Journal of Preventive Medicine and Public Health

Original Articles

Predictors of Quality of Life Among Older Residents in Rural and Urban Areas in Indonesia: An Approach Using the International Classification of Functioning, Disability, and Health: Dwi Rosella Komalasari, Chutima Jalayondeja, Wattana Jalayondeja, Yusuf Alam Romadon; J Prev Med Public Health. 2025;58(2):199-207. Published online November 29, 2024; DOI: https://doi.org/10.3961/jpmph.24.423

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Objectives
The International Classification of Functioning, Disability, and Health (ICF) model provides a comprehensive framework for understanding health and quality of life (QoL) in older adults in both rural and urban settings, each presenting unique advantages and challenges. This study aimed to explore the relationship between factors based on the ICF model and QoL among older residents of these areas.
Methods
A cross-sectional study was conducted, involving 286 older adults aged 60 years or older from rural and urban areas of Surakarta, Central Java, Indonesia. The WHOQoL-BREF was utilized to assess QoL. The co-factors included personal factors, impairments, and activity limitations.
Results
Multiple linear regression analysis indicated that cardiovascular endurance was the strongest significant factor associated with QoL in rural areas (B=0.027, standard error [SE]=0.013, p=0.050). In urban areas, gender emerged as the most significant factor influencing QoL (B=-13.447, SE=2.360, p<0.001), followed by hemoglobin level (B=-1.842, SE=0.744, p=0.015), age (B=-0.822, SE=0.217, p<0.001), and cognitive function (B=0.396, SE=0.162, p=0.016).
Conclusions
Efforts to improve QoL for older adults in rural areas should focus on enhance physical performance through exercise. In urban areas, the maintenance of QoL is influenced by personal factors. It is crucial to address physical performance through exercise to enhance QoL in rural settings. Meanwhile, focusing on mental health, financial security, and social connections is recommended to improve QoL for older adults in urban areas.

Summary

Key Message
The ICF model offers a comprehensive framework to assess health and QoL in older adults living in rural and urban areas. Both areas highlight the distinct advantages and challenges unique. Cardiovascular endurance is a vital factor in determining the QoL for older adults in rural areas, while hemoglobin levels, age, and cognition shape the well-being of those in urban environments.

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Determinants of Quality of Life among Older Adults Living in Agricultural Communities in Nakhon Si Thammarat, Thailand
Yodfah Ratmanee
Community and Social Development Journal.2026; 27(1): 142. CrossRef

Development of Machine Learning Models to Categorize Life Satisfaction in Older Adults in Korea: Suyeong Bae, Mi Jung Lee, Ickpyo Hong; J Prev Med Public Health. 2025;58(2):127-135. Published online October 23, 2024; DOI: https://doi.org/10.3961/jpmph.24.324

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Abstract Summary PDF

Objectives
This study aimed to identify factors associated with life satisfaction by developing machine learning (ML) models to predict life satisfaction in older adults living alone.
Methods
Data were extracted from 3112 older adults participating in the 2020 Korea Senior Survey. We employed 5 ML models to classify the life satisfaction of older adults living alone: logistic Lasso regression, decision tree-based classification and regression tree (CART), C5.0, random forest, and extreme gradient boost (XGBoost). The variables used as predictors included demographics, health status, functional abilities, environmental factors, and activity participation. The performance of these ML models was evaluated based on accuracy, precision, recall, F1-score, and area under the curve (AUC). Additionally, we assessed the significance of variable importance as indicated by the final classification models.
Results
Out of the 1411 older adults living alone, 45.3% expressed satisfaction with their lives. The XGBoost model surpassed the performance of other models, achieving an F1-score of 0.72 and an AUC of 0.75. According to the XGBoost model, the five most important variables influencing life satisfaction were overall community satisfaction, self-rated health, opportunities to interact with neighbors, proximity to a child, and satisfaction with residence.
Conclusions
Overall satisfaction with the community environment emerged as the most significant predictor of life satisfaction among older adults living alone. These findings indicate that enhancing the supportiveness of the community environment could improve life satisfaction for this demographic.

