The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review
Mobile technologies could be a powerful media for providing individual level support to health care consumers. We conducted a systematic review to assess the effectiveness of mobile technology interventions delivered to health care consumers. We searched for all controlled trials of mobile technolog...
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description | Mobile technologies could be a powerful media for providing individual level support to health care consumers. We conducted a systematic review to assess the effectiveness of mobile technology interventions delivered to health care consumers.
We searched for all controlled trials of mobile technology-based health interventions delivered to health care consumers using MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, Cochrane Library, UK NHS HTA (Jan 1990-Sept 2010). Two authors extracted data on allocation concealment, allocation sequence, blinding, completeness of follow-up, and measures of effect. We calculated effect estimates and used random effects meta-analysis. We identified 75 trials. Fifty-nine trials investigated the use of mobile technologies to improve disease management and 26 trials investigated their use to change health behaviours. Nearly all trials were conducted in high-income countries. Four trials had a low risk of bias. Two trials of disease management had low risk of bias; in one, antiretroviral (ART) adherence, use of text messages reduced high viral load (>400 copies), with a relative risk (RR) of 0.85 (95% CI 0.72-0.99), but no statistically significant benefit on mortality (RR 0.79 [95% CI 0.47-1.32]). In a second, a PDA based intervention increased scores for perceived self care agency in lung transplant patients. Two trials of health behaviour management had low risk of bias. The pooled effect of text messaging smoking cessation support on biochemically verified smoking cessation was (RR 2.16 [95% CI 1.77-2.62]). Interventions for other conditions showed suggestive benefits in some cases, but the results were not consistent. No evidence of publication bias was demonstrated on visual or statistical examination of the funnel plots for either disease management or health behaviours. To address the limitation of the older search, we also reviewed more recent literature.
Text messaging interventions increased adherence to ART and smoking cessation and should be considered for inclusion in services. Although there is suggestive evidence of benefit in some other areas, high quality adequately powered trials of optimised interventions are required to evaluate effects on objective outcomes. |
doi_str_mv | 10.1371/journal.pmed.1001362 |
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We searched for all controlled trials of mobile technology-based health interventions delivered to health care consumers using MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, Cochrane Library, UK NHS HTA (Jan 1990-Sept 2010). Two authors extracted data on allocation concealment, allocation sequence, blinding, completeness of follow-up, and measures of effect. We calculated effect estimates and used random effects meta-analysis. We identified 75 trials. Fifty-nine trials investigated the use of mobile technologies to improve disease management and 26 trials investigated their use to change health behaviours. Nearly all trials were conducted in high-income countries. Four trials had a low risk of bias. Two trials of disease management had low risk of bias; in one, antiretroviral (ART) adherence, use of text messages reduced high viral load (>400 copies), with a relative risk (RR) of 0.85 (95% CI 0.72-0.99), but no statistically significant benefit on mortality (RR 0.79 [95% CI 0.47-1.32]). In a second, a PDA based intervention increased scores for perceived self care agency in lung transplant patients. Two trials of health behaviour management had low risk of bias. The pooled effect of text messaging smoking cessation support on biochemically verified smoking cessation was (RR 2.16 [95% CI 1.77-2.62]). Interventions for other conditions showed suggestive benefits in some cases, but the results were not consistent. No evidence of publication bias was demonstrated on visual or statistical examination of the funnel plots for either disease management or health behaviours. To address the limitation of the older search, we also reviewed more recent literature.
