Literature DB >> 24073178

How behavioral science can advance digital health.

Sherry Pagoto1, Gary G Bennett.   

Abstract

The field of behavioral science has produced myriad data on health behavior change strategies and leveraged such data into effective human-delivered interventions to improve health. Unfortunately, the impact of traditional health behavior change interventions has been heavily constrained by patient and provider burden, limited ability to measure and intervene upon behavior in real time, variable adherence, low rates of implementation, and poor third-party coverage. Digital health technologies, including mobile phones, sensors, and online social networks, by being available in real time, are being explored as tools to increase our understanding of health behavior and to enhance the impact of behavioral interventions. The recent explosion of industry attention to the development of novel health technologies is exciting but has far outpaced research. This Special Section of Translational Behavioral Medicine, Smartphones, Sensors, and Social Networks: A New Age of Health Behavior Change features a collection of studies that leverage health technologies to measure, change, and/or understand health behavior. We propose five key areas in which behavioral science can improve the impact of digital health technologies on public health. First, research is needed to identify which health technologies actually impact behavior and health outcomes. Second, we need to understand how online social networks can be leveraged to impact health behavior on a large scale. Third, a team science approach is needed in the developmental process of health technologies. Fourth, behavioral scientists should identify how a balance can be struck between the fast pace of innovation and the much slower pace of research. Fifth, behavioral scientists have an integral role in informing the development of health technologies and facilitating the movement of health technologies into the healthcare system.

Entities:  

Keywords:  Digital health; Social networks; mHealth

Year:  2013        PMID: 24073178      PMCID: PMC3771019          DOI: 10.1007/s13142-013-0234-z

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.046


  20 in total

1.  Implementation science approaches for integrating eHealth research into practice and policy.

Authors:  Russell E Glasgow; Siobhan M Phillips; Michael A Sanchez
Journal:  Int J Med Inform       Date:  2013-07-30       Impact factor: 4.046

2.  Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games?

Authors:  Danielle E Schoffman; Gabrielle Turner-McGrievy; Sonya J Jones; Sara Wilcox
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

3.  Twitter classification model: the ABC of two million fitness tweets.

Authors:  Theodore A Vickey; Kathleen Martin Ginis; John G Breslin; Maciej Dabrowski
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

4.  Using a personal digital assistant for self-monitoring influences diet quality in comparison to a standard paper record among overweight/obese adults.

Authors:  Sushama D Acharya; Okan U Elci; Susan M Sereika; Mindi A Styn; Lora E Burke
Journal:  J Am Diet Assoc       Date:  2011-04

5.  Weight loss social support in 140 characters or less: use of an online social network in a remotely delivered weight loss intervention.

Authors:  Gabrielle M Turner-McGrievy; Deborah F Tate
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

6.  Adherence to evidence-based guidelines among diabetes self-management apps.

Authors:  Jessica Y Breland; Vivian M Yeh; Jessica Yu
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

Review 7.  A "SMART" design for building individualized treatment sequences.

Authors:  H Lei; I Nahum-Shani; K Lynch; D Oslin; S A Murphy
Journal:  Annu Rev Clin Psychol       Date:  2011-12-12       Impact factor: 18.561

8.  Social support in an Internet weight loss community.

Authors:  Kevin O Hwang; Allison J Ottenbacher; Angela P Green; M Roseann Cannon-Diehl; Oneka Richardson; Elmer V Bernstam; Eric J Thomas
Journal:  Int J Med Inform       Date:  2009-11-27       Impact factor: 4.046

9.  Using Facebook and text messaging to deliver a weight loss program to college students.

Authors:  Melissa A Napolitano; Sharon Hayes; Gary G Bennett; Allison K Ives; Gary D Foster
Journal:  Obesity (Silver Spring)       Date:  2013-01       Impact factor: 5.002

10.  Implementation of an online pragmatic randomized controlled trial: a methodological case study.

Authors:  Nathan K Cobb; Josée Poirier
Journal:  Transl Behav Med       Date:  2013-09       Impact factor: 3.046

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  51 in total

1.  Improving patient engagement in self-measured blood pressure monitoring using a mobile health technology.

Authors:  Alan L Kaplan; Erica R Cohen; Eyal Zimlichman
Journal:  Health Inf Sci Syst       Date:  2017-10-07

2.  Behavioral response to a just-in-time adaptive intervention (JITAI) to reduce sedentary behavior in obese adults: Implications for JITAI optimization.

Authors:  J Graham Thomas; Dale S Bond
Journal:  Health Psychol       Date:  2015-12       Impact factor: 4.267

Review 3.  Digital health interventions for the prevention of cardiovascular disease: a systematic review and meta-analysis.

Authors:  R Jay Widmer; Nerissa M Collins; C Scott Collins; Colin P West; Lilach O Lerman; Amir Lerman
Journal:  Mayo Clin Proc       Date:  2015-04       Impact factor: 7.616

4.  Varying social media post types differentially impacts engagement in a behavioral weight loss intervention.

Authors:  Sarah B Hales; Charis Davidson; Gabrielle M Turner-McGrievy
Journal:  Transl Behav Med       Date:  2014-12       Impact factor: 3.046

5.  Indicators of retention in remote digital health studies: a cross-study evaluation of 100,000 participants.

Authors:  Abhishek Pratap; Elias Chaibub Neto; Phil Snyder; Carl Stepnowsky; Noémie Elhadad; Daniel Grant; Matthew H Mohebbi; Sean Mooney; Christine Suver; John Wilbanks; Lara Mangravite; Patrick J Heagerty; Pat Areán; Larsson Omberg
Journal:  NPJ Digit Med       Date:  2020-02-17

6.  Content and Usability Evaluation of Medication Adherence Mobile Applications for Use in Pediatrics.

Authors:  Julia K Carmody; Lee A Denson; Kevin A Hommel
Journal:  J Pediatr Psychol       Date:  2019-04-01

7.  Toward a Common Agenda for the Public and Private Sectors to Advance Digital Health Communication.

Authors:  Lorien C Abroms; John P Allegrante; M Elaine Auld; Robert S Gold; William T Riley; Joseph Smyser
Journal:  Am J Public Health       Date:  2019-02       Impact factor: 9.308

8.  Do Arabic weight-loss apps adhere to evidence-informed practices?

Authors:  Aroub A Alnasser; Raja E Amalraj; Arjuna Sathiaseelan; Abdulrahman S Al-Khalifa; Debbi Marais
Journal:  Transl Behav Med       Date:  2016-09       Impact factor: 3.046

Review 9.  Behavioral self-management strategies for practice and exercise should be included in neurologic rehabilitation trials and care.

Authors:  Bruce H Dobkin
Journal:  Curr Opin Neurol       Date:  2016-12       Impact factor: 5.710

10.  Long-Term Follow-up of a Randomized Controlled Trial Evaluating a Mobile Health Intervention for Self-Management in Lung Transplant Recipients.

Authors:  E M Rosenberger; A J DeVito Dabbs; A F DiMartini; D P Landsittel; J M Pilewski; M A Dew
Journal:  Am J Transplant       Date:  2016-10-31       Impact factor: 8.086

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