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Objectives To examine changes in technology-related errors (TREs), their manifestations and underlying mechanisms at 3 time points after the implementation of computerized provider order entry (CPOE) in an electronic health record; and evaluate the clinical decision support (CDS) available to mitigate the TREs at 5-years post-CPOE. Materials and Methods Prescribing errors (n  = 1315) of moderate, major, or serious potential harm identified through review of 35 322 orders at 3 time points (immediately, 1-year, and 4-years post-CPOE) were assessed to identify TREs at a tertiary pediatric hospital. TREs were coded using the Technology-Related Error Mechanism classification. TRE rates, percentage of prescribing errors that were TREs, and mechanism rates were compared over time. Each TRE was tested in the CPOE 5-years post-implementation to assess the availability of CDS to mitigate the error. Results TREs accounted for 32.5% (n  = 428) of prescribing errors; an adjusted rate of 1.49 TREs/100 orders (95% confidence interval [CI]: 1.06, 1.92). At 1-year post-CPOE, the rate of TREs was 40% lower than immediately post (incident rate ratio [IRR]: 0.60; 95% CI: 0.41, 0.89). However, at 4-years post, the TRE rate was not significantly different to baseline (IRR: 0.80; 95% CI: 0.59, 1.08). "New workflows required by the CPOE" was the most frequent TRE mechanism at all time points. CDS was available to mitigate 32.7% of TREs. Discussion In a pediatric setting, TREs persisted 4-years post-CPOE with no difference in the rate compared to immediately post-CPOE. Conclusion Greater attention is required to address TREs to enhance the safety benefits of systems. [ABSTRACT FROM AUTHOR]

Objectives To compare medication errors identified at audit and via direct observation with medication errors reported to an incident reporting system at paediatric hospitals and to investigate differences in types and severity of errors detected and reported by staff. Methods This is a comparison study at two tertiary referral paediatric hospitals between 2016 and 2020 in Australia. Prescribing errors were identified from a medication chart audit of 7785 patient records. Medication administration errors were identified from a prospective direct observational study of 5137 medication administration doses to 1530 patients. Medication errors reported to the hospitals' incident reporting system were identified and matched with errors identified at audit and observation. Results Of 11 302 clinical prescribing errors identified at audit, 3.2 per 1000 errors (95% CI 2.3 to 4.4, n=36) had an incident report. Of 2224 potentially serious prescribing errors from audit, 26.1% (95% CI 24.3 to 27.9, n=580) were detected by staff and 11.2 per 1000 errors (95% CI 7.6 to 16.5, n=25) were reported to the incident system. Although the prescribing error detection rates varied between the two hospitals, there was no difference in incident reporting rates regardless of error severity. Of 40 errors associated with actual patient harm, only 7 (17.5%; 95% CI 8.7% to 31.9%) were detected by staff and 4 (10.0%; 95% CI 4.0% to 23.1%) had an incident report. None of the 2883 clinical medication administration errors observed, including 903 potentially serious errors and 144 errors associated with actual patient harm, had incident reports. Conclusion Incident reporting data do not provide an accurate reflection of medication errors and related harm to children in hospitals. Failure to detect medication errors is likely to be a significant contributor to low error reporting rates. In an era of electronic health records, new automated approaches to monitor medication safety should be pursued to provide real-time monitoring. [ABSTRACT FROM AUTHOR]

Background Many individuals with chronic obstructive pulmonary disease (COPD) experience frequent hospitalization and readmissions, which is burdensome on the health system. This study aims to investigate factors associated with unplanned readmissions and mortality following a COPD-related hospitalization over a 12-month period in Australia, focusing on mental disorders and accounting for the acute phase of the COVID-19 pandemic. Methods A retrospective cohort study using linked hospitalization and mortality records identified individuals aged ≥40 years who had at least one hospital admission with a principal diagnosis of COPD between 2014 and 2020 in New South Wales, Australia. A semi-competing risk analysis was conducted to examine factors associated with unplanned readmission and mortality. Results Adults with a mental disorder diagnosis, specifically anxiety, had a higher risk of 12-month unplanned readmission. Individuals with anxiety and dementia also had a higher risk of mortality pre- and post-unplanned readmission. Individuals who were admitted during the acute phase of the COVID-19 pandemic period had lower risk of unplanned readmission, but higher risk of mortality without unplanned readmission. Conclusion Interventions aimed at reducing admissions should consider adults living with mental disorders such as anxiety or dementia to improve healthcare delivery and health outcomes for individuals living with COPD. [ABSTRACT FROM AUTHOR]

