposing factors include sex, the availability of a medical doctor, access to health education, having a medical condition, and water fluoridation. Enabling factors include financial affordability and means to afford dental care, including annual income, access to transportation, dental insurance, and social support. Need factors include clinical needs such as the decayed, missing, or filled teeth (DMFT) index for a given population, and subjective needs including oral hygiene, self-reported oral health, and oral health education. Using the A&N framework helps to understand the propensity of a population to access available dental services to meet their unmet dental treatment needs [13,14,15,16]. By utilizing the A&N framework of dental service utilization, this study aimed to (1) identify the unmet dental treatment needs and patterns of dental service utilization by adolescents and; (2) characterize the best predictors for perceived oral health status and dental visits for these adolescents in the Kingdom of Lesotho, Southern Africa.

2. Materials and Methods

Ethics approval to analyze this data was sought by the University of Saskatchewan Bio Medical Research Ethics Board (Bio-ID 650, approved 8 January 2019). This study was made possible via a collaboration between Smile Lesotho Foundation (SLF), academics from the University of British Columbia (UBC), and the National University of Lesotho (NUL) in response to Smile Lesotho Foundation’s call to identify the unmet dental treatment need of local adolescents. Faculty members and students, along with a community dentist from Maseru, educational specialists, the Minister of Health, and local stakeholders, were actively engaged in the development and execution of this project. This project was designed to serve as the foundational step in developing a program to provide long-term primary oral care to the adolescent population in that country.

2.1. Participant Recruitment and Data Collection

After seeking approvals from the Ministries of Health and Education and Training, participant recruitment was done through convenience sampling in the public schools located in Maseru, the capital city of Lesotho (population 2.14 million). Participants included 50 randomly selected students from each of the 10 schools from grades A/6 to grade E/12. Every fifth participant was selected from class lists provided by the school principal, until eight to twelve participants were selected form each class. Printed copies of the consent form, which outlined study objectives and sought permission to participate in the dental examination, were sent out to the parents/guardians of the participants. This study utilized a self-reported survey and clinical examinations to collect subjective and objective oral health data according to the A&N model of health service utilization. The self-reported survey was an adaptation from the Canadian Oral Health Measure Survey, and questions from World Health Organization household questionnaire were also included to capture a wide range of predictors associated with the oral health status of study participants [17,18]. The self-reported questionnaire can be found as Supplementary Materials Attachment S1. This manuscript presents only some aspects of the collected data; we have analyzed 40 items from the self-reported data, and other results will be presented in the subsequent manuscripts. The first 28 items on the survey captured the social demographic information, including the environmental risk factors. Parents/guardians responded on behalf of the participants to these questions. The last 12 items on the survey were pertinent to self-reported oral health status, including most commonly experienced dental conditions; adolescents responded to these questions, aided by volunteer nursing students from the NUL. Clinical examination followed the completion of the survey to capture the DMFT data of the study participants. These examinations were conducted in an available space either in a class room setting, a library or an open play ground. These examinations were held indoors or outdoors and utilized the chairs and writing desks. Examiners wore magnifying loupes with a head light and utilized single use disposable instruments including dental mirrors, tongue depressors, cotton rolls, and Marquis probes.
Four calibrated dentists conducted the oral examinations. Calibration exercise of the examiners involved two steps. In the first step, the clinicians were trained by the principal investigator (PI) to carry out the dental caries diagnosis through visual-tactile examination. Four permanent molars, 16, 26, 36, and 46, were examined to determine the DMFT and plaque status of the study participants. A tooth was considered to be decayed if there was a visible disruption of the enamel surface together with a tactile sense using a Marquis probe. In the second step, the readings of 10 randomly selected participants were cross checked by the PI to ensure there was consistency amongst all the examiners. A statistical analysis finding to report the calibration was ruled out because the examiners were trained by the PI, with a standard diagnosis criterion, and no discrepancies were observed in the diagnosis of the 10 randomly selected participants in pilot. All study participants, irrespective of their oral health status, were provided with oral hygiene products.

2.2. Statistical Analysis

Descriptive statistics were reported using numbers and percentages and then bivariate analysis was carried out using chi-square tests to identify the independent factors associated with self-reported oral health and dental visits. Univariate and multivariable logistic regression were applied to identify the most important predictors for perceived oral health and dental visits of the study sample. All univariate predictors with p < 0.10 were further assessed in the multivariable model. The objective of this analysis was to identify the independent variables that could strongly explain a statistically significant variation among the dependent variables in a model that is adjusted for other covariates. Adjusted odds ratio (OR) with 95% confidence interval (CI) was reported and the variables with p-value <0.05 were considered to be statistically significant. Statistical analysis was performed with SPSS, version 9.4 (SPSS Institute Inc., Cary, NC, USA). Missing data was replaced with the overall mean or median of that variable, although it likely reduced variance in the dataset.

