Use of the Internet as a Health Information Resource Among French Young Adults: Results From a Nationally Representative Survey

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Abstract

Background

The Internet is one of the main resources of health information especially for young adults, but website content is not always trustworthy or validated. Little is known about this specific population and the importance of online health searches for use and impact. It is fundamental to assess behaviors and attitudes of young people looking for online health-related information and their level of trust in such information.

Objective

The objective is to describe the characteristics of Internet users aged 15-30 years who use the Web as a health information resource and their trust in it, and to define the context and the effect of such use on French young adults’ behavior in relation to their medical consultations.

Methods

We used the French Health Barometer 2010, a nationally representative survey of 27,653 individuals that investigates population health behaviors and concerns. Multivariate logistic regressions were performed using a subsample of 1052 young adults aged 15-30 years to estimate associations between demographics, socioeconomic, and health status and (1) the use of the Internet to search for health information, and (2) its impact on health behaviors and the physician-patient relationship.

Results

In 2010, 48.5% (474/977) of Web users aged 15-30 years used the Internet for health purposes. Those who did not use the Internet for health purposes reported being informed enough by other sources (75.0%, 377/503), stated they preferred seeing a doctor (74.1%, 373/503) or did not trust the information on the Internet (67.2%, 338/503). However, approximately 80% (371/474) of young online health seekers considered the information found online reliable. Women ( P<.001) and people with higher sociocultural positions (OR 0.5, 95% CI 0.3-0.9 and OR 0.4, 95% CI 0.2-0.7 for employees and manual workers, respectively, vs individuals with executive or manager positions) were more likely to use the Internet for health purposes. For a subsample of women only, online health seeking was more likely among those having a child (OR 1.8, 95% CI 1.1-2.7) and experiencing psychological distress (OR 2.0, 95% CI 1.0-4.0). Finally, for online health seekers aged 15-30 years, one-third (33.3%, 157/474) reported they changed their health behaviors (eg, frequency of medical consultations, way of taking care of one’s own health) because of their online searches. Different factors were associated with different outcomes of change, but psychological distress, poor quality of life, and low income were the most common.

Conclusions

The Internet is a useful tool to spread health information and prevention campaigns, especially to target young adults. Young adults trust online information and consider the Internet as a valid source of health advice. Health agencies should ensure the improvement of online health information quality and the creation of health-related websites and programs dedicated to young adults.

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Most cited references 67

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The Effectiveness of Web-Based vs. Non-Web-Based Interventions: A Meta-Analysis of Behavioral Change Outcomes

Dean J Wantland, Carmen J Portillo, William L Holzemer … (2004)

Background A primary focus of self-care interventions for chronic illness is the encouragement of an individual's behavior change necessitating knowledge sharing, education, and understanding of the condition. The use of the Internet to deliver Web-based interventions to patients is increasing rapidly. In a 7-year period (1996 to 2003), there was a 12-fold increase in MEDLINE citations for “Web-based therapies.” The use and effectiveness of Web-based interventions to encourage an individual's change in behavior compared to non-Web-based interventions have not been substantially reviewed. Objective This meta-analysis was undertaken to provide further information on patient/client knowledge and behavioral change outcomes after Web-based interventions as compared to outcomes seen after implementation of non-Web-based interventions. Methods The MEDLINE, CINAHL, Cochrane Library, EMBASE, ERIC, and PSYCHInfo databases were searched for relevant citations between the years 1996 and 2003. Identified articles were retrieved, reviewed, and assessed according to established criteria for quality and inclusion/exclusion in the study. Twenty-two articles were deemed appropriate for the study and selected for analysis. Effect sizes were calculated to ascertain a standardized difference between the intervention (Web-based) and control (non-Web-based) groups by applying the appropriate meta-analytic technique. Homogeneity analysis, forest plot review, and sensitivity analyses were performed to ascertain the comparability of the studies. Results Aggregation of participant data revealed a total of 11,754 participants (5,841 women and 5,729 men). The average age of participants was 41.5 years. In those studies reporting attrition rates, the average drop out rate was 21% for both the intervention and control groups. For the five Web-based studies that reported usage statistics, time spent/session/person ranged from 4.5 to 45 minutes. Session logons/person/week ranged from 2.6 logons/person over 32 weeks to 1008 logons/person over 36 weeks. The intervention designs included one-time Web-participant health outcome studies compared to non-Web participant health outcomes, self-paced interventions, and longitudinal, repeated measure intervention studies. Longitudinal studies ranged from 3 weeks to 78 weeks in duration. The effect sizes for the studied outcomes ranged from -.01 to .75. Broad variability in the focus of the studied outcomes precluded the calculation of an overall effect size for the compared outcome variables in the Web-based compared to the non-Web-based interventions. Homogeneity statistic estimation also revealed widely differing study parameters (Qw16 = 49.993, P ≤ .001). There was no significant difference between study length and effect size. Sixteen of the 17 studied effect outcomes revealed improved knowledge and/or improved behavioral outcomes for participants using the Web-based interventions. Five studies provided group information to compare the validity of Web-based vs. non-Web-based instruments using one-time cross-sectional studies. These studies revealed effect sizes ranging from -.25 to +.29. Homogeneity statistic estimation again revealed widely differing study parameters (Qw4 = 18.238, P ≤ .001). Conclusions The effect size comparisons in the use of Web-based interventions compared to non-Web-based interventions showed an improvement in outcomes for individuals using Web-based interventions to achieve the specified knowledge and/or behavior change for the studied outcome variables. These outcomes included increased exercise time, increased knowledge of nutritional status, increased knowledge of asthma treatment, increased participation in healthcare, slower health decline, improved body shape perception, and 18-month weight loss maintenance.

