Determinants Of Health Care Use Research Articles

The role of sociodemographic, psychosocial, and behavioral factors in the use of preventive healthcare services in children and adolescents: results of the KiGGS Wave 2 study

BackgroundIn Germany, various preventive services are offered to children and adolescents. These include regular standardized examinations (so called U/J examinations) and several vaccinations. Although strongly recommended, most of them are not mandatory. Our aim is to identify factors associated with the use of U/J examinations and vaccination against diphtheria, hepatitis B, Hib, pertussis, polio, and tetanus. While previous research has focused on sociodemographic factors, we also include socioeconomic, behavioral, and psychosocial factors.MethodsWe analyzed cross-sectional data from 15,023 participants (aged 0–17 years) of the nationwide representative KiGGS Wave 2 Survey. Participation in U/J examinations was assessed using a questionnaire, filled out by participants and/or their parents. Information on vaccination status was drawn from the participants’ vaccination booklets. To identify relevant determinants for the use of preventive examinations and vaccinations, unadjusted and adjusted logistic regression models were employed with up to 16 different independent variables.ResultsVarious independent variables showed an association with the use of preventive services. Higher socioeconomic status, absence of migration background, and lower household size were associated with significantly higher utilization of U examinations. Parents’ marital status, area of residence, behavioral and psychosocial factors yielded insignificant results for most U/J examinations. Higher vaccination rates were found for children with no migration background, with residence in eastern Germany, lower household size, and with married parents.ConclusionThis study attempted to depict the influence of sociodemographic, psychosocial, and behavioral factors on the use of several preventive services. Our results indicate that predominantly sociodemographic variables influence the use of preventive services. Further efforts should be made to investigate the interplay of different determinants of healthcare use in children and adolescents.

The Relationship of COVID-19 Vaccination Status with Health Literacy of Syrians Living in Istanbul.

Health literacy is an important determinant of health care use among refugees and migrant communities. This present study aimed to evaluate the relationship between health literacy levels, sociodemographic characteristics, and the status of receiving the COVID-19 vaccine in Syrians under "Temporary Protection" in Istanbul. This study was conducted in February, March, and May 2022 in an Extended Migrant Health Center in Istanbul, with a survey prepared in Arabic under observation. A total of 571 questionnaires were analyzed. The mean age of the participants was 31.92 ± 6.14, and 80.7% were female and 26.6% were high school graduates. A total of 55.0% of Syrians have not had any of the COVID-19 vaccines. The health literacy level of 1.1% of the immigrants was determined as "excellent", 68.7% as "inadequate", 20.7% as "problematic/limited", and 9.6% as "adequate". According to the logistic regression model, being male, of elder age, middle and above economic status, and having a chronic disease in the family were determined as the variables associated with the status of being vaccinated against COVID-19. Refugees are a group often exposed to inequalities in access to health services. Increasing health literacy in these groups will provide a significant improvement in access to and use of health services.

Genetic Testing and Other Healthcare Use by Black and White Individuals in a Genomic Sequencing Study

Introduction: Early adopters play a critical role in the diffusion of medical innovations by spreading awareness, increasing acceptability, and driving demand. Understanding the role of race in the context of other characteristics of potential early adopters can shed light on disparities seen in the early implementation of genomic medicine. We aimed to understand the association between self-identified race and individual experience with genetic testing outside of the research context. Methods: We assessed factors associated with the odds of having ever received genetic testing prior to enrollment in a genomic sequencing study among 674 self-identified white and 407 self-identified African, African American, or Afro-Caribbean (“Black”) individuals. Results: Controlling for individual determinants of healthcare use (demographics, personality traits, knowledge and attitudes, and health status), identifying as Black was associated with lower odds of prior genetic testing (OR = 0.43, 95% CI [0.27–0.68], p < 0.001). In contrast, self-identified race was not associated with the use of non-genetic clinical screening tests (e.g., echocardiogram, colonoscopy). Black and white individuals were similar on self-reported personality traits tied to early adoption but differed by sociodemographic and resource facilitators of early adoption. Conclusion: Persistent racial disparities among early adopters may represent especially-entrenched disparities in access to and knowledge of genomic technologies in clinical settings.

