Relationship between primary care visits and hospital admissions in remote Indigenous patients with diabetes: a multivariate spline regression model

A Comprehensive Systematic Review of Data Linkage Publications on Diabetes in Australia

Aims

Our study aimed to identify the common themes, knowledge gaps and to evaluate the quality of data linkage research on diabetes in Australia.

Methods

This systematic review was developed in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (the PRISMA Statement). Six biomedical databases and the Australian Population Health Research Network (PHRN) website were searched. A narrative synthesis was conducted to comprehensively identify the common themes and knowledge gaps. The guidelines for studies involving data linkage were used to appraise methodological quality of included studies.

Results

After screening and hand-searching, 118 studies were included in the final analysis. Data linkage publications confirmed negative health outcomes in people with diabetes, reported risk factors for diabetes and its complications, and found an inverse association between primary care use and hospitalization. Linked data were used to validate data sources and diabetes instruments. There were limited publications investigating healthcare expenditure and adverse drug reactions (ADRs) in people with diabetes. Regarding methodological assessment, important information about the linkage performed was under-reported in included studies.

Conclusions

In the future, more up to date data linkage research addressing costs of diabetes and its complications in a contemporary Australian setting, as well as research assessing ADRs of recently approved antidiabetic medications, are required.

The Effect of the COVID-19 Pandemic on the Social Inequalities of Health Care Use in Hungary: A Nationally Representative Cross-Sectional Study

Background: The social representation of restricted health care use during the COVID-19 pandemic has not been evaluated properly yet in Hungary. Objective: Our study aimed to quantify the effect of COVID-19 pandemic measures on general practitioner (GP) visits, specialist care, hospitalization, and cost-related prescription nonredemption (CRPNR) among adults, and to identify the social strata susceptible to the pandemic effect. Methods: This cross-sectional study was based on nationally representative data of 6611 (N_prepandemic = 5603 and N_pandemic = 1008) adults. Multivariable logistic regression models were applied to determine the sociodemographic and clinical factors influencing health care use by odds ratios (ORs) along with the corresponding 95% confidence intervals (CI). To identify the social strata susceptible to the pandemic effect, the interaction of the time of data collection with the level of education, marital status, and Roma ethnicity, was tested and described by iORs. Results: While the CRPNR did not change, the frequency of GP visits, specialist care, and hospitalization rates was remarkably reduced by 22.2%, 26.4%, and 6.7%, respectively, during the pandemic. Roma proved to be not specifically affected by the pandemic in any studied aspect, and the pandemic restructuring of health care impacted the social subgroups evenly with respect to hospital care. However, the pandemic effect was weaker among primary educated adults (iOR_{GP visits, high-school vs. primary-education} = 0.434; 95% CI 0.243–0.776, OR_{specialist visit, high-school vs. primary-education} = 0.598; 95% CI 0.364–0.985), and stronger among married adults (iOR_{GP visit, widowed vs. married} = 2.284; 95% CI 1.043–4.998, iOR_{specialist visit, widowed vs. married} = 1.915; 95% CI 1.157–3.168), on the frequency of GP visits and specialist visits. The prepandemic CRPNR inequality by the level of education was increased (iOR_{high-school vs. primary-education} = 0.236; 95% CI 0.075–0.743). Conclusion: Primary educated and widowed adults did not follow the general trend, and their prepandemic health care use was not reduced during the pandemic. This shows that although the management of pandemic health care use restrictions was implemented by not increasing social inequity, the drug availability for primary educated individuals could require more support.

Equitable resourcing of primary health care in remote communities in Australia's Northern Territory: a pilot study

BACKGROUND

Improved Primary Health Care (PHC) utilisation is central to reducing the unacceptable morbidity and mortality rates characterising populations living in remote communities. Despite poorer health, significant inequity characterises the funding of PHC services in Australia's most remote areas. This pilot study sought to ascertain what funding is required to ensure equitable access to sustainable, high quality primary health care irrespective of geographical remoteness of communities.

METHODS

High performing remote Primary Health Care (PHC) services were selected using improvement measures from the Australian Primary Care Collaboratives Program and validated by health experts. Eleven PHC services provided data relating to the types of services provided, level of service utilisation, human resources, operating and capital expenses. A further four services that provide visiting PHC to remote communities provided information on the level and cost of these services. Demographic data for service catchment areas (including estimated resident population, age, Indigenous status, English spoken at home and workforce participation) were obtained from the Australian Bureau of Statistics 2011 census. Formal statistical inference (p-values) were derived in the linear regression via the nonparametric bootstrap.

RESULTS

A direct linear relationship was observed between the total cost of resident PHC services and population, while cost per capita decreased with increasing population. Services in smaller communities had a higher number of nursing staff per 1000 residents and provided more consultations per capita than those in larger communities. The number of days of visiting services received by a community each year also increased with population. A linear regression with bootstrapped statistical inference predicted a significant regression equation where the cost of resident services per annum is equal to $1,251,893.92 + ($1698.83 x population) and the cost of resident and visiting services is equal to $1,378,870.85 + ($2600.00 x population).

CONCLUSIONS

The research findings provide empirical evidence based on real costs to guide funding for remote PHC services that takes into account the safety and equity requirements for a minimum viable service. This method can be used as a transparent, coordinated approach to ensure the equitable delivery of sustainable, high quality PHC in remote communities. This will in turn contribute to improved health outcomes.