Evidence map›Paper›PMID 39772287›Full record

ArticleJournal of global health2022

Newborn signal functions in Bangladesh: Identification through expert consultation and assessment of readiness among public health facilities.

Shema Mhajabin, Goutom Banik, Muhammad Shariful Islam, Md Jahurul Islam, Tazeen Tahsina, Farid Uddin Ahmed, Mushair Ul Islam, Md Abdul Mannan, Sanjoy Kumer Dey, Samina Sharmin and 12 more

Abstract read
In one paragraph

Article in Journal of global health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

22 authors.

Shema Mhajabin *Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Goutom Banik *Maternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Muhammad Shariful IslamDirectorate General of Health Services, Government of Bangladesh Ministry of Health and Family Welfare, Bangladesh.
Md Jahurul IslamDirectorate General of Health Services, Government of Bangladesh Ministry of Health and Family Welfare, Bangladesh.
Tazeen TahsinaMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Farid Uddin AhmedDirectorate General of Family Planning, Ministry of Health & Family Welfare, Bangladesh.
Mushair Ul IslamDirectorate General of Health Services, Government of Bangladesh Ministry of Health and Family Welfare, Bangladesh.
Md Abdul MannanBangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Sanjoy Kumer DeyBangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh.
Samina SharminUnicef, Dhaka, Bangladesh.
Fida MehranUSAID, Dhaka, Bangladesh.
Mahbuba KhanWorld Health Organization, Dhaka, Bangladesh.
Anisuddin AhmedMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Ahmed Al SabirRTM International, Dhaka, Bangladesh.
Shahin SultanaNational Institute of Population Research and Training, Dhaka, Bangladesh.
Ziaul AhsanIpas, Dhaka, Bangladesh.
Sayed RubayetIpas, Dhaka, Bangladesh.
Joby GeorgeSave the Children, Dhaka, Bangladesh.
Afsana KarimSave the Children, Dhaka, Bangladesh.
Muhammad ShahidullahNational Technical Working Committee, Newborn Health, Bangladesh.
Shams El ArifeenMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
Ahmed Ehsanur RahmanMaternal and Child Health Division, International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.

Funding

World Health Organization 001
6 · The paper itself

Abstract

Background: This study aimed to identify a set of newborn signal functions (NSFs) that can categorize health facilities and assist policymakers and health managers in appropriately planning and adequately monitoring the progress and performance of health facilities delivering newborn health care in Bangladesh and similar low-income settings. Methods: A modified Delphi method was used to identify a set of NSFs and a cross-sectional health facility assessment among the randomly selected facilities was conducted to test them in public health facilities in Bangladesh. In the modified Delphi approach, three main steps of listing, prioritizing, and testing were followed to identify the set of NSFs. Then, to finalize the set of NSFs and its variables, a total of five Delphi workshops and three rounds of Delphi surveys were conducted. Finally, 205 public health facilities located in 41 randomly selected districts were assessed for the availability and readiness of finalized NSFs using the updated tool of Bangladesh Health Facility Survey (BHFS) 2017. Results: Twenty NSFs were identified and finalized, nine of which were categorized as primary NSFs, 13 as basic NSFs, 18 as comprehensive NSFs, and 20 as advanced NSFs. Almost all district hospitals (DHs), Upazila health complexes (UHCs,) and maternal and child welfare centres (MCWCs) performed the primary NSFs in the last three months. However, around one-third of the union health and family welfare centres (UH&FWCs) and very few community clinics (CCs) performed them during the same period. The basic, comprehensive, and advanced NSF readiness was inadequate and inappropriate across all types of facilities, including DHs and UHCs. Conclusions: In the absence of internationally or nationally agreed-upon NSFs to measure a health facility's service availability and readiness for providing newborn care, this study becomes the first to identify and finalize a set of NSFs and to incorporate relevant variables in the health facility assessment tool which can be used to monitor the availability and readiness of a newborn care facility. The identified NSFs can also be adapted for the countries with similar contexts and can serve as a standard base to determine a global set of NSFs.

Identifiers

PMID39772287
PMCPMC9480864

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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.