The Volume and Cost of Quality Metric Reporting.

Importance: US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Conclusions and Relevance: Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Association of Hospital Participation in Bundled Payments for Care Improvement Advanced With Medicare Spending and Hospital Incentive Payments.

Importance: Bundled Payments for Care Improvement Advanced (BPCI-A) is a Centers for Medicare & Medicaid Services (CMS) initiative that aims to produce financial savings by incentivizing decreases in clinical spending. Incentives consist of financial bonuses from CMS to hospitals or penalties paid by hospitals to CMS. Objective: To investigate the association of hospital participation in BPCI-A with spending, and to characterize hospitals receiving financial bonuses vs penalties. Design, Setting, and Participants: Difference-in-differences and cross-sectional analyses of 4 754 139 patient episodes using 2013-2019 US Medicare claims at 694 participating and 2852 nonparticipating hospitals merged with hospital and market characteristics. Exposures: BPCI-A model years 1 and 2 (October 1, 2018, through December 31, 2019). Main Outcomes and Measures: Hospitals' per-episode spending, CMS gross and net spending, and the incentive allocated to each hospital. Results: The study identified 694 participating hospitals. The analysis observed a -$175 change in mean per-episode spending (95% CI, -$378 to $28) and an aggregate spending change of -$75.1 million (95% CI, -$162.1 million to $12.0 million) across the 428 670 episodes in BPCI-A model years 1 and 2. However, CMS disbursed $354.3 million (95% CI, $212.0 million to $496.0 million) more in bonuses than it received in penalties. Hospital participation in BPCI-A was associated with a net loss to CMS of $279.2 million (95% CI, $135.0 million to $423.0 million). Hospitals in the lowest quartile of Medicaid days received a mean penalty of $0.41 million; (95% CI, $0.09 million to $0.72 million), while those in the highest quartile received a mean bonus of $1.57 million; (95% CI, $1.09 million to $2.08 million). Similar patterns were observed for hospitals across increasing quartiles of Disproportionate Share Hospital percentage and of patients from racial and ethnic minority groups. Conclusions and Relevance: Among US hospitals measured between 2013 and 2019, participation in BPCI-A was significantly associated with an increase in net CMS spending. Bonuses accrued disproportionately to hospitals providing care for marginalized communities.

Protocol for an intervention development and pilot implementation evaluation study of an e-health solution to improve newborn care quality and survival in two low-resource settings, Malawi and Zimbabwe: Neotree.

INTRODUCTION: Every year 2.4 million deaths occur worldwide in babies younger than 28 days. Approximately 70% of these deaths occur in low-resource settings because of failure to implement evidence-based interventions. Digital health technologies may offer an implementation solution. Since 2014, we have worked in Bangladesh, Malawi, Zimbabwe and the UK to develop and pilot Neotree: an android app with accompanying data visualisation, linkage and export. Its low-cost hardware and state-of-the-art software are used to improve bedside postnatal care and to provide insights into population health trends, to impact wider policy and practice. METHODS AND ANALYSIS: This is a mixed methods (1) intervention codevelopment and optimisation and (2) pilot implementation evaluation (including economic evaluation) study. Neotree will be implemented in two hospitals in Zimbabwe, and one in Malawi. Over the 2-year study period clinical and demographic newborn data will be collected via Neotree, in addition to behavioural science informed qualitative and quantitative implementation evaluation and measures of cost, newborn care quality and usability. Neotree clinical decision support algorithms will be optimised according to best available evidence and clinical validation studies. ETHICS AND DISSEMINATION: This is a Wellcome Trust funded project (215742_Z_19_Z). Research ethics approvals have been obtained: Malawi College of Medicine Research and Ethics Committee (P.01/20/2909; P.02/19/2613); UCL (17123/001, 6681/001, 5019/004); Medical Research Council Zimbabwe (MRCZ/A/2570), BRTI and JREC institutional review boards (AP155/2020; JREC/327/19), Sally Mugabe Hospital Ethics Committee (071119/64; 250418/48). Results will be disseminated via academic publications and public and policy engagement activities. In this study, the care for an estimated 15 000 babies across three sites will be impacted. TRIAL REGISTRATION NUMBER: NCT0512707; Pre-results.

Outcomes of a Presurgical Optimization Program for Elective Hernia Repairs Among High-risk Patients.

