Literature DB >> 23759391

Safety events during an automated telephone self-management support intervention.

Courtney R Lyles1, Dean Schillinger, Andrea Lopez, Margaret Handley, Neda Ratanawongsa, Urmimala Sarkar.   

Abstract

BACKGROUND: Interactive health information technology (HIT) can support the complex self-management tasks for diabetes. However, less is known about between-visit interactions and patient safety among chronic illness patients treated in the outpatient setting.
METHODS: We classified 13 categories for safety events and potential safety events within a larger trial evaluating a multilingual automated telephone self-management support system for diabetes using interactive voice response. Participants could trigger safety concerns by reporting hyperglycemia or hypoglycemia, inability to obtain medications, medication nonadherence and side effects, and needing appointments and/or supplies. We then examined these triggers across patient demographic and health characteristics to determine which patients were most likely to experience safety events.
RESULTS: Overall, there were 360 safety triggers that occurred among 155 participants, which represented 53% of individuals and 7.6% of all automated calls over the 27-week intervention. The most common triggers were for pain or medication side effects (22%) and not checking blood sugars (13%). In adjusted models, race/ethnicity and language were related to safety triggers; Spanish-speaking participants were significantly (p = .02) more likely than English-speaking participants to experience a safety trigger, and black participants were marginally more likely (p = .09) than white participants to experience a safety trigger.
CONCLUSION: About half of patients enrolled in a self-management technology intervention triggered at least one potential safety event over the course of the trial, and this was more frequent among some patients. Systems implementing HIT strategies to improve self-care and remote monitoring should consider specific program design elements to address these potential safety events.
© 2013 Diabetes Technology Society.

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Mesh:

Year:  2013        PMID: 23759391      PMCID: PMC3869126          DOI: 10.1177/193229681300700303

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  17 in total

Review 1.  Ambulatory patient safety. What we know and need to know.

Authors:  Terry Hammons; Neill F Piland; Stephen D Small; Martin J Hatlie; Helen R Burstin
Journal:  J Ambul Care Manage       Date:  2003 Jan-Mar

2.  Is ambulatory patient safety just like hospital safety, only without the "stat"?

Authors:  Robert M Wachter
Journal:  Ann Intern Med       Date:  2006-10-03       Impact factor: 25.391

3.  Do automated calls with nurse follow-up improve self-care and glycemic control among vulnerable patients with diabetes?

Authors:  J D Piette; M Weinberger; S J McPhee; C A Mah; F B Kraemer; L M Crapo
Journal:  Am J Med       Date:  2000-01       Impact factor: 4.965

4.  Brief questions to identify patients with inadequate health literacy.

Authors:  Lisa D Chew; Katharine A Bradley; Edward J Boyko
Journal:  Fam Med       Date:  2004-09       Impact factor: 1.756

5.  Effects of self-management support on structure, process, and outcomes among vulnerable patients with diabetes: a three-arm practical clinical trial.

Authors:  Dean Schillinger; Margaret Handley; Frances Wang; Hali Hammer
Journal:  Diabetes Care       Date:  2009-01-08       Impact factor: 19.112

6.  Seeing in 3-D: examining the reach of diabetes self-management support strategies in a public health care system.

Authors:  Dean Schillinger; Hali Hammer; Frances Wang; Jorge Palacios; Ivonne McLean; Audrey Tang; Sharon Youmans; Margaret Handley
Journal:  Health Educ Behav       Date:  2007-05-18

7.  Use of an interactive, telephone-based self-management support program to identify adverse events among ambulatory diabetes patients.

Authors:  Urmimala Sarkar; Margaret A Handley; Reena Gupta; Audrey Tang; Elizabeth Murphy; Hilary K Seligman; Kaveh G Shojania; Dean Schillinger
Journal:  J Gen Intern Med       Date:  2008-04       Impact factor: 5.128

8.  Identifying patients with post-discharge care problems using an interactive voice response system.

Authors:  Alan J Forster; Loree Boyle; Kaveh G Shojania; Thomas E Feasby; Carl van Walraven
Journal:  J Gen Intern Med       Date:  2009-01-21       Impact factor: 5.128

9.  Quasi-experimental trial of diabetes Self-Management Automated and Real-Time Telephonic Support (SMARTSteps) in a Medicaid managed care plan: study protocol.

Authors:  Neda Ratanawongsa; Margaret A Handley; Judy Quan; Urmimala Sarkar; Kelly Pfeifer; Catalina Soria; Dean Schillinger
Journal:  BMC Health Serv Res       Date:  2012-01-26       Impact factor: 2.655

10.  Web-based collaborative care for type 2 diabetes: a pilot randomized trial.

Authors:  James D Ralston; Irl B Hirsch; James Hoath; Mary Mullen; Allen Cheadle; Harold I Goldberg
Journal:  Diabetes Care       Date:  2008-11-18       Impact factor: 17.152

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  1 in total

Review 1.  Barriers to Remote Health Interventions for Type 2 Diabetes: A Systematic Review and Proposed Classification Scheme.

Authors:  Michelle M Alvarado; Hye-Chung Kum; Karla Gonzalez Coronado; Margaret J Foster; Pearl Ortega; Mark A Lawley
Journal:  J Med Internet Res       Date:  2017-02-13       Impact factor: 5.428

  1 in total

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