Literature DB >> 20629477

Impact of consumer health informatics applications.

M Christopher Gibbons, Renee F Wilson, Lipika Samal, Christoph U Lehman, Kay Dickersin, Harold P Lehmann, Hanan Aboumatar, Joseph Finkelstein, Erica Shelton, Ritu Sharma, Eric B Bass.   

Abstract

OBJECTIVE: The objective of the report is to review the evidence on the impact of consumer health informatics (CHI) applications on health outcomes, to identify the knowledge gaps and to make recommendations for future research. DATA SOURCES: We searched MEDLINE, EMBASE, The Cochrane Library, Scopus, and CINAHL databases, references in eligible articles and the table of contents of selected journals; and query of experts.
METHODS: Paired reviewers reviewed citations to identify randomized controlled trials (RCTs) of the impact of CHI applications, and all studies that addressed barriers to use of CHI applications. All studies were independently assessed for quality. All data was abstracted, graded, and reviewed by 2 different reviewers.
RESULTS: One hundred forty-six eligible articles were identified including 121 RCTs. Studies were very heterogeous and of variable quality. Four of five asthma care studies found significant positive impact of a CHI application on at least one healthcare process measure. In terms of the impact of CHI on intermediate health outcomes, significant positive impact was demonstrated in at least one intermediate health outcome of; all three identified breast cancer studies, 89 percent of 32 diet, exercise, physical activity, not obesity studies, all 7 alcohol abuse studies, 58 percent of 19 smoking cessation studies, 40 percent of 12 obesity studies, all 7 diabetes studies, 88 percent of 8 mental health studies, 25 percent of 4 asthma/COPD studies, and one of two menopause/HRT utilization studies. Thirteen additional single studies were identified and each found evidence of significant impact of a CHI application on one or more intermediate outcomes. Eight studies evaluated the effect of CHI on the doctor patient relationship. Five of these studies demonstrated significant positive impact of CHI on at least one aspect of the doctor patient relationship. In terms of the impact of CHI on clinical outcomes, significant positive impact was demonstrated in at least one clinical outcome of; one of three breast cancer studies, four of five diet, exercise, or physical activity studies, all seven mental health studies, all three identified diabetes studies. No studies included in this review found any evidence of consumer harm attributable to a CHI application. Evidence was insufficient to determine the economic impact of CHI applications.
CONCLUSIONS: Despite study heterogeneity, quality variability, and some data paucity, available literature suggests that select CHI applications may effectively engage consumers, enhance traditional clinical interventions, and improve both intermediate and clinical health outcomes.

Entities:  

Mesh:

Year:  2009        PMID: 20629477      PMCID: PMC4780989     

Source DB:  PubMed          Journal:  Evid Rep Technol Assess (Full Rep)        ISSN: 1530-4396


  23 in total

1.  Human factors analysis, design, and evaluation of Engage, a consumer health IT application for geriatric heart failure self-care.

Authors:  Preethi Srinivas; Victor Cornet; Richard Holden
Journal:  Int J Hum Comput Interact       Date:  2016-12-29       Impact factor: 3.353

2.  Determinants of Consumer eHealth Information Seeking Behavior.

Authors:  Ryan H Sandefer; Bonnie L Westra; Saif S Khairat; David S Pieczkiewicz; Stuart M Speedie
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

3.  Effectiveness of Technologically Enhanced Peer Support in Improving Glycemic Management Among Predominantly African American, Low-Income Adults With Diabetes.

Authors:  Michele Heisler; Hwajung Choi; Rebecca Mase; Judith A Long; Pamela J Reeves
Journal:  Diabetes Educ       Date:  2019-04-26       Impact factor: 2.140

4.  Comparison of community health worker-led diabetes medication decision-making support for low-income Latino and African American adults with diabetes using e-health tools versus print materials: a randomized, controlled trial.

Authors:  Michele Heisler; Hwajung Choi; Gloria Palmisano; Rebecca Mase; Caroline Richardson; Angela Fagerlin; Victor M Montori; Michael Spencer; Laurence C An
Journal:  Ann Intern Med       Date:  2014-11-18       Impact factor: 25.391

5.  Study protocol: The Technology-Enhanced Coaching (TEC) program to improve diabetes outcomes - A randomized controlled trial.

Authors:  Michele Heisler; Rebecca Mase; Brianne Brown; Shayla Wilson; Pamela J Reeves
Journal:  Contemp Clin Trials       Date:  2017-01-27       Impact factor: 2.226

6.  Translation of Patient-Reported Outcomes in Oncology Clinical Trials to Everyday Practice.

Authors:  Srinivas Joga Ivatury; Hannah W Hazard-Jenkins; Gabriel A Brooks; Nadine J McCleary; Sandra L Wong; Deborah Schrag
Journal:  Ann Surg Oncol       Date:  2019-08-26       Impact factor: 5.344

7.  Use of health information technology among racial and ethnic underserved communities.

Authors:  Michael Christopher Gibbons
Journal:  Perspect Health Inf Manag       Date:  2011-01-01

8.  Survey of consumer informatics for palliation and hospice care.

Authors:  Milton Corn; David H Gustafson; Linda M Harris; Jean S Kutner; Ann E McFarren; Aziza T Shad
Journal:  Am J Prev Med       Date:  2011-05       Impact factor: 5.043

9.  SCI-U: e-learning for patient education in spinal cord injury rehabilitation.

Authors:  John D Shepherd; Karla M Badger-Brown; Matthew S Legassic; Saagar Walia; Dalton L Wolfe
Journal:  J Spinal Cord Med       Date:  2012-09       Impact factor: 1.985

10.  Systematic review of the effectiveness of health-related behavioral interventions using portable activity sensing devices (PASDs).

Authors:  Hamed Abedtash; Richard J Holden
Journal:  J Am Med Inform Assoc       Date:  2017-09-01       Impact factor: 4.497

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