Exploring the differences in general practitioner and health care specialist utilization according to education, occupation, income and social networks across Europe: findings from the European social survey (2014) special module on the social determinants of health

General practitioners in front of COVID-19: Italy in European comparative perspective

COVID-19 has highlighted strengths and weaknesses in healthcare systems all over the word. Despite the differences in primary care models in Europe, this study investigates the state-of-the-art of general practitioners (GPs) before the COVID-19 pandemic spread as a result of the reform process of the previous two decades. The GPs numbers over 100,000 inhabitants has been considered as a proxy of public health investment in GPs. Is the number of GPs increased or decreased in the last 20 years of reform processes in European countries? The main hypothesis is that European healthcare systems would have increased the number of GPs coherently with WHO recommendations. Comparative data on the number of GPs per 100,000 inhabitants in 21 European countries are investigated between 1995 and 2014 (the last available data). Data show that the number of family doctors over 100,000 inhabitants in European countries has increased over the last 20 years, except for Italy, where it has strongly reduced. Primary care has had a crucial role in managing the pandemic. Results of this study suggest that a country such as Italy, which has not invested in family doctors in the last two decades, would have been less equipped to manage the COVID-19 pandemic.

Effect of GP visits in the compliance of preventive services: a cross-sectional study in Europe

BACKGROUND

Performing cardiovascular and cancer screenings in target populations can reduce mortality. Visiting a General Practitioner (GP) once a year is related to an increased likelihood of preventive care. The aim of this study was to analyse the influence of visiting a GP in the last year on the delivery of preventive services based on sex and household income.

METHODS

Cross-sectional study using data collected from the European Health Interview Survey 2013-2015 of individuals aged 40-74 years from 29 European countries. The variables included: sociodemographic factors (age, sex, and household income (HHI) quintiles [HHI 1: lowest income, HHI 5: more affluent]), lifestyle factors, comorbidities, and preventive care services (cardiometabolic, influenza vaccination, and cancer screening). Descriptive statistics, bivariate analyses and multilevel models (level 1: citizen, level 2: country) were performed.

RESULTS

242,212 subjects were included, 53.7% were female. The proportion of subjects who received any cardiometabolic screening (92.4%) was greater than cancer screening (colorectal cancer: 44.1%, gynaecologic cancer: 40.0%) and influenza vaccination. Individuals who visited a GP in the last year were more prone to receive preventive care services (cardiometabolic screening: adjusted OR (aOR): 7.78, 95% CI: 7.43-8.15; colorectal screening aOR: 1.87, 95% CI: 1.80-1.95; mammography aOR: 1.76, 95% CI: 1.69-1.83 and Pap smear test: aOR: 1.89, 95% CI:1.85-1.94). Among those who visited a GP in the last year, the highest ratios of cardiometabolic screening and cancer screening benefited those who were more affluent. Women underwent more blood pressure measurements than men regardless of the HHI. Men were more likely to undergo influenza vaccination than women regardless of the HHI. The highest differences between countries were observed for influenza vaccination, with a median odds ratio (MOR) of 6.36 (under 65 years with comorbidities) and 4.30 (over 65 years with comorbidities), followed by colorectal cancer screening with an MOR of 2.26.

CONCLUSIONS

Greater adherence to preventive services was linked to individuals who had visited a GP at least once in the past year. Disparities were evident among those with lower household incomes who visited a GP. The most significant variability among countries was observed in influenza vaccination and colorectal cancer screening.

Global inequalities in mental health problems: understanding the predictors of lifetime prevalence, treatment utilisation and perceived helpfulness across 111 countries

Socio-economic inequalities in mental health problems are found in measures covering prevalence, treatment utilisation, and treatment helpfulness. However, whether these inequalities exist globally and what factors explain between-country variation is unclear. We use a nationally representative individual-level survey dataset (Wellcome Global Monitor, 2020) in 111 countries (N = 117,088) to test if socio-economic factors (household income, education), psycho-social factors (stigma perception, trust in health professionals) and country-level factors (GDP, Gini, health expenditure) predict (1) self-reported lifetime prevalence of anxiety and depression symptomology, (2) treatment utilisation and (3) perceived treatment helpfulness talking to a mental health professional and taking prescribed medication. Multi-level logistic regression models were used. Across both HICs and LMICs, being in the richest income quintile within each country is associated with a lower probability of experiencing symptoms of anxiety and depression compared to the poorest quintile (OR = 0.67 CI[0.64-0.70]), as well as a higher probability of talking to a mental health professional (OR = 1.25[1.14-1.36]), and of perceiving this treatment as very helpful (OR = 1.23[1.07-1.40]). However, being among the richest income quintile is not associated with taking prescribed medication (OR = 0.97[0.89-1.06]) and its perceived helpfulness (OR = 1.06[0.94-1.21]) across all countries. Trust in health practitioners is associated with higher mental health professional utilisation (OR = 1.10[1.06-1.14]) and helpfulness (OR = 1.32[1.25-1.40]). This analysis reveals a global 'triple inequality in mental health', whereby disadvantages of lower SES individuals persist in three outcomes (lifetime prevalence, treatment utilisation and helpfulness). Treatment utilisation and helpfulness also vary by trust in healthcare professionals and treatment type. Policymakers must address all three inequalities and their fundamental causes.

Relationships between education and non-alcoholic fatty liver disease

INTRODUCTION

Individuals with lower levels of education are at a higher risk of developing various health conditions due to limited access to healthcare and unhealthy lifestyle choices. However, the association between non-alcoholic fatty liver disease (NAFLD) and educational level remains unclear. Therefore, the aim of this study was to investigate whether there is an independent relationship between NAFLD and educational level as a surrogate marker for socioeconomic status (SES).

METHODS

This cross-sectional study included 8,727 participants from the Paracelsus 10,000 study. The association between NAFLD and educational level was assessed using multivariable logistic regression models and multivariable linear regression. The primary endpoints were NAFLD (FLI score > 60) and liver fibrosis (FIB-4 score > 1.29). Further subgroup analysis with liver stiffness measurement was done.

RESULTS

In the study, NAFLD prevalence was 23% among participants with high education, 33% among intermediate, and 40% among those with low education (p<0.01). Importantly, a significantly reduced risk of NAFLD was observed in individuals with higher education, as indicated by an adjusted relative risk of 0.52 (p < 0.01). Furthermore, higher education level was associated with significantly lower odds of NAFLD and fibrosis. Additionally, a subgroup analysis revealed that higher liver stiffness measurements were independently associated with lower levels of education.

CONCLUSION

The study's findings indicate that a lower education level increases the risk of NAFLD independent of confounding factors. Therefore, these findings highlight the potential impact of educational attainment on NAFLD risk and emphasize the need for targeted interventions in vulnerable populations.

Effect of social integration on family doctor contracting services among migrant populations in China: a national cross-sectional survey

BACKGROUND

The family doctor (FD) contracting system is a key reform in the development of the Chinese health system, and is considered an effective way to ensure equitable access to healthcare services. This study investigates the effects of social integration on FD contracting services among migrant populations.

METHODS

In total, 120,106 respondents from the 2018 China Migrants Dynamic Survey were included in this study. Two multivariate regression models were used to estimate the effect of social integration and other factors on FD contracting services among migrant populations.

RESULTS

This study found that only 14.0% of the migrant populations had a FD. Multiple dimensions of social integration and some covariates were shown to be positively associated with FD contracting services, including average monthly household income, local medical insurance (odds ratio [OR] = 1.34, 95% confidence interval [CI] = 1.29-1.39), employment status (OR = 0.86, 95% CI = 0.82-0.91), settlement intention (OR = 1.15, 95% CI = 1.09-1.22), received health education (OR = 4.88, 95% CI = 4.51-5.27), sex (OR = 1.16, 95% CI = 1.12-1.20), age (OR = 1.66, 95% CI = 1.51-1.82), marital status (OR = 1.38, 95% CI = 1.31-1.46), sickness within a year (OR = 0.84, 95% CI = 0.79-0.89), and flow range (OR = 1.12, 95% CI = 1.07-1.16).

