Factors associated with patient-reported likelihood of using online self-care interventions: a Scleroderma Patient-centered Intervention Network (SPIN) cohort study
Autor: | Kwakkenbos, L. (Linda), Cumin, J. (Julie), Carrier, M. (Marie-Eve), Bartlett, S. (Susan J), Malcarne, V. (Vanessa L), Mouthon, L. (Luc), Nielson, W. (Warren R), Rannou, F. (François), Welling, J. (Joep), Thombs, B. (Brett D), Martin, T. (Thierry) |
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Přispěvatelé: | Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP) |
Rok vydání: | 2019 |
Předmět: |
Male
Internationality systemic sclerosis Aucun Psychological intervention law.invention Cohort Studies Experimental Psychopathology and Treatment 0302 clinical medicine Randomized controlled trial law Patient-Centered Care scleroderma 030212 general & internal medicine ComputingMilieux_MISCELLANEOUS Original Research cmRCT General Medicine 3. Good health Cohort Female France Cohort study Canada medicine.medical_specialty Multiple Sclerosis Patient-Centred Medicine 03 medical and health sciences Intervention (counseling) cohort multiple RCT medicine Humans Patient Reported Outcome Measures Mexico 030203 arthritis & rheumatology clinical trials Internet business.industry [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry Molecular Biology/Molecular biology [SDV.MP.BAC]Life Sciences [q-bio]/Microbiology and Parasitology/Bacteriology Self-care interventions Self Care Clinical trial Cross-Sectional Studies Spain Family medicine Multivariate Analysis Linear Models business Patient centered |
Zdroj: | BMJ Open, 9, 10 BMJ Open, 9 BMJ Open BMJ Open, BMJ Publishing Group, 2019, 9 (10), pp.e029542. ⟨10.1136/bmjopen-2019-029542⟩ |
ISSN: | 2044-6055 |
Popis: | ObjectivesThe Scleroderma Patient-centered Intervention Network (SPIN) Cohort uses the cohort multiple randomised controlled trial design to embed trials of online self-care interventions for people living with systemic sclerosis (SSc; scleroderma). To offer interventions to patients interested in using them, participants complete signalling items that query about the likelihood that patients would agree to participate in nine different hypothetical online programmes addressing common SSc-related problems. It is not known what factors influence patient-reported interest in participating in a particular online intervention and if intervention-specific signalling questions provide unique information or replicate broader characteristics, such as overall willingness to participate or self-efficacy. This study assessed factors that explain responses to intervention-specific signalling items.DesignCross-sectional survey.SettingSPIN Cohort participants enrolled at 42 centres from Canada, the USA, the UK, France, Spain and Mexico who completed study questionnaires from March 2014 to January 2018 were included.MeasuresDemographic and disease characteristics, self-efficacy and symptoms related to each specific intervention were completed in addition to signalling items. General likelihood of using interventions was calculating by taking the mean score of the remaining signalling questions.Participants1060 participants with complete baseline data were included in the analyses.ResultsFor all individual signalling questions, controlling for other variables, the mean of the remaining signalling questions was the strongest predictor (standardised regression coefficient β from 0.61 (sleep) to 0.80 (self-management)). Smaller, but statistically significant, associations were found with the symptom associated with the respective signalling question and with general self-efficacy for 7 of 9 signalling questions.ConclusionsThe main factor associated with patients’ interest in participating in a disease-specific online self-care intervention is their general interest in participating in online interventions. Factors that may influence this general interest should be explored and taken into consideration when inviting patients to try online interventions. |
Databáze: | OpenAIRE |
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