Outcomes of a decision support prompt in community pharmacy-dispensing software to promote step-down of proton pump inhibitor therapy (original) (raw)
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International Journal of Pharmacy Practice, 2010
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 (1990PsycINFO ( -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 (≥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 ≥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.
Journal of the American Medical Informatics Association, 2008
Prescribing alerts generated by computerized drug decision support (CDDS) may prevent drug-related morbidity. However, the vast majority of alerts are ignored because of clinical irrelevance. The ability to customize commercial alert systems should improve physician acceptance because the physician can select the circumstances and types of drug alerts that are viewed. We tested the effectiveness of two approaches to medication alert customization to reduce prevalence of prescribing problems: on-physician-demand versus computertriggered decision support. Physicians in each study condition were able to preset levels that triggered alerts. Design: This was a cluster trial with 28 primary care physicians randomized to either automated or on-demand CDDS in the MOXXI drug management system for 3,449 of their patients seen over the next 6 months. Measurements: The CDDS generated alerts for prescribing problems that could be customized by severity level. Prescribing problems included dosing errors, drug-drug, age, allergy, and disease interactions. Physicians randomized to on-demand activated the drug review when they considered it clinically relevant, whereas physicians randomized to computer-triggered decision support viewed all alerts for electronic prescriptions in accordance with the severity level they selected for both prevalent and incident problems. Data from administrative claims and MOXXI were used to measure the difference in the prevalence of prescribing problems at the end of follow-up. Results: During follow-up, 50% of the physicians receiving computer-triggered alerts modified the alert threshold (n ϭ 7), and 21% of the physicians in the alert-on-demand group modified the alert level (n ϭ 3). In the ondemand group 4,445 prescribing problems were identified, 41 (0.9%) were seen by requested drug review, and in 31 problems (75.6%) the prescription was revised. In comparison, 668 (10.3%) of the 6,505 prescribing problems in the computer-triggered group were seen, and 81 (12.1%) were revised. The majority of alerts were ignored because the benefit was judged greater than the risk, the interaction was known, or the interaction was considered clinically not important (computer-triggered: 75.8% of 585 ignored alerts; on-demand: 90% of 10 ignored alerts). At the end of follow-up, there was a significant reduction in therapeutic duplication problems in the computertriggered group (odds ratio 0.55; p ϭ 0.02) but no difference in the overall prevalence of prescribing problems.
Utilization of computerized clinical decision support for potentially inappropriate medications
Clinical Interventions in Aging, 2019
Background: Electronic medical record (EMR) alerts may inform point of care decisions, including the decision to prescribe potentially inappropriate medications (PIM) identified in the Beers criteria. EMR alerts may not be considered relevant or informative in the clinician context, leading to a phenomenon colloquially known as "alert fatigue." Objective: To assess the frequency of clinical interaction with EMR alerts and associated deprescribing behaviors in ambulatory settings. Methods: This is a retrospective observational study in two ambulatory clinics (the Kaye Edmonton Clinic Senior's Clinic and the Lynnwood Family Practice Clinic) in Edmonton over an observational period of 30 months. Statistical analysis was done using descriptive statistics, chi-square and regression analysis. Results: The reminder performance for interactions with the alert was 17.2% across the two clinics. The Number Needed to Remind (NNR) or mean number of alerts shown on clinician screens prior to a single interaction of any kind with the alert was 5.8. When actions were defined as a deprescribing (ie discontinuation) event that was related to the alert and that particular interaction in the EMR, the reminder performance was 1.2%, for an NNR of 82.8. Conclusion: The configuration of alerts in the EMR was not associated with a clinically detectable increase in the uptake of the Beers criteria for high hazard medications.
CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2003
Adverse drug-related events are common in the elderly, and inappropriate prescribing is a preventable risk factor. Our objective was to determine whether inappropriate prescribing could be reduced when primary care physicians had computer-based access to information on all prescriptions dispensed and automated alerts for potential prescribing problems. We randomly assigned 107 primary care physicians with at least 100 patients aged 66 years and older (total 12 560) to a group receiving computerized decision-making support (CDS) or a control group. Physicians in the CDS group had access to information on current and past prescriptions through a dedicated computer link to the provincial seniors' drug-insurance program. When any of 159 clinically relevant prescribing problems were identified by the CDS software, the physician received an alert that identified the nature of the problem, possible consequences and alternative therapy. The rate of initiation and discontinuation of pote...
Computerized clinical decision support for prescribing: provision does not guarantee uptake
Journal of the American Medical Informatics Association, 2010
There is wide variability in the use and adoption of recommendations generated by computerized clinical decision support systems (CDSSs) despite the benefits they may bring to clinical practice. We conducted a systematic review to explore the barriers to, and facilitators of, CDSS uptake by physicians to guide prescribing decisions. We identified 58 studies by searching electronic databases (1990)(1991)(1992)(1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007). Factors impacting on CDSS use included: the availability of hardware, technical support and training; integration of the system into workflows; and the relevance and timeliness of the clinical messages. Further, systems that were endorsed by colleagues, minimized perceived threats to professional autonomy, and did not compromise doctor-patient interactions were accepted by users. Despite advances in technology and CDSS sophistication, most factors were consistently reported over time and across ambulatory and institutional settings. Such factors must be addressed when deploying CDSSs so that improvements in uptake, practice and patient outcomes may be achieved.
Australian family physician, 2003
Medication adherence is often suboptimal and this leads to poorer health outcomes. 179 adult patients taking three or more, long term medications in one academic general practice in Brisbane, Queensland. Unblinded, factorial, randomised controlled trial of computer generated consumer product information, computer generated medication timetable, both, or usual care. We derived adherence to medication by measuring the relative prescription rate for six groups of medications extracted by the Health Insurance Commission. We also measured patients' knowledge of, and satisfaction with, medications, and general practitioners' attitudes to the decision support system. There was no effect on medication adherence. Although GPs were supportive of the system, neither patients' self reported knowledge of medications, nor satisfaction with care, was increased by the intervention. Simply providing patients with medication timetables and computer generated consumer product information d...
BMC Health Services Research, 2009
Computerised clinical decision support systems (CDSSs) are used widely to improve quality of care and patient outcomes. This systematic review evaluated the impact of CDSSs in targeting specific aspects of prescribing, namely initiating, monitoring and stopping therapy. We also examined the influence of clinical setting (institutional vs ambulatory care), system-or user-initiation of CDSS, multi-faceted vs stand alone CDSS interventions and clinical target on practice changes in line with the intent of the CDSS.