ArticleInternational journal of integrated care2016
A Review on Methods of Risk Adjustment and their Use in Integrated Healthcare Systems.
Article in International journal of integrated care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Governance of the risk of operating deficits in basic medical insurance funds in China: based on the data from City H for the period 2021-2025.BMC health services research · 2026Article
- Reducing private health expenditure in Greece: the case for regulated complementary health insurance.Frontiers in public health · 2026Article
- Noninterruptive tool to support provider malnutrition documentation and minimize documentation queries.JAMIA open · 2025Article
- New healthcare payment models: risk scores aren't enough to guide resource allocation.Scientific reports · 2025Article
- Medical deserts in Finland: measuring the accessibility and availability of primary health care services.BMC health services research · 2025Article
- Article
- Sensation seeking and risk adjustment: the role of reward sensitivity in dynamic risky decisions.Frontiers in behavioral neuroscience · 2025Article
- Applicability of the adjusted morbidity groups algorithm for healthcare programming: results of a pilot study in Italy.BMC public health · 2024Article
- Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology.NPJ digital medicine · 2024Article
- Analysis of North Carolina Medicaid Claims Data to Simulate a Pediatric Accountable Care Organization.JAMA network open · 2023Article
- Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs.Nature communications · 2023Article
- Association of hospital centrality in inter-hospital patient-sharing networks with patient mortality and length of stay.PloS one · 2023Article
- Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19.PLOS digital health · 2022Article
- Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography.Journal of the American College of Radiology : JACR · 2022Article
- Predicting Prolonged Hospitalization and Supplemental Oxygenation in Patients with COVID-19 Infection from Ambulatory Chest Radiographs using Deep Learning.Academic radiology · 2021Article
- Thoughts about health and patient-reported outcomes among people with diabetes mellitus: results from the DiaDec-study.BMC public health · 2021Article
- Tailoring integrated care services for high-risk patients with multiple chronic conditions: a risk stratification approach using cluster analysis.BMC health services research · 2020Article
- The Evaluation of Clinical Classifications Software Using the National Inpatient Sample Database.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Estimating Health Cost Repartition Among Diseases in the Presence of Multimorbidity.Health services research and managerial epidemiologyArticle
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionEffective risk adjustment is an aspect that is more and more given weight on the background of competitive health insurance systems and vital healthcare systems. The objective of this review was to obtain an overview of existing models of risk adjustment as well as on crucial weights in risk adjustment. Moreover, the predictive performance of selected methods in international healthcare systems should be analysed. THEORY AND
methodsA comprehensive, systematic literature review on methods of risk adjustment was conducted in terms of an encompassing, interdisciplinary examination of the related disciplines.
resultsIn general, several distinctions can be made: in terms of risk horizons, in terms of risk factors or in terms of the combination of indicators included. Within these, another differentiation by three levels seems reasonable: methods based on mortality risks, methods based on morbidity risks as well as those based on information on (self-reported) health status. CONCLUSIONS AND DISCUSSION: After the final examination of different methods of risk adjustment it was shown that the methodology used to adjust risks varies. The models differ greatly in terms of their included morbidity indicators. The findings of this review can be used in the evaluation of integrated healthcare delivery systems and can be integrated into quality- and patient-oriented reimbursement of care providers in the design of healthcare contracts.
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