Aims: The potential harm associated with medication errors is widely reported, but data on actual harm are limited. When actual harm has been measured, assessment processes are often poorly described, limiting their ability to be reproduced by other studies. Our aim was to design and implement a new process to assess actual harm resulting from medication errors in paediatric inpatient care. Methods: Prescribing errors were identified through retrospective medical record reviews (n = 26 369 orders) and medication administration errors through direct observation (n = 5137 administrations) in a tertiary paediatric hospital. All errors were assigned potential harm severity ratings on a 5‐point scale. Multidisciplinary panels reviewed case studies for patients assigned the highest three potential severity ratings and determined the following: actual harm occurrence and severity level, plausibility of a link between the error(s) and identified harm(s) and a confidence rating if no harm had occurred. Results: Multidisciplinary harm panels (n = 28) reviewed 566 case studies (173 prescribing related and 393 administration related) and found evidence of actual harm in 89 (prescribing = 22, administration = 67). Eight cases of serious harm cases were found (prescribing = 1, administration = 7) and no cases of severe harm. The panels were very confident in 65% of cases (n = 302) where no harm was found. Potential and actual harm ratings varied. Conclusions: This harm assessment process provides a systematic method for determining actual harm from medication errors. The multidisciplinary nature of the panels was critical in evaluating specific clinical, therapeutic and contextual considerations including care delivery pathways, therapeutic dose ranges and drug–drug and drug–disease interactions. [ABSTRACT FROM AUTHOR]

Aims: Reducing preventable hospitalization for congestive heart failure (CHF) patients is a challenge for health systems worldwide. CHF patients who also have a recent or ongoing mental disorder may have worse health outcomes compared with CHF patients with no mental disorders. This study examined the impact of mental disorders on 28 day unplanned readmissions of CHF patients. Methods and results: This retrospective cohort study used population‐level linked public and private hospitalization and death data of adults aged ≥18 years who had a CHF admission in New South Wales, Australia, between 1 January 2014 and 31 December 2020. Individuals' mental disorder diagnosis and Charlson comorbidity and hospital frailty index scores were derived from admission records. Competing risk and cause‐specific risk analyses were conducted to examine the impact of having a mental disorder diagnosis on all‐cause hospital readmission. Of the 65 861 adults with index CHF admission discharged alive (mean age: 78.6 ± 12.1; 48% female), 19.2% (12 675) had at least one unplanned readmission within 28 days following discharge. Adults with CHF with a mental disorder diagnosis within 12 months had a higher risk of 28 day all‐cause unplanned readmission [hazard ratio (HR): 1.21, 95% confidence interval (CI): 1.15–1.27, P‐value < 0.001], particularly those with anxiety disorder (HR: 1.49, 95% CI: 1.35–1.65, P‐value < 0.001). CHF patients aged ≥85 years (HR: 1.19, 95% CI: 1.11–1.28), having ≥3 other comorbidities (HR: 1.35, 95% CI: 1.25–1.46), and having an intermediate (HR: 1.34, 95% CI: 1.28–1.40) or high (HR: 1.37, 95% CI: 1.27–1.47) frailty score on admission had a higher risk of unplanned readmission. CHF patients with a mental disorder who have ≥3 other comorbidities and an intermediate frailty score had the highest probability of unplanned readmission (29.84%, 95% CI: 24.68–35.73%) after considering other patient‐level factors and competing events. Conclusions: CHF patients who had a mental disorder diagnosis in the past 12 months are more likely to be readmitted compared with those without a mental disorder diagnosis. CHF patients with frailty and a mental disorder have the highest probability of readmission. Addressing mental health care services in CHF patient's discharge plan could potentially assist reduce unplanned readmissions. [ABSTRACT FROM AUTHOR]

In the residential aged care sector medication management has been identified as a major area of concern contributing to poor outcomes and quality of life for residents. Monitoring medication management in residential aged care in Australia has been highly reliant on small, internal audits. The introduction of electronic medication administration systems provides new opportunities to establish improved methods for ongoing, timely and efficient monitoring of a range of medication indicators, made more meaningful by linking medication data with resident characteristics and outcomes. Benchmarking contemporary medication indicators provides a further opportunity for improvement and is most effective when indicator data are adjusted to take account of confounding factors, such as residents' characteristics and health conditions. Roundtables provide a structure for sharing and discussing indicator data in a trusted and supportive environment and encourage the identification of strategies which may be effective in improving medication management. This paper describes a new project to establish, implement and evaluate a National Aged Care Medication Roundtable. [ABSTRACT FROM AUTHOR]

Medication errors are a leading cause of preventable harm in hospitals. Electronic medication systems (EMS) have shown success in reducing the risk of prescribing errors, but considerable less evidence is available about whether these systems support a reduction in medication administration errors in paediatrics. Using a stepped wedge cluster randomized controlled trial we investigated changes in medication administration error rates following the introduction of an EMS in a paediatric referral hospital in Sydney, Australia. Direct observations of 284 nurses as they prepared and administered 4555 medication doses was undertaken and observational data compared against patient records to identify administration errors. We found no significant change in administration errors post EMS (adjusted Odds Ratio [aOR] 1.09; 95% CI 0.89-1.32) and no change in rates of potentially serious administration errors (aOR 1.18; 95%CI 0.9-1.56), or those resulting in actual harm (aOR 0.92; 95%CI 0.34-2.46). Errors in administration of medications by some routes increased post EMS. In the first 70 days of EMS use medication administration error rates were largely unchanged. [ABSTRACT FROM AUTHOR]

