Journal of Preventive Medicine and Public Health

Original Article

Changes in the Hospital Standardized Mortality Ratio Before and During the COVID-19 Pandemic: A Disaggregated Analysis by Region and Hospital Type in Korea: EunKyo Kang, Won Mo Jang, Min Sun Shin, Hyejin Lee, Jin Yong Lee; J Prev Med Public Health. 2023;56(2):180-189. Published online March 20, 2023; DOI: https://doi.org/10.3961/jpmph.22.479

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Abstract Summary PDF: Objectives
The coronavirus disease 2019 (COVID-19) pandemic has led to a global shortage of medical resources; therefore, we investigated whether COVID-19 impacted the quality of non-COVID-19 hospital care in Korea by comparing hospital standardized mortality rates (HSMRs) before and during the pandemic.
Methods
This retrospective cohort study analyzed Korean National Health Insurance discharge claim data obtained from January to June in 2017, 2018, 2019, and 2020. Patients’ in-hospital deaths were classified according to the most responsible diagnosis categories. The HSMR is calculated as the ratio of expected deaths to actual deaths. The time trend in the overall HSMR was analyzed by region and hospital type.
Results
The final analysis included 2 252 824 patients. In 2020, the HSMR increased nationwide (HSMR, 99.3; 95% confidence interval [CI], 97.7 to 101.0) in comparison to 2019 (HSMR, 97.3; 95% CI, 95.8 to 98.8). In the COVID-19 pandemic zone, the HSMR increased significantly in 2020 (HSMR, 112.7; 95% CI, 107.0 to 118.7) compared to 2019 (HSMR, 101.7; 95% CI, 96.9 to 106.6). The HSMR in all general hospitals increased significantly in 2020 (HSMR, 106.4; 95% CI, 104.3 to 108.5) compared to 2019 (HSMR, 100.3; 95% CI, 98.4 to 102.2). Hospitals participating in the COVID-19 response had a lower HSMR (HSMR, 95.6; 95% CI, 93.9 to 97.4) than hospitals not participating in the COVID-19 response (HSMR, 124.3; 95% CI, 119.3 to 129.4).
Conclusions
This study suggests that the COVID-19 pandemic may have negatively impacted the quality of care in hospitals, especially general hospitals with relatively few beds. In light of the COVID-19 pandemic, it is necessary to prevent excessive workloads in hospitals and to properly employ and coordinate the workforce.; Summary

Korean summary
코로나19 대유행 지역은 비감염 지역과 달리 2019년에 비해 2020년에 HSMR이 크게 증가했고, 상대적으로 병상 수가 적은 종합병원에서 HSMR이 증가했다. 코로나19 대응에 참여하는 병원은 병원 규모와 관계없이 HSMR이 낮은 경향을 보였다. 감염병 유행 시 병원의 과도한 업무량이 부여되지 않게하고 인력을 적절하게 고용하여 조정하는 것이 필요하다.

Special Article

Strategies for Appropriate Patient-centered Care to Decrease the Nationwide Cost of Cancers in Korea: Jong-Myon Bae; J Prev Med Public Health. 2017;50(4):217-227. Published online June 16, 2017; DOI: https://doi.org/10.3961/jpmph.17.069

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In terms of years of life lost to premature mortality, cancer imposes the highest burden in Korea. In order to reduce the burden of cancer, the Korean government has implemented cancer control programs aiming to reduce cancer incidence, to increase survival rates, and to decrease cancer mortality. However, these programs may paradoxically increase the cost burden. For examples, a cancer screening program for early detection could bring about over-diagnosis and over-treatment, and supplying medical services in a paternalistic manner could lead to defensive medicine or futile care. As a practical measure to reduce the cost burden of cancer, appropriate cancer care should be established. Ensuring appropriateness requires patient-doctor communication to ensure that utility values are shared and that autonomous decisions are made regarding medical services. Thus, strategies for reducing the cost burden of cancer through ensuring appropriate patient-centered care include introducing value-based medicine, conducting cost-utility studies, and developing patient decision aids.

Summary

Citations

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A Systematic Review of Economic Evaluation of Thyroid Cancer
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International Journal of Thyroidology.2022; 15(2): 74. CrossRef
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Original Articles

Variations in the Hospital Standardized Mortality Ratios in Korea: Eun-Jung Lee, Soo-Hee Hwang, Jung-A Lee, Yoon Kim; J Prev Med Public Health. 2014;47(4):206-215. Published online July 31, 2014; DOI: https://doi.org/10.3961/jpmph.2014.47.4.206

