scholarly journals Collecting Symptoms and Sensor Data With Consumer Smartwatches (the Knee OsteoArthritis, Linking Activity and Pain Study): Protocol for a Longitudinal, Observational Feasibility Study

10.2196/10238 ◽  
2019 ◽  
Vol 8 (1) ◽  
pp. e10238 ◽  
Author(s):  
Anna L Beukenhorst ◽  
Matthew J Parkes ◽  
Louise Cook ◽  
Rebecca Barnard ◽  
Sabine N van der Veer ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Feasibility Study ◽  
Study Protocol ◽  
Sensor Data

The Natural History of Knee Osteoarthritis: India-based Knee Osteoarthritis Evaluation (iKare): A Study Protocol

2013 ◽  
Vol 23 (2-03) ◽  
pp. 93-104
Author(s):  
Alexa Gilbert ◽  
Chuan Silvia Li ◽  
Parag Sancheti ◽  
Beate Hanson ◽  
Mandeep S. Dhillon ◽  
...  
Keyword(s):  
Natural History ◽  
Knee Osteoarthritis ◽  
Study Protocol ◽  
History Of

scholarly journals Golden plaster for pain therapy in patients with knee osteoarthritis: study protocol for a multicenter randomized, double-blind, placebo-controlled trial

Trials ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 383 ◽  
Author(s):  
Jin-Tao Liu ◽  
De-Zhi Tang ◽  
Xiao-Feng Li ◽  
Zhi-Gang Zhang ◽  
Wan-Bo Ji ◽  
...  
Keyword(s):  
Knee Osteoarthritis ◽  
Study Protocol ◽  
Pain Therapy ◽  
Controlled Trial ◽  
Double Blind ◽  
Double Blind Placebo

scholarly journals Mobile therapeutic attention for treatment-resistant schizophrenia (m-RESIST): a prospective multicentre feasibility study protocol in patients and their caregivers

BMJ Open ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. e021346 ◽  
Author(s):  
Anna Alonso-Solís ◽  
Katya Rubinstein ◽  
Iluminada Corripio ◽  
Erika Jaaskelainen ◽  
Annika Seppälä ◽  
...  
Keyword(s):  
Quality Of Life ◽  
European Union ◽  
Feasibility Study ◽  
Study Protocol ◽  
Preliminary Data ◽  
Perceived Quality ◽  
The European Union ◽  
Treatment Resistant ◽  
Perceived Quality Of Life

IntroductionTreatment-resistant schizophrenia (TRS) is a severe form of schizophrenia. In the European Union, approximately 40% of people with schizophrenia have TRS. Factors such as the persistence of positive symptoms or higher risk of comorbidities leave clinicians with a complex scenario when treating these patients. Intervention strategies based on mHealth have demonstrated their ability to support and promote self-management-based strategies. Mobile therapeutic attention for treatment-resistant schizophrenia(m-RESIST), an innovative mHealth solution based on novel technology and offering high modular and flexible functioning, has been developed specifically for patients with TRS and their caregivers. As intervention in TRS is a challenge, it is necessary to perform a feasibility study before the cost-effectiveness testing stage.Methods and analysisThis manuscript describes the protocol for a prospective multicentre feasibility study in 45 patients with TRS and their caregivers who will be attended in the public health system of three localities: Hospital Santa Creu Sant Pau (Spain), Semmelweis University (Hungary) and Gertner Institute & Sheba Medical Center (Israel). The primary aim is to investigate the feasibility and acceptability of the m-RESIST solution, configured by three mHealth tools: an app, wearable and a web-based platform. The solution collects data about acceptability, usability and satisfaction, together with preliminary data on perceived quality of life, symptoms and economic variables. The secondary aim is to collect preliminary data on perceived quality of life, symptoms and economic variables.Ethics and disseminationThis study protocol, funded by the Horizon 2020 Programme of the European Union, has the approval of the ethics committees of the participating institutions. Participants will be fully informed of the purpose and procedures of the study, and signed inform consents will be obtained. The results will be published in peer-reviewed journals and presented in scientific conferences to ensure widespread dissemination.Trial registration numberNCT03064776; Pre-results.

scholarly journals Individual and occupational risk factors for knee osteoarthritis – Study protocol of a case control study

2008 ◽  
Vol 9 (1) ◽  
Author(s):  
André Klußmann ◽  
Hansjuergen Gebhardt ◽  
Falk Liebers ◽  
Lars Victor von Engelhardt ◽  
Andreas Dávid ◽  
...  
Keyword(s):  
Risk Factors ◽  
Knee Osteoarthritis ◽  
Study Protocol ◽  
Case Control Study ◽  
Case Control ◽  
Occupational Risk ◽  
Occupational Risk Factors ◽  
Control Study

scholarly journals Study Protocol Modeling Evoked Pain in Older African Americans with Knee Osteoarthritis

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Staja Q. Booker ◽  
Angela Starkweather ◽  
Todd M. Manini ◽  
Roland Staud ◽  
Roger B. Fillingim
Keyword(s):  
African Americans ◽  
Knee Osteoarthritis ◽  
Study Protocol ◽  
Older African Americans

scholarly journals Engagement and Participant Experiences With Consumer Smartwatches for Health Research: Longitudinal, Observational Feasibility Study (Preprint)

2019 ◽  
Author(s):  
Anna L Beukenhorst ◽  
Kelly Howells ◽  
Louise Cook ◽  
John McBeth ◽  
Terence W O'Neill ◽  
...  
Keyword(s):  
Data Collection ◽  
Knee Osteoarthritis ◽  
Patient Reported Outcomes ◽  
Health Data ◽  
Self Report ◽  
Sensor Data ◽  
Battery Life ◽  
Activity Data ◽  
Technical Problems ◽  
Patient Reported

BACKGROUND Wearables provide opportunities for frequent health data collection and symptom monitoring. The feasibility of using consumer cellular smartwatches to provide information both on symptoms and contemporary sensor data has not yet been investigated. OBJECTIVE This study aimed to investigate the feasibility and acceptability of using cellular smartwatches to capture multiple patient-reported outcomes per day alongside continuous physical activity data over a 3-month period in people living with knee osteoarthritis (OA). METHODS For the KOALAP (Knee OsteoArthritis: Linking Activity and Pain) study, a novel cellular smartwatch app for health data collection was developed. Participants (age ≥50 years; self-diagnosed knee OA) received a smartwatch (Huawei Watch 2) with the KOALAP app. When worn, the watch collected sensor data and prompted participants to self-report outcomes multiple times per day. Participants were invited for a baseline and follow-up interview to discuss their motivations and experiences. Engagement with the watch was measured using daily watch wear time and the percentage completion of watch questions. Interview transcripts were analyzed using grounded thematic analysis. RESULTS A total of 26 people participated in the study. Good use and engagement were observed over 3 months: most participants wore the watch on 75% (68/90) of days or more, for a median of 11 hours. The number of active participants declined over the study duration, especially in the final week. Among participants who remained active, neither watch time nor question completion percentage declined over time. Participants were mainly motivated to learn about their symptoms and enjoyed the self-tracking aspects of the watch. Barriers to full engagement were battery life limitations, technical problems, and unfulfilled expectations of the watch. Participants reported that they would have liked to report symptoms more than 4 or 5 times per day. CONCLUSIONS This study shows that capture of patient-reported outcomes multiple times per day with linked sensor data from a smartwatch is feasible over at least a 3-month period. INTERNATIONAL REGISTERED REPORT RR2-10.2196/10238

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