Kayseri İl Merkezinde Sağlık Hizmetleri Kullanımındaki Değişim ve Etkileyen Faktörler: 2004 ve 2017 Yılları Karşılaştırmalı Topluma Dayalı Kesitsel Çalışma

Objective: This study aimed to examine the change in health service use and its affecting factors by comparing the findings of 2 studies conducted at different times, with the same data collection tools, in the same health service region. Material and Methods: The first cross-sectional study was conducted in 2004, in urban areas in Kayseri, with 501 households and 1,880 people in Primary Health Centers. The second was carried out in 2017, in 30 Family Health Centers, with 801 households and 2,253 people. The data were collected by the face-to-face interview method using a questionnaire. In statistical analysis, mean±standard deviation, median (Q1-Q3), Mann-Whitney U, Kruskal-Wallis, Pearson χ2 , logistic regression analysis were used. The value p <0.05 was accepted as statistically significant. Results: The rate of health service utilization (HSU) increased from 79.6% to 84.8%, the average number of visits to physicians per person increased from 4.9 to 6.9. While the proportion of primary HSU increased to 45.8%, requests for visits to public hospital decreased to 26.4%. Healthcare use was significantly higher in male gender (2.2-2.3 times), 65 years and older (2.8-3.2 times), in people with good income (1.8-1.5 times), and in those with negative health perception (1.8-1.9 times). Conclusion: There has been a significant improvement in HSU parameters, particularly in Primary Health Care Centers services. Male gender, good level income, advanced age (≥65), and negative health perception are the main determinants of healthcare use. These results require a better understanding of the factors that make access to the health facilities difficult and the development of strategies that ensure fair use of health services.

The determinants of healthcare utilisation in regional, rural and remote South Australia: A cross-sectional study.

Accessibility of health services outside metropolitan centres in Australia is sub-optimal. Recognising the barriers and enablers of healthcare access in rural, remote and regional settings is necessary to improving health service access in these disadvantaged populations. Accordingly, this study aimed to examine the determinants of healthcare use in rural, remote and regional South Australia. Cross-sectional survey data were collected from adults living outside metropolitan Adelaide in South Australia between April 2017 and March 2018. Using a multi-modal recruitment campaign, eligible adults were invited to complete the 44-item consumer utilisation, expectations and experiences of healthcare instrument. Independent predictors of health service utilisation (dependent variable) were determined using negative binomial regression. The questionnaire was completed by 3926 predominantly female (52.5%) adults aged ≥50 years (56.7%), residing in regional South Australia (84.5%). Fifteen independent variables were significantly associated with health service utilisation using univariate analyses. Using negative binomial regression analysis, two predisposing factors (sex, remoteness), three enabling factors (income, health literacy, employment), two need factors (health rating, multimorbidity) and two personal health practices (alcohol, diet) were independently and significantly associated with healthcare use. Female sex (OR=1.436, p< 0.001), good/excellent health rating (OR=0.589, p< 0.001) and high multimorbidity (OR=1.408, p< 0.001) were the strongest predictors of health service use. These findings will help inform the development of targeted health promotion and service engagement strategies for regional populations, which in addition to addressing workforce shortages, may help address inequity in health outcomes, particularly for groups engaging with regional healthcare services infrequently.

