| Literature DB >> 34521399 |
S D Murphy1, S Moosa2.
Abstract
BACKGROUND: The South African government is implementing National Health Insurance (NHI) as a monopsony health care financing mechanism to drive the country towards Universal Health Coverage (UHC). Strategic purchasing, with separation of funder, purchaser and provider, underpins this initiative. The NHI plans Contracting Units for Primary healthcare (PHC) Services (CUPS) to function as either independent sub-district purchasers or public providers and District Health Management Offices (DHMOs) to support and monitor these CUPS. This decentralised operational unit of PHC, the heartbeat of NHI, is critical to the success of NHI. The views of district-level managers, who are responsible for these units, are fundamental to this NHI implementation. This qualitative study aimed to explore district and sub-district managerial views on NHI and their role in its implementation.Entities:
Keywords: Decentralised governance; Managerial capacity; National Health Insurance; Primary care; Qualitative research; Universal Health Coverage
Mesh:
Year: 2021 PMID: 34521399 PMCID: PMC8439954 DOI: 10.1186/s12913-021-06990-4
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Overarching questions in the interview schedule
| Nº | Question |
|---|---|
| 1. | What are your views on National Health Insurance? |
| 2. | Can you tell me about your engagement in NHI policy development? |
| 3. | What is your perception of the implementation of NHI? |
| 4. | Is there any other view or thought you would like to express? |
Measures to ensure study trustworthiness
| Component of Trustworthiness | Measures |
|---|---|
| Credibility | This study will used validated Framework Analysis method. Critical reflexivity was used during interviews with thick descriptions of data to facilitate internal validity. |
| Transferability | Detail of the research setting with an audit trail is provided for future research and cross comparison. |
| Confirmability | Computer assisted qualitative data analysis software was used to leave a paper trail alongside reflexive commentary. Quotes are used for in vivo description. |
| Dependability | Study design and methods are made explicit so that researchers can emulate the study design. |
Respondent Profiles
| Identifier | Ethnicity | Gender | Designation | Duration in Current Position |
|---|---|---|---|---|
| Respondent 1 (R1) | African | Male | DM | 1 month |
| Respondent 2 (R2) | African | Male | DM | 3 months |
| Respondent 3 (R3) | Coloured | Female | DM | 6 months |
| Respondent 4 (R4) | White | Female | DM | > 1 year |
| Respondent 5 (R5) | African | Female | sub-DM | > 1 year |
| Respondent 6 (R6) | Indian | Male | DM | > 1 year |
| Respondent 7 (R7) | African | Male | sub-DM | > 1 year |
| Respondent 8 (R8) | African | Female | DM | 4 months |
| Respondent 9 (R9) | African | Female | sub-DM | > 1 year |
| Respondent 10 (R10) | Coloured | Female | DM | 3 months |
Fig. 1Summary of findings