Socioeconomic inequalities in drug utilization for Sweden: evidence from linked survey and register data

Explanation of Socio-economic Inequality in Medicine Use: A Cross-sectional Analysis from Iran

Background

Despite the favorable progress in the production of medicines, there is no significant access to these important health inputs among different socio-economic groups.

Objectives

This study aimed to measure and explain socio-economic inequality in prescribed and non-prescribed medicine use in Iran.

Methods

Data were obtained from a recent household survey on health services in Iran conducted in 2016. The Erreygers concentration index (ECI) was used to measure socio-economic inequality in the use of prescribed and non-prescribed medicines. In addition, Decomposition analysis was conducted to explain socio-economic inequality.

Results

The ECI revealed pro-rich socio-economic inequality in prescribed medicine use (ECI = 0.067, SE = 0.010), indicating that prescribed medicine use was concentrated on the better-offs. On the other hand, this index showed pro-poor inequality in non-prescribed medicine use (ECI = -0.064, SE = 0.009). Decomposition analysis showed that economic status and place of residence were the main determinants of socio-economic inequality in prescribing medicines. These factors and the number of health care needs explained the majority of socio-economic inequality in non-prescribed medicine use.

Conclusions

Despite previous positive beliefs, we found remarkable socio-economic inequality in the use of medicines in Iran. Facilitating access to pharmaceutical services for disadvantaged households and rural residents and promoting of national essential medicines list could be recommended against socio-economic inequality in the pharmaceutical market of Iran.

Full-Time or Working Caregiver? A Health Economics Perspective on the Supply of Care for Type 1 Diabetes Patients

Type 1 diabetes mellitus (T1DM) is a chronic disease requiring lifelong insulin treatment. T1DM patients require care given not only by themselves but also by their family members, particularly in childhood-onset cases. This study aims to identify the relationship between health expenditure, HbA1c and other health outcomes and the socio-economic status of patients and their families, with a focus on family employment status, i.e., whether the caregiver is employed or is a homemaker. To clarify the relationship between the level of health, such as expenditure on health care and HbA1c, and the socioeconomic status of patients and their families, we focus on whether they are “potential full-time caregivers”. Using this analysis, we estimated the hypothetical health care expenditure and HbA1c and showed that male patients have higher expenditure and lower HbA1c when their caregiver is a potential full-time caregiver, whereas younger female patients have higher health care expenditure and lower HbA1c when their caregiver is employed. This finding is not meant to serve as criticism of health care policy in this area; rather, the aim is to contribute to economic policy in Japan for T1DM patients 20 years and older.

Determinants of long-term opioid prescribing in an urban population- a cross sectional study

BACKGROUND

Opioid prescribing has more than doubled in the UK between 1998 and 2016. Potential adverse health implications include dependency, falls and increased health expenditure.

AIM

To describe the predictors of long-term opioid prescribing (LTOP), (≥3 opioid prescriptions in a 90-day period).

DESIGN AND SETTING

A retrospective cross-sectional study in 41 General Practices in South London.

METHOD

Multi-level multivariable logistic regression to investigate the determinants of LTOP.

RESULTS

2,679 (0.8%) out of 320,639 registered patients ≥18 years were identified as having LTOP. Patients Were most likely to have LTOP, if: they had ≥5 long term conditions (LTCs) (adjusted odds ratio [AOR] 36.5, 95% confidence interval [CI] 30.4-43.8) or 2-4 LTCs (AOR 13.8, CI 11.9-16.1), in comparison to no LTCs, ≥75 years compared to 18-24 years (AOR 12.31, CI 7.1-21.5), smokers compared to non-smokers (AOR 2.2, CI 2.0-2.5), females compared to males (AOR 1.9, CI 1.7-2.0) and in the most deprived deprivation quintile (AOR 1.6, CI 1.4-1.8) compared to the least deprived. In a separate model examining individual long-term conditions (LTCs), the strongest associations for LTOP were noted for sickle cell disease (SCD) (AOR 18.4, CI 12.8-26.4), osteoarthritis (AOR 3.0, CI 2.8-3.3), rheumatoid arthritis (AOR 2.8, CI 2.2-3.4), depression (AOR 2.6, CI 2.3-2.8) and multiple sclerosis (OR 2.5, CI 1.4-4.4).

