Inequity in physician visits: the case of the unregulated fee market in Australia

The relationship between region of residence, socio-demographic factors, and healthcare utilization among Saudi citizens: insights from the 2013 Saudi Health Interview Survey

Background

There is a dearth of research on the nature and extent of variation in patterns of health service use in Saudi Arabia. This is an important gap in knowledge, given ongoing efforts to improve service provision and delivery. This study examined the relationship between the region of residence and socio-demographic factors and patterns of health service use in Saudi Arabia.

Methods

Data were taken from the 2013 Saudi Health Interview Survey (SHIS), a national multistage survey of individuals aged 15 years and above in Saudi Arabia. Data included measures of service use, respondent health, socio-demographic characteristics, and region or area of residence. Descriptive statistics, Chi-square tests, and multivariable logistic regression analyses were used to describe the data and examine the likelihood of a respondent visiting a doctor or healthcare professional in the preceding 12 months. In addition, the analyses examined the role of health and socio-demographic characteristics within selected regions.

Results

The increased likelihood of using health services in terms of visiting a doctor or healthcare professional was related to poor health status, being female, married, having a low income, and residing in particular regions. Respondents aged <65 and who lived furthest from service providers were less likely to visit a doctor or other health professionals (p < 0.01). Residents who lived in Riyadh, Al Medina, Baha, or Aseer demonstrated a higher likelihood of service utilization compared to respondents residing in other regions (p < 0.05). In sub-group analyses, there was variation between regions with respect to socio-demographic status and distance to service.

Conclusion

Region of residence and income level, in particular, may help to explain the likelihood of primary care use in Saudi Arabia and the distinct patterns of service use in relation to regional and socio-demographic characteristics. The relationship between regional variation in service utilization and the socio-demographic characteristics of respondents may reflect differences with respect to population need, enabling, and predisposing factors as represented in Anderson's Behavioral Model (ABM) of health service use. The findings from this study underscore the importance of considering region or area of residence when seeking to understand the utilization of health services, particularly primary care services.

Health care service use by people diagnosed with invasive melanoma in Queensland: a benefit incidence analysis

OBJECTIVE

To quantify differences, by residential remoteness and socio-economic status, in health care service use by people diagnosed with invasive melanoma in Queensland.

DESIGN

Benefit incidence analysis of CancerCostMod data, comprising Queensland Cancer Registry data linked with Queensland Hospital Admitted Patient Data Collection (QHAPDC), Medicare Benefits Schedule (MBS), and Pharmaceutical Benefits Scheme (PBS) data.

SETTING, PARTICIPANTS

Adults (18 years or older) newly diagnosed with invasive melanoma in Queensland during 1 July 2011 - 31 June 2015 and alive three years after diagnosis.

MAIN OUTCOME MEASURES

Concentration curves and indices quantifying differences by residential postcode-based remoteness (Australian Statistical Geography Standard - Remoteness Area) and socio-economic disadvantage (Index of Relative Socioeconomic Disadvantage) in hospital admissions (overall and by type) and use of MBS (overall and by type) and PBS services during the three years following diagnosis of invasive melanoma.

RESULTS

A total of 13 145 adults diagnosed with invasive melanoma during 2011-15 were alive three years after the diagnosis. Public hospital admissions were more frequent for people living in areas of greater socio-economic disadvantage (concentration index, -0.15; 95% confidence interval [CI], -0.19 to -0.12) or outside major cities (concentration index, -0.10; 95% CI, -0.13 to -0.06); private hospital admissions (concentration index, 0.11; 95% CI, 0.07-0.15) and specialist consultations (concentration index, 0.08; 95% CI, 0.07-0.10) were more frequent in areas of lesser disadvantage and in major cities (private hospital admissions: 0.10; 95% CI, 0.06-0.13; specialist services: 0.07; 95% CI, 0.06-0.09). Differences in other melanoma health care service use by residential remoteness and socio-economic disadvantage were not statistically significant.

CONCLUSIONS

Variation in health care service use by Queenslanders with primary diagnoses of invasive melanoma by residential socio-economic disadvantage and remoteness were generally minor. Our analysis suggests that access to health care for people with melanoma is fairly equitable in Queensland.

Inequity in psychiatric healthcare use in Australia

BACKGROUND

Despite recent substantial mental healthcare reforms to increase the supply of healthcare, mental health inequality in Australia is rising. Understanding of the level of inequity (unmet need gap) in psychiatric service use in Australia's mixed public-private health care system is lacking.

OBJECTIVE

To present a novel method to measure inequity in the delivery of psychiatric care.

METHODS

Data came from wave 9 (year 2009, n = 11,563) and wave 17 (year 2017, n = 16,194) of the Household, Income and Labour Dynamics in Australia (HILDA) survey. Multiple logistic regression was employed to estimate the psychiatric care utilisation compared to its need and the Gini index was used to estimate the standardised distribution of utilisation to measure the extent of inequity.

