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Meta-analyses are undertaken to combine information from a set of studies, often in settings where some of the individual study-specific estimates are based on relatively small study samples. Finite sample bias may occur when maximum likelihood estimates of associations are obtained by fitting logistic regression models to sparse data sets. Here we show that combining information from small studies by undertaking a meta-analytical summary of logistic regression estimates can propagate such sparse-data bias. In simulations, we illustrate 2 challenges encountered in meta-analyses of logistic regression results in settings of sparse data: 1) bias in the summary meta-analytical result and 2) confidence interval coverage that can worsen rather than improve, in terms of being less than nominal, as the number of studies in the meta-analysis increases. [ABSTRACT FROM AUTHOR]

We attempted to validate a previously derived clinical prediction rule for candidemia in the pediatric intensive care unit. This multicenter case control study did not identify significant association of candidemia with most of the previously identified predictors. Additional study in larger cohorts with other predictor variables is needed. [ABSTRACT FROM AUTHOR]

Frontline clinicians caring for hospitalized children typically knew the indication for antimicrobial therapy but less often knew the current day or planned duration of therapy or of plans for intravenous to oral conversion. Night shift clinicians were less likely to know day of therapy and duration of therapy than day shift clinicians caring for the same patients. [ABSTRACT FROM AUTHOR]

Aims: To compare the real-world effectiveness of extended release naltrexone (XR-NTX) and sublingual buprenorphine (SL-BUP) for the treatment of opioid use disorder (OUD)., Design: An observational active comparator, new user cohort study., Setting: Medicaid claims records for patients in New Jersey and California, 2016-2019., Participants/cases: Adult Medicaid patients aged 18-64 years who initiated XR-NTX or SL-BUP for maintenance treatment of OUD and did not use medications for OUD in the 90-days before initiation., Comparators: New initiation with XR-NTX versus SL-BUP for the treatment of OUD., Measurements: We examined two outcomes up to 180 days after medication initiation, 1) composite of medication discontinuation and death, and 2) composite of overdose and death., Findings: Our cohort included 1,755 XR-NTX and 9,886 SL-BUP patients. In adjusted analyses, treatment with XR-NTX was more likely to result in discontinuation or death by the end of follow-up than treatment with SL-BUP: cumulative risk 76% (95% confidence interval [CI] 75%, 78%) versus 62% (95% CI 61%, 63%), respectively (risk difference 14 percentage points, 95% CI 13, 16). There was minimal difference in the cumulative risk of overdose or death by the end of follow-up: XR-NTX 3.8% (95% CI 2.9%, 4.7%) versus SL-BUP 3.3% (95% 2.9%, 3.7%); risk difference 0.5 percentage points, 95%CI -0.5, 1.5. Results were consistent across sensitivity analyses., Conclusions: Longer medication retention is important because risks of negative outcomes are elevated after discontinuation. Our results support selection of SL-BUP over XR-NTX. However, most patients discontinued medication by 6 months indicating that more effective tools are needed to improve medication retention, particularly after initiation with XR-NTX, and to identify which patients do best on which medication., Competing Interests: Declarations of competing interest: Dr. Nunes has served as an investigator on NIH-funded studies that received donated medication or digital therapeutics from Alkermes, Braeburn, Camurus, Indivior, Chess Health, and Pear Therapeutics, and has served as a consultant without compensation to Alkermes, Camurus, Indivior, and Pear Therapeutics. The remaining authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this article.

