Literature DB >> 18318927

Automated telephone reminder messages can assist electronic diabetes care.

Brent Mollon1, Anne M Holbrook, Karim Keshavjee, Sue Troyan, Kathryn Gaebel, Lehana Thabane, Gihan Perera.   

Abstract

Telephone reminder systems have been used to assist in the treatment of many chronic diseases. However, it is unclear if these systems can increase medication and appointment adherence in patients with diabetes without direct patient-provider telephone contact. We tested the feasibility of using an automated telephone reminder system (ATRS) to deliver reminder messages to 253 adults with diabetes enrolled in a randomized controlled trial. Eighty-four percent of the patients were able to register using voice recognition and at least one reminder was delivered to 95% of registered patients over a period of 7.5 months. None of the demographic features studied predicted a patient's ability to enroll or to receive reminder calls. At the end of the study, 63% of patients indicated that they wished to continue to receive ATRS calls. The level of system use as determined by the number of received reminder calls was not associated with a change in the number of physician visits or diabetes-related laboratory tests during follow-up. The clinical benefits and sustainability of ATRS remain unproven, but our results indicate that an automated reminder system can be effective for providing messages to a large group of older patients with diabetes.

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Year:  2008        PMID: 18318927     DOI: 10.1258/jtt.2007.070702

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  10 in total

Review 1.  Provider and systems factors in diabetes quality of care.

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Journal:  Curr Cardiol Rep       Date:  2012-02       Impact factor: 2.931

2.  Maximizing acceptability and usefulness of an automated telephone intervention: Lessons from a developmental mixed-methods approach.

Authors:  Jennifer Schneider; Amy Waterbury; Adrianne Feldstein; Jerena Donovan; William M Vollmer; Joan Dubanoski; Shelley Clark; Cynthia Rand
Journal:  Health Informatics J       Date:  2011-03       Impact factor: 2.681

3.  Exacerbation history is associated with medication and appointment adherence in MS.

Authors:  Laura M Hancock; Jared M Bruce; Sharon G Lynch
Journal:  J Behav Med       Date:  2011-01-23

Review 4.  The empirical evidence for the telemedicine intervention in diabetes management.

Authors:  Rashid L Bashshur; Gary W Shannon; Brian R Smith; Maria A Woodward
Journal:  Telemed J E Health       Date:  2015-03-25       Impact factor: 3.536

5.  Feasibility and effectiveness of an automated telehealth intervention to improve illness self-management in people with serious psychiatric and medical disorders.

Authors:  Sarah I Pratt; Stephen J Bartels; Kim T Mueser; John A Naslund; Rosemarie Wolfe; Heather S Pixley; Louis Josephson
Journal:  Psychiatr Rehabil J       Date:  2013-12

6.  The E-Coach technology-assisted care transition system: a pragmatic randomized trial.

Authors:  Christine S Ritchie; Thomas K Houston; Joshua S Richman; Heather J Sobko; Eta S Berner; Benjamin B Taylor; Amanda H Salanitro; Julie L Locher
Journal:  Transl Behav Med       Date:  2016-09       Impact factor: 3.046

7.  Individualized electronic decision support and reminders to improve diabetes care in the community: COMPETE II randomized trial.

Authors:  Anne Holbrook; Lehana Thabane; Karim Keshavjee; Lisa Dolovich; Bob Bernstein; David Chan; Sue Troyan; Gary Foster; Hertzel Gerstein
Journal:  CMAJ       Date:  2009-07-07       Impact factor: 8.262

8.  Mobilizing your medications: an automated medication reminder application for mobile phones and hypertension medication adherence in a high-risk urban population.

Authors:  Samir Patel; Laura Jacobus-Kantor; Lorraine Marshall; Clark Ritchie; Michelle Kaplinski; Parvinder S Khurana; Richard J Katz
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

9.  Structured scaffolding for reflection and problem solving in diabetes self-management: qualitative study of mobile diabetes detective.

Authors:  Lena Mamykina; Elizabeth M Heitkemper; Arlene M Smaldone; Rita Kukafka; Heather Cole-Lewis; Patricia G Davidson; Elizabeth D Mynatt; Jonathan N Tobin; Andrea Cassells; Carrie Goodman; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2016-01-14       Impact factor: 4.497

Review 10.  Interactive voice response interventions targeting behaviour change: a systematic literature review with meta-analysis and meta-regression.

Authors:  Stergiani Tsoli; Stephen Sutton; Aikaterini Kassavou
Journal:  BMJ Open       Date:  2018-02-24       Impact factor: 2.692

  10 in total

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