3. Results

A total of 526 students participated in the survey and clinical examinations; not all guardians provided answers to all the demographic items. The A&N model of health service utilization served as a theoretical framework to determine the predictors that influence the unmet dental treatment needs and patterns of dental service utilization in adolescent-aged school population in Maseru, Lesotho. The findings of the univariate analyses are presented in Table 1 and Table 2; bivariate and multivariate results are presented in Table 3, Table 4 and Table 5.
Outcome variables:
The two outcome variables in this study were grouped as
  • Self-reported oral health, with (0) indicative of excellent/very good/good and (1) indicative of fair/poor;
  • Last dental visit, with (0) indicative of less than year ago and (1) one to five years ago/never.
Independent variables:
The independent variables for this study were grouped into three domains: predisposing, enabling, and needs based predictors. Predisposing factors included age, sex, and access to oral health education. Enabling factors included annual income, availability of a regular dentist and medical doctor, having dental insurance, avoidance of dental treatment due to cost, availability of social support, and availability of dental services being sought. Need factors included having clinical dental conditions such as toothaches, temperature sensitivity, bleeding when brushing, plaque status, and decay, as well as satisfaction with the overall appearance of the dentition, self-reported quality of life and general health, the importance of oral health, frequency of tooth brushing, distance to the nearest dental facility, and the reason for the last dental visit.

3.1. Univariate Results

The mean age of the study population was 16.4 (SD = 6.3) years, and 68% of the examined adolescents were female. The majority of the participants walked to school (88%), with only one participant travelling to school by car. Most of the participants’ parents/guardians (83%) reported that they could not afford dental insurance and that a family dentist was not available in their community (92%). Guardians reported that they lived a mean distance of 7 km from a dental facility.
Many of the adolescents reported that they have good to excellent general health (81%) and good to excellent quality of life (84%). Around 55% of the adolescents brushed their teeth twice per day; 37% brushed their teeth only once, in the morning hours. Only 32% of the participants reported consuming fluoridated water; 25% were not aware of the presence of fluoride in their drinking water. The majority (80%) of adolescents were not exposed to oral health education in school or at home (Table 1). Table 2 shows that almost one third (30%) of adolescents reported their oral health as fair or poor.
Table 2 shows that almost one third (30%) of participants reported their oral health as fair or poor. Oral health examination revealed that many of the adolescents had decay in a lower left molar (35%, tooth #36) followed by a lower right molar (30%, tooth #46). More than half of the study population had visible dental plaque.

3.2. Bivariate Analysis

Outcome 1: Self-reported oral health
All the predisposing, enabling, and need factors were investigated to find significant predictors for the two outcome variables. Amongst the predisposing factors, age (p < 0.001) was significantly associated with self-reported oral health. Participants within the age range of 12–18 were more likely to report the health of their mouth as excellent/good than the participants 19 years of age or older. The enabling factors associated with self-reported oral health included having social support (p = 0.02) and access to a dental office (p = 0.05; Table 3). The children of parents/guardians who reported having social support were more likely to rate their oral health as excellent/good. For self-reported need factors, it was observed that having a toothache (p < 0.001), tooth sensitivity (p < 0.001), and bleeding when brushing (p < 0.001) were significantly associated with self-reported oral health. Adolescents with no toothache, tooth sensitivity, and bleeding gum were more likely to rate the health of their mouth as excellent/good than their counterparts. Other need factors related to self-reported oral health include dissatisfaction with appearance of teeth (p < 0.001), general health (p < 0.001), and brushing frequency (p = 0.009). The clinical need factors included decay in teeth #16 (p = 0.002), #26 (p = 0.03), #36 (p = 0.003), and #46 (p = 0.006; Table 4).
Outcome 2: Last dental visit
The predisposing factors positively associated with a dental visit within the year included age (p < 0.001), sex (p = 0.01), and having exposure to oral health education (p < 0.001; Table 3). Adolescents with exposure to some form of oral health education were more likely to visit a dental professional with the last year than the adolescents who did not have such exposure. The enabling factors positively associated with having a dental visit within the last year were: availability of a regular medical doctor (p < 0.001), availability of a regular dentist (p < 0.001), avoiding dental treatment due to cost (p < 0.001), and where dental services were sought (p < 0.001). Adolescents who had access to a regular dentist and a regular medical doctor were more likely to visit a dental professional within the last year. The self-reported need factors of having a toothache (p < 0.001), dissatisfaction with the teeth appearance (p = 0.003), and having excellent/good general health (p = 0.007) were positively associated with the last dental visit. Of the clinical need factors, the presence of dental plaque (p = 0.05) and increased decay in tooth #26 (p = 0.001; Table 4) were associated with a dental visit within the past year.

