Evidence map›Paper›PMID 36790786›Full record

ArticleAmerican journal of epidemiology2023

Novel Methods for Leveraging Large Cohort Studies for Qualitative and Mixed-Methods Research.

Katie Truc Nhat H Nguyen, Jennifer J Stuart, Aarushi H Shah, Iris A Becene, Madeline G West, Jane Berrill, Bizu Gelaye, Christina P C Borba, Janet W Rich-Edwards

Abstract read
In one paragraph

Article in American journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

9 authors.

Katie Truc Nhat H Nguyen
Jennifer J Stuart
Aarushi H Shah
Iris A Becene
Madeline G West
Jane Berrill
Bizu Gelaye
Christina P C Borba
Janet W Rich-Edwards

Funding

GSH Training GrantT32HD049339 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Jennifer S Hirsch · 2006 to 2026
$3.4M
Female-Specific Risk Factors for CVD: The Impact of Adverse Pregnancy Outcomes on Subsequent Mental Health and CVD RiskK01HL159281 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI STUART, JENNIFER JACQUELINE · 2022 to 2024
$348k
NHLBI NIH HHS K01 HL159281NICHD NIH HHS T32 HD049339
6 · The paper itself

Abstract

Qualitative research methods, while rising in popularity, are still a relatively underutilized tool in public health research. Usually reserved for small samples, qualitative research techniques have the potential to enhance insights gained from large questionnaires and cohort studies, both deepening the interpretation of quantitative data and generating novel hypotheses that might otherwise be missed by standard approaches; this is especially true where exposures and outcomes are new, understudied, or rapidly changing, as in a pandemic. However, methods for the conduct of qualitative research within large samples are underdeveloped. Here, we describe a novel method of applying qualitative research methods to free-text comments collected in a large epidemiologic questionnaire. Specifically, this method includes: 1) a hierarchical system of coding through content analysis; 2) a qualitative data management application; and 3) an adaptation of Cohen's κ and percent agreement statistics for use by a team of coders, applying multiple codes per record from a large codebook. The methods outlined in this paper may help direct future applications of qualitative and mixed methods within large cohort studies.

Indexed as

Research DesignCohort StudiesHumansQualitative ResearchReproducibility of ResultsSurveys and QuestionnairesCOVID-19free-text commentsinterrater reliabilitylarge questionnairesmixed methodsqualitative data managementqualitative researchresearch methods

Identifiers

PMID36790786
PMCPMC10160766

What OpenQuestion holds

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Registered trials

None linked

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.