Claire E H Barber1, Namneet Sandhu2, James A Rankin3, Paul MacMullan2, Deborah A Marshall4, Cheryl Barnabe1, Glen S Hazlewood1, Andrea Emrick2, Martina Stevenson2, Karen L Then3, Susanne Benseler5, Marinka Twilt5, Dianne Mosher6. 1. Div.of Rheumatology, Department of Medicine; Department of Community Health Sciences University of Calgary, Cumming School of Medicine, Alberta; Arthritis Research Canada; and McCaig Inst. for Bone and Joint Health, University of Calgary, Alberta, Canada. 2. Division of Rheumatology, Department of Medicine, University of Calgary, Cumming School of Medicine, Alberta, Canada. 3. Faculty of Nursing, University of Calgary & Alberta Health Services, Alberta, Canada. 4. Department of Community Health Sciences University of Calgary, Cumming School of Medicine, Alberta; Arthritis Research Canada; and McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada. 5. Department of Pediatrics, University of Calgary, Cumming School of Medicine, Alberta, Canada. 6. Division of Rheumatology, Department of Medicine, Cumming School of Medicine, University of Calgary, and McCaig Institute for Bone and Joint Health, University of Calgary, Alberta, Canada.
Abstract
OBJECTIVES: To develop a web-based tool (Rheum4U) to capture clinically meaningful data to direct treatment. Rheum4U integrates longitudinal clinical data capture of rheumatoid arthritis (RA) disease activity measures and patient-reported outcomes measures (PROMs). This study tests the feasibility, acceptability and efficiency of Rheum4U among patients and healthcare providers. METHODS: Rheum4U was developed in two phases: P1 design and development; and P2 pilot testing. P1: A working group of rheumatologists and researchers (n=13) performed a prioritisation exercise to determine data elements to be included in the platform. The specifications were finalised and supplied to the platform developer. Alpha testing was performed to correct initial software bugs. 18 testers (physicians, nurses and recruited non-patient lay-testers) beta tested Rheum4U for usability. P2: Rheum4U was piloted in 2 rheumatology clinics and evaluated for feasibility, efficiency and acceptability using interviews, observation and questionnaires with patients and healthcare providers. RESULTS: 110 RA patients, 9 rheumatologists and 9 allied health providers participated in the pilot. Mean patient age was 53 years and 74% were female. The majority (86%) were satisfied or very satisfied with online data entry and 79% preferred it to paper entry. Healthcare providers found Rheum4U easy and clear to use (90%), and they perceived that it improved their job performance (91%). Completeness and easy availability of the patient information improved clinic efficiency. CONCLUSIONS: Rheum4U highlights the benefits of a web-based tool for clinical care, quality improvement and research in the clinic and this study provides valuable information to inform full platform implementation.
OBJECTIVES: To develop a web-based tool (Rheum4U) to capture clinically meaningful data to direct treatment. Rheum4U integrates longitudinal clinical data capture of rheumatoid arthritis (RA) disease activity measures and patient-reported outcomes measures (PROMs). This study tests the feasibility, acceptability and efficiency of Rheum4U among patients and healthcare providers. METHODS: Rheum4U was developed in two phases: P1 design and development; and P2 pilot testing. P1: A working group of rheumatologists and researchers (n=13) performed a prioritisation exercise to determine data elements to be included in the platform. The specifications were finalised and supplied to the platform developer. Alpha testing was performed to correct initial software bugs. 18 testers (physicians, nurses and recruited non-patient lay-testers) beta tested Rheum4U for usability. P2: Rheum4U was piloted in 2 rheumatology clinics and evaluated for feasibility, efficiency and acceptability using interviews, observation and questionnaires with patients and healthcare providers. RESULTS: 110 RApatients, 9 rheumatologists and 9 allied health providers participated in the pilot. Mean patient age was 53 years and 74% were female. The majority (86%) were satisfied or very satisfied with online data entry and 79% preferred it to paper entry. Healthcare providers found Rheum4U easy and clear to use (90%), and they perceived that it improved their job performance (91%). Completeness and easy availability of the patient information improved clinic efficiency. CONCLUSIONS: Rheum4U highlights the benefits of a web-based tool for clinical care, quality improvement and research in the clinic and this study provides valuable information to inform full platform implementation.
Authors: Xenia Gukova; Glen S Hazlewood; Hector Arbillaga; Paul MacMullan; Gabrielle L Zimmermann; Cheryl Barnabe; May Y Choi; Megan R W Barber; Alexandra Charlton; Becky Job; Kelly Osinski; Nicole M S Hartfeld; Marlene W Knott; Paris Pirani; Claire E H Barber Journal: BMC Rheumatol Date: 2022-06-25
Authors: Claire E H Barber; Dianne Mosher; Shawn Dowling; Victoria Bohm; Nathan M Solbak; Paul MacMullan; Bo Pan; Cheryl Barnabe; Glen S Hazlewood; Karen L Then; Deborah A Marshall; James A Rankin; Linda C Li; Karen Tsui; Kelly English; Joanne Homik; Nicole Spencer; Marc Hall; Diane Lacaille Journal: Rheumatol Ther Date: 2020-10-09
Authors: Lucy H Liu; Sarah B Garrett; Jing Li; Dana Ragouzeos; Beth Berrean; Daniel Dohan; Patricia P Katz; Jennifer L Barton; Jinoos Yazdany; Gabriela Schmajuk Journal: Health Expect Date: 2020-04-09 Impact factor: 3.377
Authors: Claire Barber; Diane Lacaille; Marc Hall; Victoria Bohm; Linda C Li; Cheryl Barnabe; James Rankin; Glen Hazlewood; Deborah A Marshall; Paul Macmullan; Dianne Mosher; Joanne Homik; Kelly English; Karen Tsui; Karen L Then Journal: BMJ Open Date: 2021-03-05 Impact factor: 2.692
Authors: Glen S Hazlewood; Deborah A Marshall; Claire E H Barber; Linda C Li; Cheryl Barnabe; Vivian Bykerk; Peter Tugwell; Pauline M Hull; Nick Bansback Journal: Patient Prefer Adherence Date: 2020-05-18 Impact factor: 2.711
Authors: Scott C Brunet; Michael T Kuczynski; Jennifer L Bhatla; Sophie Lemay; Yves Pauchard; Peter Salat; Cheryl Barnabe; Sarah L Manske Journal: BMC Med Imaging Date: 2020-04-07 Impact factor: 1.930
Authors: Jutta G Richter; Gamal Chehab; Catarina Schwartz; Elisabeth Ricken; Monika Tomczak; Hasan Acar; Henrike Gappa; Carlos A Velasco; Peter Rosengren; Armanas Povilionis; Matthias Schneider; Jesper Thestrup Journal: Arthritis Res Ther Date: 2021-05-27 Impact factor: 5.156