Social deprivation and statin prescribing: a cross-sectional analysis using data from the new UK general practitioner ‘Quality and Outcomes Framework’

The association between county-level premature cardiovascular mortality related to cardio-kidney-metabolic disease and the social determinants of health in the US

Cardio-kidney-metabolic (CKM) syndrome is defined by the American Heart Association as the intersection between metabolic, renal and cardiovascular disease. Understanding the contemporary estimates of CKM related mortality and recent trends in the US is essential for developing targeted public interventions. We collected state-level and county-level CKM-associated age-adjusted premature cardiovascular mortality (aaCVM) (2010-2019) rates from the CDC Wide-ranging Online Data for Epidemiologic Research (WONDER). We linked the county-level aaCVM with a multi-component social deprivation metric: the Social Deprivation Index (SDI: range 0-100) and grouped them as follows: I: 0-25, II: 26-50, III: 51-75, and IV: 76-100. We conducted pair-wise comparison of aaCVM between SDI groups with the multiplicity adjusted Wilcoxon test; we compared aaCVM in men versus women, metropolitan versus nonmetropolitan counties, and non-hispanic white versus non-hispanic black residents. In 3101 analyzed counties in the US, the median CKM associated aaCVM was 61 [interquartile range (IQR): 45, 82]/100 000. Mississippi (99/100 000) and Minnesota (33/100 000) had the highest and lowest values respectively. CKM associated aaMR increased across SDI groups [I - 45 (IQR: 36, 55)/100 000, II- 61 (IQR: 49, 77)/100 000, III- 77 (IQR: 61, 94)/100 000, IV- 89 (IQR: 70, 110)/100 000; all pair-wise p-values < 0.001]. Men had higher rates [85 (64, 91)/100 000] than women [41 (28, 58)/100 000](p-value < 0.001), metropolitan counties [54 (40, 72)/100 000] had lower rates than non-metropolitan counties [66 (49, 90)/100 000](p-value < 0.001), and non-Hispanic Black [110 (86, 137)/100 000] had higher aaMR than non-Hispanic White residents [59 (44, 78)/100 000](p-value < 0.001). In the US, CKM mortality remains high and disproportionately occurs in more socially deprived counties and non-metropolitan counties. Our inability to reduce CKM mortality rates over the study period highlights the need for targeted policy interventions to curb the ongoing high burden.

Cross-sectional analysis of educational inequalities in primary prevention statin use in UK Biobank

OBJECTIVE

Identify whether participants with lower education are less likely to report taking statins for primary cardiovascular prevention than those with higher education, but an equivalent increase in underlying cardiovascular risk.

METHODS

Using data from a large prospective cohort study, UK Biobank, we calculated a QRISK3 cardiovascular risk score for 472 097 eligible participants with complete data on self-reported educational attainment and statin use (55% female participants; mean age 56 years). We used logistic regression to explore the association between (i) QRISK3 score and (ii) educational attainment on self-reported statin use. We then stratified the association between QRISK3 score and statin use, by educational attainment to test for interactions.

RESULTS

There was evidence of an interaction between QRISK3 score and educational attainment. Per unit increase in QRISK3 score, more educated individuals were more likely to report taking statins. In women with ≤7 years of schooling, a one unit increase in QRISK3 score was associated with a 7% higher odds of statin use (OR 1.07, 95% CI 1.07 to 1.07). In women with ≥20 years of schooling, a one unit increase in QRISK3 score was associated with an 14% higher odds of statin use (OR 1.14, 95% CI 1.14 to 1.15). Comparable ORs in men were 1.04 (95% CI 1.04 to 1.05) for ≤7 years of schooling and 1.08 (95% CI 1.08, 1.08) for ≥20 years of schooling.

CONCLUSION

Per unit increase in QRISK3 score, individuals with lower educational attainment were less likely to report using statins, likely contributing to health inequalities.

Ethnic differences in guideline-indicated statin initiation for people with type 2 diabetes in UK primary care, 2006-2019: A cohort study

BACKGROUND

Type 2 diabetes is 2-3 times more prevalent in people of South Asian and African/African Caribbean ethnicity than people of European ethnicity living in the UK. The former 2 groups also experience excess atherosclerotic cardiovascular disease (ASCVD) complications of diabetes. We aimed to study ethnic differences in statin initiation, a cornerstone of ASCVD primary prevention, for people with type 2 diabetes.

METHODS AND FINDINGS

Observational cohort study of UK primary care records, from 1 January 2006 to 30 June 2019. Data were studied from 27,511 (88%) people of European ethnicity, 2,386 (8%) people of South Asian ethnicity, and 1,142 (4%) people of African/African Caribbean ethnicity with incident type 2 diabetes, no previous ASCVD, and statin use indicated by guidelines. Statin initiation rates were contrasted by ethnicity, and the number of ASCVD events that could be prevented by equalising prescribing rates across ethnic groups was estimated. Median time to statin initiation was 79, 109, and 84 days for people of European, South Asian, and African/African Caribbean ethnicity, respectively. People of African/African Caribbean ethnicity were a third less likely to receive guideline-indicated statins than European people (n/N [%]: 605/1,142 [53%] and 18,803/27,511 [68%], respectively; age- and gender-adjusted HR 0.67 [95% CI 0.60 to 0.76], p < 0.001). The HR attenuated marginally in a model adjusting for total cholesterol/high-density lipoprotein cholesterol ratio (0.77 [95% CI 0.69 to 0.85], p < 0.001), with no further diminution when deprivation, ASCVD risk factors, comorbidity, polypharmacy, and healthcare usage were accounted for (fully adjusted HR 0.76 [95% CI 0.68, 0.85], p < 0.001). People of South Asian ethnicity were 10% less likely to receive a statin than European people (1,489/2,386 [62%] and 18,803/27,511 [68%], respectively; fully adjusted HR 0.91 [95% CI 0.85 to 0.98], p = 0.008, adjusting for all covariates). We estimated that up to 12,600 ASCVD events could be prevented over the lifetimes of people currently affected by type 2 diabetes in the UK by equalising statin prescribing across ethnic groups. Limitations included incompleteness of recording of routinely collected data.

CONCLUSIONS

In this study we observed that people of African/African Caribbean ethnicity with type 2 diabetes were substantially less likely, and people of South Asian ethnicity marginally less likely, to receive guideline-indicated statins than people of European ethnicity, even after accounting for sociodemographics, healthcare usage, ASCVD risk factors, and comorbidity. Underuse of statins in people of African/African Caribbean or South Asian ethnicity with type 2 diabetes is a missed opportunity to prevent cardiovascular events.

Associations between socioeconomic deprivation and pharmaceutical prescribing in primary care in England

BACKGROUND

Socioeconomic deprivation is associated with health inequality. Previous studies have described associations between primary care prescribing rates and deprivation for individual drugs or drug classes. We explore the correlation between socioeconomic deprivation and the rate of prescribing of individual pharmaceutical drugs, and drug classes, in primary care in England, to identify prescribing inequalities that would require further investigation.

METHODS

In this cross-sectional study, national primary care prescribing data, by primary care practice, were retrieved for the calendar year 2019 in England. Socioeconomic deprivation was quantified using the Index of Multiple Deprivation (IMD) score. Correlations were calculated using Spearman's rank correlation coefficient (ρ), adjusting for practice list size and demographics, with a Bonferroni-corrected p value threshold of 5×10^-5.

