Effects of a participatory community quality improvement strategy on improving household and provider health care behaviors and practices: a propensity score analysis.

BACKGROUND: Maternal and newborn health care intervention coverage has increased in many low-income countries over the last decade, yet poor quality of care remains a challenge, limiting health gains. The World Health Organization envisions community engagement as a critical component of health care delivery systems to ensure quality services, responsive to community needs. Aligned with this, a Participatory Community Quality Improvement (PCQI) strategy was introduced in Ethiopia, in 14 of 91 rural woredas (districts) where the Last Ten Kilometers Project (L10 K) Platform activities were supporting national Basic Emergency Obstetric and Newborn Care (BEmONC) strengthening strategies. This paper examines the effects of the PCQI strategy in improving maternal and newborn care behaviors, and providers' and households' practices. METHODS: PCQI engages communities in identifying barriers to access and quality of services, and developing, implementing and monitoring solutions. Thirty-four intervention kebeles (communities), which included the L10 K Platform, BEmONC, and PCQI, and 82 comparison kebeles, which included the L10 K Platform and BEmONC, were visited in December 2010-January 2011 and again 48 months later. Twelve women with children aged 0 to 11 months were interviewed in each kebele. Propensity score matching was used to estimate the program's average treatment effects (ATEs) on women's care seeking behavior, providers' service provision behavior and households' newborn care practices. RESULTS: The ATEs of PCQI were statistically significant (p < 0.05) for two care seeking behaviors - four or more antenatal care (ANC) visits and institutional deliveries at 14% (95% CI: 6, 21) and 11% (95% CI: 4, 17), respectively - and one service provision behavior - complete ANC at 17% (95% CI: 11, 24). We found no evidence of an effect on remaining outcomes relating to household newborn care practices, and postnatal care performed by the provider. CONCLUSIONS: National BEmONC strengthening and government initiatives to improve access and quality of maternal and newborn health services, together with L10 K Platform activities, appeared to work better for some care practices where communities were engaged in the PCQI strategy. Additional research with more robust measure of impact and cost-effectiveness analysis would be useful to establish effectiveness for a wider set of outcomes.

The effect of implementation strength of basic emergency obstetric and newborn care (BEmONC) on facility deliveries and the met need for BEmONC at the primary health care level in Ethiopia.

BACKGROUND: Basic emergency obstetric and newborn care (BEmONC) is a primary health care level initiative promoted in low- and middle-income countries to reduce maternal and newborn mortality. Tailored support, including BEmONC training to providers, mentoring and monitoring through supportive supervision, provision of equipment and supplies, strengthening referral linkages, and improving infection-prevention practice, was provided in a package of interventions to 134 health centers, covering 91 rural districts of Ethiopia to ensure timely BEmONC care. In recent years, there has been a growing interest in measuring program implementation strength to evaluate public health gains. To assess the effectiveness of the BEmONC initiative, this study measures its implementation strength and examines the effect of its variability across intervention health centers on the rate of facility deliveries and the met need for BEmONC. METHODS: Before and after data from 134 intervention health centers were collected in April 2013 and July 2015. A BEmONC implementation strength index was constructed from seven input and five process indicators measured through observation, record review, and provider interview; while facility delivery rate and the met need for expected obstetric complications were measured from service statistics and patient records. We estimated the dose-response relationships between outcome and explanatory variables of interest using regression methods. RESULTS: The BEmONC implementation strength index score, which ranged between zero and 10, increased statistically significantly from 4.3 at baseline to 6.7 at follow-up (p < .05). Correspondingly, the health center delivery rate significantly increased from 24% to 56% (p < .05). There was a dose-response relationship between the explanatory and outcome variables. For every unit increase in BEmONC implementation strength score there was a corresponding average of 4.5 percentage points (95% confidence interval: 2.1-6.9) increase in facility-based deliveries; while a higher score for BEmONC implementation strength of a health facility at follow-up was associated with a higher met need. CONCLUSION: The BEmONC initiative was effective in improving institutional deliveries and may have also improved the met need for BEmONC services. The BEmONC implementation strength index can be potentially used to monitor the implementation of BEmONC interventions.