Sources of specialist physician fee variation: Evidence from Australian health insurance claims data.

This study explores the variation in specialist physician fees and examines whether the variation can be attributed to patient risk factors, variation between physicians, medical specialties, or other factors. We use health insurance claims data from a large private health insurer in Australia. Although Australia has a publicly funded health system that provides universal health coverage, about 44 % of the population holds private health insurance. Specialist physician fees in the private sector are unregulated; physicians can charge any price they want, subject to market forces. We examine the variation in fees using two price measures: total fees charged and out-of- pocket payments. We follow a two-stage method of removing the influence of patient risk factors by computing risk-adjusted prices at patient-level, and aggregating the adjusted prices over all claims made by each physician to arrive at physician-level average prices. In the second stage, we use variance-component models to analyse the variation in the physician-level average prices. We find that patient risk factors account for a small portion of the variance in fees and out-of-pocket payments. Physician-specific variation accounts for the bulk of the vari- ance. The results underscore the importance of understanding physician characteristics in formulating policy efforts to reduce fee variation.

Declining Inflation-Adjusted Medicare Physician Fees: An Unsustainable Trend in Hip Arthroscopy.

INTRODUCTION: Although hip arthroscopy continues to be one of the most used arthroscopic procedures, no focused, comprehensive evaluation of reimbursement trends has been conducted. The purpose of this study was to analyze the temporal Medicare reimbursement trends for hip arthroscopy procedures. METHODS: From 2011 to 2021, the Medicare Physician Fee Schedule Look-Up Tool was queried for Current Procedural Terminology (CPT) codes related to hip arthroscopy (29860 to 29863, 29914 to 29916). All monetary data were adjusted to 2021 US dollars. The compound annual growth rate and total percentage change were calculated. Mann-Kendall trend tests were used to evaluate the reimbursement trends. RESULTS: Based on the unadjusted values, a significant increase in physician fee was observed from 2011 to 2021 for CPT codes 29861 (removal of loose or foreign bodies; % change: 3.49, P = 0.03) and 29862 (chondroplasty, abrasion arthroplasty, labral resection; % change: 3.19, P = 0.03). The remaining CPT codes experienced no notable changes in reimbursement based on the unadjusted values. After adjusting for inflation, all seven of the hip arthroscopy CPT codes were observed to experience a notable decline in Medicare reimbursement. Hip arthroscopy with acetabuloplasty (CPT: 29915) and labral repair (CPT: 29916) exhibited the greatest reduction in reimbursement with a decrease in physician fee of 24.69% ( P < 0.001) and 24.64% ( P < 0.001), respectively, over the study period. DISCUSSION: Medicare reimbursement for all seven of the commonly used hip arthroscopy services did not keep up with inflation, demonstrating marked reductions from 2011 to 2021. Specifically, the inflation-adjusted reimbursements decreased between 19.23% and 24.69% between 2011 and 2021.

Comparisons of in-hospital fee and surgical outcomes between robot-assisted, laparoscopic, and open radical cystectomy: a Japanese nationwide study.

OBJECTIVE: To evaluate in-hospital fees and surgical outcomes of robot-assisted radical cystectomy (RARC), laparoscopic radical cystectomy (LRC) and open radical cystectomy (ORC) using a Japanese nationwide database. METHODS: All data were obtained from the Diagnosis Procedure Combination database between April 2020 and March 2022. Basic characteristics and perioperative indicators, including in-hospital fees, were compared among the RARC, LRC and ORC groups. Propensity score-matched comparisons were performed to assess the differences between RARC and ORC. RESULTS: During the study period, 2931, 1311 and 2435 cases of RARC, LRC and ORC were identified, respectively. The RARC group had the lowest in-hospital fee (median: 2.38 million yen), the shortest hospital stay (26 days) and the lowest blood transfusion rate (29.5%), as well as the lowest complication rate (20.9%), despite having the longest anesthesia time (569 min) among the three groups (all P < 0.01). The outcomes of LRC were comparable with those of RARC, and the differences in these indicators between the RARC and ORC groups were greater than those between the RARC and LRC groups. In propensity score-matched comparisons between the RARC and ORC groups, the differences in the indicators remained significant (all P < 0.01), with an ~50 000 yen difference in in-hospital fees. CONCLUSIONS: RARC and LRC were considered to be more cost-effective surgeries than ORC due to their superior surgical outcomes and comparable surgical fees in Japan. The widespread adoption of RARC and LRC is expected to bring economic benefits to Japanese society.

