Urban or Rural GP? In the Czech Republic It Is not just Distances That Matter.

This article proposes a combined mixed methods approach to categorising GP practices. It looks not only at location but also at differences in the nature of the work that rural GPs perform. A data analysis was conducted of the largest health insurance company in the Czech Republic (5.9 million patients, 60% of the population, 100% coverage within the Czech Republic). We performed two data analyses, one for 2014-2015 and one for 2016, and divided GP practices into urban, intermediate, and rural groups (taking into account the OECD methodology). We compared groups in terms of the total annual cost in CZK per adult registered insurance holders. The total volume of data indicated the financial costs of €1.52 billion and €2.57 billion respectively. Both analysis showed differences between all groups of practises which confirmed the assumption that the work of the GP is influenced by regionality. A multidisciplinary hospital is the main factor that fundamentally affects the way a GP's work in that area. The proposed principle of categorising general practices combines geographical and cost characteristics. This requires knowledge of the cost data of healthcare payer and on the basic demographic knowledge of the area. We suggest this principe may be transferrable and particularly suitable for categorising general practice.

Influence of Geographic Access on Surgical Center Readmissions After Index Congenital Heart Surgery.

OBJECTIVE: To assess the impact of geographic access to surgical center on readmission risk and burden in children after congenital heart surgery. STUDY DESIGN: Children <6 years old at discharge after congenital heart surgery (Risk Adjustment for Congenital Heart Surgery-1 score 2-6) were identified using Pediatric Health Information System data (46 hospitals, 2004-2015). Residential distance from the surgery center, calculated using ZIP code centroids, was categorized as <15, 15-29, 30-59, 60-119, and ≥120 miles. Rurality was defined using rural-urban commuting area codes. Geographic risk factors for unplanned readmissions to the surgical center and associated burden (total hospital length of stay [LOS], costs, and complications) were analyzed using multivariable regression. RESULTS: Among 59 696 eligible children, 19 355 (32%) had ≥1 unplanned readmission. The median LOS was 9 days (IQR 22) across the entire cohort. In those readmitted, median total costs were $31 559 (IQR $90 176). Distance from the center was inversely related but rurality was positively related to readmission risk. Among those readmitted, increased distance was associated with longer LOS, more complications, and greater costs. Compared with urban patients, highly rural patients were more likely to have an unplanned readmission but had fewer average readmission days. CONCLUSIONS: Geographic measures of access differentially affect readmission to the surgery center. Increased distance from the center was associated with fewer unplanned readmissions but more complications. Among those readmitted, the most isolated patients had the greatest readmission costs. Understanding the contribution of geographic access will aid in developing strategies to improve care delivery to this population.

Lower Limb Revascularization for Peripheral Arterial Disease in 10,951 Procedures over 11 years in a Public Health System: A Descriptive Analysis of the Largest Brazilian City.

BACKGROUND: Worldwide, peripheral arterial disease (PAD) is a disease with high morbidity, affecting more than 200 million people. Our objective was to analyze the surgical treatment for PAD performed in the Unified Health System of the city of São Paulo during the last 11 years based on publicly available data. METHODS: The study was conducted with data analysis available on the TabNet platform, belonging to the DATASUS. Public data (government health system) from procedures performed in São Paulo between 2008 and 2018 were extracted. Sex, age, municipality of residence, operative technique, number of surgeries (total and per hospital), mortality during hospitalization, mean length of stay in the intensive care unit and amount paid by the government system were analyzed. RESULTS: A total of 10,951 procedures were analyzed (either for claudicants or critical ischemia-proportion unknown); 55.4% of the procedures were performed on males, and in 50.60%, the patient was older than 65 years. Approximately two-thirds of the patients undergoing these procedures had residential addresses in São Paulo. There were 363 in-hospital deaths (mortality of 3.31%). The hospital with the highest number of surgeries (n = 2,777) had lower in-hospital mortality (1.51%) than the other hospitals. A total of $20,655,272.70 was paid for all revascularizations. CONCLUSIONS: Revascularization for PAD treatment has cost the government system more than $20 million over 11 years. Endovascular surgeries were performed more often than open surgeries and resulted in shorter hospital stays and lower perioperative mortality rates.

