The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Computerised reminders and feedback in medication management: a systematic review of randomised controlled trials
Abstract
OBJECTIVE: To systematically review randomised controlled trials (RCTs) of computer-generated medication reminders or feedback directed to healthcare providers or patients. DATA SOURCES: Extensive computerised and manual literature searches identified 76 English-language reports of RCTs reported before 1 January 2002. Searches were conducted between June 1998 and April 2002. STUDY SELECTION: 26 papers making 29 comparisons (two papers reported on multiple interventions) of computer-supported medication management to a control group. DATA EXTRACTION: The quality of the RCTs was systematically assessed and scored independently by two reviewers. Rates of compliance with (potential) reminders for the control and intervention groups were extracted. DATA SYNTHESIS: Heterogeneity of studies prevented a meta-analysis. Where possible, rates were calculated using the intention-to-treat principle. The comparisons were grouped into five areas. Reminders to providers in outpatient settings: six of 12 comparisons demonstrated positive effects (relative rates [RRs: intervention rates/control rates], 1.0 to 42.0). Provider feedback in outpatient settings: five of seven comparisons showed improved clinician behaviour (RRs, 1.0 to 2.5). Combined reminders and feedback in outpatient settings: the single comparison found no improvement. Reminders to providers in inpatient settings: three of five comparisons showed improvements (RRs, 1.0 to 2.1). Patient-directed reminders: two of four comparisons showed improvements in patient compliance. CONCLUSION: Reminders are more effective than feedback in modifying physician behaviour related to medication management. Patient-directed reminders can improve medication adherence.
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“Systematic reviews of electronic and paper-based clinical decision support across a range of clinical domains have demonstrated its effectiveness in changing clinicians' practices such as screening, test ordering and guideline adherence, 5 7-9 11-13 but there is no consistent translation into patient outcomes.11”
From Computerized clinical decision support for prescribing: provision does not guarantee uptake (2010) · cites this paper as [9]
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“Systematic reviews have demonstrated that use of CDSSs for prescribing can reduce toxic drug levels and time to therapeutic control, 5 6 reduce medication errors 7 8 and change prescribing in accordance with guideline recommendations.9”
From Computerized clinical decision support for prescribing: provision does not guarantee uptake (2010) · cites this paper as [9]
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“Consistent with a review article on reminders and feedback (Bennett and Glasziou, 2003), many participants were interested in information about treatment efficacy for various tobacco cessation interventions, feedback about their E-STOPS behavior, and access to brief online courses.”
Cardiovascular medication: improving adherence.
Glynn, L. G., & Fahey, T. P. (2011) · Europe PMC (PubMed Central) · Cited by 13
Bywood, P. T., Lunnay, B., & ROCHE, A. M. (2008) · Drug and Alcohol Review · doi:10.1080/09595230802245535 · Cited by 13
Shanahan, M., Shakeshaft, A. P., & Mattick, R. P. (2006) · Applied Health Economics and Health Policy · doi:10.2165/00148365-200605030-00002 · Cited by 13
Carvalho, E., Batilana, A. P., Claudino, W. M., Reis, L. F. L., Schmerling, R. A., Shah, J. Y., & Pietrobon, R. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0039671 · Cited by 12
“Although the benefits of decision support systems in enhancing the safety and quality of clinical practice [43,44,45], reducing errors [46,47] and ensuring adherence to practice guidelines [48,49] has amply been demonstrated in the past, they are equally useful in clinical research settings.”
¿Podemos mejorar el tratamiento y el control de las enfermedades crónicas?
Cadena, D. Y., Sarría‐Santamera, A., & Lizana, F. G. (2006) · Atención Primaria · doi:10.1157/13085953 · Cited by 12
Clinical Decision Support System for Managing COPD-Related Readmission Risk
Huang, C., Goo, J., Behara, R. S., & Agarwal, A. (2018) · Information Systems Frontiers · doi:10.1007/s10796-018-9881-4 · Cited by 12
Cox, S. M. L., Lo-A-Foe, K., van Hoof, M. W. E. M., Dinant, G., Oudhuis, G. J., Savelkoul, P. H. M., Cals, J., & de Bont, E. G. P. M. (2022) · Antibiotics · doi:10.3390/antibiotics11111560 · Cited by 11
“, have been shown to be able to change prescribing behavior in the past [34].”
Gagnon, M., Légaré, F., Labrecque, M., Frémont, P., Pluye, P., Gagnon, J., & Gravel, K. (2006) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd006093 · Cited by 12
Lee, W. (2005) · Hong Kong Journal of Emergency Medicine · doi:10.1177/102490790501200207 · Cited by 10
“There are several methods mentioned in the literature on interventions affecting doctors' prescribing patterns.(26-30) Some examples were distribution of educational materials to the physicians, educational teaching and meetings, influencing local opinion leaders to lead by examples and audit and feedback systems.”
