Literature DB >> 24493770

Mobile phone diabetes project led to improved glycemic control and net savings for Chicago plan participants.

Shantanu Nundy, Jonathan J Dick, Chia-Hung Chou, Robert S Nocon, Marshall H Chin, Monica E Peek.   

Abstract

Even with the best health care available, patients with chronic illnesses typically spend no more than a few hours a year in a health care setting, while their outcomes are largely determined by their activities during the remaining 5,000 waking hours of the year. As a widely available, low-cost technology, mobile phones are a promising tool to use in engaging patients in behavior change and facilitating self-care between visits. We examined the impact of a six-month mobile health (mHealth) demonstration project among adults with diabetes who belonged to an academic medical center's employee health plan. In addition to pre-post improvements in glycemic control (p=0.01) and patients' satisfaction with overall care (p=0.04), we observed a net cost savings of 8.8 percent. Those early results suggest that mHealth programs can support health care organizations' pursuit of the triple aim of improving patients' experiences with care, improving population health, and reducing the per capita cost of health care

Entities:  

Keywords:  Chronic Care; Information Technology; Organization and Delivery of Care; Primary Care; Research And Technology

Mesh:

Substances:

Year:  2014        PMID: 24493770      PMCID: PMC4034376          DOI: 10.1377/hlthaff.2013.0589

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  14 in total

1.  Connecting the circle from home to heart-failure disease management.

Authors:  Akshay S Desai; Lynne Warner Stevenson
Journal:  N Engl J Med       Date:  2010-11-16       Impact factor: 91.245

2.  Telemonitoring in patients with heart failure.

Authors:  Sarwat I Chaudhry; Jennifer A Mattera; Jeptha P Curtis; John A Spertus; Jeph Herrin; Zhenqiu Lin; Christopher O Phillips; Beth V Hodshon; Lawton S Cooper; Harlan M Krumholz
Journal:  N Engl J Med       Date:  2010-11-16       Impact factor: 91.245

3.  Developing a behavioral model for mobile phone-based diabetes interventions.

Authors:  Shantanu Nundy; Jonathan J Dick; Marla C Solomon; Monica E Peek
Journal:  Patient Educ Couns       Date:  2012-10-10

4.  The emerging role of cell phone technology in ambulatory care.

Authors:  Peter Boland
Journal:  J Ambul Care Manage       Date:  2007 Apr-Jun

Review 5.  Healthcare via cell phones: a systematic review.

Authors:  Santosh Krishna; Suzanne Austin Boren; E Andrew Balas
Journal:  Telemed J E Health       Date:  2009-04       Impact factor: 3.536

Review 6.  Effects of type 2 diabetes behavioural telehealth interventions on glycaemic control and adherence: a systematic review.

Authors:  Mandy Cassimatis; David J Kavanagh
Journal:  J Telemed Telecare       Date:  2012-12-03       Impact factor: 6.184

7.  Development of a brief diabetes distress screening instrument.

Authors:  Lawrence Fisher; Russell E Glasgow; Joseph T Mullan; Marilyn M Skaff; William H Polonsky
Journal:  Ann Fam Med       Date:  2008 May-Jun       Impact factor: 5.166

8.  Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.

Authors:  Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; Shoshana H Ballew; Ann L Gruber-Baldini
Journal:  Diabetes Care       Date:  2011-07-25       Impact factor: 19.112

9.  Intervention costs and cost-effectiveness of a successful telephonic intervention to promote diabetes control.

Authors:  Clyde B Schechter; Hillel W Cohen; Celia Shmukler; Elizabeth A Walker
Journal:  Diabetes Care       Date:  2012-07-30       Impact factor: 19.112

10.  Using mobile health to support the chronic care model: developing an institutional initiative.

Authors:  Shantanu Nundy; Jonathan J Dick; Anna P Goddu; Patrick Hogan; Chen-Yuan E Lu; Marla C Solomon; Arnell Bussie; Marshall H Chin; Monica E Peek
Journal:  Int J Telemed Appl       Date:  2012-12-05
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  48 in total

Review 1.  mHealth Interventions for Disadvantaged and Vulnerable People with Type 2 Diabetes.

Authors:  Lindsay Satterwhite Mayberry; Courtney R Lyles; Brian Oldenburg; Chandra Y Osborn; Makenzie Parks; Monica E Peek
Journal:  Curr Diab Rep       Date:  2019-11-25       Impact factor: 4.810

2.  A user-centered model for designing consumer mobile health (mHealth) applications (apps).

Authors:  Rebecca Schnall; Marlene Rojas; Suzanne Bakken; William Brown; Alex Carballo-Dieguez; Monique Carry; Deborah Gelaude; Jocelyn Patterson Mosley; Jasmine Travers
Journal:  J Biomed Inform       Date:  2016-02-20       Impact factor: 6.317

Review 3.  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

4.  Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature.

Authors:  Sara Belle Donevant; Robin Dawson Estrada; Joan Marie Culley; Brian Habing; Swann Arp Adams
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

5.  Impact of a Telephonic Intervention to Improve Diabetes Control on Health Care Utilization and Cost for Adults in South Bronx, New York.

Authors:  Bahman P Tabaei; Renata E Howland; Jeffrey S Gonzalez; Shadi Chamany; Elizabeth A Walker; Clyde B Schechter; Winfred Y Wu
Journal:  Diabetes Care       Date:  2020-03-04       Impact factor: 19.112

6.  Costs and effects of a telephonic diabetes self-management support intervention using health educators.

Authors:  Clyde B Schechter; Elizabeth A Walker; Felix M Ortega; Shadi Chamany; Lynn D Silver
Journal:  J Diabetes Complications       Date:  2015-11-24       Impact factor: 2.852

Review 7.  Medical devices and diagnostics for cardiovascular diseases in low-resource settings.

Authors:  Helen McGuire; Bernhard H Weigl
Journal:  J Cardiovasc Transl Res       Date:  2014-10-08       Impact factor: 4.132

8.  mHealth Intervention Elements and User Characteristics Determine Utility: A Mixed-Methods Analysis.

Authors:  Lyndsay A Nelson; Shelagh A Mulvaney; Kevin B Johnson; Chandra Y Osborn
Journal:  Diabetes Technol Ther       Date:  2017-01       Impact factor: 6.118

9.  The Most Common Barriers to Glaucoma Medication Adherence: A Cross-Sectional Survey.

Authors:  Paula Anne Newman-Casey; Alan L Robin; Taylor Blachley; Karen Farris; Michele Heisler; Ken Resnicow; Paul P Lee
Journal:  Ophthalmology       Date:  2015-04-24       Impact factor: 12.079

10.  Mobile Health Devices as Tools for Worldwide Cardiovascular Risk Reduction and Disease Management.

Authors:  John D Piette; Justin List; Gurpreet K Rana; Whitney Townsend; Dana Striplin; Michele Heisler
Journal:  Circulation       Date:  2015-11-24       Impact factor: 29.690

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