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Objective: To determine the budget impact of implementing multidisciplinary complex pain clinics (MCPCs) for Veterans Health Administration (VA) patients living with complex chronic pain and substance use disorder comorbidities who are on risky opioid regimens. Data Sources and Study Setting: We measured implementation costs for three MCPCs over 2 years using micro-costing methods. Intervention and downstream costs were obtained from the VA Managerial Cost Accounting System from 2 years prior to 2 years after opening of MCPCs. Study Design: Staff at the three VA sites implementing MCPCs were supported by Implementation Facilitation. The intervention cohort was patients at MCPC sites who received treatment based on their history of chronic pain and risky opioid use. Intervention costs and downstream costs were estimated with a quasi-experimental study design using a propensity score-weighted difference-in-difference approach. The healthcare utilization costs of treated patients were compared with a control group having clinically similar characteristics and undergoing the standard route of care at neighboring VA medical centers. Cancer and hospice patients were excluded. Data Collection/Extraction Methods: Activity-based costing data acquired from MCPC sites were used to estimate implementation costs. Intervention and downstream costs were extracted from VA administrative data. Principal Findings: Average Implementation Facilitation costs ranged from $380 to $640 per month for each site. Upon opening of three MCPCs, average intervention costs per patient were significantly higher than the control group at two intervention sites. Downstream costs were significantly higher at only one of three intervention sites. Site-level differences were due to variation in inpatient costs, with some confounding likely due to the COVID-19 pandemic. This evidence suggests that necessary start-up investments are required to initiate MCPCs, with allocations of funds needed for implementation, intervention, and downstream costs. Conclusions: Incorporating implementation, intervention, and downstream costs in this evaluation provides a thorough budget impact analysis, which decision-makers may use when considering whether to expand effective programming. KEYWORDS chronic pain, costs and cost analysis, economic evaluation, healthcare costs, implementation science What is known on this topic * Opioid-related morbidity and mortality affect over 2 million Americans per year and have extraordinarily high economic and societal costs. * Healthcare systems urgently need treatment models that address patients living with chronic pain who are prescribed opioids and have substance use disorders. * Healthcare decision-makers need cost information to determine how and when to implement multidisciplinary clinics for those living with complex chronic pain. What this study adds * This study evaluates the initial start-up costs of implementing a multidisciplinary pain clinic for patients living with complex chronic pain and taking risky opioids at three distinct VA hospitals, relying on Implementation Facilitation. * Implementation of multidisciplinary complex pain clinics require fairly little funding for implementation costs and more substantial funding for intervention and downstream costs to meet the needs of serving patients living with complex chronic pain. * Relatively similar budget impacts were observed at the facility-level across all three disparate VA sites, demonstrating robust estimates when presenting this clinic to decision-makers at new sites., 1 | INTRODUCTION Opioid use disorder (OUD) and opioid overdose deaths in the United States were estimated to cost $1.02 trillion in 2017, which includes healthcare-related costs and losses in [...]

1 | INTRODUCTION Maintaining health care access is a critical priority for the U.S. Department of Veterans Affairs (VA). Virtual care, or health care provided by phone or video, has [...], Objective: To identify which Veteran populations are routinely accessing video-based care. Data Sources and Study Setting: National, secondary administrative data from electronic health records at the Veterans Health Administration (VHA), 2019-2021. Study Design: This retrospective cohort analysis identified patient characteristics associated with the odds of using any video care; and then, among those with a previous video visit, the annual rate of video care utilization. Video care use was reported overall and stratified into care type (e.g., primary, mental health, and specialty video care) between March 10, 2020 and February 28, 2021. Data Collection: Veterans active in VA health care (>1 outpatient visit between March 11, 2019 and March 10, 2020) were included in this study. Principal Findings: Among 5,389,129 Veterans in this evaluation, approximately 27.4% of Veterans had at least one video visit. We found differences in video care utilization by type of video care: 14.7% of Veterans had at least one primary care video visit, 10.6% a mental health video visit, and 5.9% a specialty care video visit. Veterans with a history of housing instability had a higher overall rate of video care driven by their higher usage of video for mental health care compared with Veterans in stable housing. American Indian/Alaska Native Veterans had reduced odds of video visits, yet similar rates of video care when compared to White Veterans. Low-income Veterans had lower odds of using primary video care yet slightly elevated rates of primary video care among those with at least one video visit when compared to Veterans enrolled at VA without special considerations. Conclusions: Variation in video care utilization patterns by type of care identified Veteran populations that might require greater resources and support to initiate and sustain video care use. Our data support service specific outreach to homeless and American Indian/Alaska Native Veterans. KEYWORDS access to care, delivery of health care, COVID-19, disparities, telemedicine, Veterans

