Estimation and determinants of direct hospitalisation cost for coronary heart disease in a low-middle-income country: evidence from a nationwide study in Iranian hospitals.

BACKGROUND: Coronary heart disease (CHD) is the most prevalent type of cardiovascular disease in Iran. This study aims to investigate the estimation and determinants of direct hospitalisation cost for patients with CHD in Iranian hospitals. METHODS: We identified patients with CHD in Iran in 2019-2020. Data were gathered from the Iran Health Insurance Organisation information systems and the Ministry of Health and Medical Education. This was a cross-sectional prevalence-based study. Generalised linear models were used to find the determinants of hospitalisation cost for patients with CHD. A total of 86 834 patients suffering from CHD were studied. RESULTS: Mean hospitalisation cost per CHD patient was US$382.90±US$500.72 while the mean daily hospitalisation cost per CHD patient was US$89.71±US$89.99. In-hospital mortality of CHD was 2.52%. Hospitalisation accommodation and medications had the highest share of hospitalisation costs (25.59% and 22.63%, respectively). Men spent 1.12 (95% CI 1.11 to 1.13) times more on hospitalisation costs compared with women, and individuals aged 60 to 69 had hospitalisation costs 1.04 (95% CI 1.02 to 1.06) times higher than those in the 0-49 age range. Patients insured by the Iranian Fund have significantly higher costs 1.17 (95% CI 1.14 to 1.19) than the Rural fund. Hospitalisation costs for patients with CHD who received surgery and angiography were significantly 2.36 (95% CI 2.30 to 2.43) times higher than for patients who did not undergo surgery and angiography. CONCLUSION: Applying CHD prevention strategies for men and the middle-aged population (50-70 years) is strongly recommended. Prudent use and prescribing of medications will be helpful to reduce hospitalisation cost.

The economic burden of cancer, coronary heart disease, dementia, and stroke in England in 2018, with projection to 2050: an evaluation of two cohort studies.

BACKGROUND: Cancer, coronary heart disease, dementia, and stroke are major contributors to morbidity and mortality in England. We aimed to assess the economic burden (including health-care, social care, and informal care costs, as well as productivity losses) of these four conditions in England in 2018, and forecast this cost to 2050 using population projections. METHODS: We used individual patient-level data from the Clinical Practice Research Datalink (CPRD) Aurum, which contains primary care electronic health records of patients from 738 general practices in England, to calculate health-care and residential and nursing home resource use, and data from the English Longitudinal Study on Ageing (ELSA) to calculate informal and formal care costs. From CPRD Aurum, we included patients registered on Jan 1, 2018, in a CPRD general practice with Hospital Episode Statistics (HES)-linked records, omitting all children younger than 1 year. From ELSA, we included data collected from wave 9 (2018-19). Aggregate English resource use data on morbidity, mortality, and health-care, social care, and informal care were obtained and apportioned, using multivariable regression analyses, to cancer, coronary heart disease, dementia, and stroke. FINDINGS: We included 4 161 558 patients from CPRD Aurum with HES-linked data (mean age 41 years [SD 23], with 2 079 679 [50·0%] men and 2 081 879 [50·0%] women) and 8736 patients in ELSA (68 years [11], with 4882 [55·9 %] men and 3854 [44·1%] women). In 2018, the total cost was £18·9 billion (95% CI 18·4-19·4) for cancer, £12·7 billion (12·3-13·0) for coronary heart disease, £11·7 billion (9·6-12·7) for dementia, and £8·6 billion (8·2-9·0) for stroke. Using 2050 English population projections, we estimated that costs would rise by 40% (39-41) for cancer, 54% (53-55) for coronary heart disease, 100% (97-102) for dementia, and 85% (84-86) for stroke, for a total of £26·5 billion (25·7-27·3), £19·6 billion (18·9-20·2), £23·5 billion (19·3-25·3), and £16·0 billion (15·3-16·6), respectively. INTERPRETATION: This study provides contemporary estimates of the wide-ranging impact of the most important chronic conditions on all aspects of the economy in England. The data will help to inform evidence-based polices to reduce the impact of chronic disease, promoting care access, better health outcomes, and economic sustainability. FUNDING: Alzheimer's Research UK.

