Evidence map›Paper›PMID 36794253›Full record

ArticleBioMed research international2023

Community-Driven Family Planning in Urban Slums: Results from Rawalpindi, Pakistan.

Adnan Ahmad Khan, Taimoor Ahmad, Areesha Najam, Ayesha Khan

Abstract read
In one paragraph

Article in BioMed research international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

4 authors.

Adnan Ahmad KhanResearch and Development Solutions (RADS), Islamabad, Pakistan.ORCID https://orcid.org/0000-0002-3816-3943
Taimoor AhmadResearch and Development Solutions (RADS), Islamabad, Pakistan.ORCID https://orcid.org/0000-0002-1648-2353
Areesha NajamAkhter Hameed Khan Foundation (AHKF), Islamabad, Pakistan.ORCID https://orcid.org/0000-0002-7784-7993
Ayesha KhanAkhter Hameed Khan Foundation (AHKF), Islamabad, Pakistan.ORCID https://orcid.org/0000-0003-4376-6172

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pakistan's contraceptive prevalence rate (CPR) has remained static (less than 1% annual increase since 2006) due to several demand and supply issues. The Akhter Hameed Khan Foundation implemented a community-driven, demand-generation intervention with complementary supply side family planning (FP) services in a large urban informal settlement in Rawalpindi, Pakistan. Methods: The intervention recruited local women as outreach workers called Aapis (sisters), who conducted household outreach and provided counseling, contraceptives, and referrals. Program data were used to guide in-program corrections, identify the most willing to use married women of reproductive age (MWRA), and target specific geographic locations. The evaluation compared results from two surveys. The baseline survey included 1485 MWRA while the endline included 1560 MWRA that were sampled using the same methodology. A logit model was used with survey weights and clustered standard errors, to estimate the odds of using a contraceptive method. Results: CPR in Dhok Hassu increased from 33% at the baseline to 44% at endline. Long-acting reversible contraceptives (LARCs) usage increased from 1% at baseline to 4% at endline. Increase in CPR is correlated with increasing number of children and education of MWRA and is the highest between the ages of 25 and 39 and for working women. Qualitative evaluation of the intervention provided lessons about in-program corrections using data and empowerment of the female outreach workers and MWRA. Conclusion: The

Indexed as

Family Planning ServicesPoverty AreasAdultChildContraceptive AgentsEcosystemFemaleHumansPakistanContraceptive Agents

Identifiers

PMID36794253
PMCPMC9925254

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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.