1 | INTRODUCTION Designing practical decision support tools and other types of health care technology for implementation science and quality improvement relies on a clear understanding of the cognitive processes [...], Objective: Designing practical decision support tools and other health care technology in health services research relies on a clear understanding of the cognitive processes that underlie the use of these tools. Unfortunately, methods to explore cognitive processes are rarely used in health services research. Thus, the objective of this manuscript is to introduce cognitive task analysis (CTA), a family of methods to study cognitive processes involved in completing a task, to a health services research audience. This methods article describes CTA procedures, proposes a framework for their use in health services research studies, and provides an example of its application in a pilot study. Data Sources and Study Setting: Observations and interviews of health care providers involved in discharge planning at six hospitals in the Veterans Health Administration. Study Design: Qualitative study of discharge planning using CTA. Data Collection/Extraction Methods: Data were collected from structured observations and semi-structured interviews using the Critical Decision Method and analyzed using thematic analysis. Principal Findings: We developed an adaptation of CTA that could be used in a clinical environment to describe clinical decision-making and other cognitive processes. The adapted CTA framework guides the user through four steps: (1) Planning, (2) Environmental Analysis, (3) Knowledge Elicitation, and (4) Analyses and Results. This adapted CTA framework provides an iterative and systematic approach to identifying and describing the knowledge, expertise, thought processes, procedures, actors, goals, and mental strategies that underlie completing a clinical task. Conclusions: A better understanding of the cognitive processes that underly clinical tasks is key to developing health care technology and decision-support tools that will have a meaningful impact on processes of care and patient outcomes. Our adapted framework offers a more rigorous and detailed method for identifying task-related cognitive processes in implementation studies and quality improvement. Our adaptation of this underutilized qualitative research method may be helpful to other researchers and inform future research in health services research. KEYWORDS care coordination, cognitive task analysis, discharge planning, qualitative research, surgery

What is known on this topic? * Theory predicts that an increase in the public allocation of home- and community-based services will decrease the utilization of its substitutes (e.g., institutional [...], Objective: To determine whether the Veterans Health Administration's (VHA) efforts to expand access to home- and community-based services (HCBS) after the 2001 Millennium Act significantly changed Veterans' utilization of institutional, paid home, and unpaid home care relative to a non-VHA user Medicare population that was not exposed to HCBS expansion efforts. Data Sources: We used linkages between the Health and Retirement Study and VHA administrative data from 1998 until 2012. Study Design: We conducted a retrospective-matched cohort study using coarsened exact matching to ensure balance on observable characteristics for VHA users (n = 943) and nonusers (n = 6106). We used a difference-in-differences approach with a person fixed-effects estimator. Data Collection/Extraction Methods: Individuals were eligible for inclusion in the analysis if they were age 65 or older and indicated that they were covered by Medicare insurance in 1998. Individuals were excluded if they were covered by Medicaid insurance at baseline. Individuals were considered exposed to VHA HCBS expansion efforts if they were enrolled in the VHA and used VHA services. Principal Findings: Theory predicts that an increase in the public allocation of HCBS will decrease the utilization of its substitutes (e.g., institutional care and unpaid caregiving). We found that after the Millennium Act was passed, there were no observed differences between VHA users and nonusers in the probability of using institutional long-term care (0.7% points, 95% CI: -0.009, 0.022) or in receiving paid help with activities of daily living (0.06% points, 95% CI: -0.011, 0.0125). VHA users received more hours of unpaid care post-Millennium Act (1.48, 95% CI: -0.232, 3.187), though this effect was not significant once we introduced controls for mental health. Conclusions: Our findings indicate that mandating access to HCBS services does not necessarily imply that access to these services will follow suit. KEYWORDS home- and community-based services, institutional care, long-term care, unpaid caregiving, Veterans Health Administration