RESULTS

We included 1.05 billion prescription items dispensed from 6896 England practices. 142/206 (69%) drug classes and 505/774 (65%) drugs were significantly correlated with IMD score (p<5×10^-5). Of the 774 included drugs, 31 (4%) were moderately positively associated with IMD score (ρ>0.4). Only one was moderately negatively correlated with IMD score (ρ<-0.4), suggesting higher prescribing rates in more affluent areas. The drug classes most strongly associated with IMD score included opioid and non-opioid analgesics, antipsychotics and reflux medications. Drug classes most strongly associated with affluence included epinephrine, combined oral contraceptives and hormone replacement therapy.

CONCLUSION

We identify novel associations of prescribing with deprivation. Further work is required to identify the underlying reasons for these associations so that appropriate interventions can be formulated to address drivers of inequality.

A retrospective database study of oral corticosteroid and bisphosphonate prescribing patterns in England

Exposure to oral corticosteroids (OCS) is associated with an increased risk of osteoporosis and fragility fractures. Guidelines suggest bisphosphonate (BP) therapy as the first-line treatment of glucocorticoid-induced osteoporosis (GIOP). This population study used publicly available data, including prescription annual cost analysis and monthly practice-level data. Our aim was to examine the prescribing of OCS and BP at practice level and investigate reasons for variation using a mixed-effect negative binomial regression analysis. There was a rise in OCS and BP prescriptions of 55% and 1200% from 1998 to 2018, respectively. Of the 6586 included practices, the median (IQR) of OCS and BP prescriptions were 120.8 (84.8-160.4) and 107.7 (73.8-147.4) per 1000 patients, respectively. Asthma and chronic obstructive pulmonary disease (COPD) were significantly associated with OCS use (p < 0.0001), but only COPD was associated with BP use (p < 0.0001). Higher OCS prescribing rates were associated with higher BP prescribing rates (5th to 1st quintile-IRR = 1.99; 95% CI: 1.88-2.10). Practice list size, deprivation and advanced age were all associated with both drugs (p < 0.0001). In conclusion, although OCS use is positively associated with BP prescription, variation among practices and CCGs exists. The variation in prescribing suggests there is still a need to improve GIOP prevention.

Sustained Socioeconomic Inequalities in Hospital Admissions for Cardiovascular Events Among People with Diabetes in England

PURPOSE

This study aimed to determine changes in absolute and relative socioeconomic inequalities in hospital admissions for major cardiovascular causes among patients with diabetes in England.

METHODS

We identified all patients with diabetes aged ≥45 years admitted to the hospital in England between 2004-2005 and 2014-2015 for acute myocardial infarction, stroke, percutaneous coronary intervention, or coronary artery bypass graft. We measured socioeconomic status using the Index of Multiple Deprivation. Diabetes-specific admission rates were calculated for each year by deprivation quintile. We assessed temporal changes using negative binomial regression models.

RESULTS

Most admissions occurred among patients aged ≥65 years (71%) and men (63.3%). The number of admissions increased steadily from the least quintile to the most deprived quintile. Patients in the most deprived quintile had a 1.94-fold increased risk of acute myocardial infarction (95% confidence interval [CI], 1.79-2.10), 1.92-fold increased risk of stroke (95% CI, 1.78-2.07), 1.66-fold increased risk of coronary artery bypass graft (95% CI, 1.50-1.74), and 1.76-fold increased risk of percutaneous coronary intervention (95% CI, 1.64-1.89) compared with the least deprived group. Absolute differences in rates between the least and most deprived quintiles did not change significantly for acute myocardial infarction (P = .29) and were reduced for stroke, coronary artery bypass graft, and percutaneous coronary intervention (by 17.5, 15, and 11.8 per 100,000 patients with diabetes, respectively, P ≤ .01 for all).

CONCLUSIONS

Socioeconomic inequalities persist in diabetes-related hospital admissions for major cardiovascular events in England. Besides improved risk stratification strategies that consider socioeconomically defined needs, wide-reaching population-based policy interventions are required to reduce inequalities in diabetes outcomes.

Variation in anticoagulation for atrial fibrillation between English clinical commissioning groups: an observational study

BACKGROUND

Despite improvement in anticoagulation for atrial fibrillation (AF), substantial variation in anticoagulation persists between clinical commissioning groups (CCGs) and regions in England.

AIM

To identify reasons for variation between English CCGs in anticoagulation for AF.

DESIGN AND SETTING

A 4-year observational study from 2012/2013 to 2015/2016, of the national Quality and Outcomes Framework.

METHOD

Multiple regression and Pearson's correlation coefficients were used to analyse anticoagulation for AF in relation to older age, Index of Multiple Deprivation, prescription of non-vitamin K antagonist oral anticoagulants (NOACs), and exception reporting, as well as stroke hospital admission and mortality.

RESULTS

The proportion of eligible patients in England prescribed anticoagulants for AF without exceptions for clinical complexity or patient dissent increased from 65.1% in 2012/2013 to 77.9% in 2015/2016. In 2015, 290 920 additional eligible people were anticoagulated in association with use of the CHA₂DS₂VASc rather than CHADS₂ score. From 2012 to 2015, exception reporting almost halved from 20% to 10.2%. Variation in CCG anticoagulation was not associated with deprivation or NOAC use. There was a strong negative association between exception reporting representing patient complexity and anticoagulation performance, accounting for 57% of the variation in anticoagulation without exceptions (multiple regression coefficient = -0.81; 95% confidence intervals = -0.92 to -0.71; P<0.001).

CONCLUSION

Anticoagulation for AF has improved substantially in England in association with considerable increases in the eligible population as a result of decreased exception reporting and the use of the CHA₂DS₂VASc score. There is still substantial room for improvement in most CCGs because, even allowing for exceptions, nine out of 10 CCGs failed to achieve 90% anticoagulation.

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.

Prescriptive variability of drugs by general practitioners

Prescription drug spending is growing faster than any other sector of healthcare. However, very little is known about patterns of prescribing and cost of prescribing between general practices. In this study, we examined variation in prescription rates and prescription costs through time for 55 GP surgeries in Northern Ireland Western Health and Social Care Trust. Temporal changes in variability of prescribing rates and costs were assessed using the Mann–Kendall test. Outlier practices contributing to between practice variation in prescribing rates were identified with the interquartile range outlier detection method. The relationship between rates and cost of prescribing was explored with Spearman's statistics. The differences in variability and mean number of prescribing rates associated with the practice setting and socioeconomic deprivation were tested using t-test and F-test respectively. The largest between-practice difference in prescribing rates was observed for Apr-Jun 2015, with the number of prescriptions ranging from 3.34 to 8.36 per patient. We showed that practices with outlier prescribing rates greatly contributed to between-practice variability. The largest difference in prescribing costs was reported for Apr-Jun 2014, with the prescription cost per patient ranging from £26.4 to £64.5. In addition, the temporal changes in variability of prescribing rates and costs were shown to undergo an upward trend. We demonstrated that practice setting and socio-economic deprivation accounted for some of the between-practice variation in prescribing. Rural practices had higher between practice variability than urban practices at all time points. Practices situated in more deprived areas had higher prescribing rates but lower variability than those located in less deprived areas. Further analysis is recommended to assess if variation in prescribing can be explained by demographic characteristics of patient population and practice features. Identification of other factors contributing to prescribing variability can help us better address potential inappropriateness of prescribing.

