Distribution Of Health Care Resources Research Articles

Diabetes, COVID-19 and Mucormycosis: Unanswered Questions!

Diabetes, COVID-19 and Mucormycosis: Unanswered Questions!

Regional Uneven Distribution of Healthcare Resources Related to Medical Imaging

Regional Uneven Distribution of Healthcare Resources Related to Medical Imaging

Health Inequalities During COVID-19 and Their Effects on Morbidity and Mortality.

Inequalities in health have existed for many decades and have led to unjust consequences in morbidity and mortality. These have become even more apparent during the COVID-19 pandemic with individuals from black and minority ethnic groups, poorer socioeconomic backgrounds, urban and rurally deprived locations, and vulnerable groups of society suffering the full force of its effects. This review is highlighting the current disparities that exist within different societies, that subsequently demonstrate COVID-19, does in fact, discriminate against disadvantaged individuals. Also explored in detail are the measures that can and should be taken to improve equality and provide equitable distribution of healthcare resources amongst underprivileged communities.

Trend and status of out-of-pocket payments for healthcare in Iran: equity and catastrophic effect

BackgroundEquity in the distribution of health care resources and mitigating the risk of out-of-pocket (OOP) catastrophic healthcare expenditures (CHE) are the major objectives of the health system of a country. This study aims to measure equity in OOP payments for healthcare and the incidence of CHE among Iranian households over time.MethodsThis retrospective cross-sectional study utilized data extracted from the household income and expenditure survey (HIES) of Iran, collected by the Statistical Center of Iran. The analysis included a total of 174,341 households’ five yearly data of 6 years starting from 1991 to 2017. Kakwani progressivity index (KPI) was used to measure the equity in OOP payment for each year and examine the households’ incidence of CHE at 20%, 30%, and 40% of their capacities to pay (CTP). The trend series regression analysis was used to examine the trend in the KPI and the incidence of the CHE over time.ResultsThe findings indicated that the households’ expenditure on health out of their monthly budgets for the years 1991 and 2017 were 2.1% and 10.1%, respectively. The KPI for the OOP payment was negative for all 6-year observations (1991 = − 0.680; 1996 = − 0.608; 2001 = − 0.554; 2006 = − 0.265; 2011 = − 0.225, and 2017 = − 0.207), indicating that the OOP payments for healthcare are regressive and more concentrated among the socioeconomically disadvantaged households. There was a statistically significant (p = 0.003) increase in the KPI (i.e., decline in the regressivity) over time. The incidence of the CHE (1.12, 1.93, and 3.71%) in 1991 at the CTP levels of 20%, 30%, and 40% was lower than the incidence at the corresponding levels of CTP (5.26, 10.88, and 22.16) in 2017. The findings of the time-series regression indicated a statistically significant (p < 0.05) increase in the incidence of the CHE at the 20%, 30%, and 40% levels of the households’ CTP.ConclusionsThe current study demonstrated that OOP payment as a source of healthcare funding in Iran is inequitable. While the use of interventions such as the prepaid and publicly funded programs may contribute to the reduction of CHE and improvement of equity in healthcare financing, further inequality analyses in the incidence of the CHE among households and its main determinants can contribute to evidence-informed planning to reduce the CHE in the context.

Patient-provider relationships in China: A qualitative study on the perspectives of healthcare students and junior professionals

Mistrust and conflicts in patient-provider relationships (PPR) have become prevalent in China. The frequency of verbal and physical violence against healthcare workers has been increasing, but few interventions seem to be effective. Limited prior research has focused on the perspectives of healthcare professionals in training. This paper aimed to understand their viewpoints and conceptualize potentially actionable areas for future policy interventions. We analyzed de-identified training registration data of a convenience sample of 151 healthcare students and 38 junior professionals from 20 provinces in China. One open-ended question in the registration form asked the participant to comment on PPRs in China. We used qualitative thematic coding to analyze the narrative data. All answers were categorized into three overarching frames: patients, providers, and external agencies/regulations. Frequently mentioned themes in each frame were evaluated to generate an overall theoretical framework. Although fewer than 25% indicated that current PPRs are "good" or acceptable, 98% of respondents were optimistic about the future improvement of these relationships. The leading factors of PPRs mentioned as patient-relevant were eroding trust in the physician, unrealistic expectations, and ineffective communication. The provider-relevant themes highlighted were poor service quality, ineffective communication, and heavy workload. Leading themes relevant to external agencies or regulations were dysfunctional administration system, negative media reports, and disparity in healthcare resource distribution. Healthcare professionals in training had a negative view of the current situation but had confidence in future improvement. Patient, provider, and societal factors all contributed to the tension between patients and providers. All aspects of the healthcare sector should be carefully considered when contemplating policy or social interventions to improve the patient-provider relationship.

