@article{
 title = {Mobile Telephone Text Messaging for Medication Adherence in Chronic Disease},
 type = {article},
 year = {2016},
 identifiers = {[object Object]},
 pages = {340},
 volume = {176},
 websites = {http://archinte.jamanetwork.com/article.aspx?doi=10.1001/jamainternmed.2015.7667},
 id = {3823593f-b606-39dd-bf2a-11b8426545d7},
 created = {2019-01-02T01:01:07.337Z},
 file_attached = {true},
 profile_id = {b29b8212-e243-391a-9ac7-cf5e1615a27c},
 group_id = {ab9f36d1-9ef7-3e1e-9174-791781e41a24},
 last_modified = {2019-01-02T01:04:35.351Z},
 read = {false},
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 abstract = {IMPORTANCE Adherence to long-term therapies in chronic disease is poor.\nTraditional interventions to improve adherence are complex and not\nwidely effective. Mobile telephone text messaging may be a scalable\nmeans to support medication adherence.\nOBJECTIVES To conduct a meta-analysis of randomized clinical trials to\nassess the effect of mobile telephone text messaging on medication\nadherence in chronic disease.\nDATA SOURCES MEDLINE, EMBASE, Cochrane Central Register of Controlled\nTrials, PsycINFO, and CINAHL (from database inception to January 15,\n2015), as well as reference lists of the articles identified. The data\nwere analyzed in March 2015.\nSTUDY SELECTION Randomized clinical trials evaluating a mobile telephone\ntext message intervention to promote medication adherence in adults with\nchronic disease.\nDATA EXTRACTION Two authors independently extracted information on study\ncharacteristics, text message characteristics, and outcome measures as\nper the predefined protocol.\nMAIN OUTCOMES AND MEASURES Odds ratios and pooled data were calculated\nusing random-effects models. Risk of bias and study quality were\nassessed as per Cochrane guidelines. Disagreement was resolved by\nconsensus.\nRESULTS Sixteen randomized clinical trials were included, with 5 of 16\nusing personalization, 8 of 16 using 2-way communication, and 8 of 16\nusing a daily text message frequency. The median intervention duration\nwas 12 weeks, and self-report was the most commonly used method to\nassess medication adherence. In the pooled analysis of 2742 patients\n(median age, 39 years and 50.3\%[1380 of 2742] female), text messaging\nsignificantly improved medication adherence (odds ratio, 2.11; 95% CI,\n1.52-2.93; P <.001). The effect was not sensitive to study\ncharacteristics (intervention duration or type of disease) or text\nmessage characteristics (personalization, 2-way communication, or daily\ntext message frequency). In a sensitivity analysis, our findings\nremained robust to change in inclusion criteria based on study quality\n(odds ratio, 1.67; 95% CI, 1.21-2.29; P =.002). There was moderate\nheterogeneity (I-2 = 62%) across clinical trials. After adjustment for\npublication bias, the point estimate was reduced but remained positive\nfor an intervention effect (odds ratio, 1.68; 95% CI, 1.18-2.39).\nCONCLUSIONS AND RELEVANCE Mobile phone text messaging approximately\ndoubles the odds of medication adherence. This increase translates into\nadherence rates improving from 50% (assuming this baseline rate in\npatients with chronic disease) to 67.8%, or an absolute increase of\n17.8%. While promising, these results should be interpreted with\ncaution given the short duration of trials and reliance on self-reported\nmedication adherence measures. Future studies need to determine the\nfeatures of text message interventions that improve success, as well as\nappropriate patient populations, sustained effects, and influences on\nclinical outcomes.},
 bibtype = {article},
 author = {Thakkar, Jay and Kurup, Rahul and Laba, Tracey-Lea and Santo, Karla and Thiagalingam, Aravinda and Rodgers, Anthony and Woodward, Mark and Redfern, Julie and Chow, Clara K.},
 journal = {JAMA Internal Medicine},
 number = {3}
}