CONCLUSION

LTOP was significantly higher in those aged ≥75 years, with multi-morbidity or specific LTCs: sickle cell disease, osteoarthritis, rheumatoid arthritis, depression, and multiple sclerosis. These characteristics may enable the design of targeted interventions to reduce LTOP.

Health care use in response to health shocks: Does socio-economic status matter?

We investigate how utilization of primary care, specialist care, and emergency department (ED) care (and the mix across the three) changes in response to a change in health need. We determine whether any changes in utilization are impacted by socio-economic status. The use of a unique Australian data set that consists of a large survey linked to multiple years of detailed administrative records enables us to better control for individual heterogeneity and allows us to exploit changes in health that are related to the onset of two health shocks: a new diagnosis of diabetes and heart disease. We extend the analysis by also examining changes to patient out-of-pocket costs. We find significant differences in the mix between primary and specialist care use according to income and type of health shock but no evidence of using ED as a substitute for other care. Our results indicate that low- and high-income patients navigate very different pathways for their care following the onset of diabetes and to a lesser extent heart disease. These pathways appear to be chosen on the basis of ability to pay, rather than the most effective or efficient bundle of care delivered through a combination of GP and specialist care.

Patient educational level and management of bipolar disorder

BACKGROUND

Socioeconomic factors can affect healthcare management.

AIMS

The aim was to investigate if patient educational attainment is associated with management of bipolar disorder.

METHOD

We included patients with bipolar disorder type 1 (n = 4289), type 2 (n = 4020) and not otherwise specified (n = 1756), from the Swedish National Quality Register for Bipolar Disorder (BipoläR). The association between patients' educational level and pharmacological and psychological interventions was analysed by binary logistic regression. We calculated odds ratios after adjusting for demographic and clinical variables.

RESULTS

Higher education was associated with increased likelihood of receiving psychotherapy (adjusted odds ratio 1.34, 95% CI 91.22-1.46) and psychoeducation (adjusted odds ratio 1.18, 95% CI 1.07-1.46), but with lower likelihood of receiving first-generation antipsychotics (adjusted odds ratio 0.76, 95% CI 0.62-0.94) and tricyclic antidepressants (adjusted odds ratio 0.76, 95% CI 0.59-0.97). Higher education was also associated with lower risk for compulsory in-patient care (adjusted odds ratio 0.79, 95% CI 0.67-0.93).

CONCLUSIONS

Pharmacological and psychological treatment of bipolar disorder differ depending on patients' educational attainment. The reasons for these disparities remain to be explained.

Decomposition of income-related inequality in upper secondary school completion in Sweden by mental health, family conditions and contextual characteristics

Background

While previous research has evidently and extensively acknowledged socioeconomic gradients in children's education, we know very little about the determinants of socioeconomic-related inequality in children's education at the population level in Sweden. Therefore, we aimed: (i) to assess the extent of income inequality in upper secondary school completion in Sweden; (ii) to examine the contribution of mental health and other determinants to income inequality; and (iii) to explore gender differences in the magnitude and determinants of the inequalities.

Method

We utilised data from a population-based cohort available in Umeå SIMSAM Lab, linked with several national registries in Sweden. The dataset includes all children who were born in Sweden in 1991 and completed or not completed their upper secondary education in 2010, n = 116,812 (56,612 girls and 60,200 boys). We analysed the data using a Wagstaff-type decomposition method.

Results

The results first show substantial income-related inequality in upper secondary school incompletion concentrated among the poor in the Swedish setting. Second, these inequalities were in turn to a large degree explained jointly by parental, family and child factors; primarily parents' income and education, number of siblings and child's poor mental health. Third, these inferences remained when boys and girls were considered separately, although the determinants explained a greater share of the inequalities in boys than in girls.

