Association between "Balance Billing" Legislation and Anesthesia Payments in California: A Retrospective Analysis.

BACKGROUND: Insured patients who receive out-of-network care may receive a "balance bill" for the difference between the practitioner's charge and their insurer's contracted rate. In 2017, California banned balance billing for anesthesia care. This study examined the association between California's law and subsequent payments for anesthesia care. The authors hypothesized that, after the law's implementation, there would be no change in in-network payment amounts, and that out-of-network payment amounts and the portion of claims occurring out-of-network would decline. METHODS: The study used average, quarterly, California county-level payment data (2013 to 2020) derived from a claims database of commercially insured patients. Using a difference-in-differences approach, the change was estimated in payment amounts for intraoperative or intrapartum anesthesia care, along with the portion of claims occurring out-of-network, after the law's implementation. The comparison group was office visit payments, expected to be unaffected by the law. The authors prespecified that they would refer to differences of 10% or greater as policy significant. RESULTS: The sample consisted of 43,728 procedure code-county-quarter-network combinations aggregated from 4,599,936 claims. The law's implementation was associated with a significant 13.6% decline in payments for out-of-network anesthesia care (95% CI, -16.5 to -10.6%; P < 0.001), translating to an average $108 decrease across all procedures (95% CI, -$149 to -$64). There was a statistically significant 3.0% increase in payments for in-network anesthesia care (95% CI, 0.9 to 5.1%; P = 0.007), translating to an average $87 increase (95% CI, $64 to $110), which may be notable in some circumstances but did not meet the study threshold for identifying a change as policy significant. There was a nonstatistically significant increase in the portion of claims occurring out-of-network (10.0%, 95% CI, -4.1 to 24.2%; P = 0.155). CONCLUSIONS: California's balance billing law was associated with significant declines in out-of-network anesthesia payments in the first 3 yr after implementation. There were mixed statistical and policy significant results for in-network payments and the proportion of out-of-network claims.

Integrative clinical genomics of metastatic cancer.

Metastasis is the primary cause of cancer-related deaths. Although The Cancer Genome Atlas has sequenced primary tumour types obtained from surgical resections, much less comprehensive molecular analysis is available from clinically acquired metastatic cancers. Here we perform whole-exome and -transcriptome sequencing of 500 adult patients with metastatic solid tumours of diverse lineage and biopsy site. The most prevalent genes somatically altered in metastatic cancer included TP53, CDKN2A, PTEN, PIK3CA, and RB1. Putative pathogenic germline variants were present in 12.2% of cases of which 75% were related to defects in DNA repair. RNA sequencing complemented DNA sequencing to identify gene fusions, pathway activation, and immune profiling. Our results show that integrative sequence analysis provides a clinically relevant, multi-dimensional view of the complex molecular landscape and microenvironment of metastatic cancers.

The Price-Quality Mismatch: Are Negotiated Prices for Total Joint Arthroplasty Associated With Hospital Quality in a Large California Health System?

BACKGROUND: Price variations in healthcare can be caused by quality or factors other than quality such as market share, negotiating power with insurers, or hospital ownership model. Efforts to improve care value (defined as the ratio between health outcomes and price) by making healthcare prices readily accessible to patients are driven by the assumption this can help patients more easily identify high-quality, low-price clinicians and health systems, thus reducing price variations. However, if price variations are driven by factors other than quality, then strategies that involve payments for higher-quality care are unlikely to reduce price variation and improve value. It is unknown whether prices for total joint arthroplasty (TJA) are correlated with the quality of care or whether factors other than quality are responsible for price variation. QUESTIONS/PURPOSES: (1) How do prices insurers negotiate for TJA paid to a single, large health system vary across payer types? (2) Are the mean prices insurers negotiate for TJA associated with hospital quality? METHODS: We analyzed publicly available data from 22 hospitals in a single, large regional health system, four of which were excluded owing to incomplete quality information. We chose to use data from this single health system to minimize the confounding effects of between-hospital reputation or branding and geographic differences in the cost of providing care. This health system consists of large and small hospitals serving urban and rural populations, providing care for more than 3 million individuals. For each hospital, negotiated prices for TJA were classified into five payer types: commercial in-network, commercial out-of-network, Medicare Advantage (plans to which private insurers contract to provide Medicare benefits), Medicaid, and discounted cash pay. Traditional Medicare plans were not included because the prices are set statutorily, not negotiated. We obtained hospital quality measures from the Centers for Medicare and Medicaid Services. Centers for Medicare and Medicaid Services quality measures included TJA-specific complication and readmission rates in addition to hospital-wide patient survey star rating (measure of patient care experience) and total performance scores (aggregate measure of clinical outcomes, safety, patient experience, process of care, and efficiency). We evaluated the association between the mean negotiated hospital prices and Centers for Medicare and Medicaid Services quality measures using Pearson correlation coefficients and Spearman rho across all payer types. Statistical significance was defined as p < 0.0025. RESULTS: The mean ± SD overall negotiated price for TJA was USD 54,500 ± 23,200. In the descriptive analysis, the lowest negotiated prices were associated with Medicare Advantage (USD 20,400 ± 1800) and Medicaid (USD 20,300 ± 8600) insurance plans, and the highest prices were associated with out-of-network care covered by commercial insurance plans (USD 78,800 ± 9200). There was no correlation between the mean negotiated price and TJA complication rate (discounted cash price: r = 0.27, p = 0.29; commercial out-of-network: r = 0.28, p = 0.26; commercial in-network: r = -0.07, p = 0.79; Medicare Advantage: r = 0.11, p = 0.65; Medicaid: r = 0.03, p = 0.92), readmission rate (discounted cash price: r = 0.19, p = 0.46; commercial out-of-network: r = 0.24, p = 0.33; commercial in-network: r = -0.13, p = 0.61; Medicare Advantage: r = -0.06, p = 0.81; Medicaid: r = 0.09, p = 0.74), patient survey star rating (discounted cash price: r = -0.55, p = 0.02; commercial out-of-network: r = -0.53, p = 0.02; commercial in-network: r = -0.37, p = 0.13; Medicare Advantage: r = -0.08, p = 0.75; Medicaid: r = -0.02, p = 0.95), or total hospital performance score (discounted cash price: r = -0.35, p = 0.15; commercial out-of-network: r = -0.55, p = 0.02; commercial in-network: r = -0.53, p = 0.02; Medicare Advantage: r = -0.28, p = 0.25; Medicaid: r = 0.11, p = 0.69) for any of the payer types evaluated. CONCLUSION: There is substantial price variation for TJA that is not accounted for by the quality of care, suggesting that a mismatch between price and quality exists. Efforts to improve care value in TJA are needed to directly link prices with the quality of care delivered, such as through matched quality and price reporting mechanisms. Future studies might investigate whether making price and quality data accessible to patients, such as through value dashboards that report easy-to-interpret quality data alongside price information, moves patients toward higher-value care decisions. CLINICAL RELEVANCE: Efforts to better match the quality of care with negotiated prices such as matched quality and price reporting mechanisms, which have been shown to increase the likelihood of choosing higher-value care in TJA, could improve the value of care.

