Evidence map›Paper›PMID 36476620›Full record

ArticleBMC psychology2022

Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks.

Sylvie D Lambert, Susan J Bartlett, Jane McCusker, Mark Yaffe, Antonio Ciampi, Eric Belzile, Manon de Raad

Abstract read
In one paragraph

Article in BMC psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Sylvie D LambertIngram School of Nursing, McGill University, 680 Sherbrooke Ouest, #1800, Montreal, QC, H3A 2M7, Canada. sylvie.lambert@mcgill.ca.
Susan J BartlettDivisions of Clinical Epidemiology, Rheumatology and Respiratory Epidemiology and Clinical Trials Unit, Department of Medicine, McGill University, 1001 Decarie Boulevard, Montreal, QC, H4A 3J1, Canada.
Jane McCuskerSt. Mary's Research Centre, Hayes Pavilion, Suite 3734, 3830 Avenue Lacombe, Montreal, QC, H3T 1M5, Canada.
Mark YaffeDepartment of Family Medicine, McGill University, 5858 Chemin de la Côte-des-Neiges, Montreal, H3S 1Z1, Canada.
Antonio CiampiSt. Mary's Research Centre, Hayes Pavilion, Suite 3734, 3830 Avenue Lacombe, Montreal, QC, H3T 1M5, Canada.
Eric BelzileSt. Mary's Research Centre, Hayes Pavilion, Suite 3734, 3830 Avenue Lacombe, Montreal, QC, H3T 1M5, Canada.
Manon de RaadSt. Mary's Research Centre, Hayes Pavilion, Suite 3734, 3830 Avenue Lacombe, Montreal, QC, H3T 1M5, Canada.

Funding

CIHR 139933
6 · The paper itself

Abstract

backgroundPsychometrically sound measures of chronic disease self-management tasks are needed to improve identification of patient needs and to tailor self-management programs. This study aimed to develop and conduct a preliminary psychometric analysis of the CanSMART questionnaire among a diverse, multimorbid Canadian population.

methodsThe data were drawn from a cross-sectional online survey to examine self-management needs and support preferences. Participants were 306 Canadian adults with one or more physical and/or emotional chronic conditions. The questionnaire on frequency of self-management tasks was developed with substantial patient partner input. We conducted Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) of the 11 self-management tasks comprising the scale in two randomly selected subsamples, followed by Rasch analysis. Associations between patient characteristics and the self-management task subscales and individual items were explored.

resultsThe factor analyses identified two self-management task subscales that were labelled Coping tasks (6 items) and Physical tasks (3 items), with Cronbach's alpha of 0.70 and 0.67, respectively. Rasch analysis suggested that participants had difficulty discriminating between response options "mostly" and "always". In analyses of independent associations with patient characteristics, both Coping and Physical tasks were associated with reporting more than one chronic disease and employment disability. The Coping tasks subscale was associated with female sex. Two items, on medication use and monitoring biological parameters, did not load on either scale. Both were associated with specific diagnoses.

conclusionsIn this preliminary analysis, two self-management tasks subscales exhibit good psychometric properties. Two items that did not load on either scale may represent additional dimensions of self-management. This work provides the basis for further scale development and use in research and clinical practice.

Indexed as

Self-ManagementCanadaChronic DiseaseCross-Sectional StudiesFemaleHumansChronic diseasePsychometricSelf-management

Identifiers

PMID36476620
PMCPMC9730574

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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.