Maryland's Global Budget Revenue Payment Model and Shifts in the Surgical Site of Care Among Medicare Beneficiaries.

OBJECTIVE: To assess the association between the Global Budget Revenue (GBR) payment model and shifts to the outpatient setting for surgical procedures among Medicare fee-for-service beneficiaries in Maryland versus control states. SUMMARY BACKGROUND DATA: The GBR model provides fixed global payments to hospitals to reduce spending growth and incentivize hospitals to reduce the costs of care while improving care quality. Since surgical care is a major contributor to hospital spending, the GBR model might accelerate the ongoing shift from the inpatient to the outpatient setting to generate additional savings. METHODS: A difference-in-differences (DiD) design was used to compare changes in surgical care settings over time from pre-GBR (2011-2013) to post-GBR (2014-2018) for Maryland versus control states for common surgeries that could be performed in the outpatient setting. A cross-sectional approach was used to compare the difference in care settings in 2018 for total knee arthroplasty which was on Medicare's Inpatient-Only List before then. RESULTS: We studied 47,542 surgical procedures from 44,410 beneficiaries in Maryland and control states. GBR's 2014 implementation was associated with an acceleration in the shift from inpatient to outpatient settings for surgical procedures in Maryland (DiD: 3.9 percentage points, 95% CI: 2.3, 5.4). Among patients undergoing total knee arthroplasty in 2018, the proportion of outpatient surgeries in Maryland was substantially higher than that in control states (difference: 27.6 percentage points, 95% CI: 25.6, 29.6). CONCLUSIONS: Implementing Maryland's GBR payment model was associated with an acceleration in the shift from inpatient to outpatient hospital settings for surgical procedures.

An overview of commercialization and marketization of thermoelectric generators for low-temperature waste heat recovery.

According to statistics, low-temperature waste heat below 300°C accounts for more than 89% of industrial waste heat. If the waste heat is not recycled, a large amount of low-temperature waste heat will be released into the atmosphere, thereby exacerbating global warming and posing a significant threat to human survival. Although the power generation efficiency of solid-state thermoelectric generation technology is lower than the organic Rankine cycle, it only requires a smaller construction area, which increases its market acceptance, applicability, and penetration. Especially in the pursuit of net-zero emissions by global companies, the importance of low-temperature waste heat recovery and power generation is even more prominent. The current thermoelectric conversion efficiency of commercial thermoelectric chips is about 5%. Power generation cost, thermoelectric conversion efficiency, and energy use efficiency are highly correlated with the commercialization of solid-state thermoelectric technology. This research shares five practical waste heat power generation cases commercialized by recycling three heat sources. It also points out the three significant challenges facing the commercialization of power generation from low-temperature waste heat recovery. This study analyzes 2,365 TEG patents submitted by 28 companies worldwide to determine the basic technology for realizing waste heat recovery through TEG and explore the potential commercialization of related waste heat recovery products. The future challenge for the large-scale commercialization of solid-state thermoelectric technology is not technological development but financial incentives related to changes in international energy prices and subsidies that promote zero carbon emissions.

Is the Centralization of Complex Surgical Procedures an Unintended Spillover Effect of Global Capitation? - Insights from the Maryland Global Budget Revenue Program.

