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Health care seeking behaviour and utilisation in a multiple health insurance system: does insurance affiliation matter?

Overview of attention for article published in International Journal for Equity in Health, March 2014
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Citations

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250 Mendeley
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Title
Health care seeking behaviour and utilisation in a multiple health insurance system: does insurance affiliation matter?
Published in
International Journal for Equity in Health, March 2014
DOI 10.1186/1475-9276-13-25
Pubmed ID
Authors

Eunice Nahyuha Chomi, Phares GM Mujinja, Ulrika Enemark, Kristian Hansen, Angwara Dennis Kiwara

Abstract

Many countries striving to achieve universal health insurance coverage have done so by means of multiple health insurance funds covering different population groups. However, existence of multiple health insurance funds may also cause variation in access to health care, due to the differential revenue raising capacities and benefit packages offered by the various funds resulting in inequity and inefficiency within the health system. This paper examines how the existence of multiple health insurance funds affects health care seeking behaviour and utilisation among members of the Community Health Fund, the National Health Insurance Fund and non-members in two districts in Tanzania.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Bangladesh 1 <1%
Nigeria 1 <1%
Belgium 1 <1%
South Africa 1 <1%
Unknown 246 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 56 22%
Researcher 30 12%
Student > Bachelor 28 11%
Student > Ph. D. Student 25 10%
Student > Postgraduate 18 7%
Other 34 14%
Unknown 59 24%
Readers by discipline Count As %
Medicine and Dentistry 61 24%
Social Sciences 37 15%
Nursing and Health Professions 34 14%
Economics, Econometrics and Finance 13 5%
Business, Management and Accounting 7 3%
Other 28 11%
Unknown 70 28%