Child Age and Risk of Medication Error: A Multisite Children's Hospital Study.

OBJECTIVE: The objective of this study was to examine associations between patient age and medication errors among pediatric inpatients. STUDY DESIGN: Secondary analysis of data sets generated from 2 tertiary pediatric hospitals: (1) prescribing errors identified from chart reviews for patients on 9 general wards at hospital A during April 22 to July 10, 2016, June 20 to September 20, 2017, and June 20 to September 30, 2020; prescribing errors from 5 wards at hospital B in the same periods and (2) medication administration errors assessed by direct prospective observation of 5137 administrations on 9 wards at hospital A. Multilevel models examined the association between patient age and medication errors. Age was modeled using restricted cubic splines to allow for nonlinearity. RESULTS: Prescribing errors increased nonlinearly with patient age (P = .01), showing little association from ages 0 to 3 years and then increasing with age until around 10 years and remaining constant through the teenage years. Administration errors increased with patient age, with no association from 0 to around 8 years and then a steady rise with increasing age (P = .03). The association differed by route: linear for oral, no association for intravenous infusions, and U-shaped for intravenous injections. CONCLUSIONS: Older age is an unrecognized risk factor for medication error on general wards in pediatric hospitals. Contributors to risk may be the clinical profiles of these older children or the general level of attention paid to medication practices for this group. Further investigation may allow the design of more targeted interventions to reduce errors.

Developing a process to measure actual harm from medication errors in paediatric inpatients: From design to implementation.

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.

Factors affecting 12-month unplanned readmissions for chronic obstructive pulmonary disease patients: the effect of mental disorders in an Australian cohort.

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.

Evaluation of a culture change program to reduce unprofessional behaviours by hospital co-workers in Australian hospitals.

BACKGROUND: Unprofessional behaviours between healthcare workers are highly prevalent. Evaluations of large-scale culture change programs are rare resulting in limited evidence of intervention effectiveness. We conducted a multi-method evaluation of a professional accountability and culture change program "Ethos" implemented across eight Australian hospitals. The Ethos program incorporates training for staff in speaking-up; an online system for reporting co-worker behaviours; and a tiered accountability pathway, including peer-messengers who deliver feedback to staff for 'reflection' or 'recognition'. Here we report the final evaluation component which aimed to measure changes in the prevalence of unprofessional behaviours before and after Ethos. METHODS: A survey of staff (clinical and non-clinical) experiences of 26 unprofessional behaviours across five hospitals at baseline before (2018) and 2.5-3 years after (2021/2022) Ethos implementation. Five of the 26 behaviours were classified as 'extreme' (e.g., assault) and 21 as incivility/bullying (e.g., being spoken to rudely). Our analysis assessed changes in four dimensions: work-related bullying; person-related bullying; physical bullying and sexual harassment. Change in experience of incivility/bullying was compared using multivariable ordinal logistic regression. Change in extreme behaviours was assessed using multivariable binary logistic regression. All models were adjusted for respondent characteristics. RESULTS: In total, 3975 surveys were completed. Staff reporting frequent incivility/bullying significantly declined from 41.7% (n = 1064; 95% CI 39.7,43.9) at baseline to 35.5% (n = 505; 95% CI 32.8,38.3; χ2(1) = 14.3; P < 0.001) post-Ethos. The odds of experiencing incivility/bullying declined by 24% (adjusted odds ratio [aOR] 0.76; 95% CI 0.66,0.87; P < 0.001) and odds of experiencing extreme behaviours by 32% (aOR 0.68; 95% CI 0.54,0.85; P < 0.001) following Ethos. All four dimensions showed a reduction of 32-41% in prevalence post-Ethos. Non-clinical staff reported the greatest decrease in their experience of unprofessional behaviour (aOR 0.41; 95% CI 0.29, 0.61). Staff attitudes and reported skills to speak-up were significantly more positive at follow-up. Awareness of the program was high (82.1%; 95% CI 80.0, 84.0%); 33% of respondents had sent or received an Ethos message. CONCLUSION: The Ethos program was associated with significant reductions in the prevalence of reported unprofessional behaviours and improved capacity of hospital staff to speak-up. These results add to evidence that staff will actively engage with a system that supports informal feedback to co-workers about their behaviours and is facilitated by trained peer messengers.

