|Variation in quality of primary-care services in Kenya, Malawi, Namibia, Rwanda, Senegal, Uganda and the United Republic of Tanzania|
||Margaret E Kruk, Adanna Chukwum, Godfrey Mbaruku, and Hannah H Leslie
||Bulletin of the World Health Organization, 95(6): 408–418; DOI: 10.2471/BLT.16.175869
Health care utilization
Multiple African Countries
To analyse factors affecting variations in the observed quality of antenatal and sick-child care in primary-care facilities in seven African countries.
We pooled nationally representative data from service provision assessment surveys of health facilities in Kenya, Malawi, Namibia, Rwanda, Senegal, Uganda and the United Republic of Tanzania (survey year range: 2006–2014). Based on World Health Organization protocols, we created indices of process quality for antenatal care (first visits) and for sick-child visits. We assessed national, facility, provider and patient factors that might explain variations in quality of care, using separate multilevel regression models of quality for each service.
Data were available for 2594 and 11 ?402 observations of clinical consultations for antenatal care and sick children, respectively. Overall, health-care providers performed a mean of 62.2% (interquartile range, IQR: 50.0 to 75.0) of eight recommended antenatal care actions and 54.5% (IQR: 33.3 to 66.7) of nine sick-child care actions at observed visits. Quality of antenatal care was higher in better-staffed and -equipped facilities and lower for physicians and clinical officers than nurses. Experienced providers and those in better-managed facilities provided higher quality sick-child care, with no differences between physicians and nurses or between better- and less-equipped clinics. Private facilities outperformed public facilities. Country differences were more influential in explaining variance in quality than all other factors combined.
The quality of two essential primary-care services for women and children was weak and varied across and within the countries. Analysis of reasons for variations in quality could identify strategies for improving care.