Summary

Korean summary
본 연구는 2020년 노인실태조사에 참여한 3,112명의 독거노인 데이터를 활용하여 이들의 삶의 만족도를 분류하는 머신러닝 모델을 개발하였다. 아울러, 해당 모델을 통해 독거노인의 삶의 만족도 분류에 영향을 미치는 주요 변수를 도출하였다. 본 연구는 독거노인의 삶의 만족도 향상을 위해 고려해야 할 핵심 요인들을 제시한다는 점에서 의의가 있다.

Key Message
This study developed a machine learning model to classify life satisfaction among 3,112 older adults living alone, based on data from the 2020 Korea Senior Survey. Furthermore, the study identified key variables that contribute to the classification of life satisfaction in this population. These findings provide insights into important factors that should be considered to enhance the life satisfaction of older adults living alone.

Citations

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Prevalence of depression and its associated factors among Korean women: A cross-sectional study in Seoul
Thi Thanh Lan Nguyen, Van Cuong Nguyen
Archives of Psychiatric Nursing.2025; 57: 151928. CrossRef
Designing a Social Prescribing Model to Enhance the Holistic Well-Being of Older Adults in Indonesia
Sukri Palutturi , St. Rosmanelly, Mutia Nur Rahmah , Eun Woo Nam, Mi-hwa Kang
Salud, Ciencia y Tecnología.2025; 5: 2235. CrossRef

Identifying Adverse Events Using International Classification of Diseases, Tenth Revision Y Codes in Korea: A Cross-sectional Study: Minsu Ock, Hwa Jung Kim, Bomin Jeon, Ye-Jee Kim, Hyun Mi Ryu, Moo-Song Lee; J Prev Med Public Health. 2018;51(1):15-22. Published online January 4, 2018; DOI: https://doi.org/10.3961/jpmph.17.118

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Abstract PDF Supplementary Material

Objectives
The use of administrative data is an affordable alternative to conducting a difficult large-scale medical-record review to estimate the scale of adverse events. We identified adverse events from 2002 to 2013 on the national level in Korea, using International Classification of Diseases, tenth revision (ICD-10) Y codes.
Methods
We used data from the National Health Insurance Service-National Sample Cohort (NHIS-NSC). We relied on medical treatment databases to extract information on ICD-10 Y codes from each participant in the NHIS-NSC. We classified adverse events in the ICD-10 Y codes into 6 types: those related to drugs, transfusions, and fluids; those related to vaccines and immunoglobulin; those related to surgery and procedures; those related to infections; those related to devices; and others.
Results
Over 12 years, a total of 20 817 adverse events were identified using ICD-10 Y codes, and the estimated total adverse event rate was 0.20%. Between 2002 and 2013, the total number of such events increased by 131.3%, from 1366 in 2002 to 3159 in 2013. The total rate increased by 103.9%, from 0.17% in 2002 to 0.35% in 2013. Events related to drugs, transfusions, and fluids were the most common (19 446, 93.4%), followed by those related to surgery and procedures (1209, 5.8%) and those related to vaccines and immunoglobulin (72, 0.3%).
Conclusions
Based on a comparison with the results of other studies, the total adverse event rate in this study was significantly underestimated. Improving coding practices for ICD-10 Y codes is necessary to precisely monitor the scale of adverse events in Korea.

