| Literature DB >> 31064355 |
Rosalind McCollum1, Miriam Taegtmeyer2, Lilian Otiso3, Maryline Mireku3, Nelly Muturi3, Tim Martineau2, Sally Theobald2.
Abstract
BACKGROUND: Universal health coverage (UHC) is growing as a national political priority, within the context of recently devolved decision-making processes in Kenya. Increasingly voices within these discussions are highlighting the need for actions towards UHC to focus on quality of services, as well as improving coverage through expansion of national health insurance fund (NHIF) enrolment. Improving health equity is one of the most frequently described objectives for devolution of health services. Previous studies, however, highlight the complexity and unpredictability of devolution processes, potentially contributing to widening rather than reducing disparities. Our study applied Tanahashi's equity model (according to availability, accessibility, acceptability, contact with and quality) to review perceived equity of health services by actors across the health system and at community level, following changes to the priority-setting process at sub-national levels post devolution in Kenya.Entities:
Keywords: Devolution; Equity; Health services; Kenya; Tanahashi
Mesh:
Year: 2019 PMID: 31064355 PMCID: PMC6505258 DOI: 10.1186/s12939-019-0967-5
Source DB: PubMed Journal: Int J Equity Health ISSN: 1475-9276
Mapping supply and demand determinants with Tanahashi levels of coverage
| Supply and Demand | Tanahashi levels of coverage |
|---|---|
| Supply side determinants of the health system (those aspects of the health system which relate to the production of healthcare). | • Availability coverage – The availability of resources such as health workers, health facilities, drugs determines the extent to which a service can be provided |
| Demand side determinants (those aspects operating at individual, household or community level, which influence the ability of an individual to identify illness, and willingness to seek and use appropriate health care). | • Acceptability coverage – This domain defines the people who can access the service, are willing to use it and finds it acceptable for example in terms of costs, waiting time, beliefs. |
Sources (Frenz and Vega 2010; World Health Organisation (WHO) 2010; Tanahashi 1978; Ensor and Cooper 2004; Henriksson et al. 2017)
Funding sources in Kenya following devolution.
| County governments receive funding from three possible sources | |
|---|---|
| 1) transfers from central government which comprise an equitable share allocated to all the 47 counties from national general revenue collections using a revenue allocation formula, conditional grants ring fenced for specific functions, and an equalization fund for the 14 previously marginalized counties | |
| 2) locally generated revenue | |
| 3) donor funding |
Source: (Commission on revenue allocation 2016; Overseas Development Institute 2016; National Council for Law Reporting with the Authority of the Attorney-General 2010)
Key indices for study counties
| County | Marginalised3/ not marginalised | Poverty incidence | Rural/urban | Province | Live births in previous 5 years % delivered by skilled provider(Kenya National Bureau of Statistics et al. 2014) | % children age 12–23 months who are fully vaccinated(Kenya National Bureau of Statistics et al. 2014) |
|---|---|---|---|---|---|---|
| Homa Bay | Not marginalised | 48.4% | Rural agrarian | Nyanza | 60.4% | 53.7% |
| Kajiado | Not marginalised | 38.0% | Rural nomadic | Rift Valley | 63.2% | 48.9% |
| Kituib | Not marginalised | 60.4% | Rural agrarian | Eastern | 46.2% | 52.7% |
| Kwale | Marginalised | 70.7% | Rural agrarian | Coast | 50.1% | 82.0% |
| Marsabita | Marginalised | 75.8% | Rural nomadic | Eastern | 25.8% | 66.6% |
| Meru | Not marginalised | 31.0% | Rural agrarian | Eastern | 82.8% | 78.3% |
| Nairobib | Not marginalised | 21.8% | Urban | Nairobi | 89.1% | 60.4% |
| Nyeri | Not marginalised | 27.6% | Rural agrarian | Central | 88.1% | 77.8% |
| Turkana | Marginalised | 87.5% | Rural nomadic | Rift Valley | 22.8% | 56.7% |
| Vihiga | Not marginalised | 38.9% | Rural agrarian | Western | 50.3% | 90.9% |
| National average | 45.2% | 61.8% | 67.5% |
1. Kenya National Bureau of Statistics. Economic Survey. Nairobi, Kenya; 2014
2. Kenya National Bureau of Statistics, Ministry of Health, National AIDS Control Council, Kenya Medical Research Institute, National Council for Population and Development. Kenya Demographic and Health Survey: Key Indicators. Nairobi, Kenya; 2014
3. Counties considered marginalised are those which receive the additional equalisation fund for the fourteen most marginalised counties in the country
aInterviews also carried out with health workers from sub-county, health facility and community level
b Interviews also carried out with health workers from sub-county, health facility and community level and interviews with CHVs, CHEWs, their supervisors and FGDs with community members
Fig. 1UHC and equity of access. Effective coverage for all health needs as a result of supply and demand ‘fit’. Source page 15, Frenz and Vega, 2010