Screening families of patients with premature coronary heart disease to identify avoidable cardiovascular risk: a cross-sectional study of family members and a general population comparison group

<b>Background:</b> Primary prevention should be targeted at individuals with high global cardiovascular risk, but research is lacking on how best to identify such individuals in the general population. Family history is a good proxy measure of global risk and may provide an efficient mechanism for identifying high risk individuals. The aim was to test the feasibility of using patients with premature cardiovascular disease to recruit family members as a means of identifying and screening high-risk individuals. <b>Findings:</b> We recruited family members of 50 patients attending a cardiology clinic for premature coronary heart disease (CHD). We compared their cardiovascular risk with a general population control group, and determined their perception of their risk and current level of screening. 103 (36%) family members attended screening (27 siblings, 48 adult offspring and 28 partners). Five (5%) had prevalent CHD. A significantly higher percentage had an ASSIGN risk score >20% compared with the general population (13% versus 2%, p < 0.001). Only 37% of family members were aware they were at increased risk and only 50% had had their blood pressure and serum cholesterol level checked in the previous three years. <b>Conclusions:</b> Patients attending hospital for premature CHD provide a mechanism to contact family members and this can identify individuals with a high global risk who are not currently screened

A methodology for small area prevalence estimation based on survey data

Background: Brazil conducts many health surveys to provide estimates by national level, macro-regions, states, metropolitan regions and capitals. However, estimates for smaller areas are lacking due to their high cost. The Health Vulnerability Index (in Portuguese, Índice de Vulnerabilidade em Saúde, IVS) is a measure that combines socioeconomic and environmental variables in the same indicator and allows for the analysis of the characteristics of population groups residing in census tracts, grouping them into four health risk areas (low, medium, high and very high risk) in addition to showing inequalities in the epidemiological profile of different social groups. This index was developed by the Municipal Health Secretariat of Belo Horizonte to guide health planning. Objective: The aim of the study is to produce a methodology for obtaining reliable estimates for tobacco smoking in small areas for which the IVS was not designed. Methods: The Vigitel dataset from 2006 to 2013 was used to obtain estimates of the prevalence of smokers based on the IVS employing small area estimation methods that use data from a larger domain to obtain estimates in smaller areas. For indirect estimates, the covariates included were sanitation, housing, education, income, and social and health factors. Post-stratification weights were used according to the IVS based on the population of the 2010 census. Results: From 2006 to 2009, 16.2% (95% CI: 13.6–14.8%) of the adult population in Belo Horizonte were smokers, and 14.8% (95% CI: 14.0–15.6%) were smokers between 2010 and 2013. The very high-risk population maintained a high prevalence over the same period of 21.1% (95% CI: 17.1–25.0%) between 2006 and 2009 and 20.8% (95% CI: 17.0–24.6%) between 2010 and 2013, while in the low-risk group, the prevalence in the same period fell from 14.9% (95% CI: 13.7–16.2%) to 11.8% (95% CI, 10.6–13.1%). Conclusions: The present study identified differences in the profile of smokers by the IVS in the city of Belo Horizonte. While the smoking prevalence declined in richer areas, it remained high in poor areas. This methodology can be used to produce reliable estimates for subgroups with greater vulnerability in small areas and thus subsidize the formulation, monitoring and evaluation of public health policies and programmes aimed at smoking

Socio-economic inequalities in rates of amenable mortality in Scotland: Analyses of the fundamental causes using the Scottish Longitudinal Study, 1991-2010

Socio‐economic inequalities in amenable mortality rates are increasing across Europe, which is an affront to universal healthcare systems where the numbers of, and inequalities in, amenable deaths should be minimal and declining over time. However, the fundamental causes theory proposes that inequalities in health will be largest across preventable causes, where unequally distributed resources can be used to gain an advantage. Information on individual‐level inequalities that may better reflect the fundamental causes remains limited. We used the Scottish Longitudinal Study, with follow‐up to 2010 to examine trends in amenable mortality by a range of socio‐economic position measures. Large inequalities were found for all measures of socio‐economic position and were lowest for educational attainment, higher for social class and highest for social connection. To reduce inequalities, amenable mortality needs to be interpreted both as an indicator of healthcare quality and as a reflection of the unequal distribution of socio‐economic resources