3.3. Multivariate Analyses

Multivariate logistic regression (forward conditional logistic regression) was adopted to report the adjusted odds ratio and to identify the most important predictors from A&N framework for perceived oral health and last dental visit. Missing data pairwise option assisted in excluding subjects from the analyses with missing variables.
Outcome 1: Self-reported oral health
The A&N factors that best predicted perceived oral health status in adolescents are presented in Table 5. After adjusting for other predisposing, enabling, and need factors, the most important predictors for perceived oral health of adolescents were oral health education and general health. Adolescents were nearly three times more likely to report fair/poor oral health if they had no oral health education, compared to those with oral health education exposure (OR: 2.732; 95% CI: 1.144, 6.521). The odds of reporting fair/poor oral health were three times greater in study participants with self-perceived fair/poor general health in comparison to those with good/very good/excellent general health (OR:3.233; 95% CI: 1.590, 6.575).
Outcome 2: Last dental visit
The A&N factors that best predicted regularity of dental visits among the adolescents are presented in Table 5. After adjusting for other predisposing, enabling, and need factors, it was observed that oral health education, availability of a medical doctor, and increased frequency of brushing were identified as the most important predictors for regularity of dental visits. Adolescents with oral health education were four times (OR:4.559; 95%: 2.052, 10.130) more likely to visit a dentist within the last year in contrast to adolescents with access to no oral health education. In addition, availability of medical doctors within the residing area of the participants increased the odds of visiting a dentist within the last year by seven times, compared to those with no access to a regular medical doctor (OR:7.201; 95% CI: 2.273, 22.811).
Table 1. Descriptive data demographic variables (N = 526).
Table 1. Descriptive data demographic variables (N = 526).
Independent Study Variables *N (%)
Sex (N = 519)
Male164 (31.5)
Female355 (68.4)
Age (N = 523)
12–18468 (89.5)
19+55 (10.5)
Dental Insurance (N = 509)
Yes31 (6.1)
No396 (77.8)
Don’t know82 (16)
Availability of doctor (N = 511)
No469 (91.8)
Yes42 (8.2)
Transportation to school (N = 319)
Family car1 (0.3)
Public transit37 (11.5)
Walk281 (87.5)
Quality of life (N = 518)
Excellent87 (16.8)
Very good116 (22.4)
Good231 (44.6)
Fair75 (14.5)
Poor9 (1.7)
Self-reported general health (N = 519)
Excellent70 (13.5)
Very good120 (23.1)
Good229 (44.1)
Fair83 (16)
Poor17 (3.3)
Self-reported brushing frequency (N = 506)
Never6 (1.2)
Only in the morning189 (37.4)
Only before going to bed2 (0.4)
Both times277 (54.7)
Every time I eat32 (6.3)
Water Fluoridation (N = 515)
No223 (43.3)
Yes162 (31.5)
Don’t know130 (25.2)
Self-reported last Dental Visit (N = 517)
Less than a year60 (11.6)
Between 1–2 years13 (2.5)
Between 2–3 years23 (4.4)
Between 3–4 years13 (2.5)
Between 4–5 years2 (0.4)
More than 5 years43 (8.4)
Never363 (70.2)
Oral health education (N = 518)
No413 (79.7)
Yes105 (20.3)
* Response rate was less than 100% due to the missing responses.
