Impact of opioid substitution therapy for Scotland's prisoners on drugs-related deaths soon after prisoner-release

AIM: To assess whether the introduction of a prison‐based opioid substitution therapy (OST) policy was associated with a reduction in drug‐related deaths (DRD) within 14 days after prison release. DESIGN: Linkage of Scotland's prisoner database with death registrations to compare periods before (1996–2002) and after (2003–07) prison‐based OST was introduced. SETTING: All Scottish prisons. PARTICIPANTS: People released from prison between 1 January 1996 and 8 October 2007 following an imprisonment of at least 14 days and at least 14 weeks after the preceding qualifying release. MEASUREMENTS: Risk of DRD in the 12 weeks following release; percentage of these DRDs which occurred during the first 14 days. FINDINGS: Before prison‐based OST (1996–2002), 305 DRDs occurred in the 12 weeks after 80 200 qualifying releases, 3.8 per 1000 releases [95% confidence interval (CI) = 3.4–4.2]; of these, 175 (57%) occurred in the first 14 days. After the introduction of prison‐based OST (2003–07), 154 DRDs occurred in the 12 weeks after 70 317 qualifying releases, a significantly reduced rate of 2.2 per 1000 releases (95% CI = 1.8–2.5). However, there was no change in the proportion which occurred in the first 14 days, either for all DRDs (87: 56%) or for opioid‐related DRDs. CONCLUSIONS: Following the introduction of a prison‐based opioid substitution therapy (OST) policy in Scotland, the rate of drug‐related deaths in the 12 weeks following release fell by two‐fifths. However, the proportion of deaths that occurred in the first 14 days did not change appreciably, suggesting that in‐prison OST does not reduce early deaths after release

A critical reflection on the use of improvement science approaches in public health

Objective: ‘Improvement science’ is used to describe specific quality improvement methods (including tests of change and statistical process control). The approach is spreading from clinical settings to population-wide interventions and is being extended from supporting the adoption of proven interventions to making generalisable claims about new interventions. The objective of this narrative review is to evaluate the strengths and risks of current improvement science practice, particularly in relation to how they might be used in population health. Methods: A purposive sampling of published studies to identify how improvement science methods are being used and for what purpose. The setting was Scotland and studies that focused on health and wellbeing outcomes. Results: We have identified a range of improvement science approaches which provide practitioners with accessible tools to assess small-scale changes in policy and practice. The strengths of such approaches are that they facilitate consistent implementation of interventions already known to be effective and motivate and empower staff to make local improvements. However, we also identified a number of potential risks. In particular, their use to assess the effectiveness of new interventions often seems to pay insufficient attention to random variation, measurement bias, confounding and ethical issues. Conclusions: The use of current improvement science methods to generate evidence of effectiveness for population-wide interventions is problematic and risks unjustified claims of effectiveness, inefficient resource use and harm to those not offered alternative effective interventions. Newer methodological approaches offer alternatives and should be more widely considered

Pilot study linking primary care records to Census, cardiovascular hospitalization and mortality data in Scotland: feasibility, utility and potential

Background There are substantial ethnic variations in the risk of cardiovascular disease (CVD)-related hospitalization and mortality in Scotland. We piloted extracting and linking primary care risk factors to Scottish Census and health data, to test the feasibility of further investigating these variations.Methods Data extracted from 10 general practices were linked at individual level to Census and hospitalization/death records. Linkage rates, reasons for non-linkage and completeness of primary care data were examined. CVD relative risks were calculated, adjusting for age, socioeconomic status and primary care-derived risk factors.Results Practice enrolment and data extraction proved challenging. Primary care records for 52 975 (55.2%) people were linked to Census data. Completeness and validity of risk variables were similar across ethnic groups. A total of 48 325 (91.2%) records had a valid smoking status recorded and 2900 (5.5%) people had a primary care record of diabetes. Ethnic-specific adjusted estimates of CVD risk were plausible and consistent with previous work.Conclusions Risk factor data extracted from primary care were of good quality and successfully linked to national Census records. Given further methodological refinement, this method illustrates the potential value of linkage using national primary care datasets to contribute to public health surveillance and research.<br/

The impact of maternal smoking on early childhood health: a retrospective cohort linked dataset analysis of 697,003 children born in Scotland 1997-2009

