Increasing gaps in health inequalities related to non-communicable diseases in South Australia; implications towards behavioural risk factor surveillance systems to provide evidence for action

Trends in Socioeconomic Inequalities in the Prevalence of Chronic Non-Communicable Diseases in China: Evidence from Shaanxi Province During 2003-2013

Background: The link between chronic non-communicable diseases (NCDs) and poverty in underdeveloped countries is debated. This study aims to examine socioeconomic inequalities related to NCDs and assess the contributing factors to these disparities. Methods: The study utilized data from the National Health Services Survey in Shaanxi Province for 2003, 2008, and 2013, having 71,766 respondents. The concentration index (CI) was employed to rigorously quantify the degree of socioeconomic inequality in the prevalence of non-communicable diseases (NCDs). The CI decomposition identified the contribution of each variable, while the horizontal inequity (HI) index was calculated annually to assess changes in inequality. Additionally, a Probit model was employed to examine the significant determinants contributing to the occurrence of NCDs. Results: The results show a significant increase in NCD prevalence with age, particularly for individuals aged 60 and above, who experienced a 286.55% rise from 2003 to 2013. Higher education levels are associated with decreased NCD prevalence, as evidenced by a 74.13% reduction for those with high school education or above. Additionally, wealthier individuals had a 15.31% lower prevalence of NCDs, indicating that higher socioeconomic status correlates with a reduced likelihood of chronic diseases. Conclusions: The study finds that NCD prevalence significantly increases with age, while higher education levels and greater wealth are associated with reduced prevalence. These findings highlight the need to target older populations and lower socioeconomic groups for effective NCD prevention and management. Policies should focus on improving educational opportunities and socioeconomic conditions to reduce the burden of NCDs, particularly among older and economically disadvantaged groups.

Specialist care visits outside the hospital by South Australian older adults

BACKGROUND

Limited access to specialist medical services is a major barrier to healthcare in rural areas. We compared rural-urban specialist doctor consultations outside hospital by older adults (≥ 60 years) across South Australia.

METHODS

Cross-sectional data were available from the South Australia's Department of Health. The Modified Monash Model (MM1-7) of remoteness was used to categorize data into rural (MM 3-4), remote (MM5-7), and urban (MM1-MM2) of participants in urban and non-urban South Australia. The analysis was conducted on older adults (n = 20,522), self-reporting chronic physical and common mental health conditions.

RESULTS

Specialist doctor consultation in the past 4 weeks was 14.6% in our sample. In multivariable analysis, increasing age (odds ratio 1.3, 95% CI: 1.2-1.4), higher education (odds ratio 1.5, 95% CI: 1.3-1.9), physical health conditions [diabetes (odds ratio 1.2, 95% CI: 1.1-1.3); cancer (odds ratio1.8, 95% CI: 1.7-2.0); heart disease (odds ratio 1.9, 95% CI: 1.6-2.1)], and common mental disorders [depression (odds ratio 1.3, 95% CI: 1.1-1.5); anxiety (odds ratio 1.4, 95% CI: 1.1-1.6)] were associated with higher specialist care use. Specialist care use among rural (odds ratio 0.8, 95% CI: 0.6-0.9), and remote (odds ratio 0.8, 95% CI: 0.7-0.9) older people was significantly lower than their urban counterparts after controlling for age, education, and chronic disease.

CONCLUSION

Our findings demonstrate a disparity in the use of out of hospital specialist medical services between urban and non-urban areas.

Impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life of Australians: a population-based longitudinal data analysis

Background

Health risk factors, including smoking, excessive alcohol consumption, overweight, obesity, and insufficient physical activity, are major contributors to many poor health conditions. This study aimed to assess the impact of health risk factors on healthcare resource utilization, work-related outcomes and health-related quality of life (HRQoL) in Australia.

Methods

We used two waves of the nationally representative Household, Income, and Labor Dynamics in Australia (HILDA) Survey from 2013 and 2017 for the analysis. Healthcare resource utilization included outpatient visits, hospitalisations, and prescribed medication use. Work-related outcomes were assessed through employment status and sick leave. HRQoL was assessed using the SF-6D scores. Generalized estimating equation (GEE) with logit or log link function and random-effects regression models were used to analyse the longitudinal data on the relationship between health risk factors and the outcomes. The models were adjusted for age, sex, marital status, education background, employment status, equilibrium household income, residential area, country of birth, indigenous status, and socio-economic status.