CONCLUSIONS

All dimensions of social integration, including economic integration, social identity, and social involvement, are associated with FD contracting services among migrant populations. Policymakers should focus on improving the signing rates of migrant populations and implement more effective measures to enhance their social integration, such as settlement incentives and encouraging social participation.

First contact with the health system: a survey study in northern Portugal

OBJECTIVE

The objective of this study is to characterise the self-reported first contact with the health system and the reasons stated for each choice, testing associations with population characteristics.

DESIGN

Cross-sectional survey.

SETTING

Primary care department of a local health unit in northern Portugal.

PARTICIPANTS

Random sample of 4286 persons, retrieved from all registered adults.

OUTCOMES

Participants who stated they usually see the same doctor when a health problem arises were considered to adopt first-contact care and were asked to identify their regular doctor. Participants were asked why they adopt first-contact care or why they choose to do otherwise. Associations between personal characteristics and the adoption of first-contact care were tested using logistic regression.

RESULTS

There were 808 valid questionnaires received (19% response rate). The mean age of respondents was 53 years, 58% were women and 60% had a high school or higher degree. Most (71%) stated always seeing the same doctor when facing a health problem. This was a general practitioner (GP) in 84%. The main reasons were previous knowledge and trust in the doctor. When this doctor was not a GP, the main reason was the need to obtain an appointment quickly. Participants who chose first-contact care were less likely to have university degrees than those who did not (OR 0.31; 95% CI 0.13 to 0.76). Being registered with the same GP for over 1 year increased the odds of adopting first-contact care: twice as likely for those registered for 1-4 years with the same GP (2.07; 95% CI 1.04 to 4.11), and three times more likely for those registered for over 10 years (3.21; 95% CI 1.70 to 6.08).

CONCLUSIONS

The high adoption of first-contact care and the reasons given for this suggest a strong belief in primary care in this population. The longer patients experience continuity, the more they adopt first-contact care. The preferences of higher-educated patients regarding first-contact care deserve reflection.

Income-based differences in healthcare utilization in relation to mortality in the Swedish population between 2004-2017: A nationwide register study

BACKGROUND

Despite universal healthcare, socioeconomic differences in healthcare utilization (HCU) persist in modern welfare states. However, little is known of how HCU inequalities has developed over time. The aim of this study is to assess time trends of differences in utilization of primary and specialized care for the lowest (Q1) and highest (Q5) income quantiles and compare these to mortality.

METHODS AND FINDINGS

Using a repeated cross-sectional register-based study design, data on utilization of (i) primary; (ii) specialized outpatient; and (iii) inpatient care, as well as (iv) cause of death, were linked to family income and sociodemographic control variables (for instance, country of origin and marital status). The study sample comprised all individuals 16 years or older residing in Sweden any year during the study period and ranged from 7.1 million in year 2004 to 8.0 million year 2017. HCU and mortality for all disease as well as for the 5 disease groups causing most deaths were compared for the Q1 and Q5 using logistic regression, adjusting for sex, age, marital status, and birth country. The primary outcome measures were adjusted odds ratios (ORs), and regression coefficients of annual changes in these ORs log-transformed. Additionally, we conducted negative binominal regression to calculate adjusted rate ratios (RRs) comparing Q1 and Q5 with regard to number of disease specific healthcare encounters ≤5 years prior to death. In 2017, for all diseases combined, Q1 utilized marginally more primary and specialized outpatient care than Q5 (OR 1.07, 95% CI [1.07, 1.08]; p < 0.001, and OR 1.04, 95% CI [1.04, 1.05]; p < 0.001, respectively), and considerably more inpatient care (OR 1.44, 95% CI [1.43, 1.45]; p < 0.001). The largest relative inequality was observed for mortality (OR 1.78, 95% CI [1.74, 1.82]; p < 0.001). This pattern was broadly reproduced for each of the 5 disease groups. Time trends in HCU inequality varied by level of care. Each year, Q1 (versus Q5) used more inpatient care and suffered increasing mortality rates. However, utilization of primary and specialized outpatient care increased more among Q5 than in Q1. Finally, group differences in number of healthcare encounters ≤5 years prior to death demonstrated a similar pattern. For each disease group, primary and outpatient care encounters were fewer in Q1 than in Q5, while inpatient encounters were similar or higher in Q1. A main limitation of this study is the absence of data on self-reported need for care, which impedes quantifications of HCU inequalities each year.

CONCLUSIONS

Income-related differences in the utilization of primary and specialized outpatient care were considerably smaller than for mortality, and this discrepancy widened with time. Facilitating motivated use of primary and outpatient care among low-income groups could help mitigate the growing health inequalities.

Socioeconomic differences in the utilization of diagnostic imaging and non-pharmaceutical conservative therapies for spinal diseases

BACKGROUND

A different utilization of health care services due to socioeconomic status on the same health plan contradicts the principle of equal treatment. We investigated the presence and magnitude of socioeconomic differences in utilization of diagnostic imaging and non-pharmaceutical conservative therapies for patients with spinal diseases.

METHODS

The cohort study based on routine healthcare data from Germany with 11.7 million patient-years between 2012 and 2016 for patients with physician-confirmed spinal diseases (ICD-10: M40-M54), occupation and age 20 to 64 years. A Poisson model estimated the effects of the socioeconomic status (school education, professional education and occupational position) for the risk ratio of receiving diagnostic imaging (radiography, computed tomography, magnetic resonance imaging) and non-pharmaceutical conservative therapies (physical therapy including exercise therapy, manual therapy and massage, spinal manipulative therapy, acupuncture).

RESULTS

Patients received diagnostic imaging in 26%, physical therapy in 32%, spinal manipulative therapy in 25%, and acupuncture in 4% of all patient-years. Similar to previous survey-based studies higher rates of utilization were associated with higher socioeconomic status. These differences were most pronounced for manual therapy, exercise therapy, and magnetic resonance imaging.

CONCLUSIONS

The observed differences in health care utilization were highly related to socioeconomic status. Socioeconomic differences were higher for more expensive health services. Further research is necessary to identify barriers to equitable access to health services and to take appropriate action to decrease existing social disparities.

Association between clinic-level quality of care and patient-level outcomes in multiple sclerosis

BACKGROUND

Multiple sclerosis (MS) quality of care guidelines are consensus-based. The effectiveness of the recommendations is unknown.

OBJECTIVE

To determine whether clinic-level quality of care affects clinical and patient-reported outcomes.

METHODS

This nationwide observational cohort study included patients with adult-onset MS in the Swedish MS registry with disease onset 2005-2015. Clinic-level quality of care was measured by four indicators: visit density, magnetic resonance imaging (MRI) density, mean time to commencement of disease-modifying therapy, and data completeness. Outcomes were Expanded Disability Status Scale (EDSS) and patient-reported symptoms measured by the Multiple Sclerosis Impact Scale (MSIS-29). Analyses were adjusted for individual patient characteristics and disease-modifying therapy exposure.

RESULTS

In relapsing MS, all quality indicators benefitted EDSS and physical symptoms. Faster treatment, frequent visits, and higher data completeness benefitted psychological symptoms. After controlling for all indicators and individual treatment exposures, faster treatment remained independently associated with lower EDSS (-0.06, 95% confidence interval (CI): -0.01, -0.10) and more frequent visits were associated with milder physical symptoms (MSIS-29 physical score: -16.2%, 95% CI: -1.8%, -29.5%). Clinic-level quality of care did not affect any outcomes in progressive-onset disease.