Cost-Effectiveness Analysis and Microsimulation of Serial Multiparametric Magnetic Resonance Imaging in Active Surveillance of Localized Prostate Cancer.

PURPOSE: Many localized prostate cancers will follow an indolent course. Management has shifted toward active surveillance (AS), yet an optimal regimen remains controversial especially regarding expensive multiparametric magnetic resonance imaging (MRI). We aimed to assess cost-effectiveness of MRI in AS protocols. MATERIALS AND METHODS: A probabilistic microsimulation modeled individual patient trajectories for men diagnosed with low-risk cancer. We assessed no surveillance, up-front treatment (surgery or radiation), and scheduled AS protocols incorporating transrectal ultrasound-guided (TRUS) biopsy or MRI based regimens at serial intervals. Lifetime quality-adjusted life-years and costs adjusted to 2020 US$ were used to calculate expected net monetary benefit at $50,000/quality-adjusted life-year and incremental cost-effectiveness ratios. Uncertainty was assessed with probabilistic sensitivity analysis and linear regression metamodeling. RESULTS: Conservative management with AS outperformed up-front definitive treatment in a modeled cohort reflecting characteristics from a multi-institutional trial. Biopsy decision conditional on positive imaging (MRI triage) at 2-year intervals provided the highest expected net monetary benefit (incremental cost-effectiveness ratio $44,576). Biopsy after both positive and negative imaging (MRI pathway) and TRUS biopsy based regimens were not cost-effective. MRI triage resulted in fewer biopsies while reducing metastatic disease or cancer death. Results were sensitive to test performance and cost. MRI triage was the most likely cost-effective strategy on probabilistic sensitivity analysis. CONCLUSIONS: For men with low-risk prostate cancer, our modeling demonstrated that AS with sequential MRI triage is more cost-effective than biopsy regardless of imaging, TRUS biopsy alone or immediate treatment. AS guidelines should specify the role of imaging, and prospective studies should be encouraged.

Activating people to partner in health and self-care: use of the Patient Activation Measure.

Patient activation is a behavioural concept and is at the heart of personalised care. It is defined as an individual's knowledge, skill and confidence for managing their health and health care. Evidence indicates that patient activation scores can predict health behaviour and are closely linked to various clinical outcomes: reduced unnecessary emergency department visits, hospital admissions and re-admissions. Patients with lower activation levels (25-40% of the population) are less likely to adopt healthy behaviour, and more likely to have poorer clinical outcomes and higher rates of hospitalisation. Effective interventions can improve a patient's activation level, and positive change in activation equates to positive change in self-care behaviour. But to improve patient activation, we must first measure it using a robust evidence-based tool such as the Patient Activation Measure (PAM) survey. Armed with the patient's PAM score, providers can tailor their care and help patients achieve better self-care, which can improve outcomes of care and reduce unnecessary health care utilisation. The PAM is also useful for population segmentation and risk stratification - to target interventions and health strategies to meet the needs of patients who are at different points along the activation continuum, to measure the performance of health care systems, and to evaluate the effectiveness of health care interventions. The role of patient activation requires further serious consideration if we are to improve the long-term health and wellbeing of all Australians. The PAM tool is a feasible and cost-effective solution for achieving the Quadruple Aim - improving population health, the cost-efficiency of the health system, and patient and provider experience.