Clinical and Demographic Characteristics Associated With Suboptimal Primary Stroke and Transient Ischemic Attack Prevention: Retrospective Analysis

BACKGROUND AND PURPOSE

Primary prevention of stroke and transient ischemic attack (TIA) is important to reduce the burden of these conditions; however, prescribing of prevention drugs is suboptimal. We aimed to identify individual clinical and demographic characteristics associated with potential missed opportunities for prevention therapy with lipid-lowering, anticoagulant, or antihypertensive drugs before stroke/TIA.

METHODS

We analyzed anonymized electronic primary care records from a UK primary care database that covers 561 family practices. Patients with first-ever stroke/TIA, ≥18 years, with diagnosis between January 1, 2009, and December 31, 2013, were included. Missed opportunities for prevention were defined as people with clinical indications for lipid-lowering, anticoagulant, or antihypertensive drugs but not prescribed these drugs before their stroke/TIA. Mixed-effect logistic regression models evaluated the relationship between missed opportunities and individual clinical/demographic characteristics.

RESULTS

The inclusion criteria were met by 29 043 people with stroke/TIA. Patients with coronary heart disease, chronic kidney disease, peripheral arterial disease, or diabetes mellitus were at less risk of a missed opportunity for prescription of lipid-lowering and antihypertensive drugs. However, patients with a 10-year cardiovascular disease risk ≥20% but without these diagnoses had increased risk of having a missed opportunity for prescription of lipid-lowering drugs or antihypertensive drugs. Women were less likely to be prescribed anticoagulants but more likely to be prescribed antihypertensive drugs. The elderly (≥85 years of age) were less likely to be prescribed all 3 prevention drugs, compared with people aged 75 to 79 years.

CONCLUSIONS

Knowing the patient characteristics predictive of missed opportunities for stroke prevention may help primary care identify and appropriately manage these patients. Improving the management of these groups may reduce their risk and potentially prevent large number of future strokes and TIAs in the population.

The role of spoken language in cardiovascular health inequalities: a cross-sectional study of people with non-English language preference

BACKGROUND

Socioeconomic and ethnic factors are established determinants of cardiovascular health inequalities. The role of low proficiency in the majority language as a mediator of these inequalities is uncertain.

AIM

This study aimed to investigate the association between non-English language preference and cardiovascular health inequalities in a community in London.

DESIGN & SETTING

Retrospective, cross-sectional analysis of anonymised patient-level data collected from general practices in Lambeth, south London.

METHOD

Cardiovascular disease prevalence, monitoring, and risk-identification data were compared between non-English and English language groups using multiple logistic regression.

RESULTS

Of the total number of patients registered at the 49 participating practices, 302 404 (83%) patients were aged ≥18 years. Preferred language was recorded by 69.4%: English 53.6%, Portuguese 3.2%, Spanish 2.6%, French 1.6%, Polish 1.4%, Somali 0.5%, and others 7.1%; 30.6% had no record of language preference. The non-English language preference group had a greater likelihood of coronary heart disease ([CHD], odds ratio [OR] 1.18, 95% confidence interval [CI] = 1.03 to 1.34); diabetes mellitus ([DM], OR = 1.33, 95% CI = 1.23 to 1.43); obesity (OR = 1.08, 95% CI = 1.04 to 1.13); and smoking (OR = 1.18, 95% CI = 1.14 to 1.21), but no difference in the prevalence of hypertension or stroke. Cardiovascular monitoring was not less intense in this group. Portuguese-speakers (the largest non-English language preference group) had a greater likelihood of hypertension (OR = 1.43, 95% CI = 1.30 to 1.57); DM (OR = 1.74, 95% CI = 1.50 to 2.02); stroke (OR = 1.40, 95% CI = 1.08 to 1.81); obesity (OR = 1.53, 95% CI = 1.36 to 1.73); and smoking (OR = 1.13, 95% CI = 1.02 to 1.25).

CONCLUSION

The non-English language preference group was associated with a greater risk of some aspects of cardiovascular disease than the English language preference group, probably reflecting shared cultural and behavioural risk. Non-English language preference was not associated with lower rates of cardiovascular monitoring, providing some evidence of equitable primary care access in this group.

Predictors of cholesterol treatment discussions and statin prescribing for primary cardiovascular disease prevention in community health centers

BACKGROUND

Although cholesterol guidelines emphasize cardiovascular disease (CVD) risk to guide primary prevention, predictors of statin use in practice are unknown. We aimed to identify factors associated with a cholesterol treatment discussion and statin prescribing in a high-risk population.

METHODS

We used data from a trial conducted among participants in community health centers without CVD or diabetes and a 10-year coronary heart disease (CHD) risk≥10%. Cholesterol treatment discussion was assessed at 6months and statin prescription at 1year. We used logistic regressions to identify factors associated with each outcome.

RESULTS

We analyzed 646 participants (89% male, mean age 60±9.5years). Cholesterol treatment discussion occurred in 19% and statin prescription in 12% of participants. Ten-year CHD risk was not associated with treatment discussion (OR 1.11 per 1 SD increase, 95% CI 0.91-1.33) but was associated with statin prescription (OR 1.41 per 1 SD increase, 95% CI 1.13-1.75) in unadjusted models. After adjusting for traditional CVD risk factors that contribute to CHD risk, low-density lipoprotein cholesterol (LDL-C) was independently associated with statin prescription (OR 1.82 per 1 SD increase, 95% CI 1.66-1.99). Antihypertensive medication use was independently associated with both cholesterol treatment discussion (OR 3.68, 95% CI 2.35-5.75) and statin prescription (OR 3.98, 95% CI 3.30-4.81). Other drivers of CVD risk (age, smoking, and systolic blood pressure) were not associated with statin use.

CONCLUSIONS

Single risk factor management strongly influences cholesterol treatment discussions and statin prescribing patterns. Interventions that promote risk-based statin utilization are needed.

TRIAL REGISTRATION

Clinicaltrials.gov.: NCT01610609.

Time trends in the prescription of statins for the primary prevention of cardiovascular disease in the United Kingdom: a cohort study using The Health Improvement Network primary care data

Background

Statins are widely prescribed for the primary prevention of cardiovascular disease. Guidelines exist for statin prescriptions, but there is little recent analysis concerning prescription trends over time and how these vary with respect to demographic variables.

Methods and results

Using The Health Improvement Network primary care database, statin therapy initiation and statin prescription prevalence rates were calculated using data from 7,027,711 individuals across the UK for the years 1995 to 2013, overall and stratified by sex, age group, and socioeconomic deprivation level (Townsend score). Statin therapy initiation rates rose sharply from 1995 (0.51 per 1,000 person-years) up to 2006 (19.83 per 1,000 person-years) and thereafter declined (10.76 per 1,000 person-years in 2013). Males had higher initiation rates than females and individuals aged 60–85 years had higher initiation rates than younger or more elderly age groups. Initiation rates were slightly higher as social deprivation level increased, after accounting for age and sex. Prescription prevalence increased sharply from 1995 (2.36 per 1,000 person-years) to 2013 (128.03 per 1,000 person-years) with males generally having a higher prevalence rate, over time, than females. Prevalence rates over time were generally higher for older age groups but were similar with respect to social deprivation level.

Conclusion

The uptake of statins within UK primary care has increased greatly over time with statins being more commonly prescribed to older patients in general and, in recent years, males appear to have been prescribed statins at higher rates than females. After accounting for age and sex, the statin therapy initiation rate increases with the level of social deprivation.