CONCLUSION

Certain quality of care indicators correlated to disability and patient-reported outcomes in relapse-onset but not progressive-onset disease. Future guidelines should consider recommendations specific to disease course.

Antibiotic prescribing trends in primary care 2014-2022

Antimicrobial resistance (AMR) is a global healthcare challenge that governments and health systems are tackling primarily through antimicrobial stewardship (AMS). This should, improve antibiotic use, avoid inappropriate prescribing, reduce prescription numbers, aligning with national/international AMS targets. In primary care in the United Kingdom (UK) antibiotics are mainly prescribed for patients with urinary and respiratory symptoms (22.7% and 46% of all antibiotic prescriptions respectively). This study aimed to capture the time-series trends (2014-2022) for commonly prescribed antibiotics for respiratory and urinary tract infections in primary care in England. Trends for Amoxicillin, Amoxicillin sodium, Trimethoprim, Clarithromycin, Erythromycin, Erythromycin ethylsuccinate, Erythromycin stearate, Doxycycline hyclate, Doxycycline monohydrate and Phenoxymethylpenicillin (Penicillin V) were determined. In doing so providing evidence regarding meeting UK antibiotic prescribing rate objectives (a 15% reduction in human antibiotic use 2019-2024). Time series trend analysis of 62,949,272 antibiotic prescriptions from 6,370 General Practices in England extracted from the National Health Service (NHS) Business Services Authority web portal were explored. With additional investigation of prescribing rate trends by quintiles of the Index of Multiple Deprivation (IMD). Overall, there is a downwards trend in antibiotic prescribing for those explored. There is an association between IMD, geographical location, and higher antibiotic prescribing levels (prescribing hot spots). England has a well-documented North-South divide of health inequalities, this is reflected in antibiotic prescribing. The corona virus pandemic (COVID-19) impacted on AMS, with a rise in doxycycline and trimethoprim prescriptions notable in higher IMD areas. Since then, prescribing appears to have returned to pre-pandemic levels in all IMDs and continued to decline. AMS efforts are being adhered to in primary care in England. This study provides further evidence of the link between locality and poorer health outcomes (reflected in higher antibiotic prescribing). Further work is required to address antibiotic use in hot spot areas.

Access for those who want or for those who can? Equity in the use of doctor's appointments in Portugal based on the HIS 2019

Horizontal equity in the use of healthcare implies equal use for equal needs, regardless of other factors - be they predisposing or enabling (Andersen's model). This study aimed to assess equity in the use of doctor's appointments in Portugal in 2019, comparing the results with those obtained in a previous study, based on data from 2014. Data were retrieved from the Health Interview Survey 2019 (HIS 2019). Healthcare is measured by the number of doctor's appointments. Our study adopted the Negative Binomial Model to assess the factors affecting use. The concentration index was calculated to quantify income-related inequality/inequity. Compared to 2014, the effects of self-assessed health, limitations in daily living activities, and longstanding illnesses are more pronounced, and the region, income, household type and marital status are significant for appointments scheduled with a General Practitioner. In the case of appointments with specialists, health insurance lost statistical significance and the effect of education dropped; however, income became significant. The inequity index is not significant for appointments scheduled with a General Practitioner, as in 2014, but the (significant) value of this index increased for appointments with other specialists.

Access for those who want or for those who can? Equity in the use of doctor’s appointments in Portugal based on the HIS 2019

Abstract Horizontal equity in the use of healthcare implies equal use for equal needs, regardless of other factors - be they predisposing or enabling (Andersen’s model). This study aimed to assess equity in the use of doctor’s appointments in Portugal in 2019, comparing the results with those obtained in a previous study, based on data from 2014. Data were retrieved from the Health Interview Survey 2019 (HIS 2019). Healthcare is measured by the number of doctor’s appointments. Our study adopted the Negative Binomial Model to assess the factors affecting use. The concentration index was calculated to quantify income-related inequality/inequity. Compared to 2014, the effects of self-assessed health, limitations in daily living activities, and longstanding illnesses are more pronounced, and the region, income, household type and marital status are significant for appointments scheduled with a General Practitioner. In the case of appointments with specialists, health insurance lost statistical significance and the effect of education dropped; however, income became significant. The inequity index is not significant for appointments scheduled with a General Practitioner, as in 2014, but the (significant) value of this index increased for appointments with other specialists.

social determinants of health in multiple sclerosis

Social determinants of health are the conditions in which people are born, grow, live, work and age. These circumstances are the non-medical factors that influence health outcomes. Evidence indicates that health behaviours, comorbidities and disease-modifying therapies all contribute to multiple sclerosis (MS) outcomes; however, our knowledge of the effects of social determinants — that is, the ‘risks of risks’ — on health has not yet changed our approach to MS. Assessing and addressing social determinants of health could fundamentally improve health and health care in MS; this approach has already been successful in improving outcomes in other chronic diseases. In this narrative Review, we identify and discuss the body of evidence supporting an effect of many social determinants of health, including racial background, employment and social support, on MS outcomes. It must be noted that many of the published studies were subject to bias, and screening tools and/or practical interventions that address these social determinants are, for the most part, lacking. The existing work does not fully explore the potential bidirectional and complex relationships between social determinants of health and MS, and the interpretation of findings is complicated by the interactions and intersections among many of the identified determinants. On the basis of the reviewed literature, we consider that, if effective interventions targeting social determinants of health were available, they could have substantial effects on MS outcomes. Therefore, funding for and focused design of studies to evaluate and address social determinants of health are urgently needed.

Here, the authors discuss the potential effects of social determinants of health on multiple sclerosis risk and outcomes. They suggest that addressing these determinants of health could substantially improve the lives of individuals with multiple sclerosis and call for more research.

Addressing an individual’s social determinants of health — that is, the conditions under which they are born, grow, live, work and age — could provide opportunities to reduce the burden of living with multiple sclerosis (MS).

Individual factors that may influence MS-related outcomes include sex, gender and sexuality, race and ethnicity, education and employment, socioeconomic status, and domestic abuse.

Societal infrastructures, including access to food, health care and social support, can also affect MS-related outcomes.

Awareness of the specific circumstances of a patient with MS might help neurologists deliver better care.

Social determinants of health are not static and can change according to wider sociopolitical contexts, as highlighted by the COVID-19 pandemic.

Rigorous studies of interventions to ameliorate the effects of poor social determinants on people with MS are urgently needed.

Suicide mortality after a nonfatal suicide attempt: A systematic review and meta-analysis

INTRODUCTION

Deliberate self-harm and suicide attempts share common risk factors but are associated with different epidemiological features. While the rate of suicide after deliberate self-harm has been evaluated in meta-analyses, the specific rate of death by suicide after a previous suicide attempt has never been assessed. The aim of our study was to estimate the incidence of death by suicide after a nonfatal suicide attempt.

METHOD

We developed and followed a standard meta-analysis protocol (systematic review registration-PROSPERO 2021: CRD42021221111). Randomized controlled trials and cohort studies published between 1970 and 2020 focusing on the rate of suicide after suicide attempt were identified in PubMed, PsycInfo and Scopus and qualitatively described. The rates of deaths by suicide at 1, 5 and 10 years after a nonfatal suicide attempt were pooled in a meta-analysis using a random-effects model. Subgroup analysis and meta-regressions were also performed.

RESULTS

Our meta-analysis is based on 41 studies. The suicide rate after a nonfatal suicide attempt was 2.8% (2.2-3.5) at 1 year, 5.6% (3.9-7.9) at 5 years and 7.4% (5.2-10.4) at 10 years. Estimates of the suicide rate vary widely depending on the psychiatric diagnosis, the method used for the suicide attempt, the type of study and the age group considered.

CONCLUSION

The evidence of a high rate of suicide deaths in the year following nonfatal suicide attempts should prompt prevention systems to be particularly vigilant during this period.

