Evidence map›Paper›PMID 25925407›Full record

ArticleBMC pregnancy and childbirth2015

Impact of a community-based perinatal and newborn preventive care package on perinatal and neonatal mortality in a remote mountainous district in Northern Pakistan.

Zahid A Memon, Gul N Khan, Sajid B Soofi, Imam Y Baig, Zulfiqar A Bhutta

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02412293 (Community-based Perinatal and Newborn Care in Gilgit District, Northern Areas, Pakistan), which is not on this map. Cited by 39 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 7 pooled it
9.2field-weighted citation impact, top 3% 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.

NCT02412293 nacompletednot on this map

Community-based Perinatal and Newborn Care in Gilgit District, Northern Areas, Pakistan: an AKU-AKHSP Collaboration

TypeinterventionalSponsorAga Khan UniversityRan2001 to 2007Enrolled3,200ConditionsPerinatal Problems, Still Births, Neonatal DeathsArmsHealth Education & Promotion, Training of Health Workers, Community Mobilization
3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 7 syntheses or guidelines pooled it, 67 citations in OpenAlex.

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  7. Assessment and support during early labour for improving birth outcomes.The Cochrane database of systematic reviews · 2017
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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

5 authors at 3 institutions in 2 countries.

Zahid A MemonGreenstar Social Marketing, Karachi, Pakistan. zahid.memon@gmail.com.
Gul N KhanDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan. gul.nawaz@aku.edu.
Sajid B SoofiDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan. sajid.soofi@aku.edu.
Imam Y BaigAga Khan Health Services, Northern Areas, Gilgit-Baltistan, Pakistan. imamyar.baig@akhsp.org.
Zulfiqar A BhuttaCentre of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan. zulfiqar.bhutta@aku.edu.
Aga Khan University · PKAga Khan Development Network · PKGreenwich University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited evidence from community-based interventions to guide the development of effective maternal, perinatal and newborn care practices and services in developing countries. We evaluated the impact of a low-cost package of community-based interventions implemented through government sector lady health workers (LHWs) and community health workers (CHWs) of a NGO namely Aga Khan Health Services on perinatal and neonatal outcomes in a sub-population of the remote mountainous district of Gilgit, Northern Pakistan.

methodsThe package was evaluated using quasi experimental design included promotion of antenatal care, adequate nutrition, skilled delivery and healthy newborn care practices. Control areas continued to receive the routine standard health services. The intervention areas received intervention package in addition to the routine standard health services. Outcome measures included changes in maternal and newborn-care practices and perinatal and neonatal mortality rates between the intervention and control areas.

resultsThe intervention was implemented in a population of 283324 over a 18 months period. 3200 pregnant women received the intervention. Significant improvements in antenatal care (92% vs 76%, p < .001), TT vaccination (67% vs 47%, p < .001), institutional delivery (85% vs 71%, p < .001), cord application (51% vs 71%, p < .001), delayed bathing (15% vs 43%, p < .001), colostrum administration (83% vs 64%, p < .001), and initiation of breastfeeding within 1 hour after birth (55% vs 40%, p < .001) were seen in intervention areas compared with control areas. Our results indicate significant reductions in mortality rates in intervention areas as compared to control areas from baseline in perinatal mortality rate (from 47.1 to 35.3 per 1000 births, OR 0.62; 95% CI: 0.56-0.69; P 0.02) and neonatal mortality rates (from 26.0 to 22.8 per 1000 live births, 0.58; 95% CI: 0.48-0.68; P 0.03).

conclusionsThe implementation of a set of low cost community-based intervention package within the health system settings in a mountainous region of Pakistan was found to be both feasible and beneficial. The interventions had a significant impact in reduction of the burden of perinatal and neonatal mortality.

trial registrationThis study is registered, ClinicalTrial.gov NCT02412293 .

Indexed as

Infant MortalityPerinatal MortalityAdultDeveloping CountriesFemaleHumansInfantInfant, NewbornMalePakistanPerinatal CarePregnancyPregnancy OutcomePreventive Health ServicesRural Health Services

Identifiers

PMID25925407
PMCPMC4446857
OpenAlexW2048575523

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.