Importance: Preoperative optimization is an important clinical strategy for reducing morbidity; however, nearly 25% of persons undergoing elective abdominal hernia repairs are not optimized with respect to weight or substance use. Although the preoperative period represents a unique opportunity to motivate patient health behavior changes, fear of emergent presentation and financial concerns are often cited as clinician barriers to optimization. Objective: To evaluate the feasibility of evidence-based patient optimization before surgery by implementing a low-cost preoperative optimization clinic. Design, Setting, and Participants: This quality improvement study was conducted 1 year after a preoperative optimization clinic was implemented for high-risk patients seeking elective hernia repair. The median (range) follow-up was 197 (39-378) days. A weekly preoperative optimization clinic was implemented in 2019 at a single academic center. Referral occurred for persons seeking elective hernia repair with a body mass index greater than or equal to 40, age 75 years or older, or active tobacco use. Data analysis was performed from February to July 2020. Exposures: Enrolled patients were provided health resources and longitudinal multidisciplinary care. Main Outcomes and Measures: The primary outcomes were safety and eligibility for surgery after participating in the optimization clinic. The hypothesis was that the optimization clinic could preoperatively mitigate patient risk factors, without increasing patient risk. Safety was defined as the occurrence of complications during participation in the optimization clinic. The secondary outcome metric centered on the financial impact of implementing the preoperative optimization program. Results: Of the 165 patients enrolled in the optimization clinic, most were women (90 patients [54.5%]) and White (145 patients [87.9%]). The mean (SD) age was 59.4 (15.8) years. Patients' eligibility for the clinic was distributed across high-risk criteria: 37.0% (61 patients) for weight, 26.1% (43 patients) for tobacco use, and 23.6% (39 patients) for age. Overall, 9.1% of persons (15 patients) were successfully optimized for surgery, and tobacco cessation was achieved in 13.8% of smokers (8 patients). The rate of hernia incarceration requiring emergent surgery was 3.0% (5 patients). Economic evaluation found increased operative yield from surgical clinics, with a 58% increase in hernia-attributed relative value units without altering surgeon workflow. Conclusions and Relevance: In this quality improvement study, a hernia optimization clinic safely improved management of high-risk patients and increased operative yield for the institution. This represents an opportunity to create sustainable and scalable models that provide longitudinal care and optimize patients to improve outcomes of hernia repair.

Disparities between Operative Time and Relative Value Units for Plastic Surgery Procedures.

BACKGROUND: Plastic surgeons are evaluated not only by the number of patients served but also by relative value, quantified by the Medicare relative value unit system, which can affect advancement and compensation. Procedures that demand a high operative time without an increase in relative value units are, by definition, inefficient. The purpose of this study was to determine whether the number of relative value units actually corresponds to operative time. METHODS: The National Surgical Quality Improvement Program data sets over a 9-year period were queried for plastic surgery operations. The primary CPT codes representing the 100 most common operations were compared for operative time and total relative value units. RESULTS: A total of 53,701 cases were included. There was a high degree of correlation between operative time and number of relative value units (Pearson correlation coefficient, 0.82). The average efficiency was 10.201 ± 3.386 relative value units per hour. Pressure ulcer excisions and breast reconstruction were among the most efficient (e.g., Excision, sacral pressure ulcer, CPT 19357, generated 20.819 relative value units per hour). Skin excisions, débridements, and flap delays were among the least efficient (e.g., Excision, excessive skin and subcutaneous tissue, CPT 15847, generated 1.752 relative value units per hour). CONCLUSIONS: As a general trend, the most common plastic surgical procedures requiring longer operative times are associated with more relative value units. Cases with higher relative value units assigned tended to be more efficient. For the 100 most common procedures, relative value units and operative time are not evenly distributed. These data suggest modifications to the current relative value unit designation system to more equally allocate these units based on effort and time.

Year 1 of the Bundled Payments for Care Improvement-Advanced Model.

