Evidence map›Paper›PMID 35138199›Full record

ArticleEthnicity & health2023

Predicting adoption of colorectal cancer screening among Korean Americans using a decision tree model.

Seok Won Jin, Christina Soyoung Song

Abstract read
In one paragraph

Article in Ethnicity & health, 2023. 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
  2. Review
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

2 authors.

Seok Won JinSchool of Social Work, The University of Memphis, Memphis, TN, USA.ORCID 0000-0003-1991-9335
Christina Soyoung SongDepartment of Family and Consumer Sciences, Fashion Design and Merchandising, Illinois State University, Normal, IL, USA.ORCID 0000-0003-2031-5694

Funding

TCC for Health Disparties: Informing & Influencing Health Policy and PracticeU54MD008173 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI SATCHER, DAVID · 2012 to 2016
$13.4M
NIMHD NIH HHS U54 MD008173
6 · The paper itself

Abstract

backgroundColorectal cancer screening (CRCS) rates remain suboptimal among Korean Americans despite recommendations from health organizations. Little is known about the mechanism underlying their CRCS adoption within complex systems. This study aimed to examine the multi-level predictors of CRCS adoption among Korean Americans using a decision tree model.

methodsA cross-sectional survey was performed to assess CRCS adoption and multiple levels of influence - individual (i.e. CRCS self-efficacy, CRCS attitudes, risk of colorectal cancer, psychological distress, health status), interpersonal (i.e. social support, social networks, CRCS recommendations), and organizational/community (i.e. health insurance, primary doctor, primary clinic) factors. A total of 433 Korean Americans aged 50-75 in a metropolitan area in the Southeastern U.S. completed a self-report questionnaire. To determine the important variables that predict CRCS adoption, the study generated a decision tree predictive model using R statistical software.

resultsThe results indicated that CRCS self-efficacy and CRCS attitudes at the individual level and CRCS recommendations and social support at the interpersonal level differentiate adopting or not adopting CRCS. Furthermore, CRCS recommendations (

conclusionThe findings highlight the critical roles of CRCS recommendations from healthcare providers and family/friends and patients' confidence in performing screening-related tasks in influencing CRCS adoption among Korean Americans. Practice efforts should target individual and interpersonal characteristics when developing interventions for promoting CRCS among Korean Americans, especially who are not adherent to screening guidelines.

Indexed as

AsianColorectal NeoplasmsCross-Sectional StudiesDecision TreesEarly Detection of CancerHumansMass ScreeningColorectal cancer screeningdecision tree modelKorean AmericansScreening adoptionsocial ecological model

Identifiers

PMID35138199
PMCPMC9360189

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.