Conclusion

Our results highlighted substantial income-related inequality in upper secondary school incompletion concentrated among the poor in the Swedish setting. Apart from family level characteristics, which explained a large portion of the inequalities, mental health problems appeared to be of particular importance as they represent a central target for both increasing the population average in upper secondary school completion and for reducing the gap in income-related inequalities in Sweden.

•

Income gradients in upper secondary school completion are well-known.

•

What is less known is what determines income-related inequality.

•

Mental health increases school completion and reduces income-related inequality.

Socio-economic and behavioral determinants of prescription and non-prescription medicine use: the case of Turkey

BACKGROUND

Demographic and socio-economic factors determine pharmaceutical health care utilization for individuals. Prescription and non-prescription medicine use are expected to have different determinants. Even though prescription and non-prescription medicine use is being well researched for developed countries, there are only a few studies for developing countries.

OBJECTIVES

This paper aims to analyze the socio-economic and individual characteristics that determine the use of prescription and non-prescription medicine. We examine the issue for the specific case of Turkey since Turkey's health system has undertaken significant changes in the last two decades and especially after 2003 with the "Health Transformation Programme".

METHODS

Data from the nationally representative "Health Survey" are used in the analysis. The data set covers the 2008-2016 period with two-year intervals. Pooled multivariate logistic regression is employed to identify the underlying determinants of prescription and non-prescription medicine use.

RESULTS

When compared to 2008, non-prescription medicine use decreases until 2012, however, an increasing trend appears after 2012. For prescription medicine use, a decreasing trend emerges after 2012. Findings from the marginal effects indicate that for non-prescription medicine use, the highest effect stems from the health status. For prescription medicine use, the highest marginal effects arise from age, health and employment status indicating the importance of the need and predisposing factors.

CONCLUSION

Decreasing non-prescription medicine use largely depends on easier access to health care service utilization. Although having a health insurance has a positive relationship with prescription medicine use, there is still a problem for individuals living a rural area and heaving a lower income level since they are more likely to use non-prescription medicine.

"I did not know it was so important to take it the whole time" - self-reported barriers to medical treatment among individuals with asthma

BACKGROUND

Asthma is an extensive public health problem and inadequate disease control is not uncommon. Individuals' self-perceived barriers to medical treatment for the entire treatment chain (from seeking care for symptoms to using a medicine) have seldom been studied for chronic diseases such as asthma. The aim of this study was to explore self-perceived barriers to medical treatment among individuals with asthma within the framework of AAAQ (availability, accessibility, acceptability and quality).

METHODS

Individuals with asthma visiting the asthma nurse at a primary health care centre, and who currently had a prescription for anti-asthmatic medicines, were informed about the study. The nurse asked the persons for their consent to be contacted by an interviewer. The interview guide was constructed from the elements of AAAQ exploring self-perceived barriers to asthma treatment. Interviews were conducted in Swedish, English, Arabic and Persian. They were transcribed verbatim and a manifest content analysis was conducted.

RESULTS

Fourteen interviews were conducted. There was a large variation in both age and reported number of years with asthma. Self-perceived barriers to asthma treatment were experienced throughout the whole treatment chain. Barriers that emerged were health care accessibility, perceived quality of care, beliefs about medicines, life circumstances, knowledge gap about asthma and medicines, practical obstacles to using medicines, and experiences with treatment. The self-perceived barriers cover all four elements of AAAQ, but there are also some barriers that go beyond those elements (life circumstances and practical obstacles to using medicines).

CONCLUSIONS

Self-perceived barriers among individuals with asthma cover the whole treatment chain. We want to highlight the inadequate information/education of patients leading to knowledge gaps about both disease and the effect of medicines, and also the perceived unsatisfactory treatment at the PHCC, which could partly be counteracted if patients know what to expect from health care visits.