Association of Low Socioeconomic Status With Premature Coronary Heart Disease in US Adults.

Importance: Individuals with low socioeconomic status (SES) bear a disproportionate share of the coronary heart disease (CHD) burden, and CHD remains the leading cause of mortality in low-income US counties. Objective: To estimate the excess CHD burden among individuals in the United States with low SES and the proportions attributable to traditional risk factors and to other factors associated with low SES. Design, Setting, and Participants: This computer simulation study used the Cardiovascular Disease Policy Model, a model of CHD and stroke incidence, prevalence, and mortality among adults in the United States, to project the excess burden of early CHD. The proportion of this excess burden attributable to traditional CHD risk factors (smoking, high blood pressure, high low-density lipoprotein cholesterol, low high-density lipoprotein cholesterol, type 2 diabetes, and high body mass index) compared with the proportion attributable to other risk factors associated with low SES was estimated. Model inputs were derived from nationally representative US data and cohort studies of incident CHD. All US adults aged 35 to 64 years, stratified by SES, were included in the simulations. Exposures: Low SES was defined as income below 150% of the federal poverty level or educational level less than a high school diploma. Main Outcomes and Measures: Premature (before age 65 years) myocardial infarction (MI) rates and CHD deaths. Results: Approximately 31.2 million US adults aged 35 to 64 years had low SES, of whom approximately 16 million (51.3%) were women. Compared with individuals with higher SES, both men and women in the low-SES group had double the rate of MIs (men: 34.8 [95% uncertainty interval (UI), 31.0-38.8] vs 17.6 [95% UI, 16.0-18.6]; women: 15.1 [95% UI, 13.4-16.9] vs 6.8 [95% UI, 6.3-7.4]) and CHD deaths (men: 14.3 [95% UI, 13.0-15.7] vs 7.6 [95% UI, 7.3-7.9]; women: 5.6 [95% UI, 5.0-6.2] vs 2.5 [95% UI, 2.3-2.6]) per 10 000 person-years. A higher burden of traditional CHD risk factors in adults with low SES explained 40% of these excess events; the remaining 60% of these events were attributable to other factors associated with low SES. Among a simulated cohort of 1.3 million adults with low SES who were 35 years old in 2015, the model projected that 250 000 individuals (19%) will develop CHD by age 65 years, with 119 000 (48%) of these CHD cases occurring in excess of those expected for individuals with higher SES. Conclusions and Relevance: This study suggested that, for approximately one-quarter of US adults aged 35 to 64 years, low SES was substantially associated with early CHD burden. Although biomedical interventions to modify traditional risk factors may decrease the disease burden, disparities by SES may remain without addressing SES itself.

The Real-World Cost-Effectiveness of Coronary Artery Bypass Surgery Versus Stenting in High-Risk Patients: Propensity Score-Matched Analysis of a Single-Centre Experience.