Summary

Citations

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Retrospective analysis of preventable procedural adverse events (ICD-10 Y62–Y69) in the TriNetX network: a multiregional study before, during and after the COVID-19 pandemic
Rosario Caruso, Marco Di Muzio, Emanuele Di Simone, Sara Dionisi, Arianna Magon, Gianluca Conte, Alessandro Stievano, Emanuele Girani, Sara Boveri, Pier Mario Perrone, Silvana Castaldi, Lorenzo Menicanti, Mary Dolansky
BMJ Quality & Safety.2025; : bmjqs-2025-019077. CrossRef
Accuracy assessment of patient safety incident (PSI) codes and present-on-admission (POA) indicators: a cross-sectional analysis using the Patient Safety Incidents Inquiry (PSII) in Korea
Jeehee Pyo, Eun Young Choi, Seung Gyeong Jang, Won Lee, Minsu Ock
BMC Health Services Research.2024;[Epub] CrossRef
Assessing the Accuracy of Diagnosis Codes and Their Present on Admission Indicator for the Occurrence of Pressure Ulcers
Eun Young Choi, Jaeun Jaeun, Hyeran Jeong, Jeong Pyo, Minsu Ock
Quality Improvement in Health Care.2024; 30(2): 3. CrossRef
Development of the Korean Patient Safety Incidents Code Classification System
Eun Young Choi, Jeehee Pyo, Young-Kwon Park, Minsu Ock, Sukyeong Kim
Journal of Patient Safety.2023; 19(1): 8. CrossRef
Use of a hospital administrative database to identify and characterize community-acquired, hospital-acquired and drug-induced acute kidney injury
Amayelle Rey, Valérie Gras-Champel, Thibaut Balcaen, Gabriel Choukroun, Kamel Masmoudi, Sophie Liabeuf
Journal of Nephrology.2022; 35(3): 955. CrossRef
Evaluation of Factors Associated with Adverse Drug Events in South Korea Using a Population-Based Database
Eunkyeong Choi, Siin Kim, Hae Sun Suh
Journal of Clinical Medicine.2022; 11(21): 6248. CrossRef
Feasibility of Capturing Adverse Events From Insurance Claims Data Using International Classification of Diseases, Tenth Revision, Codes Coupled to Present on Admission Indicators
Juyoung Kim, Eun Young Choi, Won Lee, Hae Mi Oh, Jeehee Pyo, Minsu Ock, So Yoon Kim, Sang-il Lee
Journal of Patient Safety.2022; 18(5): 404. CrossRef
The Korea National Patient Safety Incidents Inquiry Survey: Characteristics of Adverse Events Identified Through Medical Records Review in Regional Public Hospitals
Min Ji Kim, Hee Jung Seo, Hong Mo Koo, Minsu Ock, Jee-In Hwang, Sang-Il Lee
Journal of Patient Safety.2022; 18(5): 382. CrossRef
Use of ICD‐10‐CM T codes in hospital claims data to identify adverse drug events in Taiwan
Ya‐Fang Cheng, Chi‐Yuan Cheng, Szu‐Hsuan Wang, Yu‐Ting Lin, Tzu‐Cheng Tsai
Journal of Clinical Pharmacy and Therapeutics.2021; 46(2): 476. CrossRef
Perceptions of Hospital Health Information Managers Regarding Present on Admission Indicators in Korea: A Qualitative Study
Jee-Hee Pyo, Eun-Young Choi, Hae-Mi Oh, Won Lee, Ju-Young Kim, Min-Su Ock, So-Yoon Kim, Sang-Il Lee
Quality Improvement in Health Care.2020; 26(1): 23. CrossRef
Variation between hospitals and reviewers in detection of adverse events identified through medical record review in Korea
Sukyeong Kim, Ho Gyun Shin, A E Jeong Jo, Ari Min, Minsu Ock, Jee-In Hwang, Youngjin Jeong, Moon Sung Park, Jong Bouk Lee, Tae I K Chang, Eunhyang Song, Heungseon Kim, Sang-Il Lee
International Journal for Quality in Health Care.2020; 32(8): 495. CrossRef

The Development of Classification System of Medical Procedures in Korea.: Hyoung Wook Park, Myongsei Sohn, Han Joong Kim, Eun Cheol Park, Seung Hum Yu; Korean J Prev Med. 1996;29(4):877-897.