Socioeconomic differences in psychiatric treatment before and after self-harm: an observational study of 4,280 adolescents and young adults

BACKGROUND

Individuals in higher socioeconomic positions tend to utilise more mental health care, especially specialist services, than those in lower positions. Whether these disparities in treatment exist among adolescents and young adults who self-harm is currently unknown.

METHODS

The study is based on Finnish administrative register data on all individuals born 1986-1994. Adolescents and young adults with an episode of self-harm treated in specialised healthcare at ages 16-21 in 2002-2015 (n=4280, 64% female) were identified and followed 2 years before and after the episode. Probabilities of specialised psychiatric inpatient admissions and outpatient visits and purchases of psychotropic medication at different time points relative to self-harm were estimated using generalised estimation equations, multinomial models and cumulative averages. Socioeconomic differences were assessed based on parental education, controlling for income.

RESULTS

An educational gradient in specialised treatment and prescription medication was observed, with the highest probabilities of treatment among the adolescents and young adults with the highest educated parents and lowest probabilities among those whose parents had basic education. These differences emerged mostly after self-harm. The probability to not receive any treatment, either in specialised healthcare or psychotropic medication, was highest among youth whose parents had a basic level of education (before self-harm 0.39, 95% CI 0.34-0.43, and after 0.29, 95% CI 0.25-0.33 after) and lowest among youth with higher tertiary educated parents (before self-harm: 0.22, 95% CI 0.18-0.26, and after 0.18, 95% CI 0.14-0.22). The largest differences were observed in inpatient care.

CONCLUSIONS

The results suggest that specialised psychiatric care and psychotropic medication use are common among youth who self-harm, but a considerable proportion have no prior or subsequent specialised treatment. The children of parents with lower levels of education are likely to benefit from additional support in initiating and adhering to treatment after an episode of self-harm. Further research on the mechanisms underlying the educational gradient in psychiatric treatment is needed.

Why does healthcare utilisation differ between socioeconomic groups in OECD countries with universal healthcare coverage? A protocol for a systematic review

INTRODUCTION

Even in advanced economies with universal healthcare coverage (UHC), a social gradient in healthcare utilisation has been reported. Many individual, community and healthcare system factors have been considered that may be associated with the variation in healthcare utilisation between socioeconomic groups. Nevertheless, relatively little is known about the complex interaction and relative contribution of these factors to socioeconomic differences in healthcare utilisation. In order to improve understanding of why utilisation patterns differ by socioeconomic status (SES), the proposed systematic review will explore the main mechanisms that have been examined in quantitative research.

METHODS AND ANALYSIS

The systematic review will follow the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines and will be conducted in Embase, PubMed, Scopus, Web of Science, Econlit and PsycInfo. Articles examining factors associated with the differences in primary and specialised healthcare utilisation between socioeconomic groups in Organisation for Economic Co-operation and Development (OECD) countries with UHC will be included. Further restrictions concern specifications of outcome measures, factors of interest, study design, population, language and type of publication. Data will be numerically summarised, narratively synthesised and thematically discussed. The factors will be categorised according to existing frameworks for barriers to healthcare access.

ETHICS AND DISSEMINATION

No primary data will be collected. No ethics approval is required. We intend to publish a scientific article in an international peer-reviewed journal.

Health care utilization and health-related quality of life of injury patients: comparison of educational groups

Background

Differences in health care utilization by educational level can contribute to inequalities in health. Understanding health care utilization and health-related quality of life (HRQoL) of educational groups may provide important insights into the presence of these inequalities. Therefore, we assessed characteristics, health care utilization and HRQoL of injury patients by educational level.

Method

Data for this registry based cohort study were extracted from the Dutch Injury Surveillance System. At 6-month follow-up, a stratified sample of patients (≥25 years) with an unintentional injury reported their health care utilization since discharge and completed the EQ-5-Dimension, 5-Level (EQ-5D-5L) and visual analogue scale (EQ VAS). Logistic regression analyses, adjusting for patient and injury characteristics, were performed to investigate the association between educational level and health care utilization. Descriptive statistics were used to analyse HRQoL scores by educational level, for hospitalized and non-hospitalized patients.

Results

This study included 2606 patients; 47.9% had a low, 24.4% a middle level, and 27.7% a high level of education. Patients with low education were more often female, were older, had more comorbidities, and lived more often alone compared to patients with high education (p < 0.001). Patients with high education were more likely to visit a general practitioner (OR: 1.38; CI: 1.11–1.72) but less likely to be hospitalized (OR: 0.79; CI: 0.63–1.00) and to have nursing care at home (OR: 0.66; CI: 0.49–0.90) compared to their low educated counterparts. For both hospitalized an non-hospitalized persons, those with low educational level reported lower HRQoL and more problems on all dimensions than those with a higher educational level.

Conclusion

Post-discharge, level of education was associated with visiting the general practitioner and nursing care at home, but not significantly with use of other health care services in the 6 months post-injury. Additionally, patients with a low educational level had a poorer HRQoL. However, other factors including age and sex may also explain a part of these differences between educational groups. It is important that patients are aware of potential consequences of their trauma and when and why they should consult a specific health care service after ED or hospital discharge.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06913-3.

Combined management can decrease blood pressure: an investigation of health-seeking behaviors among hypertensive patients in urban communities in China

Background

Hypertensive patients can freely choose informal medical facilities, such as pharmacies, community health service centres, and cardiology clinics in secondary or tertiary hospitals, as routine places for medical treatment in China currently. The proportions, influencing factors and effects of different health-seeking behaviours on blood pressure (BP) among hypertensive patients in urban communities are not clear. The aim of the study was to investigate health-seeking behaviours and the effects of different health-seeking behaviours on BP among hypertensive patients in urban communities in China.

Methods

A cross-sectional survey of hypertension was conducted in urban communities in Chengdu. A total of 437 hypertensive patients seeking medical help regularly were sequentially enrolled to complete a the questionnaire on health-seeking behaviours.

Results

The average age was 67.1 ± 7.5 years old. The control rate of BP was 41.0%, and the systolic blood pressure (SBP) and diastolic blood pressure (DBP) were 144.2 ± 17.9 mm Hg and 75.4 ± 10.4 mm Hg, respectively. Among the hypertensive patients investigated, 62.8% chose community health service centre, 5.2% chose informal medical facilities, 21.5% chose cardiology clinics in secondary or tertiary hospitals, and 10.5% chose both community health service centre and cardiology clinics as the usual places for medical treatment. There were significant differences in education levels, proportions of home BP monitoring, establishment of chronic disease archives in the community, medication adherence and side effects of drugs among the four groups. The control rates of BP were 39.4%, 23.8%, 43.0% and 54.8% (P = 0.100), respectively. The SBPs were 145.1 ± 18.0, 150.9 ± 19.8, 143.8 ± 17.5 and 136.3 ± 15.1 mm Hg (P = 0.007), respectively, and it was significantly lower in the combined management group than in the other three groups. Compared with patients choosing community health service centre, patients in the combined management group had a significantly lower BP level (β = −0.119, P = 0.038) adjusting for age, sex, education level, establishment of chronic disease archives, medication adherence and number of antihypertensive drugs.

Conclusions

Combined management with both community health service centre and higher-level hospitals can decrease BP.

Socioeconomic inequalities in primary-care and specialist physician visits: a systematic review

Background

Utilization of primary-care and specialist physicians seems to be associated differently with socioeconomic status (SES). This review aims to summarize and compare the evidence on socioeconomic inequalities in consulting primary-care or specialist physicians in the general adult population in high-income countries.

Methods

We carried out a systematic search across the most relevant databases (Web of Science, Medline) and included all studies, published since 2004, reporting associations between SES and utilization of primary-care and/or specialist physicians. In total, 57 studies fulfilled the eligibility criteria.

