Search

Background Better understanding of the determinants of national life expectancy is crucial for economic development, as a healthy nation is a prerequisite for a wealthy nation. Many socioeconomic, nutritional, lifestyle, genetic and environmental factors can influence a nation’s health and longevity. Environmental degradation is one of the critical determinants of life expectancy, which is still under-researched, as the literature suggests. Objectives This study aims to investigate the determinants of life expectancy in 31 world’s most polluted countries with particular attention on environmental degradation using the World Bank annual data and British Petroleum data over the period of 18 years (2000–2017). Methods The empirical investigation is based on the model of Preston Curve, where panel corrected standard errors (PCSE) and feasible general least square (FGLS) estimates are employed to explore the long-run effects. Pairwise Granger causality test is also used to have short-run causality among the variables of interest, taking into account the cross-sectional dependence test and other essential diagnostic tests. Results The results confirm the existence of the Preston Curve, implying the positive effect of economic growth on life expectancy. Environmental degradation is found as a threat while health expenditure, clean water and improved sanitation affect the life expectancy positively in the sample countries. The causality test results reveal one-way causality from carbon emissions to life expectancy and bidirectional causalities between drinking water and life expectancy and sanitation and life expectancy. Conclusion Our results reveal that environmental degradation is a threat to having improved life expectancy in our sample countries. Based on the results of this study, we recommend that: (1) policy marker of these countries should adopt policies that will reduce carbon emissions and thus will improve public health and productivity; (2) environment-friendly technologies and resources, such as renewable energy, should be used in the production process; (3) healthcare expenditure on a national budget should be increased; and (4) clean drinking water and basic sanitation facilities must be ensured for all people.

Empirical studies have established that financial development is an essential element of economic growth. It has also been established that rising national income has a positive impact on healthcare expenditure. Therefore, an empirical question is whether financial development increases healthcare expenditure for countries at all income levels. This paper examines the relationship between the level of financial development and healthcare expenditure from a global perspective for countries at different income levels for the period of 1995–2014. Common correlated effects mean group approach was employed to account for unobserved heterogeneity and cross-section dependence in the large panel dataset of 159 countries. Additionally, mean group and fixed-effects estimation approaches were used to measure the robustness of the relationship. The association was tested at different levels by sub-grouping countries based on their income. The results indicate that the relationship between financial development and health expenditure is positive and significant. However, the results fluctuate considerably across income levels. The association becomes trivial when income levels rise, with low-income countries showing stronger correlations. Rising incomes and public health expenditure, foster increasing expenditure on health more in countries with a lower level of corruption. Lastly, the statistical outcomes observed are subject to the choice of estimation techniques. Development in the financial sector influences per capita health expenditure positively, however, the association is more prominent for lower-income countries. Policies are proposed to direct the gains from financial development towards healthcare to maximize society's welfare.

In the literature, men are often described as unwilling to use healthcare services, whereas women as frequent users. We conducted a systematic literature review to examine the gender differences in healthcare utilisation of lung cancer patients. Our aim was to synthesise evidence to assess whether men and women utilise cancer diagnosis and treatments differently. The databases of PubMed, Scopus, Web of Science, EBSCO Host, Ovid nursing, and Cochrane was systematically searched. We used pre-defined eligibility criteria to identify peer-reviewed published literature that reported healthcare use of lung cancer patients. Two reviewers independently screened the title, abstract, full texts and retrieved relevant data. A total of 42 studies met the eligibility criteria from 1356 potential studies. In these studies, the most commonly measured healthcare utilisation is surgery (n = 19), followed by chemotherapy (n = 13). All the studies were from developed countries and had a higher percentage of male participants. Substantial evidence of heterogeneity in the use of treatments by gender were found. In relation to diagnosis interval and stage of cancer diagnosis, it was found that women had longer diagnostic intervals. Nonetheless, women tend to get diagnosed at an earlier stage. Furthermore, women had a higher probability of using inpatient cancer-care services and surgical treatments. Conversely, men had greater risks of readmission after surgery and longer length of stay. Lastly, there were no significant gender differences in the likelihood of receiving chemotherapy and radiation therapy. This study synthesised evidence of disparities in the use of lung cancer treatments based on gender in developed countries, with no evidence available from least-developed and developing countries. Further studies are required to understand this gender-specific inequality and to design interventions to improve the survival rate of lung cancer patients.

