Literature DB >> 11067378

Interactive voice response systems in the diagnosis and management of chronic disease.

J D Piette1.   

Abstract

OBJECTIVE: To assess the feasibility, reliability, validity, and potential clinical impact of interactive voice response (IVR) systems in the diagnosis and management of chronic disease. STUDY
DESIGN: Literature review.
RESULTS: Interactive voice response assessment systems have been implemented in the treatment of patients with chronic health problems such as heart failure, diabetes, hypertension, and mental health disorders. The information patients report during IVR assessments is at least as reliable as information obtained via structured clinical interviews or medical record reviews. Patients often are more inclined to report health problems to an IVR system than directly to a clinician. The few outcome evaluations of IVR-supported chronic illness management services indicate that they can have moderate impacts on some health and health behavior outcomes.
CONCLUSIONS: Future research should evaluate the extent to which IVR assessment data can improve the prediction of clinical problems over and above what is possible using data usually available to primary care providers. Studies also should evaluate the outcomes of IVR-supported chronic disease management and the use of IVR assessments to measure variation in patient-centered treatment outcomes.

Entities:  

Mesh:

Year:  2000        PMID: 11067378

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  47 in total

1.  Interactive Voice Response-An Innovative Approach to Post-Stroke Depression Self-Management Support.

Authors:  Lesli E Skolarus; John D Piette; Paul N Pfeiffer; Linda S Williams; Jason Mackey; Rebecca Hughes; Lewis B Morgenstern
Journal:  Transl Stroke Res       Date:  2016-07-09       Impact factor: 6.829

2.  Do daily interactive voice response reports of smoking behavior correspond with retrospective reports?

Authors:  Benjamin A Toll; Ned L Cooney; Sherry A McKee; Stephanie S O'Malley
Journal:  Psychol Addict Behav       Date:  2005-09

3.  Interactive voice response technology: a tool for improving healthcare.

Authors:  Margaret Ross Kraft; Ida Androwich
Journal:  NI 2012 (2012)       Date:  2012-06-23

4.  Difference in Effectiveness of Medication Adherence Intervention by Health Literacy Level.

Authors:  Ashli A Owen-Smith; David H Smith; Cynthia S Rand; Jeffrey O Tom; Reesa Laws; Amy Waterbury; Andrew Williams; William M Vollmer
Journal:  Perm J       Date:  2016-06-29

5.  Interactive voice response version of the late-life function and disability instrument.

Authors:  Feng-Hang Chang; Nancy K Latham; Robert H Friedman; Alan M Jette
Journal:  J Am Geriatr Soc       Date:  2015-04       Impact factor: 5.562

6.  A reusable framework for health counseling dialogue systems based on a behavioral medicine ontology.

Authors:  Timothy W Bickmore; Daniel Schulman; Candace L Sidner
Journal:  J Biomed Inform       Date:  2011-01-08       Impact factor: 6.317

Review 7.  Personal health technology: A new era in cardiovascular disease prevention.

Authors:  Nina C Franklin; Carl J Lavie; Ross A Arena
Journal:  Postgrad Med       Date:  2015-02-18       Impact factor: 3.840

Review 8.  Enhancing support via interactive technologies.

Authors:  John D Piette
Journal:  Curr Diab Rep       Date:  2002-04       Impact factor: 4.810

9.  Preferences for self-management support: findings from a survey of diabetes patients in safety-net health systems.

Authors:  Urmimala Sarkar; John D Piette; Ralph Gonzales; Daniel Lessler; Lisa D Chew; Brendan Reilly; Jolene Johnson; Melanie Brunt; Jennifer Huang; Marsha Regenstein; Dean Schillinger
Journal:  Patient Educ Couns       Date:  2007-11-07

10.  A randomized trial of weekly symptom telemonitoring in advanced lung cancer.

Authors:  Susan E Yount; Nan Rothrock; Michael Bass; Jennifer L Beaumont; Deborah Pach; Thomas Lad; Jyoti Patel; Maria Corona; Rebecca Weiland; Katherine Del Ciello; David Cella
Journal:  J Pain Symptom Manage       Date:  2013-11-07       Impact factor: 3.612

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