Evidence map›Paper›PMID 33602118›Full record

ArticleBMC medical research methodology2021

Conducting household surveys on reproductive health in urban settings: lessons from Karachi, Pakistan.

Mir Baz Khan, Sidrah Nausheen, Imtiaz Hussain, Kristy Hackett, Kaneez Zehra, Khalid Feroze, David Canning, Iqbal Shah, Sajid Bashir Soofi

Abstract read
In one paragraph

Article in BMC medical research methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Mir Baz KhanDepartment of Pediatrics & Child Health, Center of Excellence in Women & Child Health, Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan.
Sidrah NausheenDepartment of Obstetrics & Gynecology, Aga Khan University, Karachi, Pakistan.
Imtiaz HussainDepartment of Pediatrics & Child Health, Center of Excellence in Women & Child Health, Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan.
Kristy HackettDepartment of Global Health, Harvard T.H. Chan School of Public Health, Boston, USA.
Kaneez ZehraDepartment of Pediatrics & Child Health, Center of Excellence in Women & Child Health, Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan.
Khalid FerozeDepartment of Pediatrics & Child Health, Center of Excellence in Women & Child Health, Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan.
David CanningDepartment of Global Health, Harvard T.H. Chan School of Public Health, Boston, USA.
Iqbal ShahDepartment of Global Health, Harvard T.H. Chan School of Public Health, Boston, USA.
Sajid Bashir SoofiDepartment of Pediatrics & Child Health, Center of Excellence in Women & Child Health, Aga Khan University, Stadium Road, PO Box 3500, Karachi, 74800, Pakistan. sajid.soofi@aku.edu.ORCID 0000-0003-4192-8406

Funding

anonymous donor 5105921_263681Harvard T.H. Chan School of Public Health (US) 5105921_263681
6 · The paper itself

Abstract

backgroundData collection is the most critical stage in any population health study and correctly implementing fieldwork enhances the quality of collected information. However, even the most carefully planned large-scale household surveys can encounter many context-specific issues. This paper reflected on our research team's recent experience conducting surveys for a quasi-experimental evaluation of a reproductive health program in urban areas of Karachi, Pakistan. We aim to describe the issues encountered and lessons learned from this process, and present some potential solutions for conducting future household surveys in similar urban environments.

methodsThe study followed a three-stage random sampling design. Initially, a Geographical Information System (GIS) was used to construct the sampling frame with union council (UC) area mapping and cluster demarcation followed by random selection of clusters in the selected UCs within the intervention and control sites. The second stage involved a complete household listing in selected clusters and the final stage was a random sampling of households with eligible women.

resultThis paper describes the issues that were encountered including technical problems related to GIS demarcation of cluster boundaries and hand-held devices for computer assisted personal interviews (CAPI), household listing, interviewing respondents on sensitive topics and their expectations, and ensuring privacy during the survey.

conclusionThis study identifies a number of unique barriers to conducting household surveys in Karachi and highlights some key lessons for survey research in urban settlements. GIS mapping technology is a cost-effective method for developing sampling frames in resource-constrained settings. Secondly, the strategy of interviewing women immediately after the cluster is listed may be applied to make it easier to re-locate selected respondents and to reduce loss-to-follow up. Understanding local norms and developing culturally appropriate strategies to build trust with communities may significantly improve survey participation. Researchers should hire experienced female enumerators and provide continuous training on best practices for interviewing women on sensitive reproductive health topics in urban communities.

Indexed as

Family CharacteristicsReproductive HealthFemaleGeographic Information SystemsHealth SurveysHumansPakistanSurveys and QuestionnairesChallengesHousehold surveysImplementationLoss-to-follow upSampling frame

Identifiers

PMID33602118
PMCPMC7890958

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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.