{"_id":"8XsJRr4R6PumBtK7u","bibbaseid":"thakkar-kurup-laba-santo-thiagalingam-rodgers-woodward-redfern-etal-mobiletelephonetextmessagingformedicationadherenceinchronicdisease-2016","authorIDs":[],"author_short":["Thakkar, J.","Kurup, R.","Laba, T.","Santo, K.","Thiagalingam, A.","Rodgers, A.","Woodward, M.","Redfern, J.","Chow, C., K."],"bibdata":{"title":"Mobile Telephone Text Messaging for Medication Adherence in Chronic Disease","type":"article","year":"2016","identifiers":"[object Object]","pages":"340","volume":"176","websites":"http://archinte.jamanetwork.com/article.aspx?doi=10.1001/jamainternmed.2015.7667","id":"3823593f-b606-39dd-bf2a-11b8426545d7","created":"2019-01-02T01:01:07.337Z","file_attached":"true","profile_id":"b29b8212-e243-391a-9ac7-cf5e1615a27c","group_id":"ab9f36d1-9ef7-3e1e-9174-791781e41a24","last_modified":"2019-01-02T01:04:35.351Z","read":false,"starred":false,"authored":false,"confirmed":"true","hidden":false,"private_publication":false,"abstract":"IMPORTANCE Adherence to long-term therapies in chronic disease is poor.\\nTraditional interventions to improve adherence are complex and not\\nwidely effective. Mobile telephone text messaging may be a scalable\\nmeans to support medication adherence.\\nOBJECTIVES To conduct a meta-analysis of randomized clinical trials to\\nassess the effect of mobile telephone text messaging on medication\\nadherence in chronic disease.\\nDATA SOURCES MEDLINE, EMBASE, Cochrane Central Register of Controlled\\nTrials, PsycINFO, and CINAHL (from database inception to January 15,\\n2015), as well as reference lists of the articles identified. The data\\nwere analyzed in March 2015.\\nSTUDY SELECTION Randomized clinical trials evaluating a mobile telephone\\ntext message intervention to promote medication adherence in adults with\\nchronic disease.\\nDATA EXTRACTION Two authors independently extracted information on study\\ncharacteristics, text message characteristics, and outcome measures as\\nper the predefined protocol.\\nMAIN OUTCOMES AND MEASURES Odds ratios and pooled data were calculated\\nusing random-effects models. Risk of bias and study quality were\\nassessed as per Cochrane guidelines. Disagreement was resolved by\\nconsensus.\\nRESULTS Sixteen randomized clinical trials were included, with 5 of 16\\nusing personalization, 8 of 16 using 2-way communication, and 8 of 16\\nusing a daily text message frequency. The median intervention duration\\nwas 12 weeks, and self-report was the most commonly used method to\\nassess medication adherence. In the pooled analysis of 2742 patients\\n(median age, 39 years and 50.3\\%[1380 of 2742] female), text messaging\\nsignificantly improved medication adherence (odds ratio, 2.11; 95% CI,\\n1.52-2.93; P <.001). The effect was not sensitive to study\\ncharacteristics (intervention duration or type of disease) or text\\nmessage characteristics (personalization, 2-way communication, or daily\\ntext message frequency). In a sensitivity analysis, our findings\\nremained robust to change in inclusion criteria based on study quality\\n(odds ratio, 1.67; 95% CI, 1.21-2.29; P =.002). There was moderate\\nheterogeneity (I-2 = 62%) across clinical trials. After adjustment for\\npublication bias, the point estimate was reduced but remained positive\\nfor an intervention effect (odds ratio, 1.68; 95% CI, 1.18-2.39).\\nCONCLUSIONS AND RELEVANCE Mobile phone text messaging approximately\\ndoubles the odds of medication adherence. This increase translates into\\nadherence rates improving from 50% (assuming this baseline rate in\\npatients with chronic disease) to 67.8%, or an absolute increase of\\n17.8%. While promising, these results should be interpreted with\\ncaution given the short duration of trials and reliance on self-reported\\nmedication adherence measures. Future studies need to determine the\\nfeatures of text message interventions that improve success, as well as\\nappropriate patient populations, sustained effects, and influences on\\nclinical outcomes.","bibtype":"article","author":"Thakkar, Jay and Kurup, Rahul and Laba, Tracey-Lea and Santo, Karla and Thiagalingam, Aravinda and Rodgers, Anthony and Woodward, Mark and Redfern, Julie and Chow, Clara K.","journal":"JAMA Internal Medicine","number":"3","bibtex":"@article{\n title = {Mobile Telephone Text Messaging for Medication Adherence in Chronic Disease},\n type = {article},\n year = {2016},\n identifiers = {[object Object]},\n pages = {340},\n volume = {176},\n websites = {http://archinte.jamanetwork.com/article.aspx?doi=10.1001/jamainternmed.2015.7667},\n id = {3823593f-b606-39dd-bf2a-11b8426545d7},\n created = {2019-01-02T01:01:07.337Z},\n file_attached = {true},\n profile_id = {b29b8212-e243-391a-9ac7-cf5e1615a27c},\n group_id = {ab9f36d1-9ef7-3e1e-9174-791781e41a24},\n last_modified = {2019-01-02T01:04:35.351Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {IMPORTANCE Adherence to long-term therapies in chronic disease is poor.