RESULTS

The results show the inequity indices (need-standardised Gini) in psychiatric care utilisation were significant and found to be 0.066 and 0.096 in 2009 and 2017, respectively, for all individuals. In 2009, the inequity indices were found to be 0.051 and 0.078 for males and females, respectively, and 0.045 and 0.068 for rural and urban residents, respectively. In 2017, the indices were calculated to be 0.081 and 0.109 for males and females, respectively, and 0.086 and 0.097 for rural and urban residents, respectively.

CONCLUSIONS

This study showed a marked increase in unmet needs in psychiatric care utilisation since 2009. There is a greater need to develop policies to improve equity in psychiatric care utilisation in Australia.

Challenges for Medicare and universal health care in Australia since 2000

OBJECTIVES

To identify the financing and policy challenges for Medicare and universal health care in Australia, as well as opportunities for whole-of-system strengthening.

STUDY DESIGN

Review of publications on Medicare, the Pharmaceutical Benefits Scheme, and the universal health care system in Australia published 1 January 2000 - 14 August 2021 that reported quantitative or qualitative research or data analyses, and of opinion articles, debates, commentaries, editorials, perspectives, and news reports on the Australian health care system published 1 January 2015 - 14 August 2021. Program-, intervention- or provider-specific articles, and publications regarding groups not fully covered by Medicare (eg, asylum seekers, prisoners) were excluded.

DATA SOURCES

MEDLINE Complete, the Health Policy Reference Centre, and Global Health databases (all via EBSCO); the Analysis & Policy Observatory, the Australian Indigenous HealthInfoNet, the Australian Public Affairs Information Service, Google, Google Scholar, and the Organisation for Economic Co-operation and Development (OECD) websites.

RESULTS

The problems covered by the 76 articles included in our review could be grouped under seven major themes: fragmentation of health care and lack of integrated health financing, access of Aboriginal and Torres Strait Islander people to health services and essential medications, reform proposals for the Pharmaceutical Benefits Scheme, the burden of out-of-pocket costs, inequity, public subsidies for private health insurance, and other challenges for the Australian universal health care system.

CONCLUSIONS

A number of challenges threaten the sustainability and equity of the universal health care system in Australia. As the piecemeal reforms of the past twenty years have been inadequate for meeting these challenges, more effective, coordinated approaches are needed to improve and secure the universality of public health care in Australia.

Cost-sharing reduction and health service utilisation, health-related lifestyles, and obesity: evidence from the Australian health concession card policy

BACKGROUND

The Australian Health Concession Card (HCC) policy aims to improve access to affordable health services and medicines by providing reduced patient cost-sharing. This study explored the association between HCC holding and health service utilisation, as well as health-related lifestyles and obesity in Australian adults.

METHODS

The Australian National Health Survey data were used to derive three sets of study outcomes. Multivariable generalised linear regression models were used to estimate the association between concessional status and study outcomes after controlling for socio-demographic factors.

RESULTS

HCC holders, compared to their non-concessional counterparts, had more visits to GPs (1.01, 95% CI: 0.74-1.30), specialists (0.23, 95% CI: 0.02-0.44), outpatient clinics (0.19, 95% CI: 0.06-0.31), and had more hospital admissions (0.04, 95% CI: -0.05-0.91). There was no significant difference in visits to doctors and health professionals about mental health problems among HCC holders and their counterparts. Moreover, less HCC holders consumed alcohol on ≥3days a week (OR: 0.75, 95% CI: 0.59-0.93) and had less of an alcohol risk that exceeded the 2001 alcohol guidelines (0.83, 95% CI: 0.69-0.99).

CONCLUSIONS

This study revealed evidence that reduced patientcost-sharing provided by HCC policy was positively correlated with more health service utilisation after adjusting for socio-demographic characteristics. Strategies to prioritise resources are necessary.

Equity in healthcare utilization in Canada's publicly funded health system: 2000-2014

Equity in healthcare utilization is a globally accepted measurement of health system performance. In Canada, equity is included as a policy goal in the Federal health legislation that governs healthcare systems. This study used ten cycles of the Statistics Canada Canadian Community Health Survey (CCHS, n = 664,548) to examine the trends in income-related inequities in healthcare utilization in Canada from 2000 to 2014. The horizontal inequity (HI) index was used to quantify inequity in healthcare utilization for general practitioner (GP) visits, specialist physician (SP) visits and hospital admissions (HA) nationally, in urban and rural areas, and for all provinces. Nationally, GP and SP visits show pro-rich inequity, while HA demonstrates pro-poor inequity. This pattern is consistent in the provincial and urban and rural areas results. Trend analysis suggested that inequity in GP visits became more pro-poor in New Brunswick, but more pro-rich in Prince Edward Island and Quebec. Despite the inclusion of equity as a main policy goal, this study demonstrated that inequity in healthcare utilization remains a persistent issue in the Canadian healthcare system.

