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The purpose of this paper is to estimate the key socio‐economic and demographic factors influencing the utilization of antenatal care services in Ghana.

The paper utilizes the most recent Ghana Demographic and Health Survey (GDHS V) data. The dependent variable is the intensity of utilization (number) of antenatal care visits. Hence, the negative binomial regression is employed to investigate the socio‐economic and demographic correlates of the intensity of antenatal care utilization in Ghana.

The study finds that wealth status, age, ownership of health insurance (especially for rural women), educational attainment, birth order, religion and administrative region of residence are significant predictors of the intensity of antenatal care services utilization. In particular, the utilization rate increases in wealth status. The authors also found significant statistical relationship between residence and antenatal care utilization. This finding reinforces the differences in health facilities between the rural and urban areas of Ghana. The authors did not, however, find evidence for proxies for financial and physical access.

The GDHS survey lacks data on the distance to the nearest health facility where ANC is sought and a variable for the price of ANC visit. Proxies had to be used to capture these variables.

The fact that ownership of health insurance in rural areas increases the number of ANC visits makes it imperative to intensify health insurance awareness and enrollment campaigns in the rural areas so as to bridge the rural‐urban gap in ANC utilization. Also, while the free maternal health care policy for expecting mothers is laudable, a minimum level of wealth is required to induce antenatal care visitations. This is because household wealth status still plays a major role even in a free maternal health regime.

A new finding of the paper is the significant effect that ownership of health insurance has on the utilization of ANC services among rural women. While generally rural women have a lower propensity to use ANC services compared to urban women, the intensity of usage of ANC services tends to increase for rural women who own health insurance.

The purpose of this paper is to identify how need for service, enabling factors and pre-disposing characteristics influences access to service. In addition, the authors seek to examine the moderating influence of pre-disposing variables on the relationship between insurance and health services utilization.

The authors utilize data from a major metropolitan hospital in the USA to test and extend the behavioral model of health care.

Results indicate that insurance and pre-disposing variables have a direct impact on type of health service utilization. However, the insurance effect is found to vary by demographic factors.

This paper is limited to secondary data. Future work can incorporate both attitudinal and behavioral measures to obtain a more comprehensive evaluation of services access.

The research offers a tactical framework for management to segment consumer markets more effectively.

Through the framework, management will have the requisite knowledge to target segmented populations based on need, insurance, and pre-disposing variables which will help improve access to services and clinical outcome.

The findings of this paper will serve as a basis for future research exploring the influence of insurance on access to services.

The purpose of this paper is twofold: first, to present patient-level utilisation patterns of hospital-based mental health services funded by private health insurers; and second, to examine the implications of the findings for planning and delivering private mental health services in Australia.

Analysing private health insurance claims data, this study compares differences in demographic and hospital utilisation characteristics of 3,209 patients from 13 private health insurance funds with claims for mental health-related hospitalisations and 233,701 patients with claims for other types of hospitalisations for the period May 2014 to April 2016. Average number of overnight admissions, length of stay and per patient insurer costs are presented for each group, along with overnight admissions vs same-day visits and repeat services within a 28-day period following hospitalisation. Challenges in analysing and interpreting insurance claims data to better understand private mental health service utilisation are discussed.

Patients with claims for mental health-related hospitalisations are more likely to be female (62.0 per cent compared to 55.8 per cent), and are significantly younger than patients with claims for other types of hospitalisations (32.6 per cent of patients aged 55 years and over compared to 57.1 per cent). Patients with claims for mental health-related hospitalisations have significantly higher levels of service utilisation than the group with claims for other types of hospitalisations with a mean length of stay per overnight admission of 15.0 days (SD=14.1), a mean of 1.3 overnight admissions annually (SD=1.2) and mean hospital costs paid by the insurer of $13,192 per patient (SD=13,457) compared to 4.6 days (SD=7.3), 0.8 admissions (SD=0.6) and $2,065 per patient (SD=4,346), respectively, for patients with claims for other types of hospitalisations. More than half of patients with claims for mental health-related hospitalisations only claim for overnight admissions. However, the findings are difficult to interpret due to the limited information collected in insurance claims data.