Impact of geographic distribution of accredited breast centers.

The National Accreditation Program for Breast Centers (NAPBCs) is dedicated to improving the quality of care in patients with breast disease. Geographic distribution of health care resources is an important measure of quality, yet little is known regarding breast center allocation patterns concerning population demand and impact on health outcomes. The purpose of this study was to analyze the distribution of NAPBC programs in the United States (USA) and evaluate the impact on breast cancer survival. Using the Centers for Disease Control and Prevention 2014 data base, we identified the incidence and mortality rates for breast cancer by state. We also determined the concentration of NAPBC programs in each state (ie, the number of centers per 1000 cases of breast cancer). Data were analyzed using Spearman's (nonparametric) rank correlation coefficients. Five hundred and seventy NAPBC programs were identified. Across the United States, there was a mean of 2.8 programs/1000 breast cancer diagnoses. A positive correlation (r=.45) between breast cancer incidence and the number of programs was identified (P=.0009). There was no statistically significant correlation between mortality and NAPBC program concentration (r=-0.20, P=.16). NAPBC-accredited program distribution within the United States correlates with breast cancer incidence per state. However, the number of NAPBC programs per state did not alter overall mortality rates. Added measures beyond survival, as well as further insight into referral patterns to NAPBC programs, may be required to demonstrate the value and impact of NAPBC accreditation.

Rural-urban differences in health outcomes, healthcare use, and expenditures among older adults under universal health insurance in China.

Rural-urban inequalities in health status and access to care are a significant issue in China, especially among older adults. However, the rural-urban differences in health outcomes, healthcare use, and expenditures among insured elders following China's comprehensive healthcare reforms in 2009 remain unclear. Using the Chinese Longitudinal Healthy Longevity Surveys data containing a sample of 2,624 urban and 6,297 rural residents aged 65 and older, we performed multivariable regression analyses to determine rural-urban differences in physical and psychological functions, self-reported access to care, and healthcare expenditures, after adjusting for individual socio-demographic characteristics and health conditions. Nonparametric tests were used to evaluate the changes in rural-urban differences between 2011 and 2014. Compared to rural residents, urban residents were more dependent on activities of daily living (ADLs) and instrumental ADLs. Urban residents reported better adequate access to care, higher adjusted total expenditures for inpatient, outpatient, and total care, and higher adjusted out-of-pocket spending for outpatient and total care. However, rural residents had higher adjusted self-payment ratios for total care. Rural-urban differences in health outcomes, adequate access to care, and self-payment ratio significantly narrowed, but rural-urban differences in healthcare expenditures significantly increased from 2011 to 2014. Our findings revealed that although health and healthcare access improved for both rural and urban older adults in China between 2011 and 2014, rural-urban differences showed mixed trends. These findings provide empirical support for China's implementation of integrated rural and urban public health insurance systems, and further suggest that inequalities in healthcare resource distribution and economic development between rural and urban areas should be addressed to further reduce the rural-urban differences.

Overcoming inefficiencies arising due to the impact of the modifiable areal unit problem on single-aggregation disease maps

BackgroundIn disease mapping, fine-resolution spatial health data are routinely aggregated for various reasons, for example to protect privacy. Usually, such aggregation occurs only once, resulting in ‘single-aggregation disease maps’ whose representation of the underlying data depends on the chosen set of aggregation units. This dependence is described by the modifiable areal unit problem (MAUP). Despite an extensive literature, in practice, the MAUP is rarely acknowledged, including in disease mapping. Further, despite single-aggregation disease maps being widely relied upon to guide distribution of healthcare resources, potential inefficiencies arising due to the impact of the MAUP on such maps have not previously been investigated.ResultsWe introduce the overlay aggregation method (OAM) for disease mapping. This method avoids dependence on any single set of aggregate-level mapping units through incorporating information from many different sets. We characterise OAM as a novel smoothing technique and show how its use results in potentially dramatic improvements in resource allocation efficiency over single-aggregation maps. We demonstrate these findings in a simulation context and through applying OAM to a real-world dataset: ischaemic stroke hospital admissions in Perth, Western Australia, in 2016.ConclusionsThe ongoing, widespread lack of acknowledgement of the MAUP in disease mapping suggests that unawareness of its impact is extensive or that impact is underestimated. Routine implementation of OAM can help avoid resource allocation inefficiencies associated with this phenomenon. Our findings have immediate worldwide implications wherever single-aggregation disease maps are used to guide health policy planning and service delivery.

