Comparison of the reviewed studies was confounded by differences in study setting, research method and operational definitions for dispensing errors, error rate and classification of error types. The World Health Organization is currently developing global patient safety taxonomy. Such a standardized taxonomy for dispensing errors would facilitate consistent data collection and assist the development of error-reduction strategies.
The elevated risk of Parkinson’s disease in patients with diabetes might be mitigated depending on the type of drugs prescribed to treat diabetes. Population data for risk of Parkinson’s disease in users of the newer types of drugs used in diabetes are scarce. We compared the risk of Parkinson’s disease in patients with diabetes exposed to thiazolidinediones (glitazones), glucagon-like peptide-1 (GLP-1) receptor agonists and dipeptidyl peptidase 4 (DPP4) inhibitors, with the risk of Parkinson’s disease of users of any other oral glucose lowering drugs. A population-based, longitudinal, cohort study was conducted using historic primary care data from The Health Improvement Network. Patients with a diagnosis of diabetes and a minimum of two prescriptions for diabetes medications between January 2006 and January 2019 were included in our study. The primary outcome was the first recording of a diagnosis of Parkinson’s disease after the index date, identified from clinical records. We compared the risk of Parkinson’s disease in individuals treated with glitazones or DPP4 inhibitors and/or GLP-1 receptor agonists to individuals treated with other antidiabetic agents using a Cox regression with inverse probability of treatment weighting based on propensity scores. Results were analysed separately for insulin users. Among 100 288 patients [mean age 62.8 years (standard deviation 12.6)], 329 (0.3%) were diagnosed with Parkinson’s disease during the median follow-up of 3.33 years. The incidence of Parkinson’s disease was 8 per 10 000 person-years in 21 175 patients using glitazones, 5 per 10 000 person-years in 36 897 patients using DPP4 inhibitors and 4 per 10 000 person-years in 10 684 using GLP-1 mimetics, 6861 of whom were prescribed GTZ and/or DPP4 inhibitors prior to using GLP-1 mimetics. Compared with the incidence of Parkinson’s disease in the comparison group (10 per 10 000 person-years), adjusted results showed no evidence of any association between the use of glitazones and Parkinson’s disease [incidence rate ratio (IRR) 1.17; 95% confidence interval (CI) 0.76–1.63; P = 0.467], but there was strong evidence of an inverse association between use of DPP4 inhibitors and GLP-1 mimetics and the onset of Parkinson’s disease (IRR 0.64; 95% CI 0.43–0.88; P < 0.01 and IRR 0.38; 95% CI 0.17–0.60; P < 0.01, respectively). Results for insulin users were in the same direction, but the overall size of this group was small. The incidence of Parkinson’s disease in patients diagnosed with diabetes varies substantially depending on the treatment for diabetes received. The use of DPP4 inhibitors and/or GLP-1 mimetics is associated with a lower rate of Parkinson’s disease compared to the use of other oral antidiabetic drugs.
Objectives To identify, review and evaluate the published literature on the incidence, type and causes of dispensing errors in community and hospital pharmacy. Method Electronic databases were searched from 1966 to February 2008. This was supplemented by hand-searching the bibliographies of retrieved articles. Analysis of the findings explored the research methods, operational definitions, incidence, type and causes of dispensing errors. Key findings Sixty papers were identified investigating dispensing errors in the UK, US, Australia, Spain and Brazil. In general, the incidence of dispensing errors varied depending on the study setting, dispensing system, research method and operational definitions. The most common dispensing errors identified by community and hospital pharmacies were dispensing the wrong drug, strength, form or quantity, or labelling medication with the incorrect directions. Factors subjectively reported as contributing to dispensing errors were look-alike, sound-alike drugs, low staffing and computer software. High workload, interruptions, distractions and inadequate lighting were objectively shown to increase the occurrence of dispensing errors. Conclusions Comparison of the reviewed studies was confounded by differences in study setting, research method and operational definitions for dispensing errors, error rate and classification of error types. The World Health Organization is currently developing global patient safety taxonomy. Such a standardized taxonomy for dispensing errors would facilitate consistent data collection and assist the development of error-reduction strategies.
Objective To monitor unprevented dispensing incidents in NHS hospitals by identifying incident types, drugs involved and factors that may have contributed to the occurrence of incidents. Setting All 20 Welsh NHS hospitals (15 district general; 2 teaching; 2 psychiatric and 1 other specialist hospital). Method Unprevented dispensing incidents that occurred between January 2003 and December 2004 were reported and analysed using a validated method. Incident rate was calculated for those hospitals that provided both incident and issue data. Incident rate was compared with previous research using a two‐sample t‐test. Reported incident types and contributory factors were compared with previous research using chi‐square analysis. Key findings A total of 1005 unprevented dispensing incidents were reported by 20 hospitals. The overall incident rate, based on data from 17 hospitals, was 16 incidents per 100000 items dispensed (range 0.2–46 incidents per 100000 items dispensed). The overall dispensing incident rate was less than previously reported (18 incidents per 100000 items dispensed).This finding was not statistically significant (t = 0.421, P = 0.676). The most common incidents reported were dispensing the wrong strength of drug (n = 241, 24%), wrong drug (n = 168, 17%), wrong form (n = 134, 13%) and printing the wrong warnings/directions on the label (n = 112, 11%). A statistically significant finding was that fewer incidents involving dispensing the wrong drug were reported by Welsh hospitals (17%) compared to previous research in the UK (23%; P = 0.01). Drugs most commonly involved in incidents were insulin (n = 34; 6 incidents per 10000 issues of insulin), nifedipine (n = 16; 10 incidents per 10000 issues of nifedipine) and carbamazepine (n = 10; 5 incidents per 10000 issues of carbamazepine). Conclusion The overall unprevented dispensing incident rate was less than previously reported. Dispensing the wrong strength of the correct drug is a problem. Staff should be aware of the risk of dispensing incidents involving insulin, nifedipine and carbamazepine. Strategies for minimising dispensing incidents include using shelf labels to highlight different strengths or formulations of the same drug, and educating staff about easily confused drugs.
Background & Aims-To undertake the first randomised controlled trial to evaluate the effectiveness of a brief intervention delivered by community pharmacists to reduce hazardous or harmful drinking.
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