Long-term trends in international medical electives fees: a database mining study.

BACKGROUND: Abroad medical electives are recognized as high-impact practice and considered a necessity to provide global health training. As of recently, the COVID-19 pandemic and its related travel restrictions prohibited most international elective activities. Another important barrier to abroad electives that received comparably little attention is elective and application fees, which - combined - may be as high as $5000 per month, and may prevent students with limited financial resources from applying for an international elective. Elective fees have never been systematically analyzed and trends in teaching and application fees have rarely been subject to dedicated scientific investigations. METHODS: Using data from two large elective reports databases, the authors addressed this gap in the literature. The authors analyzed trends in abroad elective fees within the last 15 years in some of the most popular Anglo-American elective destinations among students from Germany, including the United States of America, Australia, New Zealand, the Republic of South Africa, Ireland and the United Kingdom. RESULTS: The authors identified n = 726 overseas elective reports that were uploaded between 2006 and 2020, of which n = 438 testimonies met the inclusion criteria. The United Kingdom and Australia were the most popular elective destinations (n = 123 and n = 113, respectively), followed by the Republic of South Africa (n = 104) and the United States of America (n = 44). Elective fees differed substantially-depending on the elective destinations and time point. Median elective fees were highest in the United States of America (€ 1875 for a 4-week elective between 2018-2020), followed by the Republic of South Africa (€ 400) and Australia (€ 378). The data also suggests an increasing trend for elective fees, particularly in the United States. CONCLUSIONS: Rising fees warrant consideration and a discussion about the feasibility of reciprocity and the bidirectional flow of students in bidirectional exchange programs.

Physician responses to insurance benefit restrictions: The case of ophthalmology.

This study examines the impact of social insurance benefit restrictions on physician behaviour, using ophthalmologists as a case study. We examine whether ophthalmologists use their market power to alter their fees and rebates across services to compensate for potential policy-induced income losses. The results show that ophthalmologists substantially reduced their fees and rebates for services directly targeted by the benefit restriction compared to other medical specialists' fees and rebates. There is also some evidence that they increased their fees for services that were not targeted. High-fee charging ophthalmologists exhibited larger fee and rebate responses while the low-fee charging group raise their rebates to match the reference price provided by the policy environment.

Agent-Based Modeling and Simulation (ABMS)on the influence of adjusting medical service fees on patients' choice of medical treatment.

BACKGROUND: We explored the impact of medical service fee adjustments on the choice of medical treatment for hypertensive patients in Beijing. We hope to provide decision-making reference to promote the realization of hierarchical diagnosis and treatment in Beijing. METHODS: According to the framework of modeling simulation research and based on the data of residents and medical institutions in Beijing, we designed three models of residents model, disease model and hospital model respectively. We then constructed a state map of patients' selection of medical treatment and adjusted the medical service fee to observe outpatient selection behaviors of hypertensive patients at different levels of hospitals and to find the optimal decision-making plan. RESULTS: The simulation results show that the adjustment of medical service fees can affect the proportion of patients seeking medical treatment in primary and tertiary hospitals to a certain extent, but has little effect on the proportion of patients receiving medical treatment in secondary hospitals. CONCLUSIONS: Beijing can make adjustments of the current medical service fees by reducing fees in primary hospitals and slightly increasing fees in tertiary hospitals, and in this way could increase the number of patients with hypertension in the primary hospitals.

Effectiveness of medical fee revisions for psychotropic polypharmacy in patients with mood disorders in Japan: An interrupted time-series analysis using a nationwide inpatient database.

