Literature DB >> 27147516

Use of Mobile Health Applications for Health-Seeking Behavior Among US Adults.

Soumitra S Bhuyan1, Ning Lu2, Aastha Chandak3, Hyunmin Kim4, David Wyant5, Jay Bhatt6, Satish Kedia7, Cyril F Chang8.   

Abstract

This study explores the use of mobile health applications (mHealth apps) on smartphones or tablets for health-seeking behavior among US adults. Data was obtained from cycle 4 of the 4th edition of the Health Information National Trends Survey (HINTS 4). Weighted multivariate logistic regression models examined predictors of 1) having mHealth apps, 2) usefulness of mHealth apps in achieving health behavior goals, 3) helpfulness in medical care decision-making, and 4) asking a physician new questions or seeking a second opinion. Using the Andersen Model of health services utilization, independent variables of interest were grouped under predisposing factors (age, gender, race, ethnicity, and marital status), enabling factors (education, employment, income, regular provider, health insurance, and rural/urban location of residence), and need factors (general health, confidence in their ability to take care of health, Body Mass Index, smoking status, and number of comorbidities). In a national sample of adults who had smartphones or tablets, 36 % had mHealth apps on their devices. Among those with apps, 60 % reported the usefulness of mHealth apps in achieving health behavior goals, 35 % reported their helpfulness for medical care decision-making, and 38 % reported their usefulness in asking their physicians new questions or seeking a second opinion. The multivariate models revealed that respondents were more likely to have mHealth apps if they had more education, health insurance, were confident in their ability to take good care of themselves, or had comorbidities, and were less likely to have them if they were older, had higher income, or lived in rural areas. In terms of usefulness of mHealth apps, those who were older and had higher income were less likely to report their usefulness in achieving health behavior goals. Those who were older, African American, and had confidence in their ability to take care of their health were more likely to respond that the mHealth apps were helpful in making a medical care decision and asking their physicians new questions or for a second opinion. Potentially, mHealth apps may reduce the burden on primary care, reduce costs, and improve the quality of care. However, several personal-level factors were associated with having mHealth apps and their perceived helpfulness among their users, indicating a multidimensional digital divide in the population of US adults.

Keywords:  Health care apps; Health-seeking behavior; Mobile health; Smartphones

Mesh:

Year:  2016        PMID: 27147516     DOI: 10.1007/s10916-016-0492-7

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  20 in total

1.  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

2.  Trust and sources of health information: the impact of the Internet and its implications for health care providers: findings from the first Health Information National Trends Survey.

Authors:  Bradford W Hesse; David E Nelson; Gary L Kreps; Robert T Croyle; Neeraj K Arora; Barbara K Rimer; Kasisomayajula Viswanath
Journal:  Arch Intern Med       Date:  2005 Dec 12-26

3.  FDA regulation of mobile health technologies.

Authors:  Nathan G Cortez; I Glenn Cohen; Aaron S Kesselheim
Journal:  N Engl J Med       Date:  2014-07-24       Impact factor: 91.245

4.  A framework for the study of access to medical care.

Authors:  L A Aday; R Andersen
Journal:  Health Serv Res       Date:  1974       Impact factor: 3.402

5.  Revisiting the behavioral model and access to medical care: does it matter?

Authors:  R M Andersen
Journal:  J Health Soc Behav       Date:  1995-03

6.  Equity of access to medical care: a conceptual and empirical overview.

Authors:  L A Aday; R M Andersen
Journal:  Med Care       Date:  1981-12       Impact factor: 2.983

7.  Feasibility and Preliminary Outcomes of a Web and Smartphone-Based Medication Self-Management Platform for Chronically Ill Patients.

Authors:  Helena Anglada-Martínez; Maite Martin-Conde; Marina Rovira-Illamola; Jose Miguel Sotoca-Momblona; Ethel Sequeira; Valentin Aragunde; M Angels Moreno; Marta Catalan; Carles Codina-Jané
Journal:  J Med Syst       Date:  2016-02-12       Impact factor: 4.460

Review 8.  Empirical studies on usability of mHealth apps: a systematic literature review.

Authors:  Belén Cruz Zapata; José Luis Fernández-Alemán; Ali Idri; Ambrosio Toval
Journal:  J Med Syst       Date:  2015-01-20       Impact factor: 4.460

9.  Effect of a mobile phone intervention on quitting smoking in a young adult population of smokers: randomized controlled trial study protocol.

Authors:  Neill Bruce Baskerville; Laura Louise Struik; David Hammond; G Emmanuel Guindon; Cameron D Norman; Robyn Whittaker; Catherine M Burns; Kelly A Grindrod; K Stephen Brown
Journal:  JMIR Res Protoc       Date:  2015-01-19

10.  Health App Use Among US Mobile Phone Owners: A National Survey.

Authors:  Paul Krebs; Dustin T Duncan
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-04       Impact factor: 4.773

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  35 in total

1.  Differences in Access to and Use of Electronic Personal Health Information Between Rural and Urban Residents in the United States.

Authors:  Alexandra J Greenberg; Danielle Haney; Kelly D Blake; Richard P Moser; Bradford W Hesse
Journal:  J Rural Health       Date:  2017-01-11       Impact factor: 4.333

2.  Who are mobile app users from healthy lifestyle websites? Analysis of patterns of app use and user characteristics.

Authors:  Steriani Elavsky; David Smahel; Hana Machackova
Journal:  Transl Behav Med       Date:  2017-12       Impact factor: 3.046

3.  Acceptance and Use of eHealth/mHealth Applications for Self-Management Among Cancer Survivors.

Authors:  Yun Jiang; Brady T West; Debra L Barton; Marcelline R Harris
Journal:  Stud Health Technol Inform       Date:  2017

4.  Seeking Medical Information Using Mobile Apps and the Internet: Are Family Caregivers Different from the General Public?

Authors:  Hyunmin Kim; M Paige Powell; Soumitra S Bhuyan
Journal:  J Med Syst       Date:  2017-01-18       Impact factor: 4.460

Review 5.  Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework.

Authors:  Alan Yang; Neetu Singh; Upkar Varshney
Journal:  J Med Syst       Date:  2022-09-07       Impact factor: 4.920

Review 6.  Mobile Applications for Control and Self Management of Diabetes: A Systematic Review.

Authors:  Petra Povalej Brzan; Eva Rotman; Majda Pajnkihar; Petra Klanjsek
Journal:  J Med Syst       Date:  2016-08-13       Impact factor: 4.460

7.  Self-management of accidental bowel leakage and interest in a supportive m-Health app among women.

Authors:  Donna Z Bliss; Olga V Gurvich; Sunita Patel; Isuzu Meyer; Holly E Richter
Journal:  Int Urogynecol J       Date:  2019-12-24       Impact factor: 2.894

8.  Person-Generated Health Data in Women's Health: Protocol for a Scoping Review.

Authors:  Jalisa Lynn Karim; Aline Talhouk
Journal:  JMIR Res Protoc       Date:  2021-05-28

9.  Exploring the Use of Mobile and Wearable Technology among University Student Athletes in Lebanon: A Cross-Sectional Study.

Authors:  Marco Bardus; Cecile Borgi; Marwa El-Harakeh; Tarek Gherbal; Samer Kharroubi; Elie-Jacques Fares
Journal:  Sensors (Basel)       Date:  2021-06-30       Impact factor: 3.576

Review 10.  Mobile health in preventive cardiology: current status and future perspective.

Authors:  Michael Kozik; Nino Isakadze; Seth S Martin
Journal:  Curr Opin Cardiol       Date:  2021-09-01       Impact factor: 2.108

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