Low serum cortisol predicts early death following acute myocardial infarction

<b>Objective</b>: Low serum cortisol concentrations have been associated with adverse prognosis in critical illness of diverse aetiology. We aimed to determine whether low serum cortisol concentrations are associated with adverse prognosis in patients with acute myocardial infarction. <b>Design</b>: Nested case-control study. <b>Setting</b>: Prospective cohort study of consecutive patients admitted with acute myocardial infarction to 9 Scottish hospitals. <b>Patients</b>: 100 patients who survived 30 days (controls) and 100 patients who died within 30 days (cases). <b>Measurements and Main Results</b>: Admission cortisol concentrations were lower in patients who died than those who survived (median 1,189 versus 1,355 nmol/L, p<0.001). A cortisol concentration in the bottom quartile (<1,136 nmol/L) was a strong predictor of death within 30 days, and remained so after adjustment for age and cardiac troponin concentration (adjusted OR 8.78, 95% CI 3.09-24.96, p<0.001). <b>Conclusions</b>: Patients who mount a lesser cortisol stress response to acute myocardial infarction have a poorer early prognosis

Indicadores de doenças crônicas não transmíssiveis em mulheres com idade reprodutiva, beneficiárias e não beneficiárias do Programa Bolsa Família [Indicators of noncommunicable diseases in women of reproductive age that are beneficiaries and non-beneficiaries of Bolsa Família]

Objective: To evaluate the prevalence of noncommunicable disease (NCD) indicators, including laboratory tests, in the population of Brazilian women of reproductive age, according to whether or not they receive the Bolsa Família (BF) benefit. Methods: A total of 3,131 women aged 18 to 49 years old who participated in the National Health Survey (Pesquisa Nacional de Saúde ) laboratory examination sub-sample were considered. We compared indicators among women of reproductive age (18 to 49 years old) who reported receiving BFor not, and calculated prevalence and confidence intervals, using Pearson’s χ2. Results: Women of reproductive age who were beneficiaries of BF had worse health outcomes, such as a greater occurrence of being overweight (33.5%) and obese (26.9%) (p < 0.001), having hypertension (13.4% versus 4.4%, p < 0.001), used more tobacco (11.2% versus 8.2%, p = 0.029), and perceived their health as worse (6.2% versus 2.4%, p < 0.001). Conclusion: Several NCD indicators were worse among women of childbearing age who were beneficiaries of BF. It should be emphasized that this is not a causal relationship, with BF being a marker of inequalities among women. The benefit has been directed to the population with greater health needs, and seeks to reduce inequities

Implementation of a national smoke-free prison policy: an economic evaluation within the Tobacco in Prisons (TIPs) study

Objective To determine the cost-effectiveness of a smoke-free prison policy in Scotland, through assessments of the trade-offs between costs (healthcare and non-healthcare-related expenditure) and outcomes (health and non-health-related non-monetary consequences) of implementing the policy. Design A health economic evaluation consisting of three analyses (cost-consequence, cost-effectiveness and cost-utility), from the perspectives of the healthcare payer, prison service, people in custody and operational staff, assessed the trade-offs between costs and outcomes. Costs associated with the implementation of the policy, healthcare resource use and personal spend on nicotine products were considered, alongside health and non-health outcomes. The cost-effectiveness of the policy was evaluated over 12-month and lifetime horizons (short term and long term). Setting Scotland’s national prison estate. Participants People in custody and operational prison staff. Intervention Implementation of a comprehensive (indoor and outdoor) smoke-free policy. Main outcome measures Concentration of secondhand smoke, health-related quality of life (health utilities and quality-adjusted life-years (QALY)) and various non-health outcomes (eg, incidents of assaults and fires). Results The short-term analyses suggest cost savings for people in custody and staff, improvements in concentration of secondhand smoke, with no consistent direction of change across other outcomes. The long-term analysis demonstrated that implementing smoke-free policy was cost-effective over a lifetime for people in custody and staff, with approximate cost savings of £28 000 and £450, respectively, and improvement in health-related quality of life of 0.971 QALYs and 0.262, respectively. Conclusion Implementing a smoke-free prison policy is cost-effective over the short term and long term for people in custody and staff.Output Status: Forthcoming/Available Onlin

Smoke-free prison policy development, implementation, and impact across the entire national prison service in Scotland (TIPs study): a three-phase, mixed methods natural experimental evaluation

