Literature DB >> 21347080

Feasibility of mobile phone-based management of chronic illness.

Joshua C Smith1, Bruce R Schatz.   

Abstract

According to the CDC, chronic conditions such as heart disease, cancer, and diabetes cause 75% of healthcare spending in the United States and contribute to nearly seven in ten American deaths. However, despite the prevalence and high-cost of chronic disease, they are also among the most preventable of health problems1. How can we use technology to improve self-care, reduce costs, and lessen the burden on medical professionals? Devices to help manage chronic illness have been marketed for years, but are these specialized devices really necessary? In this paper, the authors identify the aspects of the major chronic illnesses that most need to be controlled and monitored in the US today and explore the feasibility of using current mobile phone technology to improve the management of chronic illness. Here we show that even the average mobile phone is capable of improving the management of all relevant health features in some way.

Entities:  

Mesh:

Year:  2010        PMID: 21347080      PMCID: PMC3041419     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  15 in total

1.  The next generation of mobile medication management solutions.

Authors:  Chris Nugent; Dewar Finlay; Richard Davies; Maurice Mulvenna; Jonathan Wallace; Cristiano Paggetti; Elena Tamburini; Norman Black
Journal:  Int J Electron Healthc       Date:  2007

Review 2.  Health dialog systems for patients and consumers.

Authors:  Timothy Bickmore; Toni Giorgino
Journal:  J Biomed Inform       Date:  2006-01-20       Impact factor: 6.317

Review 3.  Behavior change interventions delivered by mobile telephone short-message service.

Authors:  Brianna S Fjeldsoe; Alison L Marshall; Yvette D Miller
Journal:  Am J Prev Med       Date:  2009-02       Impact factor: 5.043

4.  Breath sounds, asthma, and the mobile phone.

Authors:  K Anderson; Y Qiu; A R Whittaker; M Lucas
Journal:  Lancet       Date:  2001-10-20       Impact factor: 79.321

5.  Seven chronic conditions: their impact on US adults' activity levels and use of medical services.

Authors:  L M Verbrugge; D L Patrick
Journal:  Am J Public Health       Date:  1995-02       Impact factor: 9.308

6.  Designing mobile dietary management support technologies for people with diabetes.

Authors:  Eirik Arsand; James T Tufano; James D Ralston; Per Hjortdahl
Journal:  J Telemed Telecare       Date:  2008       Impact factor: 6.184

7.  COPD - endurance training via mobile phone.

Authors:  Shu Hui Hung; Huan Chin Tseng; Wen Ho Tsai; Hsin Hung Lin; Jen Hsien Cheng; Yi Ming Chang
Journal:  AMIA Annu Symp Proc       Date:  2007-10-11

8.  Supportive intervention using a mobile phone in behavior modification.

Authors:  David H Hareva; Hiroki Okada; Tomoki Kitawaki; Hisao Oka
Journal:  Acta Med Okayama       Date:  2009-04       Impact factor: 0.892

9.  Computerized Automated Reminder Diabetes System (CARDS): e-mail and SMS cell phone text messaging reminders to support diabetes management.

Authors:  David A Hanauer; Katherine Wentzell; Nikki Laffel; Lori M Laffel
Journal:  Diabetes Technol Ther       Date:  2009-02       Impact factor: 6.118

10.  Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial.

Authors:  Robert Hurling; Michael Catt; Marco De Boni; Bruce William Fairley; Tina Hurst; Peter Murray; Alannah Richardson; Jaspreet Singh Sodhi
Journal:  J Med Internet Res       Date:  2007-04-27       Impact factor: 5.428

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  12 in total

1.  Can integrating health literacy into the patient-centered medical home help us weather the perfect storm?

Authors:  Jessica R Ridpath; Eric B Larson; Sarah M Greene
Journal:  J Gen Intern Med       Date:  2012-01-04       Impact factor: 5.128

2.  Predictors of adherence to follow-up recommendations after an abnormal Pap smear among underserved inner-city women.

Authors:  Suzanne M Miller; Erin K Tagai; Kuang-Yi Wen; Minsun Lee; Siu-Kuen Azor Hui; Deirdre Kurtz; John Scarpato; Enrique Hernandez
Journal:  Patient Educ Couns       Date:  2017-01-31

3.  Adherence with physical activity monitoring wearable devices in a community-based population: observations from the Washington, D.C., Cardiovascular Health and Needs Assessment.

Authors:  Leah R Yingling; Valerie Mitchell; Colby R Ayers; Marlene Peters-Lawrence; Gwenyth R Wallen; Alyssa T Brooks; James F Troendle; Joel Adu-Brimpong; Samantha Thomas; JaWanna Henry; Johnetta N Saygbe; Dana M Sampson; Allan A Johnson; Avis P Graham; Lennox A Graham; Kenneth L Wiley; Tiffany Powell-Wiley
Journal:  Transl Behav Med       Date:  2017-12       Impact factor: 3.046

4.  Analyzing Description, User Understanding and Expectations of AI in Mobile Health Applications.

Authors:  Zhaoyuan Su; Mayara Costa Figueiredo; Jueun Jo; Kai Zheng; Yunan Chen
Journal:  AMIA Annu Symp Proc       Date:  2021-01-25

5.  Improving symptom communication through personal digital assistants: the CHAT (Communicating Health Assisted by Technology) project.

Authors:  Douglas M Post; Charles L Shapiro; Donald J Cegala; Prabu David; Mira L Katz; Jessica L Krok; Gary S Phillips; Ann Sheck McAlearney; Jennifer S Lehman; William Hicks; Electra D Paskett
Journal:  J Natl Cancer Inst Monogr       Date:  2013-12

6.  Cognitive-behavioral intervention to promote smoking cessation for pregnant and postpartum inner city women.

Authors:  Minsun Lee; Suzanne M Miller; Kuang-Yi Wen; Sui-kuen Azor Hui; Pagona Roussi; Enrique Hernandez
Journal:  J Behav Med       Date:  2015-09-03

Review 7.  Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines.

Authors:  Taridzo Chomutare; Luis Fernandez-Luque; Eirik Arsand; Gunnar Hartvigsen
Journal:  J Med Internet Res       Date:  2011-09-22       Impact factor: 5.428

8.  Impact of information technology on the therapy of type-1 diabetes: a case study of children and adolescents in Germany.

Authors:  Rolf-Dietrich Berndt; Claude Takenga; Petra Preik; Sebastian Kuehn; Luise Berndt; Herbert Mayer; Alexander Kaps; Ralf Schiel
Journal:  J Pers Med       Date:  2014-04-16

9.  Quantification of free-living activity patterns using accelerometry in adults with mental illness.

Authors:  Justin J Chapman; James A Roberts; Vinh T Nguyen; Michael Breakspear
Journal:  Sci Rep       Date:  2017-03-07       Impact factor: 4.379

10.  Sleep telemedicine: a survey study of patient preferences.

Authors:  Jessica M Kelly; Lee H Schwamm; Matt T Bianchi
Journal:  ISRN Neurol       Date:  2012-07-09
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