Socioeconomic inequality in medication persistence in primary and secondary prevention of coronary heart disease - A population-wide electronic cohort study.

BACKGROUND: Coronary heart disease (CHD) mortality in England fell by 36% between 2000 and 2007 and it is estimated that approximately 50% of the fall was due to improved treatment uptake. Marked socio-economic inequalities in CHD mortality in the United Kingdom (UK) remain, with higher age-adjusted rates in more deprived groups. Inequalities in the persistence of medication for primary and secondary prevention of CHD may contribute to the observed social gradient and we investigated this possibility in the population of Wales (UK). METHODS AND FINDINGS: An electronic cohort of individuals aged over 20 (n = 1,199,342) in Wales (UK) was formed using linked data from primary and secondary care and followed for six years (2004-2010). We identified indications for medication (statins, aspirin, ACE inhibitors, clopidogrel) recommended in UK National Institute for Clinical Excellence (NICE) guidance for CHD (high risk, stable angina, stable angina plus diabetes, unstable angina, and myocardial infarction) and measured the persistence of indicated medication (time from initiation to discontinuation) across quintiles of the Welsh Index of Multiple Deprivation, an area-based measure of socio-economic inequality, using Cox regression frailty models. In models adjusted for demographic factors, CHD risk and comorbidities across 15 comparisons for persistence of the medications, none favoured the least deprived quintile, two favoured the most deprived quintile and 13 showed no significant differences. CONCLUSIONS: During our study period (2004-2010) we found no significant evidence of socio-economic inequality in the persistence of recommended medication for primary and secondary prevention of CHD.

Equity in healthcare for coronary heart disease, Wales (UK) 2004-2010: A population-based electronic cohort study.

BACKGROUND: Despite substantial falls in coronary heart disease (CHD) mortality in the United Kingdom (UK), marked socioeconomic inequalities in CHD risk factors and CHD mortality persist. We investigated whether inequity in CHD healthcare in Wales (UK) could contribute to the observed social gradient in CHD mortality. METHODS AND FINDINGS: Linking data from primary and secondary care we constructed an electronic cohort of individuals (n = 1199342) with six year follow-up, 2004-2010. We identified indications for recommended CHD interventions, measured time to their delivery, and estimated risk of receiving the interventions for each of five ordered deprivation groups using a time-to-event approach with Cox regression frailty models. Interventions in primary and secondary prevention included risk-factor measurement, smoking management, statins and antihypertensive therapy, and in established CHD included medication and revascularization. For primary prevention, five of the 11 models favoured the more deprived and one favoured the less deprived. For medication in secondary prevention and established CHD, one of the 15 models favoured the more deprived and one the less deprived. In relation to revascularization, six of the 12 models favoured the less deprived and none favoured the more deprived-this evidence of inequity exemplified by a hazard ratio for revascularization in stable angina of 0.79 (95% confidence interval 0.68, 0.92). The main study limitation is the possibility of under-ascertainment or misclassification of clinical indications and treatment from variability in coding. CONCLUSIONS: Primary care components of CHD healthcare were equitably delivered. Evidence of inequity was found for revascularization procedures, although this inequity is likely to have only a modest effect on social gradients in CHD mortality. Policymakers should focus on reducing inequalities in CHD risk factors, particularly smoking, as these, rather than inequity in healthcare, are likely to be key drivers of inequalities in CHD mortality.

Increased morbidity, mortality and length of in-hospital stay for patients with acute coronary syndrome with pre-morbid psychiatric diagnoses.

BACKGROUND: Psychiatric and cardiac comorbidities form the top two budget categories for health systems in high-income countries with evidence that psychiatric pre-morbidities lead to worse outcomes in patients with acute coronary syndrome (ACS). There are no studies examining this relationship in a national multicentre population level study in the UK, and no studies examining their impact on length of in-hospital stay (LoS) in ACS. Recognizing at-risk populations and reducing LoS in ACS is an essential part of improving patient care and cost-effectiveness. METHODS: We investigated the impact of psychiatric diagnoses on morbidity, all-cause mortality and LoS amongst 57,668 ACS patients between Jan-2004 and Dec-2014 using the Secure-Anonymized-Information-Linkage (SAIL) databank. Demographics, admissions, cardiac and psychiatric comorbidities were identified using coded data. RESULTS: There were a total of 3857 out of 57,668 patients who had a pre-morbid psychiatric diagnosis. The mean LoS in patients without psychiatric comorbidities was 9.78days (95% CI: 9.66-9.91). This was higher (p<0.01) in the presence of any psychiatric diagnosis (14.72), dementia (20.87), schizophrenia (15.67), and mood disorders (13.41). Patients with psychiatric comorbidities had worse net adverse cardiac events (HR 1.18, 95% CI: 1.16-1.21) and mortality rates (HR 1.26, 95% CI: 1.23-1.30). CONCLUSIONS: Our results demonstrate that psychiatric comorbidities have a significant and clinically important impact on morbidity, mortality and LoS in ACS patients in Wales, UK. Clinicians' awareness and active management of psychiatric conditions amongst ACS patients is needed to reduce poor outcomes and LoS and ultimately the risk for patients and financial burden for the health-service.

