The Role of Social Media for Patients and Consumer Health

Summary Objectives To provide an overview on social media for consumers and patients in areas of health behaviours and outcomes. Methods A directed review of recent literature. Results We discuss the limitations and challenges of social media, ranging from social network sites (SNSs), computer games, mobile applications, to online videos. An overview of current users of social media (Generation Y), and potential users (such as low socioeconomic status and the chronically ill populations) is also presented. Future directions in social media research are also discussed. Conclusions We encouragethe health informaticscommunity to consider the socioeconomic class, age, culture, and literacy level of their populations, and select an appropriate medium and platform when designing social networkedinterventionsforhealth.Little isknown about the impact of second-hand experiences faciliated by social media, nor the quality and safety of social networks on health. Methodologies and theories from human computer interaction, human factors engineering and psychology may help guide the challenges in design-ingand evaluatingsocial networkedinterventionsforhealth. Further, by analysing how people search and navigate social media for health purposes, infodemiology and infoveillance are promising areas of research that should provide valuable insights on present and emergening health behaviours on a population scale.

[1]  Kenneth D. Mandl,et al.  Social but safe? Quality and safety of diabetes-related online social networks , 2011, J. Am. Medical Informatics Assoc..

[2]  A. Armstrong,et al.  Online video improves clinical outcomes in adults with atopic dermatitis: a randomized controlled trial. , 2011, Journal of the American Academy of Dermatology.

[3]  Sally Okun,et al.  Patient-reported Outcomes as a Source of Evidence in Off-Label Prescribing: Analysis of Data From PatientsLikeMe , 2011, Journal of medical Internet research.

[4]  E. Augustson,et al.  Cancer Survivorship in the Age of YouTube and Social Media: A Narrative Analysis , 2011, Journal of medical Internet research.

[5]  L. Downs,et al.  Learning about ovarian cancer at the time of diagnosis: video versus usual care. , 2010, Gynecologic oncology.

[6]  Alex Pentland,et al.  Social sensing: obesity, unhealthy eating and exercise in face-to-face networks , 2010, Wireless Health.

[7]  Nuria Oliver,et al.  MoviPill: improving medication compliance for elders using a mobile persuasive social game , 2010, UbiComp.

[8]  Nick Wilson,et al.  Connecting world youth with tobacco brands: YouTube and the internet policy vacuum on Web 2.0 , 2010, Tobacco Control.

[9]  Reinhard Windhager,et al.  Wikipedia and osteosarcoma: a trustworthy patients' information? , 2010, J. Am. Medical Informatics Assoc..

[10]  J. Frost,et al.  Sharing Health Data for Better Outcomes on PatientsLikeMe , 2010, Journal of medical Internet research.

[11]  Linda L. Scott,et al.  Merging health literacy with computer technology: self-managing diet and fluid intake among adult hemodialysis patients. , 2010, Patient education and counseling.

[12]  Jos Aarts,et al.  Human factors engineering for healthcare IT clinical applications , 2010, Int. J. Medical Informatics.

[13]  Rebecca E. Grinter,et al.  Characteristics of shared health reflections in a local community , 2010, CSCW '10.

[14]  K. Siek,et al.  Studying the Place of Technology to Lower Financial Barriers for Dietary Change , 2009, Methods of Information in Medicine.

[15]  J. Jones,et al.  Early Assessment of Anxiety and Behavioral Response to Novel Swine-Origin Influenza A(H1N1) , 2009, PloS one.

[16]  Tim Rakow,et al.  Personal experience in doctor and patient decision making: from psychology to medicine. , 2009, Journal of evaluation in clinical practice.

[17]  Julie Maitland,et al.  Bridging the information gap: collaborative technology design with low-income at-risk families to engender healthy behaviors , 2009, OZCHI.

[18]  William Neal,et al.  Effects of an exercise intervention using Dance Dance Revolution on endothelial function and other risk factors in overweight children. , 2009, International journal of pediatric obesity : IJPO : an official journal of the International Association for the Study of Obesity.

[19]  Trevor M. Y. Kwok,et al.  Social Features in Online Communities for Healthcare Consumers - A Review , 2009, HCI.

[20]  G. Eysenbach,et al.  Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak , 2010, PloS one.

[21]  Peter Pirolli,et al.  An elementary social information foraging model , 2009, CHI.

[22]  G. Eysenbach Infodemiology and Infoveillance: Framework for an Emerging Set of Public Health Informatics Methods to Analyze Search, Communication and Publication Behavior on the Internet , 2009, Journal of medical Internet research.

[23]  N. Christakis,et al.  Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study , 2008, BMJ : British Medical Journal.

[24]  Rebecca E. Grinter,et al.  EatWell: sharing nutrition-related memories in a low-income community , 2008, CSCW.

[25]  Jeana Frost,et al.  How the Social Web Supports Patient Experimentation with a New Therapy: The demand for patient-controlled and patient-centered informatics , 2008, AMIA.

[26]  L. Wallace,et al.  Human papillomavirus vaccination coverage on YouTube. , 2008, American journal of preventive medicine.

[27]  David W. McDonald,et al.  Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays , 2008, UbiComp.

[28]  G. Eysenbach Medicine 2.0: Social Networking, Collaboration, Participation, Apomediation, and Openness , 2008, Journal of medical Internet research.

[29]  Pradeep Buddharaju,et al.  NEAT-o-Games: blending physical activity and fun in the daily routine , 2008, CIE.

[30]  Diane J Skiba,et al.  Games for health. , 2008, Nursing education perspectives.

