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Slawomirski L, Hensher M, Campbell J, deGraaff B. Pay-for-performance and patient safety in acute care: A systematic review. Health Policy 2024; 143:105051. [PMID: 38547664 DOI: 10.1016/j.healthpol.2024.105051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Revised: 03/13/2024] [Accepted: 03/17/2024] [Indexed: 04/20/2024]
Abstract
Pay-for-performance (p4p) has been tried in all healthcare settings to address ongoing deficiencies in the quality and outcomes of care. The evidence for the effect of these policies has been inconclusive, especially in acute care. This systematic review focused on patient safety p4p in the hospital setting. Using the PRISMA guidelines, we searched five biomedical databases for quantitative studies using at least one outcome metric from database inception to March 2023, supplemented by reference tracking and internet searches. We identified 6,122 potential titles of which 53 were included: 39 original investigations, eight literature reviews and six grey literature reports. Only five system-wide p4p policies have been implemented, and the quality of evidence was low overall. Just over half of the studies (52 %) included failed to observe improvement in outcomes, with positive findings heavily skewed towards poor quality evaluations. The exception was the Fragility Hip Fracture Best Practice Tariff (BPT) in England, where sustained improvement was observed across various evaluations. All policies had a miniscule impact on total hospital revenue. Our findings underscore the importance of simple and transparent design, involvement of the clinical community, explicit links to other quality improvement initiatives, and gradual implementation of p4p initatives. We also propose a research agenda to lift the quality of evidence in this field.
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Affiliation(s)
- Luke Slawomirski
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia.
| | - Martin Hensher
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia
| | - Julie Campbell
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia
| | - Barbara deGraaff
- Menzies Institute for Medical Research, University of Tasmania, 17 Liverpool St., Hobart 7000, Tasmania, Australia
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Leao DLL, Pavlova M, Groot W. Risk selection reduces efficiency of value-based healthcare. Int J Health Plann Manage 2023; 38:1088-1096. [PMID: 37665086 DOI: 10.1002/hpm.3648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 09/05/2023] Open
Abstract
Value-based healthcare aims to improve efficiency and value for patients. Value-based payment models are a form of provider reimbursement to achieve this. Studies on these models have found positive results, but may be biased by unintended consequences, such as risk selection. Risk selection is a multi-dimensional phenomenon that occurs at the patient, hospital, and system level, and is a source of inefficiency and inequality in healthcare. Risk selection may occur because of selection bias in the outcomes that are evaluated and rewarded, or due to the selection of lower cost patients. Risk selection may also stem from professional reputation. The motivation to engage in risk selection may also arise from differences in the meaning of value. To mitigate these unintended consequences, several strategies can be adopted. These include making value-based payment models attractive, but not mandatory, as well as incentivising transparent reporting of best practices, using adequate risk adjustment, expanding performance metrics, and including patient-reported experience measures. Other mitigation strategies could include adopting a mixture of performance measures, using mixed methods of paying physicians, and implementing monitoring and evaluation mechanisms. However, such approaches are not flawless, and the problem may never be fully solved. This perspective serves as a warning for the constant presence of risk selection, as well as informing policy makers, politicians, and organisations implementing VBP models on ways to minimise the possibility of risk selection.
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Affiliation(s)
- Diogo L L Leao
- Department of Health Services Research, CAHPRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Milena Pavlova
- Department of Health Services Research, CAHPRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Wim Groot
- Department of Health Services Research, CAHPRI, Maastricht University Medical Center, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
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Minvielle E, Fierobe A, Fourcade A, Ferrua M, di Palma M, Scotté F, Mir O. The use of patient-reported outcome and experience measures for health policy purposes: A scoping review in oncology. Health Policy 2023; 129:104702. [PMID: 36588068 DOI: 10.1016/j.healthpol.2022.12.010] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 12/12/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022]
Abstract
The systematic use of patient-reported measures (PRMs) [i.e., patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs)] is advocated as an effective way to improve care practices. However, whether PRMs can lead to the performance assessment of healthcare organisations (HCOs) through valid quality indicators (QIs) for national purposes (i.e., public reporting and paying for performance) is open to debate. This study undertakes a scoping review to examine the use of PRMs as QIs for health policy purposes and to identify the challenges faced in the emblematic case of oncology. According to PRISMA guidelines, published papers, websites and reports published by national and international initiatives were analysed using five online databases (Web of Science, Scopus, PubMed, JSTOR and Google Advanced Search), and then studied using the same keywords. We selected 61 articles and 19 websites/reports and identified 29 PREMs and 48 PROMs from 14 countries and two international initiatives that routinely used them as QIs for HCOs' comparisons. Four types of barriers to this specific use were identified relating to the definition of a standard set, scientific soundness, data collection, and the actionability of such measures. Despite current developments, different barriers still must be overcome before PRMs can be used for health policy purposes in oncology. Future research is needed to ensure that valid QIs related to PRMs are applied at a national level.