Background: Young people with a mental disorder often perform poorly at school and can fail to complete high school. This study aims to compare scholastic performance and high school completion of young people hospitalised with a mental disorder compared to young people not hospitalised for a mental disorder health condition by gender. Method: A population-based matched case-comparison cohort study of young people aged ⩽18 years hospitalised for a mental disorder during 2005–2018 in New South Wales, Australia using linked birth, health, education and mortality records. The comparison cohort was matched on age, gender and residential postcode. Generalised linear mixed modelling examined risk of school performance below the national minimum standard and generalised linear regression examined risk of not completing high school for young people with a mental disorder compared to matched peers. Results: Young males with a mental disorder had over a 1.7 times higher risk of not achieving the national minimum standard for numeracy (adjusted relative risk: 1.71; 95% confidence interval: [1.35, 2.15]) and reading (adjusted relative risk: 1.99; 95% confidence interval: [1.80, 2.20]) compared to matched peers. Young females with a mental disorder had around 1.5 times higher risk of not achieving the national minimum standard for numeracy (adjusted relative risk: 1.50; 95% confidence interval: [1.14, 1.96]) compared to matched peers. Both young males and females with a disorder had around a three times higher risk of not completing high school compared to peers. Young males with multiple disorders had up to a sixfold increased risk and young females with multiple disorders had up to an eightfold increased risk of not completing high school compared to peers. Conclusion: Early recognition and support could improve school performance and educational outcomes for young people who were hospitalised with a mental disorder. This support should be provided in conjunction with access to mental health services and school involvement and assistance. [ABSTRACT FROM AUTHOR]

Background and Objective: The impact of type 1 diabetes mellitus (T1D) on academic performance is inconclusive. This study aims to compare scholastic performance and high‐school completion in young people hospitalized with T1D compared to matched peers not hospitalized with diabetes. Research Design: Retrospective case‐comparison cohort study. Method: A population‐level matched case‐comparison study of people aged ≤18 hospitalized with T1D during 2005–2018 in New South Wales, Australia using linked health‐related and education records. The comparison cohort was matched on age, gender, and residential postcode. Generalized linear mixed modeling examined risk of school performance below the national minimum standard (NMS) and generalized linear regression examined risk of not completing high school for young people hospitalized with T1D compared to peers. Adjusted relative risks (ARR) were calculated. Results: Young females and males hospitalized with T1D did not have a higher risk of not achieving the NMS compared to peers for numeracy (ARR: 1.19; 95%CI 0.77–1.84 and ARR: 0.74; 95%CI 0.46–1.19) or reading (ARR: 0.98; 95%CI 0.63–1.50 and ARR: 0.85; 95%CI 0.58–1.24), respectively. Young T1D hospitalized females had a higher risk of not completing year 11 (ARR: 1.73; 95%CI 1.19–2.53) or 12 (ARR: 1.65; 95%CI 1.17–2.33) compared to peers, while hospitalized T1D males did not. Conclusions: There was no difference in academic performance in youth hospitalized with T1D compared to peers. Improved glucose control and T1D management may explain the absence of school performance decrements in students with T1D. However, females hospitalized with T1D had a higher risk of not completing high school. Potential associations of this increased risk, with attention to T1D and psycho‐social management, should be investigated. [ABSTRACT FROM AUTHOR]

Background: There is inconclusive evidence of the effect of asthma on the academic performance of young people. This study aims to compare scholastic performance and high school completion of young people hospitalized with asthma compared to matched peers not hospitalized with asthma. Method: A population‐based matched case‐comparison cohort study of young people aged ≤18 years hospitalized for asthma during 2005–2018 in New South Wales, Australia using linked birth, health, education and mortality records. The comparison cohort was matched on age, gender and residential postcode. Generalized linear mixed‐modelling examined risk of school performance below the national minimum standard (NMS) and generalized linear regression examined risk of not completing high school for young people hospitalized with asthma compared to matched peers. Results: Young males hospitalized with asthma had a 13% and 15% higher risk of not achieving the NMS for numeracy (95%CI 1.04–1.22) and reading (95%CI 1.07–1.23), respectively, compared to peers. Young males hospitalized with asthma had a 51% (95%CI 1.22–1.86) higher risk of not completing year 10, and around a 20% higher risk of not completing year 11 (ARR: 1.25; 95%CI 1.15–1.36) or year 12 (ARR: 1.27; 95%CI 1.17–1.39) compared to peers. Young females hospitalized with asthma showed no difference in achieving numeracy or reading NMSs, but did have a 21% higher risk of not completing year 11 (95%CI 1.09–1.36) and a 33% higher risk of not completing year 12 (95%CI 1.19–1.49) compared to peers. Conclusions: Educational attainment is worse for young people hospitalized with asthma compared to matched peers. Early intervention and strategies for better management of asthma symptoms may enhance academic performance for students. [ABSTRACT FROM AUTHOR]