Abstract PO-057: Cancer center support for understanding statewide COVID-19 prevalence and early detection

Abstract NCI-funded cancer centers are committed to serving the needs of their catchment area—at no other time have these needs been greater or more explicit. To this end many cancer institutes are redirecting the efforts of Community Outreach and Engagement (COE) programs to address COVID-19 related needs. The Knight Cancer Institute, recognizing the substantial resources they bring in community engagement and population science, has taken a lead role in establishing a statewide study of the prevalence of COVID-19 related symptoms and active disease. The Knight team has developed and implemented a syndromic and active surveillance system that allows monitoring of COVID-19 related symptoms as early indicators of COVID-19 accompanied by symptomatic and asymptomatic testing. The Key to Oregon study, started with state funding, will create a cohort of up to 100,000 individuals. Participants are identified with household statewide random sampling with stratification and oversampling for geography (rural/urban) and race/ethnicity. A secure, HIPAA-compliant web-based data entry portal was developed and individuals are consented to provide daily information of symptoms related to COVID-19 and a series of additional surveys addressing issues such as financial impact, mental health impact, and physical impacts (including cancer screening behaviors) of the COVID-19 pandemic. Individuals meeting symptom thresholds consistent with potential coronavirus infections are offered a mailed, home-based COVID-19 testing kit. Additionally, asymptomatic testing of randomly selected individuals will be conducted at regular intervals. In the first 2 weeks of recruitment, nearly 10,000 individuals have enrolled. Weekly review of data assesses for recruitment bias and provides focus for community engagement efforts. The Knight COE team leverages their existing relationships and infrastructure to support engagement in communities of color, Native American, Latin X, and rural groups. Listening sessions have been held and Knight will direct resources to support community organizations committed to assisting with outreach for the Key to Oregon study. The value of this study as a mechanism for informing public health policy and health care resource distribution is immense. Further, the impact, while not immediate, on cancer research and cancer care is substantial, from building community-level trust that will long outlast the pandemic, to providing early indicators of infection hot spots that allow susceptible individuals to make potentially life-saving decisions, to establishing a statewide cohort of individuals who may be re-approached for future cancer-related studies. The ability of an NCI-designated cancer center to rapidly and effectively redirect and repurpose resources has allowed for the development of this innovative statewide resource. Citation Format: Jackilen Shannon, David Bangsberg, Paul Spellman, Bridget Barnes, Jenny Lee Berry, Kim Brown, Derick DuVivier, Kathryn Goforth, Peter Graven, Christopher Peters, Kathryn Schuff, Brian Druker. Cancer center support for understanding statewide COVID-19 prevalence and early detection [abstract]. In: Proceedings of the AACR Virtual Meeting: COVID-19 and Cancer; 2020 Jul 20-22. Philadelphia (PA): AACR; Clin Cancer Res 2020;26(18_Suppl):Abstract nr PO-057.

Associations Between Healthcare Resources and Healthy Life Expectancy: A Descriptive Study across Secondary Medical Areas in Japan.

Japan has the highest life expectancy in the world. However, this does not guarantee an improved quality of life. There is a gap between life expectancy and healthy life expectancy. This study aimed to reveal the features of healthy life expectancy across all secondary medical areas (n = 344) in Japan and examine the relationship among healthcare resources, life expectancy, and healthy life expectancy at birth. Data were collected from Japan’s population registry and long-term insurance records. Differences in healthy life expectancy by gender were calculated using the Sullivan method. Maps of healthy life expectancy were drawn up. Descriptive statistics and correlation analysis were used for analysis. The findings revealed significant regional disparities. The number of doctors and therapists, support clinics for home healthcare facilities and home-visit treatments, and dentistry expenditure per capita were positively correlated with life expectancy and healthy life expectancy (correlation coefficients > 0.2). They also revealed gender differences. Despite controlling for population density, inequalities in healthy life expectancy were observed, highlighting the need to promote social policies to reduce regional disparities. Japanese policymakers should consider optimal levels of health resources to improve life expectancy and healthy life expectancy. The geographical distribution of healthcare resources should also be reconstituted.