The impact of childhood asthma on academic performance: A matched population-based cohort study.

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.

The impact of type 1 diabetes mellitus in childhood on academic performance: A matched population-based cohort study.

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.

Mental disorders and their impact on school performance and high school completion by gender in Australia: A matched population-based cohort study.

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.

The impact of childhood injury and injury severity on school performance and high school completion in Australia: a matched population-based retrospective cohort study.

BACKGROUND: Exploring the impact of injury and injury severity on academic outcomes could assist to identify characteristics of young people likely to require learning support services. This study aims to compare scholastic performance and high school completion of young people hospitalised for an injury compared to young people not hospitalised for an injury by injury severity; and to examine factors influencing scholastic performance and school completion. METHOD: A population-based matched case-comparison cohort study of young people aged ≤18 years hospitalised for an injury 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 performance below the national minimum standard (NMS) on the National Assessment Plan for Literacy and Numeracy (NAPLAN) and generalised linear regression examined risk of not completing high school for injured young people compared to matched peers. RESULTS: Injured young people had a higher risk of not achieving the NMS compared to their matched peers for numeracy (ARR: 1.12; 95%CI 1.06-1.17), reading (ARR: 1.09; 95%CI 1.04-1.13), spelling (ARR: 1.13; 95%CI 1.09-1.18), grammar (ARR: 1.11; 95%CI 1.06-1.15), and writing (ARR: 1.07; 95%CI 1.04-1.11). As injury severity increased from minor to serious, the risk of not achieving the NMS generally increased for injured young people compared to matched peers. Injured young people had almost twice the risk of not completing high school at year 10 (ARR: 2.17; 95%CI 1.73-2.72), year 11 (ARR: 1.95; 95%CI 1.78-2.14) or year 12 (ARR: 1.93; 95%CI 1.78-2.08) compared to matched peers. CONCLUSIONS: The identification of characteristics of young people most likely to encounter problems in the academic environment after sustaining an injury is important to facilitate the potential need for learning support. Assessing learning needs and monitoring return-to-school progress post-injury may aid identification of any ongoing learning support requirements.

Hospital characteristics associated with low-value care in public hospitals in New South Wales, Australia.

BACKGROUND: Rates of low-value care vary between hospitals in New South Wales, Australia. Understanding factors associated with this variation will help in understanding the drivers of low-value care and in planning initiatives to reduce low-value care. METHODS: For eight low-value procedures, we used Poisson regression of the number of low-value episodes at each hospital to assess the association between low-value care and hospital characteristics. We also used hierarchical clustering on the low-value procedures used and their rates at each hospital to try to identify groups of hospitals with higher or lower rates of low-value care across multiple procedures. RESULTS: Some hospital characteristics, such as hospital peer group and proportion of total episodes that involve the specific procedure, showed associations for some procedures, but none were consistent across all eight procedures. We clustered hospitals into five groups, but low-value care rates did not differ much between these groups. CONCLUSION: Available hospital variables show little association with rates of low-value care and no patterns across different low-value procedures. We need to investigate factors within hospitals, such as clinician knowledge and beliefs about low-value care.

Exploring variation in low-value care: a multilevel modelling study.

BACKGROUND: Whether patients receive low-value hospital care (care that is not expected to provide a net benefit) may be influenced by unmeasured factors at the hospital they attend or the hospital's Local Health District (LHD), or the patients' areas of residence. Multilevel modelling presents a method to examine the effects of these different levels simultaneously and assess their relative importance to the outcome. Knowing which of these levels has the greatest contextual effects can help target further investigation or initiatives to reduce low-value care. METHODS: We conducted multilevel logistic regression modelling for nine low-value hospital procedures. We fit a series of six models for each procedure. The baseline model included only episode-level variables with no multilevel structure. We then added each level (hospital, LHD, Statistical Local Area [SLA] of residence) separately and used the change in the c statistic from the baseline model as a measure of the contribution of the level to the outcome. We then examined the variance partition coefficients (VPCs) and median odds ratios for a model including all three levels. Finally, we added level-specific covariates to examine if they were associated with the outcome. RESULTS: Analysis of the c statistics showed that hospital was more important than LHD or SLA in explaining whether patients receive low-value care. The greatest increases were 0.16 for endoscopy for dyspepsia, 0.13 for colonoscopy for constipation, and 0.14 for sentinel lymph node biopsy for early melanoma. SLA gave a small increase in c compared with the baseline model, but no increase over the model with hospital. The VPCs indicated that hospital accounted for most of the variation not explained by the episode-level variables, reaching 36.8% (95% CI, 31.9-39.0) for knee arthroscopy. ERCP (8.5%; 95% CI, 3.9-14.7) and EVAR (7.8%; 95% CI, 2.9-15.8) had the lowest residual variation at the hospital level. The variables at the hospital, LHD and SLA levels that were available for this study generally showed no significant effect. CONCLUSIONS: Investigations into the causes of low-value care and initiatives to reduce low-value care might best be targeted at the hospital level, as the high variation at this level suggests the greatest potential to reduce low-value care.