Text messaging interventions increased adherence to ART and smoking cessation and should be considered for inclusion in services. Although there is suggestive evidence of benefit in some other areas, high quality adequately powered trials of optimised interventions are required to evaluate effects on objective outcomes.</description><identifier>ISSN: 1549-1676</identifier><identifier>ISSN: 1549-1277</identifier><identifier>EISSN: 1549-1676</identifier><identifier>DOI: 10.1371/journal.pmed.1001362</identifier><identifier>PMID: 23349621</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Bias ; Biomedical Technology - methods ; Clinical Trials as Topic ; Community Participation ; Consumer behavior ; Delivery of Health Care ; Diet ; Disease Management ; Drug therapy ; Health Behavior ; HIV ; Human immunodeficiency virus ; Humans ; Management ; Medical care ; Medication Adherence ; Medicine ; Mortality ; Motor Activity ; Practice ; Psychological aspects ; Smoking cessation ; Social aspects ; Studies ; Technology application ; Telemedicine - methods ; Treatment Outcome ; United Kingdom</subject><ispartof>PLoS medicine, 2013-01, Vol.10 (1), p.e1001362-e1001362</ispartof><rights>COPYRIGHT 2013 Public Library of Science</rights><rights>2013 Free et al 2013 Free et al</rights><rights>2013 Free et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Free C, Phillips G, Galli L, Watson L, Felix L, et al. (2013) The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review. PLoS Med 10(1): e1001362. doi:10.1371/journal.pmed.1001362</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c787t-b4c23db90c65d695dcc93dbe150a6a786e95cac9ca90df398f7ff27f94b961363</citedby><cites>FETCH-LOGICAL-c787t-b4c23db90c65d695dcc93dbe150a6a786e95cac9ca90df398f7ff27f94b961363</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548655/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548655/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2106,2932,23875,27933,27934,53800,53802</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23349621$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Cornford, Tony</contributor><creatorcontrib>Free, Caroline</creatorcontrib><creatorcontrib>Phillips, Gemma</creatorcontrib><creatorcontrib>Galli, Leandro</creatorcontrib><creatorcontrib>Watson, Louise</creatorcontrib><creatorcontrib>Felix, Lambert</creatorcontrib><creatorcontrib>Edwards, Phil</creatorcontrib><creatorcontrib>Patel, Vikram</creatorcontrib><creatorcontrib>Haines, Andy</creatorcontrib><title>The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review</title><title>PLoS medicine</title><addtitle>PLoS Med</addtitle><description>Mobile technologies could be a powerful media for providing individual level support to health care consumers. We conducted a systematic review to assess the effectiveness of mobile technology interventions delivered to health care consumers.
We searched for all controlled trials of mobile technology-based health interventions delivered to health care consumers using MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, Cochrane Library, UK NHS HTA (Jan 1990-Sept 2010). Two authors extracted data on allocation concealment, allocation sequence, blinding, completeness of follow-up, and measures of effect. We calculated effect estimates and used random effects meta-analysis. We identified 75 trials. Fifty-nine trials investigated the use of mobile technologies to improve disease management and 26 trials investigated their use to change health behaviours. Nearly all trials were conducted in high-income countries. Four trials had a low risk of bias. Two trials of disease management had low risk of bias; in one, antiretroviral (ART) adherence, use of text messages reduced high viral load (>400 copies), with a relative risk (RR) of 0.85 (95% CI 0.72-0.99), but no statistically significant benefit on mortality (RR 0.79 [95% CI 0.47-1.32]). In a second, a PDA based intervention increased scores for perceived self care agency in lung transplant patients. Two trials of health behaviour management had low risk of bias. The pooled effect of text messaging smoking cessation support on biochemically verified smoking cessation was (RR 2.16 [95% CI 1.77-2.62]). Interventions for other conditions showed suggestive benefits in some cases, but the results were not consistent. No evidence of publication bias was demonstrated on visual or statistical examination of the funnel plots for either disease management or health behaviours. To address the limitation of the older search, we also reviewed more recent literature.
