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Healthcare information technology interventions to improve cardiovascular and diabetes medication adherence.
- Source :
-
The American journal of managed care [Am J Manag Care] 2010 Dec; Vol. 16 (12 Suppl HIT), pp. SP82-92. - Publication Year :
- 2010
-
Abstract
- Objective: To determine the efficacy of healthcare information technology (HIT) interventions in improving adherence.<br />Study Design: Systematic search of randomized controlled trials of HIT interventions to improve medication adherence in cardiovascular disease or diabetes.<br />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.<br />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.<br />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.
- Subjects :
- Antihypertensive Agents therapeutic use
Drug Utilization statistics & numerical data
Humans
Medical Informatics Applications
Randomized Controlled Trials as Topic
Cardiovascular Diseases drug therapy
Diabetes Mellitus drug therapy
Medication Adherence statistics & numerical data
Reminder Systems statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1936-2692
- Volume :
- 16
- Issue :
- 12 Suppl HIT
- Database :
- MEDLINE
- Journal :
- The American journal of managed care
- Publication Type :
- Academic Journal
- Accession number :
- 21314228