1 | INTRODUCTION The Veterans Access, Choice and Accountability Act of 2014 ('Choice') was enacted in direct response to an 'access crisis' involving long waitlists and delays in care. (1)' [...], Objectives: To compare 90-day postoperative complication rates between Veterans receiving cataract surgery in VA vs Community Care (CC) during the first year of implementation of the Veterans Choice Act. Data Sources: Fiscal Year (FY) 2015 VA and CC outpatient data from VA's Corporate Data Warehouse (CDW) 10/01/14-9/30/15). FY14 data were used to obtain baseline clinical information prior to surgery. Study Design: Retrospective one-year study using secondary data to compare 90-day complication rates following cataract surgery (measured using National Quality Forum (NQF) criteria) in VA vs CC. NQF defines major complications from a specified list of Current Procedural Terminology (CPT) codes. We ran a series of logistic regression models to predict 90-day complication rates, adjusting for Veterans' sociodemographic characteristics, comorbidities, preoperative ocular conditions, eye risk group, and type of cataract surgery (classified as routine vs complex). Data Collection: We linked VA and CC users through patient identifiers obtained from the CDW files. Our sample included all enrolled Veterans who received outpatient cataract surgery either in the VA or through CC during FY15. Cataract surgeries were identified through CPT codes 66 984 (routine) and 66 982 (complex). Principal Findings: Of the 83,879 cataract surgeries performed in FY15, 31 percent occurred through CC. Undergoing complex surgery and having a high-risk eye (based on preoperative ocular conditions) were the strongest clinical predictors of 90-day postoperative complications. Overall, we found low complication rates, ranging from 1.1 percent in low-risk eyes to 3.6 percent in high-risk eyes. After adjustment for important confounders (eg, race, rurality, and preoperative ocular conditions), there were no statistically significant differences in 90-day complication rates between Veterans receiving cataract surgery in VA vs CC. Conclusions: As more Veterans seek care through CC, future studies should continue to monitor quality of care across the two care settings to help inform VA's "make vs buy decisions." KEYWORDS community health services, postoperative complications, quality of health care, safety, veterans

IMPORTANCE: Care transition models are structured approaches used to ensure the smooth transfer of patients between health care settings or levels of care, but none currently are tailored to the surgical patient. Tailoring care transition models to the unique needs of surgical patients may lead to significant improvements in surgical outcomes and reduced care fragmentation. The first step to developing surgical care transition models is to understand the surgical discharge process. OBJECTIVE: To map the surgical discharge process in a sample of US hospitals and identify key components and potential challenges specific to a patient’s discharge after surgery. DESIGN, SETTING, AND PARTICIPANTS: This qualitative study followed a cognitive task analysis framework conducted between January 1, 2022, and April 1, 2023, in Veterans Health Administration (VHA) hospitals. Observations (n = 16) of discharge from inpatient care after a surgical procedure were conducted in 2 separate VHA surgical units. Interviews (n = 13) were conducted among VHA health care professionals nationwide. EXPOSURE: Postoperative hospital discharge. MAIN OUTCOMES AND MEASURES: Data were coded according to the principles of thematic analysis, and a swim lane process map was developed to represent the study findings. RESULTS: At the hospitals in this study, the discharge process observed for a surgical patient involved multidisciplinary coordination across the surgery team, nursing team, case managers, dieticians, social services, occupational and physical therapy, and pharmacy. Important components for a surgical discharge that were not incorporated in the current care transition models included wound care education and supplies; pain control; approvals for nonhome postdischarge locations; and follow-up plans for wounds, ostomies, tubes, and drains at discharge. Potential challenges to the surgical discharge process included social situations (eg, home environment and caregiver availability), team communication issues, and postdischarge care coordination. CONCLUSIONS AND RELEVANCE: These findings suggest that current and ongoing studies of discharge care transitions for a patient after surgery should consider pain control; wounds, ostomies, tubes, and drains; and the impact of challenging social situations and interdisciplinary team coordination on discharge success.