Public health insurance and cancer-specific mortality risk among patients with breast cancer: A prospective cohort study in China.

Little is known about how health insurance policies, particularly in developing countries, influence breast cancer prognosis. Here, we examined the association between individual health insurance and breast cancer-specific mortality in China. We included 7436 women diagnosed with invasive breast cancer between 2009 and 2016, at West China Hospital, Sichuan University. The health insurance plan of patient was classified as either urban or rural schemes and was also categorized as reimbursement rate (ie, the covered/total charge) below or above the median. Breast cancer-specific mortality was the primary outcome. Using Cox proportional hazards models, we calculated hazard ratios (HRs) for cancer-specific mortality, contrasting rates among patients with a rural insurance scheme or low reimbursement rate to that of those with an urban insurance scheme or high reimbursement rate, respectively. During a median follow-up of 3.1 years, we identified 326 deaths due to breast cancer. Compared to patients covered by urban insurance schemes, patients covered by rural insurance schemes had a 29% increased cancer-specific mortality (95% CI 0%-65%) after adjusting for demographics, tumor characteristics and treatment modes. Reimbursement rate below the median was associated with a 42% increased rate of cancer-specific mortality (95% CI 11%-82%). Every 10% increase in the reimbursement rate is associated with a 7% (95% CI 2%-12%) reduction in cancer-specific mortality risk, particularly in patients covered by rural insurance schemes (26%, 95% CI 9%-39%). Our findings suggest that underinsured patients face a higher risk of breast cancer-specific mortality in developing countries.

Eliciting women's preferences for place of child birth at a peri-urban setting in Nairobi, Kenya: A discrete choice experiment.

OBJECTIVE: Maternal and newborn mortality rates are high in peri-urban areas in cities in Kenya, yet little is known about what drives women's decisions on where to deliver. This study aimed at understanding women's preferences on place of childbirth and how sociodemographic factors shape these preferences. METHODS: This study used a Discrete Choice Experiment (DCE) to quantify the relative importance of attributes on women's choice of place of childbirth within a peri-urban setting in Nairobi, Kenya. Participants were women aged 18-49 years, who had delivered at six health facilities. The DCE consisted of six attributes: cleanliness, availability of medical equipment and drug supplies, attitude of healthcare worker, cost of delivery services, the quality of clinical services, distance and an opt-out alternative. Each woman received eight questions. A conditional logit model established the relative strength of preferences. A mixed logit model was used to assess how women's preferences for selected attributes changed based on their sociodemographic characteristics. RESULTS: 411 women participated in the Discrete Choice Experiment, a response rate of 97.6% and completed 20,080 choice tasks. Health facility cleanliness was found to have the strongest association with choice of health facility (ß = 1.488 p<0.001) followed respectively by medical equipment and supplies availability (ß = 1.435 p<0.001). The opt-out alternative (ß = 1.424 p<0.001) came third. The attitude of the health care workers (ß = 1.347, p<0.001), quality of clinical services (ß = 0.385, p<0.001), distance (ß = 0.339, p<0.001) and cost (ß = 0.0002 p<0.001) were ranked 4th to 7th respectively. Women who were younger and were the main income earners having a stronger preference for clean health facilities. Older married women had stronger preference for availability of medical equipment and kind healthcare workers. CONCLUSIONS: Women preferred both technical and process indicators of quality of care. DCE's can lead to the development of person-centered strategies that take into account the preferences of women to improve maternal and newborn health outcomes.

Assessing clinical quality performance and staffing capacity differences between urban and rural Health Resources and Services Administration-funded health centers in the United States: A cross sectional study.