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Abstract PDF

Objectives
The hospital standardized mortality ratio (HSMR) has been widely used because it allows for robust risk adjustment using administrative data and is important for improving the quality of patient care.
Methods
All inpatients discharged from hospitals with more than 700 beds (66 hospitals) in 2008 were eligible for inclusion. Using the claims data, 29 most responsible diagnosis (MRDx), accounting for 80% of all inpatient deaths among these hospitals, were identified, and inpatients with those MRDx were selected. The final study population included 703 571 inpatients including 27 718 (3.9% of all inpatients) in-hospital deaths. Using logistic regression, risk-adjusted models for predicting in-hospital mortality were created for each MRDx. The HSMR of individual hospitals was calculated for each MRDx using the model coefficients. The models included age, gender, income level, urgency of admission, diagnosis codes, disease-specific risk factors, and comorbidities. The Elixhauser comorbidity index was used to adjust for comorbidities.
Results
For 26 out of 29 MRDx, the c-statistics of these mortality prediction models were higher than 0.8 indicating excellent discriminative power. The HSMR greatly varied across hospitals and disease groups. The academic status of the hospital was the only factor significantly associated with the HSMR.
Conclusions
We found a large variation in HSMR among hospitals; therefore, efforts to reduce these variations including continuous monitoring and regular disclosure of the HSMR are required.

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Improving the Performance of Risk-adjusted Mortality Modeling for Colorectal Cancer Surgery by Combining Claims Data and Clinical Data: Won Mo Jang, Jae-Hyun Park, Jong-Hyock Park, Jae Hwan Oh, Yoon Kim; J Prev Med Public Health. 2013;46(2):74-81. Published online March 28, 2013; DOI: https://doi.org/10.3961/jpmph.2013.46.2.74

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Abstract PDF

Objectives

The objective of this study was to evaluate the performance of risk-adjusted mortality models for colorectal cancer surgery.

Methods

We investigated patients (n=652) who had undergone colorectal cancer surgery (colectomy, colectomy of the rectum and sigmoid colon, total colectomy, total proctectomy) at five teaching hospitals during 2008. Mortality was defined as 30-day or in-hospital surgical mortality. Risk-adjusted mortality models were constructed using claims data (basic model) with the addition of TNM staging (TNM model), physiological data (physiological model), surgical data (surgical model), or all clinical data (composite model). Multiple logistic regression analysis was performed to develop the risk-adjustment models. To compare the performance of the models, both c-statistics using Hanley-McNeil pair-wise testing and the ratio of the observed to the expected mortality within quartiles of mortality risk were evaluated to assess the abilities of discrimination and calibration.

Results

The physiological model (c=0.92), surgical model (c=0.92), and composite model (c=0.93) displayed a similar improvement in discrimination, whereas the TNM model (c=0.87) displayed little improvement over the basic model (c=0.86). The discriminatory power of the models did not differ by the Hanley-McNeil test (p>0.05). Within each quartile of mortality, the composite and surgical models displayed an expected mortality ratio close to 1.

Conclusions

The addition of clinical data to claims data efficiently enhances the performance of the risk-adjusted postoperative mortality models in colorectal cancer surgery. We recommended that the performance of models should be evaluated through both discrimination and calibration.

Summary

Citations

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Selecting the Best Prediction Model for Readmission: Eun Whan Lee; J Prev Med Public Health. 2012;45(4):259-266. Published online July 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.4.259

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Abstract PDF

Objectives

This study aims to determine the risk factors predicting rehospitalization by comparing three models and selecting the most successful model.

Methods

In order to predict the risk of rehospitalization within 28 days after discharge, 11 951 inpatients were recruited into this study between January and December 2009. Predictive models were constructed with three methods, logistic regression analysis, a decision tree, and a neural network, and the models were compared and evaluated in light of their misclassification rate, root asymptotic standard error, lift chart, and receiver operating characteristic curve.

Results

The decision tree was selected as the final model. The risk of rehospitalization was higher when the length of stay (LOS) was less than 2 days, route of admission was through the out-patient department (OPD), medical department was in internal medicine, 10th revision of the International Classification of Diseases code was neoplasm, LOS was relatively shorter, and the frequency of OPD visit was greater.

Conclusions

When a patient is to be discharged within 2 days, the appropriateness of discharge should be considered, with special concern of undiscovered complications and co-morbidities. In particular, if the patient is admitted through the OPD, any suspected disease should be appropriately examined and prompt outcomes of tests should be secured. Moreover, for patients of internal medicine practitioners, co-morbidity and complications caused by chronic illness should be given greater attention.

