Special Issue "Quantitative Analysis Using Public Healthcare Data"

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Public Health Statistics and Risk Assessment".

Deadline for manuscript submissions: 31 December 2021.

Special Issue Editors

Dr. Changhee Kim
E-Mail Website
Guest Editor
Prof. Robert D. Weaver
E-Mail Website
Guest Editor
The Pennsylvania State University, University Park, Pennsylvania, USA
Interests: regional and Environmental economics
Prof. Taeho Kim
E-Mail Website
Guest Editor
Incheon National University, Incheon, South Korea
Interests: linear programming; optimization

Special Issue Information

Dear Colleagues,

Quantitative analysis serves to support a decision-making system based on objective data. Thus, quantitative analysis has become an important analytical technique for business and finance. Statistical methodologies or mathematical modeling techniques for utilizing these objective data are also required in the healthcare industry. Nevertheless, few related issues have been addressed in the recent Special Issues in the International Journal of Environmental Research and Public Health. For these reasons, I invite high-quality papers on data analysis and performance analysis using healthcare data for consideration for publication in the International Journal of Environmental Research and Public Health. The scope of the International Journal of Environmental Research and Public Health covers all topics related to all aspects of public healthcare research. Thus, in this Special Issue, I invite articles focused on research regarding the hospital, drug, and allied health care firms. The aim of this Special Issue is to publish state-of-the-art articles spanning all areas of analytical, theoretical and empirical articles related to quantitative analysis using public healthcare data. The Special Issue will accept papers addressing a wide spectrum of topics following but not restricted to: (1) benchmarking analysis for the healthcare industry; (2) optimization model for the healthcare supply chain; (3) productivity or efficiency estimation using public healthcare data; (4) scheduling optimization for allied healthcare firms; (5) innovation research for the healthcare industry; and (6) data analysis using public health data

Dr. Changhee Kim
Dr. Robert D. Weaver
Prof. Taeho Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantitative analysis
  • healthcare data
  • healthcare firms
  • healthcare industry

Published Papers (4 papers)