Objective: Smoking during pregnancy is associated with adverse health impacts on mother and child. We used a large linked Scottish dataset to produce contemporary estimates of the impact on child health, particularly hospitalisation. Design: Retrospective cohort study linking birth, death, maternity, infant health, child health surveillance and admission records. We examined the association between smoking status at maternity booking and pregnancy outcomes, hospital admission and death during the first 5 years of life. Models were adjusted for maternal age, socioeconomic status, infant feeding, country of birth, sex, parity and delivery mode. We calculated population attributable fraction (PAF) for each outcome. Setting: Scotland, UK. Participants: Singleton births between 1997 and 2009 (n=697 003) followed to March 2012. Results: 332 386 children had at least one admission by 31 March 2012. There were 56 588 born small for gestational age, 40 492 prematurely and 1074 postneonatal deaths. Within the first 5 years of life, 56 615 children had at least one admission for acute respiratory infections, 24 088 for bronchiolitis and 7549 for asthma. Maternal smoking significantly increased admission for acute respiratory infections (adjusted HR 1.29, 95% CI 1.25 to 1.34, PAF 6.7%) and bronchiolitis (HR 1.43, 95% CI 1.38 to 1.48 under 1 year, PAF 10.1%), asthma (HR 1.29, 95% CI 1.22 to 1.37 age 1–5 years, PAF 7.1%) and bacterial meningitis (HR 1.49, 95% CI 1.30 to 1.71, PAF 11.8%) age 0–5 years. Neonatal mortality (adjusted OR 1.32, 95% CI 1.17 to 1.49, PAF 6.7%), postneonatal mortality (OR 2.18, 95% CI 1.87 to 2.53, PAF 22.3%), small for gestational age (OR 2.67, 95% CI 2.62 to 2.73, PAF 27.5%) and prematurity (OR 1.41, 95% CI 1.37 to 1.44, PAF 8.8%) were higher among the offspring of smokers. Conclusion: Smoking during pregnancy causes significant ill health and death among children born in Scotland. These findings support continued investment to reduce smoking among women before, during and after pregnancy as 50% of women will go on to have further children

Ethnic differences in Glycaemic control in people with type 2 diabetes mellitus living in Scotland

Background and Aims: Previous studies have investigated the association between ethnicity and processes of care and intermediate outcomes of diabetes, but there are limited population-based studies available. The aim of this study was to use population-based data to investigate the relationships between ethnicity and glycaemic control in men and women with diabetes mellitus living in Scotland.&lt;p&gt;&lt;/p&gt; Methods: We used a 2008 extract from the population-based national electronic diabetes database of Scotland. The association between ethnicity with mean glycaemic control in type 2 diabetes mellitus was examined in a retrospective cohort study, including adjustment for a number of variables including age, sex, socioeconomic status, body mass index (BMI), prescribed treatment and duration of diabetes.&lt;p&gt;&lt;/p&gt; Results: Complete data for analyses were available for 56,333 White Scottish adults, 2,535 Pakistanis, 857 Indians, 427 Chinese and 223 African-Caribbeans. All other ethnic groups had significantly (p&#60;0.05) greater proportions of people with suboptimal glycaemic control (HbA1c &#62;58 mmol/mol, 7.5%) compared to the White Scottish group, despite generally younger mean age and lower BMI. Fully adjusted odds ratios for suboptimal glycaemic control were significantly higher among Pakistanis and Indians (1.85, 95% CI: 1.68–2.04, and 1.62,95% CI: 1.38–1.89) respectively.&lt;p&gt;&lt;/p&gt; Conclusions: Pakistanis and Indians with type 2 diabetes mellitus were more likely to have suboptimal glycaemic control than the white Scottish population. Further research on health services and self-management are needed to understand the association between ethnicity and glycaemic control to address ethnic disparities in glycaemic control.&lt;p&gt;&lt;/p&gt

Perinatal risks in female cancer survivors: a population-based analysis

<div><p>Background/objectives</p><p>Advances in cancer management have resulted in improved survival rates, particularly in children and young adults. However, treatment may adversely affect reproductive outcomes among female cancer survivors. The objective of this study was to investigate their risk of adverse perinatal outcomes compared to the general population.</p><p>Design/methods</p><p>We performed a population-based analysis, including all female cancer survivors diagnosed before the age of 40 years between 1981 and 2012. Pregnancy and perinatal complications were identified through linkage of the Scottish Cancer Registry with hospital discharge records based on the Community Health Index (CHI) database. We compared 1,629 female cancer survivors with a first ever singleton pregnancy after diagnosis, with controls matched on age, deprivation quintile, and year of cancer diagnosis selected from the general population (n = 8,899). Relative risks and 95%-confidence intervals of perinatal risks were calculated using log-binomial regression.</p><p>Results</p><p>Survivors were more likely to give birth before 37 weeks of gestation (relative risk (RR]) 1.32, 95%-CI 1.10–1.59), but did not show an increased risk of low birth weight (<2.5kg: RR 1.15, 95%-CI 0.94–1.39), and were less likely to give birth to offspring small for gestational age (RR 0.81, 95%-CI 0.68–0.98). Operative delivery and postpartum haemorrhage were more common but approached rates in controls with more recent diagnosis. The risk of congenital abnormalities was not increased (RR 1.01, 95%-CI 0.85–1.20).</p><p>Conclusion</p><p>Cancer survivors have an increased risk of premature delivery and postpartum haemorrhage, but their offspring are not at increased risk for low birth weight or congenital abnormalities. In recent decades there has been a normalisation of delivery method in cancer survivors, nevertheless careful management remains appropriate particularly for those diagnosed in childhood.</p></div