Table 2. Descriptive results of oral health status of adolescents in Lesotho (N = 526).
Table 2. Descriptive results of oral health status of adolescents in Lesotho (N = 526).
Clinical Oral Health StatusN (%) *
DMFT tooth #16 (N = 524)
Sound380 (72.5)
Decay141 (26.9)
Missing3 (0.6)
Filled0 (0)
DMFT tooth #26 (N = 519)
Sound381 (73.4)
Decay132 (25.4)
Missing5 (1.0)
Filled1 (0.2)
DMFT tooth # 36 (N = 519)
Sound330 (63.6)
Decay179 (34.5)
Missing8 (1.5)
Filled2 (0.4)
DMFT tooth # 46 (N = 521)
Sound352 (67.6)
Decay157 (29.8)
Missing10 (1.9)
Filled2 (0.4)
Plaque status (N = 524)
Absent208 (39.7)
Present316 (60.3)
Unhappy with appearance of teeth (N = 523)
No413 (79.0)
Yes110 (21.0)
Self-reported dental treatment needs
Toothache (N = 523)
No412 (78.8)
Yes111 (21.2)
Sensitivity to hot/cold (N = 523)
No275 (52.6)
Yes248 (47.4)
Bleeding when brushing (N = 523)
No314 (60.0)
Yes209 (40.0)
Self-perceived oral health (N = 518)
Excellent59 (11.4)
Very good106 (20.5)
Good197 (38.0)
Fair106 (20.5)
Poor50 (9.7)
* Response rate was less than 100% due to missing responses.
Table 3. Frequency distribution of the Andersen and Newman (A&N) predisposing and enabling factors between self-reported oral health and dental visit.
Table 3. Frequency distribution of the Andersen and Newman (A&N) predisposing and enabling factors between self-reported oral health and dental visit.
Self-Reported Oral HealthDental Service Utilization
All
N (%)
Fair/Poor
N (%)
Excellent/Very Good/Good
N (%)
p-ValueAll
N (%)
Visit within the Last Year
N (%)
Visit more than a Year Ago
N (%)
p-Value
Total518156 (30)362 (70) 516153 (30)363 (70)
Predisposing factors
Age
12–18463 (90)129 (28)334 (72)<0.001462 (90)125 (27)337 (73)<0.001
19+54 (10)27 (50)27 (50)54 (10)28 (52)26 (48)
Gender
Male 162 (32) 53 (33) 109 (67)0.4 162 (32) 61 (37) 102 (63)0.001
Female 352 (69) 102 (29) 250 (71) 352 (69) 92 (26) 258 (74)
Oral health education
No 410 (79) 129 (32) 281 (69)0.3 410 (80) 104 (25) 306 (75)<0.001
Yes 105 (20.3) 27 (26) 78 (74) 105 (20) 49 (48) 53 (52)
Factors that enable dental care
Annual income
<1000 LSL 130 (25) 55 (78) 175 (71)0.3 234 (45) 24 (75) 210 (73)0.7
>1000 LSL 86 (17) 16 (23) 70 (29) 87 (17) 8 (25) 79 (27)
Availability of a regular MD
No 464 (92)138 (30)326 (70)0.9 464 (92) 122 (26) 341 (74)<0.001
Yes 33 (8)13 (31)20 (69) 33 (8) 27 (64) 15 (36)
Availability of a regular dentist
No 502 (97) 152 (30) 350 (70)0.6 502 (97)142 (28)360 (72)<0.001
Yes 14 (3) 3 (21) 11 (79) 13 (3)11 (79)3 (21)
Dental insurance
Yes 31 (7) 11 (36) 20 (65)0.6 31 (7)9 (31)20 (69)1.0
No 394 (93) 121 (31)273 (69) 394 (93)127 (32)266 (68)
Avoiding dental treatment due to cost
Yes 37 (7) 9 (24) 28 (76)0.3 36 (8)21 (58)15 (42)<0.001
No 472 (93) 144 (31) 328 (70) 473 (92)129 (27)344 (73)
Having social support
Yes 201 (39) 1 (1) 200 (82)0.002 276 (53)1 (3)275 (95)0.6
No 45 (9) 29 (41) 16 (7) 45 (9)30 (94)15 (5)
Table 4. Frequency distribution of the Andersen and Newman (A&N) need factors between self-reported oral health and dental visit.
Table 4. Frequency distribution of the Andersen and Newman (A&N) need factors between self-reported oral health and dental visit.
Self-Reported OHDental Service Utilization
All
N (%)
Fair/Poor
N = 156
Excellent/Very Good/Good
N = 362
p-ValueAll
N (%)
Visit within the Last Year
N = 153
Visit more than a Year Ago
N = 363