Validation of MRI and Surgical Decision Making to Predict a Complete Resection in Pelvic Exenteration for Recurrent Rectal Cancer.

BACKGROUND: The main predictor of long-term survival in patients with recurrent rectal cancer is surgical resection with a clear resection margin. MRI plays a role in patient selection and surgical planning. OBJECTIVE: This study aimed to validate MRI in determining pelvic involvement by comparing MRI to histological outcomes, to assess the effect of MRI on surgical planning by comparing MRI findings with the surgical procedure, and to compare MRI anatomical involvement with resection outcome to assess if MRI can predict a clear resection margin. DESIGN: Retrospective study reviewing prepelvic exenteration MRI and correlating organ, involving an MRI with pathological involvement and surgical outcomes. SETTINGS: Single quaternary referral center with a special interest in pelvic exenteration. PATIENTS: The patients included 40 men and 22 women with median age of 60 years who had locally recurrent rectal cancer. MAIN OUTCOME MEASURES: The accuracy of MRI as measured using sensitivity and specificity by correlating MRI involvement with pathological involvement was the primary outcome measured. RESULTS: Recurrence in the anterior and central compartments was identified with accuracy on MRI and was likely to be associated with clear resection margins. MRI was less accurate at determining pelvic sidewall involvement. Lateral recurrence, high sacral, and nerve involvement were more likely to be associated with a positive resection margin. Sensitivity and specificity for pelvic sidewall structures was 46% and 91%. Involvement of nerve roots (60%-69%) and the upper sacrum (80%) on MRI was more likely to predict a positive resection margin than involvement of major pelvic viscera (22%). LIMITATIONS: This study was limited by its retrospective nature. CONCLUSIONS: MRI findings can be used to help predict resection margin. Prospective work with MRI interpretation and close correlation and involvement by pathologists is needed to address imaging and surgical limitations at the pelvic sidewall and high posterior margin.

Palliative Pelvic Exenteration: Clinical Outcomes and Quality of Life.

BACKGROUND: Locally advanced pelvic malignancy can be associated with disabling symptoms and reduced quality of life. If resectable with clear margins, a pelvic exenteration can offer long-term survival and improved quality of life. Its role in the palliation of symptoms has been described; however, the clinical outcomes and surgical indication are poorly defined. OBJECTIVE: This study describes the clinical and quality-of-life outcomes after palliative pelvic exenteration for advanced pelvic malignancy. DESIGN: Clinical data and patient-reported outcomes were collected for patients undergoing pelvic exenteration for symptom palliation. SETTINGS: This study was conducted at a tertiary referral center for pelvic exenteration. PATIENTS: All of the patients undergoing palliative pelvic exenteration for advanced primary rectal or recurrent cancer were included in our analysis. MAIN OUTCOME MEASURES: Patient-reported quality of life and physical and mental health status were measured. Quality-of-life trajectories were modeled over the 12 months from the date of surgery using linear mixed models. RESULTS: A total of 39 patients underwent pelvic exenteration for symptom palliation. Although there were no in-hospital deaths, 34% experienced significant morbidity. Patient-reported quality of life reduced postoperatively and gradually declined thereafter. Overall median survival was 24 months, with a 1-year mortality rate of 31%. There was a significant survival difference for the 39 patients undergoing pelvic exenteration compared with those patients who only had a debulking/bypass procedure or were closed without definitive treatment (overall median survival = 24 versus 9 months; p = <0.02). LIMITATIONS: Disease and patient heterogeneity limit the interpretation of these results. CONCLUSIONS: Palliative pelvic exenteration is a technically demanding operation that can be performed safely in a dedicated exenteration center. However, no durable palliation of symptoms with associated improved or sustained quality of life was observed, and the role of palliation therefore remains highly controversial in this complex group of patients.