Income disparities in healthcare use remain after controlling for healthcare need: evidence from Swedish register data on psoriasis and psoriatic arthritis

We used a southern Swedish cohort of psoriasis (PSO) and psoriatic arthritis (PsA) patients and population-based referents (N = 57,800) to investigate the influence of socioeconomic and demographic factors on the probability of healthcare use and on healthcare costs when controlling for need as measured by PSO/PsA and common additional morbidities such as diabetes, depression and myocardial infarction. People with PSO/PsA were identified by ICD-10 codes in the Skåne Healthcare Register 1998-2007. Resource use and costs for years 2008-2011 were retrieved from the Skåne Healthcare Register and the Swedish Prescribed Drug Register, and socioeconomic data were retrieved from Statistics Sweden. After controlling for PSO/PsA and common additional morbidities, income, and to some extent education, had significant effects on the probability of five types of healthcare use. Overall, income showed a bell-shaped relationship to healthcare costs, with patients in income quintiles 2 and 3 having the highest mean annualized cost irrespective of model specification. Education did not have a significant effect in most specifications. Analyses including interaction effects indicated similarly higher costs across income quintiles in the PSO and PsA subgroups, though these cost differences were lower in magnitude for patients with PSO in quintile 5 and with PsA in quintile 1. In conclusion, our results show persistent socioeconomic disparities in healthcare use among a cohort of chronically ill patients and referents, even after controlling for the presence of PSO/PsA and common additional morbidities. These disparities persist even in a country with general healthcare coverage and low out-of-pocket payments.

Does risk-adjusted payment influence primary care providers' decision on where to set up practices?

Background

Providing equal access to health care is an important objective in most health care systems. It is especially pertinent in systems like the Swedish primary care market, where private providers are free to establish themselves in any part of the country. To improve equity in access to care, 15 out 21 county councils in Sweden have implemented risk-adjusted capitation based on the Care Need Index, which increases capitation to primary care centers with a large share of patients with unfavorable socioeconomic and demographic characteristics. Our aim is to estimate the effects of using care-need adjusted capitation on the supply of private primary care centers.

Method

We use a dataset that combines information on all primary care centers in Sweden during 2005–2013, the payment system and other conditions for establishing new primary care centers used in the county councils, and demographic, geographic, and socioeconomic variables for low-level geographic areas. To estimate the effects of care-need adjusted capitation, we use difference-in-differences models, contrasting the development over time between areas with and without risk-adjusted capitation, and with high and low Care Need Index values.

Results

Risk-adjusted capitation significantly increases the number of private primary care centers in areas with relatively high Care Need Index values. The adjustment results in a changed distribution of private centers within county councils; the total number of private centers does not increase in county councils using care-need adjusted capitation. The effects are furthermore increasing over the first three years after the implementation of such capitation, and concentrated to the lower and middle range of the group of areas with high index values.

Conclusions

Risk-adjusted capitation based on the Care Need Index increases the supply of private primary care centers in areas with unfavorable socioeconomic and demographic characteristics. More generally, this result indicates that risk-adjusted capitation can significantly affect private providers’ establishment decisions.

Electronic supplementary material

The online version of this article (10.1186/s12913-018-2983-3) contains supplementary material, which is available to authorized users.

The Consumption of Conventional and Nonconventional Medicines in an Italian Province: The Influence of Sociodemographic Factors and Health Beliefs

Many studies have investigated the factors that influence the consumption of medicines. This article aims to compare how these factors affect both conventional medicines (prescription and over-the-counter (OTC) medicines) and nonconventional ones, also named as complementary and alternative medicines (CAM). A questionnaire was administered to a purposive sample of 4,074 inhabitants of the province of Mantua, Italy. Logical regressions were used to identify the variables influencing frequency of use. The consumption frequency of various types of medicines was associated not only with demographic aspects (such as gender, age, and education level) but also with everyday treatment strategies (such as self-medication habits and use of the Internet for medical aims) and health beliefs. From this last point of view, the use of conventional and nonconventional medicines is guided by 2 principal therapeutic attitudes, one aimed at removing all pathological aspects from everyday life and the other at contextualizing health problems within a broader philosophical search.

Big Data: Will It Improve Patient-Centered Care?

