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Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis.

ABSTRACT: Objective:To conduct a systematic review and meta-analysis of the impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay (LOS), and mortality in intensive care units (ICUs). Methods:We searched for English-language literature published between January 2000 and January 2016 using Medline, Embase, and CINAHL. Titles and abstracts of 586 unique citations were screened. Studies were included if they: (1) reported results for an ICU population; (2) evaluated the impact of CPOE or the addition of CDSSs to an existing CPOE system; (3) reported quantitative data on medication errors, ICU LOS, hospital LOS, ICU mortality, and/or hospital mortality; and (4) used a randomized controlled trial or quasi-experimental study design. Results:Twenty studies met our inclusion criteria. The transition from paper-based ordering to commercial CPOE systems in ICUs was associated with an 85% reduction in medication prescribing error rates and a 12% reduction in ICU mortality rates. Overall meta-analyses of LOS and hospital mortality did not demonstrate a significant change. Discussion and Conclusion:Critical care settings, both adult and pediatric, involve unique complexities, making them vulnerable to medication errors and adverse patient outcomes. The currently limited evidence base requires research that has sufficient statistical power to identify the true effect of CPOE implementation. There is also a critical need to understand the nature of errors arising post-CPOE and how the addition of CDSSs can be used to provide greater benefit to delivering safe and effective patient care.

SUBMITTER: Prgomet M

PROVIDER: S-EPMC7651905 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis.

Prgomet Mirela M Li Ling L Niazkhani Zahra Z Georgiou Andrew A Westbrook Johanna I JI

Journal of the American Medical Informatics Association : JAMIA 20170301 2

<h4>Objective</h4>To conduct a systematic review and meta-analysis of the impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay (LOS), and mortality in intensive care units (ICUs).<h4>Methods</h4>We searched for English-language literature published between January 2000 and January 2016 using Medline, Embase, and CINAHL. Titles and abstracts of 586 unique citations were screened. Studies were included if t ...[more]

PMID: 28395016

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Project description:ImportanceConventional approaches for tracking postoperative adverse events requires manual medical record review, thus limiting the scalability of such efforts.ObjectiveTo determine if a surveillance system using computerized provider order entry (CPOE) events for selected medications as well as laboratory, microbiologic, and radiologic orders can decrease the manual medical record review burden for surveillance of postoperative complications.Design, setting, and participantsThis cohort study reviewed the medical records of 21 775 patients who underwent surgical procedures at a university-based tertiary referral center (University of Utah, Salt Lake City) from July 1, 2007, to August 31, 2017. Patients were included if their case was selected for review by a surgical clinical reviewer as part of the National Surgical Quality Improvement Program. Patients were excluded if they had incomplete follow-up data.Main outcomes and measuresThirty-day postoperative occurrences of superficial surgical site infection, deep surgical site infection, organ space surgical site infection, urinary tract infection, pneumonia, sepsis, septic shock, deep vein thrombosis requiring therapy, and pulmonary embolism, as defined by the National Surgical Quality Improvement Program. A logistic regression model was developed for each postoperative complication using CPOE features as predictors on a development set, and performance was measured on a holdout internal validation set. The models were internally validated using bootstrapping with 10 000 replications to determine the sensitivity, specificity, positive predictive value, and negative predictive value of CPOE-based surveillance system.ResultsThe study included 21 775 patients who underwent surgical procedures. Among these patients, 11 855 (54.4%) were women and 9920 (45.6%) were men, with a mean (SD) age of 51.7 (16.8) years. Overall, the prevalence of postoperative complications was low, ranging from 0.2% (pulmonary embolism) to 2.6% (superficial surgical site infection). Use of CPOE events to detect patients who experienced at least 1 complication had a sensitivity of 74.8% (95% CI, 71.1%-78.4%), specificity of 86.8% (95% CI, 85.5%-88.3%), positive predictive value of 33.8% (95% CI, 31.2%-36.4%), negative predictive value of 97.5% (95% CI, 97.1%-97.8%), and area under the curve of 0.808 (95% CI, 0.791-0.824). The negative predictive value for individual complications ranged from 98.7% to 100%. Use of CPOE events to screen for adverse events was estimated to diminish the burden of manual medical record review by 55.4% to 90.3%. A CPOE-based surveillance system performed well for both inpatient and outpatient procedures.Conclusions and relevanceA CPOE-based surveillance of postoperative complications has high negative predictive value, which demonstrates that this approach can augment the currently used, resource-intensive manual medical record review process.

Dataset Information

Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis.

Publications

Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis.

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