Inequalities in children's mental health care: analysis of routinely collected data on prescribing and referrals to secondary care.

BACKGROUND: One in eight children in the United Kingdom are estimated to have a mental health condition, and many do not receive support or treatment. The COVID-19 pandemic has negatively impacted mental health and disrupted the delivery of care. Prevalence of poor mental health is not evenly distributed across age groups, by sex or socioeconomic groups. Equity in access to mental health care is a policy priority but detailed socio-demographic trends are relatively under-researched. METHODS: We analysed records for all mental health prescriptions and referrals to specialist mental health outpatient care between the years of 2015 and 2021 for children aged 2 to 17 years in a single NHS Scotland health board region. We analysed trends in prescribing, referrals, and acceptance to out-patient treatment over time, and measured differences in treatment and service use rates by age, sex, and area deprivation. RESULTS: We identified 18,732 children with 178,657 mental health prescriptions and 21,874 referrals to specialist outpatient care. Prescriptions increased by 59% over the study period. Boys received double the prescriptions of girls and the rate of prescribing in the most deprived areas was double that in the least deprived. Mean age at first mental health prescription was almost 1 year younger in the most deprived areas than in the least. Referrals increased 9% overall. Initially, boys and girls both had an annual referral rate of 2.7 per 1000, but this fell 6% for boys and rose 25% for girls. Referral rate for the youngest decreased 67% but increased 21% for the oldest. The proportion of rejected referrals increased steeply since 2020 from 17 to 30%. The proportion of accepted referrals that were for girls rose to 62% and the mean age increased 1.5 years. CONCLUSIONS: The large increase in mental health prescribing and changes in referrals to specialist outpatient care aligns with emerging evidence of increasing poor mental health, particularly since the start of the COVID-19 pandemic. The static size of the population accepted for specialist treatment amid greater demand, and the changing demographics of those accepted, indicate clinical prioritisation and unmet need. Persistent inequities in mental health prescribing and referrals require urgent action.

A National Network of Safe Havens: Scottish Perspective.

For over a decade, Scotland has implemented and operationalized a system of Safe Havens, which provides secure analytics platforms for researchers to access linked, deidentified electronic health records (EHRs) while managing the risk of unauthorized reidentification. In this paper, a perspective is provided on the state-of-the-art Scottish Safe Haven network, including its evolution, to define the key activities required to scale the Scottish Safe Haven network's capability to facilitate research and health care improvement initiatives. A set of processes related to EHR data and their delivery in Scotland have been discussed. An interview with each Safe Haven was conducted to understand their services in detail, as well as their commonalities. The results show how Safe Havens in Scotland have protected privacy while facilitating the reuse of the EHR data. This study provides a common definition of a Safe Haven and promotes a consistent understanding among the Scottish Safe Haven network and the clinical and academic research community. We conclude by identifying areas where efficiencies across the network can be made to meet the needs of population-level studies at scale.

A profile of the Grampian Data Safe Haven, a regional Scottish safe haven for health and population data research.

There has been a recent emphasis to establish and codify large-scale or national Trusted Research Environments (TREs) in the United Kingdom, with a view to limit smaller, local TREs. The basis for this argument is that it avoids duplication of infrastructure, information governance, privacy risks, monopolies and will promote innovation, particularly with commercial partners. However, the work around establishing TREs in the UK largely ignores the long-established local TRE landscape in Scotland, and the way in which local TREs can actually improve data quality, solve technical architecture challenges, promote information governance and risk minimisation, and encourage innovation and collaboration (both academic and commercial). This data centre profile focuses on the Grampian Data Safe Haven (DaSH), a secure, virtual healthcare data analysis and storage centre located in Aberdeen, Scotland. DaSH was co-established by the NHS Grampian Health Board and University of Aberdeen to allow for the secure processing and linking of health data for the Grampian and Scottish population when it is not practicable to obtain consent from individual patients. As an established trusted research environment now in its 10th operating year, DaSH technology ensures healthcare, social care data and other types of sensitive data, routinely collected and used without individual patient consent, are made accessible for both academic research and clinical service evaluation and improvements whilst protecting individuals' privacy at the local, national and international levels. DaSH has registered almost 600 projects and facilitated over 200 distinct research projects with data hosting, extraction, and novel linkages to completion. Ongoing innovation and collaboration between DaSH and the NHS Grampian Health Board continues to expand researcher access to new types of data and data linkages, introduce new technologies for advanced statistical research methods, and supports interdisciplinary research using population health and social care data for research, clinical and commercial advancements, and real-world practitioner applications. The purpose of this paper is to present DaSH's data population, operating model, architecture and information technology, governance, legislation and management, privacy-by-design principles and data access, data linkage methods, data sources, noteworthy research outputs, and further developments in order to demonstrate the value of local TREs within the data management and access debate.