Within a generation, empirical researchers have experienced unprecedented increases in the availability of data. 'Big data' has arrived with considerable hype and a sense that these are dramatic shifts in the research environment that have wide-reaching implications across many disciplines. There is no doubt that the analysis of new and varied sources of data currently available to researchers in health have the potential to better measure, monitor and describe health outcomes of patients and to uncover interesting patterns in how patients respond to treatments and interact with the health system. What is less clear is whether answers are readily available to more nuanced and substantive research questions. Here, the data-rich environment needs to be complemented by considerable research effort developing novel research designs and generating new and improved methods of analysis. Importantly, this will require researchers to be able to combine data from multiple sources and to be pro-active in data collection.

Sociodemographic patterns in pharmacy dispensing of medications for erectile dysfunction in Sweden

Purpose

The purpose of this study is to investigate the relationship between sociodemographic factors and pharmacy dispensing of medications for erectile dysfunction (ED) in the general population of middle-aged and elderly men. By considering a number of medical conditions that could promote or contraindicate use of ED medication, the analysis could help capture prescription patterns that might not be explained by medical needs.

Methods

Individual-level pharmacy dispensing data from 2006 for a population-based cohort of 216,148 men aged 45–79 years in the county Scania, Sweden, were analysed. Multiple logistic regression was applied, and area under the receiver operating characteristic curve (AUC) was calculated to quantify the discriminatory accuracy (DA) of the associations. National trends in pharmacy dispensing of ED medication between 2006 and 2016 were also analysed.

Results

Pharmacy dispensing of ED medication increased between 2006 and 2016, particularly among men aged 65–79 years (from 6.8 to 9.2%). Dispensing of ED medication was positively associated with higher socioeconomic position, and divorced and widowed men were more likely to fill a prescription with ED medication than married men. These associations remained after adjusting for medical conditions. The DA of the associations was, however, rather low (AUC = 0.69 among 45–64 year olds and AUC = 0.65 among 65–79 year olds).

Conclusions

Pharmacy dispensing of ED medication seem linked to the individuals socioeconomic position, age and marital status suggesting sociodemographic disparities in the pharmacy dispensing targeting sexual function. However, the low DA of the associations shows the limited capacity of these factors to predict ED medication use at the individual level.

Financial crisis and income-related inequalities in the universal provision of a public service: the case of healthcare in Spain

Background

The objective of this paper is to analyse whether the recent recession has altered health care utilisation patterns of different income groups in Spain.

Methods

Based on information concerning individuals ‘income and health care use, along with health need indicators and demographic characteristics (provided by the Spanish National Health Surveys from 2006/07 and 2011/12), econometric models are estimated in two parts (mixed logistic regressions and truncated negative binominal regressions) for each of the public health services studied (family doctor appointments, appointments with specialists, hospitalisations, emergencies and prescription drug use).

Results

The results show that the principle of universal access to public health provision does not in fact prevent a financial crisis from affecting certain income groups more than others in their utilisation of public health services.

Conclusions

Specifically, in relative terms the recession has been more detrimental to low-income groups in the cases of specialist appointments and hospitalisations, whereas it has worked to their advantage in the cases of emergency services and family doctor appointments.

Mental-health and educational achievement: the link between poor mental-health and upper secondary school completion and grades

BACKGROUND

Education profoundly affects adult socioeconomic status, so it is important to ensure that all children have the capability and opportunity to achieve educational goals.

AIMS

The study aimed to examine the relationship between mental-health during adolescence and upper secondary school completion and grades, which has received comparatively little research attention to date.

METHOD

Longitudinal administrative and registered data were used to analyse the relationship between school achievement and prescriptions of psycholeptic and psycho-analeptic drugs. The sample consisted of all children born in Sweden in 1990 (n = 109 223), who were followed from birth to age 20. Logistic and OLS regressions were performed separately for boys and girls, controlling for birth health and family characteristics.

RESULTS

A negative relationship between mental-health problems and educational outcomes was found; this result was almost independent of the controls. Only minor differences between the sexes were detected.

CONCLUSIONS

Poor mental-health during childhood correlated negatively with educational attainment. Given the strong link between educational success and adult life, more resources are needed to support children with mental-health problems.