This study shows the challenges of understanding utilisation patterns with one data source. Analysing insurance claims reveals information on mental health-related hospitalisations but information on community-based care is lacking due to the regulated role of the private health insurance sector in Australia. For mental health conditions, and other chronic health conditions, multiple data sources need to be integrated to build a comprehensive picture of health service use as care tends to be provided in multiple settings by different medical and allied health professionals.

This study contributes in two areas: patient-level trends in hospital-based mental health service utilisation claimed on private health insurance in Australia have not been previously reported. Additionally, as the amount of data routinely collected in health care settings increases, the study findings demonstrate that it is important to assess the quality of these data sources for understanding service utilisation.

The study aims to examine the socio‐economic determinants of maternal health services utilization in Ghana.

Probit and ordered probit models are employed in this study.

The results generally indicate that most women in Ghana undertake the required visits for antenatal services and also take both doses of the tetanus toxoid vaccine as required by World Health Organization. However, the results show low levels of usage in terms of the other maternal health care services (i.e. prenatal care, delivery at a health facility, and postnatal care). There is clearly an urgent need to develop innovative strategies that will help upscale intervention especially for improvement in the use of these services by women in Ghana. The regression results reveal that utilization of maternal health services and intensity of use of antenatal services are influenced by age of mother, type of birth, education of mother, ethnicity, economic status, geographic location, residence, and religious affiliation. Obviously, this suggests that more than medical factors are responsible for the differences in the use of maternal health services by women in Ghana as well as the decision on the number of visits to undertake with respect to antenatal visits.

The findings of this study have important implications for health policy formulation targeted at improving maternal health care service utilization.

This paper uses a unique nationwide survey data derived from the 2003 Utilisation of Health Services Survey (UHSS) in Iran (n=16,935) to analyse inequities of health care utilisation.

Concentration indices are used to measure socioeconomic inequality in actual use of the five types of health services, and in unmet need for two of those types of service (any ambulatory care and hospital admissions). Horizontal inequity indices are employed to examine inequity in ambulatory and hospital care. Generalised linear model (GLM) was employed to investigate factors contributing to the phenomena of “unmet need” and “met unneed”. Moreover, a decomposition analysis of inequality is performed to determine the contributions of each factor to the inequality of “unmet need”.

Results suggest that self‐reported need for ambulatory and inpatient care is concentrated among the poor, whereas the utilisation of ambulatory and inpatient care were generally distributed proportionally. Results of horizontal inequity indices show that the distributions of any ambulatory care and hospital admissions are pro‐rich. The probability of “unmet need” for ambulatory care was higher among wealthier individuals. The decomposition analysis demonstrates that the wealth index, health insurance, and region of residence are the most important factors contributing to the concentration of “unmet need” for ambulatory health care among the poor. Results also illustrate that higher wealth quintiles used more unneeded ambulatory care than their poorer counterparts.

A special characteristic of the UHSS is that it contains questions about the need for medical services use and about actual services use. This characteristic provides an opportunity to measure the inequality of health care consumption against self‐assessed treatment needs, as well as an analysis of which observables are associated with “unmet need”. Moreover, the incidence of health care use when it is reported as not needed can be analysed with this dataset. The analysis of this phenomenon – which we refer to as “met unneed” – is another novel aspect of this work.

The paper defines the concept of inequity in health care and reviews the various approaches to identify causal relationships which lead to inequitable health outcomes. Notably, the input and process of health care delivery, the medical and social need factors, the external environment and the indirect influences channeled through ‘mediating’ factors. It further proposes a comprehensive model which integrates the combined effects of the several categories of components involved in determining inequitable outcomes between groups and individuals. While not exhaustive, the model provides a systematic attempt to define and trace inequities in health and potential causes of such, in operational terms. It can be used, therefore, for practical measurement of levels of inequity in outcomes.

It can be said that the most important function of the health system is to provide health-care services. This directly affects society’s health and justice. To the best of the authors’ knowledge, this study is the first study that has meta-analyzed the percentage of health services utilization among Iranians to answer this question “How much is the percentage of health-care services utilization in Iran?”

