Evidence map›Paper›PMID 30626421›Full record

ArticleReproductive health2019

Exploring family, community and healthcare provider perceptions and acceptability for minimal invasive tissue sampling to identify the cause of death in under-five deaths and stillbirths in North India: a qualitative study protocol.

Manoja Kumar Das, Narendra Kumar Arora, Reeta Rasaily, Harish Chellani, Harsha Gaikwad, Kathryn Banke

Open access · goldAbstract read
In one paragraph

Article in Reproductive health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 17 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 4 institutions in 2 countries.

Manoja Kumar DasThe INCLEN Trust International, F1/5, Okhla Industrial Area, Phase 1, New Delhi, 110020, India. manoj@inclentrust.org.ORCID http://orcid.org/0000-0002-8559-5837
Narendra Kumar AroraThe INCLEN Trust International, F1/5, Okhla Industrial Area, Phase 1, New Delhi, 110020, India.
Reeta RasailyDivision of Reproductive Biology and Maternal Health, Child Health, Indian Council of Medical Research, Ansari Nagar, New Delhi, 110029, India.
Harish ChellaniDepartment of Pediatrics, Safdarjung Hospital & Vardhman Mahavir Medical College, New Delhi, 110029, India.
Harsha GaikwadDepartment of Obstetrics and Gynaecology, Safdarjung Hospital & Vardhman Mahavir Medical College, New Delhi, 110029, India.
Kathryn BankeGlobal Health, Bill and Melinda Gates Foundation, Seattle, WA, 98109, USA.
INCLEN Trust International · INVardhman Mahavir Medical College & Safdarjung Hospital · INGates Foundation · USIndian Council of Medical Research · IN

Funding

Bill and Melinda Gates Foundation OPP1184205
6 · The paper itself

Abstract

backgroundAround 5.4 million under-five deaths occur globally annually. Over 2.5 million neonatal deaths and an equivalent stillbirths also occur annually worldwide. India is largest contributor to these under-five deaths and stillbirths. To meet the National Health Policy goals aligned with sustainable development targets, adoption of specific strategy and interventions based on exact causes of death and stillbirths are essential. The current cause of death (CoD) labelling process is verbal autopsy based and subject to related limitations. In view of rare diagnostic autopsies, the minimally invasive tissue sampling (MITS) has emerged as a suitable alternate with comparable efficiency to determine CoD. But there is no experience on perception and acceptance for MITS in north Indian context. This formative research is exploring the perceptions and view of families, communities and healthcare providers regarding MITS to determine the acceptability and feasibility.

methodsThe cross-sectional study adopts exploratory qualitative research design. The study will be conducted in New Delhi linked to deaths and stillbirths occurring at a tertiary care hospital. The data from multiple stakeholders will be collected through 53-60 key-informant in-depth interviews (IDIs), 8 focus group discussions (FGDs) and 8-10 death or stillbirth event observations. The IDIs will be done with the parents, family members, community representatives, religious priests, burial site representatives and different health care providers. The FGDs will be conducted with the fathers, mothers, and elderly family members in the community. The data collection will focus on death, post-death rituals, religious practices, willingness to know CoD, acceptability of MITS and decision making dynamics. Data will be analysed following free listing, open coding, selective coding and theme identification. Subsequently 8-10 parents will be approached for consent to conduct MITS using the communication package to be developed using the findings. DISCUSSION: The study will provide in-depth understanding of the cultural, social, religious practices related to child death and stillbirth and factors that potentially determine acceptance of MITS. The findings will guide development of communication and counselling package and strategies for obtaining consent for MITS. The pilot experience on obtaining consent for MITS will inform suitable refinement and future practice.

Indexed as

AutopsyAdultAttitude of Health PersonnelAttitude to DeathCause of DeathChild MortalityChild, PreschoolCross-Sectional StudiesFamilyFemaleHumansIndiaInfantInfant MortalityMinimally Invasive Surgical ProceduresPregnancyAutopsyCauses of deathChildCommunityFamilyFormative researchHealth care providersMinimally invasive tissue samplingNeonateStillbirth

Identifiers

PMID30626421
PMCPMC6327493
OpenAlexW2917601221

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.