Social Health Inequalities and eHealth: A Literature Review With Qualitative Synthesis of Theoretical and Empirical Studies

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Abstract

Background

eHealth is developing rapidly and brings with it a promise to reduce social health inequalities (SHIs). Yet, it appears that it also has the potential to increase them.

Objectives

The general objective of this review was to set out how to ensure that eHealth contributes to reducing SHIs rather than exacerbating them. This review has three objectives: (1) identifying characteristics of people at risk of experiencing social inequality in health; (2) determining the possibilities of developing eHealth tools that avoid increasing SHI; and (3) modeling the process of using an eHealth tool by people vulnerable to SHI.

Methods

Following the EPPI approach (Evidence for Policy and Practice of Information of the Institute of Education at the University of London), two databases were searched for the terms SHIs and eHealth and their derivatives in titles and abstracts. Qualitative, quantitative, and mixed articles were included and evaluated. The software NVivo (QSR International) was employed to extract the data and allow for a metasynthesis of the data.

Results

Of the 73 articles retained, 10 were theoretical, 7 were from reviews, and 56 were based on empirical studies. Of the latter, 40 used a quantitative approach, 8 used a qualitative approach, 4 used mixed methods approach, and only 4 were based on participatory research-action approach. The digital divide in eHealth is a serious barrier and contributes greatly to SHI. Ethnicity and low income are the most commonly used characteristics to identify people at risk of SHI. The most promising actions for reducing SHI via eHealth are to aim for universal access to the tool of eHealth, become aware of users’ literacy level, create eHealth tools that respect the cultural attributes of future users, and encourage the participation of people at risk of SHI.

Conclusions

eHealth has the potential to widen the gulf between those at risk of SHI and the rest of the population. The widespread expansion of eHealth technologies calls for rigorous consideration of interventions, which are not likely to exacerbate SHI.

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Social Media Use in the United States: Implications for Health Communication

Wen-ying Chou, Yvonne M Hunt, Ellen Beckjord … (2009)

Background Given the rapid changes in the communication landscape brought about by participative Internet use and social media, it is important to develop a better understanding of these technologies and their impact on health communication. The first step in this effort is to identify the characteristics of current social media users. Up-to-date reporting of current social media use will help monitor the growth of social media and inform health promotion/communication efforts aiming to effectively utilize social media. Objective The purpose of the study is to identify the sociodemographic and health-related factors associated with current adult social media users in the United States. Methods Data came from the 2007 iteration of the Health Information National Trends Study (HINTS, N = 7674). HINTS is a nationally representative cross-sectional survey on health-related communication trends and practices. Survey respondents who reported having accessed the Internet (N = 5078) were asked whether, over the past year, they had (1) participated in an online support group, (2) written in a blog, (3) visited a social networking site. Bivariate and multivariate logistic regression analyses were conducted to identify predictors of each type of social media use. Results Approximately 69% of US adults reported having access to the Internet in 2007. Among Internet users, 5% participated in an online support group, 7% reported blogging, and 23% used a social networking site. Multivariate analysis found that younger age was the only significant predictor of blogging and social networking site participation; a statistically significant linear relationship was observed, with younger categories reporting more frequent use. Younger age, poorer subjective health, and a personal cancer experience predicted support group participation. In general, social media are penetrating the US population independent of education, race/ethnicity, or health care access. Conclusions Recent growth of social media is not uniformly distributed across age groups; therefore, health communication programs utilizing social media must first consider the age of the targeted population to help ensure that messages reach the intended audience. While racial/ethnic and health status–related disparities exist in Internet access, among those with Internet access, these characteristics do not affect social media use. This finding suggests that the new technologies, represented by social media, may be changing the communication pattern throughout the United States.

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Understanding health literacy for strategic health marketing: eHealth literacy, health disparities, and the digital divide.

