Evaluation of RuralkidsGPS; A Novel Integrated Paediatric Care Coordination Model of Care in Rural Australia - a Mixed-Methods Study Protocol.

Introduction: The Kids Guided Personalised Service (KidsGPS) is an integrated model of care coordination for children and young people (CYP) living with medical complexity. After successful implementation in an urban setting, the model of care will be rolled-out at scale to four rural regions in New South Wales, Australia to establish RuralKidsGPS. This paper describes the approach and methods for the outcome and implementation evaluation of RuralKidsGPS. Description: The evaluation aims to assess health, economic and implementation outcomes and processes whilst identifying barriers and enablers to inform future rollouts. Measures of health service utilisation (primary outcome), child health related quality of life and parent/carer experiences will be assessed. The implementation evaluation will occur alongside the outcomes evaluation and is underpinned by the Consolidated Framework for Implementation Research and informed by validated quantitative measures and qualitative interviews with patients, families, healthcare providers and service managers. An economic analysis will determine incremental cost effectiveness ratios for the new model of care using health service utilisation data. Conclusion: RuralKidsGPS, if effective, has the potential to improve equity of access to integrated care for CYP and their families and this protocol may inform other evaluations of similar models of care delivered at scale.

Cost-effectiveness of single-inhaler triple therapy for patients with severe COPD: a systematic literature review.

INTRODUCTION: Evidence from non-randomized studies shows benefits for single-inhaler users compared with multiple-inhaler users who receive the same medication. As a result, comparative cost-effectiveness studies are required to inform treatment decisions with an increasing choice of medications and devices for chronic obstructive pulmonary disease (COPD). This study conducted a systematic literature review to evaluate the cost-effectiveness of using a single combination inhaler regimen for patients with severe COPD. This review also investigated the health impact on patients in different settings. AREAS COVERED: A systematic literature search was conducted in PubMed (MEDLINE), EMBASE, Web of Science, Scopus, Cochrane Library, EBSCO Host (including CINAHL and EconLit), Health Technology Assessment Database, National Institute for Health Research Economic Evaluation Database, Cost-Effectiveness Analysis Registry and Google Scholar. EXPERT OPINION: Based on the primary findings of 13 included studies: (1) single-inhaler triple therapy was a cost-effective treatment option for patients with severe COPD, and (2) triple therapy also resulted in better health outcomes (reduced exacerbations, life-years gained) and increased QALYs for patients with severe COPD. Nonetheless, eleven out of the thirteen selected studies were funded by the pharmaceutical industry, and none were conducted in the least developed countries. Therefore, the results should be interpreted with caution.

Determinants of life expectancy in most polluted countries: Exploring the effect of environmental degradation.

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.

Associated factors, assessment, management, and outcomes of patients who present to the emergency department for acute exacerbation of chronic obstructive pulmonary disease: A scoping review.

OBJECTIVE: The purpose of the scoping review was to examine the extant literature for factors contributing to presentations of Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) to Emergency Departments (ED). METHODS: The review followed Arksey and O'Malley, and Levac's frameworks supplemented with the PRISMA-ScR checklist. We searched Cochrane Library, CINAHL, JBI, and PubMed from January 1, 2008 to March 23, 2020 for inclusions. We included studies reporting ED presentations for AECOPD among adults (≥18 years). The investigation included: pre-hospital factors; ED-related assessment, management and referral practices; holistic management (i.e., interdisciplinary); patient outcomes, admission/discharge status, and readmission. RESULTS: Forty-four studies were included. Environmental factors (e.g., air pollution, seasonal change); social determinants (e.g., poor literacy, ethnicity); and physical health (e.g., comorbidities, obesity, poor exercise capacity) contributed to ED presentation/re-presentation, and admission to hospital. Cigarette smoking was associated with hospital admission. Mortality was associated with longer-term oxygen therapy, poor exercise capacity, age, and loss of consciousness. Compliance with clinical guideline recommendations were generally low or mixed. Further, there was a lack of appropriate referral practices upon discharge. CONCLUSIONS: While there is considerable literature on factors contributing to AECOPD admission more research is required that investigates the impact that inter-professional care models can have on the discharge planning cycles for patients with COPD who are regular presenters to an ED.

