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

Strengthening quality of acute care through feedback from patients in Ghana

Introduction :Quality of acute care has attracted attention in recent years with policy initiatives in Ghana. Such initiatives need to be complemented with patient feedback systems for strengthening quality. Therefore the goal of this study is to examine factors associated with quality of acute care and to propose a range of options for improving the existing model of healthcare delivery. Methods: Cross-sectional data were collected from 379 patients presenting to emergency centres in five public health facilities. A structured questionnaire developed based on the literature and expert advice by physicians and nurses was used to collect data. Principal component analysis (PCA) was used to extract the factors salient to patients' perspective of quality of care. Logistic regression was then used to examine association between these factors and overall quality of acute care. Results :The majority of the patients (17.2) presented with obstetrical related conditions; 15 with Road Traffic Accidents (RTAs); 11.3 with diarrhoea related problems and the least number (8.4) with bronchial asthma. The average days of admission was high for patients with bronchial asthma (mean = 9); RTA (mean = 8) and burns (means = 7). The PCA produced four factors of quality (interpersonal care; prompt care; physical environment and privacy; drugs and equipment) all of which had a positive statistically significant association with overall quality of acute care after controlling for patient's socio-demographic characteristics.Conclusion Study findings provide important feedback not only for optimising clinical operations but also for improving in-hospital quality of acute care with short-term and long-term approaches