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Abstract PDF: In recent years, the Korean Medical Association has undertaken the feat of establishing the Korean Standard Terminology of Medical Procedures with the dedicated help of 32 medical academic societies. However, because the project is being conducted by several different circles, it has yet to see a clear system of classification. This thesis, therefore, proposes the three principles of scientific properties, usefulness and ideology as the basis for classification system and has developed the Classification System of Medical Procedures in Korea upon their foundation. The methodology and organization of this thesis as follows. First, by adopting scientific classification system of Feinstein(1988), an analysis of the classification systems of the medical procedures in the United States, Japan, Taiwan, Who Was carried out to reveal the framework and the basic principles in each system. Second, the direction of classification system has been constructed by applying the normative principle of medical field in order to show the future direction of the medical field and realize its ideology. Third, a finalized framework for the classification system will be presented as based on the direction of classification system. Of the three basis principles mentioned above, the analysis on the principles of usefulness was left out of this thesis due to the difficulty of establishing specific standards of analysis. The results of the study are as follows. The overall structure of the thesis is aimed at showing the 'Prevention-Therapy-Rehabilitation' quality of comprehensive health care and consists of six chapters; I. Prevention and Health Promotion. II. Evaluation and Management . III. Diagnostic Procedures. IV. Endoscopy. V. Therapeutic Procedures. VI. Rehabilitation. Chapter three Diagnostic Procedures is divided into four parts; Functional Diagnosis, Visual Diagnosis, Pathological Diagnosis, Biopsy and Sampling. Chapter five Therapeutic Procedures is divided into Psychiatry, Non-Invasive Therapy, Invasive Therapy, Anaesthesia and Radiation Oncology. Of these sub-divisions, Functional Diagnosis, Biopsy and Sampling, Endoscopy and Invasive Therapy employs the anatomical system of classification. On the other hand, Visual Diagnosis, Pathological Diagnosis, Anesthesia and Diagnostic Radiology, namely those divisions in which there is little or no overlapping in services with other divisions, used the classification system of its own division. The classification system introduced in this thesis can be further supplemented through the use of the cluster analysis by incorporating the advice and assistance of other specialists.; Summary

Development And Evaluation Of Korean Diagnosis Related Groups: Medical Service Utilization Of Inpatients.: Young Soo Shin, Young Seong Lee, Ha Young Park, Yong Kwon Yeom; Korean J Prev Med. 1993;26(2):293-309.

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Abstract PDF: With expanded and extended coverage of the national medical insurance and fast growing health care expenditures, appropriateness of health service utilization and quality of care are concerns of both health care providers and insurers as well as patients. An accurate patient classification system is a basic tool for effective health care policies and efficient health services management. A classification system applicable to Korean medical information-Korean Diagnosis Related Groups (K-DRGs)-was developed based on the U. S. Refined DRGs, and the performance of the developed system was assessed in this study. In the process of the development, first the Korean coding systems for diagnoses and procedures were converted to the systems used in the definition of the U. S. Refined DRGs using the mapping tables formulated by physician panels. Then physician panels reviewed the group definition, and identified medical practice patterns different in two countries. The definition was modified for the difference in K-DRGs. The process resulted in 1,199 groups in the system. Several groups in Refined DRGs could not be differentiated in K-DRGs due to insufficient medical information, and several groups could not be defined due to procedures which were not practiced in Korea. However, the classification structure of Refined DRGs was retained in K-DRGs. The developed system was evaluated for its performance in explaining variations in resource use as measured by charges and length of stay(LOS), for both all and non-extreme discharges. The data base used in this evaluation included 373,322 discharges which was a random sample of discharges reviewed ad payed by the medical insurance during the five-month period from September 1990. The proportion of variance in resource use which was reduced by classifying patients into K-DRGs-r-square-was comparable to the performance of the U. S. Refined DRGs: .39 for charges and .25 for LOS for all discharges, and .53 for charges and .31 for LOS for non-extreme discharges. Another measure analyzed to assess the performance was the coefficient of variation of charges within individual K-DRGs. A total of 966 K-DRGs (87.7%) showed a coefficient below 100%, and the highest coefficient among K-DRGs with more than 30 discharges was 159%.; Summary

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