OBJECTIVE: To determine if global budget revenue (GBR) models incent the centralization of complex surgical care. SUMMARY BACKGROUND: In 2014, Maryland initiated a statewide GBR model. While prior research has shown improvements in cost and outcomes for surgical care post-GBR implementation, the mechanism remains unclear. METHODS: Utilizing state inpatient databases, we compared the proportion of adults undergoing elective complex surgeries (gastrectomy, pneumonectomy/lobectomy, proctectomies, and hip/knee revision) at high-concentration hospitals (HCHs) in Maryland and control states. Annual concentration, per procedure, was defined as hospital volume divided by state volume. HCHs were defined as hospitals with a concentration at least at the 75 th percentile in 2010. We estimated the difference-in-differences (DiD) of the probability of patients undergoing surgery at HCHs before and after GBR implementation. FINDINGS: Our sample included 122,882 surgeries. Following GBR implementation, all procedures were increasingly performed at HCHs in Maryland. States satisfied the parallel trends assumption for the centralization of gastrectomy and pneumonectomy/lobectomy. Post-GBR, patients were more likely to undergo gastrectomy (DiD: 5.5 p.p., 95% CI [2.2, 8.8]) and pneumonectomy/lobectomy (DiD: 12.4 p.p., 95% CI [10.0, 14.8]) at an HCH in Maryland compared with control states. For our hip/knee revision analyses, we assumed persistent counterfactuals and noted a positive DiD post-GBR implementation (DiD: 4.8 p.p., 95% CI [1.3, 8.2]). No conclusion could be drawn for proctectomy due to different pre-GBR trends. CONCLUSIONS: GBR implementation is associated with increased centralization for certain complex surgeries. Future research is needed to explore the impact of centralization on patient experience and access.

Trends in Episode-of-Care Spending for Cancer-Directed Surgery Among US Medicare Beneficiaries From 2011 to 2019.

This cross-sectional study examines trends in the number of cancer-directed surgeries from 2011 to 2019 among US patients aged 65 years or older and in Medicare spending for those surgeries overall and by inpatient vs outpatient sites of care.

Assessment of uremic sarcopenia in dialysis patients: An update.

Uremic sarcopenia, which is highly prevalent in dialysis patients, leads to an increased risk of adverse outcomes, such as poor quality of life, falls, fracture, hospitalization, and even mortality. Therefore, early detection of uremic sarcopenia is crucial for administering quick and adequate multidisciplinary therapy to improve clinical outcomes. This review updates the current information about uremic sarcopenia assessment in chronic dialysis patients. We discuss the methods of assessing skeletal muscle mass, strength, and physical performance. We also discuss surrogate markers derived from serum and dialysate creatinine, in addition to emerging screening tools. The prevalence, clinical relevance, and impact of uremic sarcopenia on survival are reviewed and we discuss the limitations and challenges in applying the current working definition of sarcopenia based on the senior population to dialysis patients. The review shows that dialysis patients with skeletal muscle weakness or poor physical performance, either with or without low skeletal muscle mass, should undergo multidisciplinary therapy, included nutritional counseling, lifestyle modification, and exercise intervention, to mitigate the detrimental effects of uremic sarcopenia.

Financial Impacts And Operational Implications Of Private Equity Acquisition Of US Hospitals.

Although private equity acquisition of short-term acute care hospitals purportedly improves efficiency and cost-effectiveness, financial performance after acquisition remains unexamined. We compared changes in the financial performance of 176 hospitals acquired during 2005-14 versus changes in matched control hospitals. Acquisition was associated with a $432 decrease in cost per adjusted discharge and a 1.78-percentage-point increase in operating margin. The majority of acquisitions-134 members of the Hospital Corporation of America, acquired in 2006-were associated with a $559 decrease in cost per adjusted discharge but no change in operating margin. Conversely, non-HCA hospitals exhibited a 3.27-percentage-point increase in operating margin without a concomitant change in cost per adjusted discharge. When we examined markers of hospital capacity, operational efficiency, and costs, we found that private equity acquisition was associated with decreases in total beds, ratio of outpatient to inpatient charges, and staffing (total personnel and nursing full-time equivalents and total full-time equivalents per occupied bed). Therefore, financial performance improved after acquisition, whereas patient throughput and inpatient utilization increased and staffing metrics decreased. Future research is needed to identify any unintended trade-offs with safety and quality.

Association of Maryland Global Budget Revenue With Spending and Outcomes Related to Surgical Care for Medicare Beneficiaries With Cancer.

