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Browsing by Author "Nuckols, Teryl K."

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    Economic Evaluation of Quality Improvement Interventions Designed to Prevent Hospital Readmission A Systematic Review and Meta-analysis
    Morton, Sally C.; Nuckols, Teryl K.; Keeler, Emmett B.; Anderson, Laura J.; Doyle, Brian J.; Pevnick, Joshua; Booth, Marika; Shanman, Roberta; Arifkhanova, Aziza; Shekelle, Paul G. (AMA, 2017-05-30)
    IMPORTANCE Quality improvement (QI) interventions can reduce hospital readmission, but little is known about their economic value. OBJECTIVE To systematically review economic evaluations of QI interventions designed to reduce readmissions. DATA SOURCES Databases searched included PubMed, Econlit, the Centre for Reviews & Dissemination Economic Evaluations, New York Academy of Medicine's Grey Literature Report, andWorldcat (January 2004 to July 2016). STUDY SELECTION Dual reviewers selected English-language studies from high-income countries that evaluated organizational or structural changes to reduce hospital readmission, and that reported program and readmission-related costs. DATA EXTRACTION AND SYNTHESIS Dual reviewers extracted intervention characteristics, study design, clinical effectiveness, study quality, economic perspective, and costs.We calculated the risk difference and net costs to the health system in 2015 US dollars.Weighted least-squares regression analyses tested predictors of the risk difference and net costs. MAIN OUTCOMES AND MEASURES Main outcomes measures included the risk difference in readmission rates and incremental net cost. This systematic review and data analysis is reported in accordance with Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines. RESULTS Of 5205 articles, 50 unique studies were eligible, including 25 studies in populations limited to heart failure (HF) that included 5768 patients, 21 in general populations that included 10 445 patients, and 4 in unique populations. Fifteen studies lasted up to 30 days while most others lasted 6 to 24 months. Based on regression analyses, readmissions declined by an average of 12.1% among patients with HF (95%CI, 8.3%-15.9%; P < .001; based on 22 studies with complete data) and by 6.3%among general populations (95%CI, 4.0%-8.7%; P < .001; 18 studies). The mean net savings to the health system per patient was $972 among patients with HF (95%CI, −$642 to $2586; P = .23; 24 studies), and the mean net loss was $169 among general populations (95%CI, −$2610 to $2949; P = .90; 21 studies), reflecting nonsignificant differences. Among general populations, interventions that engaged patients and caregivers were associated with greater net savings ($1714 vs −$6568; P = .006). CONCLUSIONS AND RELEVANCE Multicomponent QI interventions can be effective at reducing readmissions relative to the status quo, but net costs vary. Interventions that engage general populations of patients and their caregivers may offer greater value to the health system, but the implications for patients and caregivers are unknown.
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    The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis
    Nuckols, Teryl K.; Smith-Spangler, Crystal; Morton, Sally C.; Asch, Steven M.; Patel, Vaspaan M.; Anderson, Laura J.; Deichsel, Emily L.; Shekelle, Paul G. (BMC, 2014)
    Background: The Health Information Technology for Economic and Clinical Health (HITECH) Act subsidizes implementation by hospitals of electronic health records with computerized provider order entry (CPOE), which may reduce patient injuries caused by medication errors (preventable adverse drug events, pADEs). Effects on pADEs have not been rigorously quantified, and effects on medication errors have been variable. The objectives of this analysis were to assess the effectiveness of CPOE at reducing pADEs in hospital-related settings, and examine reasons for heterogeneous effects on medication errors. Methods: Articles were identified using MEDLINE, Cochrane Library, Econlit, web-based databases, and bibliographies of previous systematic reviews (September 2013). Eligible studies compared CPOE with paper-order entry in acute care hospitals, and examined diverse pADEs or medication errors. Studies on children or with limited event-detection methods were excluded. Two investigators extracted data on events and factors potentially associated with effectiveness. We used random effects models to pool data. Results: Sixteen studies addressing medication errors met pooling criteria; six also addressed pADEs. Thirteen studies used pre-post designs. Compared with paper-order entry, CPOE was associated with half as many pADEs (pooled risk ratio (RR) = 0.47, 95% CI 0.31 to 0.71) and medication errors (RR = 0.46, 95% CI 0.35 to 0.60). Regarding reasons for heterogeneous effects on medication errors, five intervention factors and two contextual factors were sufficiently reported to support subgroup analyses or meta-regression. Differences between commercial versus homegrown systems, presence and sophistication of clinical decision support, hospital-wide versus limited implementation, and US versus non-US studies were not significant, nor was timing of publication. Higher baseline rates of medication errors predicted greater reductions (P < 0.001). Other context and implementation variables were seldom reported. Conclusions: In hospital-related settings, implementing CPOE is associated with a greater than 50% decline in pADEs, although the studies used weak designs. Decreases in medication errors are similar and robust to variations in important aspects of intervention design and context. This suggests that CPOE implementation, as subsidized under the HITECH Act, may benefit public health. More detailed reporting of the context and process of implementation could shed light on factors associated with greater effectiveness.