BACKGROUND: In the United States, there are nearly 1,400 Health Resources and Services Administration-funded health centers (HCs) serving low-income and underserved populations and more than 600 of these HCs are located in rural areas. Disparities in quality of medical care in urban vs. rural areas exist but data on such differences between urban and rural HCs is limited in the literature. We examined whether urban and rural HCs differed in their performance on clinical quality measures before and after controlling for patient, organizational, and contextual characteristics. METHODS AND FINDINGS: We used the 2017 Uniform Data System to examine performance on clinical quality measures between urban and rural HCs (n = 1,373). We used generalized linear regression models with the logit link function and binomial distribution, controlling for confounding factors. After adjusting for potential confounders, we found on par performance between urban and rural HCs in all but one clinical quality measure. Rural HCs had lower rates of linking patients newly diagnosed with HIV to care (74% [95% CI: 69%, 80%] vs. 83% [95% CI: 80%, 86%]). We identified control variables that systematically accounted for eliminating urban vs. rural differences in performance on clinical quality measures. We also found that both urban and rural HCs had some clinical quality performance measures that were lower than available national benchmarks. Main limitations included potential discrepancy of urban or rural designation across all HC sites within a HC organization. CONCLUSIONS: Findings highlight HCs' contributions in addressing rural disparities in quality of care and identify opportunities for improvement. Performance in both rural and urban HCs may be improved by supporting programs that increase the availability of providers, training, and provision of technical resources.

Do health insurances reduce catastrophic health expenditure in China? A systematic evidence synthesis.

OBJECTIVE: To examine the association of health insurances on catastrophic health expenditure (CHE), and compares that among different health insurances in the last two decades in China. METHODS: The systematic review was conducted according to the Cochrane Handbook and reported according to PRISMA. We searched English and Chinese literature databases including PubMed, EM base, web of science, CNKI, Wan fang, VIP and CBM (Sino Med) for empirical studies on the association between health insurance and CHE from January 2000 to June 2020. Study selection, data extraction and quality appraisal were conducted by two reviewers. The secular trend of CHE rate and comparisons between population with different health insurances were conducted using meta-analysis, subgroup analysis and meta-regression. RESULTS: A total of 4874 citations were obtained, and finally 30 eligible studies with 633917 participants were included. The overall CHE rate was 13.6% (95% CI: 13.1% - 14.0%) from Jan 2000 to June 2020, 12.8% (95% CI: 12.2% - 13.3%) for people with health insurance compared with 16.2% (95% CI:15.4% - 16.9%) for people without health insurance. For types of insurance, the CHE rate was 13.0% (95% CI: 12.4% - 13.6%) for people with new rural cooperative medical scheme (NCMS), 11.9% (95% CI: 9.3% - 14.5%) for urban employees health insurance (UEBMI), 12.0% (95% CI: 8.3% - 15.6%) for urban residents health insurance (URBMI), and 18.0% (95% CI: - 4.5% - 31.5%) for commercial insurance. However, the CHE rate in China has increased in the past 20 years, even adjusted for other factors. The CHE rate of people with NCMS has increased significantly more than people with UEBMI and URBMI. CONCLUSION: In the past 20 years, the basic health insurance plan has reduce the rate of CHE to a certain extent, but due to the rapid increase in medical costs and the release of health needs in recent years, it masks the role of health insurance. More efforts are needed to control unreasonable medical demand and rising costs.

Funding and Service Delivery in Rural and Urban Local US Health Departments in 2010 and 2016.

Objectives. To investigate differences in funding and service delivery between rural and urban local health departments (LHDs) in the United States.Methods. In this repeated cross-sectional study, we examined rural-urban differences in funding and service provision among LHDs over time using 2010 and 2016 National Association of County and City Health Officials data.Results. Local revenue among urban LHDs (41.2%) was higher than that in large rural (31.3%) and small rural LHDs (31.2%; P < .05). Small (20.9%) and large rural LHDs (19.8%) reported greater reliance on revenue from Center for Medicare and Medicaid Services than urban LHDs (11.5%; P < .05). All experienced decreases in clinical revenue between 2010 and 2016. Urban LHDs provided less primary care services in 2016; rural LHDs provided more mental health and substance abuse services (P < .05).Conclusions. Urban LHDs generated more revenues from local sources, and rural LHDs generated more from the Center for Medicare and Medicaid Services and clinical services. Rural LHDs tended to provide more clinical services. Given rural LHDs' reliance on clinical revenue, decreases in clinical services could have disproportionate effects on them.Public Health Implications. Differences in financing and service delivery by rurality have an impact on the communities. Rural LHDs rely more heavily on state and federal dollars, which are vulnerable to changes in state and national health policy.

