BMJ Quality & Safety最新文献

Background: Drug-drug interaction (DDI) alerts target the co-prescription of two potentially interacting medications and are a frequent feature of electronic medical records (EMRs). There have been few controlled studies evaluating the effectiveness of DDI alerts. This study aimed to determine the impact of DDI alerts on rates of DDIs and on associated patient harms.

Methods: Quasi-experimental controlled pre-post study in five Australian hospitals. Three hospitals acted as control hospitals (EMR with no DDI alerts) and two as intervention (EMR with DDI alerts). Only DDI alerts at the highest severity level (defined as 'major contraindicated') were switched on at intervention hospitals. These alerts were not tailored to clinical context (ie, patient, drug). A total of 2078 patients were randomly selected from all patients (adult and paediatric) admitted to hospitals 6 months before and 6 months after EMR implementation. A retrospective chart review was performed by study pharmacists. The primary outcome was the proportion of admissions with a clinically relevant DDI. Secondary outcomes included the proportions of admissions with a potential DDI and with DDI-related harm.

Results: Potential DDIs were identified in the majority of admissions (n=1574, 74.7%) and clinically relevant DDIs identified in half (n=1026, 48.7%). DDI alerts were associated with a reduction in the proportion of admissions with potential DDIs (adjusted OR (AOR)=0.38 (0.19, 0.78)) but no change in clinically relevant DDIs (AOR=1.12 (0.68, 1.84)) or in DDI-related harm (AOR=2.42 (0.47,12.31)). 199 DDIs (76 at control and 123 at intervention hospitals) for 35 patient admissions were associated with patient harm, and 2 patients experienced severe DDI-related harm pre-EMR implementation.

Discussion: Implementation of DDI alerts, without tailoring alerts to clinical context, is unlikely to reduce patient harms from DDIs. Organisations should reconsider implementation of DDI alerts in EMRs where significant tailoring of alerts is not possible. Future research should focus on identifying safe, efficient and cost-effective ways of refining DDI alerts, so expected clinical benefits are achieved, and negative consequences of excessive alerting are minimised.

Background: Medication errors are the leading cause of preventable harm in healthcare. Despite proliferation of medication-related clinical decision support systems (CDSS), current systems have limitations. We therefore developed an indication-based prescribing tool. This performs dose calculations using an underlying formulary and provides patient-specific dosing recommendations. Objectives were to compare the incidence and types of erroneous medication orders, time to prescribe (TTP) and perceived workload using the NASA Task Load Index (TLX), in simulated prescribing tasks with and without this intervention. We also sought to identify the workflow steps most vulnerable to error and to gain participant feedback.

Methods: A simulated, randomised, cross-over exploratory study was conducted at a London NHS Trust. Participants completed five simulated prescribing tasks with, and five without, the intervention. Data collection methods comprised direct observation of prescribing tasks, self-reported task load and semistructured interviews. A concurrent triangulation design combined quantitative and qualitative data.

Results: 24 participants completed a total of 240 medication orders. The intervention was associated with fewer prescribing errors (6.6% of 120 orders) compared with standard practice (28.3% of 120 orders; odds ratio 0.18, p<0.01), a shorter TTP and lower overall NASA-TLX scores (p<0.01). Control arm workflow vulnerabilities included failures in identifying correct doses, applying maximum dose limits and calculating patient-specific dosages. Intervention arm errors primarily stemmed from misidentifying patient-specific information from the medication scenario. Thematic analysis of participant interviews identified six themes: navigating trust and familiarity, addressing challenges and suggestions for improvement, integration of local guidelines and existing CDSS, intervention endorsement, 'search by indication' and targeting specific patient and staff groups.

Conclusion: The intervention represents a promising advancement in medication safety, with implications for enhancing patient safety and efficiency. Further real-world evaluation and development of the system to meet the needs of more diverse patient groups, users and healthcare settings is now required.

Trial registration number: NCT05493072.

Background: Pulmonary embolism (PE) is a potentially deadly disease and a diagnostic challenge in emergency departments (EDs). Established strategies exist for risk stratification and test stewardship for CT pulmonary angiography (CTPA). However, implementation of best practices has proven challenging, and rising CTPA utilisation increases costs, radiation exposure and ED crowding. We created a multimodal quality intervention to reduce excess CTPA studies and increase the use of d-dimer assays prior to CTPA. Balance measures included the rate of positive CTPA studies and ED returns within 72 hours of discharge.

Methods: This was an observational, pre-post interventional design at three EDs. The intervention included an institutional PE diagnostic guideline, educational sessions, an electronic clinical decision support tool and monthly feedback to individual providers. Consecutive patient data were analysed 1 year pre and 1 year post an intervention on 21 November 2021. Analyses used Pearson χ², logistic regression generalised linear models and XmR statistical process control (SPC).

Results: The study included 307 441 patient encounters, with 35 066 PE evaluations. CTPA utilisation decreased from 6.0% to 5.1% (p<0.01) of all patient encounters, and d-dimer use preceding CTPA increased from 36.6% to 56.3% (p<0.01). For both primary measures, SPC charts showed statistically significant special cause variation compared with the pre-intervention data. There was no significant change in the rate of positive CTPA studies (9.3% vs 10.4%, p=0.14) or 72-hour ED returns (3.0 vs 3.1%, p=0.6).

Conclusions: A multimodal intervention was associated with reduced CTPA utilisation and increased use of d-dimer as the initial test in PE diagnosis, without any negative associated impact on balance measures. This strategy could be reproduced and implemented at other institutions looking to change practice.

Background: Given the emphasis on promoting inclusive policies, we investigated the relationship between US hospitals' inclusion efforts for lesbian, gay, bisexual, transgender, queer or questioning, and other sexual and gender-diverse (LGBTQ+) populations and patient satisfaction from 2016 to 2023.

Methods: This retrospective longitudinal observational study analysed 6 years of data between 2016 and 2023 from the Healthcare Equality Index (HEI), which measures hospitals' LGBTQ+ inclusion efforts, and the Hospital Consumer Assessment of Healthcare Providers and Systems, which measures patient satisfaction. Generalised estimating equations (GEE) were used to obtain population-averaged estimates of the association between hospitals' LGBTQ+ inclusion efforts-assessed by (1) their participation and (2) performance in the HEI (range: 0-100)-and patient satisfaction-measured by (1) patients' hospital rating (range: 0-100) and (2) willingness to recommend the hospital (range: 0-100). We accounted for hospital characteristics, including medical teaching status, specialised service capability, hospital size, ownership, system membership, region and metropolitan location.

Results: Compared with hospitals that never participated in the HEI, those that occasionally participated reported a 0.33-point higher patient rating (p=0.019, 95% CI 0.05, 0.60) and a 0.49-point higher patient recommendation score (p=0.011, 95% CI 0.11, 0.87). Those who always participated reported a 1.30-point higher rating (p<0.001, 95% CI 0.89, 1.70) and a 1.90-point higher recommendation score (p<0.001, 95% CI 1.36, 2.44). Among hospitals that participated in the HEI, a 10-point increase in the total HEI score was associated with a 0.10-point increase in patient ratings (p=0.031, 95% CI 0.01, 0.20) and a 0.15-point increase in patient recommendations (p=0.023, 95% CI 0.02, 0.28).

Conclusion: Hospitals engaging in LGBTQ+ inclusion efforts are associated with higher patient satisfaction.