Clear as Mud? Federal Rule Will Mandate Hospitals to Post Prices on a Menu of Services.

From electronic health records to quality reporting, today's physicians deal with plenty of distractions from patient care. Starting in 2021, hospital-employed physicians may find themselves adding another one: explaining to patients the difference between their hospital's multiple published prices for the same service.

Management Strategies and Patient Selection After a Hospital Funding Reform for Prostate Cancer Surgery in Canada.

Importance: Hospital funding reforms for prostate cancer surgery may have altered management of localized prostate cancer in the province of Ontario, Canada. Objective: To determine whether changes in hospital funding policy aimed at improving health care quality and value were associated with changes in the management of localized prostate cancer or the characteristics of patients receiving radical prostatectomy (RP) for localized prostate cancer. Design, Setting, and Participants: This population-based, interrupted time series study used linked population-based administrative data regarding adults in Ontario with incidental localized prostate cancer and those who underwent RP for localized prostate cancer. Patients who underwent RP were compared with patients who underwent surgical procedures for localized renal cell carcinoma, which was not included in the policy change but was subjected to similar secular trends and potential confounders. Monthly outcomes were analyzed using interventional autoregressive integrated moving average models. Data were collected from January 2011 to November 2017 and analyzed in January 2019. Exposures: Funding policy change in April 2015 from flexible block funding for all hospital-based care to prespecified payment amounts per procedure for treatment of localized prostate cancer, coupled with the dissemination of a diagnosis-specific handbook outlining best practices. Main Outcomes and Measures: Initial management (RP vs radiation therapy vs active surveillance) and tumor risk profiles per management strategy among incident cases of localized prostate cancer. Additional outcomes were case volume, mean length of stay, proportion of patients returning to hospital or emergency department within 30 days, proportion of patients older than 65 years, mean Charlson Comorbidity Index, and proportion of minimally invasive surgical procedures among patients undergoing RP for localized prostate cancer. Results: A total of 33 128 patients with incident localized prostate cancer (median [interquartile range (IQR)] age, 67 [61-73] years; median [IQR] cases per monthly observation interval, 466 [420-516]), 17 159 patients who received radical prostatectomy (median [IQR] age, 63 [58-68] years; median [IQR] cases per monthly observation interval, 209 [183-225]), and 5762 individuals who underwent surgery for renal cell carcinoma (median [IQR] age, 62 [53-70] years; median [IQR] cases per monthly observation interval, 71 [61-77]) were identified. By the end of the observation period, radical prostatectomy and radiation therapy were used in comparable proportions (30.3% and 28.9%, respectively) and included only a small fraction of low-risk patients (6.4% and 2.9%, respectively). No statistically significant association of the funding policy change with most outcomes was found. Conclusions and Relevance: The implementation of funding reform for hospitals offering RP was not associated with changes in the management of localized prostate cancer, although it may have encouraged more appropriate selection of patients for RP. Mostly preexisting trends toward guideline-conforming practice were observed. Co-occurring policy changes and/or guideline revisions may have weakened signals from the policy change.

Association of the New Peer Group-Stratified Method With the Reclassification of Penalty Status in the Hospital Readmission Reduction Program.

