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Frank Eijkenaar

Biographic Data

ID5541461
NAMEFrank Eijkenaar
GIVEN NAMESFrank
FAMILY NAMEEijkenaar
SIGNATUREEIJKENAAR F
AFFILIATIONSErasmus University Rotterdam
ORCID0000-0002-4471-7623
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2024
H-INDEX0
  • Aligning Ambition and Reality

    Open Access•Sanne Allers, Frank Eijkenaar et al.•ARTICLE•International Journal of…•2024•References: 6

    Financial factors have an impact on the outcomes of integrated care projects and must be viewed in synergy with interrelated other factors. Crucial for realizing success in integrated care, a balance must be struck between the level of ambition set in a project and the reality of the prevailing key conditions

  • Predictable profits and losses in a health insurance market with risk equalization

    Open Access•A A Withagen-Koster, Richard C van Kleef et al.•ARTICLE•Health Policy•2023

  • Prediction Models for Future High-Need High-Cost Healthcare Use as Part of Case-Finding for Care-Management

    Open Access•Ursula De Ruijter, Rana Kaplan et al.•ARTICLE•International Journal of…•2022

  • Facilitators and barriers for implementing patient-reported outcome measures in clinical care

    Open Access•Marzyeh Amini, Arvind Oemrawsingh et al.•ARTICLE•Health Policy•2021

    Objectives The aim of this study was to explore the perspectives of healthcare providers and researchers in a large academic hospital on facilitators and barriers for implementing patient-reported outcome measures (PROMs) in clinical care. Methods A customized web-based questionnaire was developed and disseminated to healthcare providers and researchers across multiple medical departments involved in a value-based health care initiative in the ho…

  • Diagnosis-based Cost Groups in the Dutch Risk-equalization Model

    Frank Eijkenaar, René C J A Van Vliet et al.•ARTICLE•Medical Care•2018•References: 12

    BACKGROUND: The risk-equalization (RE) model in the Dutch health insurance market has evolved to a sophisticated model containing direct proxies for health. However, it still has important imperfections, leaving incentives for risk selection. This paper focuses on refining an important health-based risk-adjuster in this model: the diagnosis-based costs groups (DCGs). The current (2017) DCGs are calibrated on "old" data of 2011/2012, are mutually …

  • Effects of pay for performance in health care

    Open Access•Frank Eijkenaar, Martin Emmert et al.•ARTICLE•Health Policy•2013

  • Profiling Individual Physicians Using Administrative Data From a Single Insurer

    Frank Eijkenaar, René C J A Van Vliet•ARTICLE•Medical Care•2013•References: 9

    BACKGROUND: Individual physicians are increasingly being subjected to comparative performance assessments. When single-insurer data are used to profile individual physicians' performance, reliable measurements are uncertain because of small sample sizes. METHODS: Administrative data (2006-2008) from a Dutch insurer are used to examine variation in general practitioners' (GPs) performance on expenses (5 measures), utilization of hospital care (2 m…

No prominent works on this page.

  • Effects of pay for performance in health care

    Open Access•Frank Eijkenaar, Martin Emmert et al.•ARTICLE•Health Policy•2013

  • Profiling Individual Physicians Using Administrative Data From a Single Insurer

    Frank Eijkenaar, René C J A Van Vliet•ARTICLE•Medical Care•2013•References: 9

    BACKGROUND: Individual physicians are increasingly being subjected to comparative performance assessments. When single-insurer data are used to profile individual physicians' performance, reliable measurements are uncertain because of small sample sizes. METHODS: Administrative data (2006-2008) from a Dutch insurer are used to examine variation in general practitioners' (GPs) performance on expenses (5 measures), utilization of hospital care (2 m…

  • Diagnosis-based Cost Groups in the Dutch Risk-equalization Model

    Frank Eijkenaar, René C J A Van Vliet et al.•ARTICLE•Medical Care•2018•References: 12

    BACKGROUND: The risk-equalization (RE) model in the Dutch health insurance market has evolved to a sophisticated model containing direct proxies for health. However, it still has important imperfections, leaving incentives for risk selection. This paper focuses on refining an important health-based risk-adjuster in this model: the diagnosis-based costs groups (DCGs). The current (2017) DCGs are calibrated on "old" data of 2011/2012, are mutually …

  • Facilitators and barriers for implementing patient-reported outcome measures in clinical care

    Open Access•Marzyeh Amini, Arvind Oemrawsingh et al.•ARTICLE•Health Policy•2021

    Objectives The aim of this study was to explore the perspectives of healthcare providers and researchers in a large academic hospital on facilitators and barriers for implementing patient-reported outcome measures (PROMs) in clinical care. Methods A customized web-based questionnaire was developed and disseminated to healthcare providers and researchers across multiple medical departments involved in a value-based health care initiative in the ho…

  • Prediction Models for Future High-Need High-Cost Healthcare Use as Part of Case-Finding for Care-Management

    Open Access•Ursula De Ruijter, Rana Kaplan et al.•ARTICLE•International Journal of…•2022

  • Predictable profits and losses in a health insurance market with risk equalization

    Open Access•A A Withagen-Koster, Richard C van Kleef et al.•ARTICLE•Health Policy•2023

  • Aligning Ambition and Reality

    Open Access•Sanne Allers, Frank Eijkenaar et al.•ARTICLE•International Journal of…•2024•References: 6

    Financial factors have an impact on the outcomes of integrated care projects and must be viewed in synergy with interrelated other factors. Crucial for realizing success in integrated care, a balance must be struck between the level of ambition set in a project and the reality of the prevailing key conditions

Healthcare Policy and Management (4 works) · Medicine (4 works) · Business (3 works) · Primary Care and Health Outcomes (3 works) · Actuarial science (2 works) · Computer Science (2 works) · Mathematics (2 works) · Adverse selection (1 work) · Cancer survivorship and care (1 work) · Cluster analysis (1 work)

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