Do patients have worse outcomes in heart failure than in cancer? A primary care-based cohort study with 10-year follow-up in Scotland.

AIMS: This study was designed to evaluate whether survival rates in patients with heart failure (HF) are better than those in patients with diagnoses of the four most common cancers in men and women, respectively, in a contemporary primary care cohort in the community in Scotland. METHODS AND RESULTS: Data were obtained from the Primary Care Clinical Informatics Unit from a database of 1.75 million people registered with 393 general practices in Scotland. Sex-specific survival modelling was undertaken using Cox proportional hazards models, adjusted for potential confounders. A total of 56 658 subjects were eligible for inclusion in the study. These represented a total of 147 938 person-years of follow-up (median follow-up: 2.04 years). In men, HF (reference group; 5-year survival: 55.8%) had worse mortality outcomes than prostate cancer [hazard ratio (HR) 0.61, 95% confidence interval (CI) 0.57-0.65; 5-year survival: 68.3%], and bladder cancer (HR 0.88, 95% CI 0.81-0.96; 5-year survival: 57.3%), but better outcomes than lung cancer (HR 3.86, 95% CI 3.65-4.07; 5-year survival: 8.4%) and colorectal cancer (HR 1.23, 95% CI 1.16-1.31; 5-year survival: 48.9%). In women, HF (reference group; 5-year survival: 49.5%) had worse mortality outcomes than breast cancer (HR 0.55, 95% CI 0.51-0.59; 5-year survival 77.7%), but better outcomes than colorectal cancer (HR 1.21, 95% CI 1.13-1.29; 5-year survival 51.5%), lung cancer (HR 3.82, 95% CI 3.60-4.05; 5-year survival 10.4%), and ovarian cancer (HR 1.98, 95% CI 1.80-2.17; 5-year survival 38.2%). CONCLUSIONS: Despite advances in management, HF remains as 'malignant' as some of the common cancers in both men and women.

Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? A comparison study with laboratory data.

Internationally, investment in the availability of routine health care data for improving health, health surveillance and health care is increasing. We assessed the validity of hospital episode data for identifying individuals with chronic kidney disease compared to biochemistry data in a large population-based cohort, the Grampian Laboratory Outcomes, Morbidity and Mortality Study-II (n = 70,435). Grampian Laboratory Outcomes, Morbidity and Mortality Study-II links hospital episode data to biochemistry data for all adults in a health region with impaired kidney function and random samples of individuals with normal and unmeasured kidney function in 2003. We compared identification of individuals with chronic kidney disease by hospital episode data (based on International Classification of Diseases-10 codes) to the reference standard of biochemistry data (at least two estimated glomerular filtration rates <60 mL/min/1.73 m(2) at least 90 days apart). Hospital episode data, compared to biochemistry data, identified a lower prevalence of chronic kidney disease and had low sensitivity (<10%) but high specificity (>97%). Using routine health care data from multiple sources offers the best opportunity to identify individuals with chronic kidney disease.

Age-, and gender-specific incidence of vascular parkinsonism, progressive supranuclear palsy, and parkinsonian-type multiple system atrophy in North East Scotland: the PINE study.

INTRODUCTION: There have been few incidence studies of vascular parkinsonism (VP), progressive supranuclear palsy (PSP), and parkinsonian-type multiple system atrophy (MSA-P). We measured the age-, gender- and socioeconomic-specific incidence rates for these conditions in north-east Scotland. METHODS: Incident non drug-induced parkinsonian patients were identified prospectively over three years by several overlapping methods from a baseline primary care population of 311,357. Parkinsonism was diagnosed if patients had two or more cardinal motor signs. Patients had yearly follow-up to improve diagnostic accuracy. Incidence rates using the diagnosis by established research criteria at latest follow-up were calculated for each condition by age, gender, and socioeconomic status. RESULTS: Of 377 patients identified at baseline with possible or probable parkinsonism, 363 were confirmed as incident patients after median follow-up of 26 months (mean age 74.8 years, SD 9.8; 61% men). The crude annual incidence was 3.2 per 100,000 (95% confidence interval (CI) 2.2-4.3) for VP, 1.7 per 100,000 (95% CI 1.0-2.4) for PSP, and 1.4 per 100,000 (95% CI 0.8-2.1) for MSA-P. VP and MSA-P were more common in men (age-adjusted male to female ratios 2.58 (95% CI 1.65-3.83) and 8.65 (95% CI 4.73-14.5) respectively). Incidence did not vary with socioeconomic status. DISCUSSION: This is the first community-based, prospective study to report the incidence of vascular parkinsonism and the third to report the incidence of PSP and MSA-P. Further follow-up and comparison with similar studies in different populations will yield valuable prognostic and aetiological information on these conditions.

Age-, gender-, and socioeconomic status-specific incidence of Parkinson's disease and parkinsonism in northeast Scotland: the PINE study.