Importance: Since the introduction of the Hospital Readmission Reduction Program (HRRP), readmission penalties have been applied disproportionately to institutions that serve low-income populations. To address this concern, the US Centers for Medicare & Medicaid introduced a new, stratified payment adjustment method in fiscal year (FY; October 1 to September 30) 2019. Objective: To determine whether the introduction of a new, stratified payment adjustment method was associated with an alteration in the distribution of penalties among hospitals included in the HRRP. Design, Setting, and Participants: In this retrospective cross-sectional study, US hospitals included in the HRRP for FY 2018 and FY 2019 were identified. Penalty status of participating hospitals for FY 2019 was determined based on nonstratified HRRP methods and the new, stratified payment adjustment method. Hospitals caring for the highest proportion of patients enrolled in both Medicare and Medicaid based on quintile were assigned to the low-socioeconomic status (SES) group. Exposures: Nonstratified and stratified Centers for Medicare & Medicaid payment adjustment methods. Main Outcomes and Measures: Net reclassification of penalties among all hospitals and hospitals in the low-SES group, in states participating in Medicaid expansion, and for 4 targeted medical conditions (acute myocardial infarction, heart failure, chronic obstructive pulmonary disease, and pneumonia). Results: Penalty status by both payment adjustment methods (nonstratified and stratified) was available for 3173 hospitals. For FY 2019, the new, stratified payment method was associated with penalties for 75.04% of hospitals (2381 of 3173), while the old, nonstratified method was associated with penalties for 79.07% (2509 hospitals), resulting in a net down-classification in penalty status for all hospitals by 4.03 percentage points (95% CI, 2.95-5.11; P < .001). For the 634 low-SES hospitals in the sample, the new method was associated with penalties for 77.60% of hospitals (492 of 634), while the old method was associated with penalties for 91.64% (581 hospitals), resulting in a net down-classification in penalty status of 14.04 percentage points (95% CI, 11.18-16.90; P < .001). Among hospitals that were not low SES (quintiles 1-4), the new payment method was associated with a small decrease in penalty status (1928 vs 1889; net down-classification, 1.54 percentage points; 95% CI, 0.38-2.69; P = .01). Among target medical conditions, the greatest reduction in penalties was observed among cardiovascular conditions (net down-classification, 6.18 percentage points; 95% CI, 4.96-7.39; P < .001). Conclusions and Relevance: The new, stratified payment adjustment method for the HRRP was associated with a reduction in penalties across hospitals included in the program; the greatest reductions were observed among hospitals in the low-SES group, lessening but not eliminating the previously unbalanced penalty burden carried by these hospitals. Additional public policy research efforts are needed to achieve equitable payment adjustment models for all hospitals.

Hospital production cost of transcranial direct current stimulation (tDCS) in the treatment of depression.

OBJECTIVES: Due to its ease of use, tolerance, and cost of acquisition, transcranial direct current stimulation (tDCS) could constitute a credible therapeutic option for non-resistant depression in primary care, when combined with drug management. This indication has yet to receive official recognition in France. The objective of this study is to evaluate the production cost of tDCS for the treatment of depression in hospitals, under realistic conditions. METHODS: The methodology adopted is based on cost accounting and was validated by a multidisciplinary working group. It includes equipment, staff, and structural costs to obtain the most realistic estimate possible. We first estimated the cost of producing a tDCS session, based on our annual activity objective, and then estimated the cost of a 15-session treatment program. This was followed up with a sensitivity analysis applying appropriate parameters. RESULTS: The hospital production cost of a tDCS depression treatment program for a single patient was estimated at €1555.60 euros: €99 in equipment costs, €1076.95 in staff costs, and €379.65 in structural costs. CONCLUSION: This cost analysis should make it possible to draw up pricing proposals in compliance with regulations and health policy choices and to develop health-economic studies. This would ultimately lead to official recognition of tDCS treatment for depression in France and pave the way for studying various scenarios of coverage by the French national health insurance system.

The Impact of IRS Tax Policy on Hospital Community Benefit Activities.

The Internal Revenue Service (IRS) recently introduced tax code revisions requiring stricter oversight of community benefit activities (CBAs) conducted by tax-exempt, not-for-profit hospitals. We examine the impact of this tax requirement on CBAs among these hospitals relative to for-profit and government hospitals that were not subject to the new policy. We employed a quasi-experimental, difference-in-difference study design using a longitudinal observational approach and used secondary data collected by the American Hospital Association (years 2006-2010 including 20,538 hospital year observations). Findings show a significant increase in the reporting of 7 of the 13 CBAs among tax-exempt, not-for-profit hospitals compared with other hospitals after the policy change. Examples include partnering to conduct community health assessments ( b = 0.035, p = .002) and using capacity assessments to identify unmet community health needs ( b = 0.041, p = .001). Recent tax revisions are associated with increases in reported CBAs among tax-exempt, not-for-profit hospitals. As the debate continues regarding tax exemption status for not-for-profit hospitals, policy makers should expand efforts for enhanced accountability.

