The effect of the capitation policy withdrawal on maternal health service provision in Ashanti Region, Ghana: an interrupted time series analysis.

BACKGROUND: Payment methods are known to influence maternal care delivery in health systems. Ghana suspended a piloted capitation provider payment system after nearly five years of implementation. This study aimed to examine the effects of Ghana's capitation policy on maternal health care provision as part of lesson learning and bridging this critical literature gap. METHODS: We used secondary data in the District Health Information Management System-2 and an interrupted time series design to assess changes in level and trend in the provision of ANC4+ (visits of pregnant women making at least the fourth antenatal care attendance per month), HB36 (number of hemoglobin tests conducted for pregnant women who are at the 36th week of gestation) and vaginal delivery in capitated facilities-CHPS (Community-based Health Planning and Services) facilities and hospitals. RESULTS: The results show that the capitation policy withdrawal was associated with a statistically significant trend increase in the provision of ANC4+ in hospitals (coefficient 70.99 p < 0. 001) but no effect in CHPS facilities. Also, the policy withdrawal resulted in contrasting effects in hospitals and CHPS in the trend of provision of Hb36; a statistically significant decline was observed in CHPS (coefficient - 7.01, p < 0.05) while that of hospitals showed a statistically significant trend increase (coefficient 32.87, p < 0.001). Finally, the policy withdrawal did not affect trends of vaginal delivery rates in both CHPS and hospitals. CONCLUSIONS: The capitation policy in Ghana appeared to have had a differential effect on the provision of maternal services in both CHPS and hospitals; repressing maternal care provision in hospitals and promoting adherence to anemia testing at term for pregnant women in CHPS facilities. Policy makers and stakeholders should consider the possible detrimental effects on maternal care provision and quality in the design and implementation of per capita primary care systems as they can potentially impact the achievement of SDG 3.

The effects of Ghana's capitation policy on hospital Under-5 mortality in the Ashanti Region.

Objective: The study estimated the capitation policy's effect on the under-5 mortality (U5MR) rate in hospitals in Ashanti Region. Design: We used an interrupted time series design to estimate the impact from secondary data obtained from the DHIMS-2 database. Monthly under-5 deaths and the number of live births per month were extracted and entered into Stata 15.0 for analyses. The U5MR was calculated by dividing the number of live deaths by the number of live births for each of the 60 months of the study. Setting: Health facilities of the Ashanti Region with Data in the DHIMS 2. Intervention: the level and trend of U5MR for 31 months during the Capitation Policy implementation (January 2015 to July 2017) were compared with the level and trend 29 months after the withdrawal of the capitation policy (August 2017 to December 2019). Outcome measures: changes in trend or level of U5MR after the withdrawal of capitation. Main Results: During the capitation policy, monthly U5MR averaged 10.71 +/-2.71 per 1000 live births. It declined to 0.03 deaths per 1000 live births (p=0.65). After the policy withdrawal, the immediate (increase of 0.01 per 1000live births) and the trend (decline of 0.13 deaths per 1000 live births per month) were still not statistically significant. Conclusion: We conclude that the capitation policy did not appear to have influenced under-5 mortality in the Ashanti Region. The design of future healthcare payment models should target quality improvement to reduce under-5 mortalities. Funding: None declared.

The effects of Ghana's capitation policy on hospital Under-5 mortality in the Ashanti Region

Objective: The study estimated the capitation policy's effect on the under-5 mortality (U5MR) rate in hospitals in Ashanti Region. Design: We used an interrupted time series design to estimate the impact from secondary data obtained from the DHIMS-2 database. Monthly under-5 deaths and the number of live births per month were extracted and entered into Stata 15.0 for analyses. The U5MR was calculated by dividing the number of live deaths by the number of live births for each of the 60 months of the study. Setting: Health facilities of the Ashanti Region with Data in the DHIMS 2. Intervention: the level and trend of U5MR for 31 months during the Capitation Policy implementation (January 2015 to July 2017) were compared with the level and trend 29 months after the withdrawal of the capitation policy (August 2017 to December 2019). Outcome measures: changes in trend or level of U5MR after the withdrawal of capitation. Main Results: During the capitation policy, monthly U5MR averaged 10.71 +/-2.71 per 1000 live births. It declined to 0.03 deaths per 1000 live births (p=0.65). After the policy withdrawal, the immediate (increase of 0.01 per 1000live births) and the trend (decline of 0.13 deaths per 1000 live births per month) were still not statistically significant. Conclusion: We conclude that the capitation policy did not appear to have influenced under-5 mortality in the Ashanti Region. The design of future healthcare payment models should target quality improvement to reduce under-5 mortalities