Determinants of Demand for Health Care Among Sexually Transmitted Infections Patients in Kenya

Globally, sexually transmitted infections (STIs) have become an enormous burden leading to high mortality and morbidity. In Kenya, various policies have been formulated to address various conditions including STIs. Individuals suffering from STIs are highly encouraged to seek medical care and avoid transmitting to uninfected individuals. In Kenya, about 14% of men and 25% of women never sought treatment for STIs or advice from any healthcare service provider. Furthermore, 42% and 23% of people with sexually transmitted infections had been symptomatic for a period of one and two weeks respectively. Although numerous studies have been conducted in many countries to establish the determinants of healthcare use among people with sexually transmitted infections, there is still very little information on the determinants of healthcare use among STI patients in Kenya. The aim of this study was to determine factors influencing health care demand for STIs in Kenya. The study analyzed data from the 2014 Kenya Demographic Household Survey (KDHS). Descriptive statistics and binary probit regression analyses were done to explore factors influencing the use of health services among STI patients in Kenya. The findings revealed that the age of the patient, sex, marital status, education levels, wealth quintiles, employment status, residence, and sex partners were statistically significant determinants of the utilization of healthcare services among STI patients in Kenya.

Determinants of Healthcare Use Based on the Andersen Model: A Systematic Review of Longitudinal Studies.

The aim was to give an overview of longitudinal observational studies investigating the determinants of healthcare use explicitly using the Andersen model. To this end, three electronic databases (Medline, PsycINFO and CINAHL) were searched (and an additional hand search was performed). Longitudinal observational studies examining the determinants of healthcare use (outpatient physician services and hospital stays) based on the Andersen model were included, whereas disease-specific samples were excluded. Study quality was evaluated. The selection of studies, extraction of data and assessment of the studies were conducted by two reviewers. The following determinants of healthcare use were displayed based on the (extended) Andersen model: predisposing characteristics, enabling resources, need factors and psychosocial factors. In sum, n = 10 longitudinal studies have been included in our systematic review. The included studies particularly showed a longitudinal association between increased needs and higher healthcare use. Study quality was rather high. However, several studies did not conduct robustness checks or clarify the handling of missing data. In conclusion, this systematic review adds to our current understanding of the factors associated with healthcare use (mainly based on cross-sectional studies). It showed mixed evidence with regard to the association between predisposing characteristics, enabling resources and healthcare use longitudinally. In contrast, increased need factors (in particular, self-rated health and chronic conditions) were almost consistently associated with increased healthcare use. This knowledge may assist in managing healthcare use. Since most of the studies were conducted in North America or Europe, future longitudinal studies from other regions are urgently required.

Determinants of health care use among homeless individuals: evidence from the Hamburg survey of homeless individuals

BackgroundTo identify the determinants of health care use among homeless individuals.MethodsData were taken from the Hamburg survey of homeless individuals (n = 100 individuals in the here used model, mean age 44.8 years, SD 12.5) focusing on homeless individuals in Hamburg, Germany. The number of physician visits in the past 3 months and hospitalization in the preceding 12 months were used as outcome measures. Drawing on the Andersen model of health care use as a conceptual framework, predisposing characteristics, enabling resources and need factors as well as psychosocial variables were included as correlates.ResultsNegative binomial regressions showed that increased physician visits were associated with being female (IRR: 4.02 [95% CI: 1.60–10.11]), absence of chronic alcohol consume (IRR: 0.26 [95% CI: 0.12–0.57]) and lower health-related quality of life (IRR: 0.97 [95% CI: 0.96–0.98]). Furthermore, logistic regressions showed that the likelihood of hospitalization was positively associated with lower age (OR: 0.93 [95% CI: 0.89–0.98]), having health insurance (OR: 8.11 [2.11–30.80]) and lower health-related quality of life (OR: 0.97 [95% CI: 0.94–0.99]).ConclusionsOur study showed that predisposing characteristics (both age and sex), enabling resources (i.e., health insurance) and need factors in terms of health-related quality of life are main drivers of health care use among homeless individuals. This knowledge may assist in managing health care use.

