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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{"title"=>"The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review", "type"=>"journal", "authors"=>[{"first_name"=>"Caroline", "last_name"=>"Free", "scopus_author_id"=>"7006967593"}, {"first_name"=>"Gemma", "last_name"=>"Phillips", "scopus_author_id"=>"26021447000"}, {"first_name"=>"Leandro", "last_name"=>"Galli", "scopus_author_id"=>"36627160200"}, {"first_name"=>"Louise", "last_name"=>"Watson", "scopus_author_id"=>"57195812860"}, {"first_name"=>"Lambert", "last_name"=>"Felix", "scopus_author_id"=>"24343735000"}, {"first_name"=>"Phil", "last_name"=>"Edwards", "scopus_author_id"=>"8917355800"}, {"first_name"=>"Vikram", "last_name"=>"Patel", "scopus_author_id"=>"7402495238"}, {"first_name"=>"Andy", "last_name"=>"Haines", "scopus_author_id"=>"19334435800"}], "year"=>2013, "source"=>"PLoS Medicine", "identifiers"=>{"arxiv"=>"arXiv:1011.1669v3", "scopus"=>"2-s2.0-84873882439", "pui"=>"368227049", "pmid"=>"23349621", "issn"=>"15491277", "isbn"=>"1549-1676 (Electronic)\\n1549-1277 (Linking)", "doi"=>"10.1371/journal.pmed.1001362", "sgr"=>"84873882439"}, "id"=>"b43d4984-c5ee-3db3-9699-44340ed5fb4b", "abstract"=>"Sexually transmitted infections (STIs) pose a serious public health problem globally. The rapid spread of mobile technology creates an opportunity to use innovative methods to reduce the burden of STIs. This systematic review identified recent randomised controlled trials that employed mobile technology to improve sexual health outcomes. The following databases were searched for randomised controlled trials of mobile technology based sexual health interventions with any outcome measures and all patient populations: MEDLINE, EMBASE, PsycINFO, Global Health, The Cochrane Library (Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, Cochrane Methodology Register, NHS Health Technology Assessment Database, and Web of Science (science and social science citation index) (Jan 1999–July 2014). Interventions designed to increase adherence to HIV medication were not included. Two authors independently extracted data on the following elements: interventions, allocation concealment, allocation sequence, blinding, completeness of follow-up, and measures of effect. Trials were assessed for methodological quality using the Cochrane risk of bias tool. We calculated effect estimates using intention to treat analysis. A total of ten randomised trials were identified with nine separate study groups. No trials had a low risk of bias. The trials targeted: 1) promotion of uptake of sexual health services, 2) reduction of risky sexual behaviours and 3) reduction of recall bias in reporting sexual activity. Interventions employed up to five behaviour change techniques. Meta-analysis was not possible due to heterogeneity in trial assessment and reporting. Two trials reported statistically significant improvements in the uptake of sexual health services using SMS reminders compared to controls. One trial increased knowledge. One trial reported promising results in increasing condom use but no trial reported statistically significant increases in condom use. Finally, one trial showed that collection of sexual health information using mobile technology was acceptable. The findings suggest interventions delivered by SMS interventions can increase uptake of sexual health services and STI testing. High quality trials of interventions using standardised objective measures and employing a wider range of behavioural change techniques are needed to assess if interventions delivered by mobile phone can alter safer sex behaviours carried out between couples and reduce STIs.", "link"=>"http://www.mendeley.com/research/effectiveness-mobilehealth-technologybased-health-behaviour-change-disease-management-interventions-7", "reader_count"=>1190, "reader_count_by_academic_status"=>{"Unspecified"=>21, "Professor > Associate Professor"=>59, "Librarian"=>5, "Student > Doctoral Student"=>74, "Researcher"=>211, "Student > Ph. 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Student"=>205, "Student > Postgraduate"=>83, "Student > Master"=>277, "Other"=>72, "Student > Bachelor"=>121, "Lecturer"=>27, "Lecturer > Senior Lecturer"=>10, "Professor"=>25}, "reader_count_by_subject_area"=>{"Unspecified"=>67, "Agricultural and Biological Sciences"=>48, "Arts and Humanities"=>11, "Philosophy"=>1, "Business, Management and Accounting"=>54, "Chemistry"=>2, "Computer Science"=>186, "Decision Sciences"=>7, "Earth and Planetary Sciences"=>2, "Economics, Econometrics and Finance"=>23, "Engineering"=>43, "Environmental Science"=>6, "Nursing and Health Professions"=>92, "Biochemistry, Genetics and Molecular Biology"=>7, "Mathematics"=>1, "Medicine and Dentistry"=>351, "Design"=>6, "Neuroscience"=>4, "Sports and Recreations"=>11, "Pharmacology, Toxicology and Pharmaceutical Science"=>9, "Physics and Astronomy"=>1, "Psychology"=>120, "Social Sciences"=>138}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>351}, "Social Sciences"=>{"Social Sciences"=>138}, "Decision Sciences"=>{"Decision Sciences"=>7}, "Sports and Recreations"=>{"Sports and Recreations"=>11}, "Physics and Astronomy"=>{"Physics and Astronomy"=>1}, "Psychology"=>{"Psychology"=>120}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>67}, "Environmental Science"=>{"Environmental Science"=>6}, "Pharmacology, Toxicology and Pharmaceutical Science"=>{"Pharmacology, Toxicology and Pharmaceutical Science"=>9}, "Arts and Humanities"=>{"Arts and Humanities"=>11}, "Design"=>{"Design"=>6}, "Engineering"=>{"Engineering"=>43}, "Chemistry"=>{"Chemistry"=>2}, "Neuroscience"=>{"Neuroscience"=>4}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>2}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>23}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>48}, "Computer Science"=>{"Computer Science"=>186}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>54}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>92}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>7}, "Philosophy"=>{"Philosophy"=>1}}, "reader_count_by_country"=>{"United States"=>22, "Malaysia"=>2, "Portugal"=>3, "Sweden"=>4, "Netherlands"=>5, "Austria"=>1, "Korea (South)"=>1, "Luxembourg"=>1, "Ireland"=>1, "Brazil"=>6, "Poland"=>1, "Nigeria"=>1, "France"=>1, "Colombia"=>2, "Argentina"=>1, "Romania"=>1, "Tanzania"=>1, "United Kingdom"=>25, "Ghana"=>1, "Zambia"=>1, "Kenya"=>1, "Switzerland"=>2, "Spain"=>7, "India"=>1, "New Zealand"=>1, "Canada"=>12, "Turkey"=>1, "Norway"=>2, "Finland"=>1, "Italy"=>1, "South Africa"=>1, "Peru"=>1, "Germany"=>3, "Indonesia"=>1}, "group_count"=>140}