Importance: In 2014, Maryland initiated the global budget revenue (GBR) model, placing caps on total hospital expenditures across all care sites. The GBR program aims to reduce unnecessary utilization while maintaining or improving care quality. To date, there has been limited examination of program effects on cancer care. Objective: To compare changes in spending, clinical outcomes, and acute care utilization through 4 years of the GBR program among Medicare beneficiaries who undergo cancer-directed surgery in Maryland vs matched control states. Design, Setting, and Participants: Drawing from a matched pool of hospitals in Maryland (n = 35) and 24 control states with a similar timing of Medicaid expansion (n = 101), we identified Medicare beneficiaries from Maryland and control states who underwent any cancer-directed surgery from 2011 through 2018. Using difference-in-differences analysis, we compared changes in outcomes from before (2011-2013) to after (2015-2018) GBR implementation between patients treated in Maryland and control states. We also performed a subgroup analysis among patients who underwent major surgical procedures that are usually performed in the inpatient setting (cystectomy, esophagectomy, gastrectomy, colorectal resection, nephrectomy, pancreatectomy, and lung resection). Main Outcomes and Measures: Thirty-day episode spending, mortality, readmissions, and emergency department (ED) visits. Results: Relative to Medicare beneficiaries undergoing cancer surgery in control states (n = 4737; 3323 [70.1%] female; 571 [12.1%] dual-eligible; mean [SD] age 74.9 [6.5] years), patients in Maryland (n = 20 320; 14 068 [69.2%] female; 1705 [8.4%] dual-eligible; mean [SD] age 74.9 [6.5] years) had a statistically significant reduction of 2.2 percentage points (95% CI, -4.3 to -0.1) in the 30-day readmission rate. We found no statistically significant changes in 30-day spending, mortality, or ED visits. We report no significant results in the subgroup analysis of patients undergoing major surgical procedures. Conclusions and Relevance: Global budget revenue was not associated with changes in expenditures, ED utilization, or clinical outcomes after cancer-directed surgery through 4 years. There was a modest decline in 30-day readmissions. Specialty-specific definitions of care quality and better alignment across the entire care delivery value chain (ie, physician incentives) may be strategies that could improve delivery of high-value care for beneficiaries undergoing cancer surgery.

Understanding the Relationship between Breast Reconstruction Subtype and Risk of Financial Toxicity: A Single-Institution Pilot Study.

BACKGROUND: The impact of breast reconstruction on financial toxicity remains poorly understood despite growing awareness. The authors sought to illustrate the relationship between breast reconstruction subtypes and the risk of financial toxicity. METHODS: The authors conducted a single-institution cross-sectional survey of all female breast cancer patients undergoing any form of breast reconstruction between January of 2018 and June of 2019. Financial toxicity was measured by means of the validated Comprehensive Score for Financial Toxicity instrument. Demographics, clinical course, and coping strategies were abstracted from a purpose-built survey and electronic medical records. Multivariable linear regression was performed to identify associations with financial toxicity. RESULTS: The authors' analytical sample was 350 patients. One hundred eighty-four (52.6 percent) underwent oncoplastic reconstruction, 126 (36 percent) underwent implant-based reconstruction, and 40 (11.4 percent) underwent autologous reconstruction. Oncoplastic reconstruction recipients were older, had a higher body mass index, and were more likely to have supplemental insurance and receive adjuvant hormonal therapy. No significant differences in the risk of financial toxicity were uncovered across breast reconstruction subtypes (p = 0.53). Protective factors against financial toxicity were use of supplemental insurance (p = 0.0003) and escalating annual household income greater than $40,000 (p < 0.0001). Receipt of radiation therapy was positively associated with worsening financial toxicity (-2.69; 95 CI percent, -5.22 to -0.15). Financial coping strategies were prevalent across breast reconstruction subtypes. CONCLUSIONS: Breast reconstruction subtype does not differentially impact the risk of financial toxicity. Increasing income and supplemental insurance were found to be protective, whereas receipt of radiation therapy was positively associated with financial toxicity. Prospective, multicenter studies are needed to identify the main drivers of out-of-pocket costs and financial toxicity in breast cancer care.

Development of Machine Learning Algorithms for the Prediction of Financial Toxicity in Localized Breast Cancer Following Surgical Treatment.