Inequality in healthcare use among older people in Colombia

BackgroundSince the early 1990s, Colombia has made great strides in extending healthcare coverage to its population. In order to measure the impact of these efforts, it is important to assess whether the introduction of universal health coverage has translated into equitable access to healthcare in the country, particularly for the elderly. Thus, in this study we assessed the inequality in utilization of health services among elderly patients in Colombia. In addition, we identified the determinants of healthcare utilization.MethodsWe analyzed the 2015 Colombian health, well-being and aging study (SABE). To classify determinants of healthcare use into predisposing, enabling and need factors, we employed the Anderson framework of healthcare utilization. Use of outpatient, inpatient and preventive health services constituted the dependent variables. We performed multivariate logistic regressions, estimated concentration indexes (CI) and performed decomposition analyses of the CIs to determine the contribution of various determinants to inequality of healthcare utilization.ResultsThe study sample included 23,694 adults over 60-years-old. Wealth quintile, urban dwelling, health insurance type and multimorbidity predicted the utilization of all types of healthcare services except for hospitalization. Aside from inpatient care, pro-rich inequality in utilization of healthcare services was present. Wealth quintile and type of health insurance were the largest contributors to pro-rich inequality in use of preventive services.ConclusionsWhile there has been progress in health insurance coverage for the elderly in Colombia, there are still equality challenges in the delivery of healthcare, especially for preventive and outpatient care. These inequalities are driven by individual characteristics such as wealth, urban residence, type of health insurance carried, and presence of multimorbidity. To address this issue, the Colombian health system should extend health insurance coverage to uninsured populations, as well as reduce barriers of access to healthcare services among poorest and the rural population receiving subsidized insurance.

Determinants of Dental Service Use Based on the Andersen Model: A Study Protocol for a Systematic Review.

Introduction: Drawing on the Andersen model, there is a large body of evidence examining the determinants of health care use, such as doctor visits or hospitalization. However, far less is known about the determinants of dental service use, explicitly using the Andersen model. Consequently, the aim of this systematic review is to summarize and critically analyze evidence from observational studies that examine the determinants of dental service use based on the Andersen model. Methods and analysis: The following electronic databases will be searched: PubMed, PsycInfo, and CINAHL. Our main inclusion criterion is: observational studies (cross-sectional and longitudinal) investigating the determinants of dental service use based on the Andersen model. Disease-specific samples will be excluded. Data extraction will concentrate on methods (such as measurement of dental service use), sample characteristics (such as age and gender) and key results. The study quality will be assessed using an appropriate tool. Three steps (selecting the studies, extracting the data and assessment of study conducted) will be performed by two reviewers. The findings will be displayed using figures, summary tables, narrative summaries and meta-analysis (if studies are deemed similar enough and of appropriate quality).

Determinants of healthcare use by homeless people with schizophrenia or bipolar disorder: results from the French Housing First Study

ObjectivesThere is limited evidence available on the health-seeking behaviours of individuals in relation to determinants of healthcare use. This study aimed to analyse the determinants of healthcare use (including both hospital and outpatient services) among homeless people with severe mental health illnesses. Study designThe study used data from a multicentre, randomised, controlled trial conducted in four large French cities (the French Housing First Study). MethodsData were drawn from 671 homeless people enrolled in the study between August 2011 and April 2014. Mobile mental health outreach teams recruited homeless individuals with severe mental health illnesses who were living on the street or in emergency shelters, hospitals or prisons. Data collection was performed during face-to-face interviews. Healthcare service use included hospitalisations, mental health and regular emergency department (ED) visits and outpatient visits to healthcare facilities or physicians’ offices over a 6-month follow-up period. The data were analysed with zero-inflated (ZI) two-part models. ResultsIn total, 61.1% of participants had at least one hospitalisation stay over the previous 6 months, with a mean of 25 (+/− 39.2) hospital days, and the majority (51%) had visited the ED (either for regular or mental health issues) during the same time period. The results confirmed the role of financial barriers (resources and health insurance) in seeking hospital care (P < 0.05). The main predictors for hospital use in the study population were a better social functioning score (odds ratio [OR]: 1.03; P < 0.001) and having schizophrenia (OR: 1.39; P < 0.01). Higher mental health scores (assessed by the Medical Outcomes Study 36-item Short Form Health Survey) (OR: 1.03, P < 0.01) and alcohol dependence (OR: 2.13; P < 0.01) were associated with not using ED healthcare services. Being ‘absolutely homeless’ predicted an increased use of the ED and a zero use of outpatient services. Inversely, no association with factors related to the homelessness trajectory was found in hospital ZI negative binomial models. ConclusionThis study is important because a comprehensive understanding of the determinants of healthcare use enables healthcare systems to adapt and develop. The efficiency of medicosocial interventions targeting the homeless population with mental health illnesses must also be assessed. Clinical trial numberNCT01570712.