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Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/276847", "https://ndownloader.figshare.com/files/277005", "https://ndownloader.figshare.com/files/277083", "https://ndownloader.figshare.com/files/277205"], "description"=>"<div><h3>Background</h3><p>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.</p> <h3>Methods and Findings</h3><p>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.</p> <h3>Conclusions</h3><p>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.</p> <p> <em>Please see later in the article for the Editors' Summary</em></p> </div>", "links"=>[], "tags"=>["mobile-health", "technology-based", "behaviour", "interventions", "systematic", "review"], "article_id"=>114562, "categories"=>["Medicine"], "users"=>["Caroline Free", "Gemma Phillips", "Leandro Galli", "Louise Watson", "Lambert Felix", "Phil Edwards", "Vikram Patel", "Andy Haines"], "doi"=>["https://dx.doi.org/10.1371/journal.pmed.1001362.s001", "https://dx.doi.org/10.1371/journal.pmed.1001362.s002", "https://dx.doi.org/10.1371/journal.pmed.1001362.s003", "https://dx.doi.org/10.1371/journal.pmed.1001362.s004"], "stats"=>{"downloads"=>46, "page_views"=>18, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/The_Effectiveness_of_Mobile_Health_Technology_Based_Health_Behaviour_Change_or_Disease_Management_Interventions_for_Health_Care_Consumers_A_Systematic_Review__/114562", "title"=>"The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-01-15 01:16:02"}
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PMC Usage Stats | Further Information

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Relative Metric

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