A twin disaster: Addressing the COVID-19 pandemic and a cerebrospinal meningitis outbreak simultaneously in a low-resource country

ABSTRACT Managing a deadly pandemic in low- and middle-income countries (LMIC) is challenging. The task becomes tougher when there is an outbreak of an equally deadly disease. This is the present situation of Ghana, a low-resource country, that is confronted with the coronavirus disease 2019 (COVID-19) pandemic and cerebrospinal meningitis (CSM) outbreak. Apart from the resource constraint at both governmental and individual levels, such a situation affects the overall wellbeing of ordinary citizens as well as healthcare professionals, particularly those in high-risk areas. Perhaps, more than ever, we have to ensure equitable distribution of scarce healthcare resources in our effort to manage this ‘twin disaster’ of COVID-19 and CSM. We evaluated Ghana’s situation (outbreak response) and recommended measures to help us navigate this conundrum of a public health crisis.

Guiding principles for prioritization of limited in-person dermatology appointments during the COVID-19 pandemic

Guiding principles for prioritization of limited in-person dermatology appointments during the COVID-19 pandemic

Examining Trans-Provincial Diagnosis of Rare Diseases in China: The Importance of Healthcare Resource Distribution and Patient Mobility

(1) Background: Rare disease patients in China usually have to travel a long distance, typically across provinces, for an accurate diagnosis due to the uneven distribution of healthcare resources. This study investigated the impact factors of their trans-provincial diagnosis. (2) Methods: An analysis was made of 1531 cases (1032 adults and 499 children) garnered from the 2018 China Rare Disease Survey, representing a large patient community inflicted with 75 rare diseases from across 31 Chinese provinces. Logistic regression models were used for separate analysis of adult and child patient groups. (3) Results: Nearly half (47.2%) of patients obtained their accurate diagnosis outside their home provinces. The uneven geographical distribution of high-quality healthcare had a significant impact on variation in trans-province diagnosis. Adult patients with lower family income, rural hukou and severer physical disability were disadvantaged in accessing trans-provincial diagnosis. Families with a child patient tended to pour resources into obtaining the trans-provincial diagnosis. The rarity of the disease had only a minimal effect on healthcare utilization across the provinces. (4) Conclusions: In addition to medical care, more attention should be paid to the socioeconomic factors that prevent the timely diagnosis of a rare disease, especially the uneven geographical distribution of high-quality healthcare resources, the financial burden on the family and the differences between adult and child patients.

Using Reports of Symptoms and Diagnoses on Social Media to Predict COVID-19 Case Counts in Mainland China: Observational Infoveillance Study.

BackgroundCoronavirus disease (COVID-19) has affected more than 200 countries and territories worldwide. This disease poses an extraordinary challenge for public health systems because screening and surveillance capacity is often severely limited, especially during the beginning of the outbreak; this can fuel the outbreak, as many patients can unknowingly infect other people.ObjectiveThe aim of this study was to collect and analyze posts related to COVID-19 on Weibo, a popular Twitter-like social media site in China. To our knowledge, this infoveillance study employs the largest, most comprehensive, and most fine-grained social media data to date to predict COVID-19 case counts in mainland China.MethodsWe built a Weibo user pool of 250 million people, approximately half the entire monthly active Weibo user population. Using a comprehensive list of 167 keywords, we retrieved and analyzed around 15 million COVID-19–related posts from our user pool from November 1, 2019 to March 31, 2020. We developed a machine learning classifier to identify “sick posts,” in which users report their own or other people’s symptoms and diagnoses related to COVID-19. Using officially reported case counts as the outcome, we then estimated the Granger causality of sick posts and other COVID-19 posts on daily case counts. For a subset of geotagged posts (3.10% of all retrieved posts), we also ran separate predictive models for Hubei province, the epicenter of the initial outbreak, and the rest of mainland China.ResultsWe found that reports of symptoms and diagnosis of COVID-19 significantly predicted daily case counts up to 14 days ahead of official statistics, whereas other COVID-19 posts did not have similar predictive power. For the subset of geotagged posts, we found that the predictive pattern held true for both Hubei province and the rest of mainland China regardless of the unequal distribution of health care resources and the outbreak timeline.ConclusionsPublic social media data can be usefully harnessed to predict infection cases and inform timely responses. Researchers and disease control agencies should pay close attention to the social media infosphere regarding COVID-19. In addition to monitoring overall search and posting activities, leveraging machine learning approaches and theoretical understanding of information sharing behaviors is a promising approach to identify true disease signals and improve the effectiveness of infoveillance.

