Literature DB >> 15495094

Interactive Health Communication Applications for people with chronic disease.

E Murray1, J Burns, Tai S See, R Lai, I Nazareth.   

Abstract

BACKGROUND: Interactive Health Communication Applications (IHCAs) are computer-based, usually web-based health information packages for patients that combine information with at least one of social support, decision support, or behaviour change support. These are innovations in health care and their effects on health are uncertain.
OBJECTIVES: To assess the effects of IHCAs for people with chronic disease. SEARCH STRATEGY: We designed a four-part search strategy. First, we searched electronic bibliographic databases for published work; second, we searched the grey literature and third, we searched for ongoing and recently completed clinical trials in the appropriate databases. Finally, researchers of included studies were contacted, and reference lists from relevant primary and review articles were followed up. As IHCAs require relatively new technology, the search commenced at 1990 where possible. SELECTION CRITERIA: Randomised controlled trials (RCTs) of Interactive Health Communication Applications for adults and children with chronic disease. DATA COLLECTION AND ANALYSIS: One reviewer screened abstracts. Two reviewers screened all candidate studies to determine eligibility, apply quality criteria, and extract data from included studies. Authors of included RCTs were contacted for missing data. Results of RCTs were pooled using a random effects model and standardised mean differences (SMDs) were calculated to provide net effect sizes. MAIN
RESULTS: We screened 24,757 unique citations and retrieved 958 papers for further assessment, yielding 28 RCTs involving 4042 participants. One of these had an inadequate method of concealment of allocation, and sensitivity analyses were performed to determine the effects of including or excluding these data in the meta-analyses. Results in the abstract are from the meta-analyses excluding data from this study.IHCAs were found to have a positive effect on knowledge (SMD 0.49; 95% confidence interval (CI) 0.14 to 0.84) and on social support (SMD 0.47; 95% CI 0.28 to 0.66). IHCAs were found to have no effect on self-efficacy (SMD 0.15; 95% CI -0.13 to 0.43) or behavioural outcomes (SMD -0.09; 95% CI -0.49 to 0.32). IHCAs had a negative effect on clinical outcomes (SMD -0.32; 95% CI -0.63 to -0.02). REVIEWERS'
CONCLUSIONS: The number and range of IHCAs is increasing rapidly; however there is a shortage of high quality evaluative data. Consumers who wish to increase their knowledge or social support amongst people with a similar problem may find an IHCA helpful. However, consumers whose primary aim is to achieve optimal clinical outcomes should not use an IHCA at present. Further research is needed to determine the reason for this negative effect on clinical outcomes, whether an optimal IHCA can achieve behaviour change and improved health outcomes, and if so, what are the essential features of such an IHCA, and the extent to which they differ according to patient group or condition.

Entities:  

Mesh:

Year:  2004        PMID: 15495094     DOI: 10.1002/14651858.CD004274.pub2

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  17 in total

Review 1.  How computers can help to share understanding with patients.

Authors:  Frank Sullivan; Jeremy C Wyatt
Journal:  BMJ       Date:  2005-10-15

2.  Using the internet for research: results at a keystroke.

Authors:  Elizabeth Murray
Journal:  Br J Gen Pract       Date:  2007-12       Impact factor: 5.386

3.  Can we rely on the best trial? A comparison of individual trials and systematic reviews.

Authors:  Paul P Glasziou; Sasha Shepperd; Jon Brassey
Journal:  BMC Med Res Methodol       Date:  2010-03-18       Impact factor: 4.615

Review 4.  Asynchronous and synchronous teleconsultation for diabetes care: a systematic literature review.

Authors:  Fenne Verhoeven; Karin Tanja-Dijkstra; Nicol Nijland; Gunther Eysenbach; Lisette van Gemert-Pijnen
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

Review 5.  Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers.

Authors:  Catherine H Yu; Robinder Bahniwal; Andreas Laupacis; Eman Leung; Michael S Orr; Sharon E Straus
Journal:  J Am Med Inform Assoc       Date:  2012-01-03       Impact factor: 4.497

6.  Design of a case management model for people with chronic disease (Heart Failure and COPD). Phase I: modeling and identification of the main components of the intervention through their actors: patients and professionals (DELTA-icE-PRO Study).

Authors:  Jose M Morales-Asencio; Francisco J Martin-Santos; Juan C Morilla-Herrera; Magdalena Cuevas Fernández-Gallego; Miriam Celdrán-Mañas; Francisco J Navarro-Moya; Maria M Rodríguez-Salvador; Francisco J Muñoz-Ronda; Elena Gonzalo-Jiménez; Almudena Millán Carrasco
Journal:  BMC Health Serv Res       Date:  2010-12-02       Impact factor: 2.655

7.  A case study of a retracted systematic review on interactive health communication applications: impact on media, scientists, and patients.

Authors:  Roy Rada
Journal:  J Med Internet Res       Date:  2005-06-30       Impact factor: 5.428

Review 8.  "Is Cybermedicine Killing You?"--The story of a Cochrane disaster.

Authors:  Gunther Eysenbach; Per Egil Kummervold
Journal:  J Med Internet Res       Date:  2005-06-30       Impact factor: 5.428

9.  Managing addiction as a chronic condition.

Authors:  Michael Dennis; Christy K Scott
Journal:  Addict Sci Clin Pract       Date:  2007-12

10.  Measuring actual eHealth literacy among patients with rheumatic diseases: a qualitative analysis of problems encountered using Health 1.0 and Health 2.0 applications.

Authors:  Rosalie van der Vaart; Constance H C Drossaert; Miriam de Heus; Erik Taal; Mart A F J van de Laar
Journal:  J Med Internet Res       Date:  2013-02-11       Impact factor: 5.428

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