Evidence map›Paper›PMID 31688089›Full record

ArticleComputers, informatics, nursing : CIN2020

The Preliminary Efficacy of a Technology-Based Cancer Pain Management Program Among Asian American Breast Cancer Survivors.

Wonshik Chee, Yaelim Lee, Xiaopeng Ji, Eunice Chee, Eun-Ok Im

Abstract read
In one paragraph

Article in Computers, informatics, nursing : CIN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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.

  1. Cultural tailoring of pain management approaches: a scoping review.International journal for equity in health · 2025
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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

5 authors.

Wonshik CheeAuthor Affiliations: Duke University, Durham, North Carolina (Drs W. Chee and Im and Ms E. Chee); Chung-Ang University, Seoul, Republic of Korea (Dr Lee); University of Delaware, Newark (Dr Ji).
Yaelim Lee
Xiaopeng Ji
Eunice Chee
Eun-Ok Im

Funding

UNIVERSITY OF PENNSYLVANIA CAN CTR SUPPORT GRANTP30CA016520 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert H. Vonderheide · 1985 to 2026
$222.3M
NCI NIH HHS P30 CA016520
6 · The paper itself

Abstract

With few existing technology-based programs to support cancer pain management, the need for culturally tailored programs to support ethnic minority cancer survivors has been highlighted. The purpose of this study was to explore the preliminary efficacy of the technology-based CAncer Pain management support Program for Asian American survivors of breast cancer, a technology-based cancer pain management program, in improving the cancer pain experience of Asian American breast cancer survivors. This pilot study adopted a randomized repeated-measures pretest/posttest control group design with a sample of 94 Asian American breast cancer survivors. Study measures included the Brief Pain Inventory-Short Form, Support Care Needs Survey-34 Short Form, and Mishel Uncertainty in Illness Scale-Community. Data were analyzed using descriptive and inferential statistics including repeated-measures analysis of covariance. Although there were no significant differences in pain, there were significant changes in perceived isolation (F = 9.937, P < .01), personal resources (F = 6.612, P < .05), support care need (F = 8.299, P < .01), and degree of uncertainty (F = 8.722, P < .01) in the intervention group from pretest to posttest. These findings support the positive effects of CAncer Pain management support Program for Asian American survivors of breast cancer on the cancer pain experience of Asian American breast cancer survivors.

Indexed as

AdultAsianBreast NeoplasmsCancer PainCancer SurvivorsFemaleHumansMiddle AgedPain ManagementPilot ProjectsSocial SupportSurveys and Questionnaires

Identifiers

PMID31688089
PMCPMC7060106

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.