Patterns in Geographic Access to Health Care Facilities Across Neighborhoods in the United States Based on Data From the National Establishment Time-Series Between 2000 and 2014

The association between proximity to health care facilities and improved disease management and population health has been documented, but little is known about small-area health care environments and how the presence of health care facilities has changed over time during recent health system and policy change. To examine geographic access to health care facilities across neighborhoods in the United States over a 15-year period. Using longitudinal business data from the National Establishment Time-Series, this cross-sectional study examined the presence of and change in ambulatory care facilities and pharmacies and drugstores in census tracts (CTs) throughout the continental United States between 2000 and 2014. Between January and April 2019, multinomial logistic regression was used to estimate associations between health care facility presence and neighborhood sociodemographic characteristics over time. Change in health care facility presence was measured as never present, lost, gained, or always present between 2000 and 2014. Neighborhood sociodemographic characteristics (ie, CTs) and their change over time were measured from US Census reports (2000 and 2010) and the American Community Survey (2008-2012). Among 72 246 included CTs, the percentage of non-US-born residents, residents 75 years or older, poverty status, and population density increased, and 8.1% of CTs showed a change in the racial/ethnic composition of an area from predominantly non-Hispanic (NH) white to other racial/ethnic composition categories between 2000 and 2010. The presence of ambulatory care facilities increased from a mean (SD) of 7.7 (15.9) per CT in 2000 to 13.0 (22.9) per CT in 2014, and the presence of pharmacies and drugstores increased from a mean (SD) of 0.6 (1.0) per CT in 2000 to 0.9 (1.4) per CT in 2014. Census tracts with predominantly NH black individuals (adjusted odds ratio [aOR], 2.37; 95% CI, 2.03-2.77), Hispanic/Latino individuals (aOR 1.30; 95% CI, 1.00-1.69), and racially/ethnically mixed individuals (aOR, 1.53; 95% CI, 1.33-1.77) in 2000 had higher odds of losing health care facilities between 2000 and 2014 compared with CTs with predominantly NH white individuals, after controlling for other neighborhood characteristics. Census tracts of geographic areas with higher levels of poverty in 2000 also had higher odds of losing health care facilities between 2000 and 2014 (aOR, 1.12; 95% CI, 1.05-1.19). Differential change was found in the presence of health care facilities across neighborhoods over time, indicating the need to monitor and address the spatial distribution of health care resources within the context of population health disparities.

The ecology of medical care in Switzerland: prevalence of illness in the community and healthcare utilisation in Switzerland.

The allocation and equal distribution of healthcare resources is one of the major challenges of today. Therefore, a framework to analyse the prevalence of illness in the community and the use of various sources of healthcare is crucial. The aim of the study was to evaluate the health-seeking behaviour of 1025 individuals in Switzerland in a 2-month period in 2018. Population-based, cross-sectional health survey with a multistage, stratified cluster design. The LINK Institute (Luzern, Switzerland, https://www.link.ch/) interviewed a representative sample of the adult Swiss population (age &ge;18 years, stratified by language region: German-, French- and Italian-speaking, 70, 25 and 5%, respectively) by telephone. There were two interview rounds to account for potential seasonal variations, in May (n = 506) and November 2018 (n = 516). The health-seeking behaviour of these individuals during the previous 2 months was analysed. In total, data of 1025 individuals were analysed: 51% females, median age 52 years (range 1885). During the preceding 2 months, per 1000 adults, 546 had at least one symptom, 184 reported several symptoms, 243 sought medical advice, 164 first contacted their general practitioner, 81 directly contacted a specialist in a private practice, 16 were self-admitted to an accident and emergency department, 17 firstly contacted a pharmacy and 6 contacted an alternative medicine healthcare provider. In total, 21 persons were admitted to a hospital, of whom 8 underwent surgical procedures, 18 were at first transferred to a regular ward and 3 required intensive care unit services. Because of their current health problem, 387 individuals took medication and 259 bought their medication themselves. The vast majority (95%) of subjects was registered with a general practitioner. This study represented an attempt to map the healthcare utilisation of the Swiss population. These results may be useful for further delineation of healthcare policies and medical education to meet the demand and needs of people in Switzerland. They indicate that general practitioners are the most important healthcare resource in Switzerland. Compared with specialists, they provide twice as much health advice at less costs. To optimise the health care system in Switzerland, we suggest to allocate resources where they are most needed.

