Literature DB >> 15319045

Research in home-care telemedicine: challenges in patient recruitment.

Usha Subramanian1, Faith Hopp, Julie Lowery, Peter Woodbridge, David Smith.   

Abstract

This study reports challenges in recruiting patients for a randomized controlled trial of homecare telemedicine. Descriptive statistics on patient eligibility for home-care telemedicine services and patient refusals for participation are provided. Frequency counts of reasons for study exclusion and participant refusal and Chi-square tests to compare race and age-related differences are given. Of 302 home-care patients reviewed, 197 (65.2%) did not meet inclusion criteria. The most common reasons for study exclusion were patients either needing <2 visits per month (n = 59, 30%) or >3 skilled nurse visits per week (n = 46, 23.4%). Of the eligible patients (n = 105), 79 persons (75.2%) refused participation. The most common reasons for refusals were lack of perceived addition benefit of telemedicine (n = 27, 34.2%), and that routine health care was sufficient (n = 23, 29.1%). Higher than expected proportions of patients did not meet chosen eligibility criteria or refused to participate. These results should be helpful in designing home-care telemedicine programs and clinical trials.

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Year:  2004        PMID: 15319045     DOI: 10.1089/tmj.2004.10.155

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


  23 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.  Using an automated recruitment process to generate an unbiased study sample of multiple sclerosis patients.

Authors:  Deborah M Miller; R Fox; A Atreja; S Moore; J-C Lee; A Z Fu; A Jain; W Saupe; S Chakraborty; M Stadtler; R A Rudick
Journal:  Telemed J E Health       Date:  2010 Jan-Feb       Impact factor: 3.536

3.  Telemedicine for neuro-ophthalmology: challenges and opportunities.

Authors:  Yin Allison Liu; Melissa W Ko; Heather E Moss
Journal:  Curr Opin Neurol       Date:  2021-02-01       Impact factor: 6.283

4.  A mobile telehealth intervention for adults with insulin-requiring diabetes: early results of a mixed-methods randomized controlled trial.

Authors:  Justine Baron; Shashivadan Hirani; Stanton Newman
Journal:  JMIR Res Protoc       Date:  2015-02-26

5.  An Approach to Assess Generalizability in Comparative Effectiveness Research: A Case Study of the Whole Systems Demonstrator Cluster Randomized Trial Comparing Telehealth with Usual Care for Patients with Chronic Health Conditions.

Authors:  Adam Steventon; Richard Grieve; Martin Bardsley
Journal:  Med Decis Making       Date:  2015-05-18       Impact factor: 2.583

6.  Improving recruitment to a study of telehealth management for long-term conditions in primary care: two embedded, randomised controlled trials of optimised patient information materials.

Authors:  Mei-See Man; Jo Rick; Peter Bower
Journal:  Trials       Date:  2015-07-19       Impact factor: 2.279

7.  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

8.  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

9.  Integrating mobile-phone based assessment for psychosis into people's everyday lives and clinical care: a qualitative study.

Authors:  Jasper E Palmier-Claus; Anne Rogers; John Ainsworth; Matt Machin; Christine Barrowclough; Louise Laverty; Emma Barkus; Shitij Kapur; Til Wykes; Shôn W Lewis
Journal:  BMC Psychiatry       Date:  2013-01-23       Impact factor: 3.630

10.  Effect of telephone health coaching (Birmingham OwnHealth) on hospital use and associated costs: cohort study with matched controls.

Authors:  Adam Steventon; Sarah Tunkel; Ian Blunt; Martin Bardsley
Journal:  BMJ       Date:  2013-08-06
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