Medicare Program; Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long-Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year 2019 Rates; Quality Reporting Requirements for Specific Providers; Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs (Promoting Interoperability Programs) Requirements for Eligible Hospitals, Critical Access Hospitals, and Eligible Professionals; Medicare Cost Reporting Requirements; and Physician Certification and Recertification of Claims. Final rule.

We are revising the Medicare hospital inpatient prospective payment systems (IPPS) for operating and capital-related costs of acute care hospitals to implement changes arising from our continuing experience with these systems for FY 2019. Some of these changes implement certain statutory provisions contained in the 21st Century Cures Act and the Bipartisan Budget Act of 2018, and other legislation. We also are making changes relating to Medicare graduate medical education (GME) affiliation agreements for new urban teaching hospitals. In addition, we are providing the market basket update that will apply to the rate-of-increase limits for certain hospitals excluded from the IPPS that are paid on a reasonable cost basis, subject to these limits for FY 2019. We are updating the payment policies and the annual payment rates for the Medicare prospective payment system (PPS) for inpatient hospital services provided by long-term care hospitals (LTCHs) for FY 2019. In addition, we are establishing new requirements or revising existing requirements for quality reporting by specific Medicare providers (acute care hospitals, PPS-exempt cancer hospitals, and LTCHs). We also are establishing new requirements or revising existing requirements for eligible professionals (EPs), eligible hospitals, and critical access hospitals (CAHs) participating in the Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs (now referred to as the Promoting Interoperability Programs). In addition, we are finalizing modifications to the requirements that apply to States operating Medicaid Promoting Interoperability Programs. We are updating policies for the Hospital Value-Based Purchasing (VBP) Program, the Hospital Readmissions Reduction Program, and the Hospital-Acquired Condition (HAC) Reduction Program. We also are making changes relating to the required supporting documentation for an acceptable Medicare cost report submission and the supporting information for physician certification and recertification of claims.

Medicare Program; Certain Changes to the Low-Volume Hospital Payment Adjustment Under the Hospital Inpatient Prospective Payment Systems (IPPS) for Acute Care Hospitals for Fiscal Years 2011 Through 2017. Application of a payment adjustment.

This document announces changes to the payment adjustment for low-volume hospitals under the hospital inpatient prospective payment systems (IPPS) for acute care hospitals for fiscal years (FYs) 2011 through 2017 in accordance with section 429 of the Consolidated Appropriations Act, 2018.

Comparing the Affordable Care Act's Financial Impact on Safety-Net Hospitals in States That Expanded Medicaid and Those That Did Not.

Issue: Safety-net hospitals play a vital role in delivering health care to Medicaid enrollees, the uninsured, and other vulnerable patients. By reducing the number of uninsured Americans, the Affordable Care Act (ACA) was also expected to lower these hospitals' significant uncompensated care costs and shore up their financial stability. Goal: To examine how the ACA's Medicaid expansion affected the financial status of safety-net hospitals in states that expanded Medicaid and in states that did not. Methods: Using Medicare hospital cost reports for federal fiscal years 2012 and 2015, the authors compared changes in Medicaid inpatient days as a percentage of total inpatient days, Medicaid revenues as a percentage of total net patient revenues, uncompensated care costs as a percentage of total operating costs, and hospital operating margins. Findings and Conclusions: Medicaid expansion had a significant, favorable financial impact on safety-net hospitals. From 2012 to 2015, safety-net hospitals in expansion states, compared to those in nonexpansion states, experienced larger increases in Medicaid inpatient days and Medicaid revenues as well as reduced uncompensated care costs. These changes improved operating margins for safety-net hospitals in expansion states. Margins for safety-net hospitals in nonexpansion states, meanwhile, declined.