p-Value
Self-reported needs
Toothache
No 407 (79) 96 (25) 311 (77)<0.001 407 (79) 106 (26) 301 (74)<0.001
Yes 110 (21) 60 (55) 50 (46) 110 (21) 48 (44) 61 (56)
Sensitivity to hold or cold
No 272 (53) 56 (21) 216 (79)<0.001 272 (53) 80 (30) 189 (70)0.1
Yes 245 (47) 100 (47) 145 (59) 245 (47) 74 (30) 173 (70)
Bleeding gums when brushing
No 312 (60) 73 (23) 239 (77)<0.001 312 (60) 100 (32) 210 (68)0.2
Yes 205 (40) 83 (41) 122 (60) 205 (40) 54 (26) 152 (74)
Unhappy with teeth appearance
No 410 (79) 102 (25) 308 (75)<0.001 410 (79) 109 (27) 300 (73)0.003
Yes 107 (21) 54 (51) 53 (50) 107 (21) 45 (42) 62 (58)
Quality of life
Excellent/Very good/Good 430 (84) 107 (25) 308 (74)<0.001 430 (84) 130 (30) 300 (70)0.6
Fair/Poor 83 (16) 48 (58) 35 (42) 83 (16) 22 (27) 60 (73)
Importance of oral health
Extremely important/ important 498 (99) 153 (31) 345 (69)0.8 498 (99) 145 (29) 350 (71)0.03
Not important 5 (1) 1 (20) 4 (40) 5 (1) 4 (80) 1 (20)
Self-reported general health
Excellent/Very good/Good 417 (81)304 (73)112 (27)<0.001 417 (81)326 (70)138 (30)0.007
Fair/Poor 97 (19)57 (59)40 (41) 97 (19)29 (69)13 (31)
Frequency of tooth brushing
Morning 104 (20) 17 (24) 87 (37)0.009 108 (21) 6 (19) 102 (35)0.099
Morning and night 197 (38) 54 (76) 143 (61) 198 (38) 23 (72) 175 (61)
After eating/never 15 (3) 0 15 (6) 26 (5) 3 (9) 23 (8)
Reason for last dental visit 1
Within a year 45 (9) 5 (6.9) 21 (8.6)0.08 (27) 4 (12) 23 (8)0.05
Emergency 119 (23) 57 (79.2) 62 (25.4) (108) 10 (31) 98 (34)
Never 347 (68) 10 (13.9) 161 (66) (186) 18 (56) 168 (58)
Clinical need
Tooth # 16
Sound 375 (73)97 (26)278 (74)0.002 375 (73)106 (28)271 (72)0.3
Decayed 140 (27)56 (40)84 (60) 140 (27)45 (33)92 (67)
Tooth #26
Sound 376 (74)276 (73)100 (27)0.003 376 (74)93 (25)284 (75)0.001
Decayed 131 (26)82 (63)49 (37) 131 (26)52 (40)77 (60)
Tooth # 36
Sound 325 (65)246 (76)79 (24)0.003 325 (65)88 (27)239 (73)0.4
Decayed 178 (35)112 (63)66 (37) 178 (35)54 (31)121 (69)
Tooth #46
Sound 346 (69)259 (75)87 (25)0.006 346 (69)93 (27)256 (73)0.3
Decayed 157 (31)98 (62)59 (38) 157 (31)48 (31)106 (69)
Plaque status
No 137 (26) 34 (48) 103 (42)0.4 140 (27) 9 (28) 131 (45)0.005
Yes 179 (35) 37 (52) 142 (58) 181 (35) 23 (72) 158 (55)
1 Percentage totals may not equal 100 due to rounding error.
Table 5. Multivariate logistic regression depicting predictors from Andersen and Newman framework.
Table 5. Multivariate logistic regression depicting predictors from Andersen and Newman framework.
A&N FactorsBivariate Analysis* Multivariate Analysis
Crude OR (95% CI)p-ValueS.E.Adjusted OR (95% CI)p-ValueS.E.R2
Self-perceived oral health
No oral health education2.414 (1.051, 5.541)0.040.4242.732 (1.144, 6.521)0.020.4440.177
Received oral health education 1
Poor/fair general health2.619 (1.368, 5.014)0.0040.3313.233 (1.590, 6.575)0.0010.362
Good/excellent general health1
Last dental visit
No oral health education4.381 (2.090, 9.183)<0.0010.3784.559 (2.052, 10.130)<0.0010.4070.045
Received oral health education11
Doctor not available 7.962 (2.780, 22.803)<0.0010.5377.201 (2.273, 22.811)0.0010.588
Doctor available 11
Less than optimum brushing frequency1.302 (0.889, 1.905)0.20.1941.631 (1.034, 2.575)0.040.233
Optimum frequency of brushing11
* Forward conditional method adjusted for other predisposing, enabling, and need factors.

