Literature DB >> 20441116

The impact of pharmacy computerised clinical decision support on prescribing, clinical and patient outcomes: a systematic review of the literature.

Jane Robertson1, Emily Walkom, Sallie-Anne Pearson, Isla Hains, Margaret Williamsone, David Newby.   

Abstract

OBJECTIVES: Computerised clinical decision support systems (CDSSs) are being used increasingly to support evidence-based decision-making by health care professionals. This systematic review evaluated the impact of CDSSs targeting pharmacists on physician prescribing, clinical and patient outcomes. We compared the impact of CDSSs addressing safety concerns (drug interactions, contraindications, dose monitoring and adjustment) and those focusing on medicines use in line with guideline recommendations (hereafter referred to as Quality Use of Medicines, or QUM). We also examined the influence of clinical setting (institutional versus ambulatory care), system- or user-initiation of CDSS, prescribing versus clinical outcomes reported and use of multi-faceted versus single interventions on system effectiveness.
METHODS: We searched Medline, Embase, CINAHL and PsycINFO (1990-2009) for methodologically adequate studies (experiments and strong quasi-experiments) comparing a CDSS with usual pharmacy care. Individual study results are reported as positive trends or statistically significant results in the direction of the intentions of the CDSS being tested. Studies are aggregated and compared as the proportions of studies showing the effectiveness of the CDSS on the majority (> or = 50%) of outcomes reported in the individual study. KEY
FINDINGS: Of 21 eligible studies, 11 addressed safety and 10 QUM issues. CDSSs addressing safety issues were more effective than CDSSs focusing on QUM (10/11 versus 4/10 studies reporting statistically significant improvements in favour of CDSSs on > or = 50% of all outcomes reported; P = 0.01). A number of QUM studies noted the limited contact between pharmacists and physicians relating to QUM treatment recommendations. More studies demonstrated CDSS benefits on prescribing outcomes than clinical outcomes (10/10 versus 0/3 studies; P = 0.002). There were too few studies to assess the impact of system- versus user-initiated CDSS, the influence of setting or multi-faceted interventions on CDSS effectiveness.
CONCLUSIONS: Our study demonstrated greater effectiveness of safety-focused compared with QUM-focused CDSSs. Medicine safety issues are traditional areas of pharmacy activity. Without good communication between pharmacists and physicians, the full benefits of QUM-focused CDSSs may not be realised. Developments in pharmacy-based CDSSs need to consider these inter-professional relationships as well as computer-system enhancements.

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Mesh:

Year:  2010        PMID: 20441116

Source DB:  PubMed          Journal:  Int J Pharm Pract        ISSN: 0961-7671


  18 in total

1.  Potential drug-related problems detected by electronic expert support system: physicians' views on clinical relevance.

Authors:  Tora Hammar; Bodil Lidström; Göran Petersson; Yngve Gustafson; Birgit Eiermann
Journal:  Int J Clin Pharm       Date:  2015-06-06

Review 2.  Effectiveness of clinical pharmacy services: an overview of systematic reviews (2000-2010).

Authors:  Inajara Rotta; Teresa M Salgado; Maria Lara Silva; Cassyano J Correr; Fernando Fernandez-Llimos
Journal:  Int J Clin Pharm       Date:  2015-05-23

Review 3.  A Survey of the Literature on Unintended Consequences Associated with Health Information Technology: 2014-2015.

Authors:  K Zheng; J Abraham; L L Novak; T L Reynolds; A Gettinger
Journal:  Yearb Med Inform       Date:  2016-11-10

4.  Transformation of the National Breast Cancer Guideline Into Data-Driven Clinical Decision Trees.

Authors:  Mathijs P Hendriks; Xander A A M Verbeek; Thijs van Vegchel; Maurice J C van der Sangen; Luc J A Strobbe; Jos W S Merkus; Harmien M Zonderland; Carolien H Smorenburg; Agnes Jager; Sabine S Siesling
Journal:  JCO Clin Cancer Inform       Date:  2019-05

5.  Impact of pharmacists' interventions on physicians' decision of a knowledge-based renal dosage adjustment system.

Authors:  Kyung Suk Choi; Eunsook Lee; Sandy Jeong Rhie
Journal:  Int J Clin Pharm       Date:  2019-03-12

6.  End-users feedback and perceptions associated with the implementation of a clinical-rule based Check of Medication Appropriateness service.

Authors:  Charlotte Quintens; Willy E Peetermans; Lorenz Van der Linden; Peter Declercq; Bart Van den Bosch; Isabel Spriet
Journal:  BMC Med Inform Decis Mak       Date:  2022-07-05       Impact factor: 3.298

Review 7.  A Narrative Review of Clinical Decision Support for Inpatient Clinical Pharmacists.

Authors:  Liang Yan; Thomas Reese; Scott D Nelson
Journal:  Appl Clin Inform       Date:  2021-03-17       Impact factor: 2.342

8.  Evaluation Framework for Successful Artificial Intelligence-Enabled Clinical Decision Support Systems: Mixed Methods Study.

Authors:  Mengting Ji; Georgi Z Genchev; Hengye Huang; Ting Xu; Hui Lu; Guangjun Yu
Journal:  J Med Internet Res       Date:  2021-06-02       Impact factor: 5.428

9.  Optimizing Clinical Monitoring Tools to Enhance Patient Review by Pharmacists.

Authors:  Diana J Schreier; Jenna K Lovely
Journal:  Appl Clin Inform       Date:  2021-06-23       Impact factor: 2.762

Review 10.  Interventions to improve safe and effective medicines use by consumers: an overview of systematic reviews.

Authors:  Rebecca Ryan; Nancy Santesso; Dianne Lowe; Sophie Hill; Jeremy Grimshaw; Megan Prictor; Caroline Kaufman; Genevieve Cowie; Michael Taylor
Journal:  Cochrane Database Syst Rev       Date:  2014-04-29
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