Literature DB >> 23729765

After Dr Google: peer-to-peer health care.

Susannah Fox1.   

Abstract

Although the majority of US adults has Internet access and gathers health information online, the Internet does not replace clinicians. People rate health professionals as their top source for technical questions such as diagnosis and treatment, but nonprofessionals (eg, friends and family) are rated higher for emotional support and quick remedies. For their most recent health issue, 21% of adults say they turned to others who have the same health condition; evidence of people's interest in connecting with and learning from each other. People living with chronic diseases (and their caregivers) are especially likely to say they look online for peer advice. They are pioneering new ways of pursuing health by banding together and sharing knowledge; so-called peer-to-peer health care. Practical tips from fellow patients and caregivers can have far-reaching implications for clinical outcomes. As a parent of a chronically ill child observed: "We all work collaboratively, but I notice that my doctor doesn't. After I've talked with my community online, I go back to him and ask, 'What do your colleagues say about this issue?' And it's clear it didn't occur to him to ask them." Clinicians might do well to look into online patient communities and consider recommending them as resources for their patients. Clinicians might look at patient networks as a model for their own collaborative learning process as well. Linking the expertise of patients, families, and clinicians holds promise for further improving care and outcomes.

Entities:  

Keywords:  online health information; patient communities; peer-to-peer health care

Mesh:

Year:  2013        PMID: 23729765     DOI: 10.1542/peds.2012-3786K

Source DB:  PubMed          Journal:  Pediatrics        ISSN: 0031-4005            Impact factor:   7.124


  24 in total

1.  Effect of Disclosing Genetic Risk for Coronary Heart Disease on Information Seeking and Sharing: The MI-GENES Study (Myocardial Infarction Genes).

Authors:  Sherry-Ann N Brown; Hayan Jouni; Tariq S Marroush; Iftikhar J Kullo
Journal:  Circ Cardiovasc Genet       Date:  2017-08

2.  From "Infodemics" to Health Promotion: A Novel Framework for the Role of Social Media in Public Health.

Authors:  Dean Schillinger; Deepti Chittamuru; A Susana Ramírez
Journal:  Am J Public Health       Date:  2020-06-18       Impact factor: 9.308

3.  Information-seeking and sharing behavior following genomic testing for diabetes risk.

Authors:  Rachel Mills; Jill Powell; William Barry; Susanne B Haga
Journal:  J Genet Couns       Date:  2014-06-14       Impact factor: 2.537

4.  I Read It Online: Understanding How Undergraduate Students Assess the Accuracy of Online Sources of Health Information.

Authors:  Anthony Dissen; Qudratullah Qadiri; Charles J Middleton
Journal:  Am J Lifestyle Med       Date:  2021-02-19

5.  Scientific Versus Experiential Evidence: Discourse Analysis of the Chronic Cerebrospinal Venous Insufficiency Debate in a Multiple Sclerosis Forum.

Authors:  Janka Koschack; Lara Weibezahl; Tim Friede; Wolfgang Himmel; Philip Makedonski; Jens Grabowski
Journal:  J Med Internet Res       Date:  2015-07-01       Impact factor: 5.428

6.  Using the internet to seek information about genetic and rare diseases: a case study comparing data from 2006 and 2011.

Authors:  Tamandra Morgan; Johanna Schmidt; Christy Haakonsen; Janine Lewis; Maria Della Rocca; Stephanie Morrison; Barbara Biesecker; Kimberly A Kaphingst
Journal:  JMIR Res Protoc       Date:  2014-02-24

7.  Dr Google and the consumer: a qualitative study exploring the navigational needs and online health information-seeking behaviors of consumers with chronic health conditions.

Authors:  Kenneth Lee; Kreshnik Hoti; Jeffery David Hughes; Lynne Emmerton
Journal:  J Med Internet Res       Date:  2014-12-02       Impact factor: 5.428

8.  Alemtuzumab in Multiple Sclerosis: Lessons from Social Media in Enhancing Patient Care.

Authors:  Louise Rath; Nirosen Vijiaratnam; Olga Skibina
Journal:  Int J MS Care       Date:  2017 Nov-Dec

9.  A collaborative learning health system agent-based model: Computational and face validity.

Authors:  Michael Seid; David Bridgeland; Alexandra Bridgeland; David M Hartley
Journal:  Learn Health Syst       Date:  2021-04-09

10.  Using goal-directed design to create a novel system for improving chronic illness care.

Authors:  David Fore; Linda M Goldenhar; Peter A Margolis; Michael Seid
Journal:  JMIR Res Protoc       Date:  2013-10-29
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