BACKGROUND: The Center for Medicare and Medicaid Innovation launched the Medicare Bundled Payments for Care Improvement-Advanced (BPCI-A) program for hospitals in October 2018. Information is needed about the effects of the program on health care utilization and Medicare payments. METHODS: We conducted a modified segmented regression analysis using Medicare claims and including patients with discharge dates from January 2017 through September 2019 to assess differences between BPCI-A participants and two control groups: hospitals that never joined the BPCI-A program (nonjoining hospitals) and hospitals that joined the BPCI-A program in January 2020, after the conclusion of the intervention period (late-joining hospitals). The primary outcomes were the differences in changes in quarterly trends in 90-day per-episode Medicare payments and the percentage of patients with readmission within 90 days after discharge. Secondary outcomes were mortality, volume, and case mix. RESULTS: A total of 826 BPCI-A participant hospitals were compared with 2016 nonjoining hospitals and 334 late-joining hospitals. Among BPCI-A hospitals, the mean baseline 90-day per-episode Medicare payment was $27,315; the change in the quarterly trends in the intervention period as compared with baseline was -$78 per quarter. Among nonjoining hospitals, the mean baseline 90-day per-episode Medicare payment was $25,994; the change in quarterly trends as compared with baseline was -$26 per quarter (difference between nonjoining hospitals and BPCI-A hospitals, $52 [95% confidence interval {CI}, 34 to 70] per quarter; P<0.001; 0.2% of the baseline payment). Among late-joining hospitals, the mean baseline 90-day per-episode Medicare payment was $26,807; the change in the quarterly trends as compared with baseline was $4 per quarter (difference between late-joining hospitals and BPCI-A hospitals, $82 [95% CI, 41 to 122] per quarter; P<0.001; 0.3% of the baseline payment). There were no meaningful differences in the changes with regard to readmission, mortality, volume, or case mix. CONCLUSIONS: The BPCI-A program was associated with small reductions in Medicare payments among participating hospitals as compared with control hospitals. (Funded by the National Heart, Lung, and Blood Institute.).

Using Patient-Reported Outcomes toAssess Healthcare Quality: Toward Better Measurement of Patient-Centered Care in Cardiovascular Disease.

Patient-reported outcomes (PROs) are elicited directly from patients so they can describe their overall health status, including their symptoms, function, and quality of life. While commonly used as end points in clinical trials, PROs can play an important role in routine clinical care, population health management, and as a means for quantifying the quality of patient care. In this review, we propose that PROs be used to improve patient-centered care in the treatment of cardiovascular diseases given their importance to patients and society and their ability to improve doctor- provider communication. Furthermore, given the current variability in patients' health status across different clinics and the fact that PROs can be improved by titrating therapy, we contend that PROs have a key opportunity to serve as measures of healthcare quality.

Improving clinical documentation of evaluation and management care and patient acuity improves reimbursement as well as quality metrics.

OBJECTIVE: Accurate documentation of patient care and acuity is essential to determine appropriate reimbursement as well as accuracy of key publicly reported quality metrics. We sought to investigate the impact of standardized note templates by inpatient advanced practice providers (APPs) on evaluation and management (E/M) charge capture, including outside of the global surgical package (GSP), and quality metrics including case mix index (CMI) and mortality index (MI). We hypothesized this clinical documentation initiative as well as improved coding of E/M services would result in increased reimbursement and quality metrics. METHODS: A documentation and coding initiative on the heart and vascular service line was initiated in 2016 with focus on improving inpatient E/M capture by APPs outside the GSP. Comprehensive training sessions and standardized documentation templates were created and implemented in the electronic medical record. Subsequent hospital care E/M (current procedural terminology codes 99231, 99232, 99233) from the years 2015 to 2017 were audited and analyzed for charge capture rates, collections, work relative value units (wRVUs), and billing complexity. Data were compared over time by standardizing CMS values and reimbursement rates. In addition, overall CMI and MI were calculated each year. RESULTS: One year following the documentation initiative, E/M charges on the vascular surgery service line increased by 78.5% with a corresponding increase in APP charges from 0.4% of billable E/M services to 70.4% when compared with pre-initiative data. The charge capture of E/M services among all inpatients rose from 21.4% to 37.9%. Additionally, reimbursement from CMS increased by 65% as total work relative value units generated from E/M services rose by 78.4% (797 to 1422). The MI decreased over the study period by 25.4%. Additionally, there was a corresponding 5.6% increase in the cohort CMI. Distribution of E/M encounter charges did not vary significantly. Meanwhile, the prevalence of 14 clinical comorbidities in our cohort as well as length of stay (P = .88) remained non-statistically different throughout the study period. CONCLUSIONS: Accurate clinical documentation of E/M care and ultimately inpatient acuity is critical in determining quality metrics that serve as important measures of overall hospital quality for CMS value-based payments and rankings. A system-based documentation initiative and expanded role of inpatient APPs on vascular surgery teams significantly improved charge capture and reimbursement outside the GSP as well as CMI and MI in a consistently complex patient population.