Results

After adjusting for all other health risk factors covariates, physical inactivity had the greatest impact on healthcare resource utilization, work-related outcomes, and HRQoL. Physical inactivity increased the likelihood of outpatient visits (AOR = 1.60, 95% CI = 1.45, 1.76 p < 0.001), hospitalization (AOR = 1.83, 95% CI = 1.66-2.01, p < 0.001), and the probability of taking sick leave (AOR = 1.31, 95% CI = 1.21-1.41, p < 0.001), and decreased the odds of having an above population median HRQoL (AOR = 0.48, 95% CI = 0.45-0.51, p < 0.001) after adjusting for all other health risk factors and covariates. Obesity had the greatest impact on medication use (AOR = 2.02, 95% CI = 1.97-2.29, p < 0.001) after adjusting for all other health risk factors and covariates.

Conclusion

Our study contributed to the growing body of literature on the relative impact of health risk factors for healthcare resource utilization, work-related outcomes and HRQoL. Our results suggested that public health interventions aim at improving these risk factors, particularly physical inactivity and obesity, can offer substantial benefits, not only for healthcare resource utilization but also for productivity.

Bridging geographical disparities across 368 townships with healthcare system and socioeconomic factors in Taiwan

A universal health insurance program such as the National Health Insurance in Taiwan offers a wide coverage and increased access to healthcare services. Despite its ongoing efforts to enhance healthcare accessibility, differences in health for people living in urban and resource-deprived areas remain substantial. To investigate the longitudinal impact of the healthcare system and other potential structural drivers such as education and economic development on geographical disparities in health, we designed a panel study with longitudinal open secondary data, covering all 368 townships in Taiwan between 2013 and 2017. Our findings indicated higher mortality rates in the mountainous and rural areas near the east and south regions of the island in both years. Multivariate analyses showed an increase in the density of primary care physicians (PCP) was associated with lower all-cause mortality (β = - 0.72, p < 0.0001) and cardiovascular disease mortality (β = - 0.41, p < 0.0001). Effect of PCP is evident, but merely focusing on access to healthcare is still not enough. Additional measures are warranted to address the health disparities existing between urban and underprivileged areas.

Reviving health promotion in South Australia: The role of ideas, actors and institutional forces

Globally health promotion has remained marginalized while biomedical health systems have maintained and even increased their dominance. During 2019–2021 we drew on the local and historical knowledge of actors from multiple sectors through semi-structured interviews and focus groups, to assess the implications of the withdrawal of the state from health promotion in a suburban region of South Australia. Institutional theory enabled in-depth analysis of the ideas, actors, and institutional forces at play in the institutional field, and how these elements come together to maintain the dominance of medicine. We found that the ideas, actors and institutional forces supporting health promotion in the study region have weakened and fragmented. This has happened as biomedicine has increased its dominance in the region’s health system, mirroring international trends. The results point to a withdrawal of state and federal governments from health promotion, which has led to severe gaps in leadership and governance, and locally, to a decline in capacity and resources. The state health department reallocated resources to focus on individual behavioural change rather than more structural factors affecting health. While some activities aimed at the social determinants of health or community development strategies remained, these had minimal institutional support. The establishment of a state government wellbeing agency in 2020 prompted an exploration to determine whether the agency and the international wellbeing movement presents an opportunity for a revival of more comprehensive health promotion.

Psychological distress, multimorbidity and health services among older adults in rural South Australia

OBJECTIVE

Psychological distress may relate to higher health services use. However, data on psychological distress and health services use among rural older adults are limited. This study investigates psychological distress in older adults (aged ≥60) and evaluates the relationship between psychological distress, multimorbidity and health services utilization.

DESIGN

A cross-sectional design was adopted using data on older adults (≥60) (n = 5920) from the South Australia's 2013-2017 population health survey. The Modified Monash Model MM2-7 was used to designate rural areas. The dataset provides information on reported physical health conditions, psychological distress, and patterns of health services use. The Kessler Psychological Distress Scale (K10) was used to compute scores for reported mental health disorders in this population.

