Determinants of Maternal Satisfaction with the Quality of Childbirth Services in a University Hospital in Kumasi, Ghana: A Cross‐Sectional Study
Year: 2022
Type: article
Study design: Observational Study
Abstract: Introduction. Rendering quality childbirth services that lead to higher levels of maternal satisfaction is an important goal of every health institution. Despite efforts at enhanced client satisfaction over the years, there are still some quality concerns for health policymakers and managers to address. This study sought to assess maternal satisfaction with childbirth services at a university hospital in Kumasi, Ghana. Methods. We conducted a facility‐based cross‐sectional study among women in postnatal wards after delivery at the University Hospital, Kwame Nkrumah University of Science and Technology. They were recruited using a systematic sampling method, and their perspective about the quality of childbirth services was assessed using a service quality (SERVQUAL) tool. Linear regression analysis was performed to identify the relationship between SERVQUAL attributes and maternal satisfaction. Statistical significance was set at p value < 0.05 at a 95% confidence interval. Results. Of the 277 participants interviewed, 79.8% (221) were satisfied with the childbirth services. Delays (49.5%), unprofessional conduct from health workers (7.2%), poor facilities (10.8%), and an inadequate number of skilled staff (15.5%) were identified as the challenges mothers encountered at the facility. After adjusting for all the components of the SERVQUAL model, reliability (adjusted β = −3.28, p = 0.001) and empathy (adjusted β = 2.21, p = 0.028) were the most significant predictors of maternal satisfaction with childbirth services. Conclusion. Majority of postnatal women were generally satisfied with the overall childbirth services they received at the University Hospital. The service quality components that significantly predicted maternal satisfaction with childbirth services were “reliability” and “empathy.”
Source: BioMed Research International
DOI: 10.1155/2022/9984113
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $2,680
OpenAlex ID: W4311649028