Healthcare seeking for chronic illness among adult slum dwellers in Bangladesh: A descriptive cross-sectional study in two urban settings.

INTRODUCTION: Accompanying rapid urbanization in Bangladesh are inequities in health and healthcare which are most visibly manifested in slums or low-income settlements. This study examines socioeconomic, demographic and geographic patterns of self-reported chronic illness and healthcare seeking among adult slum dwellers in Bangladesh. Understanding these patterns is critical in designing more equitable urban health systems and in enabling the country's goal of Universal Health Coverage by 2030. METHODS: This descriptive cross-sectional study compares survey data from slum settlements located in two urban sites in Bangladesh, Tongi and Sylhet. Reported chronic illness symptoms and associated healthcare-seeking strategies are compared, and the catastrophic impact of household healthcare expenditures are assessed. RESULTS: Significant differences in healthcare-seeking for chronic illness were apparent both within and between slum settlements related to sex, wealth score (PPI), and location. Women were more likely to use private clinics than men. Compared to poorer residents, those from wealthier households sought care to a greater extent in private clinics, while poorer households relied more on drug shops and public hospitals. Chronic symptoms also differed. A greater prevalence of musculoskeletal, respiratory, digestive and neurological symptoms was reported among those with lower PPIs. In both slum sites, reliance on the private healthcare market was widespread, but greater in industrialized Tongi. Tongi also experienced a higher probability of catastrophic expenditure than Sylhet. CONCLUSIONS: Study results point to the value of understanding context-specific health-seeking patterns for chronic illness when designing delivery strategies to address the growing burden of NCDs in slum environments. Slums are complex social and geographic entities and cannot be generalized. Priority attention should be focused on developing chronic care services that meet the needs of the working poor in terms of proximity, opening hours, quality, and cost.

Health-care investments for the urban populations, Bangladesh and India.

OBJECTIVE: To estimate the costs and mortality reductions of a package of essential health interventions for urban populations in Bangladesh and India. METHODS: We used population data from the countries' censuses and United Nations Population Division. For causes of mortality in India, we used the Indian Million Death Study. We obtained cost estimates of each intervention from the third edition of Disease control priorities. For estimating the mortality reductions expected with the package, we used the Disease control priorities model. We calculated the benefit-cost ratio for investing in the package, using an analysis based on the Copenhagen Consensus method. FINDINGS: Per urban inhabitant, total costs for the package would be 75.1 United States dollars (US$) in Bangladesh and US$ 105.0 in India. Of this, prevention and treatment of noncommunicable diseases account for US$ 36.5 in Bangladesh and U$ 51.7 in India. The incremental cost per urban inhabitant for all interventions would be US$ 50 in Bangladesh and US$ 75 in India. In 2030, the averted deaths among people younger than 70 years would constitute 30.5% (1027/3362) and 21.2% (828/3913) of the estimated baseline deaths in Bangladesh and India, respectively. The health benefits of investing in the package would return US$ 1.2 per dollar spent in Bangladesh and US$ 1.8 per dollar spent in India. CONCLUSION: Investing in the package of essential health interventions, which address health-care needs of the growing urban population in Bangladesh and India, seems beneficial and could help the countries to achieve their 2030 sustainable development goals.

[A deprivation index to reform the financing model of primary care in Catalonia (Spain)]. / Un índice de privación para reformar el modelo de financiación de la atención primaria en Cataluña.