Adoption of hospital diagnosis-related group financing in Switzerland and the availability of computed tomography scanners.

We study the relationship between diagnosis-related group (DRG) financing and the availability of computed tomography (CT) scanners in Switzerland. A number of Swiss hospitals switched to DRG payment for a portion of their payments progressively between 2002 and 2011. As of 2012, all hospitals were required to use DRG payment for a substantial portion of reimbursement. We conducted two main analyses. First, we studied hospitals switching in 2002-2011 and estimated event study models to compare changes in CT availability before and after the adoption of DRG financing, using the hospitals that did not switch during this time as a comparison group. In the second, we compared trends in CT availability before and after 2012, for the hospitals that switched in that year. In both analyses, we find a statistically significant association between the switch to DRG financing and lower levels of CT availability.

Compassionate use of Pulmonary Vasodilators in Acute Severe Hypoxic Respiratory Failure due to COVID-19.

BACKGROUND: There have been over 200 million cases and 4.4 million deaths from COVID-19 worldwide. Despite the lack of robust evidence one potential treatment for COVID-19 associated severe hypoxaemia is inhaled pulmonary vasodilator (IPVD) therapy, using either nitric oxide (iNO) or prostaglandins. We describe the implementation of, and outcomes from, a protocol using IPVDs in a cohort of patients with severe COVID-19 associated respiratory failure receiving maximal conventional support. METHODS: Prospectively collected data from adult patients with SARS-CoV-2 admitted to the intensive care unit (ICU) at a large teaching hospital were analysed for the period 14th March 2020 - 11th February 2021. An IPVD was considered if the PaO2/FiO2 (PF) ratio was less than 13.3kPa despite maximal conventional therapy. Nitric oxide was commenced at 20ppm and titrated to response. If oxygenation improved Iloprost nebulisers were commenced and iNO weaned. The primary outcome was percentage changes in PF ratio and Alveolar-arterial (A-a) gradient. RESULTS: Fifty-nine patients received IPVD therapy during the study period. The median PF ratio before IPVD therapy was commenced was 11.33kPa (9.93-12.91). Patients receiving an IPVD had a lower PF ratio (14.37 vs. 16.37kPa, p = 0.002) and higher APACHE-II score (17 vs. 13, p = 0.028) at ICU admission. At 72 hours after initiating an IPVD the median improvement in PF ratio was 33.9% (-4.3-84.1). At 72 hours changes in PF ratio (70.8 vs. -4.1%, p < 0.001) and reduction in A-a gradient (44.7 vs. 14.8%, p < 0.001) differed significantly between survivors (n = 33) and non-survivors (n = 26). CONCLUSIONS: The response to IPVDs in patients with COVID-19 associated acute hypoxic respiratory failure differed significantly between survivors and non-survivors. Both iNO and prostaglandins may offer therapeutic options for patients with severe refractory hypoxaemia due to COVID-19. The use of inhaled prostaglandins, and iNO where feasible, should be studied in adequately powered prospective randomised trials.

Is Low-value Testing Before Low-risk Hand Surgery Associated With Increased Downstream Healthcare Use and Reimbursements? A National Claims Database Analysis.

BACKGROUND: Minor hand procedures can often be completed in the office without any laboratory testing. Preoperative screening tests before minor hand procedures are unnecessary and considered low value because they can lead to preventable invasive confirmatory tests and/or procedures. Prior studies have shown that low-value testing before low-risk hand surgery is still common, yet little is known about their downstream effects and associated costs. Assessing these downstream events can elucidate the consequences of obtaining a low-value test and inform context-specific interventions to reduce their use. QUESTIONS/PURPOSES: (1) Among healthy adults undergoing low-risk hand surgery, are patients who receive a preoperative low-value test more likely to have subsequent diagnostic tests and procedures than those who do not receive a low-value test? (2) What is the increased 90-day reimbursement associated with subsequent diagnostic tests and procedures in patients who received a low-value test compared with those who did not? METHODS: In this retrospective, comparative study using a large national database, we queried a large health insurance provider's administrative claims data to identify adult patients undergoing low-risk hand surgery (carpal tunnel release, trigger finger release, Dupuytren fasciectomy, de Quervain release, thumb carpometacarpal arthroplasty, wrist ganglion cyst, or mass excision) between 2011 and 2017. This database was selected for its ability to track patient claims longitudinally with direct provision of reimbursement data in a large, geographically diverse patient population. Patients who received at least one preoperative low-value test, including complete blood count, basic metabolic panel, electrocardiogram, chest radiography, pulmonary function test, and urinalysis within the 30-day preoperative period, were matched with propensity scores to those who did not. Among the 73,112 patients who met our inclusion criteria (mean age 57 ± 14 years; 68% [49,847] were women), 27% (19,453) received at least one preoperative low-value test and were propensity score-matched to those who did not. Multivariable regression analyses were performed to assess the frequency and reimbursements of subsequent diagnostic tests and procedures in the 90 days after surgery while controlling for potentially confounding variables such as age, sex, comorbidities, and baseline healthcare use. RESULTS: When controlling for covariates such as age, sex, comorbidities, and baseline healthcare use, patients in the low-value test cohort had an adjusted odds ratio of 1.57 (95% confidence interval [CI] 1.50 to 1.64; p < 0.001) for a postoperative use event (a downstream diagnostic test or procedure) compared with those who did not have a low-value test. The median (IQR) per-patient reimbursements associated with downstream utilization events in patients who received a low-value test was USD 231.97 (64.37 to 1138.84), and those who did not receive a low-value test had a median of USD 191.52 (57.1 to 899.42) (adjusted difference when controlling for covariates: USD 217.27 per patient [95% CI 59.51 to 375.03]; p = 0.007). After adjusting for inflation, total additional reimbursements for patients in the low-value test cohort increased annually. CONCLUSION: Low-value tests generate downstream tests and procedures that are known to provide minimal benefit to healthy patients and may expose patients to potential harms associated with subsequent, unnecessary invasive tests and procedures in response to false positives. Nevertheless, low-value testing remains common and the rising trend in low-value test-associated spending demonstrates the need for multicomponent interventions that target change at both the payer and health system level. Such interventions should disincentivize the initial low-value test and the cascade that may follow. Future work to identify the barriers and facilitators to reduce low-value testing in hand surgery can inform the development and revision of deimplementation strategies. LEVEL OF EVIDENCE: Level III, therapeutic study.

