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dc.contributor.authorMisono, Alexander S.
dc.contributor.authorCutrona, Sarah L.
dc.contributor.authorChoudhry, Niteesh K.
dc.contributor.authorFischer, Michael A.
dc.contributor.authorStedman, Margaret R.
dc.contributor.authorLiberman, Joshua N.
dc.contributor.authorBrennan, Troyen
dc.contributor.authorJain, Sachin H.
dc.contributor.authorShrank, William H.
dc.date2022-08-11T08:09:21.000
dc.date.accessioned2022-08-23T16:27:46Z
dc.date.available2022-08-23T16:27:46Z
dc.date.issued2010-12-16
dc.date.submitted2011-09-09
dc.identifier.citationAm J Manag Care. 2010 Dec;16(12 Suppl HIT):SP82-92. <a href="http://www.ajmc.com/publications/supplement/2010/AJMC_10dec_HIT/AJMC_10decHIT_Misono_SP82to92/">Link to article on publisher's website</a>
dc.identifier.issn1088-0224 (Linking)
dc.identifier.pmid21314228
dc.identifier.urihttp://hdl.handle.net/20.500.14038/36861
dc.description.abstractOBJECTIVE: To determine the efficacy of healthcare information technology (HIT) interventions in improving adherence. STUDY DESIGN: Systematic search of randomized controlled trials of HIT interventions to improve medication adherence in cardiovascular disease or diabetes. METHODS: Interventions were classified as 1-way patient reminder systems, 2-way interactive systems, and systems to enhance patient-provider interaction. Studies were subclassified into those with and without real-time provider feedback. Cohen's d effect sizes were calculated to assess each intervention's magnitude of effectiveness. RESULTS: We identified 7190 articles, only 13 of which met inclusion criteria. The majority of included studies (54%, 7 studies) showed a very small ES. The effect size was small in 15%, large in 8%, and was not amenable to calculation in the remainder. Reminder systems were consistently effective, showing the largest effect sizes in this review. Education/counseling HIT systems were less successful, as was the addition of realtime adherence feedback to healthcare providers. Interactive systems were rudimentary and not integrated into electronic health records; they exhibited very small effect sizes. Studies aiming to improve patient-provider communication also had very small effect sizes. CONCLUSIONS: There is a paucity of data about HIT's efficacy in improving adherence to medications for cardiovascular disease and diabetes, although simple patient reminder systems appear effective. Future studies should focus on more sophisticated interactive interventions that expand the functionality and capabilities of HIT and better engage patients in care.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=21314228&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://www.ajmc.com/publications/supplement/2010/AJMC_10dec_HIT/AJMC_10decHIT_Misono_SP82to92/
dc.subjectAntihypertensive Agents
dc.subjectCardiovascular Diseases
dc.subjectDiabetes Mellitus
dc.subjectDrug Utilization
dc.subjectHumans
dc.subjectMedical Informatics Applications
dc.subject*Medication Adherence
dc.subjectRandomized Controlled Trials as Topic
dc.subjectReminder Systems
dc.subjectHealth Services Research
dc.subjectMedicine and Health Sciences
dc.titleHealthcare information technology interventions to improve cardiovascular and diabetes medication adherence
dc.typeJournal Article
dc.source.journaltitleThe American journal of managed care
dc.source.volume16
dc.source.issue12 Suppl HIT
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/meyers_pp/235
dc.identifier.contextkey2227699
html.description.abstract<p>OBJECTIVE: To determine the efficacy of healthcare information technology (HIT) interventions in improving adherence.</p> <p>STUDY DESIGN: Systematic search of randomized controlled trials of HIT interventions to improve medication adherence in cardiovascular disease or diabetes.</p> <p>METHODS: Interventions were classified as 1-way patient reminder systems, 2-way interactive systems, and systems to enhance patient-provider interaction. Studies were subclassified into those with and without real-time provider feedback. Cohen's d effect sizes were calculated to assess each intervention's magnitude of effectiveness.</p> <p>RESULTS: We identified 7190 articles, only 13 of which met inclusion criteria. The majority of included studies (54%, 7 studies) showed a very small ES. The effect size was small in 15%, large in 8%, and was not amenable to calculation in the remainder. Reminder systems were consistently effective, showing the largest effect sizes in this review. Education/counseling HIT systems were less successful, as was the addition of realtime adherence feedback to healthcare providers. Interactive systems were rudimentary and not integrated into electronic health records; they exhibited very small effect sizes. Studies aiming to improve patient-provider communication also had very small effect sizes.</p> <p>CONCLUSIONS: There is a paucity of data about HIT's efficacy in improving adherence to medications for cardiovascular disease and diabetes, although simple patient reminder systems appear effective. Future studies should focus on more sophisticated interactive interventions that expand the functionality and capabilities of HIT and better engage patients in care.</p>
dc.identifier.submissionpathmeyers_pp/235
dc.contributor.departmentMeyers Primary Care Institute
dc.source.pagesSP82-92


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