Equity of utilisation of cardiovascular care and mental health services in England: a cohort-based cross-sectional study using small-area estimation

Background

A strong policy emphasis on the need to reduce both health inequalities and unmet need in deprived areas has resulted in the substantial redistribution of English NHS funding towards deprived areas. This raises the question of whether or not socioeconomically disadvantaged people continue to be disadvantaged in their access to and utilisation of health care.

Objectives

To generate estimates of the prevalence of cardiovascular disease (CVD) and common mental health disorders (CMHDs) at a variety of scales, and to make these available for public use via Public Health England (PHE). To compare these estimates with utilisation of NHS services in England to establish whether inequalities of use relative to need at various stages on the health-care pathway are associated with particular sociodemographic or other factors.

Design

Cross-sectional analysis of practice-, primary care trust- and Clinical Commissioning Group-level variations in diagnosis, prescribing and specialist management of CVD and CMHDs relative to the estimated prevalence of those conditions (calculated using small-area estimation).

Results

The utilisation of CVD care appears more equitable than the utilisation of care for CMHDs. In contrast to the reviewed literature, we found little evidence of underutilisation of services by older populations. Indeed, younger populations appear to be less likely to access care for some CVD conditions. Nor did deprivation emerge as a consistent predictor of lower use relative to need for either CVD or CMHDs. Ethnicity is a consistent predictor of variations in use relative to need. Rates of primary management are lower than expected in areas with higher percentages of black populations for diabetes, stroke and CMHDs. Areas with higher Asian populations have higher-than-expected rates of diabetes presentation and prescribing and lower-than-expected rates of secondary care for diabetes. For both sets of conditions, there are pronounced geographical variations in use relative to need. For instance, the North East has relatively high levels of use of cardiac care services and rural (shire) areas have low levels of use relative to need. For CMHDs, there appears to be a pronounced ‘London effect’, with the number of people registered by general practitioners as having depression, or being prescribed antidepressants, being much lower in London than expected. A total of 24 CVD and 41 CMHD prevalence estimates have been provided to PHE and will be publicly available at a range of scales, from lower- and middle-layer super output areas through to Clinical Commissioning Groups and local authorities.

Conclusions

We found little evidence of socioeconomic inequality in use for CVD and CMHDs relative to underlying need, which suggests that the strong targeting of NHS resources to deprived areas may well have addressed longstanding concerns about unmet need. However, ethnicity has emerged as a significant predictor of inequality, and there are large and unexplained geographical variations in use relative to need for both conditions which undermine the principle of equal access to health care for equal needs. The persistence of ethnic variations and the role of systematic factors (such as rurality) in shaping patterns of utilisation deserve further investigation, as does the fact that the models were far better at explaining variation in use of CVD than mental health services.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Relationship between Statin Utilization and Socioeconomic Deprivation in Hungary

The risk of premature mortality caused by cardiovascular diseases (CVDs) is approximately three times higher in the Central Eastern European region than in high income European countries, which suggests a lack and/or ineffectiveness of preventive interventions against CVDs. The aim of the present study was to provide data on the relationship between premature CVD mortality, statin utilization as a preventive medication and socioeconomic deprivation at the district level in Hungary. As a conceptually new approach, the prescription of statins, the prescription redemption and the ratio between redemption and prescription rates were also investigated. The number of prescriptions for statins and the number of redeemed statin prescriptions were obtained from the National Health Insurance Fund Administration of Hungary for each primary healthcare practice for the entire year of 2012. The data were aggregated at the district level. To define the frequency of prescription and of redemption, the denominator was the number of the 40+-year-old population adjusted by the rates of 60+-year-old population of the district. The standardized mortality rates, frequency of statin prescriptions, redeemed statin prescriptions, and ratios for compliance in relation to the national average were mapped using the “disease mapping” option, and their association with deprivation (tertile of deprivation index as a district-based categorical covariate) was defined using the risk analysis capabilities within the Rapid Inquiry Facility. The risk analysis showed a significant positive association between deprivation and the relative risk of premature cardiovascular mortality, and a reverse J-shaped association between the relative frequency of statin prescriptions and deprivation. Districts with the highest deprivation showed a low relative frequency of statin prescriptions; however, significantly higher primary compliance (redemption) was observed in districts with the highest deprivation. Our data clearly indicate that insufficient statin utilization is strongly linked to the so-called physician-factor, i.e., a statin prescription. Consequently, statin treatment is poor and represents a significant barrier to reducing mortality, particularly among people living in highly deprived areas of the country.

Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease

BACKGROUND AND OBJECTIVE

Many guidelines for clinical decisions are hierarchical and nonlinear. Evaluating if these guidelines are used in practice requires methods that can identify such structures and thresholds. Classification and regression trees (CART) were used to analyse prescribing patterns of Australian general practitioners (GPs) for the primary prevention of cardiovascular disease (CVD). Our aim was to identify if GPs use absolute risk (AR) guidelines in favour of individual risk factors to inform their prescribing decisions of lipid-lowering medications.

METHODS

We employed administrative prescribing information that is linked to patient-level data from a clinical assessment and patient survey (the AusHeart Study), and assessed prescribing of lipid-lowering medications over a 12-month period for patients (n = 1903) who were not using such medications prior to recruitment. CART models were developed to explain prescribing practice. Out-of-sample performance was evaluated using receiver operating characteristic (ROC) curves, and optimised via pruning.

RESULTS

We found that individual risk factors (low-density lipoprotein, diabetes, triglycerides and a history of CVD), GP-estimated rather than Framingham AR, and sociodemographic factors (household income, education) were the predominant drivers of GP prescribing. However, sociodemographic factors and some individual risk factors (triglycerides and CVD history) only become relevant for patients with a particular profile of other risk factors. The ROC area under the curve was 0.63 (95% confidence interval [CI] 0.60-0.64).

CONCLUSIONS

There is little evidence that AR guidelines recommended by the National Heart Foundation and National Vascular Disease Prevention Alliance, or conditional individual risk eligibility guidelines from the Pharmaceutical Benefits Scheme, are adopted in prescribing practice. The hierarchy of conditional relationships between risk factors and socioeconomic factors identified by CART provides new insights into prescribing decisions. Overall, CART is a useful addition to the analyst's toolkit when investigating healthcare decisions.

Quantifying the contribution of statins to the decline in population mean cholesterol by socioeconomic group in England 1991 - 2012: a modelling study

Background

Serum total cholesterol is one of the major targets for cardiovascular disease prevention. Statins are effective for cholesterol control in individual patients. At the population level, however, their contribution to total cholesterol decline remains unclear. The aim of this study was to quantify the contribution of statins to the observed fall in population mean cholesterol levels in England over the past two decades, and explore any differences between socioeconomic groups.

Methods and Findings

This is a modelling study based on data from the Health Survey for England. We analysed changes in observed mean total cholesterol levels in the adult England population between 1991-92 (baseline) and 2011-12. We then compared the observed changes with a counterfactual ‘no statins’ scenario, where the impact of statins on population total cholesterol was estimated and removed. We estimated uncertainty intervals (UI) using Monte Carlo simulation, where confidence intervals (CI) were impractical. In 2011-12, 13.2% (95% CI: 12.5-14.0%) of the English adult population used statins at least once per week, compared with 1991-92 when the proportion was just 0.5% (95% CI: 0.3-1.0%). Between 1991-92 and 2011-12, mean total cholesterol declined from 5.86 mmol/L (95% CI: 5.82-5.90) to 5.17 mmol/L (95% CI: 5.14-5.20). For 2011-12, mean total cholesterol was lower in more deprived groups. In our ‘no statins’ scenario we predicted a mean total cholesterol of 5.36 mmol/L (95% CI: 5.33-5.40) for 2011-12. Statins were responsible for approximately 33.7% (95% UI: 28.9-38.8%) of the total cholesterol reduction since 1991-92. The statin contribution to cholesterol reduction was greater among the more deprived groups of women, while showing little socio-economic gradient among men.