Graham Bodie, Sucharita M Dutta (2007)

Even despite policy efforts aimed at reducing health-related disparities, evidence mounts that population-level gaps in literacy and healthcare quality are increasing. This widening of disparities in American culture is likely to worsen over the coming years due, in part, to our increasing reliance on Internet-based technologies to disseminate health information and services. The purpose of the current article is to incorporate health literacy into an Integrative Model of eHealth Use. We argue for this theoretical understanding of eHealth literacy and propose that macro-level disparities in social structures are connected to health disparities through the micro-level conduits of eHealth literacy, motivation, and ability. In other words, structural inequities reinforce themselves and continue to contribute to healthcare disparities through the differential distribution of technologies that simultaneously enhance and impede literacy, motivation, and ability of different groups (and individuals) in the population. We conclude the article by suggesting pragmatic implications of our analysis.

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Using Evidence-Based Internet Interventions to Reduce Health Disparities Worldwide

Ricardo Muñoz (2010)

Health disparities are a persistent problem worldwide. A major obstacle to reducing health disparities is reliance on “consumable interventions,” that is, interventions that, once used, cannot be used again. To reduce health disparities, interventions are required that can be used again and again without losing their therapeutic power, that can reach people even if local health care systems do not provide them with needed health care, and that can be shared globally without taking resources away from the populations where the interventions were developed. This paper presents the argument that automated self-help evidence-based Internet interventions meet the above criteria and can contribute to the reduction of health disparities worldwide. Proof-of-concept studies show that evidence-based Internet interventions can reach hundreds of thousands of people worldwide and could be used in public sector settings to augment existing offerings and provide services not currently available (such as prevention interventions). This paper presents a framework for systematically filling in a matrix composed of columns representing common health problems and rows representing languages. To bring the benefits of evidence-based Internet interventions to the underserved, public sector clinics should establish eHealth resource centers, through which patients could be screened online for common disorders and provided with evidence-based Internet intervention services not currently available at the clinics. These resources should be available in the patients’ languages, in formats that do not require literacy, and that can be accessed with mobile devices. Such evidence-based Internet interventions should then be shared with public sector clinics as well as individuals anywhere in the world. Finally, this paper addresses sustainability and describes a continuum of evidence-based Internet interventions to share nationally and across the world. This approach to expanding health service delivery will significantly contribute to a reduction of health disparities worldwide, adding to the often-quoted slogan, “Think globally, act locally,” a third line: “Share globally.”

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Author and article information

Contributors

Karine Latulippe:

Department of Studies of Teaching and LearningLaval University2320, rue des BibliothèquesQuébec, QC, G1V 0A6Canada1 418 457 3542karine.latulippe.3@ulaval.ca

ORCID: http://orcid.org/0000-0001-7998-6498

Journal

Journal ID (nlm-ta): J Med Internet Res

Journal ID (iso-abbrev): J. Med. Internet Res

Journal ID (publisher-id): JMIR

Title: Journal of Medical Internet Research

Publisher: JMIR Publications (Toronto, Canada )

ISSN (Print): 1439-4456

ISSN (Electronic): 1438-8871

Publication date Collection: April 2017

Publication date (Electronic): 27 April 2017

Volume: 19

Issue: 4

Electronic Location Identifier: e136

Affiliations

[1] ¹Department of Studies of Teaching and Learning Laval University Québec, QCCanada

[2] ²Faculté de médecine Département de réadaptation Laval University Québec, QCCanada

[3] ³Centre d'Excellence du Vieillissement de Québec, Chu de Québec Québec, QCCanada

Author notes

Corresponding Author: Karine Latulippe karine.latulippe.3@ 123456ulaval.ca

Author information

Karine Latulippe http://orcid.org/0000-0001-7998-6498

Christine Hamel http://orcid.org/0000-0003-3243-1043

Dominique Giroux http://orcid.org/0000-0002-3264-5319

Article

Publisher ID: v19i4e136

DOI: 10.2196/jmir.6731

PMC ID: 5427250

PubMed ID: 28450271

SO-VID: 9e73003f-2464-4d71-9421-7ad3d93f62bc

License:

This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.

History

Date received : 1 October 2016

Date revision requested : 29 December 2016

Date revision received : 9 February 2017

Date accepted : 2 March 2017

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