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Filip Meheus

Biographic Data

ID5103142
NAMEFilip Meheus
GIVEN NAMESFilip
FAMILY NAMEMeheus
SIGNATUREMEHEUS F
AFFILIATIONSRoyal Tropical Institute
ORCID0000-0003-1999-6090
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS11
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2023
H-INDEX1
  • The cost of inaction on physical inactivity to public health-care systems: A population-attributable fraction analysis

    Open Access•Andreia Costa Santos, Juana F Willumsen et al.•ARTICLE•The Lancet Global Health•2023

    BACKGROUND: Physical inactivity is an important modifiable risk factor for non-communicable diseases (NCDs) and mental health conditions. We aimed to estimate the public health-care costs associated with these diseases because of physical inactivity, which will help policy makers to prioritise investment in policy actions to promote and enable more people to be more active. METHODS: We used a population-attributable fraction formula to estimate t…

  • How to do (or not to do)… Measuring health worker motivation in surveys in low- and middle-income countries

    Open Access•Josephine Borghi, Johannes Lohmann et al.•ARTICLE•Health Policy and Planning•2018

    A health system’s ability to deliver quality health care depends on the availability of motivated health workers, which are insufficient in many low income settings. Increasing policy and researcher attention is directed towards understanding what drives health worker motivation and how different policy interventions affect motivation, as motivation is key to performance and quality of care outcomes. As a result, there is growing interest among r…

  • Equity in financing and use of health care in Ghana, South Africa, and Tanzania: Implications for paths to universal coverage

    Open Access•Antonia Mills, Anne Mills et al.•ARTICLE•The Lancet•2012

  • Who pays and who benefits from health care? An assessment of equity in health care financing and benefit distribution in Tanzania

    Open Access•Gemini Mtei, Suzan Makawia et al.•ARTICLE•Health Policy and Planning•2012•Cited by: 10•References: 17

    Little is known about health system equity in Tanzania, whether in terms of distribution of the health care financing burden or distribution of health care benefits. This study undertook a combined analysis of both financing and benefit incidence to explore the distribution of health care benefits and financing burden across socio-economic groups. A system-wide analysis of benefits was undertaken, including benefits from all providers irrespectiv…

  • Achieving better measles immunization in developing countries: Does Higher Coverage Imply Lower Inequality

    Open Access•Filip Meheus, Eddy Van Doorslaer•ARTICLE•Social Science & Medicine•2008•Cited by: 1•References: 1

  • Who pays and who benefits from health care? An assessment of equity in health care financing and benefit distribution in Tanzania

    Open Access•Gemini Mtei, Suzan Makawia et al.•ARTICLE•Health Policy and Planning•2012•Cited by: 10•References: 17

    Little is known about health system equity in Tanzania, whether in terms of distribution of the health care financing burden or distribution of health care benefits. This study undertook a combined analysis of both financing and benefit incidence to explore the distribution of health care benefits and financing burden across socio-economic groups. A system-wide analysis of benefits was undertaken, including benefits from all providers irrespectiv…

  • Achieving better measles immunization in developing countries: Does Higher Coverage Imply Lower Inequality

    Open Access•Filip Meheus, Eddy Van Doorslaer•ARTICLE•Social Science & Medicine•2008•Cited by: 1•References: 1

  • Achieving better measles immunization in developing countries: Does Higher Coverage Imply Lower Inequality

    Open Access•Filip Meheus, Eddy Van Doorslaer•ARTICLE•Social Science & Medicine•2008•Cited by: 1•References: 1

  • Equity in financing and use of health care in Ghana, South Africa, and Tanzania: Implications for paths to universal coverage

    Open Access•Antonia Mills, Anne Mills et al.•ARTICLE•The Lancet•2012

  • Who pays and who benefits from health care? An assessment of equity in health care financing and benefit distribution in Tanzania

    Open Access•Gemini Mtei, Suzan Makawia et al.•ARTICLE•Health Policy and Planning•2012•Cited by: 10•References: 17

    Little is known about health system equity in Tanzania, whether in terms of distribution of the health care financing burden or distribution of health care benefits. This study undertook a combined analysis of both financing and benefit incidence to explore the distribution of health care benefits and financing burden across socio-economic groups. A system-wide analysis of benefits was undertaken, including benefits from all providers irrespectiv…

  • How to do (or not to do)… Measuring health worker motivation in surveys in low- and middle-income countries

    Open Access•Josephine Borghi, Johannes Lohmann et al.•ARTICLE•Health Policy and Planning•2018

    A health system’s ability to deliver quality health care depends on the availability of motivated health workers, which are insufficient in many low income settings. Increasing policy and researcher attention is directed towards understanding what drives health worker motivation and how different policy interventions affect motivation, as motivation is key to performance and quality of care outcomes. As a result, there is growing interest among r…

  • The cost of inaction on physical inactivity to public health-care systems: A population-attributable fraction analysis

    Open Access•Andreia Costa Santos, Juana F Willumsen et al.•ARTICLE•The Lancet Global Health•2023

    BACKGROUND: Physical inactivity is an important modifiable risk factor for non-communicable diseases (NCDs) and mental health conditions. We aimed to estimate the public health-care costs associated with these diseases because of physical inactivity, which will help policy makers to prioritise investment in policy actions to promote and enable more people to be more active. METHODS: We used a population-attributable fraction formula to estimate t…

Economic growth (5 works) · Economics (4 works) · Global Maternal and Child Health (4 works) · Health care (4 works) · Medicine (3 works) · Business (2 works) · Developing country (2 works) · Equity (law) (2 works) · Healthcare Systems and Reforms (2 works) · Political science (2 works)

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