Our objective was to identify and establish consensus on the most important safety features of GP computer systems, with a particular emphasis on medicines management. We used a two-round electronic Delphi survey, completed by a 21-member multidisciplinary expert panel, all from the UK. The main outcome measure was percentage agreement of the panel members on the importance of the presence of a number of different safety features (presented as clinical statements) on GP computer systems. We found 90% or greater agreement on the importance of 32 (58%) statements. These statements, indicating issues considered to be of considerable importance (rated as important or very important), related to: computerised alerts; the need to avoid spurious alerts; making it difficult to override critical alerts; having audit trails of such overrides; support for safe repeat prescribing; effective computer-user interface; importance of call and recall management; and the need to be able to run safety reports. The high level of agreement among the expert panel members indicates clear themes and priorities that need to be addressed in any further improvement of safety features in primary care computing systems.

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BackgroundMost patients with mental illness are managed in primary care, yet there is a lack of data exploring potential prescribing safety issues in this setting for this population.ObjectivesExamine the prevalence of, between-practice variation in, and patient and practice-level risk factors for, 18 mental health-related potentially hazardous prescribing indicators and four inadequate medication monitoring indicators in UK primary care.MethodCross-sectional analyses of routinely collected electronic health records from 361 practices contributing to Clinical Practice Research Datalink GOLD database. The proportion of patients ‘at risk’ (based on an existing diagnosis, medication, age and/or sex) triggering each indicator and composite indicator was calculated. To examine between-practice variation, intraclass correlation coefficient (ICC) and median OR (MOR) were estimated using two-level logistic regression models. The relationship between patient and practice characteristics and risk of triggering composites including 16 of the 18 prescribing indicators and four monitoring indicators were assessed using multilevel logistic regression.Results9.4% of patients ‘at risk’ (151 469 of 1 611 129) triggered at least one potentially hazardous prescribing indicator; between practices this ranged from 3.2% to 24.1% (ICC 0.03, MOR 1.22). For inadequate monitoring, 90.2% of patients ‘at risk’ (38 671 of 42 879) triggered at least one indicator; between practices this ranged from 33.3% to 100% (ICC 0.26, MOR 2.86). Patients aged 35–44, females and those receiving more than 10 repeat prescriptions were at greatest risk of triggering a prescribing indicator. Patients aged less than 25, females and those with one or no repeat prescription were at greatest risk of triggering a monitoring indicator.ConclusionPotentially hazardous prescribing and inadequate medication monitoring commonly affect patients with mental illness in primary care, with marked between-practice variation for some indicators. These findings support health providers to identify improvement targets and inform development of improvement efforts to reduce medication-related harm.