Education and self-reported health care seeking behaviour in European welfare regimes: results from the European Social Survey

Educational differences in healthcare use among survivors after breast, prostate, lung, and colon cancer - a SEQUEL cohort study

BACKGROUND

Many cancer survivors experience late effects after cancer. Comorbidity, health literacy, late effects, and help-seeking behavior may affect healthcare use and may differ among socioeconomic groups. We examined healthcare use among cancer survivors, compared with cancer-free individuals, and investigated educational differences in healthcare use among cancer survivors.

METHODS

A Danish cohort of 127,472 breast, prostate, lung, and colon cancer survivors from the national cancer databases, and 637,258 age- and sex-matched cancer-free individuals was established. Date of entry was 12 months after diagnosis/index date (for cancer-free individuals). Follow-up ended at death, emigration, new primary cancer, December 31st, 2018, or up to 10 years. Information about education and healthcare use, defined as the number of consultations with general practitioner (GP), private practicing specialists (PPS), hospital, and acute healthcare contacts 1-9 years after diagnosis/index date, was extracted from national registers. We used Poisson regression models to compare healthcare use between cancer survivors and cancer-free individuals, and to investigate the association between education and healthcare use among cancer survivors.

RESULTS

Cancer survivors had more GP, hospital, and acute healthcare contacts than cancer-free individuals, while the use of PPS were alike. One-to-four-year survivors with short compared to long education had more GP consultations (breast, rate ratios (RR) = 1.28, 95% CI = 1.25-1.30; prostate, RR = 1.14, 95% CI = 1.10-1.18; lung, RR = 1.18, 95% CI = 1.13-1.23; and colon cancer, RR = 1.17, 95% CI = 1.13-1.22) and acute contacts (breast, RR = 1.35, 95% CI = 1.26-1.45; prostate, RR = 1.26, 95% CI = 1.15-1.38; lung, RR = 1.24, 95% CI = 1.16-1.33; and colon cancer, RR = 1.35, 95% CI = 1.14-1.60), even after adjusting for comorbidity. One-to-four-year survivors with short compared to long education had less consultations with PPS, while no association was observed for hospital contacts.

CONCLUSION

Cancer survivors used more healthcare than cancer-free individuals. Cancer survivors with short education had more GP and acute healthcare contacts than survivors with long education. To optimize healthcare use after cancer, we need to better understand survivors' healthcare-seeking behaviors and their specific needs, especially among survivors with short education.

Are Frail Older People from Racial/Ethnic Minorities at Double Jeopardy of Putting off Healthcare during the Pandemic?

Given the differential impacts of COVID-19 on racial and ethnic groups, it is unclear how racial/ethnic status and frailty combine to influence pandemic-related healthcare disruptions. This study aimed to test the double jeopardy hypothesis: racial/ethnic minority older adults suffer a double disadvantage in access to health care during the pandemic due to the interactive effects of frailty and race. This study uses the linked National Health and Aging Trends Study (NHATS) and COVID-19 public use data files. A multivariate logistic regression model was performed. Overall, approximately two out of five (41%) older adults reported postponing care due to the pandemic. The likelihood of putting off care increased slightly by frailty status. We found no significant difference between Whites and non-Whites in putting off care. However, the simple comparison masked significant variation across frailty status. Robust non-White older people were less likely to put off care than robust Whites (robust non-Whites: 29% vs. robust Whites: 39%); in contrast, frail non-White older people were more likely to put off care (frail non-Whites: 55% vs. frail Whites: 42%). Being frail and non-White creates double jeopardy, which has a negative impact on access to healthcare. Timely access to care is essential for frail older people, particularly non-Whites, because of their complex health conditions accentuated by health and social disparities.

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.

Responses to hypothetical health scenarios overestimate healthcare utilization for common infectious syndromes: a cross-sectional survey, South Africa, 2012

Background

Asking people how they would seek healthcare in a hypothetical situation can be an efficient way to estimate healthcare utilization, but it is unclear how intended healthcare use corresponds to actual healthcare use.