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Affiliation(s)
- E Minvielle
- Gustave Roussy, Division of Interdisciplinary Patient Care Pathways (DIOPP), Villejuif, France; I3-CRG, Ecole polytechnique-CNRS, Institut Polytechnique de Paris, Palaiseau, France.
| | - A Fierobe
- Gustave Roussy, Division of Interdisciplinary Patient Care Pathways (DIOPP), Villejuif, France; I3-CRG, Ecole polytechnique-CNRS, Institut Polytechnique de Paris, Palaiseau, France
| | - A Fourcade
- Gustave Roussy, Division of Interdisciplinary Patient Care Pathways (DIOPP), Villejuif, France
| | - M Ferrua
- Gustave Roussy, Division of Interdisciplinary Patient Care Pathways (DIOPP), Villejuif, France
| | - M di Palma
- Gustave Roussy, Division of Interdisciplinary Patient Care Pathways (DIOPP), Villejuif, France
| | - F Scotté
- Gustave Roussy, Division of Interdisciplinary Patient Care Pathways (DIOPP), Villejuif, France
| | - O Mir
- Gustave Roussy, Division of Interdisciplinary Patient Care Pathways (DIOPP), Villejuif, France
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Wang L, Huang R, Shen C, Li G. Hospital Employee Performance Evaluation Based on Knowledge Map. INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS AND SUPPLY CHAIN MANAGEMENT 2022. [DOI: 10.4018/ijisscm.306251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
With the deepening of theoretical research and social practice, hospital employee performance management has developed into a mature knowledge system. Therefore, systematic review of the research results in this field is conducive to fully understand its research history, grasp the research hotspots and frontier issues, which is of great significance to theoretical innovation in the field of hospital employee performance evaluation.iteSpace 5.3.R4 was used as the visualization tool draw a knowledge map to systematically sort out the distribution of relevant literature of hospital employee performance evaluation, including time distribution, journal distribution, author distribution, etc., and conduct a systematic research on the research hotspots and research frontiers in the field of hospital employee performance evaluation, which provides a beneficial reference for the theoretical research and practical innovation of domestic hospital employee performance evaluation.
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Affiliation(s)
- Lei Wang
- Hefei University of Technology, China
| | | | | | - Guofu Li
- Anhui Polytechnic University, China
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Chen TT, Oldenburg B, Hsueh YS. Chronic care model in the diabetes pay-for-performance program in Taiwan: Benefits, challenges and future directions. World J Diabetes 2021; 12:578-589. [PMID: 33995846 PMCID: PMC8107979 DOI: 10.4239/wjd.v12.i5.578] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/26/2020] [Revised: 02/08/2021] [Accepted: 04/05/2021] [Indexed: 02/06/2023] Open
Abstract
In this review, we discuss the chronic care model (CCM) in relation to the diabetes pay-for-performance (P4P) program in Taiwan. We first introduce the 6 components of the CCM and provide a detailed description of each of the activities in the P4P program implemented in Taiwan, mapping them onto the 6 components of the CCM. For each CCM component, the following three topics are described: the definition of the CCM component, the general activities implemented related to this component, and practical and empirical practices based on hospital or local government cases. We then conclude by describing the possible successful features of this P4P program and its challenges and future directions. We conclude that the successful characteristics of this P4P program in Taiwan include its focus on extrinsic and intrinsic incentives (i.e., shared care network), physician-led P4P and the implementation of activities based on the CCM components. However, due to the low rate of P4P program coverage, approximately 50% of patients with diabetes cannot enjoy the benefits of CCM-related activities or receive necessary examinations. In addition, most of these CCM-related activities are not allotted an adequate amount of incentives, and these activities are mainly implemented in hospitals, which compared with primary care providers, are unable to execute these activities flexibly. All of these issues, as well as insufficient implementation of the e-CCM model, could hinder the advanced improvement of diabetes care in Taiwan.
