Journal of evaluation in clinical practice
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Observational Study
GheOP3 S tool and START/STOPP criteria version 2 for screening of potentially inappropriate medications and omissions in nursing home residents.
There is limited information about the comparative effectiveness of the START/STOPP (Screening Tool of Older Person's Prescriptions/Screening Tool to Alert doctors to Right Treatment) criteria and the Ghent Older People's Prescriptions community Pharmacy Screening tool (GheOP3 S tool) for the screening of potentially inappropriate prescribing (PIP) in the geriatric population. Considering this, the aim of this study was to compare the ability of the START/STOPP criteria and GheOP3 S tool to identify the PIP and potential prescribing omissions (PPOs) among elderly patients visiting their primary care physician. ⋯ The results of this study indicate that both tested tools demonstrated efficiency to detect PIPs and PPOs. The GheOP3 S tool detected significantly more PIPs than did the STOPP criteria. On the other hand, the START criteria performed much better for the screening of PPOs.
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The main leading cause of the upper respiratory tract infections (URTIs) is viral infection. However, parental attitudes often lead to inappropriate prescription of antibiotics contributing to development of antibiotic resistance. The aim of this study is to assess parental knowledge, attitude, and practice (KAP) towards the use of antibiotics in Dubai and to reveal the associated factors. ⋯ The study has identified key factors associated with misuse of URTI antibiotics and highlights the importance of targeting those groups with intervention programs and campaigns to increase awareness and decrease misconception of antibiotic use.
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This study investigates the effects of nurses' views regarding electronic medical records on patient safety culture. ⋯ It is recommended that further studies be conducted on topics such as the use of medical records and the development of patient safety. Health care managers should encourage nurses to undergo training and educational efforts on electronic medical records and patient safety.
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Venous thromboembolism (VTE) is a fatal complication and the most common preventable cause of death in hospitals. The risk-to-benefit ratio of thromboprophylaxis depends on the performance of the risk assessment model. A linear model, the Padua model, is recommended for medical inpatients in the United States but is not suitable for Chinese inpatients due to differences in race and disease spectrum. Currently, machine learning (ML) methods show advantages in modeling complex data patterns and have been applied to clinical data analysis. This study aimed to build VTE risk assessment ML models among Chinese inpatients and compare the predictive validity of the ML models with that of the Padua model. ⋯ Advances in ML technology provide powerful tools for medical data analysis, and choosing models conforming to the disease pattern would achieve good performance. Popular ML models do not surpass the Padua model on all indicators of validity, and the drawback of low sensitivity should be improved upon in the future.
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We previously demonstrated that annual review %FEV1 underestimates lung health of adults with CF compared with %FEV1 captured during periods of clinical stability. This has implications in the comparisons against registries with encounter-based FEV1 , such as the United States. It is uncertain whether this bias affects between-centre comparison within the United Kingdom. Previous funnel plot analyses have identified variation in annual review %FEV1 according to centre size; hence, we investigated whether paired differences between annual review and best %FEV1 also vary according to centre size. ⋯ Annual review %FEV1 underestimated lung health of adults from small and large centres in the United Kingdom to a greater extent compared with medium-sized centres. A plot of %FEV1 against centre size (eg, funnel plot comparison) would be affected by systematic bias in annual review %FEV1 . Therefore, annual review %FEV1 is an unreliable metric to compare health outcomes of adult CF centres within the United Kingdom.