Does distance to hospital affect emergency department presentations and hospital length of stay among chronic obstructive pulmonary disease patients?

BACKGROUND: The primary goal of chronic obstructive pulmonary disease (COPD) management is to optimise a patient's functional status and quality of life. By encouraging effective patient self-management within primary healthcare, unplanned and potentially avoidable COPD admissions to the emergency department (ED) can be avoided. AIM: The aim of this study is to examine whether distance to hospital influences the rate of ED presentation, hospital admission and hospital length of stay for COPD patients. METHODS: The 2016 to 2018 resulted in a total of 5253 patient presentations with a primary medical diagnosis code of J44 (COPD). These were at the main hospitals of three Queensland Hospital and Health Services: Toowoomba, Ipswich and Gold Coast. To examine the variations in patient characteristics based on distance, a one-way ANOVA (analysis of variance) test was conducted. The Kruskal-Wallis test indicated that there were group differences. RESULTS: This study identified significant variation in COPD-related hospital length of stay and distance to hospital among COPD patients within three hospitals in South East Queensland, Australia. These results confirm that distance plays an important role in determining duration of hospital stay (in number of days) among COPD patients, with clear evidence of the distance 'decay phenomenon'. It appears from the findings of the current study that distance to the hospital is not associated with the greater likelihood of ED presentation but may influence length of stay. CONCLUSIONS: Several distance-specific studies have concluded that lower utilisation of hospital care is associated with distance to hospital.

Hospitalisation costs associated with heart failure with preserved ejection fraction (HFpEF): a systematic review.

Heart failure with preserved ejection fraction (HFpEF) is problematic to treat, with guidelines for HFpEF management concentrated on treating prevalent comorbidities. The aim of this study is to conduct a systematic review of the economic burden of hospitalisation for HFpEF. We conducted a systematic literature search from 2001, when HFpEF was first identified as an isolated diagnosis, up to July 1, 2020. Databases searched include PubMed, Medline, EMBASE, EBSCO, National Health Service Economic Evaluation and the National Bureau of Economic Research. The primary outcome measure was hospitalisation costs related to HFpEF. A comprehensive search of the literature produced a total of 243 possible studies. A total of nine studies, six from the U.S., met inclusion criteria and were included in this review. All results are presented in United States Dollars (US$) for the financial year 2019. Costs of index (the first) hospitalisation ranged from mean US$8340 up to US$11,366 per admission and increased up to US$31,493 for those with comorbidities. Two studies reported 1-year costs, and these were US$27,174 and US$26,343, respectively. Hospitalisation accounts for approximately 80% of total costs of HFpEF treatment. The results of this systematic review reveal that published costs of HFpEF hospitalisation are limited to nine studies from a comprehensive database search. The costs of an initial HF hospitalisation are significant, and these costs increase when a person with HFpEF presents with comorbidities or other complications.

Obesity and the risk of developing chronic diseases in middle-aged and older adults: Findings from an Australian longitudinal population survey, 2009-2017.

BACKGROUND: Overweight and obesity impose a significant health burden in Australia, predominantly the middle-aged and older adults. Studies of the association between obesity and chronic diseases are primarily based on cross-sectional data, which is insufficient to deduce a temporal relationship. Using nationally representative panel data, this study aims to investigate whether obesity is a significant risk factor for type 2 diabetes, heart diseases, asthma, arthritis, and depression in Australian middle-aged and older adults. METHODS: Longitudinal data comprising three waves (waves 9, 13 and 17) of the Household, Income and Labour Dynamics in Australia (HILDA) survey were used in this study. This study fitted longitudinal random-effect logistic regression models to estimate the between-person differences in the association between obesity and chronic diseases. RESULTS: The findings indicated that obesity was associated with a higher prevalence of chronic diseases among Australian middle-aged and older adults. Obese adults (Body Mass Index [BMI] ≥ 30) were at 12.76, 2.05, 1.97, 2.25, and 1.96, times of higher risks of having type 2 diabetes (OR: 12.76, CI 95%: 8.88-18.36), heart disease (OR: 2.05, CI 95%: 1.54-2.74), asthma (OR: 1.97, CI 95%: 1.49-2.62), arthritis (OR: 2.25, 95% CI: 1.90-2.68) and depression (OR: 1.96, CI 95%: 1.56-2.48), respectively, compared with healthy weight counterparts. However, the study did not find any evidence of a statistically significant association between obesity and cancer. Besides, gender stratified regression results showed that obesity is associated with a higher likelihood of asthma (OR: 2.64, 95% CI: 1.84-3.80) among female adults, but not in the case of male adults. CONCLUSION: Excessive weight is strongly associated with a higher incidence of chronic disease in Australian middle-aged and older adults. This finding has clear public health implications. Health promotion programs and strategies would be helpful to meet the challenge of excessive weight gain and thus contribute to the prevention of chronic diseases.