Methods

We performed a cross-sectional survey between August and September 2012 among households in Soweto and Klerksdorp, South Africa, to compare healthcare seeking behaviors intended for hypothetical common infectious syndromes (pneumonia, influenza-like illness [ILI], chronic respiratory illness, meningitis in persons of any age, and diarrhea in a child < 5 years old) with the self-reported healthcare use among patients with those syndromes.

Results

For most syndromes, the proportion of respondents who intended to seek healthcare at any facility or provider (99–100%) in a hypothetical scenario exceeded the proportion that did seek care (78–100%). More people intended to seek care for a child < 5 years old with diarrhea (186/188 [99%]) than actually did seek care (32/41 [78%], P < 0.01). Although most people faced with hypothetical scenarios intended to seek care with licensed medical providers such as hospitals and clinics (97–100%), patients who were ill reported lower use of licensed medical providers (55–95%).

Conclusions

People overestimated their intended healthcare utilization, especially with licensed medical providers, compared with reported healthcare utilization among patients with these illnesses. Studies that measure intended healthcare utilization should consider that actual use of healthcare facilities may be lower than intended use.

The role of health literacy in explaining the association between educational attainment and the use of out-of-hours primary care services in chronically ill people: a survey study

Background

Low socioeconomic status (SES) is persistently associated with poor health and suboptimal use of healthcare services, and more unplanned healthcare use. Suboptimal use of emergency and acute healthcare services may increase health inequalities, due to late diagnosis or lack of continuity of care. Given that health literacy has been associated with healthcare utilisation and with education attainment, we sought to explore whether health literacy is related to the use of out-of-hours (OOH) Primary Care Services (PCSs). Additionally, we aimed to study whether and to what extent health literacy accounts for some of the association between education and OOH PSC use.

Methods

A survey including measures of education attainment, health literacy (assessed by means of the Dutch version of the nine-dimension Health Literacy Questionnaire) and use of PCS was conducted among a sample of adults diagnosed with (any) somatic chronic condition in the Netherlands (response 76.3%, n = 1811). We conducted linear and logistic regression analyses to examine associations between education level and PCS use in the past year. We performed mediation analyses to assess whether the association between education and PCS use was (partly) explained by different aspects of health literacy. We adjusted the models for patient characteristics such as age and morbidity.

Results

Higher education attainment was associated with higher scores on the health literacy aspects Appraisal of health information, and Navigating the healthcare system. Additionally, appraisal and navigating the healthcare system partially accounted for educational differences in PCS use. Finally, higher appraisal of health information scores were associated with higher PCS utilisation.

Conclusion

Several aspects of health literacy were demonstrated to relate to PCS use, and partly accounted for educational differences herein. Accordingly, developing health literacy within individuals or communities may help to reduce inappropriate PCS use among people with low education.

The intertwined relationship between patient education, hospital waiting times and hospital utilization

Background Hospital waiting times are established instruments to ration healthcare when resources are scarce. However, higher educated patients may be better able to influence access to, and exit from, hospital care when waiting times are long. Methods Based on a representative sample of 11 European countries from the Survey of Health, Ageing and Retirement in Europe (SHARE) collected in 2004/2005, this paper investigates whether the relationship between individual educational background and hospital utilization depends on the prevalent hospital waiting times in a country. Logistic regression with interaction effects between individual education and average waiting times per country are conducted. Results Primary education is significantly associated with a lower probability of visiting a hospital overnight (OR = 0.88) compared to secondary and tertiary education. Patients in countries with long waiting times had shorter stays (OR = 0.92), and the significant interaction effect indicates that lower educated patients have longer hospital stays than higher educated patients in countries where waiting times tend to be long (OR = 1.06). Conclusions While the findings imply that educational differences exist with regard to hospital care, future research should investigate potential underlying mechanisms, i.e. patients' perceived access barriers and the perceived quality of hospital treatment.