BACKGROUND: There are limited economic evaluations comparing coronary artery bypass grafting (CABG) and percutaneous coronary intervention (PCI) for multi-vessel coronary artery disease (MVCAD) in contemporary, routine clinical practice. OBJECTIVE: The aim was to perform a cost-effectiveness analysis comparing CABG and PCI in patients with MVCAD, from the perspective of the Australian public hospital payer, using observational data sources. METHODS: Clinical data from the Melbourne Interventional Group (MIG) and the Australian and New Zealand Society of Cardiac and Thoracic Surgeons (ANZSCTS) registries were analysed for 1022 CABG (treatment) and 978 PCI (comparator) procedures performed between June 2009 and December 2013. Clinical records were linked to same-hospital admissions and national death index (NDI) data. The incremental cost-effectiveness ratios (ICERs) per major adverse cardiac and cerebrovascular event (MACCE) avoided were evaluated. The propensity score bin bootstrap (PSBB) approach was used to validate base-case results. RESULTS: At mean follow-up of 2.7 years, CABG compared with PCI was associated with increased costs and greater all-cause mortality, but a significantly lower rate of MACCE. An ICER of $55,255 (Australian dollars)/MACCE avoided was observed for the overall cohort. The ICER varied across comparisons against bare metal stents (ICER $25,815/MACCE avoided), all drug-eluting stents (DES) ($56,861), second-generation DES ($42,925), and third-generation of DES ($88,535). Moderate-to-low ICERs were apparent for high-risk subgroups, including those with chronic kidney disease ($62,299), diabetes ($42,819), history of myocardial infarction ($30,431), left main coronary artery disease ($38,864), and heart failure ($36,966). CONCLUSIONS: At early follow-up, high-risk subgroups had lower ICERs than the overall cohort when CABG was compared with PCI. A personalised, multidisciplinary approach to treatment of patients may enhance cost containment, as well as improving clinical outcomes following revascularisation strategies.

The cost-effectiveness of screening strategies for familial hypercholesterolaemia in Poland.

BACKGROUND AND AIMS: Familial hypercholesterolaemia (FH) elevates the cholesterol level and increases the risk of coronary events and death. Early detection and treatment reduce this risk. We aimed to determine the cost-effectiveness of FH screening in Poland in children, first job takers, and after an acute coronary syndrome (ACS) event, each followed by a cascade screening in the relatives of the positively-diagnosed subjects. METHODS: A decision tree was constructed to model the diagnosis process. We considered scenarios with and without genetic testing. A life-time Markov was built to investigate the effectiveness (life years gained, LYG; and quality-adjusted life years, QALY) and cost (public payer perspective) of treatment in FH-affected subjects. The clinical benefits result from early treatment reducing the risk of coronary heart disease (and death, in result). Model parameters were based on published data and experts' opinions. The costs (patients visits, tests, drugs) were estimated from the National Health Fund data and other publicly-available sources. RESULTS: Screening ACS patients below 55/65 years of age in men/women is the most cost-effective strategy: the cost of one LYG (QALY) amounts to 100 EUR (110 EUR). Removing the age limit or using genetic tests reduced cost-effectiveness; nonetheless, all strategies remained cost effective: the cost of one LYG or QALY was <5040 EUR, much lower than the official threshold of ca. 29,800 EUR/QALY. CONCLUSIONS: Screening for FH is highly cost-effective in Poland. The strategies are complementary, and using a combination thereof is recommended.

Thirty-Day Readmission Rate and Costs After Percutaneous Coronary Intervention in the United States: A National Readmission Database Analysis.

BACKGROUND: The association of short-term readmissions after percutaneous coronary intervention (PCI) on healthcare costs has not been well studied. METHODS AND RESULTS: The Healthcare Cost and Utilization Project National Readmission Database encompassing 722 US hospitals was used to identify index PCI cases in patients ≥18 years old. Hierarchical regression analyses were used to examine the factors associated with risk of 30-day readmission and higher cumulative costs. We evaluated 206 869 hospitalized patients who survived to discharge after PCI from January through November 2013 and analyzed readmissions over 30 days after discharge. A total of 24 889 patients (12%) were readmitted within 30 days, with rates ranging from 6% to 17% across hospitals. Among the readmitted patients, 13% had PCI, 2% had coronary artery bypass surgery, and 3% died during the readmission. The most common reasons for readmission included nonspecific chest pain/angina (24%) and heart failure (11%). Mean cumulative costs were higher for those with readmissions ($39 634 versus $22 058; P<0.001). The multivariable analyses showed that readmission increased the log10 cumulative costs by 45% (ß: 0.445; P<0.001). There was no significant difference in cumulative costs by the type of insurance. CONCLUSIONS: In a national sample of inpatient PCI cases, 30-day readmissions were associated with a significant increase in cumulative costs. The majority of readmissions were because of low-risk chest pain that did not require any intervention. Ongoing effort is warranted to recognize and mitigate potentially preventable post-PCI readmissions.