Beyond symptoms: why do patients see the doctor?

Why look at the determinants of doctor visits? Knowledge about the determinants of healthcare use is important to manage healthcare use, and to avoid its misuse as well as over- and under-use. To date, most studies examining the determinants of healthcare use refer to the widely-applied Andersen model. This model distinguishes between predisposing characteristics (such as sex or age), enabling resources (such as income or status of health insurance), and need factors (such as self-rated health or chronic conditions). A systematic review published in 2012 showed that need factors are important determining factors for individual healthcare service use.1 However, it appears plausible that other factors are also important, such as (1) personality characteristics (for example, neuroticism), or (2) psychosocial factors like loneliness (the state in which a person’s social network is smaller or less satisfying than desired), or life satisfaction (cognitive evaluation of life as a whole). Let’s take a closer look at some recent findings. Adjusting for various covariates included in the Andersen model, it was shown that personality factors, such as extraversion and neuroticism, are related to physician visit rates in the US and Germany.2,3 Extraverted individuals are, for example, talkative, …

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

To investigate the relationship between patterns of gynaecological check-up and body mass index while accounting for various determinants of health care use. 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. 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. Further efforts should be made to enhance the take-up of screening among obese women who are deterred by the healthcare system.

Predictors of healthcare utilisation among poor older people under the livelihood empowerment against poverty programme in the Atwima Nwabiagya District of Ghana

BackgroundLike many other low- and middle-income countries (LMICs), the Ghanaian healthcare system remains poor which is likely to affect the utilisation of healthcare services, especially among poor older people who are faced with multiple health problems. Yet, factors that explain healthcare use among poor older people in LMICs, particularly Ghana remain largely unexplored. Understanding the predictors of healthcare use among poor older people could have a huge impact on health policies in LMICs including Ghana. This study, therefore, examined factors associated with healthcare use among poor older people under the Livelihood Empowerment Against Poverty (LEAP) programme in the Atwima Nwabiagya District of Ghana.MethodsCross-sectional data were obtained from an Ageing, Health, Lifestyle and Health Services (AHLHS) study conducted between 1 and 20 June 2018 (N = 200) in Atwima Nwabiagya District, Ghana. Sequential logistic regression models were performed to estimate the variables that predict healthcare use among poor older people. All test results were considered significant at 0.05 or less.ResultsThe fully adjusted model showed that respondents aged 85–89 years (AOR = 0.094, CI: 0.007–1.170), acquired basic education (AOR =0.251, CI: 0.085–0.987), received no family support (AOR = 0.771, CI: 0.120–0.620), with no past illness records (AOR = 0.236, CI: 0.057–0.197) and who were not diagnosed of chronic non-communicable diseases (AOR = 0.418, CI: 0.101–0.723) were significantly less likely to utilise health facility compared with their respective counterparts. Moreover, those with no disability (AOR = 19.245, CI: 2.415–29.921) and who consumed low fruits (AOR = 1.435 = CI: 0.552–8.740) and vegetables (AOR = 1.202 = CI: 0.362–10.20) had a higher likelihood to use healthcare.ConclusionThe study has outlined multiple factors influencing utilisation of healthcare among poor older people under the LEAP programme in Ghana. The results, therefore, validate the importance of social and behavioural determinants of healthcare use in the Ghanaian poor older population. We highlight the need for health planners and stakeholders to consider demographic, socio-economic, health-related and lifestyle factors when formulating health policy for poor older people in Ghana.