Trends in self-rated health and association with socioeconomic position in Estonia: data from cross-sectional studies in 1996-2014

Background

Self-rated health (SRH) and socioeconomic position (SEP) as important determinants of health differences are associated with health and economic changes in society.

The objectives of this paper were (1) to describe trends in SRH and (2) to analyze associations between SRH and SEP among adults in Estonia in 1996–2014.

Methods

The study was based on a 25–64-year-old subsample (n = 18757) of postal cross-sectional surveys conducted every second year in Estonia during 1990–2014. SRH was measured using five-point scale and was dichotomized to good and less-than-good. Standardized prevalence of SRH was calculated for each study year. Poisson regression with likelihood ratio test was performed for testing trends of SRH over study years. Age, nationality, marital status, education, work status and income were used to determine SEP. Logistic regression analysis was used to assess association between SRH and SEP.

Results

The prevalence of dichotomized good self-rated health increased significantly over the whole study period with slight decrease in 2008–2010. Until 2002, good SRH was slightly more prevalent among men, but after that, among women. Good SRH was significantly associated with younger age, higher education and income and also with employment status among both, men and women. Good SRH was more prevalent among Estonian women and less prevalent among single men.

Conclusions

There was a definite increase of good SRH over two decades in Estonia following economic downturn between 2008 and 2010. Good SRH was associated with higher SEP over the study period. Further research is required to study the possible reasons behind increase of good SRH, and it’s association with SEP among adults in Estonia.

Professional care seeking for mental health problems among women and men in Europe: the role of socioeconomic, family-related and mental health status factors in explaining gender differences

PURPOSE

This comparative study examines cross-national variation in gender differences in primary and specialized mental health care use in Europe. We investigate to what extent socioeconomic, family-related, and mental health factors explain the gender difference, and how the impact of these groups of determinants on gender differences in mental health care use varies between countries.

METHODS

Data from the Eurobarometer 248 (2005-2006) for 29 European countries is used and country-specific logistic regression analyses are performed.

RESULTS

Gender differences in professional care seeking are largely need based. In almost one-third of the countries examined, the gender difference is mainly attributable to women's poorer mental health status. However, in some countries, family and socioeconomic characteristics also have an independent contribution to the gender difference in mental health care use. Women's higher likelihood of a lower socioeconomic position, might partly explain their higher primary care use, while in some countries, it restricts their specialized care use. In addition, some social conditions, as having children and being widowed, seem to function in a few countries as suppressors of women's care use.

CONCLUSIONS

Our study has shown that the gender difference in mental health care use, with women having a higher care use, is not a consistent European phenomenon and is dependent on the type of care provider, with greater gender inequity in the use of primary health care. The social roles adopted by men and women have in some countries on top of the mental health status a relevant influence on the greater tendency among women to contact a care provider. How the socioeconomic and family characteristics moderate the relation between gender and mental health care use is not straightforward and country dependent.

Healthcare-seeking behaviour in rural Ethiopia: evidence from clinical vignettes

OBJECTIVES

To investigate the determinants of healthcare-seeking behaviour using five context-relevant clinical vignettes. The analysis deals with three issues: whether and where to seek modern care and when to seek care.

SETTING

This study is set in 96 villages located in four main regions of Ethiopia. The participants of this study are 1632 rural households comprising 9455 individuals.

PRIMARY AND SECONDARY OUTCOME MEASURES

Probability of seeking modern care for symptoms related to acute respiratory infections/pneumonia, diarrhoea, malaria, tetanus and tuberculosis. Conditional on choosing modern healthcare, where to seek care (health post, health centre, clinic and hospital). Conditional on choosing modern healthcare, when to seek care (seek care immediately, the next day, after 2 days, between 3 days to 1 week, a week or more).