Prevalence, Burden, and Sources of Out-of-Network Billing in Elective Hand Surgery: A National Claims Database Analysis.

PURPOSE: Surprise out-of-network (OON) bills can represent a considerable cost burden on patients. However, OON billing remains underexplored in elective, outpatient surgery procedures, which have greater latitude for patient choice. We aimed to answer the following questions: (1) What is the prevalence and magnitude of OON charges in hand surgery? (2) What are the sources of OON charges? and (3) What factors are associated with OON charges? METHODS: We analyzed patient-level data from the Clinformatics Data Mart database. We identified patients undergoing carpal tunnel release, trigger finger release, wrist ganglion removal, de Quervain release, limited palmar fasciectomy, or thumb carpometacarpal arthroplasty at in-network facilities with an in-network primary surgeon. The primary outcome was the proportion of surgical episodes with at least 1 OON charge. Secondary outcomes included the magnitude of potential balance bills (portion of OON bill exclusive of the standardized payment and expected patient cost-sharing), sources of OON charges, and factors associated with OON charges. RESULTS: Of 112,211 elective hand surgery episodes, 8% (9,158) had at least 1 OON charge. OON charges ranged from $1,154 (95% confidence interval, $1,018-$1,289) for wrist ganglion removal to $3,162 (95% confidence interval, $2,902-$3,423) for thumb carpometacarpal arthroplasty. In episodes with OON charges, the major sources of OON charges were anesthesiologists (75% of episodes), durable medical equipment (10% of episodes), and pathologists (9% of episodes). Site of service, geographic region, and health exchange-purchased plans were highly associated with OON charges. CONCLUSIONS: Out-of-network billing can represent a substantial cost burden to patients and should be considered in perioperative decision-making in elective hand surgery. CLINICAL RELEVANCE: Understanding the potential costs related to OON services during a surgical episode, and its drivers, allows surgeons to consider detailed cost discussions during perioperative decision making.

Relationships between highly recurrent tumor suppressor alterations in 489 leiomyosarcomas.

BACKGROUND: Leiomyosarcoma (LMS) is the most common soft tissue and uterine sarcoma, but no standard therapy is available for recurrent or metastatic LMS. TP53, p16/RB1, and PI3K/mTOR pathway dysregulations are recurrent events, and some LMS express estrogen receptor (ER) and/or progesterone receptor (PR). To characterize relationships between these pathway perturbations, the authors evaluated protein expression in soft tissue and uterine nonprimary leiomyosarcoma (np-LMS), including local recurrences and distant metastases. METHODS: TP53, RB1, p16, and PTEN expression aberrations were determined by immunohistochemistry (IHC) in tissue microarrays (TMAs) from 227 np-LMS and a comparison group of 262 primary leiomyosarcomas (p-LMS). Thirty-five of the np-LMS had a matched p-LMS specimen in the TMAs. Correlative studies included differentiation scoring, ER and PR IHC, and CDKN2A/p16 fluorescence in situ hybridization. RESULTS: Dysregulation of TP53, p16/RB1, and PTEN was demonstrated in 90%, 95%, and 41% of np-LMS, respectively. PTEN inactivation was more common in soft tissue np-LMS than uterine np-LMS (55% vs 31%; P = .0005). Moderate-strong ER expression was more common in uterine np-LMS than soft tissue np-LMS (50% vs 7%; P < .0001). Co-inactivation of TP53 and RB1 was found in 81% of np-LMS and was common in both soft tissue and uterine np-LMS (90% and 74%, respectively). RB1, p16, and PTEN aberrations were nearly always conserved in p-LMS and np-LMS from the same patients. CONCLUSIONS: These studies show that nearly all np-LMS have TP53 and/or RB1 aberrations. Therefore, therapies targeting cell cycle and DNA damage checkpoint vulnerabilities should be prioritized for evaluations in LMS.

