Please use this identifier to cite or link to this item: https://cris.library.msu.ac.zw//handle/11408/5781
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTamisai Chipunzaen_US
dc.contributor.authorSenia Nhamoen_US
dc.contributor.editorRornald Muhumuza Kananuraen_US
dc.date.accessioned2023-09-11T09:40:20Z-
dc.date.available2023-09-11T09:40:20Z-
dc.date.issued2023-05-30-
dc.identifier.urihttps://cris.library.msu.ac.zw//handle/11408/5781-
dc.description.abstractBackground Zimbabwe’s tax-based healthcare financing model has been characterised by perennial financing deficits and widespread application of user fees and has thus been socially exclusive. The country’s urban informal sector population is not spared from these challenges. The study explored the potential demand for National Health Insurance (NHI) among respondents from selected urban informal sector clusters of Harare. The following clusters were targeted: Glenview furniture complex, Harare home industries, Mupedzanhamo flea market, Mbare new wholesale market and Mbare retail market. Methods A cross-sectional survey was administered to 388 respondents from the selected clusters, and data on the determinants of Willingness to Join (WTJ) and Willingness to Pay (WTP) was gathered. Respondents were recruited via a multi-stage sampling procedure. In the first stage, the five informal sector clusters were purposely selected. The second stage involved a proportional allocation of respondents by cluster size. Finally, based on the stalls allocated by municipal authorities in each area, respondents were selected using systematic sampling. The sampling interval (k) was determined by dividing the total number of allocated stalls in a cluster (N) by the sample size proportionate to that cluster (n). For each cluster, the first stall (respondent) was randomly chosen, and thereafter, a respondent from every 10th stall was selected and interviewed at their workplace. Contingent valuation was adopted to elicit WTP. Logit models and interval regression were applied for the econometric analyses. Results A total of 388 respondents participated in the survey. The dominant informal sector activity among the surveyed clusters was the sale of clothing and shoes (39.2%), followed by the sale of agricultural products (27.1%). Concerning employment status, the majority were own-account workers (73.1%). Most of the respondents (84.8%) completed secondary school. On monthly income from informal sector activities, the highest frequency (37.1%) was observed in the Zw$(1000 to <3000) or US$(28.57 to <85.71) category. The mean age of respondents was 36 years. Out of the 388 respondents, 325 (83.8%) were willing to join the proposed NHI scheme. WTJ was influenced by the following factors: health insurance awareness, health insurance perception, membership to a resource-pooling scheme, solidarity with the sick, and household recently experiencing difficulties paying for healthcare. On average, respondents were willing to pay Zw$72.13 (approximately US$2.06) per person per month. The key determinants of WTP were household size, respondent’s education level, income, and health insurance perception. Conclusions Since the majority of respondents from the sampled clusters were willing to join and pay for the contributory NHI scheme, it follows that there is potential to implement the scheme for the urban informal sector workers from the clusters studied. However, some issues require careful consideration. The informal sector workers need to be educated on the concept of risk pooling and the benefits of being members of an NHI scheme. Household size and income are factors that require special attention when deciding on the premiums for the scheme. Moreover, given that price instability hurts financial products such as health insurance, there is a need for ensuring macroeconomic stability.en_US
dc.language.isoenen_US
dc.publisherPublic Library of Scienceen_US
dc.relation.ispartofPLoS ONEen_US
dc.subjectPotential demanden_US
dc.subjectNational Health Insuranceen_US
dc.subjectZimbabween_US
dc.subjectHealth insuranceen_US
dc.subjectHarareen_US
dc.titlePotential demand for National Health Insurance in Zimbabwe: Evidence from selected urban informal sector clusters in Harareen_US
dc.typeresearch articleen_US
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0286374-
dc.contributor.affiliationDepartment of Economic Sciences, Midlands State University, Gweru, Zimbabween_US
dc.contributor.affiliationDepartment of Economics, University of South Africa, Gauteng, South Africaen_US
dc.contributor.editoraffiliationMakerere University School of Public Health, UGANDAen_US
dc.relation.issn1932-6203en_US
dc.description.startpage1en_US
dc.description.endpage28en_US
item.cerifentitytypePublications-
item.openairetyperesearch article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1en-
Appears in Collections:Research Papers
Files in This Item:
File Description SizeFormat 
Potential demand for National Health Insurance in Zimbabwe.pdfAbstract111.23 kBAdobe PDFView/Open
Show simple item record

Page view(s)

44
checked on May 15, 2024

Download(s)

6
checked on May 15, 2024

Google ScholarTM

Check

Altmetric


Items in MSUIR are protected by copyright, with all rights reserved, unless otherwise indicated.