Evidence map›Paper›PMID 38962418›Full record

ArticleNagoya journal of medical science2024

Development and validation of the chronic obstructive pulmonary disease self-care assessment scale: a concise and comprehensive instrument to assess self-management, decision-making, and coping.

Sanae Iwaya, Kazuki Sato

Abstract readValidation Study
In one paragraph

Article in Nagoya journal of medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sanae IwayaDepartment of Nursing, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kazuki SatoNursing for Advanced Practice, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to develop and test the reliability and validity of a brief and comprehensive instrument to assess self-management, decision-making, and coping by chronic obstructive pulmonary disease (COPD) patients. A web-based questionnaire was administered to 300 COPD patients and a retest was administered to 100 COPD patients. Cronbach's alpha was used to assess internal consistency, and an intraclass correlation coefficient was calculated to test the reliability of the retest. The convergent and discriminant validities were also examined. Valid responses were obtained from 279 participants in the first survey and 70 participants in the retest. From our analysis, a COPD self-care assessment scale (CSCS) was developed, consisting of seven subscales and 14 items. Cronbach's alpha for the total CSCS score, intraclass correlation coefficient, and scale success rate were 0.80, 0.79, and 100%, respectively. A multivariate analysis showed that CSCS was associated with current smoking (standardized partial regression coefficient [std β] = -0.30; p < 0.001), long-term oxygen therapy (std β = 0.23; p < 0.001), and social support (std β = 0.24; p < 0.001), but not psychological symptoms or quality of life. The CSCS is also useful in assessing self-management, decision-making, and coping in Japanese COPD patients, and the scale has high reliability and validity.

Indexed as

Adaptation, PsychologicalDecision MakingPulmonary Disease, Chronic ObstructiveSelf CareSelf-ManagementAgedFemaleHumansMaleMiddle AgedQuality of LifeReproducibility of ResultsSocial SupportSurveys and QuestionnairesCOPDinternet-based surveyself-care assessment scale

Identifiers

PMID38962418
PMCPMC11219224

What OpenQuestion holds

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Registered trials

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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.