Estudio del absentismo laboral de los celadores en un hospital de agudos / Work absenteeism of patient escort staff in an acute hospital

Introducción: El absentismo es un problema importante en la actualidad. Las bajas por enfermedad común no dejan de crecer y superaron en el año 2016 los 4,5 millones, produciendo unos perjuicios laborales y económicos de gran importancia. Objetivo: Estudio del absentismo laboral por causa de enfermedad o lesiones en la categoría de Celadores de un Hospital de Agudos, con el fin de identificar factores relacionados con este absentismo. Material y métodos: Estudio descriptivo. Se registró el absentismo laboral en 177 trabajadores con categoría celadores de un hospital de agudos durante el año 2015. Las variables analizadas fueron: número de Incapacidad Transistorias (I.T), periodos de I.T, sexo, edad, IMC, estado civil, número de hijos, practicar deportes, tipo de contrato, turno de trabajo, patologías, carga de trabajo, adaptación del puesto de trabajo por las patologías que padece, fecha de la Incapacidad Transitoria y días total de absentismo. Para el análisis estadístistico univariante se aplicó una χ2 en proporciones y la t-student en variables contínuas. Posteriormente se construyó un modelo mutivariante (Regresión Logística) cuya variable dependiente fue el absentismo. Resultados: Los días totales de baja fueron de 4425 días, lo que supone 33187.5 horas perdidas. La tasa de absentismo (T.A) por cada 100 horas trabajadas fue de 11.4 horas perdidas y la tasa general de absentismo (T.G.A.) fue de 25 jornadas perdidas por cada trabajador. Un 44.6 % del total de los trabajadores tuvieron una baja médica durante el año de estudio. Las variables relacionadas en el estudio univariante fueron el sexo, tener hijos, padecer patología osteomuscular u otras patologías, tener el puesto adaptado y el sobrepeso. En el modelo multivariante las variables significativas fueron padecer patología osteomuscular con una O.R. de 1.955 (0.982-3.89) y padecer Obesidad O.R. de 3.433 (1.372 - 8.590). Discusión: Las variables patología osteomuscular y obesidad, son las que mejor predicen el absentismo laboral en nuestra muestra. Se podrían obtener mejores datos en absentismo laboral si la institución mejorara la gestión de puestos de trabajo teniendo en cuenta la gran proporción de patología osteomuscular y se realizasen planes de promoción de la salud frente a la obesidad (AU)

Introduction: Absenteeism is a currently major problem. The sick leaves due to common illness continue to grow and exceeded 4.5 million in 2016, causing important labor and economic damages. Objective: Injuries or Illness work-related absenteeism in patient escort workers of an Acute Hospital in order to identify factors related with this absenteeism. Material and methods: Descriptive study. Along 2015 work absenteeism was registered in 177 patient escort workers from an Acute Hospital. The following variables were analyzed: number of temporary work disability and periods, sex, age, BMI, marital status, number of children, exercise, type of contract, work shift, pathologies, workload, adaptation of the workplace due to the pathologies suffered, date of Temporary Disability and total days of absenteeism. For univariate statistical analysis a chi-square (χ2) was applied in proportions and t-Student in continuous variables. Subsequently, a multivariate model was constructed (Logistic Regression) whose dependent variable was absenteeism. Results: The total days of leave were 4,425 days, which means a loss of 33,187,5 hours of work. The general rate of absenteeism per 100 hours worked was 11,4 hours lost and the general absenteeism rate was 25 days lost for each worker. 44,6% of the total workers took a medical leave during the year of study. The variables related in the univariate study were sex, having children or not, musculoskeletal or other pathology, post adjustment and overweight. In the multivariate model the significant variables were musculoskeletal pathology with an OR of 1,955 (0,982-3,89) and being obese OR of 3,433 (1,372 - 8,590). Discussion: Musculoskeletal pathology and obesity variables are the best predictors of work absenteeism in our sample. Better data could be obtained in work absenteeism if the Institution improves the job management taking into account the magnitude of musculoskeletal pathology and the health promotion programs on obesity were carried out (AU)

Medicare Program; Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long-Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year 2018 Rates; Quality Reporting Requirements for Specific Providers; Medicare and Medicaid Electronic Health Record (EHR) Incentive Program Requirements for Eligible Hospitals, Critical Access Hospitals, and Eligible Professionals; Provider-Based Status of Indian Health Service and Tribal Facilities and Organizations; Costs Reporting and Provider Requirements; Agreement Termination Notices. Final rule.