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Affiliation(s)
- Tsung-Tai Chen
- Department of Public Health, College of Medicine, Fu Jen Catholic University, New Taipei 24205, Taiwan
| | - Brian Oldenburg
- Noncommunicable Disease Control Unit, Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3053, Australia
| | - Ya-Seng Hsueh
- Centre for Health Policy, Melbourne School of Population and Global Health, University of Melbourne, Melbourne 3053, Australia
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Field RI, Keller C, Louazel M. Can governments push providers to collaborate? A comparison of hospital network reforms in France and the United States. Health Policy 2020; 124:1100-1107. [DOI: 10.1016/j.healthpol.2020.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 06/12/2020] [Accepted: 07/09/2020] [Indexed: 10/23/2022]
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Jan CF, Lee MC, Chiu CM, Huang CK, Hwang SJ, Chang CJ, Chiu TY. Awareness of, attitude toward, and willingness to participate in pay for performance programs among family physicians: a cross-sectional study. BMC FAMILY PRACTICE 2020; 21:60. [PMID: 32228473 PMCID: PMC7106702 DOI: 10.1186/s12875-020-01118-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 02/26/2020] [Indexed: 01/02/2023]
Abstract
Background The National Health Insurance Administration of Taiwan has introduced several pay-for-performance programs to improve the quality of healthcare. This study aimed to provide government with evidence-based research findings to help primary care physicians to actively engage in pay-for-performance programs. Methods We conducted a questionnaire survey among family physicians with age-stratified sampling from September 2016 to December 2017. The structured questionnaire consisted of items including the basic demographics of the surveyee and their awareness of and attitudes toward the strengths and/or weaknesses of the pay-for-performance programs, as well as their subjective norms, and the willingness to participate in the pay-for-performance programs. Univariate analysis and multivariate logistic regression analysis were performed to compare the differences between family physicians who participate in the pay-for-performance programs versus those who did not. Results A total of 543 family physicians completed the questionnaire. Among family physicians who participated in the pay-for-performance programs, more had joined the Family Practice Integrated Care Project [Odds ratio (OR): 2.70; 95% Confidence interval (CI): 1.78 ~ 4.09], had a greater awareness of pay-for-performance programs (OR: 2.37; 95% CI: 1.50 ~ 3.83), and a less negative attitude to pay-for-performance programs (OR: 0.50; 95% CI: 0.31 ~ 0.80) after adjusting for age and gender. The major reasons for family physicians who decided to join the pay-for-performance programs included believing the programs help enhance the quality of healthcare (80.8%) and recognizing the benefit of saving health expenditure (63.4%). The causes of unwillingness to join in a pay-for-performance program among non-participants were increased load of administrative works (79.6%) and inadequate understanding of the contents of the pay-for-performance programs (62.9%). Conclusions To better motivate family physicians into P4P participation, hosting effective training programs, developing a more transparent formula for assessing financial risk, providing sufficient budget for healthcare quality improvement, and designing a reasonable profit-sharing plan to promote collaboration between different levels of medical institutions are all imperative.