Incidence of Hospitalization for Heart Failure and Case-Fatality Among 3.25 Million People With and Without Diabetes Mellitus

Background: Recent clinical trials of new glucose-lowering treatments have drawn attention to the importance of hospitalisation for heart failure as a complication of diabetes. However, the epidemiology is not well described, particularly for type 1 diabetes. We examined the incidence and case-fatality of heart failure hospitalisations in the entire population aged 30 and older resident in Scotland during 2004 to 2013. Methods: Date and type of diabetes diagnosis were linked to heart failure hospitalisations and deaths using the national Scottish registers. Incidence rates and case-fatality were estimated in regression models (quasi-Poisson and logistic regression respectively). All estimates are adjusted for age, sex, socio-economic status and calendar-year. Results: Over the 10-year period of the study, among 3.25 million people there were 91,429, 22,959 and 1,313 incident heart failure events among those without diabetes, with type 2, and type 1 diabetes respectively. The crude incidence rates of heart failure hospitalisation were therefore 2.4, 12.4 and 5.6 per 1000 person-years for these three groups. Heart failure hospitalisation incidence was higher in people with diabetes, regardless of type, than in people without. Relative differences were smallest for older men, in whom the difference was nonetheless large (men aged 80, rate ratio 1.78; 95% CI 1.45 to 2.19). Rates declined similarly, by 0.2% per calendar-year, in people with type 2 diabetes and without diabetes. Rates fell faster, however, in those with type 1 diabetes (2.2% per calendar-year, RR for type 1/calendar-year interaction 0.978; 95% CI 0.959 to 0.998). 30-day case-fatality was similar among people with type 2 diabetes and without diabetes, but was higher in type 1 diabetes for men (OR 0.96; 95% CI 0.95 to 0.96) and women (OR 0.98; 95% CI 0.97 to 0.98). Case-fatality declined over time for all groups (3.3% per calendar-year, OR per calendar-year 0.967; 95% CI 0.961 to 0.973). Conclusions: Despite falling incidence, particularly in type 1 diabetes, heart failure remains around 2-fold higher than in people without diabetes, with higher case-fatality in those with type 1 diabetes. These findings support the view that heart failure is an under-recognised and important complication in diabetes, particularly for type 1 disease

How have changes in death by cause and age group contributed to the recent stalling of life expectancy gains in Scotland? Comparative decomposition analysis of mortality data, 2000–2002 to 2015–2017

Objective: Annual gains in life expectancy in Scotland were slower in recent years than in the previous two decades. This analysis investigates how deaths in different age groups and from different causes have contributed to annual average change in life expectancy across two time periods: 2000–2002 to 2012–2014 and 2012–2014 to 2015–2017. Setting Scotland. Methods: Life expectancy at birth was calculated from death and population counts, disaggregated by 5 year age group and by underlying cause of death. Arriaga’s method of life expectancy decomposition was applied to produce estimates of the contribution of different age groups and underlying causes to changes in life expectancy at birth for the two periods. Results: Annualised gains in life expectancy between 2012–2014 and 2015–2017 were markedly smaller than in the earlier period. Almost all age groups saw worsening mortality trends, which deteriorated for most cause of death groups between 2012–2014 and 2015–2017. In particular, the previously observed substantial life expectancy gains due to reductions in mortality from circulatory causes, which most benefited those aged 55–84 years, more than halved. Mortality rates for those aged 30–54 years and 90+ years worsened, due in large part to increases in drug-related deaths, and dementia and Alzheimer’s disease, respectively. Conclusion: Future research should seek to explain the changes in mortality trends for all age groups and causes. More investigation is required to establish to what extent shortcomings in the social security system and public services may be contributing to the adverse trends and preventing mitigation of the impact of other contributing factors, such as influenza outbreaks

Myocardial infarction incidence and survival by ethnic group:Scottish Health and Ethnicity Linkage retrospective cohort study

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