Improving prescribing through big data approaches - ten years of the Scottish prescribing information system

Medicines are a major component of modern healthcare delivery, both in resource consumption and as drivers of innovation. The ever increasing application of digitalisation within day-to-day living and as part of our healthcare systems – with the resultant data generation – presents the opportunity to better define the populations exposed to medicines, and their benefits and harm in real world settings. This article outlines the development of the Scottish National Prescribing Information System (PIS) and describes how this capability is being used to support the safe and effective use of medicines, both nationally and internationally. Since 2009, PIS has included e-prescribed/e-dispensed and reimbursed medicines data, now totalling 976 million prescriptions, with codified structured data on dose instructions. A literature review, covering the period from January 2009 to March 2019, identified 40 full publications using PIS, the first occurring in 2014. The majority involved pharmacoepidemiology/drug use studies (50%) in cancer and cardiovascular disease. Measuring the value and impact of PIS was extended beyond publication quantification by illustrating the translation of PIS outputs into the learning health system at scale. The developing Scottish capabilities add breadth and depth to the wider evolving international environment, and offer the potential to contribute collegiately to the global effort on medicine safety and effectiveness, including support for the WHO Global Patient Safety Challenge: “Medication Without Harm”

Quality of Care Provided in Two Scottish Rural Community Maternity Units: a retrospective case review.

Background: Women in Scotland with uncomplicated pregnancies are encouraged by professional bodies and national guidelines to access community based models of midwife-led care for their labour and birth. The evidence base for these guidelines relates to comparisons of predominantly urban birth settings in England. There appears to be little evidence available about the quality of the care during the antenatal, birth and post birth periods available for women within the Scottish Community Maternity Unit (CMU) model. The research aim was to explore the safety and effectiveness of the maternity services provided at two rural Community Maternity Units in Scotland, both 40 miles by main road access from a tertiary obstetric unit. Methods: Following appropriate NHS and University ethical approval, an anonymous retrospective review of consecutive maternity records for all women who accessed care at the CMUs over a 12 month period (June 2011 to May 2012) was undertaken in 2013 -14. Data was extracted using variables chosen to provide a description of the socio-demographics of the cohort and the process and outcomes of the care provided. Data were analysed using descriptive statistics. Results: Regarding effectiveness, the correct care pathway was allocated to 97.5% of women, early access to antenatal care achieved by 95.7% of women, 94.8% of women at one CMU received continuity of carer and 78.6% of those clinically eligible accessed care in labour. 11.9% were appropriately transferred to obstetrician-led care antenatally and 16.9% were transferred in labour. All women received one-to one care in labour and 67.1% of babies born at the CMUs were breastfed at birth. Regarding safety, severe morbidity for women was rare, perineal trauma of 3rd degree tear occurred for 0.3% of women and 1.0% experienced an episiotomy. Severe post partum haemorrhage occurred for 0.3% of women. Babies admitted to the Neonatal unit were discharged within 48 hours. Conclusion: These findings support the recommendations of professional bodies and national guidelines. Maternity service provision at rural CMUs achieved a consistently high standard of safety and effectiveness when measured against national standards and international evidence

Quality improvement of community pharmacy services:a prioritisation exercise

Funded by NHS Education for ScotlandPeer reviewedPublisher PD

Health professionals’ experiences and perspectives on food insecurity and long‐term conditions : A qualitative investigation

© 2019 The Authors. Health and Social Care in the Community published by John Wiley & Sons Ltd.Peer reviewedPublisher PD

Identifying care-home residents in routine healthcare datasets:a diagnostic test accuracy study of five methods

Background: there is no established method to identify care-home residents in routine healthcare datasets. Methods matching patient’s addresses to known care-home addresses have been proposed in the UK, but few have been formally evaluated. Study design: prospective diagnostic test accuracy study. Methods: four independent samples of 5,000 addresses from Community Health Index (CHI) population registers were sampled for two NHS Scotland Health Boards on 1 April 2017, with one sample of adults aged ≥65 years and one of all residents. To derive the reference standard, all 20,000 addresses were manually adjudicated as ‘care-home address’ or not. The performance of five methods (NHS Scotland assigned CHI Institution Flag, exact address matching, postcode matching, Phonics and Markov) was evaluated compared to the reference standard. Results: the CHI Institution Flag had a high PPV 97–99% in all four test sets, but poorer sensitivity 55–89%. Exact address matching failed in every case. Postcode matching had higher sensitivity than the CHI flag 78–90%, but worse PPV 77–85%. Area under the receiver operating curve values for Phonics and Markov scores were 0.86–0.95 and 0.93–0.98, respectively. Phonics score with cut-off ≥13 had PPV 92–97% with sensitivity 72–87%. Markov PPVs were 90–95% with sensitivity 69–90% with cut-off ≥29.6. Conclusions: more complex address matching methods greatly improve identification compared to the existing NHS Scotland flag or postcode matching, although no method achieved both sensitivity and positive predictive value > 95%. Choice of method and cut-offs will be determined by the specific needs of researchers and practitioners