The public sector nursing workforce in Kenya: a county-level analysis

Table 1 Correlation analysis between public sector nurse densities and selected county indicators

Indicator against nurse density	r_s ^a(P value)	r_s ^a(P value)
(n = 47)	(excluding tertiary level nurses)	(including tertiary level nurses)
Urbanization	0.1321 (0.3760)	0.3110 (0.0334)
Poverty rate	−0.2133 (0.1500)	−0.3250 (0.0258)
Health spending per capita	0.4263 (0.0028)	^b
Immunization rates	0.4444 (0.0018)	0.4120 (0.0040)
Delivery care provided by a skilled provider	−0.0224 (0.8812)	0.0988 (0.5086)

^ar_s – Spearman’s correlation coefficient.
^bExcluded since the tertiary national hospitals mainly utilize central funding separate from the national government hence their corresponding expenditure is not captured in the county level health spending per capita indicator.
The table shows the spearman’s correlation coefficients based on correlation analysis of five selected indicators and the public sector nursing densities (both with and without nurses deployed in tertiary centers) across the 47 counties, as well as the associated P values for the correlation coefficients.

ISSN: 1478-4491