OBJECTIVE: To build a deprivation index for the assignation of the budgets of the primary healthcare teams in Catalonia (Spain) valid for both urban and rural environments and updatable with greater frequency than indices built from census variables. METHOD: Starting from a review of the most common deprivation indices, variables were selected from sources that allow frequent updating and are representative at the territorial level of primary care. The correlations were calculated between the chosen variables and variables of need for healthcare and morbidity. principal components analysis was applied. Finally, the correlations of the index built with the MEDEA index and with variables of use of healthcare resources and morbidity was calculated stratifying by geographical dispersion. RESULTS: The variables of income, occupation and education are the ones with the highest correlation with the need for healthcare and morbidity. The composed socioeconomic index (CSI) ranges from -.01 to 5.68, with an average value of 2.60 and a standard deviation of .91. The correlation between the CSI and the MEDEA index is .89. The CSI correlates with use for healthcare in both urban and rural environments, although in rural environments the association is lower. CONCLUSIONS: The CSI was built with data that allow frequent updating and was integrated in the model for allocating resources to primary healthcare starting in 2017.

Location, location, location: Utilizing Needs-Based Assessment of Trauma Systems-2 in trauma system planning.

BACKGROUND: In 2015, the American College of Surgeons Committee on Trauma introduced the Needs-Based Assessment of Trauma Systems (NBATS) tool to quantify the optimal number of trauma centers for a region. While useful, more focus was required on injury population, distribution, and transportation systems. Therefore, NBATS-2 was developed utilizing advanced geographical modeling. The purpose of this study was to evaluate NBATS-2 in a large regional trauma system. METHODS: Data from all injured patients from 2016 to 2017 with an Injury Severity Score greater than 15 was collected from the trauma registry of the existing (legacy) center. Injury location and demographics were analyzed by zip code. A regional map was built using US census data to include hospital and population demographic data by zip code. Spatial modeling was conducted using ArcGIS to estimate an area within a 45-minute drive to a trauma center. RESULTS: A total of 1,795 severely injured patients were identified across 54 counties in the tri-state region. Forty-eight percent of the population and 58% of the injuries were within a 45-minute drive of the legacy trauma center. With the addition of another urban center, injured and total population coverage increased by only 1% while decreasing the volume to the existing center by 40%. However, the addition of two rural trauma centers increased coverage significantly to 62% of the population and 71% of the injured (p < 0.001). The volume of the legacy center was decreased by 25%, but the self-pay rate increased by 16%. CONCLUSION: The geospatial modeling of NBATS-2 adds a new dimension to trauma system planning. This study demonstrates how geospatial modeling applied in a practical tool can be incorporated into trauma system planning at the local level and used to assess changes in population and injury coverage within a region, as well as potential volume and financial implications to a current system. LEVEL OF EVIDENCE: Care management/economic, level V.

The quality of life and inequalities in health services for epilepsy treatment among patience in the urban cities of Sudan.

Epilepsy in Sudan accounts for 1.6 annual mortality rates and 238.7 disability adjusted life years per 100 000. These figures are higher among females; children and young adults. It is associated with notable stigma and social burdens. Patients of epilepsy are subjected to various forms of social discrimination that affect their quality of life. They are isolated, neglected and deprived of their education and employments rights and not able to achieve normal social and family life. Aiming at highlighting social implications of epilepsy among Sudanese patients, this study found that social encumbrances due to epilepsy in Sudan are more prevalent among highly vulnerable groups like women, children and poor populations living in remote areas. Lack of trained medical personnel in neurology and the medical equipment's required for proper diagnosis and treatment of epilepsy in Sudan are key reasons aggravating social and health burden of epilepsy both among patients and their caregivers.

The comparison of healthcare utilization inequity between URRBMI and NCMS in rural China.

