BackgroundThere is a need for greater understanding of the epidemiology of primary care patient safety in order to generate solutions to prevent future harm.AimTo estimate the rate of failures in processing actions requested in hospital discharge summaries, and to determine factors associated with these failures.Design and settingThe authors undertook a retrospective records review. The study population was emergency admissions for patients aged ≥75 years, drawn from 10 practices in three areas of England.MethodOne GP researcher reviewed the records for 300 patients after hospital discharge to determine the rate of compliance with actions requested in the discharge summary, and to estimate the rate of associated harm from non-compliance. In cases where GPs documented decision-making contrary to what was requested, these instances did not constitute failures. Data were also collected on time taken to process discharge communications.ResultsThere were failures in processing actions requested in 46% (112/246) of discharge summaries (95% confidence interval [CI] = 39 to 52%). Medications changes were not made in 17% (124/750) of requests (95% CI = 14 to 19%). Tests were not completed for 26% of requests (95% CI = 16 to 35%), and 27% of requested follow-ups were not arranged (95% CI = 20 to 33%). The harm rate associated with these failures was 8%. Increased risk of failure to process test requests was significantly associated with the type of clinical IT system, and male patients.ConclusionFailures occurred in the processing of requested actions in almost half of all discharge summaries, and with all types of action requested. Associated harms were uncommon and most were of moderate severity.
Many control programmes against neglected tropical diseases have been interrupted due to the coronavirus disease 2019 (COVID-19) pandemic, including those that rely on active case finding. In this study we focus on gambiense human African trypanosomiasis (gHAT), where active screening was suspended in the Democratic Republic of Congo (DRC) due to the pandemic. We use two independent mathematical models to predict the impact of COVID-19 interruptions on transmission and reporting and achievement of the 2030 elimination of transmission (EOT) goal for gHAT in two moderate-risk regions of the DRC. We consider different interruption scenarios, including reduced passive surveillance in fixed health facilities, and whether this suspension lasts until the end of 2020 or 2021. Our models predict an increase in the number of new infections in the interruption period only if both active screening and passive surveillance were suspended, and with a slowed reduction—but no increase—if passive surveillance remains fully functional. In all scenarios, the EOT may be slightly pushed back if no mitigation, such as increased screening coverage, is put in place. However, we emphasise that the biggest challenge will remain in the higher-prevalence regions where EOT is already predicted to be behind schedule without interruptions unless interventions are bolstered.
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