Cost Burden and Cost-Effective Analysis of the Nationwide Implementation of the Quality in Acute Stroke Care Protocol in Australia.

OBJECTIVES: The Quality in Acute Stroke Care (QASC) protocol is a multidisciplinary approach to implement evidence-based treatment after acute stroke that reduces death and disability. This study sought to evaluate the cost-effectiveness of implementing the QASC protocol across Australia, from a healthcare and a societal perspective. MATERIALS AND METHODS: A decision-analytic model was constructed to reflect one-year outcomes post-stroke, aligned with the stroke severity categories of the modified Rankin scale (mRS). Decision analysis compared outcomes following implementation of the QASC protocol versus no implementation. Population data were extracted from Australian databases and data inputs regarding stroke incidence, costs, and utilities were drawn from published sources. The analysis assumed a progressive uptake and efficacy of the QASC protocol over five years. Health benefits and costs were discounted by 5% annually. The cost of each year lived by an Australian, from a societal perspective, was based on the Australian Government's 'value of statistical life year' (AUD 213,000). RESULTS: Over five years, the model predicted 263,722 strokes among the Australian population. The implementation of the QASC protocol was predicted to prevent 1,154 deaths and yield a gain of 876 years of life (0.003 per stroke), and 3,180 quality-adjusted life years (QALYs) (0.012 per stroke). There was an estimated net saving of AUD 65.2 million in healthcare costs (AUD 247 per stroke) and AUD 251.7 million in societal costs (AUD 955 per stroke). CONCLUSIONS: Implementation of the QASC protocol in Australia represents both a dominant (cost-saving) strategy, from a healthcare and a societal perspective.

Economic Evaluation of New Models of Care: Does the Decision Change Between Cost-Utility Analysis and Multi-Criteria Decision Analysis?

OBJECTIVES: To experiment with new approaches of collaboration in healthcare delivery, local authorities implement new models of care. Regarding the local decision context of these models, multi-criteria decision analysis (MCDA) may be of added value to cost-utility analysis (CUA), because it covers a wider range of outcomes. This study compares the 2 methods using a side-by-side application. METHODS: A new Dutch model of care, Primary Care Plus (PC+), was used as a case study to compare the results of CUA and MCDA. Data of patients referred to PC+ or care-as-usual were retrieved by questionnaires and administrative databases with a 3-month follow-up. Propensity score matching together with generalized linear regression models was used to reduce confounding. Univariate and probabilistic sensitivity analyses were performed to explore uncertainty in the results. RESULTS: Although both methods indicated PC+ as the dominant alternative, complementary differences were observed. MCDA provided additional evidence that PC+ improved access to care (standardized performance score of 0.742 vs 0.670) and that improvement in health-related quality of life was driven by the psychological well-being component (standardized performance score of 0.710 vs 0.704). Furthermore, MCDA estimated the budget required for PC+ to be affordable in addition to preferable (€521.42 per patient). Additionally, MCDA was less sensitive to the utility measures used. CONCLUSIONS: MCDA may facilitate an auditable and transparent evaluation of new models of care by providing additional information on a wider range of outcomes and incorporating affordability. However, more effort is needed to increase the usability of MCDA among local decision makers.

Cost-effectiveness analysis of a quality improvement program to reduce caesarean sections in Brazilian private hospitals: a case study.