Analysis of hospitalization expenditures and influencing factors for inpatients with coronary heart disease in a tier-3 hospital in Xi'an, China: A retrospective study.

BACKGROUND: The medical costs for inpatients with coronary heart disease (CHD) have risen to unprecedented levels, putting tremendous financial pressure on their families and the entire society. The objective of this study was to examine the actual direct medical costs of inpatients with CHD and to analyze the influencing factors of those costs, to provide advice on the prevention and control of high medical costs of patients with CHD. METHODS: A retrospective descriptive analysis of hospitalization expenditures data examined 10,301 inpatients with coronary heart disease of a tier-3 hospital in Xi'an from January 1, 2015 to December 31, 2015. The data included demographic information, the average length of stay, and different types of expenses incurred during the hospitalization period. The difference between different groups was analyzed using a univariate analysis, and the influencing factors of hospitalization expenditures were explored by the multiple linear stepwise regression analysis. RESULTS: The average age of these patients was 60.0 years old, the average length of stay was 4.0 days, and the majority were males (7172, 69.6%). The average hospitalization expenses were $6791.38 (3294.16-9, 732.59), and the top 3 expenses were medical consumables, operation fees, and drugs. The influencing factors of hospitalization expenditures included the length of stay, the number of times of admission, the type of medical insurance schemes, whether have a surgery or not, the gender, the age, and the marriage status. CONCLUSION: The inpatients with CHD in this tier-3 hospital were mostly over 45 years old. The average medical cost of males was much higher than that of females. Our findings suggest that the solution for tremendous hospitalization expenditures should be that more attention is paid to controlling the high expense of medical consumables and that the traditional method of reducing medical expenses by shortening the length of stay is still important in nowadays. Furthermore, the type of medical insurance schemes has different impacts on medical expenses. Reducing or controlling high hospitalization expenditures is a complicated process that needs multifaceted cooperation.

Are healthcare costs from obesity associated with body mass index, comorbidity or depression? Cohort study using electronic health records.

The objective of this study was to evaluate the association between body mass index (BMI) and healthcare costs in relation to obesity-related comorbidity and depression. A population-based cohort study was undertaken in the UK Clinical Practice Research Datalink (CPRD). A stratified random sample was taken of participants registered with general practices in England in 2008 and 2013. Person time was classified by BMI category and morbidity status using first diagnosis of diabetes (T2DM), coronary heart disease (CHD), stroke or malignant neoplasms. Participants were classified annually as depressed or not depressed. Costs of healthcare utilization were calculated from primary care records with linked hospital episode statistics. A two-part model estimated predicted mean annual costs by age, gender and morbidity status. Linear regression was used to estimate the effects of BMI category, comorbidity and depression on healthcare costs. The analysis included 873 809 person-years (62% female) from 250 046 participants. Annual healthcare costs increased with BMI, to a mean of £456 (95% CI 344-568) higher for BMI ≥40 kg m(-2) than for normal weight based on a general linear model. After adjusting for BMI, the additional cost of comorbidity was £1366 (£1269-£1463) and depression £1044 (£973-£1115). There was evidence of interaction so that as the BMI category increased, additional costs of comorbidity (£199, £74-£325) or depression (£116, £16-£216) were greater. High healthcare costs in obesity may be driven by the presence of comorbidity and depression. Prioritizing primary prevention of cardiovascular disease and diabetes in the obese population may contribute to reducing obesity-related healthcare costs.

[A pilot study to evaluate the DMP for coronary heart disease - Development of a methodology and first results]. / Pilotstudie zur Evaluation des DMP Koronare Herzkrankheit - Entwicklung einer Methodik und erste Ergebnisse.