Increasing uptake of NHS Health Checks: a randomised controlled trial using GP computer prompts
Gold, N., Tan, K. L. L., Sherlock, J., Watson, R. L., & Chadborn, T. (2021) · British Journal of General Practice · doi:10.3399/bjgp.2020.0887 · Cited by 9
Reliable Blood Pressure Self-measurement in the Obstetric Waiting Room
Kamper, C. H., Rasmussen, N. H., Ahrendt, P., Toftegaard, T. S., Bertelsen, O. W., & Wagner, S. R. (2014) · Methods of Information in Medicine · doi:10.3414/me13-01-0032 · Cited by 10
A Mnemonic for Pharmacy Students to Use in Pharmacotherapy Assessment
Bruno, C. B., Ip, E. J., Shah, B. M., & Linn, W. D. (2012) · American Journal of Pharmaceutical Education · doi:10.5688/ajpe76116 · Cited by 10
Sobota, M., Warkol, R., Gold, M., Milan, F. B., Schwarz, E. B., Arnsten, J. H., & Kunins, H. V. (2008) · Contraception · doi:10.1016/j.contraception.2008.03.014 · Cited by 9
“Studies have shown that physicians' preventive care counseling and prescribing practices can improve with interventions [3–5].”
van der Weijden, T., Wensing, M., Eccles, M., & Grol, R. P. T. M. (2013) · Wiley eBooks · doi:10.1002/9781118525975.ch13 · Cited by 9
Effect of computerisation on Australian general practice: does it improve the quality of care?
Henderson, J., Miller, G. C., Britt, H. C., & Pan, Y. (2010) · PubMed · Cited by 8
Improving Heart Failure Care with a Reminder Attached to the Echocardiography Report
Heidenreich, P. A. (2008) · The American Journal of Medicine · doi:10.1016/j.amjmed.2008.06.021 · Cited by 8
The socioeconomic aspects of information technology for health care with emphasis on radiology1
Sistrom, C. L. (2005) · Academic Radiology · doi:10.1016/j.acra.2005.01.006 · Cited by 8
Alert fatigue measurement in clinical decision support: a systematic review
Ray, C. E., Wilson, G., Hughes, A. M., Goedken, C. C., Liu, E. P.-F., Fitzpatrick, M. A., Suda, K. J., Kota, S. M., Nwankpa, C., & Evans, C. (2026) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocag064 · Cited by 7
Pereyra, L., Steinberg, L., Criniti, J. M., Luna, P., Escobar, R., Bun, M. E., Yantorno, M., Esteves, S., González, N., Hoffman, P., et al. (2021) · Endoscopy International Open · doi:10.1055/a-1544-4773 · Cited by 7
Adoption and Assessment of Hospital Information Systems: A Study of Hospitals in Jalandhar
Batra, R., & Pall, A. S. (2015) · Asia-Pacific Journal of Management Research and Innovation · doi:10.1177/2319510x15588383 · Cited by 7
“…system ( ) and its wide-spread application in health care institutions require professional evaluation to make an assessment of its usefulness (Bennett & Glasziou, 2003, pp. 217–222; Gagnon massive, integrated system that supports the comprehensive information requirements of hospitals,…”
The Chronic Care Model: Which Physician Practice Organizations Adapt Best?
Rondeau, K. V., & Bell, N. R. (2009) · Healthcare Management Forum · doi:10.1016/s0840-4704(10)60140-8 · Cited by 6
Minian, N., Lingam, M., Moineddin, R., Thorpe, K. E., Veldhuizen, S., Dragonetti, R., Zawertailo, L. A., Taylor, V. H., Hahn, M., deRuiter, W. K., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/37900 · Cited by 6
Evers, V., Wildvuur, S., & Kröse, B. (2010) · International Workshop on Affective Interaction in Natural Environments (AFFINE) · doi:10.1145/1877826.1877842 · Cited by 6
Metadata
- Authors
- Bennett, J. W., & Glasziou, P. P.
- Affiliations
- The University of Queensland (AU)
- ORCID
- Glasziou, Paul P
- Venue
- Medical Journal of Australia
- Publisher
- AMPCo
- Published
- 2003-03
- Volume
- 178
- Issue
- 5
- Pages
- 217-222
- ISSN
- 0025-729X (ISSN-L)
- 1326-5377
- OpenAlex
- W1548347845
- Cited by
- 146
- References
- 53
- Citations by year
- 2026: 2 · 2025: 1 · 2023: 1 · 2022: 6 · 2021: 6 · 2020: 2 · 2019: 4 · 2018: 4 · 2017: 7 · 2016: 3 · 2015: 6 · 2014: 7 · 2013: 6 · 2012: 13
- FWCI
- 2.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Medical Journal of Australia (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Geriatrics and Gerontology › Pharmaceutical Practices and Patient Outcomes
- Keywords
- provider feedback, medication management, medication adherence, clinician behavior, outpatient settings, inpatient settings
- MeSH terms
- Drug Therapy, Feedback, Humans, Outpatients, Patient Compliance, Practice Patterns, Physicians', Quality Control, Randomized Controlled Trials as Topic, Reminder Systems
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