Are There Inequities in Treatment of End-Stage Renal Disease in Sweden? A Longitudinal Register-Based Study on Socioeconomic Status-Related Access to Kidney Transplantation

Socioeconomic status-related factors have been associated with access to kidney transplantation, yet few studies have investigated both individual income and education as determinates of access to kidney transplantation. Therefore, this study aims to explore the effects of both individual income and education on access to kidney transplantation, controlling for both medical and non-medical factors. We linked the Swedish Renal Register to national registers for a sample of adult patients who started Renal Replacement Therapy (RRT) in Sweden between 1 January 1995, and 31 December 2013. Using uni- and multivariate logistic models, we studied the association between pre-RRT income and education and likelihood of receiving kidney transplantation. For non-pre-emptive transplantation patients, we also used multivariate Cox proportional hazards regression analysis to assess the association between treatment and socioeconomic factors. Among the 16,215 patients in the sample, 27% had received kidney transplantation by the end of 2013. After adjusting for covariates, the highest income group had more than three times the chance of accessing kidney transplantation compared with patients in the lowest income group (odds ratio (OR): 3.22; 95% confidence interval (CI): 2.73–3.80). Patients with college education had more than three times higher chance of access to kidney transplantation compared with patients with mandatory education (OR: 3.18; 95% CI: 2.77–3.66). Neither living in the county of the transplantation center nor gender was shown to have any effect on the likelihood of receiving kidney transplantation. For non-pre-emptive transplantation patients, the results from Cox models were similar with what we got from logistic models. Sensitive analyses showed that results were not sensitive to different conditions. Overall, socioeconomic status-related inequities exist in access to kidney transplantation in Sweden. Additional studies are needed to explore the possible mechanisms and strategies to mitigate these inequities.

Investigation of social, demographic and health variations in the usage of prescribed and over-the-counter medicines within a large cohort (South Yorkshire, UK)

OBJECTIVES

Prescribed and over-the-counter (non-prescribed) medicine usage has increased in recent years; however, there has been less investigation of the socioeconomic predictors of use. This has been due to a lack of data, especially for over-the-counter medicines. Our study aims to understand how prescribed and over-the-counter medicine patterns vary by demographic, social and health characteristics within a large population cohort.

DESIGN

Cross-sectional data analysis.

SETTING

South Yorkshire, UK.

PARTICIPANTS

27 806 individuals from wave 1 of the Yorkshire Health Study (2010-2012).

MEASURES

Individuals self-reported each medicine they were taking and whether each was prescribed or not. The medicines were grouped into 14 categories (eg, cardiovascular system, infection, contraception). Negative binomial regression models were used to analyse the count of medicine usage. We included demographic (age, gender, ethnicity), social (education), health-related (body mass index, smoking, alcohol consumption, physical activity) factors and chronic health conditions (eg, stroke, anxiety and heart disease) in our analyses.

RESULTS

49% of men and 62% of women were taking medicine with the majority of this prescribed (88% and 83%, respectively). Health conditions were found to be positively associated with prescribed medicine usage, but mixed in their associated with over-the-counter medicines. Educational attainment was negatively associated with prescribed and positively associated with over-the-counter usage.

CONCLUSIONS

Our study addresses a dearth of evidence to provide new insights into how behaviours in medicine usage vary by demographic, social and health-related factors. Differences in over-the-counter medicine usage by educational attainment may help our understanding of the determinants of health inequalities.

Inequalities in medicine use in Central Eastern Europe: an empirical investigation of socioeconomic determinants in eight countries

BACKGROUND

Equitable access to essential medicines is a major challenge for policy-makers world-wide, including Central and Eastern European countries. Member States of the European Union situated in Central and Eastern Europe have publicly funded pharmaceutical reimbursement systems that should promote accessibility and affordability of, at least essential medicines. However, there is no knowledge whether socioeconomic inequalities exist in these countries. Against this backdrop, this study analyses whether socioeconomic determinants influence the use of prescribed and non-prescribed medicines in eight Central and Eastern European countries (Bulgaria, Czech Republic, Hungary, Latvia, Poland, Romania, Slovenia, Slovakia). Further, the study discusses observed (in)equalities in medicine use in the context of the pharmaceutical policy framework and the implementation in these countries.