Text messaging interventions increased adherence to ART and smoking cessation and should be considered for inclusion in services. 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Phillips, Gemma ; Galli, Leandro ; Watson, Louise ; Felix, Lambert ; Edwards, Phil ; Patel, Vikram ; Haines, Andy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c787t-b4c23db90c65d695dcc93dbe150a6a786e95cac9ca90df398f7ff27f94b961363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Bias</topic><topic>Biomedical Technology - methods</topic><topic>Clinical Trials as Topic</topic><topic>Community Participation</topic><topic>Consumer behavior</topic><topic>Delivery of Health Care</topic><topic>Diet</topic><topic>Disease Management</topic><topic>Drug therapy</topic><topic>Health Behavior</topic><topic>HIV</topic><topic>Human immunodeficiency virus</topic><topic>Humans</topic><topic>Management</topic><topic>Medical care</topic><topic>Medication Adherence</topic><topic>Medicine</topic><topic>Mortality</topic><topic>Motor Activity</topic><topic>Practice</topic><topic>Psychological aspects</topic><topic>Smoking cessation</topic><topic>Social aspects</topic><topic>Studies</topic><topic>Technology application</topic><topic>Telemedicine - methods</topic><topic>Treatment Outcome</topic><topic>United Kingdom</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Free, Caroline</creatorcontrib><creatorcontrib>Phillips, Gemma</creatorcontrib><creatorcontrib>Galli, Leandro</creatorcontrib><creatorcontrib>Watson, Louise</creatorcontrib><creatorcontrib>Felix, Lambert</creatorcontrib><creatorcontrib>Edwards, Phil</creatorcontrib><creatorcontrib>Patel, Vikram</creatorcontrib><creatorcontrib>Haines, Andy</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Canada</collection><collection>Gale In Context: Science</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><collection>PLoS Medicine</collection><jtitle>PLoS medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Free, Caroline</au><au>Phillips, Gemma</au><au>Galli, Leandro</au><au>Watson, Louise</au><au>Felix, Lambert</au><au>Edwards, Phil</au><au>Patel, Vikram</au><au>Haines, Andy</au><au>Cornford, Tony</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review</atitle><jtitle>PLoS medicine</jtitle><addtitle>PLoS Med</addtitle><date>2013-01-01</date><risdate>2013</risdate><volume>10</volume><issue>1</issue><spage>e1001362</spage><epage>e1001362</epage><pages>e1001362-e1001362</pages><issn>1549-1676</issn><issn>1549-1277</issn><eissn>1549-1676</eissn><abstract>Mobile technologies could be a powerful media for providing individual level support to health care consumers. We conducted a systematic review to assess the effectiveness of mobile technology interventions delivered to health care consumers.
We searched for all controlled trials of mobile technology-based health interventions delivered to health care consumers using MEDLINE, EMBASE, PsycINFO, Global Health, Web of Science, Cochrane Library, UK NHS HTA (Jan 1990-Sept 2010). Two authors extracted data on allocation concealment, allocation sequence, blinding, completeness of follow-up, and measures of effect. We calculated effect estimates and used random effects meta-analysis. We identified 75 trials. Fifty-nine trials investigated the use of mobile technologies to improve disease management and 26 trials investigated their use to change health behaviours. Nearly all trials were conducted in high-income countries. Four trials had a low risk of bias. Two trials of disease management had low risk of bias; in one, antiretroviral (ART) adherence, use of text messages reduced high viral load (>400 copies), with a relative risk (RR) of 0.85 (95% CI 0.72-0.99), but no statistically significant benefit on mortality (RR 0.79 [95% CI 0.47-1.32]). In a second, a PDA based intervention increased scores for perceived self care agency in lung transplant patients. Two trials of health behaviour management had low risk of bias. The pooled effect of text messaging smoking cessation support on biochemically verified smoking cessation was (RR 2.16 [95% CI 1.77-2.62]). Interventions for other conditions showed suggestive benefits in some cases, but the results were not consistent. No evidence of publication bias was demonstrated on visual or statistical examination of the funnel plots for either disease management or health behaviours. To address the limitation of the older search, we also reviewed more recent literature.
Text messaging interventions increased adherence to ART and smoking cessation and should be considered for inclusion in services. Although there is suggestive evidence of benefit in some other areas, high quality adequately powered trials of optimised interventions are required to evaluate effects on objective outcomes.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>23349621</pmid><doi>10.1371/journal.pmed.1001362</doi><oa>free_for_read</oa></addata></record> |
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subjects | Bias Biomedical Technology - methods Clinical Trials as Topic Community Participation Consumer behavior Delivery of Health Care Diet Disease Management Drug therapy Health Behavior HIV Human immunodeficiency virus Humans Management Medical care Medication Adherence Medicine Mortality Motor Activity Practice Psychological aspects Smoking cessation Social aspects Studies Technology application Telemedicine - methods Treatment Outcome United Kingdom |
title | The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review |
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