BACKGROUND: In 2015, a quality improvement project of childbirth care called Adequate Childbirth Project ("Projeto Parto Adequado"- PPA) was implemented in Brazilian public and private hospitals, aiming to improve the quality of childbirth care and to reduce caesarean sections without clinical indications. The objective of this study is to conduct an economic analysis of two models of care existing in a private Brazilian hospital-the model following the recommendations of the PPA and the standard of care model-in reducing the proportion of caesarean sections. METHODS: We conducted a cost-effectiveness analysis using data from one of the private hospitals included in the PPA project. The main outcome was the proportion of caesarean section. We used total cost of hospitalization for women and newborns, from the health care sector perspective, during the length of the observed hospital stay. We did not apply discount rates and inflation rate adjustments due to the short time horizon. We conducted univariate sensitivity analysis using the minimum and maximum costs observed in hospitalizations and variation in the probabilities of caesarean section and of maternal and neonatal complications. RESULTS: 238 puerperal women were included in this analysis. The PPA model of care resulted in a 56.9 percentage point reduction in the caesarean section probability (88.6% vs 31.7%, p < 0.001) with an incremental cost-effectiveness ratio of US$1,237.40 per avoided caesarean section. Women in the PPA model of care also had a higher proportion of spontaneous and induced labor and a lower proportion of early term births. There were no maternal, fetal or neonatal deaths and no significant differences in cases of maternal and neonatal near miss. The cost of uncomplicated vaginal births and caesarean sections was the parameter with the greatest impact on the cost-effectiveness ratio of the PPA model of care. CONCLUSION: The PPA model of care was cost-effective in reducing caesarean sections in women assisted in a Brazilian private hospital. Moreover, it reduced the frequency of early term births and did not increase the occurrence of severe negative maternal and neonatal outcomes.

Paying for performance to improve the delivery of health interventions in low- and middle-income countries.

BACKGROUND: There is growing interest in paying for performance (P4P) as a means to align the incentives of healthcare providers with public health goals. Rigorous evidence on the effectiveness of these strategies in improving health care and health in low- and middle-income countries (LMICs) is lacking; this is an update of the 2012 review on this topic. OBJECTIVES: To assess the effects of paying for performance on the provision of health care and health outcomes in low- and middle-income countries. SEARCH METHODS: We searched CENTRAL, MEDLINE, Embase, and 10 other databases between April and June 2018. We also searched two trial registries, websites, online resources of international agencies, organizations and universities, and contacted experts in the field. Studies identified from rerunning searches in 2020 are under 'Studies awaiting classification.' SELECTION CRITERIA: We included randomized or non-randomized trials, controlled before-after studies, or interrupted time series studies conducted in LMICs (as defined by the World Bank in 2018). P4P refers to the transfer of money or material goods conditional on taking a measurable action or achieving a predetermined performance target. To be included, a study had to report at least one of the following outcomes: patient health outcomes, changes in targeted measures of provider performance (such as the delivery of healthcare services), unintended effects, or changes in resource use. DATA COLLECTION AND ANALYSIS: We extracted data as per original review protocol and narratively synthesised findings. We used standard methodological procedures expected by Cochrane. Given diversity and variability in intervention types, patient populations, analyses and outcome reporting, we deemed meta-analysis inappropriate. We noted the range of effects associated with P4P against each outcome of interest. Based on intervention descriptions provided in documents, we classified design schemes and explored variation in effect by scheme design. MAIN RESULTS: We included 59 studies: controlled before-after studies (19), non-randomized (16) or cluster randomized trials (14);  and interrupted time-series studies (9). One study included both an interrupted time series and a controlled before-after study. Studies focused on a wide range of P4P interventions, including target payments and payment for outputs as modified by quality (or quality and equity assessments). Only one study assessed results-based aid. Many schemes were funded by national governments (23 studies) with the World Bank funding most externally funded schemes (11 studies). Targeted services varied; however, most interventions focused on reproductive, maternal and child health indicators. Participants were predominantly located in public or in a mix of public, non-governmental and faith-based facilities (54 studies). P4P was assessed predominantly at health facility level, though districts and other levels were also involved. Most studies assessed the effects of P4P against a status quo control (49 studies); however, some studies assessed effects against comparator interventions (predominantly enhanced financing intended to match P4P funds (17 studies)). Four studies reported intervention effects against both comparator and status quo. Controlled before-after studies were at higher risk of bias than other study designs. However, some randomised trials were also downgraded due to risk of bias. The interrupted time-series studies provided insufficient information on other concurrent changes in the study context. P4P compared to a status quo control For health services that are specifically targeted, P4P may slightly improve health outcomes (low certainty evidence), but few studies assessed this. P4P may also improve service quality overall (low certainty evidence); and probably increases the availability of health workers, medicines and well-functioning infrastructure and equipment (moderate certainty evidence). P4P may have mixed effects on the delivery and use of services (low certainty evidence) and may have few or no distorting unintended effects on outcomes that were not targeted (low-certainty evidence), but few studies assessed these. For secondary outcomes, P4P may make little or no difference to provider absenteeism, motivation or satisfaction (low certainty evidence); but may improve patient satisfaction and acceptability (low certainty evidence); and may positively affect facility managerial autonomy (low certainty evidence). P4P probably makes little to no difference to management quality or facility governance (low certainty evidence). Impacts on equity were mixed (low certainty evidence). For health services that are untargeted, P4P probably improves some health outcomes (moderate certainty evidence); may improve the delivery, use and quality of some health services but may make little or no difference to others (low certainty evidence); and may have few or no distorting unintended effects (low certainty evidence). The effects of P4P on the availability of medicines and other resources are uncertain (very low certainty evidence). P4P compared to other strategies For health outcomes and services that are specifically targeted, P4P may make little or no difference to health outcomes (low certainty evidence), but few studies assessed this. P4P may improve service quality (low certainty evidence); and may have mixed effects on the delivery and use of health services and on the availability of equipment and medicines (low certainty evidence). For health outcomes and services that are untargeted, P4P may make little or no difference to health outcomes and to the delivery and use of health services (low certainty evidence). The effects of P4P on service quality, resource availability and unintended effects are uncertain (very low certainty evidence). Findings of subgroup analyses Results-based aid, and schemes using payment per output adjusted for service quality, appeared to yield the greatest positive effects on outcomes. However, only one study evaluated results-based aid, so the effects may be spurious. Overall, schemes adjusting both for quality of service and rewarding equitable delivery of services appeared to perform best in relation to service utilization outcomes. AUTHORS' CONCLUSIONS: The evidence base on the impacts of P4P schemes has grown considerably, with study quality gradually increasing. P4P schemes may have mixed effects on outcomes of interest, and there is high heterogeneity in the types of schemes implemented and evaluations conducted. P4P is not a uniform intervention, but rather a range of approaches. Its effects depend on the interaction of several variables, including the design of the intervention (e.g., who receives payments ), the amount of additional funding,  ancillary components (such as technical support) and contextual factors (including organizational context).