Summary

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Special Articles

Korean National Health Insurance Value Incentive Program: Achievements and Future Directions: Sun Min Kim, Won Mo Jang, Hyun Ah Ahn, Hyang Jeong Park, Hye Sook Ahn; J Prev Med Public Health. 2012;45(3):148-155. Published online May 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.3.148

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Abstract PDF

Since the reformation of the National Health Insurance Act in 2000, the Health Insurance Review and Assessment Service (HIRA) in the Republic of Korea has performed quality assessments for healthcare providers. The HIRA Value Incentive Program (VIP), established in July 2007, provides incentives for excellent-quality institutions and disincentives for poor-quality ones. The program is implemented based on data collected between July 2007 and December 2009. The goal of the VIP is to improve the overall quality of care and decrease the quality gaps among healthcare institutions. Thus far, the VIP has targeted acute myocardial infarction (AMI) and Caesarian section (C-section) care. The incentives and disincentives awarded to the hospitals by their composite quality scores of the AMI and C-section scores. The results of the VIP showed continuous and marked improvement in the composite quality scores of the AMI and C-section measures between 2007 and 2010. With the demonstrated success of the VIP project, the Ministry of Health and Welfare expanded the program in 2011 to include general hospitals. The HIRA VIP was deemed applicable to the Korean healthcare system, but before it can be expanded further, the program must overcome several major concerns, as follows: inclusion of resource use measures, rigorous evaluation of impact, application of the VIP to the changing payment system, and expansion of the VIP to primary care clinics.

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Designing an Effective Pay-for-performance System in the Korean National Health Insurance: Hyoung-Sun Jeong; J Prev Med Public Health. 2012;45(3):127-136. Published online May 31, 2012; DOI: https://doi.org/10.3961/jpmph.2012.45.3.127

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Abstract PDF

The challenge facing the Korean National Health Insurance includes what to spend money on in order to elevate the 'value for money.' This article reviewed the changing issues associated with quality of care in the Korean health insurance system and envisioned a picture of an effective pay-for-performance (P4P) system in Korea taking into consideration quality of care and P4P systems in other countries. A review was made of existing systematic reviews and a recent Organization for Economic Cooperation and Development survey. An effective P4P in Korea was envisioned as containing three features: measures, basis for reward, and reward. The first priority is to develop proper measures for both efficiency and quality. For further improvement of quality indicators, an electronic system for patient history records should be built in the near future. A change in the level or the relative ranking seems more desirable than using absolute level alone for incentives. To stimulate medium- and small-scale hospitals to join the program in the next phase, it is suggested that the scope of application be expanded and the level of incentives adjusted. High-quality indicators of clinical care quality should be mapped out by combining information from medical claims and information from patient registries.

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Original Articles

Perceived Service Quality among Outpatients Visiting Hospitals and Clinics and Their Willingness to Re-utilize the Same Medical Institutions.: Minsoo Jung, Keon Hyung Lee, Mankyu Choi; J Prev Med Public Health. 2009;42(3):151-159.; DOI: https://doi.org/10.3961/jpmph.2009.42.3.151

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Abstract PDF

OBJECTIVES
This study was to determine how the perception and the satisfaction of outpatients who utilized clinics and hospitals are structurally related with their willingness to utilize the same institution in the future. METHODS: Three hundred and ten responses (via convenient sampling) were collected from 5 hospitals and 20 clinics located in Seoul listed in the "Korea National Hospital Directory 2005". Service quality was utilized as the satisfaction measurement tool. For analysis, we used a structural equation modeling method. RESULTS: The determining factors for general satisfaction with medical services are as follows: medical staff, reasonability of payment, comfort and accessibility. Such results may involve increased competition in the medical market and increased demands for quality medical services, which drive the patients to visit hospitals on their own on the basis of changed determining factors for satisfaction. CONCLUSIONS: The structural equation model showed that the satisfaction of outpatients with the quality of medical services is influenced by a few sub-dimensional satisfaction factors. Among these sub-dimensional satisfaction factors, the satisfaction with medical staff and payment were determined to exert a significant effect on overall satisfaction with the quality of medical services. The structural relationship in which overall satisfaction perceived by patients significantly influences their willingness to use the same institution in the future was also verified.

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Dimensions of Consumer Ratings of a Hospital Outpatient Service Quality.: Ki Tae Moon, Seung Hum Yu, Woo Hyun Cho, Dong Kee Kim, Yunwhan Lee; Korean J Prev Med. 2000;33(4):495-504.

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Abstract PDF: OBJECTIVES
To examine various dimensions of consumer ratings of health care service with factor analysis and to find which factors influence the overall quality of health care service. METHODS: A cross-sectional study was conducted on outpatients of a general hospital located in Sungnam City. A self-administered questionnaire was used to assess the consumer? ratings of health care service received. The response rate was 92.8% with a total of 537 persons completing the questionnaire. Factor analysis was performed on 34 items evaluating the quality of health care service. Items were grouped into 5 dimensions as a result of factor analysis and the reliability and validity of influence on patient service assessment were evaluated for each dimension. RESULTS: The 5 dimensions were as follows ; 1) physician services, 2) non-physician services, 3) process 4) facilities, and 5) cleanliness. A positive correlation with the quality of health care service was found for the dimensions of non-physician services and process, while no significant correlation was found for the dimensions of physician services, facilities, and cleanliness. CONCLUSIONS: The result of this study may provide basic information for the development of future self-administered questionnaires of consumer ratings and for the evaluation of quality improvement activities in hospital outpatient settings.; Summary

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