There have been few high quality incidence studies of Parkinson's disease (PD). We measured age-, gender- and socioeconomic-specific incidence rates for parkinsonism and PD in north-east Scotland, and compared our results with those of previous high quality studies. Incident patients were identified prospectively over three years by several overlapping methods from primary care practices (total population 311,357). Parkinsonism was diagnosed if patients had two or more cardinal motor signs. Drug-induced parkinsonism was excluded. Patients had yearly follow-up to improve diagnostic accuracy. Incidence rates using clinical diagnosis at latest follow-up were calculated for all parkinsonism and for PD by age, gender and socioeconomic status. Meta-analysis with similar studies was performed. Of 377 patients identified at baseline with possible or probable parkinsonism, 363 were confirmed as incident patients after median follow-up of 26 months (mean age 74.8 years, SD 9.8; 61% men). The crude annual incidence of parkinsonism was 28.7 per 100,000 (95% confidence interval (CI) 25.7-31.8) and PD 17.9 per 100,000 (95% CI 15.5-20.4). PD was more common in men (age-adjusted male to female ratio 1.87:1, 95% CI 1.55-2.23) but there was no difference by socioeconomic status. Meta-analysis of 12 studies showed an incidence of PD (adjusted to the 1990 Scottish population) of 14.6 per 100,000 (95% CI 12.2-17.3) with considerable heterogeneity (I(2) 95%), partially explained by population size and recruitment duration. The incidence of PD was similar to other high quality studies. The incidence of PD was not affected by socioeconomic status.

A new prevalence study of multiple sclerosis in Orkney, Shetland and Aberdeen city.

BACKGROUND: 30 years ago very high multiple sclerosis (MS) prevalence rates were recorded in northern Scotland. A prevalence study was repeated in Aberdeen, Orkney and Shetland to see if prevalence rates had changed, assess which factors affect prevalence and record disability status. METHODS: Hospital, general practice and laboratory records were searched to identify prevalent MS patients (alive and registered with a participating general practice on 24 September 2009). Records were reviewed to confirm diagnoses applying Poser definite and probable and McDonald diagnostic criteria. Disability status (Expanded Disability Status Scale) was recorded from records and questionnaires. Rates were standardised to the Scottish population. RESULTS: 590 patients were found (Aberdeen 442, Orkney 82, Shetland 66). Mean age and disease duration were 53 and 19.4 years, respectively. The standardised prevalence rates for Poser probable/definite MS per 100, 000 were: combined area 248 (95% CI 229 to 269), Orkney 402 (95% CI 319 to 500), Shetland 295 (95% CI 229 to 375) and Aberdeen 229 (95% CI 208 to 250). McDonald diagnostic criteria gave a lower prevalence (202, 95% CI 198 to 206). Prevalence was highest in women (2.55:1, 95% CI 2.26 to 2.89) with about 1 in 170 women in Orkney affected. Prevalence was lowest in the most deprived socioeconomic group. 45% had significant disability (Expanded Disability Status Scale ≥6). CONCLUSION: The prevalence of MS has increased in the overall area, most markedly in Orkney, then Shetland, over the past 30 years. This increase could be due to a number of factors, but rising incidence as reflected by a rising sex ratio, influenced by gene-environment interaction, is the most likely. Orkney has the highest prevalence rate recorded worldwide.

Factors associated with duration of new antidepressant treatment: analysis of a large primary care database.

BACKGROUND: It is not known how much the duration of newly prescribed antidepressant treatment is influenced by patient characteristics or practice variation. AIM: To describe the relationship between patient characteristics and the duration of new antidepressant treatment by general practices. DESIGN AND SETTING: Large primary care database cohort study of all patients with a newly initiated course of eligible antidepressant treatment during 1 year, from a database of 237 Scottish practices. METHOD: Detailed prescription data were used to estimate the duration of new antidepressant treatment for each patient. Cox proportional hazards regression was used to estimate the influence of patient characteristics on continuation of treatment and, by multilevel modelling, the variation between practices. RESULTS: A total of 28 027 (2.2%) patients commenced antidepressant treatment during the year; 75% continued beyond 30 days, 56% beyond 90 days, and 40% beyond 180 days. Treatment was less likely to be continued in patients from areas of high socioeconomic deprivation: hazard ratio 1.22 (95% confidence interval [CI] = 1.16 to 1.29); in patients under 35 years, 1.33 (95% CI = 1.28 to 1.37); and in those for whom the GP recorded no relevant diagnostic code, 1.16 (95% CI = 1.13 to 1.18). Models accounted for between 2.2% and 3.9% of the variation in treatment duration. CONCLUSION: Patient demographic characteristics account for relatively little variation in the duration of new antidepressant treatment, though treatment was shorter in younger patients and those with greater socioeconomic deprivation. There is variation in treatment duration between practices and according to whether patients have a depression diagnosis coded in their records.