Inequality in the Distribution of Healthcare Human Resources in Poland

Human resources are the major input in health systems. Therefore, their equitable distribution remains critical in making progress towards the goal of sustainable development. The purpose of this study is to evaluate equity in the distribution of healthcare human resources across regions of Poland from 2010 to 2017. This research by applying specifically to Polish conditions will allow the existing gap in the literature to be closed. Data were derived from the Database of Statistics Poland, and the Lorenz Curve/Gini coefficient was engaged as well as the Theil index to measure the extent and drivers of inequality in the distribution of healthcare human resources in macro-regions. Population size along with crude death rates are employed as proxies for healthcare need/demand. This research has several major findings. Mainly, it was found, that the geographical distribution of all types of human resources is less equitable than is the case with population distribution. Relatively lower equity in the access to oncologists, family doctors, and cardiologists was found. There are some noticeable differences between macro-regions in the equity level of healthcare human resources distribution. This research provides various implications for policy and practice and will allow for improved planning and more efficient use of these resources.

The Affordable Care Act and Recent Reforms: Policy Implications for Equitable Mental Health Care Delivery.

Controversy exists over how to ethically distribute health care resources and which factors should determine access to health care services. Although the US has traditionally used a market-based private insurance model that does not ensure universal coverage, the Patient Protection and Affordable Care Act (ACA) in the United States aims to increase equitable access to health care by increasing the accessibility, affordability, and quality of health care services. This article evaluates the impact of the ACA on equitable mental health care delivery according to access factors that can hinder or facilitate the delivery of mental health services based on need. The ACA has successfully expanded coverage to millions of Americans and promoted coordination and access to mental health care; however, financial and non-financial access barriers to mental health care and access disparities remain. Reform efforts should not undervalue the gains that the ACA has made but should attempt to balance considerations of cost and increasing free-market mechanisms with decreasing remaining health care disparities.

Pediatric Kidney Transplant Experience in Ontario: A Review of Division of the Surgical and Medical Management Across Local Tertiary Care Institutions.

Background:Our institution is the largest pediatric kidney transplantation (KT) center in Canada and the referral center for pediatric KT in Ontario. Pediatric KT recipients are referred to our center for KT and transferred back to their local tertiary care institutions for post-transplant care. This investigation assesses whether the current system of transferring patients back to their local tertiary care institutions following KT allows decreased burden and distribution of resources from a single centralized surgical center.Methods:A retrospective review of KT performed at our institution between 2000 and 2015 was performed. Patients were divided into those who began their chronic kidney disease (CKD) care at our institution and those who began their care elsewhere. Readmission to our institution within 1 year of KT for surgical and nonsurgical complications was compared. The geographical proximity of patients to our institution and institution of initial CKD care was assessed quantitatively and mapped visually.Results:Of 324 patients who underwent KT, 244 (75.3%) began their CKD care at our institution. Those who began their CKD care at other institutions had shorter initial admissions to our institution (17 [14-24] vs 14 [12-17], P < .0001) and were less likely to be readmitted to our institution for nonsurgical concerns at <6 months after transplant (P < .0001) and 6 to 12 months after transplant (P < .0001). There were similar readmissions for complications requiring surgical management. The relationship between the center of CKD initiation and readmission remained significant on multivariate analysis. There was a significant difference in distance (km) to our institution between the 2 groups (46 [interquartile range = 24-109] vs 203 [117-406], P < .0001).Conclusion:Patients who are geographically distanced from our institution began their CKD care at their closest institution and were managed effectively at those institutions following initial discharge/transfer of care, suggesting that there is an effective distribution of health care resources with regard to CKD and KT care.

Distribution of Health Care Resources in Austria - Inequality Assessment of Different Health Care Resources at Different Points in Time.

A major objective of health policy in many countries is to avoid inequality in the distribution of health care resources. Our goal is to provide initial insight into the inequality in the regional distribution of different health care resources per capita and the variation of the inequality over time in Austria to provide starting points for policy recommendations and international comparisons. We also aim to examine whether the type of inequality measure and need-adjustment has an impact on the results. The findings reveal that inequality in the distribution of GPs with contracts with social health insurance is comparably small, but we observe an increase in inequality from 2002 to 2014. In general, there is a clear trend toward private physicians, of whom private specialists preferably open their practices in densely populated areas. Despite considerable reductions in public hospital beds between 2002 and 2014, the distribution across regions remains almost constant. The use of different inequality measures and need-adjustment provides additional insights so that custom-made policies to reduce inequalities can be developed.