A Web-Based Training Resource for Therapists to Deliver an Evidence-Based Exercise Program for Rheumatoid Arthritis of the Hand (iSARAH): Design, Development, and Usability Testing

Abstract Background Audit and feedback (A&F) interventions are one of the most common approaches for implementing evidence-based practices. A key barrier to more effective A&F interventions is the lack of a theory-guided approach to the accumulation of evidence. Recent interviews with theory experts identified 313 theory-informed hypotheses, spread across 30 themes, about how to create more effective A&F interventions. In the current survey, we sought to elicit from stakeholders which hypotheses were most likely to advance the field if studied further. Methods From the list of 313, three members of the research team identified 216 that were clear and distinguishable enough for prioritization. A web-based survey was then sent to 211 A&F intervention stakeholders asking them to choose up to 50 ‘priority’ hypotheses following the header “A&F interventions will be more effective if…”. Analyses included frequencies of endorsement of the individual hypotheses and themes into which they were grouped. Results 68 of the 211 invited participants responded to the survey. Seven hypotheses were chosen by > 50% of respondents, including A&F interventions will be more effective… “if feedback is provided by a trusted source”; “if recipients are involved in the design/development of the feedback intervention”; “if recommendations related to the feedback are based on good quality evidence”; “if the behaviour is under the control of the recipient”; “if it addresses barriers and facilitators (drivers) to behaviour change”; “if it suggests clear action plans”; and “if target/goal/optimal rates are clear and explicit”. The most endorsed theme was Recipient Priorities (four hypotheses were chosen 92 times as a ‘priority’ hypotheses). Conclusions This work determined a set of hypotheses thought by respondents to be to be most likely to advance the field through future A&F intervention research. This work can inform a coordinated research agenda that may more efficiently lead to more effective A&F interventions.

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An Online Hand Exercise Intervention for Adults With Rheumatoid Arthritis (mySARAH): Design, Development, and Usability Testing

Journal of Medical Internet Research ◽

10.2196/10457 ◽

2018 ◽

Vol 20 (6) ◽

pp. e10457 ◽

Cited By ~ 8

Author(s):

Cynthia Srikesavan ◽

Esther Williamson ◽

Tim Cranston ◽

John Hunter ◽

Jo Adams ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Exercise Intervention ◽

Usability Testing ◽

Design Development

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The online version of an evidence-based hand exercise program for people with rheumatoid arthritis: A mixed-method, proof-of-concept study

Journal of Hand Therapy ◽

10.1016/j.jht.2020.10.011 ◽

2020 ◽

Author(s):

Cynthia Srikesavan ◽

Esther Williamson ◽

Jacqueline Y. Thompson ◽

Tim Cranston ◽

Catherine Swales ◽

...

Keyword(s):

Rheumatoid Arthritis ◽

Mixed Method ◽

Exercise Program ◽

Online Version ◽

Evidence Based ◽

Proof Of Concept ◽

Concept Study

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Supplemental Material for Development and Randomized-Controlled Evaluation of a Web-Based Training in Evidence-Based Trauma Therapy

Professional Psychology Research and Practice ◽

10.1037/pro0000262.supp ◽

2019 ◽

Keyword(s):

Trauma Therapy ◽

Evidence Based ◽

Web Based ◽

Randomized Controlled ◽

Controlled Evaluation

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Effectiveness of an Exercise Program and Education Through a Mobile Application for the Management of Patients With Hand Osteoarthritis and Rheumatoid Arthritis

Case Medical Research ◽

10.31525/ct1-nct04263974 ◽

2020 ◽

Author(s):

Keyword(s):

Rheumatoid Arthritis ◽

Mobile Application ◽

Exercise Program ◽

Hand Osteoarthritis

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Development and Usability Testing of a Web-Based and Therapist-Assisted Coping Skills Program for Managing Psychosocial Problems in Individuals With Hand and Upper Limb Injuries: Mixed Methods Study (Preprint)

10.2196/preprints.17088 ◽

2019 ◽

Author(s):

Folarin Omoniyi Babatunde ◽

Joy MacDermid ◽

Ruby Grewal ◽

Luciana Macedo ◽

Mike Szekeres

Keyword(s):