PURPOSE: Financial burden caused by cancer treatment is associated with material loss, distress, and poorer outcomes. Financial resources exist to support patients but identification of need is difficult. We sought to develop and test a tool to accurately predict an individual's risk of financial toxicity based on clinical, demographic, and patient-reported data prior to initiation of breast cancer treatment. PATIENTS AND METHODS: We surveyed 611 patients undergoing breast cancer therapy at MD Anderson Cancer Center. We collected data using the validated COmprehensive Score for financial Toxicity (COST) patient-reported outcome measure alongside other financial indicators (credit score, income, and insurance status). We also collected clinical and perioperative data. We trained and tested an ensemble of machine learning (ML) algorithms (neural network, regularized linear model, support vector machines, and a classification tree) to predict financial toxicity. Data were randomly partitioned into training and test samples (2:1 ratio). Predictive performance was assessed using area-under-the-receiver-operating-characteristics-curve (AUROC), accuracy, sensitivity, and specificity. RESULTS: In our test sample (N = 203), 48 of 203 women (23.6%) reported significant financial burden. The algorithm ensemble performed well to predict financial burden with an AUROC of 0.85, accuracy of 0.82, sensitivity of 0.85, and specificity of 0.81. Key clinical predictors of financial burden from the linear model were neoadjuvant therapy (ßregularized, .11) and autologous, rather than implant-based, reconstruction (ßregularized, .06). Notably, radiation and clinical tumor stage had no effect on financial burden. CONCLUSION: ML models accurately predicted financial toxicity related to breast cancer treatment. These predictions may inform decision making and care planning to avoid financial distress during cancer treatment or enable targeted financial support. Further research is warranted to validate this tool and assess applicability for other types of cancer.

Correlation Between Financial Toxicity, Quality of Life, and Patient Satisfaction in an Insured Population of Breast Cancer Surgical Patients: A Single-Institution Retrospective Study.

BACKGROUND: The relationship between treatment-related, cost-associated distress "financial toxicity" (FT) and quality-of life (QOL) in breast cancer patients remains poorly characterized. This study leverages validated patient-reported outcomes measures (PROMs) to analyze the association between FT and QOL and satisfaction among women undergoing ablative breast cancer surgery. STUDY DESIGN: This is a single-institution cross-sectional survey of all female breast cancer patients (>18 years old) who underwent lumpectomy or mastectomy between January 2018 and June 2019. FT was measured via the 11-item COmprehensive Score for financial Toxicity (COST) instrument. The BREAST-Q and SF-12 were used to asses condition-specific and global QOL, respectively. Responses were linked with demographic and clinical data. Pearson correlation coefficient and multivariable regression were used to examine associations. RESULTS: Our analytical sample consisted of 532 patients; mean age 58, mostly white (76.7%), employed (63.7%), married/committed (73.7%), with 64.3% undergoing reconstruction. Median household income was $80,000 to $120,000/year, and mean COST score was 28.0. After multivariable adjustment, a positive relationship for all outcomes was noted; lower COST (greater cost-associated distress) was associated with lower BREAST-Q and SF-12 scores. This relationship was strongest for BREAST-Q psychosocial well-being, for which we observed a 0.89 (95% CI 0.76-1.03) change per unit change in COST score. CONCLUSIONS: Financial toxicity captured in this study correlates with statistically significant and clinically important differences in BREAST-Q psychosocial well-being, patient satisfaction with reconstructed breasts, and SF-12 global mental and physical quality of life. Treatment costs should be included in the shared decision-making for breast cancer surgery. Future prospective outcomes research should integrate COST.

Financial Toxicity Following Surgical Treatment for Breast Cancer: A Cross-sectional Pilot Study.