BACKGROUND: This study aimed to evaluate the effects of medical fee revisions aimed to reduce psychotropic polypharmacy in Japan on the proportion of psychotropic polypharmacy in discharge prescriptions for patients with major depressive disorder (MDD) or bipolar disorder (BD) using a nationwide inpatient database. METHODS: In this retrospective cohort study, we used the Diagnosis Procedure Combination database to identify patients with MDD or BD discharged between April 2012 and March 2021. We targeted medical fee revisions in October 2014, April 2016, and April 2018. The major outcome was the monthly proportion of psychotropic polypharmacy in prescription at discharge using the criteria following the April 2018 revision (antidepressants ≥3, antipsychotics ≥3, anxiolytics ≥3, hypnotics ≥3, or sum of anxiolytics and hypnotics ≥4). We performed interrupted time series analyses to evaluate the changes in level and trend between pre- and post-revisions. RESULTS: We identified 63,289 and 33,780 patients with MDD and BD respectively in the entire study period. In both the patient groups, there were significant decreases in the proportion of psychotropic polypharmacy at revision in October 2014, and no significant trend and level change at revision were observed in April 2016 and April 2018, with a few exceptions. CONCLUSIONS: The medical fee revisions aimed to reduce psychotropic polypharmacy in Japan might have had a limited impact on discharge prescriptions for patients with MDD and BD.

Client Service Receipt Inventory as a standardised tool for measurement of socio-economic costs in the rare genetic disease population (CSRI-Ra).

The measurement of costs is fundamental in healthcare decision-making, but it is often challenging. In particular, standardised methods have not been developed in the rare genetic disease population. A reliable and valid tool is critical for research to be locally meaningful yet internationally comparable. Herein, we sought to develop, contextualise, translate, and validate the Client Service Receipt Inventory for the RAre disease population (CSRI-Ra) to be used in cost-of-illness studies and economic evaluations for healthcare planning. Through expert panel discussions and focus group meetings involving 17 rare disease patients, carers, and healthcare and social care professionals from Hong Kong, we have developed the CSRI-Ra. Rounds of forward and backward translations were performed by bilingual researchers, and face validity and semantic equivalence were achieved through interviews and telephone communications with focus group participants and an additional of 13 healthcare professional and university students. Intra-class correlation coefficient (ICC) was used to assess criterion validity between CSRI-Ra and electronic patient record in a sample of 94 rare disease patients and carers, with overall ICC being 0.69 (95% CI 0.56-0.78), indicating moderate to good agreement. Following rounds of revision in the development, contextualisation, translation, and validation stages, the CSRI-Ra is ready for use in empirical research. The CSRI-Ra provides a sufficiently standardised yet adaptable method for collecting socio-economic data related to rare genetic diseases. This is important for near-term and long-term monitoring of the resource consequences of rare diseases, and it provides a tool for use in economic evaluations in the future, thereby helping to inform planning for efficient and effective healthcare. Adaptation of the CSRI-Ra to other populations would facilitate international research.

Financial Estimation of the Uncertainty in Medicine Using Present Value of Medical Fees and a Mortality Risk Prediction Model: a Retrospective Cohort Study.

This study aimed to develop a method to enable the financial estimation of each patient's uncertainty without focusing on healthcare technology. We define financial uncertainty (FU) as the difference between an actual amount of claim (AC) and the discounted present value of the AC (DAC). DAC can be calculated based on a discounted present value calculated using a cash flow, a period of investment, and a discount rate. The present study considered these three items as AC, the length of hospital stay, and the predicted mortality rate. The mortality prediction model was built using typical data items in standard level electronic medical records such as sex, age, and disease information. The performance of the prediction model was moderate because an area under curve was approximately 85%. The empirical analysis primarily compares the FU of the top 20 diseases with the actual AC using a retrospective cohort in the University of Miyazaki Hospital. The observational period is 5 years, from April 1, 2013, to March 31, 2018. The analysis demonstrates that the proportion of FU to actual AC is higher than 20% in low-weight children, patients with leukemia, brain tumor, myeloid leukemia, or non-Hodgkin's lymphoma. For these diseases, patients cannot avoid long hospitalization; therefore, the medical fee payment system should be designed based on uncertainty. Our method is both practical and generalizable because it uses a small number of data items that are required in standard electronic medical records. This method contributes to the decision-making processes of health policymakers.