Evidence map›Paper›PMID 36217169›Full record

ArticleConflict and health2022

Community-based referral transportation system for accessing emergency obstetric services in the Rohingya refugee camp during the COVID-19 pandemic in Bangladesh: facilitators and barriers through beneficiaries' and providers' lens using a mixed-method design.

Mrittika Barua, Sayantan Chowdhury, Avijit Saha, Chand Mia, Stenly Hely Sajow, Malabika Sarker

Open access · goldAbstract read
In one paragraph

Article in Conflict and health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Mrittika BaruaBRAC James P. Grant School of Public Health, Dhaka, Bangladesh. mrittika@bracu.ac.bd.
Sayantan ChowdhuryUnited Nations Populations Fund, New York, USA.
Avijit SahaBRAC James P. Grant School of Public Health, Dhaka, Bangladesh.
Chand MiaBRAC James P. Grant School of Public Health, Dhaka, Bangladesh.
Stenly Hely SajowUnited Nations Populations Fund, New York, USA.
Malabika SarkerBRAC James P. Grant School of Public Health, Dhaka, Bangladesh.
United Nations Population Fund · USHeidelberg University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDelays in seeking timely maternity care from health care professionals are crucial to address among the Rohingya population where many preventable pregnancy-related deaths occur within the camps when care is not sought. To address the challenges related to the referral of emergency and routine Sexual and Reproductive Health and Rights (SRHR) cases, United Nations Population Fund, through its partners, implemented a community-based referral transportation project called Referral hub. This paper presents the barriers and facilitators to the implementation of this referral transportation system from the perspectives of the beneficiaries and providers.

methodsThe research adopted a sequential explanatory mixed-method design. The quantitative phase consisted of a survey among 100 women while the qualitative phase comprised of in-depth interviews with a total of 12 mothers who used the services and key informant interviews with 21 providers.

resultsThe barriers identified for referral hub are discordant understanding of emergency, strict gender norms and practices, distrust in providers, poor roads and mobile phone networks. The facilitators are partnership with the community, within and other organizations.

conclusionThe study observed that the referral hub has a high potential to increase the utilization of SRHR services. Despite the barriers, the facilitating factors show a scope of improvement for these services.

Indexed as

BangladeshReferral transportationRohingyaSecond delaySexual and reproductive health

Identifiers

PMID36217169
PMCPMC9549832
OpenAlexW4304014167

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.