\\nTraditional interventions to improve adherence are complex and not\\nwidely effective. Mobile telephone text messaging may be a scalable\\nmeans to support medication adherence.\\nOBJECTIVES To conduct a meta-analysis of randomized clinical trials to\\nassess the effect of mobile telephone text messaging on medication\\nadherence in chronic disease.\\nDATA SOURCES MEDLINE, EMBASE, Cochrane Central Register of Controlled\\nTrials, PsycINFO, and CINAHL (from database inception to January 15,\\n2015), as well as reference lists of the articles identified. The data\\nwere analyzed in March 2015.\\nSTUDY SELECTION Randomized clinical trials evaluating a mobile telephone\\ntext message intervention to promote medication adherence in adults with\\nchronic disease.\\nDATA EXTRACTION Two authors independently extracted information on study\\ncharacteristics, text message characteristics, and outcome measures as\\nper the predefined protocol.\\nMAIN OUTCOMES AND MEASURES Odds ratios and pooled data were calculated\\nusing random-effects models. Risk of bias and study quality were\\nassessed as per Cochrane guidelines. Disagreement was resolved by\\nconsensus.\\nRESULTS Sixteen randomized clinical trials were included, with 5 of 16\\nusing personalization, 8 of 16 using 2-way communication, and 8 of 16\\nusing a daily text message frequency. The median intervention duration\\nwas 12 weeks, and self-report was the most commonly used method to\\nassess medication adherence. In the pooled analysis of 2742 patients\\n(median age, 39 years and 50.3\\%[1380 of 2742] female), text messaging\\nsignificantly improved medication adherence (odds ratio, 2.11; 95% CI,\\n1.52-2.93; P <.001). The effect was not sensitive to study\\ncharacteristics (intervention duration or type of disease) or text\\nmessage characteristics (personalization, 2-way communication, or daily\\ntext message frequency). In a sensitivity analysis, our findings\\nremained robust to change in inclusion criteria based on study quality\\n(odds ratio, 1.67; 95% CI, 1.21-2.29; P =.002). There was moderate\\nheterogeneity (I-2 = 62%) across clinical trials. After adjustment for\\npublication bias, the point estimate was reduced but remained positive\\nfor an intervention effect (odds ratio, 1.68; 95% CI, 1.18-2.39).\\nCONCLUSIONS AND RELEVANCE Mobile phone text messaging approximately\\ndoubles the odds of medication adherence. This increase translates into\\nadherence rates improving from 50% (assuming this baseline rate in\\npatients with chronic disease) to 67.8%, or an absolute increase of\\n17.8%. While promising, these results should be interpreted with\\ncaution given the short duration of trials and reliance on self-reported\\nmedication adherence measures. Future studies need to determine the\\nfeatures of text message interventions that improve success, as well as\\nappropriate patient populations, sustained effects, and influences on\\nclinical outcomes.},\n bibtype = {article},\n author = {Thakkar, Jay and Kurup, Rahul and Laba, Tracey-Lea and Santo, Karla and Thiagalingam, Aravinda and Rodgers, Anthony and Woodward, Mark and Redfern, Julie and Chow, Clara K.},\n journal = {JAMA Internal Medicine},\n number = {3}\n}","author_short":["Thakkar, J.","Kurup, R.","Laba, T.","Santo, K.","Thiagalingam, A.","Rodgers, A.","Woodward, M.","Redfern, J.","Chow, C., K."],"urls":{"Paper":"https://bibbase.org/service/mendeley/b29b8212-e243-391a-9ac7-cf5e1615a27c/file/2c9c2ea0-5739-5b4b-10bb-b952b195a4a7/Thakkar_et_al___2016___Mobile_Telephone_Text_Messaging_for_Medication_Adherence_in_Chronic_Disease.pdf.pdf","Website":"http://archinte.jamanetwork.com/article.aspx?doi=10.1001/jamainternmed.2015.7667"},"bibbaseid":"thakkar-kurup-laba-santo-thiagalingam-rodgers-woodward-redfern-etal-mobiletelephonetextmessagingformedicationadherenceinchronicdisease-2016","role":"author","downloads":0},"bibtype":"article","creationDate":"2019-11-09T05:25:20.794Z","downloads":0,"keywords":[],"search_terms":["mobile","telephone","text","messaging","medication","adherence","chronic","disease","thakkar","kurup","laba","santo","thiagalingam","rodgers","woodward","redfern","chow"],"title":"Mobile Telephone Text Messaging for Medication Adherence in Chronic Disease","year":2016}