HOSPITAL CARE USE IN OLDER ADULTS: THE ROLE OF PSYCHOLOGICAL AND SOCIAL FACTORS

Although older people’s health status is the main determinant of healthcare use, there has been little research on how psychosocial factors relate to healthcare utilization. We explored the extent to which psychological and social aspects predict the use of hospital care in an older Swedish population. 2867 people ≥60 years from the Swedish National study on Aging and Care in Kungsholmen (SNAC-K) were followed from baseline (2001-2004) for four years. We created standardized indexes of psychological well-being, and social well-being. Binomial negative mixed models were used to estimate the association of psychological and social indexes with hospital care use (i.e. unplanned hospital admissions [UHA], 30-day readmissions [30DR] and length of stay [LOS]). Individuals with a psychological well-being score above the median had less UHA (IRR 0.43, 95%CI 0.20-0.93) and lower LOS (IRR 0.18, 95% 0.06-0.58), even after full adjustment. High levels of social well-being were also protective for UHA and LOS in the minimally adjusted model, but not after adjusting by life style and personally traits. Relative to individuals with poor well-being on both indexes, those with rich psychological and poor social well-being had reduced hospital care use (IRR 0.44 95%CI 0.24-0.84; IRR 0.23, 95%CI 0.08-0.67, respectively), and even further in those with rich psychological and social well-being (IRR 0.33 95%CI 0.14-0.75; IRR 0.10, 95% 0.02-0.45, respectively). No statistically significant association was found with 30DR. Provided the importance of psychosocial aspects in predicting UHA and LOS, targeting the former could be a strategy for reducing healthcare use and, eventually, costs.

Uncontrolled diabetes and health care utilisation: A bivariate latent Markov model approach.

Although uncontrolled diabetes (UD) or poor glycaemic control is a widespread condition with potentially life-threatening consequences, there is sparse evidence of its effects on health care utilisation. We jointly model the propensities to consume health care and UD by employing an innovative bivariate latent Markov model that allows for dynamic unobserved heterogeneity, movements between latent states and the endogeneity of UD. We estimate the effects of UD on primary and secondary health care consumption using a panel dataset of rich administrative records from Spain and measure UD using a biomarker. We find that, conditional on time-varying unobservables, UD does not have a statistically significant direct effect on health care use. Furthermore, individuals appear to move across latent classes and increase their propensities to poor glycaemic control and health care use over time. Our results suggest that by ignoring time-varying unobserved heterogeneity and the endogeneity of UD, the effects of UD on health care utilisation might be overestimated and this could lead to biased findings. Our approach reveals heterogeneity in behaviour beyond standard groupings of frequent versus infrequent users of health care services. We argue that this dynamic latent Markov approach could be used more widely to model the determinants of health care use.

The Relationship Between Residential Mobility and Behavioral Health Service Use in a National Sample of Adults With Mental Health and/or Substance Abuse Problems

Objective: Individuals with mental health and/or substance abuse problems experience disparities in health care utilization. While previous studies have focused on individual and social determinants of health care use in these populations, few have investigated the role of residential stability, especially in relation to different types of service use (i.e., inpatient vs. outpatient treatment). The present study examined the relationship between residential mobility, defined as the number of residential relocations in the past year, and past-year use of four types of behavioral services (i.e., inpatient and outpatient mental health services, inpatient and outpatient substance abuse services) among a national sample of adults with mental health and/or substance abuse problems. Methods: Data were drawn from the 2011–2014 National Survey of Drug Use and Health (unweighted N = 43,411). Based on prior literature and theory, we hypothesized that individuals who frequently relocate are more likely to use inpatient services and are less likely to use outpatient services. Logistic regression analyses were conducted and all models controlled for predisposing, need, and enabling factors. Results: Compared to individuals who did not move in the past year, those who moved three or more times were more likely to report using inpatient mental health and substance abuse services. The relationship between residential mobility and outpatient mental health and substance use service use is not significant. Conclusions: The findings highlight the importance of understanding housing stability as a predictor factor of service use and access. Future research is needed to shed light on the pathway through which residential mobility affects behavioral health service utilization.