Analysis of Medicare Payments and Patient Outcomes With Pre-Operative Imaging for Carotid Endarterectomy.

OBJECTIVE: The use of radiographic evaluation of carotid disease may vary, and current guidelines do not strongly recommend the use of cross-sectional imaging (CSI) prior to surgical intervention. We sought to describe the trends in preoperative carotid imaging and evaluate the associated clinical outcomes and Medicare payments for patients undergoing carotid endarterectomy (CEA) for asymptomatic carotid disease. METHODS: We used a 20% Medicare sample from 2006 to 2014 identifying patients undergoing CEA for asymptomatic disease. We evaluated preoperative carotid ultrasound and CSI use: CT or MRI of the neck prior to CEA. We calculated average payments of each study from the carrier file and revenue center file. Imaging payments included both the professional component (PC) and the technical component (TC). Claims with a reimbursement of $0 and studies where payment for both the TC and PC could not be identified were excluded from the overall calculation to determine average payment per study. Inpatient reimbursements according to DRG 37-39 were calculated. We compared hospital length of stay (LOS), in hospital stroke, carotid re-exploration, and mortality according to CSI use. RESULTS: A total of 58,993 CEAs were identified with pre-operative carotid imaging. The average age was 74.8 ± 7.5 years, and 56.0% were men. A total of 19,678 (33%) patients had ultrasound alone with an average of (2.4 ± 1.9) exams prior to CEA. A total of 39,315 patients underwent CSI prior to CEA with 2.5 ± 2.1 ultrasounds, 0.95 ± 0.86 neck CTs and 0.47 ± 0.7 MRIs per patient. The average payment for ultrasound was $140 ± 40, $282 ± 94 for CT and $410 ± 146 for MRI. The average inpatient reimbursements were $7,413 ± 4,215 for patients without CSI compared with $7,792 ± 3,921 for patients with CSI, P < 0.001. The average LOS during CEA admission was 2.5 ± 3.7days. Patients with CSI had a slightly lower percentage of patients being discharged by postoperative day 2 compared with ultrasound alone (88.9% vs. 91.5%, respectively, P < 0.001). The overall in-hospital stroke rate was 0.38% and carotid re-exploration rate was 1.0% and there was no statistical significant difference between groups. Median follow-up was 3.9 years, and mortality at 8 years was 50% and did not statistically differ between groups. CONCLUSIONS: Our analysis found preoperative imaging to include CSI in nearly two-thirds of patients prior to CEA for asymptomatic disease. As imaging and inpatient payments were higher with patients with CSI further work is needed to understand when CSI is appropriate prior to surgical intervention to appropriately allocate healthcare resources.

Initial financial impact of office-based laboratories on Medicare payments for percutaneous interventions for peripheral artery disease.

OBJECTIVE: Percutaneous interventions for peripheral artery disease (PAD) are transitioning away from hospital-based settings to office-based laboratories (OBLs). Those in favor of OBL use reference lower hospitalization rates and high efficiency; however, critics claim financial incentives may lead to multiple procedures and higher atherectomy use. We sought to determine how Medicare payments are affected by OBL use. METHODS: We identified physicians performing percutaneous interventions for PAD from 2006 to 2013 in a 20% Medicare sample. Physicians performing a majority of interventions at OBLs were classified as high OBL users; control physicians performed interventions at hospital-based settings. The primary outcomes were total Medicare payments at 30 days and 1 year. Generalized log-gamma regression models were used to evaluate factors influencing payments reported as a percentage change and 95% confidence interval (95% CI). A secondary analysis was performed of physicians who transitioned from hospital-based settings to OBLs, "switch physicians." A multivariate model with difference-in-differences regression was used to evaluate the effects of transitioning to OBLs. RESULTS: A total of 89 high OBL users performed percutaneous interventions on 887 patients, and 3715 control physicians treated 54,213 patients during the time period. Payments for patients treated by high OBL users were significantly higher compared with control physicians at 30 days ($4465), 90 days ($8925), and 1 year ($27,436). Major factors increasing payments at 1 year were treatment by a high OBL user (49%; 95% CI, 42%-56%), hospital admissions (127%; 95% CI, 123%-131%), repeated lower extremity procedures (41%; 95% CI, 39%-43%), and lower extremity wound (20%; 95% CI,18%-22%). Factors decreasing payments at 1 year were living in a rural setting (8%; 95% CI, 7%-9%) and dementia (5%; 95% CI, 3%-7%). Analysis of 292 switch physicians identified 3888 patients treated before OBLs (pre-switch) and 3246 after OBLs (post-switch). Transitioning to OBLs was associated with higher payments at 30 days and 90 days, and this increase was higher compared with control physicians. CONCLUSIONS: These findings highlight that OBL use for PAD interventions significantly influences Medicare payments, and its widespread adaptation should be made with caution. The main factors driving payments were hospitalization admissions, repeated lower extremity procedures, and wound status. Further work is needed to evaluate the appropriate use of OBLs to optimize patient outcomes and resource allocations.

