Evidence map›Paper›PMID 29927767›Full record

ArticleComputers, informatics, nursing : CIN2018

What to Consider in a Culturally Tailored Technology-Based Intervention?

Eun-Ok Im, Wonshik Chee, Yun Hu, Sangmi Kim, Hanna Choi, Yuko Hamajima, Eunice Chee

Abstract read
In one paragraph

Article in Computers, informatics, nursing : CIN, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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

7 authors.

Eun-Ok ImAuthor Affiliations: School of Nursing, Duke University (Drs Im, W. Chee, Hu, Kim, and Choi and Ms Hamajima), Durham, NC; Shanghai Jiao Tong University (Dr Hu), Shanghai, China; and School of Engineering, North Carolina State University (Ms Chee), Raleigh.
Wonshik Chee
Yun Hu
Sangmi Kim
Hanna Choi
Yuko Hamajima
Eunice Chee

Funding

To enhance breast cancer survivorship of Asian AmericansR01CA203719 · NCI · EMORY UNIVERSITY · PI IM, EUN-OK · 2016 to 2020
$2.8M
NCI NIH HHS R01 CA203719
6 · The paper itself

Abstract

The purpose of this article is to identify practical issues in implementing a culturally tailored technology-based intervention among Asian American survivors of breast cancer. In a large-scale technology-based breast cancer intervention study, research team members wrote memos on issues in implementing a culturally tailored technology-based intervention and plausible reasons for the issues. Then, the content of the research diaries was analyzed, along with written records of the research team. The practical issues found in the research process included those related to (1) technology literacy and preferences; (2) language issues; (3) cultural attitudes, beliefs, and values; (4) intervention staff competence; (5) security and confidentiality issues; and (6) time and geographical constraints. Based on the issues, several recommendations are proposed for future research using culturally tailored technology-based interventions among racial and ethnic minorities.

Indexed as

AsianCancer SurvivorsTechnologyBreast NeoplasmsComputer LiteracyConfidentialityCultural CharacteristicsCulturally Competent CareFemaleHealth Services AccessibilityHumansLanguage

Identifiers

PMID29927767
PMCPMC6133744

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.