RESULTS

We find almost universal preference for modern care. Foregone care ranges from 0.6% for diarrhoea to 2.5% for tetanus. There is a systematic relationship between socioeconomic status and choice of providers mainly for adult-related conditions with households in higher consumption quintiles more likely to seek care in health centres, private/Non-Government Organization (NGO) clinics as opposed to health posts. Delays in care-seeking behaviour are apparent mainly for adult-related conditions and among poorer households.

CONCLUSIONS

The analysis suggests that the lack of healthcare utilisation is not driven by the inability to recognise health problems or due to a low perceived need for modern care.

Social inequalities in patient experiences with general practice and in access to specialists: the population-based HUNT Study

BACKGROUND

In countries with gatekeeping and equitable access to general practitioners (GPs), social inequalities in GP-patient interaction could be an important mechanism by which inequalities in access to medical specialists arise. The aim of this study was to investigate whether socioeconomic inequalities in experiences with general practice are associated with socioeconomic inequalities in access to specialist services.

METHODS

The study included 6,067 participants in the third survey of the Nord-Trøndelag Health Study (HUNT3, 2006-08) who were asked to evaluate their experiences with primary care and their regular general practitioner in Norway. Self-reported data on health status and number of visits to GP and specialist services in the last 12 months were included in the study. Socioeconomic status was measured by education and household income and rescaled to relative index of inequality (RII). Relative risks were calculated using Poisson regression.

RESULTS

We found that a majority of patients reported positive experiences with general practice. Low socioeconomic status (SES) and male gender were associated with negative experiences. Patient experiences both directly and indirectly related to referrals were associated with the probability and quantity of specialist utilization: perception of low subjective influence on decisions about choice of medical care was associated with lower probability and quantity of specialist utilization, whereas desire to change the regular GP or to use GPs other than the regular GP and critical evaluations of the GP were associated with higher specialist consultation frequency. However, the level of education-related inequity in access to specialists was not sensitive to adjustment by survey responses.

CONCLUSION

Patient experiences with general practice were associated with the patients' level of utilization of specialist services. There are socioeconomic inequalities in patient experiences with general practice, however the aspects measured in this study do not explain the observed socioeconomic inequity in access to specialists.

Socio-economic inequalities in Norwegian health care utilization over 3 decades: the HUNT Study

BACKGROUND

The aim of this study was to investigate socio-economic inequalities in health care utilization from the 1980s and through the last 3 decades in a Norwegian county population.

METHODS

Altogether, 166 758 observations of 97 251 individuals during surveys in 1984-86 (83% eligible responses), 1995-97 (51% eligible responses) and 2006-08 (50% eligible responses) of the total population of adults (≥ 20 years) from Nord-Trøndelag county in Norway were included. Health care utilization was measured as at least one visit to general practitioner (GP), hospital outpatient services and inpatient care in the past year. Socio-economy was measured by both education and income and rescaled to measure relative indexes of inequality (RII). Relative and absolute inequalities were estimated from multilevel logistic regression. Estimates were adjusted for age, sex, municipality size and self-reported health.

RESULTS

GP utilization was higher among individuals with higher education in 1984-86. Among men the RII was 0.54 (CI: 0.48-0.62), and among women RII was 0.67 (CI: 0.58-0.77). In 2006-08, the corresponding RII was 1.31 (CI: 1.13-1.52) for men and 1.00 (CI: 0.85-1.18) for women, indicating higher or equal GP utilization among those with lower education, respectively. The corresponding RIIs for outpatient consultations were 0.58 (CI: 0.49-0.68) for men and 0.40 (CI: 0.34-0.46) for women in 1984-86, and 0.53 (CI: 0.46-0.62) for men and 0.47 (CI: 0.41-0.53) for women in 2006-08.

CONCLUSION

Through the last 3 decades, the previous socio-economic differences in GP utilization have diminished. Despite this, highly educated people were more prone to utilize hospital outpatient consultations throughout the period 1984-2008.