Regarding the effectiveness of disease management programs (DMPs) in Germany, several studies have been published on the DMP for type 2 diabetes. This pilot study provides methodological insights into evaluating the DMP for coronary heart disease (CHD), which currently includes 1.7 million participants, and reveals trends in healthcare outcomes for mortality, guideline adherent prescribing and costs. Major methodological challenges that need to be considered for the development of an appropriate matching method for this indication have been identified. The results show positive trends in favor of the DMP regarding mortality, costs and medication according to guidelines. A matching design is applicable to the CHD indication; the knowledge gained regarding the quality of care can be used for a targeted development of the program.

The impact of social deprivation on coronary revascularisation treatment outcomes within the National Health Service in England and Wales.

BACKGROUND: There is strong evidence to suggest that social deprivation is linked to health inequalities. In the UK, concerns have been raised regarding disparities in the outcomes of acute cardiac services within the National Health Service (NHS). This study explored whether differences exist in (a) elective hospital presentation time (b) indicators of severity and disease burden and (c) treatment outcomes (hospital stay and mortality) on the basis of the index of multiple deprivation (IMD) status. DESIGN: This study was a retrospective analysis of data from NHS databases for 13,758 patients that had undergone cardiac revascularisation interventions at the Liverpool Heart and Chest Hospital between April 2007-March 2012. METHODS: The data was analysed by descriptive, univariate and multivariate statistics to explore the association between the IMD quintiles (Q1-Q5) and revascularisation type, elective presentation time, hospital length of stay and mortality. RESULTS AND CONCLUSIONS: Univariate analysis indicated that there were significant differences between patients from the most deprived areas (Q5) compared with patients from the least deprived areas (Q1), these included admission volumes, time before presentation to hospital and proportion of non-elective cases. After risk-adjustments, percutaneous coronary intervention patients from Q5 compared with Q1 had significantly greater length of hospital stay and risk of in-hospital major acute cardiovascular events. After multivariate adjustment for baseline risk factors, patients from Q5 were associated with significantly worse five-year survival as compared with Q1 (hazard ratio (HR) 1.52, 95% confidence interval (CI): 1.36-1.71; p < 0.001). In conclusion, there is evidence to suggest that inequalities in cardiac revascularisation choices and outcomes in the UK may be associated with social deprivation.

The associations between US state and local social spending, income inequality, and individual all-cause and cause-specific mortality: The National Longitudinal Mortality Study.

OBJECTIVE: To investigate government state and local spending on public goods and income inequality as predictors of the risks of dying. METHODS: Data on 431,637 adults aged 30-74 and 375,354 adults aged 20-44 in the 48 contiguous US states were used from the National Longitudinal Mortality Study to estimate the impacts of state and local spending and income inequality on individual risks of all-cause and cause-specific mortality for leading causes of death in younger and middle-aged adults and older adults. To reduce bias, models incorporated state fixed effects and instrumental variables. RESULTS: Each additional $250 per capita per year spent on welfare predicted a 3-percentage point (-0.031, 95% CI: -0.059, -0.0027) lower probability of dying from any cause. Each additional $250 per capita spent on welfare and education predicted 1.6-percentage point (-0.016, 95% CI: -0.031, -0.0011) and 0.8-percentage point (-0.008, 95% CI: -0.0156, -0.00024) lower probabilities of dying from coronary heart disease (CHD), respectively. No associations were found for colon cancer or chronic obstructive pulmonary disease; for diabetes, external injury, and suicide, estimates were inverse but modest in magnitude. A 0.1 higher Gini coefficient (higher income inequality) predicted 1-percentage point (0.010, 95% CI: 0.0026, 0.0180) and 0.2-percentage point (0.002, 95% CI: 0.001, 0.002) higher probabilities of dying from CHD and suicide, respectively. CONCLUSIONS: Empirical linkages were identified between state-level spending on welfare and education and lower individual risks of dying, particularly from CHD and all causes combined. State-level income inequality predicted higher risks of dying from CHD and suicide.

UK research spend in 2008 and 2012: comparing stroke, cancer, coronary heart disease and dementia.