BACKGROUND: Despite growing national attention, there is limited understanding of the patient- and treatment-level characteristics related to treatment cost-associated distress ("financial toxicity") in breast cancer patients. Our aim is to identify risk factors for financial toxicity amongst breast cancer patients undergoing surgical treatment. METHODS: This is a single-institution cross-sectional survey of adult female breast cancer patients who underwent lumpectomy or mastectomy between January 2018 and June 2019. Financial toxicity was measured via the 11-item comprehensive score for financial toxicity (COST) instrument. Responses were linked with data on patient demographics and clinical history abstracted from the corresponding medical record. Multivariate regression was used to identify patient- and treatment-level factors associated with worsening financial toxicity. Secondary outcome measures included self-reported coping strategies for high treatment costs. RESULTS: A total of 571 patients were included; overall, these individuals were mostly white (76.0%), in-state residents (72.3%), and married (73.0%). Following multivariate analysis, lower financial distress was associated with the use of supplemental insurance, increasing annual household income, and a higher credit score (score > 740). Conversely, work reduction or cessation, increased out-of-pocket spending, advanced tumor stage, and being employed at the time of diagnosis were associated with increased financial distress. Patients with higher reported financial distress were more likely to decrease their spending on food, clothing, and leisure activities. CONCLUSIONS: Financial toxicity was associated with baseline demographic, disease, and treatment characteristics in our cohort of insured patients. These characteristics may be critical opportunities for interventions related to financial navigation along the treatment continuum.

How to Identify Team-based Primary Care in the United States Using Medicare Data.

BACKGROUND: Studying team-based primary care using 100% national outpatient Medicare data is not feasible, due to limitations in the availability of this dataset to researchers. METHODS: We assessed whether analyses using different sets of Medicare data can produce results similar to those from analyses using 100% data from an entire state, in identifying primary care teams through social network analysis. First, we used data from 100% Medicare beneficiaries, restricted to those within a primary care services area (PCSA), to identify primary care teams. Second, we used data from a 20% sample of Medicare beneficiaries and defined shared care by 2 providers using 2 different cutoffs for the minimum required number of shared patients, to identify primary care teams. RESULTS: The team practices identified with social network analysis using the 20% sample and a cutoff of 6 patients shared between 2 primary care providers had good agreement with team practices identified using statewide data (F measure: 90.9%). Use of 100% data within a small area geographic boundary, such as PCSAs, had an F measure of 83.4%. The percent of practices identified from these datasets that coincided with practices identified from statewide data were 86% versus 100%, respectively. CONCLUSIONS: Depending on specific study purposes, researchers could use either 100% data from Medicare beneficiaries in randomly selected PCSAs, or data from a 20% national sample of Medicare beneficiaries to study team-based primary care in the United States.

Nurse Practitioner Involvement in Medicare Accountable Care Organizations: Association With Quality of Care.

The objective was to examine trend and care quality outcomes associated with nurse practitioner (NP) involvement in Accountable Care Organizations (ACOs) via a cross-sectional study of 521 Medicare Shared Savings Program ACOs during 2014 to 2016. Data include ACO provider/beneficiary files, Medicare claims, and ACO performance data with a focus on Medicare beneficiaries with diabetes, chronic obstructive pulmonary disease, or heart failure. ACO care quality measures were stratified by NP involvement and adjusted for patient, provider, and ACO factors. NP involvement was highest in larger ACOs, states that allow NPs full scope of practice, and rural areas. Greater involvement was associated with fewer readmissions and higher scores on measures of preventive care but not chronic disease and medication management. Greater NP involvement in ACOs was associated with improvement in some care quality measures. With NPs' increasing involvement in ACOs, more research is needed to understand the NP role in processes and outcomes of care.

Financial toxicity and contralateral prophylactic mastectomy: an analysis using propensity score methods.

