Prevalence and determinants of readiness of health facilities for quality antenatal care services in Bangladesh.

Autor: Nilima S; Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh. s.nilima@du.ac.bd., Sen KK; Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh., Fatima-Tuz-Zahura; Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh., Bari W; Department of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh.
Jazyk: angličtina
Zdroj: Journal of public health policy [J Public Health Policy] 2024 Dec; Vol. 45 (4), pp. 654-672. Date of Electronic Publication: 2024 Aug 15.
DOI: 10.1057/s41271-024-00514-0
Abstrakt: This study investigates the prevalence and determinants of readiness for quality antenatal care (ANC) services in Bangladesh using data from the 2017 Bangladesh Health Facility Survey (BHFS). We assessed the association between selected factors and the readiness index using multinomial logistic regression. We identified a significant gap in the availability and quality of ANC services, only 4.26% of health facilities provide quality ANC services, with rural facilities showing lower readiness compared to urban facilities (RRR:0.13; 95% CI: 0.06-0.31; p < 0.001). Community clinics and private hospitals have a lower likelihood of medium or high readiness compared to public hospitals or clinics. Health facilities with specialized care are more likely to demonstrate readiness for quality ANC services. Policy recommendations include increased healthcare funding, implementation of ANC guidelines, strengthened monitoring and evaluation of health facilities, and heightened community awareness. These measures should improve ANC, overall health outcomes, and public health policies.
Competing Interests: Declarations. Conflicts of interest: The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. Ethical approval and consent to participate: The survey used a freely available secondary survey dataset (BHFS, 2017) which is available online ( https://dhsprogram.com/data ). The survey was approved by the Ethics Committee of ICF Macro in Calverton, USA, and by the National Institute of Population Research and Training (NIPORT) in Bangladesh, and the authority was taken a permission from the participants i.e., facility in charge to participate in the survey (2017), and all participants signed in a consent form. Thus, ethical approval and consent to participate were automatically deemed unnecessary for the current study.
(© 2024. The Author(s), under exclusive licence to Springer Nature Limited.)
Databáze: MEDLINE
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