Physical and Occupational Therapy Use and Cost After Common Hand Procedures.

PURPOSE: The use of routine physical therapy (PT) and occupational therapy (OT) after certain hand procedures, such as carpal tunnel release, remains controversial. The objective of this study was to evaluate baseline use, the change in use, variation in prescribing patterns by region, and costs for PT/OT after common hand procedures. METHODS: Outpatient administrative claims data from patients who underwent procedures for carpal tunnel syndrome, trigger finger, carpometacarpal arthritis, de Quervain tenosynovitis, wrist ganglion cyst, and distal radius fracture were abstracted from the Truven Health MarketScan database from 2007 to 2015. The incidence of therapy and total reimbursement of therapy per patient were collected for each procedure over a 90-day postoperative observational period. Trends in use of therapy over time were described with average compound annual growth rates (CAGRs), a way of quantifying average growth over a specified observation period. Variations in the incidence of PT/OT use across 4 census regions were assessed. RESULTS: The incidence of 90-day utilization of PT and OT after hand procedures was 14.0% and increased for all procedures during the observation period with an average CAGR of 8.3%. Cost per therapy visit was relatively stable when adjusted for inflation, with an average CAGR of 0.63%. Patients in the northeast had a significantly higher incidence of PT/OT use than those in the south and west for all procedures except carpometacarpal arthritis. CONCLUSIONS: Use of PT and OT has increased over time after common hand procedures. Geographical variation in the utilization rate of these services is substantial. Limiting unwarranted variation of care is a health policy strategy for increasing value of care. TYPE OF STUDY/LEVEL OF EVIDENCE: Outcomes Research II.

The Influence of Cost Information on Treatment Choice: A Mixed-Methods Study.

PURPOSE: To test the null hypothesis that exposure to societal cost information does not affect choice of treatment for carpal tunnel syndrome (CTS). METHODS: We enrolled 304 participants using the Amazon Mechanical Turk platform to complete a survey in which participants were given the choice between carpal tunnel release (CTR) or a less-expensive option (orthosis wear) in a hypothetical mild CTS scenario. Patients were randomized to receive information about the societal cost of CTR (cost cohort) or no cost information (control). The primary outcome was the probability of choosing CTR measured on a 6-point ordinal scale. We employed qualitative content analysis to evaluate participants' rationale for their choice. We also explored agreement with various attitudes toward health care costs on an ordinal scale. RESULTS: Participants in the cost cohort exhibited a greater probability of choosing surgery than those in the control cohort. The relative risk of choosing surgery after exposure to societal cost information was 1.43 (95% confidence interval, 1.11-1.85). Among participants who had not previously been diagnosed with CTS (n = 232), the relative risk of choosing surgery after exposure to societal cost information was 1.55 (95% confidence interval, 1.17-2.06). Lack of personal monetary responsibility frequently emerged as a theme in those in the cost cohort who chose surgery. The majority (94%) of participants expressed at least some agreement that health care cost is a major problem whereas only 58% indicated that they consider the country's health care costs when making treatment decisions. CONCLUSIONS: Participants who received societal cost information were more likely to choose the more expensive treatment option (CTR) for mild CTS. CLINICAL RELEVANCE: Exposure to societal cost information may influence patient decision making in elective hand surgery. A complete understanding of this influence is required prior to implementing processes toward greater cost transparency for diagnostic/treatment options. Sharing out-of-pocket costs with patients may be a beneficial approach because discussing societal cost information alone will likely not improve value of care.

Impact of office-based laboratories on physician practice patterns and outcomes after percutaneous vascular interventions for peripheral artery disease.

BACKGROUND: Percutaneous vascular interventions (PVIs) for peripheral artery disease have shifted from hospital-based facilities to office-based laboratories (OBLs). The transition to OBLs is due to a variety of factors such as technology advancement, increased efficiency, and financial incentives. We evaluated the impact of physicians switching to OBLs use from hospital-based facilities on procedure volume, procedure type, and patient outcomes. METHODS: We identified patients with PVI for lower extremity peripheral artery disease from 2006 to 2013 in a 20% Medicare sample and identified physicians who transitioned from predominantly hospital-based facilities to OBLs (switch physicians) and compared them with those who did not use OBLs (control physicians). The main outcomes investigated were average number of PVIs at 30 days and 1 year and atherectomy usage. Patient outcomes included above-ankle amputation, major adverse limb events, and death. We used a difference-in-difference model to control for time effects in a multivariate regression model, reported as an odds ratio (OR) and 95% confidence interval (CI). RESULTS: The cohort comprised 292 switch physicians, who treated 7134 patients (3888 before OBL use and 3246 after transitioning to OBLs), and 3715 control physicians treating 54,213 patients (36,327 in the preperiod and 17,886 in the postperiod). Switch and control physicians both treated more patients with lower extremity wounds during the study period; however, this increase was greater for control physician (0.7% vs 5.5%, P < .001). On average, patients treated by switch physicians had 0.05 (95% CI, 0.03-0.07; P < .001) underwent more PVIs within 30 days and 0.12 more PVIs (95% CI, 0.08-0.16; P < .001) within 1 year of the initial revascularization procedure after the physician transitioned to an OBL. Similarly, patients treated by switch physicians underwent 0.02 (95% CI, 0.01-0.03; P = .002) more atherectomy procedures at 30 days and 0.03 (95% CI, 0.01-0.05; P = .008) more atherectomy procedures at 1 year. Transitioning to OBLs was also associated with a decreased risk in above-ankle amputation at 30 days (OR, 0.58; 95% CI, 0.38-0.97; P = .009) and 1 year (OR, 0.75; 95% CI, 0.60-0.95; P = .01). However, no statistical difference was observed for major adverse limb events and mortality rates at 30 days and 1 year because patients treated by switch and control physicians experienced similar decreases. CONCLUSIONS: Transitioning to OBLs was associated higher 30-day and 1-year PVI rates and atherectomy rates. Although transitioning to OBLs was associated with lower rates of above-ankle amputations, switch physicians treated a lower number of patients with lower extremity wounds.