Improving psychosocial outcomes for caregivers of people with poor prognosis gastrointestinal cancers: a randomized controlled trial (Family Connect).

PURPOSE: This study investigated the effectiveness of a structured telephone intervention for caregivers of people diagnosed with poor prognosis gastrointestinal cancer to improve psychosocial outcomes for both caregivers and patients. METHODS: Caregivers of patients starting treatment for upper gastrointestinal or Dukes D colorectal cancer were randomly assigned (1:1) to the Family Connect telephone intervention or usual care. Caregivers in the intervention group received four standardized telephone calls in the 10 weeks following patient hospital discharge. Caregivers' quality of life (QOL), caregiver burden, unmet supportive care needs and distress were assessed at 3 and 6 months. Patients' QOL, unmet supportive care needs, distress and health service utilization were also assessed at these time points. RESULTS: Caregivers (128) were randomized to intervention or usual care groups. At 3 months, caregiver QOL scores and other caregiver-reported outcomes were similar in both groups. Intervention group participants experienced a greater sense of social support (p = .049) and reduced worry about finances (p = .014). Patients whose caregiver was randomized to the intervention also had fewer emergency department presentations and unplanned hospital readmissions at 3 months post-discharge (total 17 vs. 5, p = .01). CONCLUSIONS: This standardized intervention did not demonstrate any significant improvements in caregiver well-being but did result in a decrease in patient emergency department presentations and unplanned hospital readmissions in the immediate post-discharge period. The trend towards improvements in a number of caregiver outcomes and the improvement in health service utilization support further development of telephone-based caregiver-focused supportive care interventions.

Survival of Australian lung cancer patients and the impact of distance from and attendance at a thoracic specialist centre: a data linkage study.

BACKGROUND: Lung cancer patients have better survival when treated in thoracic surgical (specialist) centres. AIMS: To determine whether outcome of non-small cell lung cancer (NSCLC) patients is poorer with increasing distance to the nearest accessible specialist hospital (NASH). METHODS: We linked cancer registry, hospital and death records of 23,871 NSCLC patients; 3240 localised, 2435 regional and 3540 distant stage patients hospitalised within 12 months of diagnosis were analysed. Distance from patients' residences to the NASH was measured using geographical coordinates. Cox proportional hazards models examined predictors of NSCLC death. RESULTS: Having a resection of the cancer, which admission to a specialist hospital made more likely, substantially reduced hazard of NSCLC death. Distance influenced hazard of death through both these variables; a patient was less likely to be admitted to a specialist hospital than a general hospital and less likely to have a resection the further they lived from the NASH. However, patients who lived distant from the NASH and were admitted to a specialist hospital were more likely to have a resection and less likely to die from NSCLC than patients admitted to a specialist hospital and living closer to the NASH. These patterns varied little with lung cancer stage. CONCLUSIONS: NSCLC outcome is best when patients are treated in a specialist hospital. Greater distance to the NASH can affect its outcome by reducing the likelihood of being treated in a specialist hospital. Research is needed into patient and health service barriers to referral of NSCLC patients for specialist care.

Assessing measures of comorbidity and functional status for risk adjustment to compare hospital performance for colorectal cancer surgery: a retrospective data-linkage study.