METHODS

The study is based on cross-sectional data from the first wave of the European Health Interview Survey (2007-2009). Multivariate logistic regression analyses were carried out to determine the association between socioeconomic status (measured by employment status, education, income; controlled for age, gender, health status) and medicine use (prescribed and non-prescribed medicines). This was supplemented by a pharmaceutical policy analysis based on indicators in four policy dimensions (sustainable funding, affordability, availability and accessibility, and rational selection and use of medicines).

RESULTS

Overall, the analysis showed a gradient favouring individuals from higher socioeconomic groups in the consumption of non-prescribed medicines in the eight surveyed countries, and for prescribed medicines in three countries (Latvia, Poland, Romania). The pharmaceutical systems in the eight countries were, to varying degrees, characterized by a lack of (public) funding, thus resulting in high and growing shares of private financing (including co-payments for prescribed medicines), inefficiencies in the selection of medicines into reimbursement and limitations in medicines availability.

CONCLUSION

Pharmaceutical policies aiming at reducing inequalities in medicine use require not only a consideration of the role of co-payments and other private expenditure but also adequate investment in medicines and transparent and clear processes regarding the inclusion of medicines into reimbursement.

Recommended drug use after acute myocardial infarction by migration status and education level

PURPOSE

The purpose of this study is to investigate the association between migration status and education level and the use of recommended drugs after first acute myocardial infarction (MI).

METHODS

A nationwide cohort study performed in Sweden from January 1, 2006 to August 1, 2008. The cohort consisted of 49,037 incident cases of first acute MI. In total, 37,570 individuals survived 180 days after MI, of whom 4782 (12.7%) were foreign-born. We used logistic regression to estimate the odds ratio (OR) with 95% confidence interval (CI) of the association between migration status and education level and prescribed drugs after MI.

RESULTS

One third of the patients who were not on any recommended cardiovascular drugs before MI continued to be without recommended cardiovascular drugs after MI. Among those with no cardiovascular drugs before MI, we found no difference in recommended drug use after MI by migration status (OR 1.00, 95% CI 0.89-1.12). Among those with some but not all recommended cardiovascular drugs before MI, foreign-born cases had a slightly non-significant lower use of recommended drugs (OR 0.92, 95% CI 0.83-1.03). Foreign-born patients with low education had a slightly lower use of recommended drug compared to Sweden-born. Women with low education had a lower use of drugs after MI (Sweden born, OR 0.85; 95% CI 0.74-0.96 and foreign born OR 0.51; 95% CI 0.34-0.77).

CONCLUSION

There is no apparent difference between foreign-born and Sweden-born in recommended drug use after MI. However, our study reveals an inequity in secondary prevention therapy after myocardial infarction by education level.

Socioeconomic determinants of prescribed and non-prescribed medicine consumption in Austria

BACKGROUND

Equitable access to health care is a goal subscribed to in many European economies. But while a growing body of literature studies socioeconomic inequalities in health service use, relatively little is still known about inequalities in medicine consumption. Against this background, this study investigates the (socioeconomic) determinants of medicine use in the Austrian context.

METHODS

Multivariate logistic regressions were estimated based on the European Health Interview Survey, including representative information of the Austrian population above age 25 (n = 13 291) for 2006/2007. As dependent variables, we used prescribed and non-prescribed medicine consumption as well as prescribed polypharmacy. Socioeconomic status was operationalized by employment status, education and net equivalent income. Health indicators (self-assessed health, chronic conditions), demographic characteristics (age, sex) and outpatient visits were included as control variables.

RESULTS

Socioeconomic status revealed opposing utilization patterns: while individuals with higher education and income were more likely to consume non-prescribed medicines, the less educated were more likely to take prescribed medicines. Lower socioeconomic groups also showed a higher likelihood for prescribed polypharmacy. For the consumption of both medicine types, the main socioeconomic determinant was high income. In an additional analysis, lower socioeconomic groups were found to more likely report prescription purposes as the main reason for consulting a practitioner.