Conclusions

Our model suggests that statins explained around a third of the substantial falls in total cholesterol observed in England since 1991. Approximately two thirds of the cholesterol decrease can reasonably be attributed non-pharmacological determinants.

Initiation rates of statin therapy for the primary prevention of cardiovascular disease: an assessment of differences between countries of the UK and between regions within England

OBJECTIVES

To investigate the extent to which variation exists in the initiation rate of statin therapy for the primary prevention of cardiovascular disease between countries of the UK and between different regions within England.

DESIGN

Cohort study using data from a large UK primary care database.

SETTING UK PARTICIPANTS

4,820,885 individuals from 554 general practices during the period 2004-2012.

MAIN OUTCOME MEASURES

Rate of statin therapy initiation per 1000 person-years.

RESULTS

Relative to a fixed English rate of 1 initiation per 1000 person-years and accounting for gender, age and social deprivation level, the rate was similar for Scotland at 0.92 (95% CI 0.84 to 1.00) and rates for Northern Ireland and Wales were higher at 1.40 (95% CI 1.20 to 1.62) and 1.18 (95% CI 1.05 to 1.32), respectively. Within England, the regions could be classified into three groups with respect to statin therapy initiation rates (relative to a rate of 1 initiation per 1000 person-years for London): the South Central 0.73 (95% CI 0.64 to 0.83), South West 0.80 (95% CI 0.71 to 0.91), East of England 0.81 (95% CI 0.71 to 0.94) and South East Coast 0.83 (95% CI 0.73 to 0.95); strategic health authorities had similar low rates followed by the East Midlands 0.88 (95% CI 0.73 to 1.05), West Midlands 0.96 (95% CI 0.84 to 1.09), North East 0.96 (95% CI 0.79 to 1.16), Yorkshire and Humber 0.97 (95% CI 0.81 to 1.17) and London strategic health authorities. North West England exhibited the highest rate of statin therapy initiation of 1.16 (95% CI 1.02 to 1.31).

CONCLUSIONS

Considerable variation in the rate of statin therapy initiation was observed between the four countries of the UK and between different geographical regions within England.

Variations in statin prescribing for primary cardiovascular disease prevention: cross-sectional analysis

BACKGROUND

Statins are an important intervention for primary and secondary cardiovascular disease (CVD) prevention. We aimed to establish the variation in primary preventive treatment for CVD with statins in the English population.

METHODS

Cross sectional analyses of 6155 English primary care practices with 40,017,963 patients in 2006/7. Linear regression was used to model prescribing rates of statins for primary CVD prevention as a function of IMD (index of multiple deprivation) quintile, proportion of population from an ethnic minority, and age over 65 years. Defined Daily Doses (DDD) were used to calculate the numbers of patients receiving a statin. Statin prescriptions were allocated to primary and secondary prevention based on the prevalence of CVD and stroke.

RESULTS

We estimated that 10.5% (s.d.3.7%) of the registered population were dispensed a statin for any indication and that 6.3% (s.d. 3.0%) received a statin for primary CVD prevention. The regression model explained 21.2% of the variation in estimates of prescribing for primary prevention. Practices with higher prevalence of hypertension (β co-efficient 0.299 p <0.001) and diabetes (β co-efficient 0.566 p < 0.001) prescribed more statins for primary prevention. Practices with higher levels of ethnicity (β co-efficient-0.026 p <0.001), greater deprivation (β co-efficient -0.152 p < 0.001) older patients (β co-efficient -0.032 p 0.002), larger lists (β co-efficient -0.085, p < 0.001) and were more rural (β co-efficient -0.121, p0.026) prescribed fewer statins. In a small proportion of practices (0.5%) estimated prescribing rates for statins were so low that insufficient prescriptions were issued to meet the predicted secondary prevention requirements of their registered population.

CONCLUSIONS

Absolute estimated prescribing rates for primary prevention of CVD were 6.3% of the population. There was evidence of social inequalities in statin prescribing for primary prevention. These findings support the recent introduction of a financial incentive for primary prevention of CVD in England.

Factors associated with statin treatment for the primary prevention of cardiovascular disease in people within 2 years following diagnosis of diabetes in Scotland, 2006-2008

AIM

To describe characteristics associated with statin prescribing for the primary prevention of cardiovascular disease in people with newly diagnosed diabetes.

METHODS

Data from the Scottish Care Information-Diabetes Collaboration data set for 2006-2008 were used. This data set contains socio-demographic and prescribing data for over 99% of people with diagnosed diabetes in Scotland. Analyses were conducted on people aged over 40 years diagnosed with Type 1 or Type 2 diabetes between 2006 and 2008 with complete data and no previous history of cardiovascular or statin prescription. Logistic regression was used to calculate odds ratios for statin prescription in the 2 years following diagnosis of diabetes.

RESULTS

There were 7157 men and 5601 women who met the inclusion criteria, 68% of whom had a statin prescription recorded in the 2 years following diagnosis of diabetes. The proportions receiving statins were lower above 65 years of age in men and 75 years of age in women. People with Type 1 diabetes had lower odds of receiving statins than people with Type 2 diabetes [odds ratio (95% CI) 0.42 (0.29-0.61) for men and 0.48 (0.28-0.81) for women, after adjustment for age, BMI, smoking status, cholesterol level and deprivation]. Higher total cholesterol, BMI and being a current smoker were associated with greater odds of statin prescription.

CONCLUSION

Approximately one third of the study population had no record of statin prescription during the 2 years after diagnosis of diabetes. Cardiovascular disease risk reduction opportunities may be missed in some of these people.

An association between socioeconomic deprivation and primary care antibiotic prescribing in Scotland

OBJECTIVE

To evaluate the association between socioeconomic deprivation and antibiotic prescribing in Scotland.

PATIENTS AND METHODS

Data for dispensed antibiotic prescriptions written by general practitioners were obtained for all Scottish National Health Service boards from 2010 to 2012. Deprivation was assessed linking dispensing events to the Scottish Index of Multiple Deprivation (SIMD) score for the patient's datazone (neighbourhood area). The relationship between the deprivation area and antibiotic use (items per 1000 persons per day) was stratified according to the patient's age and sex and the antibiotic class dispensed. A multivariate Poisson regression model was used to formally test the associations.

RESULTS

Approximately 12 million prescription items during 2010-2012 were assessed. Patients in the most deprived SIMD quintile had an overall prescription rate that was 36.5% higher than those in the least deprived quintile. The effect of deprivation upon prescription rates was most pronounced for women aged 40-59 years, and for penicillins and metronidazole.

CONCLUSIONS

Deprivation was found to have a consistent association with increased rates of antibiotic prescribing in Scotland, which may have significant implications for antimicrobial stewardship and public health campaigns.

Patient factors influencing the prescribing of lipid lowering drugs for primary prevention of cardiovascular disease in UK general practice: a national retrospective cohort study

BACKGROUND

Guidelines indicate eligibility for lipid lowering drugs, but it is not known to what extent GPs' follow guidelines in routine clinical practice or whether additional clinical factors systematically influence their prescribing decisions.