Severe symptomatic aortic stenosis: medical therapy and transcatheter aortic valve implantation (TAVI)-a real-world retrospective cohort analysis of outcomes and cost-effectiveness using national data.

OBJECTIVES: Determine the real-world difference between 2 groups of patients with severe aortic stenosis and similar baseline comorbidities: surgical turn down (STD) patients, who were managed medically prior to the availability of transcatheter aortic valve implantation (TAVI) following formal surgical outpatient assessment, and patients managed with a TAVI implant. DESIGN: Retrospective cohort study from real-world data. SETTING: Electronic patient letters were searched for patients with a diagnosis of severe aortic stenosis and a formal outpatient STD prior to the availability of TAVI (1999-2009). The second group comprised the first 90 cases of TAVI in South Wales (2009 onwards). 2 years prior to and 5 years following TAVI/STD were assessed. Patient data were pseudoanonymised, using the Secure Anonymized Information Linkage (SAIL) databank, and extracted from Office National Statistics (ONS), Patient-Episode Database for Wales (PEDW) and general practitioner databases. POPULATION: 90 patients who had undergone TAVI in South Wales, and 65 STD patients who were medically managed. MAIN OUTCOME MEASURES: Survival, hospital admission frequency and length of stay, primary care visits, and cost-effectiveness. RESULTS: TAVI patients were significantly older (81.8 vs 79.2), more likely to be male (59.1% vs 49.3%), baseline comorbidities were balanced. Mortality in TAVI versus STD was 28% vs 70% at 1000 days follow-up. There were significantly more hospital admissions per year in the TAVI group prior to TAVI/STD (1.5 (IQR 1.0-2.4) vs 1.0 IQR (0.5-1.5)). Post TAVI/STD, the TAVI group had significantly lower hospital admissions (0.3 (IQR 0.0-1.0) vs 1.2 (IQR 0.7-3.0)) and lengths of stay (0.4 (IQR 0.0-13.8) vs 11.0 (IQR 2.5-28.5), p<0.05). The incremental cost-effectiveness ratio (ICER) for TAVI was £10 533 per quality-adjusted life year (QALY). CONCLUSIONS: TAVI patients were more likely to survive and avoid hospital admissions compared with the medically managed STD group. The ICER for TAVI was £10 533 per QALY, making it a cost-effective procedure.

Epilepsy and deprivation, a data linkage study.

OBJECTIVE: To investigate whether the link between epilepsy and deprivation is due to factors associated with deprivation (social causation) or factors associated with a diagnosis of epilepsy (social drift). METHODS: We reviewed electronic primary health care records from 2004 to 2010, identifying prevalent and incident cases of epilepsy and recording linked deprivation scores. Logistic and Poisson regression models were used to calculate odds ratios and incidence rate ratios. The change in deprivation was measured 10 years after the initial diagnosis of epilepsy for a cohort of people. RESULTS: Between 2004 and 2010, 8.1 million patient-years of records were reviewed. Epilepsy prevalence and incidence were significantly associated with deprivation. Epilepsy prevalence ranged from 1.13% (1.07-1.19%) in the most deprived decile to 0.49% (0.45-0.53%) in the least deprived decile (adjusted odds ratio 0.92, p < 0.001). Epilepsy incidence ranged from 40/100,000 per year in the most deprived decile to 19/100,000 per year in the least deprived decile (adjusted incidence rate ratio 0.94, p < 0.001). There was no statistically significant change in deprivation index decile 10 years after a new diagnosis of epilepsy (mean difference -0.04, p = 0.85). SIGNIFICANCE: Epilepsy prevalence and incidence are strongly associated with deprivation; the deprivation score remains unchanged 10 years after a diagnosis of epilepsy. These findings suggest that increasing rates of epilepsy in deprived areas are more likely explained by social causation than by social drift. The nature of the association between incident epilepsy and social deprivation needs further exploration.

Cohort profile: the housing regeneration and health study.

A cohort comprising residents of a housing regeneration and health programme was created from routinely collected data using a system which allows us to anonymously link housing data to individuals and their health. The regeneration programme incorporating four rolling work packages runs from 2009 to 2014. The main intervention cohort we describe here contains the 18 312 residents of 9051 residences at baseline. The cohort will be followed continuously through routine health data (demographics, mortality, hospital admissions and general practitioner records including prescriptions) with periodic updates of housing regeneration intervention data. Here, we describe the baseline data for the primary health outcomes of emergency hospital admissions for cardiovascular and respiratory conditions and injuries for those aged ≥60 years. We will compare the health of residents within the homes before and after the housing regeneration work has taken place, and we will calculate the change in health service costs with use of hospital and General Practitioners (GP) services. We will also use a difference in differences approach to assess changes in comparison with comparator cohorts. These data will be accessible at the end of the study period in 2016. Further information about this study can be obtained from Ronan Lyons; r.a.lyons@swansea.ac.uk.