RESULTS

The mean (SD) age of the study participants was 72.1 (8.1) years. Women constituted 58.8% of the sample. The mean (SD) score for psychological distress was 12.5 (3.6). One-fourth (33.7%) report one-chronic condition, 20.4% reported 2 chronic conditions and 13% had more than 3 chronic conditions. High psychological distress was associated with female gender (χ² = 14.4, p < 0.001), <80 years (χ² = 11.7, p = 0.019), lower education (χ² = 10.9, p = 0.027). Similarly, multimorbidity was associated with female gender (χ² = 51.1, p < 001), increasing age (χ² = 173.6, p < 0.001) and lower education (χ² = 28.8 p < 0.001). Psychological distress and multimorbidity were independently associated with health service use. High psychological distress was associated with general practitioner (GP) visit (odds ratio 3.6 (95% CI 2.6-5.1), p < 0.001), emergency department (ED) visit (odds ratio 2.5 (95% CI 1.2-5.0), p < 0.001) and hospital admission (odds ratio 2.3 (95% CI 1.3-4.3), p < 0.001). Multimorbidity was associated with general practitioner (GP) visit (odds ratio 6.8 (95% CI 5.6-8.3), p < 0.001), emergency department (ED) visit (odds ratio 2.5 (95% CI 1.4-4.3), p < 0.001) and hospital admission (odds ratio 3.1 (95% CI 1.9-5.1), p < 0.001). Model included age, gender, education, number of chronic condition and psychological distress.

CONCLUSION/IMPLICATION

Psychological distress and multimorbidity were independently associated with health services use. Thus, psychological distress, particularly in the presence of multimorbidity, presents an opportunity for intervention by clinicians that may reduce the demand on rural health services.

Knowledge of Emerging and Reemerging Infectious Diseases in the Public of Guangzhou, Southern China

Objective

The objective of this study is to get the overall picture about the knowledge of emerging and reemerging infectious diseases in public in Guangzhou and provide a scientific basis for developing health information strategies.

Methods

We used the structured questionnaire to interview 1,000 Guangzhou residents by health enquiry hotline. Descriptive analysis was presented to evaluate the knowledge of the participants. Multiple logistic regression model was performed to determine the influence factors for knowledge of emerging and reemerging infectious diseases

Results

A total of 801 individuals completed the survey. About one-third had heard of Middle East respiratory syndrome (MERS) and Zika, whereas Ebola and plague about 50%. A total of 32.08% participants had never heard of any of the four diseases. Only 2.08% knew the sexual transmission of Zika and 90.17% had no idea about the epidemic region of plague. No more than 15% knew they should check their health status after returning from the epidemic region. Education level and income were the key factors that influenced knowledge rate.

Conclusions

The low-level knowledge called for the improvement in health information to the public, especially those with low level of education and income. Effective and precise health information was urged to carry out to improve the prevention for the emerging and reemerging infectious diseases.

How can health promotion contribute to pulling humans back from the brink of disaster?

Health promotion has evolved over the last decades from a primary focus on behaviour change to establishing an ambitious goal of creating healthy, fair and sustainable environments in a manner which realises the rights of all people to health and well-being while protecting the health of our planet and its ecosystems. This paper argues that in order to contribute to this ambitious goal, health promotion must address three key tasks. The first is the need to take planetary health more seriously and move away from reductionist thinking to an approach that sees the planet as a complex system and values more harmony with nature, protects biodiversity and prevents global warming. The second task is to advocate and support governments to govern for health. The key to doing this is putting health and equity before profit, creating healthy urban environments, encouraging participatory decision-making, advocating for healthy economic models and assessing the ways in which corporate determinants of health operate. The third task is to ensure that moves to professionalise health promotion do not come at the expense of health promotion advocacy to powerful people and organisations. Health promotion is well placed to support civil society movements arguing for social and economic change that will benefit health such as the Black Lives Matter and environment movements.

The Prevalence of Chronic Physical and Mental Health Conditions in Older Adults Across South Australia and Their Independent Effects on General Practitioner Visits

Rural older adults (≥60), compared to their urban counterparts, are identified as higher users of general practitioner (GP) services. However, whether this pattern of health seeking is influenced more so by physical or mental conditions is unclear. We explore the independent effect of chronic physical and mental health conditions on GP use in Australia. Datasets on population health was available from the South Australia's Department of health in 2013-2017 (n = 20,522). We examined prevalence of common physical and mental conditions and GP use by the Modified Monash Model of remoteness. Physical and mental health burden was similar across South Australia. General practitioner visits with suicidal ideation for rural and remote locations were 4.7 (95% CI, 1.6-13.6) and 4.8 (95% CI, 1.9-11.7), respectively, compared to urban Adelaide 1.5 (95% CI, 1.0-2.3). While there is equal burden of mental health across South Australia, access to mental health resources for nonurban Australians remains a significant challenge.