METHODS

A retrospective cohort analysis was undertaken using electronic primary care records from 421 UK general practices. At baseline (May 2008) patients were aged 30 to 74 years, free from cardiovascular disease and not taking lipid lowering drugs. The outcome was prescription of a lipid lowering drug within the next two years. The proportions of eligible and ineligible patients prescribed lipid lowering drugs were reported and multivariable logistic regression models were used to investigate associations between age, sex, cardiovascular risk factors and prescribing.

RESULTS

Of 365,718 patients with complete data, 13.8% (50,558) were prescribed lipid lowering drugs: 28.5% (21,101/74,137) of those eligible and 10.1% (29,457/291,581) of those ineligible. Only 41.7% (21,101/50,558) of those prescribed lipid lowering drugs were eligible. In multivariable analysis prescribing was most strongly associated with increasing age (OR for age ≥ 65 years 4.21; 95% CI 4.05-4.39); diabetes (OR 4.49; 95% CI 4.35-4.64); total cholesterol level ≥ 7 mmol/L (OR 2.20; 95% CI 2.12-2.29); and ≥ 4 blood pressure measurements in the past year (OR 4.24; 95% CI 4.06-4.42). The predictors were similar in eligible and ineligible patients.

CONCLUSIONS

Most lipid lowering drugs for primary prevention are prescribed to ineligible patients. There is underuse of lipid lowering drugs in eligible patients.

Pay-for-performance: impact on diabetes

Pay-for-performance schemes explicitly link provider remuneration to the quality of care provided, with the aims of modifying provider behavior and improving patient outcomes. If successful, pay-for-performance schemes could drive improvements in quality and efficiency of care. However, financial incentives could also erode providers' intrinsic motivation, narrow their focus, promote unethical behavior, and ultimately increase health care inequalities. Evidence from schemes implemented to date suggests that carefully designed pay-for-performance schemes that align sufficient rewards with clinical priorities can produce modest but significant improvements in processes of diabetic care and intermediate outcomes. There is limited evidence, however, on whether improvements in processes of care result in improved outcomes, in terms of patient satisfaction, reduced complications, and greater longevity. The lack of adequate control groups has limited research findings to date, and more robust studies are needed to explore both the potential long-term benefits of pay-for-performance schemes and their unintended consequences.

Effect of ethnicity on the prevalence, severity, and management of COPD in general practice

BACKGROUND

Chronic obstructive pulmonary disease (COPD) remains a major cause of mortality and hospital use. Little is known in the UK about the variation in COPD prevalence, severity, and management depending on ethnicity.

AIM

To examine differences by ethnicity in COPD prevalence, severity, and management.

DESIGN & SETTING

Cross-sectional study using routinely collected computerised data from general practice in three east-London primary care trusts (Newham, Tower Hamlets, and City and Hackney) with multiethnic populations of people who are socially deprived.

METHOD

Routine demographic, clinical, and hospital admission data from 140 practices were collected.

RESULTS

Crude COPD prevalence was 0.9%; the highest recorded rates were in the white population. Severity of COPD, measured by percentage-predicted forced expiratory volume in 1 second, did not vary by ethnicity. South Asians and black patients were less likely than white patients to have breathlessness, indicated by a Medical Research Council dyspnoea grade of ≥4 (odds ratio [OR] 0.7 [95% confidence interval (CI) = 0.6 to 0.9] and 0.6 [95% CI = 0.4 to 0.8]). Black patients were less likely than white patients to receive inhaled medications. Influenza and pneumococcal vaccine rates were highest among groups of South Asians (OR 3.0 [95% CI = 2.1 to 4.3] and 1.8 [95% CI = 1.4 to 2.3] respectively). Both minority ethnic groups had low referral rates to pulmonary rehabilitation. In Tower Hamlets, black patients were more likely to be admitted to hospital for respiratory causes.

CONCLUSION

Differences in COPD prevalence and severity by ethnicity were identified, and significant differences in drug and non-drug management and hospital admissions observed. Systematic ethnicity recording in general practice is needed to be able to explore such differences and monitor inequalities in healthcare by ethnicity.

Mass spectrometry-based proteomics: existing capabilities and future directions

Mass spectrometry (MS)-based proteomics is emerging as a broadly effective means for identification, characterization, and quantification of proteins that are integral components of the processes essential for life. Characterization of proteins at the proteome and sub-proteome (e.g., the phosphoproteome, proteoglycome, or degradome/peptidome) levels provides a foundation for understanding fundamental aspects of biology. Emerging technologies such as ion mobility separations coupled with MS and microchip-based-proteome measurements combined with MS instrumentation and chromatographic separation techniques, such as nanoscale reversed phase liquid chromatography and capillary electrophoresis, show great promise for both broad undirected and targeted highly sensitive measurements. MS-based proteomics increasingly contribute to our understanding of the dynamics, interactions, and roles that proteins and peptides play, advancing our understanding of biology on a systems wide level for a wide range of applications including investigations of microbial communities, bioremediation, and human health.

Risk of pneumonia in patients taking statins: population-based nested case-control study

BACKGROUND

Community-acquired pneumonia is one of the most common causes of hospitalisation and death in older people. Recent research suggests that statins might improve the outcome of infectious diseases because of their anti-oxidative and anti-inflammatory properties.

AIM

To estimate the association between current statin use and the risk of community-acquired pneumonia.

DESIGN AND SETTING

Nested case-control study of 443 general practices in the UK within the QResearch® database.

METHOD

Individuals with newly recorded pneumonia, diagnosed between 1996 and 2006 and aged 45 years and older, were matched with up to five controls by age, sex, general practice, and calendaryear Odds ratios for pneumonia associated with statin use were adjusted for smoking status, deprivation, comorbidities, use of acid-lowering drugs, influenza, and pneumococcal vaccines.

RESULTS

The analysis found a decreased risk of pneumonia in patients prescribed statins in the year prior to diagnosis (adjusted odds ratio = 0.78, 95% confidence interval [CI] = 0.74 to 0.83), particularly in patients with prescriptions in the last 28 days (adjusted odds ratio = 0.68, 95% CI = 0.63 to 0.73). Atorvastatin and simvastatin had similar associations with pneumonia risk. Analysis repeated on lobar and pneumococcal pneumonia cases showed comparable results.

CONCLUSION

In this large population-based case-control study, current exposure to statins was associated with a reduced risk of pneumonia. The findings were similar to other observational population-based studies, but further randomised controlled trials are necessary before recommending statins to patients at high risk of pneumonia.

The equity dimension in evaluations of the quality and outcomes framework: a systematic review

BACKGROUND

Pay-for-performance systems raise concerns regarding inequity in health care because providers might select patients for whom targets can easily be reached. This paper aims to describe the evolution of pre-existing (in)equity in health care in the period after the introduction of the Quality and Outcomes Framework (QOF) in the UK and to describe (in)equities in exception reporting. In this evaluation, a theory-based framework conceptualising equity in terms of equal access, equal treatment and equal treatment outcomes for people in equal need is used to guide the work.

METHODS

A systematic MEDLINE and Econlit search identified 317 studies. Of these, 290 were excluded because they were not related to the evaluation of QOF, they lacked an equity dimension in the evaluation, their qualitative research focused on experiences or on the nature of the consultation, or unsuitable methodology was used to pronounce upon equity after the introduction of QOF.