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Is Open Access

European citizens' use of E-health services: A study of seven countries

Hege K Andreassen, Maria Bujnowska-Fedak, Catherine E Chronaki … (2007)

Background European citizens are increasingly being offered Internet health services. This study investigated patterns of health-related Internet use, its consequences, and citizens' expectations about their doctors' provision of e-health services. Methods Representative samples were obtained from the general populations in Norway, Denmark, Germany, Greece, Poland, Portugal and Latvia. The total sample consisted of 7934 respondents. Interviews were conducted by telephone. Results 44 % of the total sample, 71 % of the Internet users, had used the Internet for health purposes. Factors that positively affected the use of Internet for health purposes were youth, higher education, white-collar or no paid job, visits to the GP during the past year, long-term illness or disabilities, and a subjective assessment of one's own health as good. Women were the most active health users among those who were online. One in four of the respondents used the Internet to prepare for or follow up doctors' appointments. Feeling reassured after using the Internet for health purposes was twice as common as experiencing anxieties. When choosing a new doctor, more than a third of the sample rated the provision of e-health services as important. Conclusion The users of Internet health services differ from the general population when it comes to health and demographic variables. The most common way to use the Internet in health matters is to read information, second comes using the net to decide whether to see a doctor and to prepare for and follow up on doctors' appointments. Hence, health-related use of the Internet does affect patients' use of other health services, but it would appear to supplement rather than to replace other health services.

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The inverse care law.

J T Hart (1971)

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Author and article information

Contributors

François Beck:

Institut National de Prévention et d’Education pour la Santé (INPES)42, Bld de la LibérationSaint Denis CedexParis, 93203France33 01 49 33 2333 01 49 33 23francois.beck@inpes.sante.fr

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 Inc. (Toronto, Canada )

ISSN (Print): 1439-4456

ISSN (Electronic): 1438-8871

Publication date Collection: May 2014

Publication date (Electronic): 13 May 2014

Volume: 16

Issue: 5

Electronic Location Identifier: e128

Affiliations

[1] ¹Institut National de Prévention et d’Education pour la Santé (INPES) ParisFrance

[2] ²Cermes3 - Equipe Cesames (Centre de recherche Médecine, Sciences, Santé, Santé mentale, Société) Université Paris Descartes, Sorbonne Paris Cité /CNRS UMR 8211/Inserm U988/EHESS 45, rue des Saints-Pères. 75270 Paris Cedex 06 ParisFrance

[3] ³Section of Psychiatry Department of Public Health and Community Medicine University of Verona VeronaItaly

[4] ⁴Research Team on the Social Determinants of Health and Healthcare UMRS 707 INSERM ParisFrance

[5] ⁵CNRS, Centre Maurice Halbwachs ERIS ParisFrance

[6] ⁶Centre for Research on Inner City Health Li Ka Shing Knowledge Institute St. Michael's Hospital Toronto, ONCanada

Author notes

Corresponding Author: François Beck francois.beck@ 123456inpes.sante.fr

Article

Publisher ID: v16i5e128

DOI: 10.2196/jmir.2934

PMC ID: 4051740

PubMed ID: 24824164

SO-VID: b4014cca-2dff-4231-a76f-a115ca8d5ff4

Copyright © ©François Beck, Jean-Baptiste Richard, Viet Nguyen-Thanh, Ilaria Montagni, Isabelle Parizot, Emilie Renahy. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.05.2014.

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 : 24 September 2013

Date revision requested : 30 October 2013

Date revision received : 12 December 2013

Date accepted : 23 January 2014

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