The empirical findings on the relationship between gross domestic product (GDP) and health expenditure are diverse. The influence of income levels on this causal relationship is unclear. This study examines if the direction of causality and income elasticity of health expenditure varies with income level. It uses the 1995-2014 panel data of 161 countries divided into four income groups. Unit root, cointegration and causality tests were employed to examine the relationship between GDP and health expenditure. Impulse-response functions and forecast-error variance decomposition tests were conducted to measure the responsiveness of health expenditure to changes in GDP. Finally, the common correlated effects mean group method was used to examine the income elasticity of health expenditure. Findings show that no long-term cointegration exists, and the growth in health expenditure and GDP across income levels has a different causal relationship when cross-sectional dependence in the panel is accounted for. About 43% of the variation in global health expenditure growth can be explained by economic growth. Income shocks affect health expenditure of high-income countries more than lower-income countries. Lastly, the income elasticity of health expenditure is less than one for all income levels. Therefore, healthcare is a necessity. In comparison with markets, governments have greater obligation to provide essential health care services. Such results have noticeable policy implications, especially for low-income countries where GDP growth does not cause increased health expenditure.

Objective: The purpose of this study is to measure health care utilization in Australian cancer patients based on their demographic, geographic and socioeconomic backgrounds. Method: A total of 13,609 participants (aged 15 and over) from 7,230 households were interviewed as part of Wave 13 of the national Household, Income and Labour Dynamics in Australia (HILDA) survey. Five hundred and seventeen participants indicated a current cancer diagnosis with 90% of those receiving active treatment at the time of interview. Independent sample t-tests, Pearson Chi-sq tests, Kruskal‒Wallis H test, binary logistic regression and a zero-inflated Poisson regression were used to examine inequality in health care use. Results: Demographic and sociocultural factors such as advancing age, gender, low income, low education status, rurality, no private health insurance, increased psychological distress and less access to specialist care are associated with lower health care utilization among cancer patients. However, models of care such as general practitioner-led cancer care is preferable in younger individuals with cancer, while accessing specialist care is associated with lower rates of hospitalization and higher levels of psychological distress increases hospital length of stay. Conclusions: The findings of lower health care utilization by those cancer patients with characteristics of disadvantage have implications for policy development and intervention design. Broadly, policies targeting structural social inequities are likely to increase health care utilization among the most affected/disadvantaged populations. Further investigation is needed to identify potential links between health care utilization and cancer outcomes as a step toward targeted interventions for improving outcomes in the adversely affected groups.

This paper examined the impact of the inflow of new immigrants on public and out-of-pocket health expenditure in 33 Organisation for Economic Cooperation and Developments (OECD) countries over the period of 2000–2015. Dynamic panel data analysis is carried out using the one-step system ‘Generalised Method of Moments’ and the instrumental variable (IV) estimation approach whilst controlling for potential endogeneity. The inflow of new immigrants is modelled as a determinant of health expenditure. The results are robust to both static and dynamic models. The results show that an increasing inflow of immigrants is significantly related to out-of-pocket, but, surprisingly, not with public health expenditure. Moreover, the findings are similar for countries that primarily have publicly funded healthcare systems or those more dominated by private financing of healthcare. It can be concluded that new immigrants do not seek publicly funded healthcare at least at the initial years of their relocation and that their arrival does not trigger a significant rise in public healthcare expenditure in the OECD countries.

Aims and objectives To report patient and family intensive care experiences using the Measuring the Intensive Care Experience (MICE) tool across two intensive care units (ICU). Background The patient and family experience of care is an important indicator for quality improvement of ICUs, yet few studies evaluate both patient and family experiences in relation to overall care quality as well as specifically measuring quality of medical care, nursing care and organisational care as well as overall experience of the quality of intensive care. Design A cross-sectional survey. Methods A 23 item survey was administered to ICU patients and their family members across two ICUs, a regional 189-bed hospital and a metropolitan 227-bed hospital in Queensland, Australia. The response rate was 272 of 394 ICU patients (36.4%). STROBE guidelines were used in reporting this study. Results Findings indicate a highly positive overall experience of ICU care among patients and families. However, patients reported areas of unmet needs following their stay in ICU broadly related to (1) symptom management, education and information support, and (2) improving the incorporation of patient and family care ICU-related shared decision-making. Conclusions Supportive interventions are needed that target improve symptom management and inform and education ICU patients. Relevance to clinical practice The MICE survey facilitated the identification of a range of areas requiring quality improvement. Improving the integration of patients and families into shared decision-making and support is a key aspect for quality improvement.

