Journal of evaluation in clinical practice
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Reducing preventable harm from repeat medication prescriptions is a patient safety priority worldwide. In the United Kingdom, repeat prescriptions items issued has doubled in the last 20 years from 5.8 to 13.3 items per patient per annum. This has significant resource implications and consequences for avoidable patient harms. Consequently, we aimed to test a risk management model to identify, measure, and reduce repeat prescribing system risks in primary care. ⋯ The risk management model tested uncovered important safety concerns and facilitated the development and communication of related improvement recommendations. System-wide information on hazardous repeat prescribing and how this could be mitigated is very limited. The approach reported may have potential to close this gap and improve the reliability of general practice systems and patient safety, which should be of high interest to primary care organisations internationally.
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Open and honest discussion between healthcare providers and patients and families affected by error is considered to be a central feature of high quality and safer patient care, evidenced by the implementation of open disclosure policies and guidance internationally. This paper discusses the perceived enablers that UK doctors and nurses report as facilitating the enactment of open disclosure. ⋯ Greater openness in relation to adverse events requires health professionals to recognise candour as a professional and moral duty, exemplified in the behaviour of senior clinicians and that seems more likely to occur in a nonpunitive, learning environment. Recognising incident disclosure as part of ongoing respectful and open communication with patients throughout their care is critical.
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Observational Study
Perioperative hypothermia during hip fracture surgery: An observational study.
Elderly patients are at high risk of accidental perioperative hypothermia. The primary objective of this study was to measure the changes in body temperature and the incidence of hypothermia in elderly patients undergoing hip fracture surgery. ⋯ These results indicate that despite the use of active warming methods for most patients, significant hypothermia is still an issue amongst elderly patients undergoing hip fracture surgery. Further improvement is necessary to prevent hypothermia in this high-risk group of patients.
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In evaluating non-randomized interventions, propensity scores (PS) estimate the probability of assignment to the treatment group given observed characteristics. Machine learning algorithms have been proposed as an alternative to conventional logistic regression for modelling PS in order to avoid limitations of linear methods. We introduce classification tree analysis (CTA) to generate PS which is a "decision-tree"-like classification model that provides accurate, parsimonious decision rules that are easy to display and interpret, reports P values derived via permutation tests, and evaluates cross-generalizability. ⋯ Assessing standardized differences in means as a test of covariate balance is inappropriate for machine learning algorithms that segment the sample into two or more strata. Because the CTA algorithm identifies all statistically valid PS models for a sample, it is most likely to identify a correctly specified PS model, and should be considered as an alternative approach to modeling the PS.
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To evaluate the effect of an electronic medication administration record (eMAR) application on the rate of medication errors in medication administration recording (ME-MAR). ⋯ Use of the eMAR application significantly reduces the rate of ME-MAR and their potential risk. The main cause of ME-MAR was the failure to follow work procedures.