Abstract

BackgroundAn effective referral system is critical to ensuring access to appropriate and timely healthcare services. In pluralistic healthcare systems such as Bangladesh, referral inefficiencies due to distance, diversion to inappropriate facilities and unsuitable hours of service are common, particularly for the urban poor. This study explores the reported referral networks of urban facilities and models alternative scenarios that increase referral efficiency in terms of distance and service hours.MethodsRoad network and geo-referenced facility census data from Sylhet City Corporation were used to examine referral linkages between public, private and NGO facilities for maternal and emergency/critical care services, respectively. Geographic distances were calculated using ArcGIS Network Analyst extension through a “distance matrix” which was imported into a relational database. For each reported referral linkage, an alternative referral destination was identified that provided the same service at a closer distance as indicated by facility geo-location and distance analysis. Independent sample t-tests with unequal variances were performed to analyze differences in distance for each alternate scenario modelled.ResultsThe large majority of reported referrals were received by public facilities. Taking into account distance, cost and hours of service, alternative scenarios for emergency services can augment referral efficiencies by 1.5–1.9 km (p < 0.05) compared to 2.5–2.7 km in the current scenario. For maternal health services, modeled alternate referrals enabled greater referral efficiency if directed to private and NGO-managed facilities, while still ensuring availability after working-hours. These referral alternatives also decreased the burden on Sylhet City’s major public tertiary hospital, where most referrals were directed. Nevertheless, associated costs may be disadvantageous for the urban poor.ConclusionsFor both maternal and emergency/critical care services, significant distance reductions can be achieved for public, NGO and private facilities that avert burden on Sylhet City’s largest public tertiary hospital. GIS-informed analyses can help strengthen coordination between service providers and contribute to more effective and equitable referral systems in Bangladesh and similar countries.

Highlights

  • An effective referral system is critical to ensuring access to appropriate and timely healthcare services

  • This study focused on two groups of services for which timely referral is important: (i) emergency and critical care services such as trauma, burn injury, heart disease, stroke, as well as facilities like Intensive Care Unit (ICU), Newborn Intensive Care Unit (NICU) and Coronary Care Unit (CCU), and (ii) Maternal health services including Emergency Obstetric Care (EmOC), Normal Vaginal Delivery (NVD), and Caesarian Section delivery (C-section)

  • Consistent with previous research, service costs in public facilities were substantially lower than both Non-Governmental Organization (NGO) and private facilities, NGO services were approximately half the cost of those in private facilities and the largest cost variations occurred in formal private sector facilities [41]

Read more

Summary

Introduction

An effective referral system is critical to ensuring access to appropriate and timely healthcare services. In Bangladesh, the largely unregulated private sector accounts for approximately 90% of health facilities in urban areas [6], with attendant consequences for cost, equity of access and quality of care provided [7,8,9]. Navigating this complex pluralistic healthcare landscape in a manner that ensures timely access to appropriate and affordable services is not straightforward, nor is there an organized referral system in place to assist [10]. Referral inefficiencies have been linked to excessive distance from facilities, unsuitable hours of operation, by-passing lower level hospitals and the inappropriate diversion of patients by middle men or dalals [7, 12,13,14]

Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.