BMJ Open (Oct 2019)

Factors associated with patient-reported likelihood of using online self-care interventions: a Scleroderma Patient-centered Intervention Network (SPIN) cohort study

  • Thierry Martin,
  • Carter Thorne,
  • Brett D Thombs,
  • Vincent Poindron,
  • John Varga,
  • Isabelle Boutron,
  • Linda Kwakkenbos,
  • Marie-Eve Carrier,
  • Karen Nielsen,
  • Alexandra Portales,
  • Susan J Bartlett,
  • Vanessa L Malcarne,
  • Karen Gottesman,
  • Warren R Nielson,
  • Robert Riggs,
  • Maureen Sauve,
  • Fredrick Wigley,
  • Shervin Assassi,
  • Angela Costa Maia,
  • Ghassan El-Baalbaki,
  • Carolyn Ells,
  • Catherine Fortune,
  • Dominique Godard,
  • Ann Impens,
  • Yeona Jang,
  • Ann Tyrell Kennedy,
  • Annett Körner,
  • Maggie Larche,
  • Catarina Leite,
  • Carlo Marra,
  • Janet Pope,
  • Tatiana Sofia Rodriguez Reyna,
  • Joep Welling,
  • Durhane Wong-Rieger,
  • Alexandra Albert,
  • Marc André,
  • Guylaine Arsenault,
  • Ilham Benzidia,
  • Lyne Bissonnette,
  • Gilles Boire,
  • Alessandra Bruns,
  • Patricia Carreira,
  • Marion Casadevall,
  • Lorinda Chung,
  • Pascal Cohen,
  • Pierre Dagenais,
  • Christopher Denton,
  • Robyn Domsic,
  • Sandrine Dubois,
  • Bertrand Dunogue,
  • Alexia Esquinca,
  • Regina Fare,
  • Dominique Farge-bancel,
  • Anna Gill,
  • Jessica Gordon,
  • Brigitte Granel-Rey,
  • Genevieve Gyger,
  • Pierre-Yves Hatron,
  • Ariane L Herrick,
  • Adrian Hij,
  • Monique Hinchcliff,
  • Alena Ikic,
  • Niall Jones,
  • Suzanne Kafaja,
  • Nader Khalidi,
  • Patrick Liang,
  • Joanne Manning,
  • Maria Martin,
  • Ariel Masetto,
  • Sheila Melchor,
  • David Robinson,
  • Esther Rodriguez,
  • Sophie Roux,
  • Perrine Smets,
  • Doug Smith,
  • Robert Spiera,
  • Evelyn Sutton,
  • Benjamin Terrier,
  • Pearce Wilcox,
  • Michelle Wilson,
  • Julie Cumin,
  • François Rannou,
  • Daniel E. Furst,
  • Maureen D. Mayes,
  • Lindsay Cronin,
  • Stephen Elrod,
  • Cornelia van den Ende,
  • Amy Gietzen,
  • Daphna Harel Geneviève Guillot,
  • Shirley Haslam,
  • Sindhu R. Johnson,
  • Christelle Nguyen,
  • Michelle Richard,
  • Ken Rozee,
  • Anne A. Schouffoer,
  • Russell J. Steele,
  • Nancy Stephens,
  • Maria E. Suarez-Almazor,
  • Chase Correia,
  • James V. Dunne,
  • Paul R. Fortin,
  • Artur Jose de B. Fernandes,
  • Nancy Maltez,
  • Isabelle Marie,
  • Kylene Anne Aguila,
  • Mara Cañedo Ayala,
  • Andrea Carboni-Jiménez,
  • Claire Fedoruk,
  • Lydia Tao,
  • Kimberly Turner,
  • Sami Harb,
  • Mekinian Arsene,
  • Nikpour Mandana,
  • Gholizadeh Shadi

DOI
https://doi.org/10.1136/bmjopen-2019-029542
Journal volume & issue
Vol. 9, no. 10

Abstract

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Objectives The 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.Design Cross-sectional survey.Setting SPIN 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.Measures Demographic 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.Participants 1060 participants with complete baseline data were included in the analyses.Results For 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.Conclusions The 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.