Quality of care in six sub-Saharan Africa countries: a provider-based study on adherence to WHO's antenatal care guideline.

OBJECTIVE: Quality of care may help explain the high burden of disease in maternal, newborn and child health in low- and middle-income countries even as access to care is improved. We explored the determinants of quality of antenatal care (ANC) in sub-Saharan Africa (SSA). DESIGN: Cross-sectional study. Multilevel Generalized Linear Latent Mixed-Effect models with logit link function were employed to obtain the adjusted odds ratios (AORs) and 95% confidence interval (CI). SETTING: We used Service Provision Assessment data from six countries in SSA, including Kenya, Malawi, Namibia, Rwanda, Tanzania and Uganda. PARTICIPANTS: Seven thousand, five hundred and seventy seven observed antenatal clients across the six countries. MAIN OUTCOME MEASURES: Quality of ANC services, measured using indexes of quality of clinical care and quality of information provided. RESULTS: Providers in facilities that had ANC guideline (AOR = 1.26; 95% CI, 1.08-1.48), were well-equipped (AOR = 1.65; 95% CI, 1.41-1.92), were classified as upper level facility (AOR = 1.32; 95% CI, 1.05-1.66), had central electricity supply (AOR = 2.19; 95% CI, 1.81-2.65), and piped water (AOR = 1.30; 95% CI, 1.09-1.55) were more likely to provide optimal quality of clinical care. Moreover, those having ANC guideline (AOR = 1.81; 95% CI, 1.43-2.28) and central electricity supply (AOR = 2.67; 95% CI, 2.01-3.44) were more likely to provide optimal information as well. Provider's qualification and experience were also important in information provision and clinical care independently. CONCLUSION: The lack of some very basic facility equipment and amenities compromised quality of care in sub-Saharan countries. Policy actions and investment on facility and providers will enable provision of quality services necessary to improve maternal, newborn and child health in SSA.

Quality of maternity care and its determinants along the continuum in Kenya: A structural equation modeling analysis.

BACKGROUND: Improving access to delivery services does not guarantee access to quality obstetric care and better survival, and therefore, concerns for quality of maternal and newborn care in low- and middle-income countries have been raised. Our study explored characteristics associated with the quality of initial assessment, intrapartum, and immediate postpartum and newborn care, and further assessed the relationships along the continuum of care. METHODS: The 2010 Service Provision Assessment data of Kenya for 627 routine deliveries of women aged 15-49 were used. Quality of care measures were assessed using recently validated quality of care measures during initial assessment, intrapartum, and postpartum periods. Data were analyzed with negative binomial regression and structural equation modeling technique. RESULTS: The negative binomial regression results identified a number of determinants of quality, such as the level of health facilities, managing authority, presence of delivery fee, central electricity supply and clinical guideline for maternal and neonatal care. Our structural equation modeling (SEM) further demonstrated that facility characteristics were important determinants of quality for initial assessment and postpartum care, while characteristics at the provider level became more important in shaping the quality of intrapartum care. Furthermore we also noted that quality of initial assessment had a positive association with quality of intrapartum care (ß = 0.71, p < 0.001), which in turn was positively associated with the quality of newborn and immediate postpartum care (ß = 1.29, p = 0.004). CONCLUSIONS: A continued focus on quality of care along the continuum of maternity care is important not only to mothers but also their newborns. Policymakers should therefore ensure that required resources, as well as adequate supervision and emphasis on the quality of obstetric care, are available.