Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks
Abstract Background Psychometrically 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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-12-01
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| Series: | BMC Psychology |
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| Online Access: | https://doi.org/10.1186/s40359-022-00995-2 |
| _version_ | 1811188735365087232 |
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| author | Sylvie D. Lambert Susan J. Bartlett Jane McCusker Mark Yaffe Antonio Ciampi Eric Belzile Manon de Raad |
| author_facet | Sylvie D. Lambert Susan J. Bartlett Jane McCusker Mark Yaffe Antonio Ciampi Eric Belzile Manon de Raad |
| author_sort | Sylvie D. Lambert |
| collection | DOAJ |
| description | Abstract Background Psychometrically 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. Methods The 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. Results The 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. Conclusions In 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. |
| first_indexed | 2024-04-11T14:23:29Z |
| format | Article |
| id | doaj.art-91d82bb3273644178cdad6d96e10a393 |
| institution | Directory Open Access Journal |
| issn | 2050-7283 |
| language | English |
| last_indexed | 2024-04-11T14:23:29Z |
| publishDate | 2022-12-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Psychology |
| spelling | doaj.art-91d82bb3273644178cdad6d96e10a3932022-12-22T04:18:57ZengBMCBMC Psychology2050-72832022-12-0110111110.1186/s40359-022-00995-2Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasksSylvie D. Lambert0Susan J. Bartlett1Jane McCusker2Mark Yaffe3Antonio Ciampi4Eric Belzile5Manon de Raad6Ingram School of Nursing, McGill UniversityDivisions of Clinical Epidemiology, Rheumatology and Respiratory Epidemiology and Clinical Trials Unit, Department of Medicine, McGill UniversitySt. Mary’s Research Centre, Hayes PavilionDepartment of Family Medicine, McGill UniversitySt. Mary’s Research Centre, Hayes PavilionSt. Mary’s Research Centre, Hayes PavilionSt. Mary’s Research Centre, Hayes PavilionAbstract Background Psychometrically 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. Methods The 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. Results The 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. Conclusions In 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.https://doi.org/10.1186/s40359-022-00995-2Chronic diseaseSelf-managementPsychometric |
| spellingShingle | Sylvie D. Lambert Susan J. Bartlett Jane McCusker Mark Yaffe Antonio Ciampi Eric Belzile Manon de Raad Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks BMC Psychology Chronic disease Self-management Psychometric |
| title | Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks |
| title_full | Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks |
| title_fullStr | Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks |
| title_full_unstemmed | Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks |
| title_short | Development and psychometric evaluation of the CanSmart questionnaire to measure chronic disease self-management tasks |
| title_sort | development and psychometric evaluation of the cansmart questionnaire to measure chronic disease self management tasks |
| topic | Chronic disease Self-management Psychometric |
| url | https://doi.org/10.1186/s40359-022-00995-2 |
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