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Affiliation(s)
- Chyi-Feng Jan
- Department of Family Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No.7, Chung-Shan South Road, 10002, Taipei, Taiwan
| | - Meng-Chih Lee
- Department of Family Medicine, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan.,Chinese Taipei (Taiwan) Association of Family Medicine, Taipei, Taiwan
| | - Ching-Ming Chiu
- Department of Family Medicine, National Taiwan University Hospital, Yunlin Branch, Taipei, Yunlin, Taiwan
| | - Cheng-Kuo Huang
- Chinese Taipei (Taiwan) Association of Family Medicine, Taipei, Taiwan.,Keelung Medical Association, Keelung, Taiwan
| | - Shinn-Jang Hwang
- Chinese Taipei (Taiwan) Association of Family Medicine, Taipei, Taiwan.,School of Medicine, National Yang-Ming University, Taipei, Taiwan.,Taipei Veterans General Hospital, Taipei, Taiwan
| | - Che-Jui Chang
- Department of Family Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No.7, Chung-Shan South Road, 10002, Taipei, Taiwan
| | - Tai-Yuan Chiu
- Department of Family Medicine, National Taiwan University Hospital, College of Medicine, National Taiwan University, No.7, Chung-Shan South Road, 10002, Taipei, Taiwan. .,Chinese Taipei (Taiwan) Association of Family Medicine, Taipei, Taiwan.
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Sankaran R, Sukul D, Nuliyalu U, Gulseren B, Engler TA, Arntson E, Zlotnick H, Dimick JB, Ryan AM. Changes in hospital safety following penalties in the US Hospital Acquired Condition Reduction Program: retrospective cohort study. BMJ 2019; 366:l4109. [PMID: 31270062 PMCID: PMC6607204 DOI: 10.1136/bmj.l4109] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE To evaluate the association between hospital penalization in the US Hospital Acquired Condition Reduction Program (HACRP) and subsequent changes in clinical outcomes. DESIGN Regression discontinuity design applied to a retrospective cohort from inpatient Medicare claims. SETTING 3238 acute care hospitals in the United States. PARTICIPANTS Medicare fee-for-service beneficiaries discharged from acute care hospitals between 23 July 2014 and 30 November 2016 and eligible for at least one targeted hospital acquired condition (n=15 470 334). INTERVENTION Hospital receipt of a penalty in the first year of the HACRP. MAIN OUTCOME MEASURES Episode level count of targeted hospital acquired conditions per 1000 episodes, 30 day readmissions, and 30 day mortality. RESULTS Of 724 hospitals penalized under the HACRP in fiscal year 2015, 708 were represented in the study. Mean counts of hospital acquired conditions were 2.72 per 1000 episodes for penalized hospitals and 2.06 per 1000 episodes for non-penalized hospitals; 30 day readmissions were 14.4% and 14.0%, respectively, and 30 day mortality was 9.0% for both hospital groups. Penalized hospitals were more likely to be large, teaching institutions, and have a greater share of patients with low socioeconomic status than non-penalized hospitals. HACRP penalties were associated with a non-significant change of -0.16 hospital acquired conditions per 1000 episodes (95% confidence interval -0.53 to 0.20), -0.36 percentage points in 30 day readmission (-1.06 to 0.33), and -0.04 percentage points in 30 day mortality (-0.59 to 0.52). No clear patterns of clinical improvement were observed across hospital characteristics. CONCLUSIONS Penalization was not associated with significant changes in rates of hospital acquired conditions, 30 day readmission, or 30 day mortality, and does not appear to drive meaningful clinical improvements. By disproportionately penalizing hospitals caring for more disadvantaged patients, the HACRP could exacerbate inequities in care.
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Affiliation(s)
- Roshun Sankaran
- University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA
- University of Michigan Medical School, Ann Arbor, MI, USA
| | - Devraj Sukul
- University of Michigan Medical School, Ann Arbor, MI, USA
| | - Ushapoorna Nuliyalu
- Center for Healthcare Outcomes and Policy, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, Ann Arbor, MI, USA
| | - Baris Gulseren
- University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA
| | - Tedi A Engler
- University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA
- Center for Healthcare Outcomes and Policy, Ann Arbor, MI, USA
| | - Emily Arntson
- University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA
- University of Michigan Medical School, Ann Arbor, MI, USA
| | - Hanna Zlotnick
- University of Michigan Gerald R Ford School of Public Policy, Ann Arbor, MI, USA
| | - Justin B Dimick
- University of Michigan Medical School, Ann Arbor, MI, USA
- Center for Healthcare Outcomes and Policy, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, Ann Arbor, MI, USA
| | - Andrew M Ryan
- University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI 48109, USA
- Center for Healthcare Outcomes and Policy, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, Ann Arbor, MI, USA
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