BACKGROUND: The inequity of healthcare utilization in rural China is serious, and the urban-rural segmentation of the medical insurance system intensifies this problem. To guarantee that the rural population enjoys the same medical insurance benefits, China began to establish Urban and Rural Resident Basic Medical Insurance (URRBMI) nationwide in 2016. Against this backdrop, this paper aims to compare the healthcare utilization inequity between URRBMI and New Cooperative Medical Schemes (NCMS) and to analyze whether the inequity is reduced under URRBMI in rural China. METHODS: Using the data from a national representative survey, the China Health and Retirement Longitudinal Study (CHARLS), which was conducted in 2015, a binary logistic regression model was applied to analyze the influence of income on healthcare utilization, and the decomposition of the concentration index was adopted to compare the Horizontal inequity index (HI index) of healthcare utilization among the individuals insured by URRBMI and NCMS. RESULTS: There is no statistically significant difference in healthcare utilization between URRBMI and NCMS, but in outpatient utilization, there are significant differences among different income groups in NCMS; high-income groups utilize more outpatient care. The Horizontal inequity indexes (HI indexes) in outpatient utilization for individuals insured by URRBMI and NCMS are 0.024 and 0.012, respectively, indicating a pro-rich inequity. Meanwhile, the HI indexes in inpatient utilization under the two groups are - 0.043 and - 0.028, respectively, meaning a pro-poor inequity. For both the outpatient and inpatient care, the inequity degree of URRBMI is larger than that of NCMS. CONCLUSIONS: This paper shows that inequity still exists in rural areas after the integration of urban-rural medical insurance schemes, and there is still a certain gap between the actual and the expected goal of URRBMI. Specifically, compared to NCMS, the pro-rich inequity in outpatient care and the pro-poor inequity in inpatient care are more serious in URRBMI. More chronic diseases should be covered and moral hazard should be avoided in URRBMI. For the vulnerable groups, special policies such as reducing the deductible and covering these groups with catastrophic medical insurance could be considered.

End-of-life cost and its determinants for cancer patients in urban China: a population-based retrospective study.

OBJECTIVE: This study aimed to define the end-of-life (EOL) healthcare utilisation and its cost and determinants for cancer patients and to proactively inform related strategies in mainland China. DESIGN: A population-based retrospective study. SETTING AND PARTICIPANTS: Data from 894 cancer patients were collected in urban Yichang, China from 01 July 2015 to 30 June 2017. OUTCOME MEASURES: Emergency department (ED) visits, outpatient and inpatient hospitalisation services, intensive care unit (ICU) admission and total costs were used as the main outcomes. RESULTS: In this study, 66.8% of the 894 patients were male, and the average age was 60.4 years. Among these patients, 37.6% died at home, and patients had an average of 4.86 outpatient services, 2.23 inpatient hospitalisation services and 1.44 ED visits. Additionally, 5.9% of these patients visited the ICU at least once. During the EOL periods, the costs in the last 6 months, 3 months, 1 month and 1 week were US$18 234, US$13 043, US$6349 and US$2085, respectively. The cost increased dramatically as death approached. The estimation results of generalised linear regression models showed that aggressive care substantially affected expenditure. Patients with Urban Employee Basic Medical Insurance spent more than those with Urban Resident-based Basic Medical Insurance or the New Rural Cooperative Medical Scheme. The place of death and the survival time are also risk factors for increased EOL cost. CONCLUSION: The findings suggested that the EOL cost for cancer patients is associated with aggressive care, insurance type and survival time. Timing palliative care is urgently needed to address ineffective and irrational healthcare utilisation and to reduce costs. ETHICS AND DISSEMINATION: This study was approved by the Ethics Committee of the Tongji Medical College, Huazhong University of Science and Technology (IORG No.: IORG0003571). All the data used in this study were de-identified.

Claims Variability in Charges and Payments for Common Open and Endovascular Procedures.