Uncontrolled Diabetes and Health Care Utilisation: A Bivariate Latent Markov Model Approach

While uncontrolled diabetes (UD) or poor glycaemic control is a widespread condition with potentially life-threatening consequences, there is sparse evidence of its effects on health care utilisation. We model the propensities to consume health care and UD by employing an innovative bivariate Latent Markov model which allows for dynamic unobserved heterogeneity, movements between latent states and the endogeneity of UD. We estimate the effects of UD on primary and secondary health care consumption using a panel dataset of rich administrative records from Spain and measure UD using a biomarker. We find that UD does not have a statistically significant effect on health care use. Furthermore, individuals appear to move across latent classes and increase their propensities to poor glycaemic control and health care use over time. Our results suggest that by ignoring time-varying unobserved heterogeneity and the endogeneity of UD, the effects of UD on health care utilisation might be overestimated and this could lead to biased findings. Our approach reveals heterogeneity in behavior beyond standard groupings of frequent versus infrequent users of health care services. We argue that this dynamic latent Markov approach could be used more widely to model the determinants of health care use.

Antenatal care use in urban areas in two European countries: Predisposing, enabling and pregnancy-related determinants in Belgium and the Netherlands.

BackgroundExamining determinants of antenatal care (ANC) is important to stimulate equitable distribution of ANC across Europe. This study (1) compares ANC utilisation in Belgium and the Netherlands and (2) identifies predisposing, enabling and pregnancy-related determinants.MethodsSecondary data analysis is performed using data from Belgium, and the Netherlands. The content and timing of care during pregnancy (CTP) tool measured ANC use. Non-parametric tests and ordinal logistic regression are performed to gain insight in the determinants of health care use.ResultsDutch women receive appropriate ANC more often than Belgian women. Multivariate analysis showed that lower education, unemployment, lower continuity of care and non-attendance of antenatal classes are associated with a lower likelihood of having more appropriate ANC.ConclusionsPredisposing and pregnancy related variables are most important to influence the content and timing of ANC, irrespective of the country women live in. Lower health literacy in socially vulnerable women might explain the predisposing determinants of health care use in both countries. Stimulating accessibility to antenatal courses or organising public education are recommendations for practice. Regarding pregnancy-related determinants, improving continuity of care can optimise ANC use in both countries.

Using health literacy profiles to tailor interventions to the needs of chronic disease patients

Health literacy (HL) is an important prerequisite for successful self-management and a determinant of health care use in chronic disease. HL is a multidimensional concept covering several functional, social and psychological dimensions. When developing interventions to improve HL it is an important question on which of these dimensions one should focus to offer care that best fits the needs of individual patients. We surveyed both the health literacy and self-management capabilities of a representative sample of 1.826 patients with chronic conditions or long term disabilities in the Netherlands. The Health Literacy Questionnaire (HLQ) assessed 9 independent HL dimensions. Using cluster analysis we looked for subgroups of patients across the 9 different HL profiles. Cluster analysis produced a 7-cluster solution, identifying stable and clinically meaningful subgroups of patients. In each subgroup patients had at least some strengths but also reported limitations on others HL dimensions. These pattern offering concrete suggestions to tailor support to the needs of patients. In addition, we found that patients in the 7 subgroups differed significantly with respect to educational level, number and type of chronic diseases, severity of disability, living situation and the level of urbanity of their residence pointing to the importance of taking context factors into account when developing interventions to improve HL skills. For example, people with chronic illnesswho were living alone require more support with getting help from their social environment and finding and understanding health information compared with people we had a partner or children. While some subgroups might have a similar total score, the actions for improving their outcomes would differ.