Program for Supporting Frontline Improvement Projects in an Academic Radiology Department.

OBJECTIVE. The purpose of this study was to describe the results of an ongoing program implemented in an academic radiology department to support the execution of small- to medium-size improvement projects led by frontline staff and leaders. MATERIALS AND METHODS. Staff members were assigned a coach, were instructed in improvement methods, were given time to work on the project, and presented progress to department leaders in weekly 30-minute reports. Estimated costs and outcomes were calculated for each project and aggregated. An anonymous survey was administered to participants at the end of the first year. RESULTS. A total of 73 participants completed 102 projects in the first 2 years of the program. The project type mix included 25 quality improvement projects, 22 patient satisfaction projects, 14 staff engagement projects, 27 efficiency improvement projects, and 14 regulatory compliance and readiness projects. Estimated annualized outcomes included approximately 4500 labor hours saved, $315K in supply cost savings, $42.2M in potential increased revenues, 8- and 2-point increase in top-box patient experience scores at two clinics, and a 60-incident reduction in near-miss safety events. Participant time equated to approximately 0.35 full-time equivalent positions per year. Approximately 0.4 full-time equivalent was required to support the program. Survey results indicated that the participants generally viewed the program favorably. CONCLUSION. The program was successful in providing a platform for simultaneously solving a large number of organizational problems while also providing a positive experience to frontline personnel.

Improving quality, affordability, and equity of multiple sclerosis care.