PURPOSE: Contralateral prophylactic mastectomy (CPM) is increasingly performed in average-risk patients despite the lack of survival benefit. In an era of heightened awareness of healthcare costs, we sought to determine the impact of CPM on financial toxicity in breast cancer. METHODS: A single-institution propensity-matched analysis of female patients who underwent unilateral mastectomy (UM) with or without CPM for breast cancer over an 18-month period. Patients with a history of genetic predisposition or bilateral cancer were excluded. The validated Comprehensive Score for financial Toxicity (COST) evaluated financial toxicity among participants. Multivariable regression analysis evaluated the relationship between CPM and financial toxicity. Relevant domains of the Breast Q and SF12 instruments were examined as secondary outcomes. Sensitivity analysis was performed using propensity-weighting to examine robustness of results and increase our sample size. RESULTS: Overall, 104 patients were identified, equally distributed across UM and CPM. CPM was not associated with financial toxicity, as evidenced by comparable COST scores (adjusted difference, 1.53 [- 3.24 to 6.29]). Minor complications were significantly lower in UM patients (UM, 8%; CPM, 31%). CPM was associated with significantly higher Breast Q psychosocial well-being score (adjusted difference, 10.58 [1.34 to 19.83]). BREAST Q surgeon satisfaction, SF12 mental and physical component scores were comparable. Similar results were noted on sensitivity analysis involving 194 patients. CONCLUSIONS: Choice for CPM was associated with higher minor complications, but led to improved psychosocial well-being without a higher degree of patient-reported financial toxicity. Prospective studies are needed to discern the influence of CPM on the incidence and trajectory of financial toxicity.

Hospital Readmissions Reduction Program and Post-Acute Care: Implications for Service Delivery and 30-Day Hospital Readmission.

OBJECTIVES: Examine whether the introduction of the Hospital Readmissions Reduction Program (HRRP) is associated with changes in post-acute care (PAC) use and 30-day readmission. DESIGN: A retrospective cohort study examined data prepassage, preimplementation, and postimplementation of the HRRP. SETTING AND PARTICIPANTS: In total, 7,851,430 Medicare beneficiaries discharged from 5116 acute hospitals to PAC settings including inpatient rehabilitation, skilled nursing, home health, or a long-term care hospital during 2007‒2015. We examined HRRP-targeted conditions (acute myocardial infarction, heart failure, and pneumonia) and nontargeted conditions (ischemic stroke, total hip arthroplasty/total knee arthroplasty, and hip/femur fractures). MEASURES: The hospital-level of quarterly PAC use and the association with 30-day risk-standardized readmission rates. Outcomes were calculated for HRRP-targeted and nontargeted conditions/diagnoses across 3 phases of HRRP implementation. RESULTS: An increase in quarterly PAC use was significantly (P < .001) associated with a decrease in 30-day risk-standardized readmission rates for acute myocardial infarction, heart failure, and hip/femur fracture. In contrast, an increase in quarterly PAC use was significantly associated with an increase in readmission rate for total hip arthroplasty/total knee arthroplasty (P < 001). PAC quarterly use and readmission rates varied significantly during implementation periods for HRRP- targeted and nontargeted conditions. CONCLUSIONS AND IMPLICATIONS: The impact on readmission after PAC for selected impairment groups may be mediated by the type of PAC services received and whether the diagnoses is included in the HRRP. Additional research is necessary to determine if a reduction in readmission is associated with inclusion in the HRRP or is a side effect related to diagnostic group and/or type of PAC services received.

Comparison of Functional Status Improvements Among Patients With Stroke Receiving Postacute Care in Inpatient Rehabilitation vs Skilled Nursing Facilities.