OBJECTIVE: To assess UK governmental and charity research funding in 2012 for cancer, coronary heart disease (CHD), dementia and stroke, and to make comparisons with 2008 levels. DESIGN: Analysis of research expenditure. SETTING: United Kingdom. MAIN OUTCOME MEASURES: We identified UK governmental agencies and charities providing health research funding to determine the 2012 levels of funding for cancer, CHD, dementia and stroke. Levels of research funding were compared to burden of disease measures, including prevalence, disability adjusted life years and economic burden. RESULTS: The combined research funding into cancer, CHD, dementia and stroke by governmental and charity organisations in 2012 was £856 million, of which £544 million (64%) was devoted to cancer, £166 million (19%) to CHD, £90 million (11%) to dementia and £56 million (7%) to stroke. For every £10 of health and social care costs attributable to each disease, cancer received £1.08 in research funding, CHD £0.65, stroke £0.19 and dementia £0.08. A considerable shift in the distribution of government research funding was observed between 2008 and 2012. In 2008, 66% of governmental research funding into the four conditions under study was devoted to cancer, 21% to CHD, 9% to dementia and 4% to stroke. In 2012, the proportions devoted to dementia and stroke had increased to 21% and 12%, respectively, with cancer accounting for 45% of total research spend. CONCLUSIONS: Although there has been much progress by government to increase levels of research funding for dementia and stroke, these areas remain underfunded when compared with the burden of disease.

Socioeconomic factors and use of secondary preventive therapies for cardiovascular diseases in South Asia: The PURE study.

OBJECTIVE: The purpose of this study was to determine the association of socioeconomic factors on use of cardioprotective medicines in known coronary heart disease (CHD) or stroke in South Asia. METHODS: We enrolled 33,423 subjects aged 35-70 years (women 56%, rural 53%, low education 51%, low household wealth 25%) in 150 communities in India, Pakistan and Bangladesh during 2003-2009. Information regarding socioeconomic status, disease conditions and treatments was recorded. We studied influence of rural location, educational status and household wealth on use of drug therapies. Odds ratios (ORs) and 95% confidence intervals were calculated. RESULTS: CHD was reported in 683 (2.0%), stroke 316 (0.9%), and CHD/stroke in 970 (2.9%). Median duration since diagnosis was four years. Participants with CHD/stroke were older with greater prevalence of smoking, overweight, hypertension and diabetes (p < 0.01). In patients with CHD, stroke and CHD/stroke, respectively, use (%) of antiplatelets was 11.6, 3.8 and 9.3, beta-blockers 11.9, 7.0 and 10.4, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers 6.4, 1.9 and 5.3 and statins 4.8, 0.6 and 3.5. In CHD/stroke patients any one of these drugs was used in 18.1%, any two in 7.2%, any three in 2.8% and none in 81.5%. Details of drug dose were not available. Use of drugs was significantly lower in rural low education and low wealth index participants (all p < 0.01). Low wealth index participants had the lowest use of these therapies with no attenuation after multiple adjustments. CONCLUSION: The use of secondary preventive drug therapies in patients with known CHD or stroke in South Asia is low with over 80% receiving none of the effective drug treatments. Low household wealth is the most important determinant.

Rationale and design of the Clinical Evaluation of Magnetic Resonance Imaging in Coronary heart disease 2 trial (CE-MARC 2): a prospective, multicenter, randomized trial of diagnostic strategies in suspected coronary heart disease.