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Research

Article
Association of Family History with the Development of Breast Cancer: A Cohort Study of 129,374 Women in KoGES Data
Int. J. Environ. Res. Public Health 2021, 18(12), 6409; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18126409 - 13 Jun 2021
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Abstract
Background: Breast cancer is the most common cancer among women. The Korean Genome and Epidemiology Study (KoGES) is a large cohort study that is available to the public. Using this large cohort study, we aimed to unravel the relationship between breast cancer development [...] Read more.
Background: Breast cancer is the most common cancer among women. The Korean Genome and Epidemiology Study (KoGES) is a large cohort study that is available to the public. Using this large cohort study, we aimed to unravel the relationship between breast cancer development and a family history of breast cancer in Korea. Methods: This cohort study relied on data from the KoGES from 2001 through 2013. A total of 211,725 participants were screened. Of these, 129,374 women were evaluated. They were divided into two groups, including participants with and without breast cancer. A logistic regression model was used to retrospectively analyze the odds ratio of breast cancer history in families of women with and without breast cancer. Results: Of 129,374 women, 981 had breast cancer. The breast cancer group had more mothers and siblings with histories of breast cancer (p < 0.001). A history of breast cancer in the participant’s mother resulted in an odds ratio of 3.12 (1.75–5.59), and a history of breast cancer in the participant’s sibling resulted in an odds ratio of 2.63 (1.85–3.74). There was no interaction between the history of maternal breast cancer and the history of sibling breast cancer. Based on the subgroup analysis, family history was a stronger factor in premenopausal women than in menopausal and postmenopausal women. Conclusions: A family history of breast cancer is a significant risk factor for breast cancer in Korea. Premenopausal women with a maternal history of breast cancer are of particular concern. Intensive screening and risk-reducing strategies should be considered for this vulnerable subpopulation. Full article
(This article belongs to the Special Issue Quantitative Analysis Using Public Healthcare Data)
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Article
The Perception of Occupational Safety and Health (OSH) Regulation and Innovation Efficiency in the Construction Industry: Evidence from South Korea
Int. J. Environ. Res. Public Health 2021, 18(5), 2334; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph18052334 - 27 Feb 2021
Viewed by 639
Abstract
Due to safety issues in the construction industry, interest in research on occupational safety and health (OSH) regulations remains high. Previous studies indicated that OSH regulations not only affect performance in and of themselves, but also indirectly by increasing awareness of such regulations. [...] Read more.
Due to safety issues in the construction industry, interest in research on occupational safety and health (OSH) regulations remains high. Previous studies indicated that OSH regulations not only affect performance in and of themselves, but also indirectly by increasing awareness of such regulations. Studies also demonstrated that OSH regulation can affect innovation and corporate safety. However, the effect of OSH regulation on innovation remains unclear, as the relationship between the perception of OSH regulation and innovation is not fully understood. This study measures the innovation efficiency of companies in the Korean construction industry using data envelopment analysis (DEA), and investigates the relationship between innovation efficiency and companies’ perceptions of OSH regulations. Results indicate that companies that positively recognize OSH regulations tend to be more innovative than those that do not. This study also validates differences in innovation efficiency depending on the perception of OSH regulations by bootstrap DEA. The results of this study suggest appropriate strategies to promote innovation in the construction industry from the perspectives of both government and practitioners in firms. Full article
(This article belongs to the Special Issue Quantitative Analysis Using Public Healthcare Data)
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Article
The Mediating Effect of Childcare Teachers’ Resilience on the Relationship between Social Support in the Workplace and Their Self-Care
Int. J. Environ. Res. Public Health 2020, 17(22), 8513; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17228513 - 17 Nov 2020
Viewed by 618
Abstract
(1) Background: The purpose of this study is to examine the relationship between social support in the workplace for childcare teachers, resilience, and self-care. This study explores the inner mechanism that helps to strengthen self-care of childcare teachers, which enables teachers to provide [...] Read more.
(1) Background: The purpose of this study is to examine the relationship between social support in the workplace for childcare teachers, resilience, and self-care. This study explores the inner mechanism that helps to strengthen self-care of childcare teachers, which enables teachers to provide quality care to children and promote their own wellbeing. (2) Methods: The survey was conducted from September to October 2018 for childcare teachers in Seoul and Gyeonggi Province using convenience sampling. Out of 550 questionnaires, 491 were returned, with 466 used for the analysis, excluding those with incomplete responses. The collected data were analyzed using descriptive statistics, correlation analysis, and mediation analysis. (3) Results: There were significant correlations between all variables. The mediation analysis showed a complete mediation of resilience. (4) Conclusion: Childcare teachers first have to take good care of themselves in order to perform well as a childcare professional. Educational materials and counseling programs tailored for childcare teachers need to be developed for better self-care and building greater resilience. Materials for directors of daycare centers, as well as teachers stressing the importance of social support for each other, will help childcare teachers’ effective functioning in their professional and personal life. Prevention and intervention programs for self-care will eventually help lower the costs of healthcare in society. Full article
(This article belongs to the Special Issue Quantitative Analysis Using Public Healthcare Data)
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Article
Quantification of Similarity Relationships According to Parameters of Day Surgery System
Int. J. Environ. Res. Public Health 2019, 16(24), 5048; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph16245048 - 11 Dec 2019
Viewed by 923
Abstract
Performing day surgery should minimise a number of hospitalisation cases, but its use is determined by many factors. It takes advantage of the latest advances in surgical care, enabling better use of highly costly specialised operating room equipment. This analysis of the day [...] Read more.
Performing day surgery should minimise a number of hospitalisation cases, but its use is determined by many factors. It takes advantage of the latest advances in surgical care, enabling better use of highly costly specialised operating room equipment. This analysis of the day surgery system of the Slovak Republic stands on an examination of the five specialised fields—surgery, gynaecology, ophthalmology, otorhinolaryngology, and urology. The explored period covers the years 2009 to 2017. The whole analysis is divided into the two sections—the youth category and for the adult category. For each case, a hospitalisation ratio is computed. A map visualisation supports the analysis outcome. A quantification of the similarity relationships between the regions is done according to a Euclidean distance approach and it is illustrated through the heat map. The centremost region is the Žilina Region with distance at a level of 1.9821, meaning that it performs as the most similar region to a development of a hospitalisation ratio in the whole Slovak Republic regarding all the examined aspects. The findings introduce an important platform for a creation of regional and national health plans in the area of healthcare provision for the population of the country. Full article
(This article belongs to the Special Issue Quantitative Analysis Using Public Healthcare Data)
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