4. Discussion

This is the first study to identify the self-reported oral health status and patterns of dental service utilization within the adolescent population in Lesotho. We utilized the A&N model of health service utilization to identify the strongest predictors of self-reported oral health and dental service utilization, as employed in our previous studies [14,15,16].
For predisposing factors, we found that adolescents who reported receiving some oral health education were more likely to have visited a dental professional within the last year, which corroborates the findings from Jessani et al. in 2016 and Jessani et al. in 2019 [14,15]. However, 80% of adolescents had not been exposed to any form of oral health education. This is concerning, as adolescents are in a developmental stage during which they establish lifelong habits, attitudes, and behaviours [19]. Their early knowledge and behavioural habits can substantially shape their long-term habits, including improper oral care with the consequence of increases risk for preventable oral infections including dental decay [15,20]. This was further confirmed in our multivariate analysis that identified a lack of oral health education as a major predictor of both fair/poor self-reported oral health, as well as infrequent dental visits. Therefore, volunteer nursing students were trained to provide oral health education sessions in all the visited schools. These sessions included interactive presentations regarding oral health education including proper brushing and flossing technique and healthy eating habits such as limiting consumption of sugary beverages.
Our study identified several A&N enabling factors that were significantly associated with the two outcome variables, having social support, and reporting excellent/very good/good oral health, which is similar to other studies. It has been shown that having social supports such as transportation, housing, and employment can lead to better oral health and dental service utilization [14]. This social support can result in a better quality of life that can be positively related to a better perception of oral health, as reported in this study. We also found that avoiding dental treatment due to cost was significantly associated with irregular dental visits, hence financial constraints remain the most important barrier preventing access to dental care [21]. Lack of financial affordability and unmet dental treatment needs can lead to poor oral health status [22]. In several low-income countries such as Lesotho, the cost of treating dental caries can cause an extra burden on the healthcare system. Therefore, preventive oral health programs including oral health education may substantially reduce these infections and personal cost associated with the treatment [23]. Having access to a regular medical doctor and a regular dentist were positively related to having had a dental visit within the last year, as was also found by Jessani et al. in 2020 [14]. In fact, our multivariate analysis revealed the lack of availability of medical doctors increased the odds of irregular dental visits by seven times. This indicates that barriers to access to health care are widespread across health disciplines with the challenge of insufficient health care professionals in the fields of medicine and dentistry [24] Medical care in Lesotho is provided at all three levels: national, district, and local health centers, while oral health is not currently provided at the local level due to shortages of professionals and crumbling infrastructure [8].
Our study also showed positive associations between A&N needs factors such as self-reported quality of life and general health with self-reported oral health, as discussed by others [14,16]. Adolescents who reported fair/poor oral health were more likely to also report fair/poor general health and quality of life. A study in Yemen found that people who perceived their general health as very good/excellent were also likely to perceive their oral health as very good/excellent [25]. Our results further indicated that adolescents who reported having toothache, bleeding gums, and were unhappy with the appearance of their teeth were more likely to report their oral health status as fair/poor. Similar results have been reported by David et al. in a 2006 study in Kerala, India, where self-reported oral status was found to be related to appearance of teeth and caries experience [26]. The reason for this finding might be attributed to a lack of education and preventive oral health services [26].
The clinical need factor associated with self-reported oral health status was having dental decay. Not surprisingly, adolescents were more likely to report their oral health status as fair/poor if they had decayed teeth. Tooth decay is one of the most common infections reported globally, which can affect overall well-being and the quality of life. Our study found that 35% of the adolescents had decay in a lower left molar and 30% had decay in a lower right molar. This is a concern, as the average age of our population was 16.4 years, which means their first molars have erupted less than a decade ago. Although these findings are similar to other studies, they are starkly different from countries such as Finland, where the authors found that at age 15, only 5% of participants’ first permanent molars were decayed [27]. In addition, our results showed that more than half of the study population had plaque deposits, and a very slight number were identified with restored teeth. Our results support other findings that indicate that there is a significant proportion of adolescents with unmet oral health needs and improper oral hygiene practices [28]. Such indicators can negatively affect academic performance, social development, and nutritional intake, thus impeding the well-being of adolescents [29]. Adolescents with no dental plaque and less tooth decay were more likely to report regular dental visits, which yet again confirms the association between access to care and better oral health outcomes [30].

5. Conclusions

This is the first descriptive cross-sectional survey and clinical assessment of the oral health of adolescents in Lesotho that identified predisposing factors, enabling factors, and needs predictors. We found several psychosocial factors that correlated with the self-reported oral health status and patterns of dental service utilization in our study population. The literature on oral health promotion strategies is heavily in favour of sustainable, culturally appropriate, and community-based initiatives. Results from this study can be utilized by oral health professionals and policy makers to provide long-term prevention-based dental care to adolescent population in the Kingdom of Lesotho.

6. Limitations

Our results did not come without limitations. The targeted sampling approach resulted in only a small percentage of students from each school being included in the data collection. The surveys were not completed in full by all parents/guardians, and missing data may have skewed the results. Dental decay was not examined on full dentition, which may have biased the implication of the findings. Data collection did not include the DMFS status, and no radiographic examinations were performed to confirm the extent of dental decay, which likely means that decay was underestimated, as radiographs may identify decay that the dentist cannot see on visual inspection. Despite these limitations, this initial study of provides valuable insights into the unmet oral health needs of adolescents in Lesotho.

Supplementary Materials

The following are available online at https://0-www-mdpi-com.brum.beds.ac.uk/2227-9067/8/2/120/s1, Attachment S1: survey questionnaire adapted from the Canadian Health Measure Survey, 2009.