BACKGROUND: A number of investigative strategies exist for the diagnosis of coronary heart disease (CHD). Despite the widespread availability of noninvasive imaging, invasive angiography is commonly used early in the diagnostic pathway. Consequently, approximately 60% of angiograms reveal no evidence of obstructive coronary disease. Reducing unnecessary angiography has potential financial savings and avoids exposing the patient to unnecessary risk. There are no large-scale comparative effectiveness trials of the different diagnostic strategies recommended in international guidelines and none that have evaluated the safety and efficacy of cardiovascular magnetic resonance. TRIAL DESIGN: CE-MARC 2 is a prospective, multicenter, 3-arm parallel group, randomized controlled trial of patients with suspected CHD (pretest likelihood 10%-90%) requiring further investigation. A total of 1,200 patients will be randomized on a 2:2:1 basis to receive 3.0-T cardiovascular magnetic resonance-guided care, single-photon emission computed tomography-guided care (according to American College of Cardiology/American Heart Association appropriate-use criteria), or National Institute for Health and Care Excellence guidelines-based management. The primary (efficacy) end point is the occurrence of unnecessary angiography as defined by a normal (>0.8) invasive fractional flow reserve. Safety of each strategy will be assessed by 3-year major adverse cardiovascular event rates. Cost-effectiveness and health-related quality-of-life measures will be performed. CONCLUSIONS: The CE-MARC 2 trial will provide comparative efficacy and safety evidence for 3 different strategies of investigating patients with suspected CHD, with the intension of reducing unnecessary invasive angiography rates. Evaluation of these management strategies has the potential to improve patient care, health-related quality of life, and the cost-effectiveness of CHD investigation.

The future burden of obesity-related diseases in the 53 WHO European-Region countries and the impact of effective interventions: a modelling study.

OBJECTIVE: Non-communicable diseases (NCDs) are the biggest cause of death in Europe putting an unsustainable burden on already struggling health systems. Increases in obesity are a major cause of NCDs. This paper projects the future burden of coronary heart disease (CHD), stroke, type 2 diabetes and seven cancers by 2030 in 53 WHO European Region countries based on current and past body mass index (BMI) trends. It also tests the impact of obesity interventions on the future disease burden. SETTING AND PARTICIPANTS: Secondary data analysis of country-specific epidemiological data using a microsimulation modelling process. INTERVENTIONS: The effect of three hypothetical scenarios on the future burden of disease in 2030 was tested: baseline scenario, BMI trends go unchecked; intervention 1, population BMI decreases by 1%; intervention 2, BMI decreases by 5%. PRIMARY AND SECONDARY OUTCOME MEASURES: Quantifying the future burden of major NCDs and the impact of interventions on this future disease burden. RESULTS: By 2030 in the whole of the European region, the prevalence of diabetes, CHD and stroke and cancers was projected to reach an average of 3990, 4672 and 2046 cases/100 000, respectively. The highest prevalence of diabetes was predicted in Slovakia (10 870), CHD and stroke-in Greece (11 292) and cancers-in Finland (5615 cases/100 000). A 5% fall in population BMI was projected to significantly reduce cumulative incidence of diseases. The largest reduction in diabetes and CHD and stroke was observed in Slovakia (3054 and 3369 cases/100 000, respectively), and in cancers was predicted in Germany (331/100 000). CONCLUSIONS: Modelling future disease trends is a useful tool for policymakers so that they can allocate resources effectively and implement policies to prevent NCDs. Future research will allow real policy interventions to be tested; however, better surveillance data on NCDs and their risk factors are essential for research and policy.

Same day discharge after elective percutaneous coronary intervention.

Same-day percutaneous coronary intervention (PCI) is a reality with modern interventional equipment and pharmaceutical agents. Elective PCI is rarely an inpatient procedure and is now predominantly considered an outpatient procedure. Approaches to safely manage elective patients through same-day PCI have been well described in the literature and demonstrate no safety signal compared with overnight monitoring in the elective patient. With the costs of elective PCI being time dependent in comparison to fixed reimbursement of outpatient care, the efficiencies to bed utilization offered by same-day PCI make this attractive from an efficiency view point. Patient satisfaction improves with same-day discharge. The potential for cost-efficient care can only be maximized if health care providers view this shift to outpatient PCI care as an impetus to improve the whole care process rather than an administrative change with no effect on actual patient care. Same-day PCI is effective and can be integrated into modern health care.

Health equity audits in general practice: a strategy to reduce health inequalities.

