title: The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature.
abstract: BACKGROUND
  Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change.
  
  
  OBJECTIVE
  Our aim was to systematically review the (1) impact of IT platforms used to promote patients' engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes.
  
  
  METHODS
  PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria.
  
  
  RESULTS
  A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170).
  
  
  CONCLUSIONS
  In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes.
authors.affiliation: School of Informatics and Computing - Indianapolis, Department of BioHealth Informatics, IUPUI, Indianapolis, IN, United States. ssawesi@umail.iu.edu.
authors.forename: Suhila
authors.identifier: http://orcid.org/0000-0002-3510-8543
authors.initials: S
authors.lastname: Sawesi
authors.forename: Mohamed
authors.identifier: http://orcid.org/0000-0002-4029-5427
authors.initials: M
authors.lastname: Rashrash
authors.forename: Kanitha
authors.identifier: http://orcid.org/0000-0002-0229-1257
authors.initials: K
authors.lastname: Phalakornkule
authors.forename: Janet S
authors.identifier: http://orcid.org/0000-0003-3988-8855
authors.initials: JS
authors.lastname: Carpenter
authors.forename: Josette F
authors.identifier: http://orcid.org/0000-0002-4996-8595
authors.initials: JF
authors.lastname: Jones
keywords: Internet; cell phone; patient behavior; patient engagement; social media; technology; web-based