[31]  B. Newell,et al.  Biased samples not mode of presentation: Re-examining the apparent underweighting of rare events in experience-based choice , 2008 .

[32]  J. Frost,et al.  Social Uses of Personal Health Information Within PatientsLikeMe, an Online Patient Community: What Can Happen When Patients Have Access to One Another’s Data , 2008, Journal of medical Internet research.

[33]  Gareth Stratton,et al.  Energy expenditure in adolescents playing new generation computer games , 2008, BMJ : British Medical Journal.

[34]  E. Coiera,et al.  Impact of Web Searching and Social Feedback on Consumer Decision Making: A Prospective Online Experiment , 2008, Journal of medical Internet research.

[35]  S. Cole,et al.  Improvement in cancer-related knowledge following use of a psychoeducational video game for adolescents and young adults with cancer. , 2007, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[36]  Rebecca E. Grinter,et al.  Designing Persuasion: Health Technology for Low-Income African American Communities , 2007, PERSUASIVE.

[37]  J. Levine,et al.  Energy Expenditure of Sedentary Screen Time Compared With Active Screen Time for Children , 2006, Pediatrics.

[38]  Silvia Lindtner,et al.  Fish'n'Steps: Encouraging Physical Activity with an Interactive Computer Game , 2006, UbiComp.

[39]  Yair Amichai-Hamburger,et al.  The Contact Hypothesis Reconsidered: Interacting via the Internet , 2006, J. Comput. Mediat. Commun..

[40]  A. King,et al.  Modifying physical activity in a multiethnic sample of low-income women: One-year results from the IMPACT (Increasing Motivation for Physical ACTivity) project , 2005, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[41]  A. Localio,et al.  Role of computerized physician order entry systems in facilitating medication errors. , 2005, JAMA.

[42]  Mical K. Shilts,et al.  Goal Setting as a Strategy for Dietary and Physical Activity Behavior Change: A Review of the Literature , 2004, American journal of health promotion : AJHP.

[43]  R. Hertwig,et al.  Decisions from Experience and the Effect of Rare Events in Risky Choice , 2004, Psychological science.

[44]  J. Harackiewicz,et al.  The effects of cooperation and competition on intrinsic motivation and performance. , 2004, Journal of personality and social psychology.

[45]  Martin Dawes,et al.  Knowledge management in clinical practice: a systematic review of information seeking behavior in physicians , 2003, Int. J. Medical Informatics.

[46]  I. Erev,et al.  Small feedback‐based decisions and their limited correspondence to description‐based decisions , 2003 .

[47]  P. Naumann,et al.  Computer game for inner-city children does not improve asthma outcomes. , 2003, Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners.

[48]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[49]  K. Humphreys,et al.  Electronic support groups for breast carcinoma , 2003, Cancer.

[50]  G. Eysenbach Infodemiology: The epidemiology of (mis)information. , 2002, The American journal of medicine.

[51]  T. Bodenheimer,et al.  Patient self-management of chronic disease in primary care. , 2002, JAMA.

[52]  K. Lorig,et al.  Can a Back Pain E-mail Discussion Group improve health status and lower health care costs?: A randomized study. , 2002, Archives of internal medicine.

[53]  R Chan,et al.  Prescribers prefer people: The sources of information used by doctors for prescribing suggest that the medium is more important than the message. , 2001, British journal of clinical pharmacology.

[54]  Bret R. Shaw,et al.  Experiences of Women with Breast Cancer: Exchanging Social Support over the CHESS Computer Network , 2000, Journal of health communication.

[55]  J. Brug,et al.  Computer-tailored interventions motivating people to adopt health promoting behaviours: introduction to a new approach. , 1999, Patient education and counseling.

[56]  A. Bandura Self-Efficacy: The Exercise of Control , 1997, Journal of Cognitive Psychotherapy.

[57]  R. Dishman,et al.  Increasing physical activity: a quantitative synthesis. , 1996, Medicine and science in sports and exercise.

[58]  B. Latané The psychology of social impact. , 1981 .

[59]  M. Hussin,et al.  Fat stigmatization on YouTube: a content analysis. , 2011, Body image.

[60]  Trevor M. Y. Kwok,et al.  The Influence of Crowds on Consumer Health Decisions: An Online Prospective Study , 2010, MedInfo.

[61]  Luis Fernández-Luque,et al.  An Analysis of Personal Medical Information Disclosed in YouTube Videos Created by Patients with Multiple Sclerosis , 2009, MIE.

[62]  Saunjoo L. Yoon,et al.  Enhancing self-management in children with sickle cell disease through playing a CD-ROM educational game: a pilot study. , 2007, Pediatric nursing.

[63]  Mark Lentczner,et al.  Second Life , 2007, USENIX Annual Technical Conference.

[64]  H. C. Coumou,et al.  How do primary care physicians seek answers to clinical questions? A literature review. , 2006, Journal of the Medical Library Association : JMLA.

[65]  Gunther Eysenbach,et al.  Infodemiology: Tracking Flu-Related Searches on the Web for Syndromic Surveillance , 2006, AMIA.

[66]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[67]  D. Lieberman,et al.  Educational video game for juvenile diabetes: results of a controlled trial. , 1997, Medical informatics = Medecine et informatique.

[68]  A. Yohannes,et al.  Respiratory rehabilitation, exercise capacity and quality of life in chronic airways disease in old age. , 1996, Age and ageing.

[69]  Patricia Mechael,et al.  Barriers and Gaps Affecting mHealth in Low and Middle Income Countries: Policy White Paper , 1970 .