Author Contributions

A.J. is the primary author of this manuscript. His task in this research included writing the research proposal and developing this manuscript (introduction, results, discussion, and conclusion). Statistical analysis and interpretation of results were performed by M.F.A.Q., P.L. and D.M.L., while E.N. and M.B. helped in designing and writing the manuscript. Two undergraduate dental students, A.E.-R. and K.H., also significantly contributed in developing this manuscript. Their tasks mainly included conducting the literature review and have significantly contributed to this manuscript, from presenting ideas to formatting and presentation. Conceptualization: A.J., P.L., E.N. and M.B.; formal analysis: M.F.A.Q., H.J.L. and D.M.L.; funding acquisition: A.J. and M.B.; supervision: A.J.; writing—original draft: A.J., P.L., A.E.-R., K.H., E.N., M.B. and D.M.L.; writing—review and editing: A.J., M.B., D.M.L. and A.E.-R. All authors have read and agreed to the published version of the manuscript.

Funding

This project was funded by Smile Lesotho Foundation.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Ethics Committee of the University of Saskatchewan.

Informed Consent Statement

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

Acknowledgments

We would like to thank the volunteers and Smile Lesotho Team members including: Nicholas Seddon, Lebohang Motaung, Letlotlo Lefoka, Bronwyn Zuck, Karim Ramji, and Tsepiso Makoa for their efforts to carry out this project; Smile Lesotho Foundation for providing the financial support including traveling, accommodation, and oral hygiene supplies for this project; Pulane Lefoka, former Director Centre for Teaching and Learning at the National University of Lesotho, for her tireless efforts to make all the important arrangements to run this project; the Ministry of Health and Ministry of Education and Training for giving us permission to conduct oral examinations in schools; Tsepiso Makoa (Retired Nurse) and Lebohang Motaung (Retired Senior Administrator) for supporting the project and at the same time translating the research instrument into Sesotho (the local language); Maliahelo Qhobela and Isabella Nyangu for supervising the nursing students; nursing students from the Faculty of Health Sciences Nursing Department, National University of Lesotho, for volunteering their time with us. Lastly, we would like to thank the students, their parents, and the principals from all the schools who participated in this project.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Jin, L.J.; Lamster, I.B.; Greenspan, J.S.; Pitts, N.B.; Scully, C.; Warnakulasuriya, S. Global burden of oral diseases: Emerging concepts, management and interplay with systemic health. Oral Dis. 2016, 7, 609–619. [Google Scholar] [CrossRef] [PubMed]
  2. Lisboa, C.M.; de Paula, J.S.; Ambrosano, G.M.; Pereira, A.C.; de Castro Meneghim, M.; Cortellazzi, K.L.; Vazquez, F.L.; Mialhe, F.L. Socioeconomic and family influences on dental treatment needs among Brazilian underprivileged schoolchildren participating in a dental health program. BMC Oral Health 2013, 13, 56. [Google Scholar] [CrossRef] [PubMed]
  3. Petersen, P.E. The World Oral Health Report 2003: Continuous improvement of oral health in the 21st century–the approach of the WHO Global Oral Health Programme. Community Dent. Oral Epidemiol. 2003, 31, 3–24. [Google Scholar] [CrossRef]
  4. DeSa, U.N. World Population Prospects: The 2015 Revision; Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat: New York, NY, USA, 2015. [Google Scholar]
  5. Damane, M.; Sekantsi, L.P. The sources of unemployment in Lesotho. Mod. Econ. 2018, 9, 937–965. [Google Scholar] [CrossRef]
  6. Crush, J.; Frayne, B. The Invisible Crisis: Urban Food Security in Southern Africa; Queens University: Kingston, ON, Canada, 2010; pp. 1–48. [Google Scholar]
  7. World Bank. Available online: http://www.worldbank.org/en/country/lesotho/overview (accessed on 17 April 2020).
  8. Government of Lesotho. National Health Strategic Plan; Government of Lesotho: Maseru, Lesotho, 2016. [Google Scholar]
  9. Umunna, A.; James, S.; Ricks, E. The experiences of dentists in the management planning of oral health services in Lesotho, Africa. Rural Remote Health 2009, 9, 1. [Google Scholar]
  10. Government of Lesotho. Lesotho Health Policy. Gov. Lesotho 2011, 4, 1–65. [Google Scholar]