Results

Many studies found socioeconomic inequalities in physician utilization, but inequalities were more pronounced in visiting specialists than primary-care physicians. The results of the studies varied strongly according to the operationalization of utilization, namely whether a physician was visited (probability) or how often a physician was visited (frequency). For probabilities of visiting primary-care physicians predominantly no association with SES was found, but frequencies of visits were higher in the most disadvantaged. The most disadvantaged often had lower probabilities of visiting specialists, but in many studies no link was found between the number of visits and SES.

Conclusion

This systematic review emphasizes that inequalities to the detriment of the most deprived is primarily a problem in the probability of visiting specialist physicians. Healthcare policy should focus first off on effective access to specialist physicians in order to tackle inequalities in healthcare.

PROSPERO registration number

CRD42019123222.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12939-020-01375-1.

Socioeconomic position and mental health care use before and after first redeemed antidepressant and time until subsequent contact to psychologist or psychiatrists: a nationwide Danish follow-up study

PURPOSE

The purpose was to investigate inequalities in access to care among people with possible depression.

METHOD

In this nationwide register-based cohort study of 30,593 persons, we observed the association between socioeconomic position (SEP, education/income) and mental health care use (MHCU) four months before the date of first redeemed antidepressant (Index Date/ID) and 12 months afterwards-and time to contact to psychologist/psychiatrist (PP). Logistic, Poisson, and Cox regression models were used, adjusted for sex, age, cohabitation, and psychiatric comorbidity.

RESULTS

Before ID, high SEP was associated with less GP contact (general practitioner), higher odds ratios for GP-Mental Health Counseling (GP-MHC), psychologist contact, and admissions to hospital. This disparity decreased the following 12 months for GP-MHC but increased for contact to psychologist; same pattern was seen for rate of visits. However, the low-income group had more contact to private psychiatrist. For the 25,217 individuals with no MHCU before ID, higher educational level was associated with almost twice the rate of contact to PP the following 12 months; for the high-income group, the rate was 40% higher. 10% had contact to PP within 40 days after ID in the group with higher education; whereas, 10% of those with a short education would reach PP by day 120. High-income group had faster access as well.

CONCLUSION

Being in high SEP was positively associated with MHCU, before and after ID, and more rapid PP contact, most explicit when measured by education. Co-payment for psychologist may divert care towards private psychiatrist for low-income groups.

Patterns and trends in eczema management in UK primary care (2009-2018): A population-based cohort study

Background

Despite the high disease burden of eczema, a contemporary overview of the patterns and trends in primary care healthcare utilization and treatment is lacking.

Objective

To quantify primary care consultations, specialist referrals, prescribing, and treatment escalation, in children and adults with eczema in England.

Methods

A large primary care research database was used to examine healthcare and treatment utilization in people with active eczema (n = 411,931). Management trends and variations by age, sex, socioeconomic status, and ethnicity were described from 2009 to 2018 inclusive.

Results

Primary care consultation rates increased from 87.8 (95% confidence interval [95% CI] 87.3–88.3) to 112.0 (95% CI 111.5–112.6) per 100 person‐years over 2009 to 2018. Specialist referral rates also increased from 3.8 (95% CI 3.7–3.9) to 5.0 (95% CI 4.9–5.1) per 100 person‐years over the same period. Consultation rates were highest in infants. Specialist referrals were greatest in the over 50s and lowest in people of lower socioeconomic status, despite a higher rate of primary care consultations. There were small changes in prescribing over time; emollients increased (prescribed to 48.5% of people with active eczema in 2009 compared to 51.4% in 2018) and topical corticosteroids decreased (57.3%–52.0%). Prescribing disparities were observed, including less prescribing of potent and very potent topical corticosteroids in non‐white ethnicities and people of lower socioeconomic status. Treatment escalation was more common with increasing age and in children of non‐white ethnicity.

Conclusion and clinical relevance

The management of eczema varies by sociodemographic status in England, with lower rates of specialist referral in people from more‐deprived backgrounds. There are different patterns of healthcare utilization, treatment, and treatment escalation in people of non‐white ethnicity and of more‐deprived backgrounds.

An examination of trends in antibiotic prescribing in primary care and the association with area-level deprivation in England

Background

Internationally, there are growing concerns about antimicrobial resistance. This has resulted in increased scrutiny of antibiotic prescribing trends – particularly in primary care where the majority of prescribing occurs. In England, antibiotic prescribing targets are set nationally but little is known about the local context of antibiotic prescribing. This study aimed to examine trends in antibiotic prescribing (including broad-spectrum), and the association with area-level deprivation and region in England.

Methods

Antibiotic prescribing data by GP surgery in England were obtained from NHS Business Service Authority for the years 2014–2018. These data were matched with the Index of Multiple Deprivation (IMD) 2015 at the Lower Layer Super Output Area level Lower Layer Super Output Area (LSOA) level. Linear regression methods were employed to explore the relationship between antibiotic use and area-level deprivation as well as region, after controlling for a range of other confounding variables, including health need, rurality, and ethnicity.

Results

Over time, the amount of antibiotic prescribing significantly reduced from 1.11 items per STAR-PU to 0.96 items per STAR-PU – a reduction of 13.6%. The adjusted models found that, at LSOA level, the most deprived areas of England had the highest levels of antibiotic prescribing (0.03 items per STAR-PU higher). However, broad spectrum antibiotic prescribing exceeding 10% of all antibiotic prescribing within a GP practice was higher in more affluent areas. There were also significant regional differences – with the North East and the East of England having the highest levels of antibiotic prescribing (by 0.16 items per STAR-PU).

Conclusion

Although antibiotic prescribing has reduced over time, there remains significant variation in by area-level deprivation and region in England – with higher antibiotic prescribing in more deprived areas. Future prescribing targets should account for local factors to ensure the most deprived communities are not inappropriately penalised.

Educational inequalities in mortality amenable to healthcare. A comparison of European healthcare systems

BACKGROUND

Educational inequalities in health and mortality in European countries have often been studied in the context of welfare regimes or political systems. We argue that the healthcare system is the national level feature most directly linkable to mortality amenable to healthcare. In this article, we ask to what extent the strength of educational differences in mortality amenable to healthcare vary among European countries and between European healthcare system types.

METHODS

This study uses data on mortality amenable to healthcare for 21 European populations, covering ages 35-79 and spanning from 1998 to 2006. ISCED education categories are used to calculate relative (RII) and absolute inequalities (SII) between the highest and lowest educated. The healthcare system typology is based on the latest available classification. Meta-analysis and ANOVA tests are used to see if and how they can explain between-country differences in inequalities and whether any healthcare system types have higher inequalities.

RESULTS

All countries and healthcare system types exhibited relative and absolute educational inequalities in mortality amenable to healthcare. The low-supply and low performance mixed healthcare system type had the highest inequality point estimate for the male (RII = 3.57; SII = 414) and female (RII = 3.18; SII = 209) population, while the regulation-oriented public healthcare systems had the overall lowest (male RII = 1.78; male SII = 123; female RII = 1.86; female SII = 78.5). Due to data limitations, results were not robust enough to make substantial claims about typology differences.

CONCLUSIONS

This article aims at discussing possible mechanisms connecting healthcare systems, social position, and health. Results indicate that factors located within the healthcare system are relevant for health inequalities, as inequalities in mortality amenable to medical care are present in all healthcare systems. Future research should aim at examining the role of specific characteristics of healthcare systems in more detail.

Regional and patient-related factors influencing the willingness to use general practitioners as coordinators of the treatment in northern Germany - results of a cross-sectional observational study

Background

In most countries, the general practitioner (GP) is the first point of contact in the healthcare system and coordinator of healthcare. However, in Germany it is possible to consult an outpatient specialist even without referral. Coordination by a GP might thus reduce health expenditures and inequalities in the healthcare system. The study describes the patients’ willingness/commitment to use the GP as coordinator of healthcare and identifies regional and patient-related factors associated with the aforementioned commitment to the GP.

