Evidence map›Paper›PMID 38808012›Full record

ArticleAsia-Pacific journal of oncology nursing2024

Development and psychometric testing of the lymphedema self-management support scale for breast cancer survivors.

Xin Fu, Aomei Shen, Lichuan Zhang, Yujie Wang, Qian Lu

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Xin FuSchool of Nursing, Peking University, Beijing, China.
Aomei ShenSchool of Nursing, Peking University, Beijing, China.
Lichuan ZhangSchool of Nursing, Peking University, Beijing, China.
Yujie WangDepartment of Nursing, Henan Provincial People's Hospital, Henan Provincial Key Medicine Laboratory of Nursing, Zhengzhou, Henan, China.
Qian LuSchool of Nursing, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Effective self-management support should be tailored to the individual. To provide personalized and targeted self-management support, a rigorous assessment tool is needed to screen the actual degree of lymphedema self-management support received by breast cancer survivors. This study aims to develop and psychometrically test the Lymphedema Self-Management Support Scale for Breast Cancer Survivors (LSMS-BCs). Methods: This study involves two phases: scale development and psychometric testing. In the scale development phase, preliminary items and domains were identified through a qualitative meta-synthesis, a quantitative systematic review, and reference to previous similar scales. Expert consultation and pilot study were conducted to refine the scale and evaluate the content validity. The psychometric characteristics were tested with 447 participants using item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability assessments, as well as measurement invariance. Results: A preliminary 21-item scale with four domains, basic management support, management support for limb volume reduction, role management support, and emotional management support, was constructed in the scale development phase and well supported by EFA and CFA. The scale-level content validity index was 0.983. Cronbach's α coefficient for overall scale and subscales ranged from 0.732 to 0.949. McDonald's ω ranged from 0.848 to 0.955. Excellent known-groups validity, concurrent validity, predictive validity, and measurement invariance were demonstrated. Conclusions: The LSMS-BCs is psychometrically valid and reliable. It can serve as a valuable tool for assessing and understanding the lymphedema self-management support received by breast cancer survivors.

Indexed as

Breast cancerLymphedemaPsychometric testingScale developmentSelf-management support

Identifiers

PMID38808012
PMCPMC11130995

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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.