Importance: Health care reform legislation and Medicare plans for unified payment for postacute care highlight the need for research examining service delivery and outcomes. Objective: To compare functional outcomes in patients with stroke after postacute care in inpatient rehabilitation facilities (IRF) vs skilled nursing facilities (SNF). Design, Setting, and Participants: This cohort study included patients with stroke who were discharged from acute care hospitals to IRF or SNF from January 1, 2013, to November 30, 2014. Medicare claims were used to link to IRF and SNF assessments. Data analyses were conducted from January 17, 2017, through April 25, 2019. Exposures: Inpatient rehabilitation received in IRFs vs SNFs. Main Outcomes and Measures: Changes in mobility and self-care measures during an IRF or SNF stay were compared using multivariate analyses, inverse probability weighting with propensity score, and instrumental variable analyses. Mortality between 30 and 365 days after discharge was included as a control outcome as an indicator for unmeasured confounders. Results: Among 99 185 patients who experienced a stroke between January 1, 2013, and November 30, 2014, 66 082 patients (66.6%) were admitted to IRFs and 33 103 patients (33.4%) were admitted to SNFs. A higher proportion of women were admitted to SNFs (21 466 [64.8%] women) than IRFs (36 462 [55.2%] women) (P < .001). Compared with patients admitted to IRFs, patients admitted to SNFs were older (mean [SD] age, 79.4 [7.6] years vs 83.3 [7.8] years; P < .001) and had longer hospital length of stay (mean [SD], 4.6 [3.0] days vs 5.9 [4.2] days; P < .001) than those admitted to IRFs. In unadjusted analyses, patients with stroke admitted to IRF compared with those admitted to SNF had higher mean scores for mobility on admission (44.2 [95% CI, 44.1-44.3] points vs 40.8 [95% CI, 40.7-40.9] points) and at discharge (55.8 [95% CI, 55.7-55.9] points vs 44.4 [95% CI, 44.3-44.5] points), and for self-care on admission (45.0 [95% CI, 44.9-45.1] points vs 41.8 [95% CI, 41.7-41.9] points) and at discharge (58.6 [95% CI, 58.5-58.7] points vs 45.1 [95% CI, 45.0-45.2] points). Additionally, patients in IRF compared with those in SNF had larger improvements for mobility score (11.6 [95% CI, 11.5-11.7] points vs 3.5 [95% CI, 3.4-3.6] points) and for self-care score (13.6 [95% CI, 13.5-13.7] points vs 3.2 [95% CI, 3.1-3.3] points). Multivariable, propensity score, and instrumental variable analyses showed a similar magnitude of better improvements in patients admitted to IRF vs those admitted to SNF. The differences between SNF and IRF in odds of 30- to 365-day mortality (unadjusted odds ratio, 0.48 [95% CI, 0.46-0.49]) were reduced but not eliminated in multivariable analysis (adjusted odds ratio, 0.72 [95% CI, 0.69-0.74]) and propensity score analysis (adjusted odds ratio, 0.75 [95% CI, 0.72-0.77]). These differences were no longer statistically significant in the instrumental variable analyses. Conclusions and Relevance: In this cohort study of a large national sample, inpatient rehabilitation in IRFs for patients with stroke was associated with substantially improved physical mobility and self-care function compared with rehabilitation in SNFs. This finding raises questions about the value of any policy that would reimburse IRFs or SNFs at the same standard rate for stroke.

Use of Medicare Data to Identify Team-based Primary Care: Is it Possible?

BACKGROUND: It is unclear whether Medicare data can be used to identify type and degree of collaboration between primary care providers (PCPs) [medical doctors (MDs), nurse practitioners, and physician assistants] in a team care model. METHODS: We surveyed 63 primary care practices in Texas and linked the survey results to 2015 100% Medicare data. We identified PCP dyads of 2 providers in Medicare data and compared the results to those from our survey. Sensitivity, specificity, and positive predictive value (PPV) of dyads in Medicare data at different threshold numbers of shared patients were reported. We also identified PCPs who work in the same practice by Social Network Analysis (SNA) of Medicare data and compared the results to the surveys. RESULTS: With a cutoff of sharing at least 30 patients, the sensitivity of identifying dyads was 27.8%, specificity was 91.7%, and PPV 72.2%. The PPV was higher for MD-nurse practitioner/physician assistant pairs (84.4%) than for MD-MD pairs (61.5%). At the same cutoff, 90% of PCPs identified in a practice from the survey were also identified by SNA in the corresponding practice. In 5 of 8 surveyed practices with at least 3 PCPs, about ≤20% PCPs identified in the practices by SNA of Medicare data were not identified in the survey. CONCLUSIONS: Medicare data can be used to identify shared care with low sensitivity and high PPV. Community discovery from Medicare data provided good agreement in identifying members of practices. Adapting network analyses in different contexts needs more validation studies.