Methods

Cross-sectional observational study using a standardised telephone patient survey in northern Germany. All counties and independent cities within a radius of 120 km around Hamburg were divided into three regional categories (urban areas, environs, rural areas) and stratified proportionally to the population size. Patients who had consulted the GP within the previous three months, and had been patients of the practice for at least three years were randomly selected from medical records of primary care practices in these districts and recruited for the study. Multivariate linear regression models adjusted for random effects at the level of federal states, administrative districts and practices were used as statistical analysis methods.

Results

Eight hundred eleven patients (25.1%) from 186 practices and 34 administrative districts were interviewed. The patient commitment to a GP attained an average of 20 out of 24 possible points. Significant differences were found by sex (male vs. female: + 1.14 points, p < 0.001), morbidity (+ 0.10 per disease, p = 0.043), education (high vs. low: − 1.74, p < 0.001), logarithmised household net adjusted disposable income (− 0.93 per step on the logarithmic scale, p = 0.004), regional category (urban areas: − 0.85, p = 0.022; environs: − 0.80, p = 0.045) and healthcare utilisation (each GP contact: + 0.30, p < 0.001; each contact to a medical specialist: − 0.75, p = 0.018). Professional situation and age were not significantly associated with the GP commitment.

Conclusion

On average, the patients’ commitment to their GP was relatively strong, but there were large differences between patient groups. An increase in the patient commitment to the GP could be achieved through better patient information and targeted interventions, e.g. to women or patients from regions of higher urban density.

Trial registration

The study was registered in ClinicalTrials.gov (NCT02558322).

The impact of health literacy on medico-social follow-up visits among French cancer survivors 5 years after diagnosis: The national VICAN survey

Background

Long‐term medico‐social follow‐up of cancer survivors is a challenge because of frequent subsequent troubles. In particular survivors with lower health literacy (HL) have poorer health and might more often use primary care services. However, the impact of HL on cancer survivors’ medico‐social follow‐up visits is not known. Our aim was to study medico‐social follow‐up and its associated determinants with a focus on HL 5 years after diagnosis.

Methods

VICAN is a national survey of French adult cancer survivors 5 years after a primary cancer. The Single‐Item Literacy Screener was used to define functional HL in this sample. We also asked patients to report the frequency of follow‐up visits with a general practitioner (GP) and/or social worker (SW) regarding their cancer disease.

Results

The 4045 participants were 57.4 ± 12.9 years old at diagnosis (range 20‐82) and 1495 (37%) were classified as having inadequate HL. Most cancer survivors (66.7%) were followed up by a GP regarding their cancer while only 14.5% had contact with a SW. After adjustment for sociodemographic, medical, and psychosocial characteristics, medico‐social follow‐ups (GP and SW visits) were more frequent among survivors with low HL. Furthermore, low income, unemployment, impaired mental health, treatment by chemotherapy, and perception of sequelae and fatigue were also associated with more frequent medico‐social follow‐up. Cancer localization association with medico‐social follow‐up was heterogeneous.

Conclusion

French cancer survivors with limited HL, lower socioeconomic status, and more severe cancer were more likely to use GP care and social services. Raising awareness and training GPs and SWs on medico‐social follow‐up for patients with limited HL seem necessary to support these vulnerable survivors.

Patterns of gynaecological check-up and their association with body mass index within the CONSTANCES cohort

OBJECTIVES

To investigate the relationship between patterns of gynaecological check-up and body mass index while accounting for various determinants of health care use.

METHODS

Sequence analysis and clustering were used to highlight patterns of gynaecological check-up, which included the regularity of breast and cervical cancer screening and visits to the gynaecologist over four years, among 6182 women aged 54-65 included in the CONSTANCES cohort between 2013 and 2015 in France. Multinomial logistic regressions were used to study the association between these patterns and women's body mass index.

RESULTS

We identified four patterns of gynaecological check-up, from (A) no or inappropriate check-up (20%) to (D) almost one visit to the gynaecologist every year, overscreening for cervical cancer and frequent use of opportunistic breast cancer screening (12%). From patterns A to D, the proportion of obese women decreased and that of women with normal body mass index increased. Obese and overweight women underwent more breast than cervical cancer screening and were less often overscreened than normal weight women. These differences were only partly explained by the lower socioeconomic situation of overweight and obese women. Beyond the financial barrier, the screening modality and the type of exam may play a role. Among women who were screened for cervical cancer, obese and overweight women were less often screened by a gynaecologist.

CONCLUSION

Further efforts should be made to enhance the take-up of screening among obese women who are deterred by the healthcare system.

Access and Outcomes Among Hypertrophic Cardiomyopathy Patients in a Large Integrated Health System

Background

Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy. Current guidelines endorse management in expert centers, but patient socioeconomic status can affect access to specialty care. The effect of socioeconomic status and specialty care access on HCM outcomes has not been examined.

Methods and Results

We conducted a retrospective cohort study that examined outcomes among HCM patients receiving care in the Yale New Haven Health System between June 2011 and December 2017. Patients were assigned to lower or higher socioeconomic status groups (LSES/HSES) based on medical insurance provider and to receivers of specialty care (SC) at Yale's Inherited Cardiomyopathy clinic or general cardiology care (GC). The primary outcome was all‐cause death, and the secondary outcome was all‐cause hospitalization. We identified 953 HCM patients; 820 (86%) were HSES and 133 (14%) were LSES. Forty‐three (4.5%) patients died from cardiac and noncardiac causes. LSES patients within the general cardiology care cohort had significantly higher all‐cause mortality compared with HSES patients (adjusted hazard ratio, [95% CI]=10.06 [4.38–23.09]; P<0.001). This was not noted in the specialty care cohort (adjusted hazard ratio, [95% CI]=2.87 [0.56–14.73]; P=0.21). The moderator effect of specialty care on mortality difference between LSES versus HSES, however, did not reach statistical significance (hazard ratio, 0.29 [0.05–1.77]; P=0.18). Specialist care was associated with increased hospitalization (adjusted hazard ratio, [95% CI]=3.28 [1.11–9.73]; P=0.03 for LSES; 2.19 [1.40–3.40]; P=0.001 for HSES).

Conclusions

Socioeconomically vulnerable HCM patients had higher mortality when not referred to specialty care. Further study is needed to understand the underlying causes.

Healthcare use in patients with multimorbidity

BACKGROUND

The existence of multiple chronic conditions in the same patient is a public health problem increasingly recognized as relevant to health systems. Individuals with multimorbidity have additional health needs, which imply a heavy burden in healthcare use. It is estimated that between 70% and 80% of the total health expenditure is used with chronic conditions. Patients with multimorbidity are responsible for up to 75% of primary care appointments. These patients are also high hospital users, with up to 14.6 times more risk of hospitalization.

METHODS

This study analyses the association between healthcare use and multimorbidity in the Portuguese population aged 25-74 years old. The association between socioeconomic variables and healthcare use was studied, based on data from the first Portuguese Health Examination Survey using a logistic regression model, stratified by sex and adjusted for socioeconomic confounding variables.

RESULTS

In patients with multimorbidity, there was a greater use of primary healthcare consultations, medical or surgical specialist consultations and hospitalizations. An association was established between female, older age groups and lower educational levels, and increased healthcare use. When adjusted to socioeconomic variables, the likelihood of using healthcare services can be as high as 3.5 times, when compared to patients without chronic conditions.

CONCLUSION

Our results show a greater healthcare use in multimorbidity patients, both in primary and hospital care. The availability of scientific evidence regarding the use of healthcare services by multimorbidity patients may support health policy changes, which could allow a more efficient management of these patients.

