Literature DB >> 24904713

Uncovering patterns of technology use in consumer health informatics.

Man Hung1, Jillian Conrad1, Shirley D Hon1, Christine Cheng1, Jeremy D Franklin1, Philip Tang1.   

Abstract

Internet usage and accessibility has grown at a staggering rate, influencing technology use for healthcare purposes. The amount of health information technology (Health IT) available through the Internet is immeasurable and growing daily. Health IT is now seen as a fundamental aspect of patient care as it stimulates patient engagement and encourages personal health management. It is increasingly important to understand consumer health IT patterns including who is using specific technologies, how technologies are accessed, factors associated with use, and perceived benefits. To fully uncover consumer patterns it is imperative to recognize common barriers and which groups they disproportionately affect. Finally, exploring future demand and predictions will expose significant opportunities for health IT. The most frequently used health information technologies by consumers are gathering information online, mobile health (mHealth) technologies, and personal health records (PHRs). Gathering health information online is the favored pathway for healthcare consumers as it is used by more consumers and more frequently than any other technology. In regard to mHealth technologies, minority Americans, compared with White Americans utilize social media, mobile Internet, and mobile applications more frequently. Consumers believe PHRs are the most beneficial health IT. PHR usage is increasing rapidly due to PHR integration with provider health systems and health insurance plans. Key issues that have to be explicitly addressed in health IT are privacy and security concerns, health literacy, unawareness, and usability. Privacy and security concerns are rated the number one reason for the slow rate of health IT adoption.

Entities:  

Keywords:  consumer; informatics; medical data; patient; personal health record; technology

Year:  2013        PMID: 24904713      PMCID: PMC4041299          DOI: 10.1002/wics.1276

Source DB:  PubMed          Journal:  Wiley Interdiscip Rev Comput Stat        ISSN: 1939-0068


  37 in total

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Authors:  Leslie Beard; Rebecca Schein; Dante Morra; Kumanan Wilson; Jennifer Keelan
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Journal:  J Am Med Inform Assoc       Date:  2008-04-24       Impact factor: 4.497

5.  Why do patients seek an alternative channel? The effects of unmet needs on patients' health-related Internet use.

Authors:  Sun Young Lee; Robert Hawkins
Journal:  J Health Commun       Date:  2010-03

6.  Factors affecting home care patients' acceptance of a web-based interactive self-management technology.

Authors:  Calvin K L Or; Ben-Tzion Karsh; Dolores J Severtson; Laura J Burke; Roger L Brown; Patricia Flatley Brennan
Journal:  J Am Med Inform Assoc       Date:  2010-12-03       Impact factor: 4.497

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8.  Current Challenge in Consumer Health Informatics: Bridging the Gap between Access to Information and Information Understanding.

Authors:  Laurence Alpay; John Verhoef; Bo Xie; Dov Te'eni; J H M Zwetsloot-Schonk
Journal:  Biomed Inform Insights       Date:  2009-01-01

Review 9.  Health and illness in a connected world: how might sharing experiences on the internet affect people's health?

Authors:  Sue Ziebland; Sally Wyke
Journal:  Milbank Q       Date:  2012-06       Impact factor: 4.911

10.  Patient perceptions of a personal health record: a test of the diffusion of innovation model.

Authors:  Srinivas Emani; Cyrus K Yamin; Ellen Peters; Andrew S Karson; Stuart R Lipsitz; Jonathan S Wald; Deborah H Williams; David W Bates
Journal:  J Med Internet Res       Date:  2012-11-05       Impact factor: 5.428

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  10 in total

1.  Patient characteristics associated with objective measures of digital health tool use in the United States: A literature review.

Authors:  Sarah S Nouri; Julia Adler-Milstein; Crishyashi Thao; Prasad Acharya; Jill Barr-Walker; Urmimala Sarkar; Courtney Lyles
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

2.  Focus Section Health IT Usability: Applying a Task-Technology Fit Model to Adapt an Electronic Patient Portal for Patient Work.

Authors:  Sana B Ali; Juana Romero; Kevin Morrison; Baria Hafeez; Jessica S Ancker
Journal:  Appl Clin Inform       Date:  2018-03-14       Impact factor: 2.342

3.  Does Informatics Enable or Inhibit the Delivery of Patient-centred, Coordinated, and Quality-assured Care: a Delphi Study. A Contribution of the IMIA Primary Health Care Informatics Working Group.

Authors:  H Liyanage; A Correa; S-T Liaw; C Kuziemsky; A L Terry; S de Lusignan
Journal:  Yearb Med Inform       Date:  2015-06-30

4.  Health Consumer Engagement, Enablement, and Empowerment in Smartphone-Enabled Home-Based Diagnostic Testing for Viral Infections: Mixed Methods Study.

Authors:  Cynthia LeRouge; Polina Durneva; Victoria Lyon; Matthew Thompson
Journal:  JMIR Mhealth Uhealth       Date:  2022-06-30       Impact factor: 4.947

5.  Systematic review of smartphone-based passive sensing for health and wellbeing.

Authors:  Victor P Cornet; Richard J Holden
Journal:  J Biomed Inform       Date:  2017-12-14       Impact factor: 6.317

6.  Technology use and preferences to support clinical practice guideline awareness and adherence in individuals with sickle cell disease.

Authors:  Amol Utrankar; Tilicia L Mayo-Gamble; Whitney Allen; Laurie Novak; Adetola A Kassim; Kemberlee Bonnet; David Schlundt; Velma M Murry; Gretchen Purcell Jackson; Michael DeBaun; Robert M Cronin
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

7.  Using eHealth Technologies: Interests, Preferences, and Concerns of Older Adults.

Authors:  Patrick Ware; Susan J Bartlett; Guy Paré; Iphigenia Symeonidis; Cara Tannenbaum; Gillian Bartlett; Lise Poissant; Sara Ahmed
Journal:  Interact J Med Res       Date:  2017-03-23

8.  The Association Between Commonly Investigated User Factors and Various Types of eHealth Use for Self-Care of Type 2 Diabetes: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway.

Authors:  Naoe Tatara; Hugo Lewi Hammer; Hege Kristin Andreassen; Jelena Mirkovic; Marte Karoline Råberg Kjøllesdal
Journal:  JMIR Public Health Surveill       Date:  2017-10-05

9.  3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study.

Authors:  Guido Giunti
Journal:  JMIR Serious Games       Date:  2018-08-24       Impact factor: 4.143

10.  Body Mass Index and the Literacy on Obesity in Relation to Media Following.

Authors:  Goran Belojevic; Lilijana Sokolova Djokic; Biljana Gligorova; Ines Banjari; Marko Stojanovic; Dusica Stojanovic
Journal:  Iran J Public Health       Date:  2018-08       Impact factor: 1.429

  10 in total

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