Competition in Outpatient Procedure Markets.

BACKGROUND: More than half of all medical procedures performed in the United States occur in an outpatient setting, yet few studies have explored how competition among ambulatory surgery centers (ASCs) and hospitals affects prices for commercially insured outpatient services. OBJECTIVES: We examined the association between prices for commercially insured outpatient procedures and competition among ASCs and hospitals. RESEARCH DESIGN: Using claims from the Health Care Cost Institute for 2008-2012, we constructed county-level price indices for outpatient procedures in hospital outpatient departments and ASCs. Using regression analysis, we estimated the association between prices and ASC availability, outpatient and inpatient hospital competition, hospital/physician integration, and several other hospital market characteristics. Our estimates were identified from changes within counties over time. RESULTS: First, ASC availability was associated with decreases in overall outpatient procedure prices, mostly due to reductions in the prices paid to hospital outpatient departments. Second, competition among hospitals was also associated with decreases in outpatient procedure prices-and had an effect more than twice as large as the effect of ASC availability. Third, competition among ASCs was also associated with reductions in the prices paid to other ASCs. CONCLUSIONS: Our results suggest that competition from ASCs benefits consumers through lower prices for outpatient procedures. Any conclusions about the broader welfare implications of the rise in ASCs, however, must balance the price reductions that we found with the volume increases found in previous work, particularly the volume increases at physician-owned ASCs.

Regional Anesthesia and Readmission Rates After Total Knee Arthroplasty.

BACKGROUND: Total knee arthroplasty is a commonly performed procedure and an important contributor to national health care spending. Reducing the incidence of readmission could have important consequences for patient well-being and relevant financial implications. Whether regional anesthesia techniques are associated with decreased readmission rates and costs among privately insured patients remains unknown. METHODS: Using administrative claims data, we identified 138,362 privately insured patients 18-64 years of age who underwent total knee arthroplasty between 2002 and 2013. We then examined whether the use of a nerve block was associated with decreases in readmission rates and related costs during the 90 days after discharge. Our analyses were adjusted for potential confounding variables including medical comorbidities and previous use of opioids and other medications. RESULTS: After adjusting for patient demographics, comorbidities, and preoperative medication use, the adjusted 90-day readmission rate was 1.8% (95% confidence interval [CI], 1.1-2.4) among patients who did not receive a block compared to 1.7% (95% CI, 1.1-2.4) among patients who did (odds ratio, 0.99; 95% CI, 0.91-1.09; P = .85). The adjusted readmission-related postoperative cost for patients who did not receive a block was $561 (95% CI, 502-619) and $574 (95% CI, 508-639) for patients who did (difference, $13; 95% CI, -75 to 102; P = .74). This lack of statistically significant differences held for subgroup and sensitivity analyses. CONCLUSIONS: Nerve blocks were not associated with improved measures of long-term postoperative resource use in this younger, privately insured study population.

The Usability and Feasibility of Conjoint Analysis to Elicit Preferences for Distal Radius Fractures in Patients 55 Years and Older.

PURPOSE: Eliciting patient preferences is one part of the shared decision-making process-a process of decision making focused on the values and preferences of the patient. We evaluated the usability and feasibility of a point-of-care conjoint analysis tool for preference elicitation for shared decision making in the treatment of distal radius fractures in patients over the age of 55 years. METHODS: Twenty-seven patients 55 years of age or older with a displaced distal radius fracture were recruited from a hand and upper extremity clinic. A conjoint analysis tool was created describing the attributes of care (eg, return of grip strength) of surgical and nonsurgical treatment. This tool was administered to patients to determine their preferences for the treatment attributes when choosing between surgical and nonsurgical treatment. Patients completed a System Usability Scale (SUS) to evaluate usability, and time to complete the tool was measured to evaluate feasibility. RESULTS: Patients considered the conjoint analysis tool to be usable (SUS, 91.4; SD, 10.9). Mean time to complete the tool was 5.1 minutes (SD, 1.4 minutes). The most important attributes driving the decision for surgical treatment were return of grip strength at 1 year and time spent in a cast or brace. The most important attributes driving the decision for nonsurgical treatment were use of anesthesia during treatment and return of grip strength at 1 year. CONCLUSIONS: A point-of-care conjoint analysis tool for distal radius fractures in patients 55 years and older can be used to elicit patient preferences to inform the shared decision-making process. Further investigation evaluating the effect of preference elicitation on treatment choice, involvement in decision making, and patient-reported outcomes are needed. CLINICAL RELEVANCE: A conjoint analysis tool is a simple, structured process physicians can use during shared decision making to highlight trade-offs between treatment options and elicit patient preferences to inform treatment choices.