RESULTS

None of the publications (n = 27) assessed equity in access to health care. Concerning equity in treatment and (intermediate) treatment outcomes, overall quality scores generally improved. For the majority of the observed indicators, all citizens benefit from this improvement, yet the extent to which different patient groups benefit tends to vary and to be highly dependent on the type and complexity of the indicator(s) under study, the observed patient group(s) and the characteristics of the study. In general, the introduction of QOF was favourable for the aged and for males. Total QOF scores did not seem to vary according to ethnicity. For deprivation, small but significant residual differences were observed after the introduction of QOF favouring less deprived groups. These differences are mainly due to differences at the practice level. The variance in exception reporting according to gender and socio-economic position is low.

CONCLUSIONS

Although QOF seems not to be socially selective at first glance, this does not mean QOF does not contribute to the inverse care law. Introducing different targets for specific patient groups and including appropriate, non-disease specific and patient-centred indicators that grasp the complexity of primary care might refine the equity dimension of the evaluation of QOF. Also, information on the actual uptake of care, information at the patient level and monitoring of individuals' health care utilisation tracks could make large contributions to an in-depth evaluation. Finally, evaluating pay-for-quality initiatives in a broader health systems impact assessment strategy with equity as a full assessment criterion is of utmost importance.

Temporal and within practice variability in the health improvement network

BACKGROUND

The Health Improvement Network (THIN) database is a primary care electronic medical record database in the UK designed for pharmacoepidemiologic research. Matching on practice and calendar year often is used to account for secular trends in time and differences across practices. However, little is known about the consistency within practices across observation years and among practices within a given year, in THIN or other large medical record databases.

METHODS

We analyzed mortality rates, cancer incidence rates, prescribing rates, and encounter rates across 415 practices from 2000 to 2007 using a practice-year as the unit of observation in separate random and fixed effects longitudinal Poisson regression models. Adjusted models accounted for aggregate practice-level characteristics (smoking, obesity, age, and Vision software experience).

RESULTS

In adjusted models, subsequent calendar years were associated with lower reported mortality rates, increasing cancer reporting rates, increasing prescriptions per patient, and decreasing encounters per patient, with a corresponding linear trend (p < 0.001 for all analyses). For calendar year 2007, the ratio of the 75th percentile to the 25th percentile for crude rate of cancer, mortality, prescriptions, and encounters was 1.63, 1.63, 1.45, and 1.42, respectively. Adjusting for practice characteristics reduced the among-practice variation by approximately 40%.

CONCLUSIONS

THIN data are characterized by secular trends and among-practice variation, both of which should be considered in the design of pharmacoepidemiology studies. Whether these are trends in data quality or true secular trends could not be definitively differentiated.

Prescribing in general practice for people with coronary heart disease; equity by age, sex, ethnic group and deprivation

OBJECTIVE

Differences in drug prescribing for coronary heart disease have previously been identified by age, sex and ethnic group. Set in the UK, our study utilises routinely collected data from 98 general practices serving a socially diverse population in inner East London, to examine differences in prescribing rates among patients aged 35 years and over with coronary heart disease.

DESIGN

10,933 patients aged 35 years or more, with recorded coronary heart disease, from 98 practices in two Primary Care Trusts (PCT) in East London during 2009/2010 were included for this cross-sectional study. Multivariable logistic regression was used to assess the odds of prescribing for recommended coronary heart disease drugs by age, sex, ethnicity, social deprivation, co-morbidity and recorded reasons for not prescribing.

RESULTS

Women are prescribed fewer recommended coronary heart disease drugs than men; Black African/Caribbean patients are prescribed fewer lipid modifying drugs and other cardiovascular drugs than White patients. Patients over age 84 are prescribed fewer lipid modifying drugs and beta blockers than patients aged 45-54. South Asian patients had the highest levels of prescribing and higher prevalence of coronary heart disease and diabetes co-morbidity. No difference in prescribing rates by social deprivation was found.

DISCUSSION

Overall levels of prescribing are high but small differences between sex and ethnic groups remain and prescribing may be inequitable for women, for Black/African Caribbeans and at older ages. These differences were not explained by recorded intolerance, contraindications or declining treatment.

Variations in cardiovascular disease under-diagnosis in England: national cross-sectional spatial analysis

BACKGROUND

There is under-diagnosis of cardiovascular disease (CVD) in the English population, despite financial incentives to encourage general practices to register new cases. We compared the modelled (expected) and diagnosed (observed) prevalence of three cardiovascular conditions- coronary heart disease (CHD), hypertension and stroke- at local level, their geographical variation, and population and healthcare predictors which might influence diagnosis.

METHODS

Cross-sectional observational study in all English local authorities (351) and general practices (8,372) comparing model-based expected prevalence with diagnosed prevalence on practice disease registers. Spatial analyses were used to identify geographic clusters and variation in regression relationships.

RESULTS

A total of 9,682,176 patients were on practice CHD, stroke and transient ischaemic attack, and hypertension registers. There was wide spatial variation in observed: expected prevalence ratios for all three diseases, with less than five per cent of expected cases diagnosed in some areas. London and the surrounding area showed statistically significant discrepancies in observed: expected prevalence ratios, with observed prevalence much lower than the epidemiological models predicted. The addition of general practitioner supply as a variable yielded stronger regression results for all three conditions.

CONCLUSIONS

Despite almost universal access to free primary healthcare, there may be significant and highly variable under-diagnosis of CVD across England, which can be partially explained by persistent inequity in GP supply. Disease management studies should consider the possible impact of under-diagnosis on population health outcomes. Compared to classical regression modelling, spatial analytic techniques can provide additional information on risk factors for under-diagnosis, and can suggest where healthcare resources may be most needed.

Socioeconomic and ethnic differences in use of lipid-lowering drugs after deregulation of simvastatin in the UK: the Whitehall II prospective cohort study

BACKGROUND

We examined socioeconomic and ethnic differences in use of lipid-lowering drugs after deregulation of simvastatin in the UK for adults with moderate or high risk of coronary heart disease.

METHODS

3631 participants in the Whitehall II cohort study (mean age 62.7 years, 91% white) were informed of their risk of coronary heart disease, based on Framingham score, before deregulation (2002-2004). The use of prescribed lipid-lowering drugs and use of over-the-counter simvastatin were analysed as outcome variables, after deregulation (2005-2007).

RESULTS

2451 participants were at high risk and 1180 at moderate risk. 20% moderate-risk and 44% high-risk participants reported using prescribed lipid-lowering drugs although no over-the-counter simvastatin was used. Prescribing rates did not differ between employment grades (an index of socioeconomic position), but was higher among South Asian high-risk compared with White high-risk participants (odds ratio 1.64, 95% CI 1.21-2.23). Of the high-risk participants, 44% recalled their increased coronary heart disease risk. South Asian high-risk participants were less likely to recall than White high-risk participants (odds ratio 0.65, 95% CI 0.46-0.93). Furthermore, high risk participants with middle (odds ratio 0.74, 95% CI 0.61-0.89) and low (odds ratio 0.52, 95% CI 0.37-0.74) employment grades were less likely to recall than those with high grades.

CONCLUSION

Socioeconomic and ethnic differences in reported use of lipid-lowering drugs were small, but the use of these drugs in general was much lower than recommended and the participants did not utilise over-the-counter statins. Ethnic minorities and lower socioeconomic position groups were less likely to be aware of their increased coronary risk.