This study is a systematic review and meta-analysis conducted in 2020. The literature review was done by searching the databases of Google Scholar, Scopus, PubMed, Web of Science, Science Direct, SID, Magiran and Irandoc from January 2010 to August 2020. Pooled utilization percentage (UP) was estimated by STATA 15 through random-effects meta-analysis with 95% confidence interval. The I² statistic was used to investigate the possibility of heterogeneity of articles (I² ≥ 50% indicate heterogeneity). A forest plot was applied to report the results. A funnel plot exploited due to publication bias assessment.

Approximately 22% of the reviewed articles have been done at the national level of Iran. Most studies have examined the utilization of outpatient and inpatient services. Based on the random effects method, the pooled value of UP was obtained at 47.82%, (95% CI: 39.33–56.31). Also, the pooled percentage of utilization was statistically significant (Test of UP = 0, Z = 456.44, p = 0.000).

Policymakers can improve the level of utilization from health services by expanding universal coverage, expanding insurance coverage and removing direct and indirect barriers.

To the best of the authors’ knowledge, this is the first systematic review and meta-analysis on health services utilization in Iran that completely considers the utilization rate in all health services and states the practical solutions to cope with utilization deficiencies and barriers.

The purpose of this paper is to analyze patterns of health services utilization – visits to family practitioner and visits to an emergency room – by recent immigrants (those who have lived in Canada for less than ten years) and “established” immigrants (those who have resided in Canada for ten years or longer) relative to their Canadian-born counterparts.

The 2009/2010 files of the Canadian Community Health Survey were used for the analysis. A logit model was used to analyze utilization while a zero-inflated negative binomial model was used to measure the intensity of health services utilization.

Results suggest that relative to native-born Canadians, recent immigrants are more likely to visit an emergency room and are less likely to visit a family/general practitioner. The opposite effect is observed for “established” immigrants. In terms of intensity of use, native-born Canadians are more likely to use physicians’ services intensively compared with either recent or established immigrants.

The paper’s findings suggest that provincial governments in Canada will need to focus effort to ensure that recent immigrants have access to a family/general practitioner. This will be necessary given the recent primary care reform initiatives introduced across Canada that emphasize the physician as the first point-of-contact with the health system.

The reasons for and experiences during migration, as well as additional stressors in the new host country, may give rise to mental health problems and additional need for public services. The purpose of the study was to investigate factors related to service utilization among newly arrived refugee youth.

Cross-sectional data were gathered in Sweden where 37 youth aged between 19 and 23 reported on factors related to service utilization, encompassing health-care and support services in school. These factors included predisposition (demographic), need (migration status and mental wellbeing) and enablement (living situation). Service utilization was estimated using multiple logistic regression analysis.

About a fourth of the sample used psychosocial services. Use of general support was more common. Neither predisposing, need nor enabling factors were associated with the use of psychosocial or general health-related services.

Self-reported factors related to use of health-related services have previously not been investigated for refugee youth, which is important in assuring access to appropriate services for this exposed youth population.

The influx of refugees and asylum-seekers over the past decade into the European Union creates challenges to the health systems of receiving countries in the preparedness and requisite adjustments to policy addressing the new needs of the migrant population. This study aims to examine and compare policies for access to health care and the related health outcomes for refugees and asylum-seekers settling both in the UK and Germany as host countries.

The paper conducted a scoping review of academic databases and grey literature for studies within the period 2010-2017, seeking to identify evidence from current policies and service provision for refugees and asylum-seekers in Germany and the UK, distilling the best practice and clarifying gaps in knowledge, to determine implications for policy.

Analysis reveals that legal entitlements for refugees and asylum-seekers allow access to primary and secondary health care free of charge in the UK versus a more restrictive policy of access limited to acute and emergency care during the first 15 months of resettlements in Germany. In both countries, many factors hinder the access of this group to normal health care from legal status, procedural hurdles and lingual and cultural barriers. Refugees and asylum-seeker populations were reported with poor general health condition, lower rates of utilization of health services and noticeable reliance on non-governmental organizations.

This paper helps to fulfill the need for an extensive research required to help decision makers in host countries to adjust health systems towards reducing health disparities and inequalities among refugees and asylum-seekers.