Adverse drug reactions (ADRs) are a major cause of hospital admissions, but recent data on the incidence and clinical characteristics of ADRs which occur following hospital admission, are lacking. Patients admitted to twelve wards over a six-month period in 2005 were assessed for ADRs throughout their admission. Suspected ADRs were recorded and analysed for causality, severity and avoidability and whether they increased the length of stay. Multivariable analysis was undertaken to identify the risk factors for ADRs. The 5% significance level was used when assessing factors for inclusion in multivariable models. Out of the 3695 patient episodes assessed for ADRs, 545 (14.7%, 95% CI 13.6–15.9%) experienced one or more ADRs. Half of ADRs were definitely or possibly avoidable. The patients experiencing ADRs were more likely to be older, female, taking a larger number of medicines, and had a longer length of stay than those without ADRs. However, the only significant predictor of ADRs, from the multivariable analysis of a representative sample of patients, was the number of medicines taken by the patient with each additional medication multiplying the hazard of an ADR episode by 1.14 (95% CI 1.09, 1.20). ADRs directly increased length of stay in 147 (26.8%) patients. The drugs most frequently associated with ADRs were diuretics, opioid analgesics, and anticoagulants. In conclusion, approximately one in seven hospital in-patients experience an ADR, which is a significant cause of morbidity, increasing the length of stay of patients by an average of 0.25 days/patient admission episode. The overall burden of ADRs on hospitals is high, and effective intervention strategies are urgently needed to reduce this burden.

National governments without access to antifungal drugs should address this health system deficiency urgently to improve clinical outcomes from serious fungal disease. The variability in the price of antifungals between countries is striking.

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECTADRs in hospital patients are a significant burden, though how often ADRs cause re-admission to hospital has not been well documented in the literature. WHAT THIS STUDY ADDS• One fifth of patients re-admitted to hospital within 1 year of discharge from their index admission were re-admitted due to an adverse drug reaction. • Admission to a medical ward, elderly age and prescription of anti-platelet agents or diuretics were identified as risk factors for re-admission due to ADRs.• Since up to 50% of these reactions were possibly avoidable, better methods of medication review in both hospital and primary care, in conjunction with a clinical review, are needed to enable improved prescribing practices that will be essential for improving the benefit-harm balance of medicines. AIMThe proportion of re-admissions to hospital caused by ADRs is poorly documented in the UK. The aim of this study was to evaluate the impact of ADRs on re-admission to hospital after a period as an inpatient. METHODSOne thousand patients consecutively admitted to 12 wards were included. All subsequent admissions for this cohort within 1 year of discharge from the index admission were retrospectively reviewed. RESULTSOf the 1000 patients included, 403 (40.3%, 95% CI 39.1, 45.4%) were re-admitted within 1 year. Complete data were available for 290 (70.2%) re-admitted patients, with an ADR contributing to admission in 60 (20.8%, 95% CI 16.4, 25.6%) patients. Presence of an ADR in the index admission did not predict for an ADR-related re-admission (10.5% vs. 7.2%, P = 0.25), or re-admission overall (47.2% vs. 41.2%, P = 0.15). The implicated drug was commenced in the index admission in 33/148 (22.3%) instances, with 37/148 (25%) commenced elsewhere since the index admission. Increasing age and an index admission in a medical ward were associated with a higher incidence of re-admission ADR. The most frequent causative drugs were anti-platelets and loop diuretics, with bleeding and renal impairment the most frequent ADRs. Over half (52/91, 57.1%) of the ADRs were judged to be definitely or possibly avoidable. CONCLUSIONSOne fifth of patients re-admitted to hospital within 1 year of discharge from their index admission are re-admitted due to an ADR. Our data highlight drug and patient groups where interventions are needed to reduce the incidence of ADRs leading to re-admission.

The serious nature of adverse drug reactions (ADRs) has been highlighted in a number of instances over the last forty years, the most recent of these being the occurrence of serious thrombotic events with the use of COX-2 inhibitors. ADRs are estimated to be between the 4(th) and 6(th) leading cause of death in the USA, with fatal ADRs occurring in 0.32% of patients. A recent UK study showed that 6.5% of hospital admissions were related to ADRs. ADRs can therefore be regarded as a significant public health and economic problem. There is an urgent need to develop better preventive strategies to reduce the burden of ADRs. Because ADRs can affect any bodily system, can have many different clinical presentations, and are of widely variable severity, prevention will not be easy and will have to be multifactorial in its approach. This paper reviews the epidemiology of ADRs in hospitals and evaluates the research that has been undertaken to date to prevent ADRs.

Almost one-fifth of patients suffered an ADR as an inpatient. Methodology tested using this pilot will enable the design of a larger study, involving over 3000 patients, which will allow the ADR burden and vulnerable patient groups, to be more accurately characterized. This study will aid the development of interventions to reduce the impact of ADRs in hospital in-patients.

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Objectives: To examine trends in strong opioid prescribing in a primary care population in Wales and identify if factors such as age, deprivation and recorded diagnosis of depression or anxiety may have influenced any changes noted. Design: Trend, cross-sectional and longitudinal analyses of routine data from the Primary Care General Practice database and accessed via the Secure Anonymised Information Linkage (SAIL) databank. Setting: A total of 345 Primary Care practices in Wales. Participants: Anonymised records of 1,223,503 people aged 18 or over, receiving at least one opioid prescription between 1 January 2005 and 31 December 2015 were analysed. People with a cancer diagnosis (10.1%) were excluded from the detailed analysis. Results: During the study period, 26,180,200 opioid prescriptions were issued to 1,223,503 individuals (55.9% female, 89.9% non-cancer diagnoses). The greatest increase in annual prescribing was in the 18–24 age group (10,470%), from 0.08 to 8.3 prescriptions/1000 population, although the 85+ age group had the highest prescribing rates across the study period (from 149.9 to 288.5 prescriptions/1000 population). The number of people with recorded diagnoses of depression or anxiety and prescribed strong opioids increased from 1.2 to 5.1 people/1000 population (328%). The increase was 366.9% in areas of highest deprivation compared to 310.3 in the least. Areas of greatest deprivation had more than twice the rate of strong opioid prescribing than the least deprived areas of Wales. Conclusion: The study highlights a large increase in strong opioid prescribing for non-cancer pain, in Wales between 2005 and 2015. Population groups of interest include the youngest and oldest adult age groups and people with depression or anxiety particularly if living in the most deprived communities. Based on this evidence, development of a Welsh national guidance on safe and rational prescribing of opioids in chronic pain would be advisable to prevent further escalation of these medicines. Summary points This is the first large-scale, observational study of opioid prescribing in Wales. Over 1 million individual, anonymised medical records have been searched in order to develop the study cohort, thus reducing recall bias. Diagnosis and intervention coding in the Primary Care General Practice database is limited at input and may lead to under-reporting of diagnoses. There are limitations to the data available through the Secure Anonymised Information Linkage databank because anonymously linked dispensing data (what people collect from the pharmacy) are not currently available. Consequently, the results presented here could be seen as an ‘intention to treat’ and may under- or overestimate what people in Wales actually consume.