  11. Keating, e.m.; Sanders, J.; Ngo, K.; Mohapi, E.Q.; Mandalakas, A.M. Development of a Tool for Health Screening and Assessment in Orphanages in Lesotho. Am. J. Trop. Med. Hyg. 2019, 100, 1290–1293. [Google Scholar] [CrossRef] [PubMed]
  12. Andersen, R.; Newman, J.F. Societal and individual determinants of medical care utilization in the United States. Milbank Q. 2005, 83, 95–124. [Google Scholar] [CrossRef]
  13. Baker, S.R. Applying Andersen’s behavioural model to oral health: What are the contextual factors shaping perceived oral health outcomes? Commun. Dent. Oral Epidemiol. 2009, 37, 485–494. [Google Scholar] [CrossRef]
  14. Jessani, A.; Aleksejuniene, J.; Donnelly, L.; Craig Phillips, J.; Nicolau, B.; Brondani, M. Dental care utilization: Patterns and predictors in persons living with HIV in British Columbia, Canada. J. Public Health Dent. 2019, 79, 124–136. [Google Scholar] [CrossRef]
  15. Jessani, A.; Laronde, D.; Mathu-Muju, K.; Brondani, M.A. Self-perceived oral health and use of dental services by pregnant women in surrey, British Columbia. J. Can. Dent. Assoc. 2016, 82, 28. [Google Scholar]
  16. Jessani, A.; Aleksejuniene, J.; Donnelly, L.; Phillips, J.C.; Nicolau, B.; Brondani, M. What are the self-reported unmet dental treatment needs of people living with HIV in British Columbia? A case of minority subpopulation in Canada. J. Public Health Dent. 2020, 80, 114–122. [Google Scholar] [CrossRef]
  17. Household Questionnaire. World Health Survey. Available online: https://www.who.int/healthinfo/survey/whslonghouseholdlow.pdf (accessed on 31 May 2020).
  18. Canadian Health Measures Survey. Canadian Health Measures Survey Ottawa. Health Can. 2011, 21, 7.
  19. WHO. Oral Health Promotion through Schools; WHO Information Series on School Health. Document 11; World Health Organization: Geneva, Switzerland, 2003; In press. [Google Scholar]
  20. Folayan, M.O.; Kolawole, K.A.; Oyedele, T.; Chukumah, N.M.; Onyejaka, N.; Agbaje, H.; Oziegbe, E.O.; Osho, O.V. Association between knowledge of caries preventive practices, preventive oral health habits of parents and children and caries experience in children resident in sub-urban Nigeria. BMC Oral Health 2014, 14, 156. [Google Scholar] [CrossRef] [PubMed]
  21. Brondani, M.; Wallace, B.; Donnelly, L. Dental insurance and treatment patterns—implications to oral health outcomes. J. Can. Dent. Assoc. 2019, 85, 10. [Google Scholar]
  22. Jürgensen, N.; Petersen, P.E. Promoting oral health of children through schools–Results from a WHO global survey 2012. Commun. Dent. Health 2013, 30, 204–218. [Google Scholar]
  23. Listl, S.; Galloway, J.; Mossey, P.A.; Marcenes, W. Global economic impact of dental diseases. J. Dent. Res. 2015, 94, 1355–1361. [Google Scholar] [CrossRef]
  24. Downs, S.; Montagu, D.; Da Rita, P.; Brashers, E.; Feachem, R.G. Health System Innovation in Lesotho: Design and Early Operations of the Maseru Public–Private Integrated Partnership. Healthcare Public-Private Partnerships Series, no. 1. San Francisco: The Global Health Group; Global Health Sciences, University of California: San Francisco, CA, USA, 2013. [Google Scholar]
  25. Alhajj, M.N.; Halboub, E.; Amran, A.G.; Alkheraif, A.A.; Al-Sanabani, F.A.; Al-Makramani, B.M.; Al-Basmi, A.A.; Al-Ghabri, F.A. Link between perceived oral and general health status among Yemeni adult dental patients. BMC Oral Health 2019, 19, 93. [Google Scholar] [CrossRef]
  26. David, J.; Åstrøm, A.N.; Wang, N.J. Prevalence and correlates of self-reported state of teeth among schoolchildren in Kerala, India. BMC Oral Health 2006, 6, 10. [Google Scholar] [CrossRef]
  27. Vehkalahti, M.M.; Solavaara, L.; Rytömaa, I. An eight-year follow-up of the occlusal surfaces of first permanent molars. J. Dent. Res. 1991, 70, 1064–1067. [Google Scholar] [CrossRef]
  28. Adekoya–Sofowora, C.A.; Nasir, W.O.; Oginni, A.O.; Taiwo, M. Dental caries in 12-year-old suburban Nigerian school children. Afr. Health Sci. 2006, 6, 145–150. [Google Scholar] [PubMed]
  29. Seirawan, H.; Faust, S.; Mulligan, R. The impact of oral health on the academic performance of disadvantaged children. Am. J. Public Health 2012, 102, 1729–1734. [Google Scholar] [CrossRef] [PubMed]
  30. Greenberg, B.L.; Glick, M. Assessing systemic disease risk in a dental setting: A public health perspective. Dent. Clin. 2012, 56, 863–874. [Google Scholar]
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