Evidence map›Paper›PMID 31094913›Full record

ArticleComputers, informatics, nursing : CIN2019

Challenges in a Technology-Based Cancer Pain Management Program Among Asian American Breast Cancer Survivors.

Eun-Ok Im, Xiaopeng Ji, Sangmi Kim, Eunice Chee, Ting Bao, Jun J Mao, Wonshik Chee

Abstract read
In one paragraph

Article in Computers, informatics, nursing : CIN, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Information Needs of Asian American Breast Cancer Survivors: a Decision Tree Analysis.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
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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

7 authors.

Eun-Ok ImAuthor Affiliations: School of Nursing, Duke University (Drs Im, Kim, and W. Chee), Durham, NC; School of Nursing, University of Delaware (Dr Ji), Newark; School of Engineering, North Carolina State University (Ms E. Chee), Raleigh; and Integrative Breast Oncology (Dr Bao) and Integrative Medicine (Dr Mao), Memorial Sloan-Kettering Cancer Center, New York, NY.
Xiaopeng Ji
Sangmi Kim
Eunice Chee
Ting Bao
Jun J Mao
Wonshik Chee

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

This paper aims to discuss the challenges faced during a pilot study that tested a technology-based cancer pain management program among Asian American survivors of breast cancer and provide directions for future technology-based interventions for racial and ethnic minorities. Data consisting of research diaries and meeting minutes underwent content analysis to extract themes that reflected the challenges. The challenges included those related to (1) diversities within the population of Asian American survivors of breast cancer; (2) survivors' treatment and healing process; (3) Internet resources from the participants' countries of origin; (4) building trust between researchers and participants/gatekeepers; (5) fidelity of the intervention; and (6) cultural sensitivity. Future design and implementation of technology-based programs for racial and ethnic minorities must consider these challenges.

Indexed as

AsianBreast NeoplasmsCancer SurvivorsCulturally Competent CareFemaleHumansInternetMiddle AgedPain ManagementPilot ProjectsSocial Media

Identifiers

PMID31094913
PMCPMC6530489

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.