Background: Prisons had partial exemption from UK 2006–07 policies banning smoking in enclosed public spaces, becoming one of few workplaces with continued exposure to second-hand smoke (SHS). Although bans have been introduced elsewhere, evidence of the process and impact of implementing smoke-free prisons is sparse. We aimed to provide evidence on the process and impact of implementation of smoke-free policy across the national prison service in Scotland. Methods: The Tobacco in Prisons study (TIPs) is a three-phase, mixed-methods study exploring the periods before policy formulation (phase 1; September 2016–July 2017), during preparation for implementation (phase 2; August 2017–November 2018), and after implementation (phase 3; December 2018–May 2020). Data on SHS, health, smoking, beliefs (eg, smoking or e-cigarettes, desirability, benefits, and challenges of smoke-free policy) were gathered across all 15 Scottish prisons through: (1) staff and prisoner surveys, staff focus groups (phases 1 and 3), and cessation provider interviews; (2) SHS measures (fine particulate matter, PM2·5, using Dylos DC1700 monitors) before, during (week commencing Nov 28, 2018), and 6 months after (week commencing May 27, 2019) implementation on Nov 30, 2018. In six case-study prisons, in-depth interviews were carried out with prisoners, staff, and smoking cessation providers. We also accessed routine data (eg, sickness absence, “canteen” purchases of tobacco and other products) to assess policy impacts. Ethics approval was granted by SPS Research Access and Ethics Committee and University of Glasgow. Participants provided written informed consent. Findings: Phase 1 data showed high prisoner smoking rates (1858 [74%] of 2505 responders), confirmed by SHS measures (128 431 min of PM2.5 data, median 31·7 μg/m3), and concerns about the challenges of smoke-free policy (eg, 1954 [81%] of 2407 prisoners and 737 [58%] of 1269 staff thought smoking bans caused “trouble”). Compared with 2016, air quality improved in all prisons in 2018 (114 303 min of PM2.5 data) with an overall median reduction on the first full working weekday after implementation (Dec 3, 2018) of –81% (IQR –76 to –91). SHS measures collected 6 months after implementation (126 777 min of PM2·5 data) showed sustained improvement (median 3·1 μg/m3, overall median reduction –91% (IQR –88 to –93%)). Reasons for success and continuing challenges of smoke-free prison policy will be discussed. Interpretation: This evaluation of the development, planning, implementation, and impact of smoke-free prison policy demonstrates the importance of research evidence during policy implementation and, as a study of an entire national prison service, provides new evidence for other jurisdictions contemplating bans on smoking in prisons

Evaluation of a national smoke-free prisons policy using medication dispensing: an interrupted time-series analysis

Background Internationally, smoking prevalence among people in prison custody (ie, people on remand awaiting trial, awaiting sentencing, or serving a custodial sentence) is high. In Scotland, all prisons implemented a comprehensive smoke-free policy in 2018 after a 16-month anticipatory period. In this study, we aimed to use data on medication dispensing to assess the impact of this policy on cessation support, health outcomes, and potential unintended consequences among people in prison custody. Methods We did an interrupted time-series analysis using dispensing data for 44 660 individuals incarcerated in 14 closed prisons in Scotland between March 30, 2014, and Nov 30, 2019. We estimated changes in dispensing rates associated with the policy announcement (July 17, 2017) and full implementation (Nov 30, 2018) using seasonal autoregressive integrated moving average models. Medication categories of primary interest were treatments for nicotine dependence (as an indicator of smoking cessation or abstinence attempts), acute smoking-associated illnesses, and mental health (antidepressants). We included antiepileptic medications as a negative control. Findings A 44% step increase in dispensing of treatments for nicotine dependence was observed at implementation (2250 items per 1000 people in custody per fortnight, 95% CI 1875 to 2624) due primarily to a 42% increase in dispensing of nicotine replacement therapy (2109 items per 1000 people in custody per fortnight, 1701 to 2516). A 9% step decrease in dispensing for smoking-related illnesses was observed at implementation, largely accounted for by respiratory medications (−646 items per 1000 people in custody per fortnight, −1111 to −181). No changes associated with announcement or implementation were observed for mental health dispensing or antiepileptic medications (control). Interpretation Smoke-free prison policies might improve respiratory health among people in custody and encourage smoking abstinence or cessation without apparent short-term adverse effects on mental health dispensing