BACKGROUND: Cost-effectiveness in healthcare is being increasingly scrutinized. Data regarding claims variability for vascular operations are lacking. Herein, we aim to describe variability in charges and payments for aortoiliac (AI) and infrainguinal (II) revascularizations. METHODS: We analyzed 2012-2014 claims data from a statewide claims database for procedures grouped by Current Procedural Terminology codes into II-open (II-O), II-endovascular (II-E), AI-open (AI-O), and AI-endovascular interventions (AI-E). We compared charges and payments in urban (≥50,000 people, UAs) versus rural areas (<50,000 people, RAs). Amounts are reported in $US as median with interquartile range. Cost-to-charge ratios (CCRs) as a measure of reimbursement were calculated as the percentage of the charges covered by the payments. Wilcoxon rank-sum tests were performed to determine significant differences. RESULTS: A total of 5,239 persons had complete claims data. There were 7,239 UA and 6,891 RA claims, and 1,057 AI claims (AI-E = 879, AI-O = 178) and 4,182 II claims (II-E = 3,012, II-0 = 1,170). Median charges were $5,357 for AI [$1,846-$27,107] and $2,955 for II [$1,484-$9,338.5] (P < 0.0001). Median plan payment was $454 for AI [$0-$1,380] and $454 for II [$54-$1,060] (P = 0.67). For AI and II, charges were significantly higher for UA than RA (AI: UA $9,875 [$2,489-$34,427], RA $3,732 [$1,450-$20,595], P < 0.0001; II: UA $3,596 [$1,700-$21,664], RA $2,534 [$1,298-$6,169], P < 0.0001). AI-E charges were higher than AI-O (AI-E $7,960 [$1,699-$32,507], AI-O $4,774 [$2,636-$7,147], P < 0.0001), but AI-O payments were higher (AI-E $424 [$0-$1,270], AI-O $869 [$164-$1,435], P = 0.0067). II-E charges were higher (II-E $2,994 [$1,552-$22,164], II-O $2,873 [$1,108-$5,345], P < 0.0001), but II-O payments were higher (II-E $427 [$50-$907], II-O $596 [$73-$1,299], P < 0.0001). CCRs were highest for II operations and UAs. CONCLUSIONS: Wide variability in claim charges and payments exists for vascular operations. AI procedures had higher charges than II, without any difference in payments. UA charged more than RA for both AI and II operations, but RA had higher payments and CCRs. Endovascular procedures had higher charges, while open procedures had higher payments. Charge differences may be related to endovascular device costs, and further research is necessary to determine the reasons behind consistent claims variability between UA and RA.

What effect do point of care fees have on childhood consultations in general practice?

BACKGROUND: General practice (GP) has historically been central to the prevention and treatment of childhood illnesses. In Ireland, this role has recently expanded with the introduction of free GP care for children aged under six years in 2015. The Republic of Ireland has the only health system in the European Union which does not offer universal coverage for primary care. This study aims to analyse general practice records to investigate the effect of point of care consultation fees on childhood attendances. METHODS: GPs affiliated to the medical school (n = 72) were invited to participate. 100 children aged 1 to 14 years were randomly sampled from each. Data was collected on service utilisation in the previous 12 months, specifically: age, gender, eligibility for free care and whether they had consulted their GP in the 12 month period. RESULTS: Sixty-four practices participated, producing data on 6007 eligible children. The median age of children was seven years; 3688(62%) were 'fee-paying'. GMS patients aged under six years had a median of three consultations/year, with a quarter attending six times a year or more, while fee paying patients had a median of two consultations/year with a quarter attending four times a year or more. CONCLUSIONS: Children eligible for free care attend more often with a subgroup attending very frequently. This study provides important information on the possible impact of fees on healthcare utilisation for countries considering co-payment.

Practice Rurality of Family Physicians Enrolled in a Practice Transformation Network.

The Transforming Clinical Practice Initiative prioritized the delivery of free practice transformation assistance by Practice Transformation Networks (PTNs) to small and rural practices that may otherwise lack the resources needed to succeed in Medicare's value-based payment (VBP) programs. We assessed the enrollment of rural practices in PTNs using 2016 TCPI enrollment data and American Board of Family Medicine recertification examination registration data from 2013 to 2016. PTNs enrolled a higher proportion of rural family medicine practices than are represented across the general workforce (P < .0001). We await more comprehensive data releases to fully understand enrollment to this important initiative.