Age and gender differences in the relationship between obesity and disability with self-perceived employment discrimination: Results from a retrospective study of an Australian national sample.

BACKGROUND: Health status is a crucial determinant of an individuals' labour market outcomes. The present study investigates the association between obesity and disability with perceived employment discrimination within Australia. METHODS: A total of 17,174 person-year observations from the 11,079 respondents were analysed using four waves of data from the Household, Income, and Labour Dynamics in Australia (HILDA) survey. The primary outcome examined was employment discrimination, using obesity and disability as the main exposure variables. The longitudinal random-effects regression technique was applied to investigate the between-person differences in employment discrimination associated with obesity and disability. RESULTS: The findings suggest that more than one in ten (12.68 %) Australians experienced employment discrimination. The odds of being discriminated against while applying for a job were 1.56 times (aOR: 1.56, 95 % CI: 1.15-2.11) higher for obese than their healthy weight counterparts in youngest women. Adults with a disability had 1.89 times (aOR: 1.89, 95 % CI: 1.65-2.17) higher odds of being discriminated against than peers without disability. CONCLUSION: The results provide evidence that obesity and disability contribute to employment discrimination in Australia. The findings can assist government and related agencies to consider the adequacy of existing discrimination legislation and help organisations to develop appropriate policies to address discrimination against obese and disabled people in their workplaces.

Measuring the intensive care experience: A cross-sectional survey of patient and family experiences of critical care.

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.

Estimating the frequency and cost of emergency department presentations and hospitalisation of chronic obstructive pulmonary disease patients: A retrospective analysis from regional Queensland.

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 χ2 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.

Selection of private or public hospital care: examining the care-seeking behaviour of patients with private health insurance.

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.

Gender-specific differences in care-seeking behaviour among lung cancer patients: a systematic review.

BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.

Health expenditure and gross domestic product: causality analysis by income level.

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.

Predictors of health care use in Australian cancer patients.

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.

Development of a richer measure of health outcomes incorporating the impacts of income inequality, ethnic diversity, and ICT development on health.

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.

Health expenditure, child and maternal mortality nexus: a comparative global analysis.

BACKGROUND: This paper provides empirical evidence on how the relationship between health expenditure and health outcomes varies across countries at different income levels. METHOD: Heterogeneity and cross-section dependence were controlled for in the panel data which consist of 161 countries over the period 1995-2014. Infant, under-five and maternal mortality along with life expectancy at birth were selected as health outcome measures. Cross-sectional augmented IPS unit root, panel autoregressive distributed lag, Dumitrescu-Hurlin and Toda-Yamamoto approach to Granger causality tests were used to investigate the relationship across four income groups. An impulse response function modelled the impact on health outcomes of negative shocks to health expenditure. RESULTS: The results indicate that the health expenditure and health outcome link is stronger for low-income compared to high-income countries. Moreover, rising health expenditure can reduce child mortality but has an insignificant relationship with maternal mortality at all income levels. Lower-income countries are more at risk of adverse impact on health because of negative shocks to health expenditure. Variations in child mortality are better explained by rising health expenditure than maternal mortality. However, the estimated results showed dissimilarity when different assumptions and methods were used. CONCLUSION: The influence of health expenditure on health outcome varies significantly across different income levels except for maternal health. Policymakers should recognize that increasing spending has a minute potential to improve maternal health. Lastly, the results vary significantly due to income level, choice of assumptions (homogeneity, cross-section independence) and estimation techniques used. Therefore, findings of the cross-country panel studies should be interpreted with cautions.