The link between out-of-pocket costs and inequality in specialist care in Australia

Objective Out-of-pocket (OOP) costs could act as a potential barrier to accessing specialist services, particularly among low-income patients. The aim of this study is to examine the link between OOP costs and socioeconomic inequality in specialist services in Australia. Methods This study is based on population-level data from the Medicare Benefits Schedule of Australia in 2014-15. Three outcomes of specialist care were used: all visits, visits without OOP costs (bulk-billed services), and visits with OOP costs. Logistic and zero-inflated negative binomial regression models were used to examine the association between outcome variables and area-level socioeconomic status after controlling for age, sex, state of residence, and geographic remoteness. The concentration index was used to quantify the extent of inequality. Results Our results indicate that the distribution of specialist visits favoured the people living in wealthier areas of Australia. There was a pro-rich inequality in specialist visits associated with OOP costs. However, the distribution of the visits incurring zero OOP cost was slightly favourable to the people living in lower socioeconomic areas. The pro-poor distribution of visits with zero OOP cost was insufficient to offset the pro-rich distribution among the visits with OOP costs. Conclusions OOP costs for specialist care might partly undermine the equity principle of Medicare in Australia. This presents a challenge to the government on how best to influence the rate and distribution of specialists' services.

Health care use in response to health shocks: Does socio-economic status matter?

We investigate how utilization of primary care, specialist care, and emergency department (ED) care (and the mix across the three) changes in response to a change in health need. We determine whether any changes in utilization are impacted by socio-economic status. The use of a unique Australian data set that consists of a large survey linked to multiple years of detailed administrative records enables us to better control for individual heterogeneity and allows us to exploit changes in health that are related to the onset of two health shocks: a new diagnosis of diabetes and heart disease. We extend the analysis by also examining changes to patient out-of-pocket costs. We find significant differences in the mix between primary and specialist care use according to income and type of health shock but no evidence of using ED as a substitute for other care. Our results indicate that low- and high-income patients navigate very different pathways for their care following the onset of diabetes and to a lesser extent heart disease. These pathways appear to be chosen on the basis of ability to pay, rather than the most effective or efficient bundle of care delivered through a combination of GP and specialist care.

Horizontal inequity in the utilisation of healthcare services in Australia

The Australian universal healthcare system aims to ensure affordable and equitable use of healthcare services based on individual health needs. This paper presents empirical evidence on the extent of horizontal inequity (HI) in healthcare services (unequal utilisation by income for equal need) in Australia during the period of promoting reliance on private healthcare financing. Using data from the most recent Australian National Health Survey of 2011-12 and 2014-15, we examined and measured the extent of HI in eight indicators of out-of-hospital services and hospital-related care. Contrary to earlier studies, our results show a small but pro-rich inequity in the probability of general practitioner visits. Inequity in the distribution of specialist and dentist visits was in favour of richer people, a result that is commonly found in other developed countries and is also consistent with existing Australian evidence. Hospital-related care was equitably distributed compared to the pro-poor pattern found in earlier studies. Despite the universal health insurance system in Australia, there was inequity in the utilisation of needed healthcare services. Our evidence is relevant to similar health systems as governments move to higher out-of-pocket payments and other private sources to reduce pressure on public healthcare expenditure.

Inequity in healthcare use among the indigenous population living in non-remote areas of Australia

OBJECTIVES

Although several studies have examined the gap in healthcare use between indigenous and non-indigenous people, empirical evidence on inequity in healthcare use within indigenous populations is limited. This study aims to fill this gap in the literature by investigating income-related inequity (unequal use for equal need) in healthcare use among indigenous Australians living in non-remote areas.

STUDY DESIGN

This is a cross-sectional study.

METHODS

This study used data from the Australian Aboriginal and Torres Strait Islander Health Survey, 2012-13. Logistic regression analysis was used to determine the association of income with the probability of a general practitioner (GP) visit, a specialist visit and inpatient admission. The horizontal inequity (HI) index and decomposition analysis were also used to quantify and explain inequity in healthcare use.

RESULTS

No consistent association was found between income and the probability of GP visit or inpatient admission after controlling for health need. However, the likelihood of visiting a specialist was about three times (odds ratio = 2.96, P = 0.028) higher for the richest compared with the poorest population subgroups. The inequity index was 0.016 (P < 0.001), indicating a pro-rich inequity for the probability of visiting a specialist. Income inequality, unequal distribution of private health insurance and inequality in education were the main factors explaining the pro-rich inequity in specialist utilisation.

CONCLUSIONS

Although there was no income-related inequity in GP visits or inpatient admissions, wealthier indigenous Australians had a higher probability of visiting a specialist than their poorer counterparts, after adjusting for need. Specific policies and initiatives are required to address the inequity faced by low-income indigenous people in Australia.