Anesthesia Care Team Composition and Surgical Outcomes.

WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: In the United States, anesthesia care can be provided by an anesthesia care team consisting of nonphysician providers (nurse anesthetists and anesthesiologist assistants) working under the supervision of a physician anesthesiologist. Nurse anesthetists may practice nationwide, whereas anesthesiologist assistants are restricted to 16 states. To inform policies concerning the expanded use of anesthesiologist assistants, the authors examined whether the specific anesthesia care team composition (physician anesthesiologist plus nurse anesthetist or anesthesiologist assistant) was associated with differences in perioperative outcomes. METHODS: A retrospective analysis was performed of national claims data for 443,098 publicly insured elderly (ages 65 to 89 yr) patients who underwent inpatient surgery between January 1, 2004, and December 31, 2011. The differences in inpatient mortality, spending, and length of stay between cases where an anesthesiologist supervised an anesthesiologist assistant compared to cases where an anesthesiologist supervised a nurse anesthetist were estimated. The approach used a quasirandomization technique known as instrumental variables to reduce confounding. RESULTS: The adjusted mortality for care teams with anesthesiologist assistants was 1.6% (95% CI, 1.4 to 1.8) versus 1.7% for care teams with nurse anesthetists (95% CI, 1.7 to 1.7; difference -0.08; 95% CI, -0.3 to 0.1; P = 0.47). Compared to care teams with nurse anesthetists, care teams with anesthesiologist assistants were associated with non-statistically significant decreases in length of stay (-0.009 days; 95% CI, -0.1 to 0.1; P = 0.89) and medical spending (-$56; 95% CI, -334 to 223; P = 0.70). CONCLUSIONS: The specific composition of the anesthesia care team was not associated with any significant differences in mortality, length of stay, or inpatient spending.

The Affordable Care Act Decreased the Proportion of Uninsured Patients in a Safety Net Orthopaedic Clinic.

BACKGROUND: The Patient Protection and Affordable Care Act (ACA) was approved in 2010, substantially altering the economics of providing and receiving healthcare services in the United States. One of the primary goals of this legislation was to expand insurance coverage for under- and uninsured residents. Our objective was to examine the effect of the ACA on the insurance status of patients at a safety net clinic. Our institution houses a safety net clinic that provides the dominant majority of orthopaedic care for uninsured patients in our state. Therefore, our study allows us to accurately examine the magnitude of the effect on insurance status in safety net orthopaedic clinics. QUESTIONS/PURPOSES: (1) Did the ACA result in a decrease in the number of uninsured patients at a safety net orthopaedic clinic that provides the dominant majority of orthopaedic care for the uninsured in the state? (2) Did the proportion of patients insured after passage of the ACA differ across age or demographic groups in one state? METHODS: We retrospectively examined our longitudinally maintained adult orthopaedic surgery clinic database from January 2009 to March 2015 and collected visit and demographic data, including zip code income quartile. Based on the data published by the Rhode Island Department of Health, our clinic provides the dominant majority of orthopaedic care for uninsured patients in our state. Therefore, examination of the changes in the proportion of insurance status in our clinic allows us to assess the effect of the ACA on the state level. Univariate and multivariable logistic regression analyses were used to determine the relationship between demographic variables and insurance status. Adjusted odds ratios and 95% CIs were calculated for the proportion of uninsured visits. The proportion of uninsured visits before and after implementation of the ACA was evaluated with an interrupted time-series analysis. The reduction in the proportion of patients without insurance between demographic groups (ie, race, gender, language spoken, and income level) also was compared using an interrupted time-series design. RESULTS: There was a 36% absolute reduction (95% CI, 35%-38%; p < 0.001) in uninsured visits (73% relative reduction; 95% CI, 71%-75%; p < 0.001). There was an immediate 28% absolute reduction (95% CI, 21%-34%; p < 0.001) at the time of ACA implementation, which continued to decline thereafter. After controlling for potential confounding variables such as gender, race, age, and income level, we found that patients who were white, men, younger than 65 years, and seen after January 2014 were more likely to have insurance than patients of other races, women, older patients, and patients treated before January 2014. CONCLUSIONS: After the ACA was implemented, the proportion of patients with health insurance at our safety net adult orthopaedic surgery clinic increased substantially. The reduction in uninsured patients was not equal across genders, races, ages, and incomes. Future studies may benefit from identifying barriers to insurance acquisition in these subpopulations. The results of this study could affect orthopaedic practices in the United States by guiding policy decisions regarding health care. LEVEL OF EVIDENCE: Level III, therapeutic study.