Background And Aims: This project explores primary care data quality (DQ) across Scotland.
Methods And Results: A survey was sent to primary care staff in winter 2019. National data regarding Quality and Outcomes Framework (QOF) performance indicators and the GP software system used was obtained, analysed with T-tests and Chi-squared tests.
Background: There is an urgent need for epidemiological research in primary care to develop risk assessment processes for patients presenting with COVID-19, but lack of a standardised approach to data collection is a significant barrier to implementation.
Aim: To collate a list of relevant symptoms, assessment items, demographics, and lifestyle and health conditions associated with COVID-19, and match these data items with corresponding SNOMED CT clinical terms to support the development and implementation of consultation templates.
Design & Setting: Published and preprint literature for systematic reviews, meta-analyses, and clinical guidelines describing the symptoms, assessment items, demographics, and/or lifestyle and health conditions associated with COVID-19 and its complications were reviewed.
Aims: Regulatory risk communications are important to ensure medication safety, but their impact is poorly understood. The aim was to quantify the impact of UK risk communications on medication use and other outcomes.
Methods: We conducted a systematic review of studies reporting prescribing/health outcome data relevant to UK regulatory risk communication.
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.
View Article and Find Full Text PDFPurpose: To measure the prevalence of physical and mental health comorbidities in people with epilepsy in a large population cohort, and to examine the prevalence of depression accounting for other physical comorbidity.
Methods: Population-based, cross-sectional descriptive epidemiology analysis of primary care electronic records for 1,510,742 people aged 14+ years, examining the prevalence of 39 comorbidities.
Results: 12,720 people with epilepsy were identified (prevalence 8.