CONCLUSION

These results point to different behavioural responses to ill health, not least determined by institutional incentives in the Austrian health care system.

Treatment pattern of type 2 diabetes differs in two German regions and with patients' socioeconomic position

Background

Diabetes treatment may differ by region and patients' socioeconomic position. This may be particularly true for newer drugs. However, data are highly limited.

Methods

We examined pooled individual data of two population-based German studies, KORA F4 (Cooperative Health Research in the Region of Augsburg, south), and the HNR (Heinz Nixdorf Recall study, west) both carried out 2006 to 2008. To ascertain the association between region and educational level with anti-hyperglycemic medication we fitted poisson regression models with robust error variance for any and newer anti-hyperglycemic medication, adjusting for age, sex, diabetes duration, BMI, cardiovascular disease, lifestyle, and insurance status.

Results

The examined sample comprised 662 participants with self-reported type 2 diabetes (KORA F4: 83 women, 111 men; HNR: 183 women, 285 men). The probability to receive any anti-hyperglycemic drug as well as to be treated with newer anti-hyperglycemic drugs such as insulin analogues, thiazolidinediones, or glinides was significantly increased in southern compared to western Germany (prevalence ratio (PR); 95% CI: 1.12; 1.02–1.22, 1.52;1.10–2.11 respectively). Individuals with lower educational level tended to receive anti-hyperglycemic drugs more likely than their better educated counterparts (PR; 95% CI univariable: 1.10; 0.99–1.22; fully adjusted: 1.10; 0.98–1.23). In contrast, lower education was associated with a lower estimated probability to receive newer drugs among those with any anti-hyperglycemic drugs (PR low vs. high education: 0.66; 0.48–0.91; fully adjusted: 0.68; 0.47–0.996).

Conclusions

We found regional and individual social disparities in overall and newer anti-hyperglycemic medication which were not explained by other confounders. Further research is needed.

Asthma incidence in children growing up close to traffic: a registry-based birth cohort

BACKGROUND

Recent reviews conclude an association between traffic-related pollution and incidence of asthma in children, but not all studies agree. Studies have almost exclusively relied on parental-reported symptoms or parental-reported diagnoses of asthma and wheeze. Our aim was to investigate if traffic exposure is associated with higher incidence of early onset asthma, using registry-based outcome data.

METHODS

We investigated a birth cohort in southern Sweden, consisting of N = 26,128 children with outcome and exposure data (born July 2005-2010). Of these children, N = 7898 had additional covariate information. The cohort was followed to the end of 2011.Traffic intensity, and dispersion-modeled concentrations of NOX (100×100 m grid), at residential addresses, were linked with registry data on dispensed asthma medication (the Swedish Prescribed Drug Register), and hospital and primary health care diagnoses of bronchiolitis, obstructive bronchitis and asthma (The Scania Health Care Register).Covariate information was obtained from questionnaires distributed to parents at Child Health Care-centre visits, eight months after birth. Cox proportional hazards regression was used for the statistical analyses.

RESULTS

Living in close proximity to a road with ≥8640 cars/day (compared to 0-8640 cars/day), was not associated with higher incidence of first purchase of inhaled β2-agonist (adjusted hazard ratio (adj.HR) = 0.9, 95% CI: 0.8-1.0); third year purchase of inhaled β2-agonist (adj.HR = 0.7, 95% CI: 0.6-0.9); bronchiolitis (adj.HR = 0.7, 95% CI: 0.6-0.9), obstructive bronchitis (adj.HR = 1.0, 95% CI: 0.9-1.2), or asthma (adj.HR = 0.7, 95% CI: 0.6- 0.9). Similar results were found for inhaled corticosteroids, and in relation to NOX.

CONCLUSIONS

Traffic-related exposure was not associated with higher incidence of asthma medication, or diagnoses of asthma, bronchiolitis, or obstructive bronchitis, in children 0-6 years in southern Sweden. This may depend on the low levels of traffic pollution in the area, mainly well below the WHO-guideline for NO2.