dc.contributor.author |
Waudo, Agnes |
|
dc.contributor.author |
Todd, Jim |
|
dc.contributor.author |
Kiriinya, Rose |
|
dc.contributor.author |
Ochieng, Jacob |
|
dc.contributor.author |
Mbindyo, Patrick |
|
dc.contributor.author |
Wakaba, Mabel |
|
dc.date.accessioned |
2017-03-06T08:53:52Z |
|
dc.date.available |
2017-03-06T08:53:52Z |
|
dc.date.issued |
20-03-06 |
|
dc.identifier.citation |
Wakaba et al.: The public sector nursing workforce in Kenya: a county-level analysis. Human Resources for Health 2014 12:6. |
en_US |
dc.identifier.uri |
http://www.human-resources-health.com/content/12/1/6 |
|
dc.identifier.uri |
http://hdl.handle.net/123456789/2743 |
|
dc.description.abstract |
Background: Kenya’s human resources for health shortage is well documented, yet in line with the new
constitution, responsibility for health service delivery will be devolved to 47 new county administrations. This work
describes the public sector nursing workforce likely to be inherited by the counties, and examines the relationships
between nursing workforce density and key indicators.
Methods: National nursing deployment data linked to nursing supply data were used and analyzed using statistical
and geographical analysis software. Data on nurses deployed in national referral hospitals and on nurses deployed
in non-public sector facilities were excluded from main analyses. The densities and characteristics of the public
sector nurses across the counties were obtained and examined against an index of county remoteness, and the
nursing densities were correlated with five key indicators.
Results: Of the 16,371 nurses in the public non-tertiary sector, 76% are women and 53% are registered nurses, with
35% of the nurses aged 40 to 49 years. The nursing densities across counties range from 1.2 to 0.08 per 1,000 population.
There are statistically significant associations of the nursing densities with a measure of health spending per capita
(P value = 0.0028) and immunization rates (P value = 0.0018). A higher county remoteness index is associated with
explaining lower female to male ratio of public sector nurses across counties (P value <0.0001).
Conclusions: An overall shortage of nurses (range of 1.2 to 0.08 per 1,000) in the public sector countrywide is
complicated by mal-distribution and varying workforce characteristics (for example, age profile) across counties.
All stakeholders should support improvements in human resources information systems and help address
personnel shortages and mal-distribution if equitable, quality health-care delivery in the counties is to be
achieved. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Wakaba et al. Human Resources for Health |
en_US |
dc.subject |
Kenya |
en_US |
dc.subject |
County, |
en_US |
dc.subject |
Human resources for health, |
en_US |
dc.subject |
Public sector, |
en_US |
dc.subject |
Nurses, |
en_US |
dc.subject |
JKUAT |
en_US |
dc.title |
The public sector nursing workforce in Kenya: a county-level analysis |
en_US |
dc.type |
Article |
en_US |