Residential area deprivation and risk of subsequent hospital admission in a British population: the EPIC-Norfolk cohort

OBJECTIVES

To investigate whether residential area deprivation index predicts subsequent admissions to hospital and time spent in hospital independently of individual social class and lifestyle factors.

DESIGN

Prospective population-based study.

SETTING

The European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) study.

PARTICIPANTS

11 214 men and 13 763 women in the general population, aged 40-79 years at recruitment (1993-1997), alive in 1999.

MAIN OUTCOME MEASURE

Total admissions to hospital and time spent in hospital during a 19-year time period (1999-2018).

RESULTS

Compared to those with residential Townsend Area Deprivation Index lower than the average for England and Wales, those with a higher than average deprivation index had a higher likelihood of spending >20 days in hospital multivariable adjusted OR 1.18 (95% CI 1.07 to 1.29) and having 7 or more admissions OR 1.11 (95% CI 1.02 to 1.22) after adjustment for age, sex, smoking status, education, social class and body mass index. Occupational social class and educational attainment modified the association between area deprivation and hospitalisation; those with manual social class and lower education level were at greater risk of hospitalisation when living in an area with higher deprivation index (p-interaction=0.025 and 0.020, respectively), while the risk for non-manual and more highly educated participants did not vary greatly by area of residence.

CONCLUSION

Residential area deprivation predicts future hospitalisations, time spent in hospital and number of admissions, independently of individual social class and education level and other behavioural factors. There are significant interactions such that residential area deprivation has greater impact in those with low education level or manual social class. Conversely, higher education level and social class mitigated the association of area deprivation with hospital usage.

The determinants of cervical cancer screening uptake in women with obesity: application of the Andersen's behavioral model to the CONSTANCES survey

PURPOSE

Despite their higher risk for and mortality from cervical cancer, evidence indicates low rates of cervical cancer screening (CCS) among women with obesity. The literature on the specific factors related to CCS nonadherence in this population is limited.

METHODS

We examined the data on 2,934 women with obesity included in the CONSTANCES survey from 2012 to 2015. Using the Andersen's behavioral model, we studied the relationships between the socioeconomic, sociodemographic, health, health personal behaviors, and healthcare use-related factors with CCS nonadherence. The analysis was performed using structural equation models.

RESULTS

Regular follow-up by a gynecologist, good quality of primary care follow-up, and comorbidities were negatively associated with CCS nonadherence. Limited literacy, older age, being single, living without children, and financial strain were positively associated with CCS nonadherence. Our results do not point to competitive care, since women with comorbidities had better CCS behaviors, which were explained by a good quality of primary care follow-up.

CONCLUSION

Our study identified the factors that explain CCS nonadherence among women with obesity and clarified the effects of health status and healthcare use on screening. Further efforts should be undertaken to reduce the obstacles to CCS by improving care among women with obesity.

Prevalence and predictors of having no general practitioner - analysis of the German health interview and examination survey for adults (DEGS1)

BACKGROUND

Although patients in Germany are generally free to choose their primary healthcare provider, this role should mainly be assumed by general practitioners (GPs). While some predictors of the frequency of use of GP services have been reported in international studies, there is still a lack in knowledge what could deter people from contacting a GP in Germany. To improve healthcare, it is important to identify characteristics of people without a GP.

METHODS

This cross-sectional analysis was based on the first wave of the "German Health Interview and Examination Survey for Adults" (DEGS1) conducted by the Robert Koch Institute in 2008-2011. Descriptive analyses and multiple logistic regression by gender were performed to analyze the association between having no GP and age, gender, residential area, socioeconomic status (SES), marital status, working hours per week, general state of health, chronic diseases and health insurance.

RESULTS

Overall, 9.5% (95% confidence interval (CI): 8.4-10.7) of the 7755 participants stated to have no GP, more often men (11.4%) than women (7.6%). Life in urban areas (big cities vs. rural: adjusted odds ratio (aOR): 2.9, 95% CI: 2.1-3.9), younger age (18-29 years vs. 65-79 years: aOR: 4.4, 95% CI: 2.5-7.7) and the presence of chronic diseases (yes vs. no: aOR: 0.4, 95% CI: 0.3-0.6) showed significant associations of not having a GP. For men, the type of health insurance (private vs. statutory: aOR: 2.1, 95% CI: 1.5-3.0; other vs. statutory: aOR: 2.1, 95% CI: 1.4-3.1) and for women, SES (low vs. medium: aOR: 1.8, 95% CI: 1.2-2.7; high vs. medium: aOR: 2.1, 95% CI: 1.4-3.0) increased the risk of having no GP.

CONCLUSIONS

Our analysis offers new insights into the use of GPs in Germany and revealed differences between men and women. Public health strategies regarding access to a GP have to focus on men and on women with a low SES. Further analyses are needed to determine whether men with private health insurance prefer to consult a specialist rather than a GP. For young adults, improving the transition process from a pediatrician to a GP could fill a gap in health care.

Health inequalities among migrant and native-born populations in Greece in times of crisis: the MIGHEAL study

This article presents the MIGHEAL study, which was developed in parallel with the European Social Survey (ESS) Round 7 (2014). Conducted in Greece in 2016 by the National Centre for Social Research, the study was specifically designed to further our understanding of how health varies by social status, focusing particularly on migrant status. In the current article, we report results on health status (non-communicable diseases, self-reported health and depressive symptoms) and health determinants (risky health behaviours, social determinants and access to health care) in Greece, among migrants and native-born. Estimates for the Greek overall population are compared with the European ones (using the ESS 2014 data) and discussed with reference to the ongoing economic and social crisis in Greece. The study provides evidence of social inequalities in health, complementing the pan-European documentation, and supports prior research, which has identified negative health consequences of the crisis.

Leadership position and physician visits - results of a nationally representative longitudinal study in Germany

Background

So far, studies within the occupational field have largely concentrated on working conditions and job stressors and staff members’ or subordinate health. Only a few have focused on managers in this context, but studies are missing that explicitly look at the relation between leadership position and health care use (HCU). Thus, the purpose of this study was to examine the potential effects of a change in leadership position on HCU in women and men longitudinally.

Methods

Data were drawn from a nationally representative longitudinal study in Germany (German Socio-Economic Panel, GSOEP). Data from 2009 and 2013 were used. Leadership position was divided into (i) top management, (ii) middle management, (iii) lower management, and (iv) a highly qualified specialist position. The number of physician visits in the preceding 3 months were used to quantify HCU (n = 2140 observations in regression analysis; 69% male).

Results

Adjusting for various potential confounders (e.g., age, self-rated health, chronic conditions, and personality factors), Poisson FE regression analysis revealed that changes from a highly qualified specialist position to the top management were associated with a decrease in the number of physician visits in men (β = .47, p < .05), but not in women. Gender differences (gender x leadership position) were significant.

Conclusions

Findings of this study emphasize the impact of leadership positions on the number of physician visits in men. Further study is required to elucidate the underlying mechanisms.

Socioeconomic position, symptoms of depression and subsequent mental healthcare treatment: a Danish register-based 6-month follow-up study on a population survey

OBJECTIVE

Examine whether the severity of symptoms of depression was associated with the type of mental healthcare treatment (MHCT) received, independent of socioeconomic position (SEP).

DESIGN

Register-based 6-month follow-up study on participants from the Danish General Suburban Population Study (GESUS) 2010-2013, who scored the Major Depression Inventory (MDI).

PARTICIPANTS

Nineteen thousand and eleven respondents from GESUS.

INTERVENTIONS

The MHCT of the participants was tracked in national registers 4 months prior and 6 months after their MDI scores. MHCT was graduated in levels. SEP was defined by years of formal postsecondary education and income categorised into three levels. Data were analysed using logistic and Poisson regression analyses.