BACKGROUND: Comparing outcomes between hospitals requires consideration of patient factors that could account for any observed differences. Adjusting for comorbid conditions is common when studying outcomes following cancer surgery, and a commonly used measure is the Charlson comorbidity index. Other measures of patient health include the ECOG performance status and the ASA physical status score. This study aimed to ascertain how frequently ECOG and ASA scores are recorded in population-based administrative data collections in New South Wales, Australia and to assess the contribution each makes in addition to the Charlson comorbidity index in risk adjustment models for comparative assessment of colorectal cancer surgery outcomes between hospitals. METHODS: We used linked administrative data to identify 6964 patients receiving surgery for colorectal cancer in 2007 and 2008. We summarised the frequency of missing data for Charlson comorbidity index, ECOG and ASA scores, and compared patient characteristics between those with and without these measures. The performance of ASA and ECOG in risk adjustment models that also included Charlson index was assessed for three binary outcomes: 12-month mortality, extended length of stay and 28-day readmission. Patient outcomes were compared between hospital peer groups using multilevel logistic regression analysis. RESULTS: The Charlson comorbidity index could be derived for all patients, ASA score was recorded for 78 % of patients and ECOG performance status recorded for only 24 % of eligible patients. Including ASA or ECOG improved the predictive ability of models, but there was no consistently best combination. The addition of ASA or ECOG did not substantially change parameter estimates for hospital peer group after adjusting for Charlson comorbidity index. CONCLUSIONS: While predictive ability of regression models is maximised by inclusion of one or both of ASA score and ECOG performance status, there is little to be gained by adding ASA or ECOG to models containing the Charlson comorbidity index to address confounding. The Charlson comorbidity index has good performance and is an appropriate measure to use in risk adjustment to compare outcomes between hospitals.

The Economics of Medication Safety: A Cost-Benefits Analysis Framework for Evaluating an Electronic Medication System.

Medication prescribing in paediatrics is complex and compounded by the need to provide age and weight related doses, and errors continue to be problematic. Electronic medication systems (EMS) can reduce errors through dosing calculators and computerised decision support. However, evidence on costs and benefits of these systems is limited, particularly in paediatric hospitals. This paper presents the development of a cost-benefit analysis (CBA) framework to assess the impact of an EMS implementation in a paediatric tertiary hospital. An innovative component of the framework is the incorporation of the impact of the effects of the EMS for both the health system as well as for patients and their wider family networks, allowing a net social benefit assessment. We describe the impact of non-clinical out-of-pocket costs of admission and use discrete choice experiments to measure both medication related harm and the importance of medication safety to families and members of the community.

Stepped-Wedge Cluster RCT to Assess the Effects of an Electronic Medication System on Medication Administration Errors.

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.

Impact of mental disorders on unplanned readmissions for congestive heart failure patients: a population-level study.

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.

Risk Factors Associated with Medication Administration Errors in Children: A Prospective Direct Observational Study of Paediatric Inpatients.

INTRODUCTION: Limited evidence exists regarding medication administration errors (MAEs) on general paediatric wards or associated risk factors exists. OBJECTIVE: The aim of this study was to identify nurse, medication, and work-environment factors associated with MAEs among paediatric inpatients. METHODS: This was a prospective, direct observational study of 298 nurses in a paediatric referral hospital in Sydney, Australia. Trained observers recorded details of 5137 doses prepared and administered to 1530 children between 07:00 h and 22:00 h on weekdays and weekends. Observation data were compared with medication charts to identify errors. Clinical errors, potential severity and actual harm were assessed. Nurse characteristics (e.g. age, sex, experience), medication type (route, high-risk medications, use of solvent/diluent), and work variables (e.g. time of administration, weekday/weekend, use of an electronic medication management system [eMM], presence of a parent/carer) were collected. Multivariable models assessed MAE risk factors for any error, errors by route, potentially serious errors, and errors involving high-risk medication or causing actual harm. RESULTS: Errors occurred in 37.0% (n = 1899; 95% confidence interval [CI] 35.7-38.3) of administrations, 25.8% (n = 489; 95% CI 23.8-27.9) of which were rated as potentially serious. Intravenous infusions and injections had high error rates (64.7% [n = 514], 95% CI 61.3-68.0; and 77.4% [n = 188], 95% CI 71.7-82.2, respectively). For intravenous injections, 59.7% (95% CI 53.4-65.6) had potentially serious errors. No nurse characteristics were associated with MAEs. Intravenous route, early morning and weekend administrations, patient age ≥ 11 years, oral medications requiring solvents/diluents and eMM use were all significant risk factors. MAEs causing actual harm were 45% lower using an eMM compared with paper charts. CONCLUSION: Medication error prevention strategies should target intravenous administrations and not neglect older children in hospital. Attention to nurses' work environments, including improved design and integration of medication technologies, is warranted.

Paediatric medication incident reporting: a multicentre comparison study of medication errors identified at audit, detected by staff and reported to an incident system.

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.