Evidence map›Paper›PMID 25445983›Full record

ArticleHealth promotion practice2015

Research challenges and lessons learned from conducting community-based research with the Hmong community.

Jennifer Kue, Sheryl Thorburn, Karen Levy Keon

Erratum issuedAbstract read
In one paragraph

Article in Health promotion practice, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jennifer KueThe Ohio State University, Columbus, OH, USA kue.2@osu.edu.
Sheryl ThorburnOregon State University, Corvallis, OR, USA.
Karen Levy KeonKeon Consultants, LLC, Corvallis, OR, USA.

Funding

Breast & Cervical Cancer Screening among Hmong: Social, Cultural & System FactorR21CA139147 · NCI · OREGON STATE UNIVERSITY · PI THORBURN, SHERYL · 2009 to 2010
$459k
NCI NIH HHS R21 CA139147NCI NIH HHS R21CA139147
6 · The paper itself

Abstract

backgroundConducting research with underserved communities with little exposure to research presents a number of challenges and opportunities. Our study used a community-based approach to better understand factors that influence breast and cervical cancer screening among Hmong women.

objectiveThis article shares lessons learned during the process of developing and conducting qualitative research with a Hmong community with limited experience with research.

methodWe conducted 17 key informant and 84 in-depth interviews with Hmong women and men. Research team discussions, insights from Hmong research team members, input from our Community Advisory Committee, and project documents were sources of information about the process of conducting research in this community.

resultsLessons learned concern including a cultural insider as an investigator; building community partnerships and support; establishing and working with a community advisory committee; hiring and training bilingual, bicultural staff; and using culturally appropriate materials and methods in a small, kinship-based community. We used multiple strategies to ensure that this study was conducted in a culturally appropriate manner.

conclusionThe lessons learned from our experiences can provide guidance to researchers on methodological and practical issues in conducting research with the Hmong and can inform future research with the Hmong and other similar underserved populations.

Indexed as

Community-Based Participatory ResearchEthnicityBreast NeoplasmsCultureEarly Detection of CancerFemaleHealth PromotionHealth Status DisparitiesHumansLaosMaleMultilingualismOregonUterine Cervical NeoplasmsAsianbreast cancercervical cancerqualitative research

Identifiers

PMID25445983
PMCPMC4409447

What OpenQuestion holds

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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.