Citizens’ feedback on health service and the responses of health authorities of Bangladesh: An analysis of the Grievance Redress System
Md Abdullah Saeed Khan,
Md Toufiq Hassan Shawon and
Atonu Rabbani
PLOS Digital Health, 2025, vol. 4, issue 7, 1-12
Abstract:
Developing nations like Bangladesh face unique challenges in healthcare delivery system due to resource constraints, making it crucial to assess the responsiveness of healthcare authorities to citizen feedback. This study utilized data from the Ministry of Health and Family Welfare’s (MOHFW) Grievance Redress System (GRS) in Bangladesh, collected from January 1st to August 8th, 2023. A total of 11,604 anonymous messages received from health service takers were retrieved and analyzed. Kaplan-Meier analysis, and log-rank tests were conducted to assess feedback response times. Feedback were mainly complaints (60.33%), followed by compliments (22.03%) and suggestions (14.48%). Complaints were primarily related to the health workforce, infrastructure, and service utilization. Responses included forwarding (67.02%) to the relevant department, closure (30.12%), resolution (2.55%), pending (0.05%), and overdue (0.25%). The median response time was 3.48 hours (IQR: 1.26 – 13.00). Kaplan-Meier analysis revealed that moderate and major complaints were significantly less likely to be resolved than minor complaints (p
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/digitalhealth/article?id=10.1371/journal.pdig.0000967 (text/html)
https://journals.plos.org/digitalhealth/article/fi ... 00967&type=printable (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:plo:pdig00:0000967
DOI: 10.1371/journal.pdig.0000967
Access Statistics for this article
More articles in PLOS Digital Health from Public Library of Science
Bibliographic data for series maintained by digitalhealth ().