We are revising the Medicare hospital inpatient prospective payment systems (IPPS) for operating and capital-related costs of acute care hospitals to implement changes arising from our continuing experience with these systems for FY 2018. Some of these changes implement certain statutory provisions contained in the Pathway for Sustainable Growth Rate (SGR) Reform Act of 2013, the Improving Medicare Post-Acute Care Transformation Act of 2014, the Medicare Access and CHIP Reauthorization Act of 2015, the 21st Century Cures Act, and other legislation. We also are making changes relating to the provider-based status of Indian Health Service (IHS) and Tribal facilities and organizations and to the low-volume hospital payment adjustment for hospitals operated by the IHS or a Tribe. In addition, we are providing the market basket update that will apply to the rate-of-increase limits for certain hospitals excluded from the IPPS that are paid on a reasonable cost basis subject to these limits for FY 2018. We are updating the payment policies and the annual payment rates for the Medicare prospective payment system (PPS) for inpatient hospital services provided by long-term care hospitals (LTCHs) for FY 2018. In addition, we are establishing new requirements or revising existing requirements for quality reporting by specific Medicare providers (acute care hospitals, PPS-exempt cancer hospitals, LTCHs, and inpatient psychiatric facilities). We also are establishing new requirements or revising existing requirements for eligible professionals (EPs), eligible hospitals, and critical access hospitals (CAHs) participating in the Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs. We are updating policies relating to the Hospital Value-Based Purchasing (VBP) Program, the Hospital Readmissions Reduction Program, and the Hospital-Acquired Condition (HAC) Reduction Program. We also are making changes relating to transparency of accrediting organization survey reports and plans of correction of providers and suppliers; electronic signature and electronic submission of the Certification and Settlement Summary page of the Medicare cost reports; and clarification of provider disposal of assets.

The Impact of the ACA's Medicaid Expansion on Hospitals' Uncompensated Care Burden and the Potential Effects of Repeal.

ISSUE: By increasing health insurance coverage, the Affordable Care Act's Medicaid eligibility expansion was also expected to lessen the uncompensated care burden on hospitals. The expansion currently faces an uncertain future. GOAL: To compare the change in hospitals' uncompensated care burden in the 31 states (plus the District of Columbia) that chose to expand Medicaid to the changes in states that did not, and to estimate how these expenses would be affected by repeal or further expansion. METHODS: Analysis of uncompensated care data from Medicare Hospital Cost Reports from 2011 to 2015. FINDINGS AND CONCLUSIONS: Uncompensated care burdens fell sharply in expansion states between 2013 and 2015, from 3.9 percent to 2.3 percent of operating costs. Estimated savings across all hospitals in Medicaid expansion states totaled $6.2 billion. The largest reductions in uncompensated care were found for hospitals in expansion states that care for the highest proportion of low-income and uninsured patients. Legislation that scales back or eliminates Medicaid expansion is likely to expose these safety-net hospitals to large cost increases. Conversely, if the 19 states that chose not to expand Medicaid were to adopt expansion, their uncompensated care costs also would decrease by an estimated $6.2 billion.

Tracking rural hospital closures.

(1) Over 50 percent of primary care health professional shortage areas (HPSAs) were in rural areas in November 2016, according to the Health Resources and Services Administration. (2) Rural areas face a higher uninsured rate than metropolitan areas. (3) Rural hospitals tend to have low patient volume, a high portion of patients on Medicare and Medicaid, and a high number of uninsured patients.

Medicaid Program; Disproportionate Share Hospital Payments--Treatment of Third Party Payers in Calculating Uncompensated Care Costs. Final rule.

This final rule addresses the hospital-specific limitation on Medicaid disproportionate share hospital (DSH) payments under section 1923(g)(1)(A) of the Social Security Act (Act), and the application of such limitation in the annual DSH audits required under section 1923(j) of the Act, by clarifying that the hospital-specific DSH limit is based only on uncompensated care costs. Specifically, this rule makes explicit in the text of the regulation, an existing interpretation that uncompensated care costs include only those costs for Medicaid eligible individuals that remain after accounting for payments made to hospitals by or on behalf of Medicaid eligible individuals, including Medicare and other third party payments that compensate the hospitals for care furnished to such individuals. As a result, the hospital-specific limit calculation will reflect only the costs for Medicaid eligible individuals for which the hospital has not received payment from any source.