Literature DB >> 17042714

Recruitment and enrollment of rural and urban medically underserved elderly into a randomized trial of telemedicine case management for diabetes care.

Walter Palmas1, Jeanne Teresi, Philip Morin, L Thomas Wolff, Lesley Field, Joseph P Eimicke, Linnea Capps, Alejandro Prigollini, Irma Orbe, Ruth S Weinstock, Steven Shea.   

Abstract

Our goal was to identify reasons for enrollment or refusal to participate in a randomized trial of telemedicine case management of diabetes. We performed a prospective survey of participants and non-participants during recruitment for the Informatics for Diabetes Education and Telemedicine (IDEATel) study, a randomized trial of telemedicine case management of diabetes mellitus in medically underserved elderly. There were two recruitment areas: urban New York City, and rural upstate New York. A Participant Questionnaire (PQ) was administered at the baseline IDEATel visit, and a Non-Participant Questionnaire (NPQ) was administered during the recruitment telephone call. Both questionnaires listed possible responses; subjects could choose more than one response or give their own. Of 1,660 IDEATel participants, 99.7% completed the PQ. Most frequent reason for participation was the belief that the technology could help them (52% and 42% of urban and rural respondents, respectively). Of the 2,231 subjects refusing participation, 28% answered the NPQ (90% of respondents were from rural area). Most frequent reasons not to participate in the rural area were being too busy (23%), and discomfort with the technology (22%), and in the urban area the belief that the technology could not help them (71%), discomfort with it (52%), and not liking to participate in studies (52%). In multivariate analysis (rural respondents only), knowing how to use a computer was an independent predictor of participation (p < 0.001). In conclusion, perceptions and beliefs regarding technology, including the expectation to benefit from it, played an important role in the decision to participate.

Entities:  

Mesh:

Year:  2006        PMID: 17042714     DOI: 10.1089/tmj.2006.12.601

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  13 in total

1.  Recruitment challenges and strategies in a home-based telehealth study.

Authors:  Debra Parker Oliver; George Demiris; Elaine Wittenberg-Lyles; Karla Washington; Davina Porock
Journal:  Telemed J E Health       Date:  2010-09       Impact factor: 3.536

2.  InfoSAGE: Supporting Elders and Families through Online Family Networks.

Authors:  Yuri Quintana; Darren Fahy; Bradley Crotty; Ruchira Jain; Eli Kaldany; Maxwel Gorenberg; Lewis Lipsitz; Diane Engorn; Jorge Rodriguez; Alex Orfanos; Adarsha Bajracharya; Juan Henao; May Adra; David Skerry; Warner V Slack; Charles Safran
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 3.  Health information technologies in geriatrics and gerontology: a mixed systematic review.

Authors:  Isabelle Vedel; Saeed Akhlaghpour; Isaac Vaghefi; Howard Bergman; Liette Lapointe
Journal:  J Am Med Inform Assoc       Date:  2013-05-10       Impact factor: 4.497

4.  Clinical research participation among aging adults enrolled in an Alzheimer's Disease Center research registry.

Authors:  Angela L Jefferson; Susan Lambe; Christine Chaisson; Joseph Palmisano; Kathy J Horvath; Jason Karlawish
Journal:  J Alzheimers Dis       Date:  2011       Impact factor: 4.472

5.  What leads Indians to participate in clinical trials? A meta-analysis of qualitative studies.

Authors:  Jatin Y Shah; Amruta Phadtare; Dimple Rajgor; Meenakshi Vaghasia; Shreyasee Pradhan; Hilary Zelko; Ricardo Pietrobon
Journal:  PLoS One       Date:  2010-05-20       Impact factor: 3.240

6.  A review of web-assisted interventions for diabetes management: maximizing the potential for improving health outcomes.

Authors:  Linda Lockett Brown; Mia Liza A Lustria; Jenice Rankins
Journal:  J Diabetes Sci Technol       Date:  2007-11

7.  Telemedicine home blood pressure measurements and progression of albuminuria in elderly people with diabetes.

Authors:  Walter Palmas; Thomas G Pickering; Jeanne Teresi; Joseph E Schwartz; Lesley Field; Ruth S Weinstock; Steven Shea
Journal:  Hypertension       Date:  2008-03-31       Impact factor: 10.190

8.  Who does not participate in telehealth trials and why? A cross-sectional survey.

Authors:  Alexis Foster; Kimberley A Horspool; Louisa Edwards; Clare L Thomas; Chris Salisbury; Alan A Montgomery; Alicia O'Cathain
Journal:  Trials       Date:  2015-06-05       Impact factor: 2.279

9.  Improving HbA1c with Glucose Self-Monitoring in Diabetic Patients with EpxDiabetes, a Phone Call and Text Message-Based Telemedicine Platform: A Randomized Controlled Trial.

Authors:  Ran Xu; Maggie Xing; Kavon Javaherian; Robert Peters; Will Ross; Carlos Bernal-Mizrachi
Journal:  Telemed J E Health       Date:  2019-10-16       Impact factor: 3.536

10.  Exploring barriers to participation and adoption of telehealth and telecare within the Whole System Demonstrator trial: a qualitative study.

Authors:  Caroline Sanders; Anne Rogers; Robert Bowen; Peter Bower; Shashivadan Hirani; Martin Cartwright; Ray Fitzpatrick; Martin Knapp; James Barlow; Jane Hendy; Theti Chrysanthaki; Martin Bardsley; Stanton P Newman
Journal:  BMC Health Serv Res       Date:  2012-07-26       Impact factor: 2.655

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.