Objective: Chronic obstructive pulmonary disease (COPD) patients commonly have frequent visits to the ED. Consequently, COPD has a significant effect on total healthcare expenditure. The objective was to measure the frequency of ED presentation and hospitalisation among COPD patients and to estimate the costs resulting from such care utilisation. Methods: This was a causal-comparative non-experimental research design conducted in three regional hospitals between 2016 and 2018. Two different original data sets were used: an automated hospital data set and an audit of patient charts. Secondary cost data were also used. Data were analysed using Pearson's χ test to estimate the relationship between several patient and treatment-related characteristics. Results: There were 5253 patient presentations at ED and hospital length of stay data were available for 5079 COPD patients. The total cost of hospital stays was $42.14 million for the time period and the mean average cost was $8297 for ED patients who were admitted to hospital. Factors significantly associated with hospital length of stay were age and time spent in the ED. Noticeably, one (51.7%) in two COPD patients were discharged from ED (all destinations) within 4 h irrespective of their triage category. Conclusions: COPD patient presentation to ED and admission to hospital is an expensive method of providing healthcare to manage this chronic condition. Clinical practitioners and policy makers need to develop and implement optimal integrated care management systems to reduce this hospitalisation rate and reduce the societal costs associated with COPD patient management.

Background This study aimed to examine the healthcare-seeking (hospital, primary and preventive care) and healthcare utilisation behaviour of patients with private health insurance (PHI) in Australia. It also aimed to examine the socioeconomic, demographic and lifestyle factors that influence the choice of hospital care in Australia. Method A logistic regression model with repeated measure t-test and Pearson’s Chi-square test were used to identify the factors that affect the choice of care. Data from waves 9 (2009) and 13 (2013) of the nationally-representative Household, Income and Labour Dynamics in Australia (HILDA) survey were used in the analysis. Results Patients with PHI had a higher number of hospital nights’ stay despite having a lower number of hospital admissions than those without private cover. Significant disparities were identified in preventive and specialist care use between patients with cover and without cover. No significant variations were observed in healthcare utilisation for PHI patients before and after dropping PHI. One in four patients chose to use public hospitals despite holding PHI cover. Moreover, those insured and from lower socioeconomic backgrounds and those who were younger and without long-term health conditions showed a higher probability of selecting public rather than private care. Conclusions It is evident that PHI cover encourages people to use private care. However, a considerable number of PHI patients are using public care, even though eligible for private care may indicate consumer information asymmetry.

Background In the literature, measuring health outcomes usually entails examining one dependent variable using cross-sectional data. Using a combination of mortality and morbidity variables, this study developed a new, richer measure of health outcome. Using the health outcome index, this study investigated the impacts of income inequality, levels of ethnic diversity and information and communication technology (ICT) development on health using panel data. Methods Partial least squares regression based on a structural equation model is used to construct a health outcome index for 30 OECD countries over the period of 2004 to 2015 using SmartPLS software. Then, panel corrected standard errors estimation and pooled ordinary least square regression with Driscoll and Kraay standard errors approaches were used to investigate the key determinants of health outcomes. Both methods are efficient when the panel data is heteroscedastic and the errors are cross-sectional dependent. Results Income inequality, level of ethnic diversity and development in ICT access and use have an adverse effect on health outcomes, however, development in ICT skills has a significant positive impact. Moreover, OECD countries with a higher percentage of publicly funded healthcare showed better public health compared to countries where the percentage is smaller. Finally, rising incomes, development of technologies and tertiary education are key determinants for improving health outcomes. Conclusions The results indicate that countries with higher levels of income inequality and more ethnically diverse populations have lower levels of health outcomes. Policymakers also need to recognise the adverse effect of ICT use on public health and the benefits of public healthcare expenditure. Electronic supplementary material The online version of this article (10.1186/s12992-018-0385-2) contains supplementary material, which is available to authorized users.