BACKGROUND: This quality improvement project was set in Tower Hamlets, east London, with the aim of reducing health inequalities by ethnicity, age and gender in the management of three common chronic diseases. METHODS: Routinely collected clinical data were extracted from practice computer systems using Morbidity Information Query and Export Syntax (MIQUEST) and Egton Medical Information Systems (EMIS) Web, between 2007 and 2010. Health equity audits for 38 practices in Tower Hamlets primary care trust (PCT) were constructed to cover key process and outcome measures for each of the three major chronic diseases: coronary heart disease (CHD), type 2 diabetes mellitus and chronic obstructive pulmonary disease (COPD). The equity audit was disseminated to practices along with facilitation sessions. RESULTS: We show evidence of baseline inequalities in each condition across the three east London PCTs. The intervention tracked four key indicators (cholesterol levels in CHD, blood pressure and haemoglobin A1c levels in diabetes and % smoking in COPD). Performance for physician-driven interventions improved, but smoking rates remained static. All ethnic groups showed improvement, but there was no evidence of a reduction in differences between ethnic groups. Reductions in gender and age group differences were noted in diabetes and CHD. CONCLUSIONS: Using routine clinical data, it is possible to develop practice-level health equity reports. These can unmask previously hidden inequalities between groups, and promote discussion with practice teams to stimulate strategies for improvements in performance. Steady improvements in chronic disease management were observed, however, systematic differences between ethnic groups remain. We are not able to attribute observed changes to the audits. These reports illustrate the importance of collecting ethnicity data at practice level. Tools such as this audit can be adapted to monitor inequalities in primary care settings.

Prevalence of depression and utilization of health care in single and multiple morbidity: a population-based cohort study.

BACKGROUND: This study aimed to determine whether depression in patients with long-term conditions is associated with the number of morbidities or the type of co-morbidity. Method A cohort study of 299 912 participants aged 30-100 years. The prevalence of depression, rates of health-care utilization and costs were evaluated in relation to diagnoses of diabetes mellitus (DM), coronary heart disease (CHD), stroke and colorectal cancer. RESULTS: The age-standardized prevalence of depression was 7% in men and 14% in women with no morbidity. The frequency of depression increased in single morbidities including DM (men 13%, women 22%), CHD (men 15%, women 24%), stroke (men 14%, women 26%) or colorectal cancer (men 10%, women 21%). Participants with concurrent diabetes, CHD and stroke had a very high prevalence of depression (men 23%, women 49%). The relative rate of depression for one morbidity was 1.63 [95% confidence interval (CI) 1.59-1.66], two morbidities 1.96 (95% CI 1.89-2.03) and three morbidities 2.35 (95% CI 2.03-2.59). Compared to those with no morbidity, depression was associated with higher rates of health-care utilization and increased costs at any level of morbidity. In women aged 55 to 64 years without morbidity, the mean annual health-care cost was £513 without depression and £1074 with depression; when three morbidities were present, the cost was £1495 without depression and £2878 with depression. CONCLUSIONS: Depression prevalence and health-care costs are more strongly associated with the number of morbidities than the nature of the co-morbid diagnosis.

The economic cost of physical inactivity in China.

OBJECTIVE: To estimate the total economic burden of physical inactivity in China. METHOD: The costs of physical inactivity combine the medical and non-medical costs of five major Non Communicable Diseases (NCDs) associated with inactivity. The national data from the Chinese Behavioral Risk Factors Surveillance Surveys (2007) and the National Health Service Survey (2003) are used to compute population attributable risks (PARs) of inactivity for each major NCD. Costs specific to inactivity are obtained by multiplying each disease costs by the PAR for each NCD, by incorporating the inactivity effects through overweight and obesity. RESULTS: Physical inactivity contributes between 12% and 19% to the risks associated with the five major NCDs in China, namely coronary heart disease, stroke, hypertension, cancer, and type 2 diabetes. Physical inactivity is imposing a substantial economic burden on the country, as it is responsible alone for more than 15% of the medical and non-medical yearly costs of the main NCDs in the country. CONCLUSIONS: The high economic burden of physical inactivity implies the need to develop more programs and interventions that address this modifiable behavioral risk, in order to curb the rising NCDs epidemic in China.