Older patients are more likely to breach the 4-hour target in Scotland

ObjectiveTo determine if age is a factor in a patients’ likelihood of breaching the 4 hour time target to admission/discharge in emergency departments (EDs) within NHS Scotland.MethodsWe used data from the Information Service Division Scotland to analyse all ED attendances in Scotland between January 2015 and September 2018 (n=5 596 642). We assessed the likelihood of time to admission/discharge being within 4 hours, 8 hours and 12 hours for all age categories (reference category 20 to 24 years). Univariable logistic regressions were carried out for sex, Scottish Index of Multiple Deprivation level and both major (potentially life threatening) and minor (not immediately life threatening) incidences.ResultsThe likelihood of breaching the 4-hour target increased linearly with age from 15 to 19 years upward. Patients ≥85 years were significantly (p<0.001) more likely to have breached than patients aged 20 to 24 years (OR 3.80, 95% CI: 3.73 to 3.86). When considering major incidents, patients aged ≥85 years were more likely to have breached than those aged 20 to 24 years (OR 2.05, 95% CI: 2.01 to 2.09, p<0.001). The same was true of minor incidents (OR 2.85, 95% CI: 2.73 to 2.98, p<0.001).ConclusionsOlder age is associated with a higher probability of breaching waiting time targets in a linear fashion within NHS Scotland, which is consistent with previous single hospital or regional studies. This association may be due to the higher proportion of elderly patients being admitted or a more systemic issue, but regardless, the elderly are being put more at risk.

Benzodiazepines and non-benzodiazepine hypnotics – impact of a cluster adopted protocol on primary care prescribing

Background and Aims Reduction of benzodiazepines and non-benzodiazepine hypnotics (BZDs and Z-drugs) prescribing is a priority. Dundee, Scotland, has a total of 25 general practices, split into four clusters. The cluster with the highest recorded prescribing of BZDs and Z-drugs adopted a prescribing protocol that aimed to reduce such prescribing. This paper evaluates the impact of this protocol. Methods Quarterly prescribing data were obtained from Information Service Division, NHS Scotland from Q1 2015/16 to Q4 2017/18. Data were split into four clusters and standardised to Defined Daily Dose (DDDs) per 1000 registered patients. Interrupted time series (ITS) analysis was performed to assess prescribing one year after this protocol was introduced. Results There was a crude reduction in prescribing of BZDs and Z-drugs across all GP practice clusters, but this related to an ongoing downward trend in prescribing. Allowing for this, in the cluster that adopted the protocol, ITS revealed there was no significant reduction attributable to the intervention in prescribing of DDD equivalent doses (−0.4%, 95% CI: −7.2 to 7.6). Conclusions Introduction of a cluster-wide prescribing protocol did not provide significant reduction of prescribing. Although crude figures might suggest an improvement, ITS analysis revealed this not to be the case.