OBJECTIVE: The prevailing approaches to selecting multiple sclerosis (MS) disease modifying therapies (DMTs) have contributed to exponential increases in societal expenditures and out-of-pocket expenses, without compelling evidence of improved outcomes. Guidance is lacking regarding when and in whom the benefits of preventing MS-related disability likely outweighs the risks of highly effective DMTs (HET) and when it is appropriate to consider DMT costs. Our objective was to develop a standardized approach to improve the quality, affordability and equity of MS care. METHODS: MS experts partnered with health plan pharmacists to develop an ethical, risk-stratified, cost-sensitive treatment algorithm. We developed a risk-stratification schema to classify patients with relapsing forms of MS as high, intermediate or low risk of disability based on the best available evidence and, when the evidence was poor or lacking, by consensus. DMTs are grouped as highly, modestly or low/uncertain effectiveness and preferentially ranked within groups by safety based on pre-specified criteria. We reviewed FDA documents and the published literature. When efficacy and safety are equivalent, the lower cost DMT is preferred. RESULTS: Assignment to the high-risk group prompts treatment with preferred HETs early in the disease course. For persons in the intermediate- or low-risk groups with cost or health care access barriers, we incorporated induction therapy with an affordable B-cell depleting agent. Based on more favorable safety profiles, our preferred approach prioritizes use of rituximab and natalizumab among HETs and interferon-betas or glatiramer acetate among modestly effective agents. INTERPRETATION: The risk-stratified treatment approach we recommend provides clear, measurable guidance in whom and when to prescribe HETs, when to prioritize lower cost DMTs and how to accommodate persons with MS with cost or other barriers to DMT use. It can be adapted to other cost structures and updated quickly as new information emerges. We recommend that physician groups partner with health insurance plans to adapt our approach to their settings, particularly in the United States. Future studies are needed to resolve the considerable uncertainty about how much variability in prognosis specific risk factors explain.

Excessive Health Care Spending Fails to Improve U.S. Population Health.

A recent analysis highlights waste and missed opportunities to improve outcomes.

The Affordable Care Act at 10 Years: Evaluating the Evidence and Navigating an Uncertain Future.

The year 2020 marks the 10th anniversary of the signing of the Affordable Care Act (ACA). Perhaps the greatest overhaul of the US health care system in the past 50 y, the ACA sought to expand access to care, improve quality, and reduce health care costs. Over the past decade, there have been a number of challenges and changes to the law, which remains in evolution. While the ACA's policies were not intended to specifically target surgical care, surgical patients, surgeons, and the health systems within which they function have all been greatly affected. This article aims to provide a brief overview of the impact of the ACA on surgical patients in reference to its tripartite aim of improving access, improving quality, and reducing costs.

Robotic total knee arthroplasty: A missed opportunity for cost savings in Bundled Payment for Care Improvement initiatives?

BACKGROUND: The use of robotic total knee arthroplasty has become increasingly prevalent. Proponents of robotic total knee arthroplasty tout its potential to not only improve outcomes, but also to reduce costs compared with traditional total knee arthroplasty. Despite its potential to deliver on the value proposition, whether robotic total knee arthroplasty has led to improved outcomes and cost savings within Medicare's Bundled Payment for Care Improvement initiative remains unexplored. METHODS: Medicare beneficiaries who underwent total knee arthroplasty designated under Medicare severity diagnosis related group 469 or 470 in the year 2017 were identified using the 100% Medicare Inpatient Standard Analytic Files. Hospitals participating in the Bundled Payment for Care Improvement were identified using the Bundled Payment for Care Improvement analytic file. We calculated risk-adjusted, price-standardized payments for the surgical episode from admission through 90-days postdischarge. Outcomes, utilization, and spending were assessed relative to variation between robotic and traditional total knee arthroplasty. RESULTS: Overall, 198,371 patients underwent total knee arthroplasty (traditional total knee arthroplasty: n= 194,020, 97.8% versus robotic total knee arthroplasty: n = 4,351, 2.2%). Among the 3,272 hospitals that performed total knee arthroplasty, only 300 (9.3%) performed robotic total knee arthroplasty. Among the 183 participating in the Bundled Payment for Care Improvement, only 40 (19%) hospitals performed robotic total knee arthroplasty. Risk-adjusted 90-day episode spending was $14,263 (95% confidence interval $14,231-$14,294) among patients who underwent traditional total knee arthroplasty versus $13,676 (95% confidence interval $13,467-$13,885) among patients who had robotic total knee arthroplasty. Patients who underwent robotic total knee arthroplasty had a shorter length of stay (traditional total knee arthroplasty: 2.3 days, 95% confidence interval: 2.3-2.3 versus robotic total knee arthroplasty: 1.9 days, 95% confidence interval: 1.9-2.0), as well as a lower incidence of complications (traditional total knee arthroplasty: 3.3%, 95% confidence interval: 3.2-3.3 versus robotic total knee arthroplasty: 2.7%, 95% confidence interval: 2.3-3.1). Of note, patients who underwent robotic total knee arthroplasty were less often discharged to a postacute care facility than patients who underwent traditional total knee arthroplasty (traditional total knee arthroplasty: 32.4%, 95% confidence interval: 32.3-32.5 versus robotic total knee arthroplasty: 16.8%, 95% confidence interval 16.1-17.6). Both Bundled Payment for Care Improvement and non-Bundled Payment for Care Improvement hospitals with greater than 50% robotic total knee arthroplasty utilization had lower spending per episode of care versus spending at hospitals with less than 50% robotic total knee arthroplasty utilization. CONCLUSION: Overall 90-day episode spending for robotic total knee arthroplasty was lower than traditional total knee arthroplasty (Δ $-587, 95% confidence interval: $-798 to $-375). The decrease in spending was attributable to shorter length of stay, fewer complications, as well as lower utilization of postacute care facility. The cost savings associated with robotic total knee arthroplasty was only realized when robotic total knee arthroplasty volume surpassed 50% of all total knee arthroplasty volume. Hospitals participating in the Bundled Payment for Care Improvement may experience cost-saving with increased utilization of robotic total knee arthroplasty.

