Developing a Framework to Generate Evidence of Health Outcomes From Social Media Use in Chronic Disease Management

Background While there is an abundance of evidence-based practice (EBP) recommendations guiding management of various chronic diseases, evidence suggesting best practice for using social media to improve health outcomes is inadequate. The variety of social media platforms, multiple potential uses, inconsistent definitions, and paucity of rigorous studies, make it difficult to measure health outcomes reliably in chronic disease management. Most published investigations report on an earlier generation of online tools, which are not as user-centered, participatory, engaging, or collaborative, and thus may work differently for health self-management. Objective The challenge to establish a sound evidence base for social media use in chronic disease starts with the need to define criteria and methods to generate and evaluate evidence. The authors’ key objective is to develop a framework for research and practice that addresses this challenge. Methods This paper forms part of a larger research project that presents a conceptual framework of how evidence of health outcomes can be generated from social media use, allowing social media to be utilized in chronic disease management more effectively. Using mixed methods incorporating a qualitative literature review, a survey and a pilot intervention, the research closely examines the therapeutic affordances of social media, people with chronic pain (PWCP) as a subset of chronic disease management, valid outcome measurement of patient-reported (health) outcomes (PRO), the individual needs of people living with chronic disease, and finally translation of the combined results to improve evidence-based decision making about social media use in this context. Results Extensive review highlights various affordances of social media that may prove valuable to understanding social media’s effect on individual health outcomes. However, without standardized PRO instruments, we are unable to definitively investigate these effects. The proposed framework that we offer outlines how therapeutic affordances of social media coupled with valid and reliable PRO measurement may be used to generate evidence of improvements in health outcomes, as well as guide evidence-based decision making in the future about social media use as part of chronic disease self-management. Conclusions The results will (1) inform a framework for conducting research into health outcomes from social media use in chronic disease, as well as support translating the findings into evidence of improved health outcomes, and (2) inform a set of recommendations for evidence-based decision making about social media use as part of chronic disease self-management. These outcomes will fill a gap in the knowledge and resources available to individuals managing a chronic disease, their clinicians and other researchers in chronic disease and the field of medicine 2.0.

[1]  A. Gnanasakthy,et al.  Patient-Reported Outcomes, Patient-Reported Information , 2011, The patient.

[2]  L. Engelen,et al.  Definition of Health 2.0 and Medicine 2.0: A Systematic Review , 2010, Journal of medical Internet research.

[3]  P. Leonardi,et al.  Social Media Use in Organizations: Exploring the Affordances of Visibility, Editability, Persistence, and Association , 2013 .

[4]  Maged N Kamel Boulos,et al.  The emerging Web 2.0 social software: an enabling suite of sociable technologies in health and health care education. , 2007, Health information and libraries journal.

[5]  Beth Chaney,et al.  Web 2.0 Chronic Disease Self-Management for Older Adults: A Systematic Review , 2013, Journal of medical Internet research.

[6]  Hayeon Song,et al.  Cancer Survivor Identity Shared in a Social Media Intervention , 2012, Journal of pediatric oncology nursing : official journal of the Association of Pediatric Oncology Nurses.

[7]  Fernando Martín-Sánchez,et al.  Health outcomes and related effects of using social media in chronic disease management: A literature review and analysis of affordances , 2013, J. Biomed. Informatics.

[8]  R. Glasgow,et al.  Evaluating the public health impact of health promotion interventions: the RE-AIM framework. , 1999, American journal of public health.

[9]  Colin Potts,et al.  Design of Everyday Things , 1988 .

[10]  Bradford W. Hesse,et al.  Realizing the Promise of Web 2.0: Engaging Community Intelligence , 2011, Journal of health communication.

[11]  Don E. Detmer,et al.  Informatics, evidence-based care, and research; implications for national policy: a report of an American Medical Informatics Association health policy conference , 2010, J. Am. Medical Informatics Assoc..

[12]  Neil Seeman,et al.  Web 2.0 and chronic illness: new horizons, new opportunities. , 2008, Healthcare quarterly.

[13]  P. Glasziou,et al.  The paths from research to improved health outcomes , 2005, Evidence-based nursing.

[14]  M. Dijkers,et al.  Evidence-based practice for rehabilitation professionals: concepts and controversies. , 2012, Archives of physical medicine and rehabilitation.

[15]  Daniel J Buysse,et al.  The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008. , 2010, Journal of clinical epidemiology.

[16]  Balachander Krishnamurthy,et al.  Key differences between Web 1.0 and Web 2.0 , 2008, First Monday.

[17]  J. Farrar,et al.  Core outcome measures for chronic pain clinical trials: IMMPACT recommendations , 2003, Pain.

[18]  E. Reed The Ecological Approach to Visual Perception , 1989 .

[19]  Paul A Estabrooks,et al.  Use of RE-AIM to develop a multi-media facilitation tool for the patient-centered medical home , 2011, Implementation science : IS.