Hepatotoxicity fears contribute to underutilization of statin medications by primary care physicians

INTRODUCTION

The safety and efficacy of hydroxymethylglutaryl CoA reductase inhibitors (statins) have been extensively demonstrated, but in clinical practice, there remains significant underutilization of these medications. The authors hypothesized that this underutilization could stem in part from fear of liver damage caused by statins. The purpose was to determine whether concern about hepatotoxicity acts as a barrier among primary care physicians to prescribing statins for patients with elevated liver transaminase values and/or underlying liver disease.

METHOD

The survey included 937 primary care physicians from 138 academic centers in the United States, and the following were measured: (1) comparison of statin prescribing for patients with clinical indications and (a) no mention of liver transaminase values, (b) elevated liver transaminase values and (c) underlying liver disease; (2) correlation between perception of statin hepatotoxicity and statin prescribing.

RESULTS

Seventy-one percent of respondents would prescribe statins in scenario 1, (45-year-old woman with low-density lipoprotein 240 mg/dL), whereas only 50% would prescribe statins if the baseline liver transaminase values were elevated to 1.5 times upper limit of normal (P < 0.001). This prescribing rate dropped even further to 40% in scenario 3 (55-year-old man with known coronary disease, low-density lipoprotein 250 mg/dL and hepatitis C). Thirty-seven percent of respondents had falsely elevated perceptions of statin hepatotoxicity risk, and these perceptions correlated inversely with statin prescribing. The method of survey administration prevented calculation of response rate, possibility of response bias exists.

CONCLUSION

Despite extensive data documenting safety of statins, primary care physicians harbor significant hepatotoxicity concerns, and these concerns act as a barrier to statin utilization.

Impact of pay for performance on inequalities in health care: systematic review

OBJECTIVES

To assess the impact of pay for performance programmes on inequalities in the quality of health care in relation to age, sex, ethnicity and socioeconomic status.

METHODS

Systematic search and appraisal of experimental or observational studies that assessed quantitatively the impact of a monetary incentive on health care inequalities. We searched published articles in English identified in the MEDLINE, EMBASE, PsycINFO and Cochrane databases.

RESULTS

Twenty-two studies were identified, 20 of which were conducted in the United Kingdom and examined the impact of the Quality and Outcomes Framework. Sixteen studies used practice level data rather than patient level data. Socioeconomic status was the most frequently examined inequality; age, sex and ethnic inequalities were less frequently assessed. There was some weak evidence that the use of financial incentives reduced inequalities in chronic disease management between socioeconomic groups. Inequalities in chronic disease management between age, sex and ethnic groups persisted after the use of such incentives.

CONCLUSION

Inequalities in chronic disease management have largely persisted after the introduction of the Quality and Outcome Framework. Pay for performance programmes should be designed to reduce inequalities as well as improve the overall quality of care.

Influence of population and general practice characteristics on prescribing of minor tranquilisers in primary care

Prevalence of generalised anxiety disorders is widespread in Great Britain. Previous small-scale research has shown variations in minor tranquiliser prescribing, identifying several potential predictors of prescribing volume.

OBJECTIVE

This study aimed to investigate the relationship between general practice minor tranquiliser prescribing rates and practice population and general practice characteristics for all general practices in England.

METHODS

Multiple regression analysis of minor tranquiliser prescribing volumes during 2004/2005 for 8,291 English general practices with general practice and population variables obtained from the General Medical Services (GMS) statistics, Quality and Outcomes Framework (QOF), 2001 Census and 2004 Index of Multiple Deprivation (IMD).

RESULTS

The highest rates of minor tranquiliser prescribing were in areas with the greatest local deprivation while general practices situated in areas with larger proportions of residents of black ethnic origin had lower rates of prescribing. Other predictors of increased prescribing were general practices with older general practitioners and general practices with older registered practice populations.

CONCLUSION

Our findings show that there is wide variation of minor tranquilisers prescribing across England which has implications regarding access to treatment and inequity of service provision. Future research should determine the barriers to equitable prescribing amongst general practices serving larger populations of black ethnic origin.

Which practices are high antibiotic prescribers? A cross-sectional analysis

BACKGROUND

Substantial variation in antibiotic prescribing rates between general practices persists, but remains unexplained at national level.

AIM

To establish the degree of variation in antibiotic prescribing between practices in England and identify the characteristics of practices that prescribe higher volumes of antibiotics.

DESIGN OF STUDY

Cross-sectional study.

SETTING

8057 general practices in England.

METHOD

A dataset was constructed containing data on standardised antibiotic prescribing volumes, practice characteristics, patient morbidity, ethnicity, social deprivation, and Quality and Outcomes Framework achievement (2004-2005). Data were analysed using multiple regression modelling.

RESULTS

There was a twofold difference in standardised antibiotic prescribing volumes between practices in the 10th and 90th centiles of the sample (0.48 versus 0.95 antibiotic prescriptions per antibiotic STAR-PU [Specific Therapeutic group Age-sex weightings-Related Prescribing Unit]). A regression model containing nine variables explained 17.2% of the variance in antibiotic prescribing. Practice location in the north of England was the strongest predictor of high antibiotic prescribing. Practices serving populations with greater morbidity and a higher proportion of white patients prescribed more antibiotics, as did practices with shorter appointments, non-training practices, and practices with higher proportions of GPs who were male, >45 years of age, and qualified outside the UK.

CONCLUSION

Practice and practice population characteristics explained about one-sixth of the variation in antibiotic prescribing nationally. Consultation-level and qualitative studies are needed to help further explain these findings and improve our understanding of this variation.

Deprivation, demography, and the distribution of general practice: challenging the conventional wisdom of inverse care

It is generally believed that the most deprived populations have the worst access to primary care. Lord Darzi's review of the NHS responds to this conventional wisdom and makes a number of proposals for improving the supply of GP services in deprived communities. This paper argues that these proposals are based on an incomplete understanding of inverse care which underestimates the degree to which, relative to their healthcare needs, older populations experience low availability of primary care. Many deprived practices appear to have a better match between need and supply than practices serving affluent but ageing populations. However, practices serving the oldest and most deprived populations have the worst availability of all.

A model based on age, sex, and morbidity to explain variation in UK general practice prescribing: cohort study

OBJECTIVE

To examine whether patient level morbidity based measure of clinical case mix explains variations in prescribing in general practice.

DESIGN

Retrospective study of a cohort of patients followed for one year.

SETTING

UK General Practice Research Database.

PARTICIPANTS

129 general practices, with a total list size of 1 032 072.

MAIN OUTCOME MEASURES

Each patient was assigned a morbidity group on the bases of diagnoses, age, and sex using the Johns Hopkins adjusted clinical group case mix system. Multilevel regression models were used to explain variability in prescribing, with age, sex, and morbidity as predictors.

RESULTS

The median number of prescriptions issued annually to a patient is 2 (90% range 0 to 18). The number of prescriptions issued to a patient increases with age and morbidity. Age and sex explained only 10% of the total variation in prescribing compared with 80% after including morbidity. When variation in prescribing was split between practices and within practices, most of the variation was at the practice level. Morbidity explained both variations well.

CONCLUSIONS

Inclusion of a diagnosis based patient morbidity measure in prescribing models can explain a large amount of variability, both between practices and within practices. The use of patient based case mix systems may prove useful in allocation of budgets and therefore should be investigated further when examining prescribing patterns in general practices in the UK, particularly for specific therapeutic areas.