Background: Surveillance for surgical site infections (SSIs) after ambulatory surgery in children requires a detailed manual chart review to assess criteria defined by the National Health and Safety Network (NHSN). Electronic health records (EHRs) impose an inefficient search process where infection preventionists must manually review every postsurgical encounter (< 30 days). Using text mining and business intelligence software, we developed an information foraging application, the SSI Workbench, to visually present which postsurgical encounters included SSI-related terms and synonyms, antibiotic, and culture orders., Objective: This article compares the Workbench and EHR on four dimensions: (1) effectiveness, (2) efficiency, (3) workload, and (4) usability., Methods: Comparative usability test of Workbench and EHR. Objective test metrics are time per case, encounters reviewed per case, time per encounter, and retrieval of information meeting NHSN definitions. Subjective measures are cognitive load using the National Aeronautics and Space Administration (NASA) Task Load Index (NASA TLX), and a questionnaire on system usability and utility., Results: Eight infection preventionists participated in the test. There was no difference in effectiveness as subjects retrieved information from all cases, using both systems, to meet the NHSN criteria. There was no difference in efficiency in time per case between the Workbench and EHR (8.58 vs. 7.39 minutes, p  = 0.36). However, with the Workbench subjects opened fewer encounters per case (3.0 vs. 7.5, p  = 0.002), spent more time per encounter (2.23 vs. 0.92 minutes, p  = 0.002), rated the Workbench lower in cognitive load (NASA TLX, 24 vs. 33, p  = 0.02), and significantly higher in measures of usability., Conclusion: Compared with the EHR, the Workbench was more usable, short, and reduced cognitive load. In overall efficiency, the Workbench did not save time, but demonstrated a shift from between-encounter foraging to within-encounter foraging and was rated as significantly more efficient. Our results suggest that infection surveillance can be better supported by systems applying information foraging theory., Competing Interests: None., (Georg Thieme Verlag KG Stuttgart · New York.)

Objective: To describe the use of digital images captured by parents or guardians and sent to clinicians for assessment of wounds after pediatric ambulatory surgery., Methods: Subjects with digital images of post-operative wounds were identified as part of an on-going cohort study of infections after ambulatory surgery within a large pediatric healthcare system. We performed a structured review of the electronic health record (EHR) to determine how digital images were documented in the EHR and used in clinical care., Results: We identified 166 patients whose parent or guardian reported sending a digital image of the wound to the clinician after surgery. A corresponding digital image was located in the EHR in only 121 of these encounters. A change in clinical management was documented in 20% of these encounters, including referral for in-person evaluation of the wound and antibiotic prescription., Conclusion: Clinical teams have developed ad hoc workflows to use digital images to evaluate post-operative pediatric surgical patients. Because the use of digital images to support follow-up care after ambulatory surgery is likely to increase, it is important that high-quality images are captured and documented appropriately in the EHR to ensure privacy, security, and a high-level of care.

Importance: More than 500,000 children undergo tonsillectomy each year in the United States. Although prior studies suggest that most patients received perioperative antibiotics, practice varies across centers. In 2011, the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) published a practice guideline recommending against perioperative antibiotic use for pediatric tonsillectomy. The impact of this recommendation has not been thoroughly examined., Objective: To determine the impact of the AAO-HNS guideline on the use of perioperative antibiotics and patient outcomes for pediatric tonsillectomy., Design, Setting, and Participants: This was a quasi-experimental study including 9265 children who underwent routine tonsillectomy from January 2009 through August 2012 within a large pediatric health care network containing hospital-based and ambulatory surgical facilities. Data were collected from a shared electronic health record and validated through manual medical record review. We used an interrupted time series analysis with segmented logistic regression and a nonequivalent dependent variable (tympanoplasty) to assess acute changes and differences in trends over time relative to guideline publication., Interventions: Publication of the AAO-HNS clinical practice guideline., Main Outcomes and Measures: The primary outcome was antibiotic administration on the day of surgery. Secondary outcomes included otolaryngology clinic encounters, emergency department encounters, hospital admissions, and surgical procedures for bleeding in the 30 days following tonsillectomy., Results: Of 9265 tonsillectomies during the study period, 5359 met inclusion criteria. Immediately after guideline publication, perioperative antibiotic use dropped by 86.5% (P < .001) and was sustained throughout the postintervention period. Rates of otolaryngology clinic encounters, emergency department encounters, and hospital admissions did not change significantly over time. There was a small but statistically significant increase in surgical procedures for bleeding following the intervention from 1.35% (95% CI, 0.57%-2.14%) to 3.48% (95% CI, 1.85%-5.10%)., Conclusions and Relevance: AAO-HNS guideline publication decreased perioperative antibiotic use for pediatric tonsillectomy across a large pediatric health care network. Although there were no changes in otolaryngology clinic visits, emergency department visits, or admissions, we found a small but significant increase in surgery for bleeding following guideline publication. Additional studies are necessary to verify this unexpected association.