OUTCOMES

MHCT included number of contacts with: general practitioner (GP), GP mental health counselling, psychologist, psychiatrist, emergency contacts, admissions to psychiatric hospitals and prescriptions of antidepressants.

RESULTS

For 547 respondents with moderate to severe symptoms of depression there was no difference across SEP in use of services, contact (y/n), frequency of contact or level of treatment, except respondents with low SEP had more frequent contact with their GP. However, of the 547 respondents , 10% had no treatment contacts at all, and 47% had no treatment beyond GP consultation. Among respondents with no/few symptoms of depression, postsecondary education ≥3 years was associated with more contact with specialised services (adjusted OR (aOR) 1.92; 95% CI 1.18 to 3.13); however, this difference did not apply for income; additionally, high SEP was associated with fewer prescriptions of antidepressants (education aOR 0.69; CI 0.50 to 0.95; income aOR 0.56, CI 0.39 to 0.80) compared with low SEP.

CONCLUSION

Participants with symptoms of depression were treated according to the severity of their symptoms, independent of SEP; however, more than half with moderate to severe symptoms received no treatment beyond GP consultation. People in low SEP and no/few symptoms of depression were more often treated with antidepressants. The study was approved by The Danish Data Protection Agency Journal number 2015-41-3984. Accessible at: https://www.datatilsynet.dk/fortegnelsen/soeg-i-fortegnelsen/.

Determinants of having no general practitioner in Germany and the influence of a migration background: results of the German health interview and examination survey for adults (DEGS1)

BACKGROUND

It is aspired in the German healthcare system that general practitioners (GPs) act as initial contact for patients and guide through at all steps of medical treatment. This study aims at identifying factors associated with the odds of having no GP within the general population and especially among people with migration background.

METHODS

This cross-sectional analysis was based on the "German Health Interview and Examination Survey for Adults" (DEGS1) conducted by the Robert Koch Institute. Descriptive analyses as well as multiple logistic regression models were performed to analyse the impact of a migration background, age, gender, residential area, socioeconomic status (SES) and other factors on having no GP among 7755 participants.

RESULTS

9.5% of the total study population and 14.8% of people with a migration background had no GP, especially men, adults living in big cities and without chronic diseases. The odds of not having a GP were higher for people with a two-sided migration background (aOR: 1.90, 95% CI: 1.42-2.55). Among the population with a migration background, particularly young adults, men, people living in big cities and having a private health insurance showed higher odds to have no GP.

CONCLUSIONS

It is necessary to investigate the causes of the differing utilization of healthcare of people with a migration background and, if necessary, to take measures for an equal access to healthcare for all population groups. Further research needs to be done to evaluate how to get young people into contact with a GP.

Socioeconomic inequalities in health and the use of healthcare services in Catalonia: analysis of the individual data of 7.5 million residents

Background

The aim of this study is to analyse the health status, the use of public healthcare services and the consumption of prescription drugs in the population of Catalonia, taking into consideration the socioeconomic level of individuals and paying special attention to vulnerable groups.

Methods

Cross-sectional study of the entire population resident in Catalonia in 2015 (7.5 million people) using administrative records. Twenty indicators are analysed related to health, the use of healthcare services and consumption of prescription drugs. Rates, frequencies and averages are obtained for the different variables stratified by age groups (under 15 years, 15–64 years and 65 years or older), gender and socioeconomic status (calculated on the basis of pharmacy copayment levels and Social Security benefits received).

Results

A socioeconomic gradient was observed in all the indicators analysed, in both sexes and in all age groups. Morbidity, use of mental healthcare centres, hospitalisation rates and probability of drug consumption among children is 3–7 times higher for those with low socioeconomic level respect to those with a higher one. In children and adults, the steepest gradient was found in the use of mental health services. Moreover, there are gender inequalities.

Conclusion

There are significant socioeconomic inequalities in health status and in the use of healthcare services in the population of Catalonia. To respond to this situation, new policies on health and other areas, such as education and employment, are required, especially those that have an impact on early years.

Variations in diagnostic testing utilization in Italy: Secondary analysis of a national survey

Background

According to the principle of horizontal equity, individuals with similar need may have the same possibility of access to health services. The aim of this study is to identify patterns of diagnostic services utilization, in people with, and without chronic disease in Italy.

Methods

Secondary analysis of data from the national survey on Health and use of health care in Italy, carried out in 2013, including 99,497 participants. Multilevel analysis has been used to study the variables associated to diagnostic services utilization.

Results

13.78% of participants have had one diagnostic testing in the four weeks before the interview. In healthy people, utilization of diagnostic testing is reduced in people with low educational level (OR 0.75; 95%CI 0.67–0.84), in housewives (OR 0.66; 95%CI 0.51–0.87), or in those unable to work (OR 0.48; 95%CI 0.26–0.87), while increased in those perceiving a worse health status (up to OR 4.00, 95%CI 2.00–8.01 in very bad health). In people afflicted with chronic disease, access to diagnostic assessment is impaired by educational level (OR 0.69; 95%CI 0.61–0.78) and low household income (OR 0.75; 95%CI 0.58–0.97), while it is increased in the presence of a ticket exemption (OR 1.55, 95%CI 1.42–1.68), and fixed-term occupation (OR2.28, 95%CI 1.31–3.95). Being former-smokers in associated to an increased utilization of services in both groups.

Conclusions

Despite a universal and theoretically egalitarian, public, health care system, variations in diagnostic services utilization are still registered in Italy, both in healthy people and those afflicted by chronic diseases, on socio-economic/occupational basis, and self-perceived health status. Moreover, this significant effect of occupation on healthcare utilization, suggests the need for a comprehensive evaluation of economics in occupational health.

The social determinants of inequalities in self-reported health in Europe: findings from the European social survey (2014) special module on the social determinants of health

Background

Health inequalities persist between and within European countries. Such inequalities are usually explained by health behaviours and according to the conditions in which people work and live. However, little is known about the relative contribution of these factors to health inequalities in European countries. This paper aims to investigate the independent and joint contribution of a comprehensive set of behavioural, occupational and living conditions factors in explaining social inequalities in self-rated health (SRH).

Method

Data from 21 countries was obtained from the 2014 European Social Survey and examined for respondents aged 25-75. Adjusted rate differences (ARD) and adjusted rate risks (ARR), generated from binary logistic regression models, were used to measure health inequalities in SRH and the contribution of behavioural, occupational and living conditions factors.

Result

Absolute and relative inequalities in SRH were found in all countries and the magnitude of socio-economic inequalities varied considerably between countries. While factors were found to differentially contribute to the explanation of educational inequalities in different European countries, occupational and living conditions factors emerged as the leading causes of inequalities across most of the countries, contributing both independently and jointly with behavioural factors.

Conclusion

The observed shared effects of different factors to health inequalities points to the interdependent nature of occupational, behavioural and living conditions factors. Tackling health inequalities should be a concentred effort that goes beyond interventions focused on single factors.

The health of European populations: introduction to the special supplement on the 2014 European Social Survey (ESS) rotating module on the social determinants of health

This introduction summarizes the main findings of the Supplement 'Social inequalities in health and their determinants' to the European Journal of Public Health. The 16 articles that constitute this supplement use the new ESS (2014) health module data to analyze the distribution of health across European populations. Three main themes run across these articles: documentation of cross-national variation in the magnitude and patterning of health inequalities; assessment of health determinants variation across populations and in their contribution to health inequalities; and the examination of the effects of health outcomes across social groups. Social inequalities in health are investigated from an intersectional stance providing ample evidence of inequalities based on socioeconomic status (occupation, education, income), gender, age, geographical location, migrant status and their interactions. Comparison of results across these articles, which employ a wide range of health outcomes, social determinants and social stratification measures, is facilitated by a shared theoretical and analytical approach developed by the authors in this supplement.