Improving Quality of Carotid Interventions: Identifying Hospital-Level Structural Factors that can Improve Outcomes.

BACKGROUND: "Structural factors" relating to organization of hospitals may affect procedural outcomes. This study's aim was to clarify associations between structural factors and outcomes after carotid endarterectomy (CEA) and carotid endarterectomy stenting (CAS). METHODS: A systematic review of studies published in English since 2005 was conducted. Structural factors assessed were as follows: population size served by the vascular department; number of hospital beds; availability of dedicated vascular beds; established clinical pathways; surgical intensive care unit (SICU) size; and specialty of surgeon/interventionalist. Primary outcomes were as follows: mortality; stroke; cardiac complications; length of hospital stay (LOS); and cost. RESULTS: There were 11 studies (n = 95,100 patients) included in this systematic review. For CEA, reduced mortality (P < 0.0001) and stroke rates (P = 0.001) were associated with vascular departments serving >75,000 people. Larger hospitals were associated with lower mortality, stroke rate, and cardiac events, compared with smaller hospitals (less than 130 beds). Provision of vascular beds after CEA was associated with lower mortality (P = 0.0008) and fewer cardiac events (P = 0.03). Adherence to established clinical pathways was associated with reduced stroke and cardiac event rates while reducing CEA costs. Large SICUs (≥7 beds) and dedicated intensivists were associated with decreased mortality after CEA while a large SICU was associated with reduced stroke rate (P = 0.001). Vascular surgeons performing CEA were associated with lower stroke rates and shorter LOS (P = 0.0001) than other specialists. CAS outcomes were not influenced by specialty but costless when performed by vascular surgeons (P < 0.0001). CONCLUSIONS: Structural factors affect CEA outcomes, but data on CAS were limited. These findings may inform reconfiguration of vascular services, reducing risks and costs associated with carotid interventions.

Prolonged hospital length of stay in pediatric trauma: a model for targeted interventions.

BACKGROUND: In this study, trauma-specific risk factors of prolonged length of stay (LOS) in pediatric trauma were examined. Statistical and machine learning models were used to proffer ways to improve the quality of care of patients at risk of prolonged length of stay and reduce cost. METHODS: Data from 27 hospitals were retrieved on 81,929 hospitalizations of pediatric patients with a primary diagnosis of trauma, and for which the LOS was >24 h. Nested mixed effects model was used for simplified statistical inference, while a stochastic gradient boosting model, considering high-order statistical interactions, was built for prediction. RESULTS: Over 18.7% of the encounters had LOS >1 week. Burns and corrosion and suspected and confirmed child abuse are the strongest drivers of prolonged LOS. Several other trauma-specific and general pediatric clinical variables were also predictors of prolonged LOS. The stochastic gradient model obtained an area under the receiver operator characteristic curve of 0.912 (0.907, 0.917). CONCLUSIONS: The high performance of the machine learning model coupled with statistical inference from the mixed effects model provide an opportunity for targeted interventions to improve quality of care of trauma patients likely to require long length of stay. IMPACT: Targeted interventions on high-risk patients would improve the quality of care of pediatric trauma patients and reduce the length of stay. This comprehensive study includes data from multiple hospitals analyzed with advanced statistical and machine learning models. The statistical and machine learning models provide opportunities for targeted interventions and reduction in prolonged length of stay reducing the burden of hospitalization on families.