Upper Limb ◽

Coping Skills ◽

Usability Testing ◽

Psychosocial Problems ◽

Skills Training ◽

Hand Therapy ◽

Web Based ◽

Coping Skills Training ◽

Limb Injuries ◽

Prolonged Pain

BACKGROUND Ineffective coping has been linked to prolonged pain, distress, anxiety, and depression after a hand and upper limb injury. Evidence shows that interventions based on cognitive behavioral therapy (CBT) may be effective in improving treatment outcomes, but traditional psychological interventions are resource intensive and unrealistic in busy hand therapy practices. Developing web-based, evidence-based psychological interventions specifically for hand therapy may be feasible in clinical practice and at home with reduced training and travel costs. Hand Therapy Online Coping Skills (HOCOS) is a program developed to supplement traditional hand therapy with therapist-assisted coping skills training based on principles from CBT and the Technology Acceptance Model. OBJECTIVE This study aimed to describe the development and assess the usability of HOCOS to support hand therapists in the management of psychosocial problems. METHODS The ADDIE model (Analysis, Design, Development, Implementation, and Evaluation) of system design was applied to create HOCOS. The usability testing of HOCOS involved a 2-stage process. In the first step, heuristic testing with information and communications technology (ICT) experts was completed using two sets of heuristics: Monkman heuristics and the Health Literacy Online (HLO) checklist. The second step involved user testing with hand therapists performing a series of online and face-to-face activities, completing 12 tasks on the website using the think-aloud protocol, completing the system usability scale (SUS) questionnaire, and a semistructured feedback interview in 2 iterative cycles. Descriptive statistics and content analyses were used to organize the data. RESULTS In total, 4 ICT experts and 12 therapists completed usability testing. The heuristic evaluation revealed 15 of 35 violations on the HLO checklist and 5 of 11 violations on the Monkman heuristics. Initially, hand therapists found 5 tasks to be difficult but were able to complete all 12 tasks after the second cycle of testing. The cognitive interview findings were organized into 6 themes: task performance, navigation, design esthetics, content, functionality and features, and desire for future use. Usability issues identified were addressed in two iterative cycles. There was good agreement on all items of the SUS. Overall, therapists found that HOCOS was a detailed and helpful learning resource for therapists and patients. CONCLUSIONS We describe the development and usability testing of HOCOS; a new web-based psychosocial intervention for individuals with a hand and upper limb injuries. HOCOS targets psychosocial problems linked to prolonged pain and disability by increasing access to therapist-guided coping skills training. We actively involved target users in the development and usability evaluation of the website. The final website was modified to meet the needs and preferences of the participants.

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Design and Development of a Web-based Delirium Preventive Application for Long-term Care Facilities: A Methodological Study (Preprint)

10.2196/preprints.26092 ◽

2020 ◽

Author(s):

Kyoung Ja Moon ◽

Chang-Sik Son ◽

Jong-Ha Lee ◽

Mina Park

Keyword(s):

Risk Factors ◽

Long Term Care ◽

Cloud System ◽

Evidence Based ◽

Methodological Study ◽

Term Care ◽

Web Based ◽

Care Facilities ◽

Delirium Prevention

BACKGROUND Long-term care facilities demonstrate low levels of knowledge and care for patients with delirium and are often not properly equipped with an electronic medical record system, thereby hindering systematic approaches to delirium monitoring. OBJECTIVE This study aims to develop a web-based delirium preventive application (app), with an integrated predictive model, for long-term care (LTC) facilities using artificial intelligence (AI). METHODS This methodological study was conducted to develop an app and link it with the Amazon cloud system. The app was developed based on an evidence-based literature review and the validity of the AI prediction model algorithm. Participants comprised 206 persons admitted to LTC facilities. The app was developed in 5 phases. First, through a review of evidence-based literature, risk factors for predicting delirium and non-pharmaceutical contents for preventive intervention were identified. Second, the app, consisting of several screens, was designed; this involved providing basic information, predicting the onset of delirium according to risk factors, assessing delirium, and intervening for prevention. Third, based on the existing data, predictive analysis was performed, and the algorithm developed through this was calculated at the site linked to the web through the Amazon cloud system and sent back to the app. Fourth, a pilot test using the developed app was conducted with 33 patients. Fifth, the app was finalized. RESULTS We developed the Web_DeliPREVENT_4LCF for patients of LTC facilities. This app provides information on delirium, inputs risk factors, predicts and informs the degree of delirium risk, and enables delirium measurement or delirium prevention interventions to be immediately implemented with a verified tool. CONCLUSIONS This web-based application is evidence-based and offers easy mobilization and care to patients with delirium in LTC facilities. Therefore, the use of this app improves the unrecognized of delirium and predicts the degree of delirium risk, thereby helping initiatives for delirium prevention and providing interventions. This would ultimately improve patient safety and quality of care. CLINICALTRIAL none

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