The Veterans Access, Choice and Accountability Act ('Choice Act') was passed in August 2014 in direct response to an 'access crisis' involving long waitlists and delays in care (Shulkin 2017; [...], Objective. To assess differences in risk (measured by expected costs associated with sociodemographic and clinical profiles) between Veterans receiving outpatient services through two community care (CC) programs: the Fee program ('Fee') and the Veterans Choice Program ('Choice').Data Sources/Study Setting. Administrative data from VHA's Corporate Data Warehouse in fiscal years (FY) 2014-2015.Study Design. We compared the clinical characteristics of Veterans across three groups (Fee only, Choice only, and Fee & Choice). We classified Veterans into risk groups based on Nosos risk scores and examined the relationship between type of outpatient utilization and risk within each CC group. We also examined changes in utilization of VHA and CC in FY14-FY15. We used chi-square tests, t tests, and ANOVAs to identify significant differences between CC groups.Principal Findings. Of the 1,400,977 Veterans using CC in FY 15, 91.4 percent were Fee-only users, 4.4 percent Choice-only users, and 4.2 percent Fee & Choice users. Mean concurrent risk scores were higher for Fee only and Fee & Choice (1.9, SD = 2.7; 1.8, SD = 2.2) compared to Choice-only users (1.0, SD = 1.2) (p < .0001). Most CC users were 'dual users' of both VHA and CC in FY14-FY15.Conclusions. As care transitions from VHA to CC, VHA should consider how best to coordinate care with community providers to reduce duplication of efforts, improve handoffs, and achieve the best outcomes for Veterans.Key Words. Veterans, risk score, purchased care, Veterans Choice Program, traditional fee basis

A small proportion of patients account for the majority of health care expenditures; this is true across various populations and health systems (Garber, MaCurdy, and McClellan 1997; Berk and Monheit [...], Objectives. To examine high-cost patients in VA and factors associated with persistence in high costs over time. Data Sources. Secondary data for FY2008-2012. Data Extraction. We obtained VA and Medicare utilization and cost records for VA enrollees and drew a 20 percent random sample (N = 1,028,568). Study Design. We identified high-cost patients, defined as those in the top 10 percent of combined VA and Medicare costs, and determined the number of years they remained high cost over 4 years. We compared sociodemographics, clinical characteristics, and baseline utilization by number of high-cost years and conducted a discrete time survival analysis to predict high-cost persistence. Principal Findings. Among 105,703 patients with the highest 10 percent of costs at baseline, 68 percent did not remain high cost in subsequent years, 32 percent had high costs after 1 year, and 7 percent had high costs in all four follow-up years. Mortality, which was 47 percent by end of follow-up, largely explained low persistence. The largest percentage of patients who persisted as high cost until end of follow-up was for spinal cord injury (16 percent). Conclusion. Most high-cost patients did not remain high cost in subsequent years, which poses challenges to providers and payers to manage utilization of these patients. Key Words. High cost, utilization, chronic disease

Large clinical databases provide a foundation for policy makers and health system managers to track performance metrics across health care systems and over time. Such tracking is necessary to build [...], Objective. To compare risk scores computed by DxCG (Verisk) and Centers for Medicare and Medicaid Services (CMS) V21. Research Design. Analysis of administrative data from the Department of Veterans Affairs (VA) for fiscal years 2010 and 2011. Study Design. We regressed total annual VA costs on predicted risk scores. Model fit was judged by R-squared, root mean squared error, mean absolute error, and Hosmer-Lemeshow goodness-of-fit tests. Recalibrated models were tested using split samples with pharmacy data. Data Collection. We created six analytical files: a random sample (n = 2 million), high cost users (n = 261,487), users over age 75 (n = 644,524), mental health and substance use users (n = 830,832), multimorbid users (n = 817,951), and low-risk users (n = 78,032). Principal Findings. The DxCG Medicaid with pharmacy risk score yielded substantial gains in fit over the V21 model. Recalibrating the V21 model using VA pharmacy data-generated risk scores with similar fit statistics to the DxCG risk scores. Conclusions. Although the CMS V21 and DxCG prospective risk scores were similar, the DxCG model with pharmacy data offered improved fit over V21. However, health care systems, such as the VA, can recalibrate the V21 model with additional variables to develop a tailored risk score that compares favorably to the DxCG models. Key Words. Risk adjustment, cost, performance measurement, health economics

IMPORTANCE: Breast reconstruction is costly, and negotiated commercial rates have been hidden from public view. The Hospital Price Transparency Rule was enacted in 2021 to facilitate market competition and lower health care costs. Breast reconstruction pricing should be analyzed to evaluate for market effectiveness and opportunities to lower the cost of health care. OBJECTIVE: To evaluate the extent of commercial price variation for breast reconstruction. The secondary objective was to characterize the price of breast reconstruction in relation to market concentration and payer mix. DESIGN, SETTING, AND PARTICIPANTS: This was a cross-sectional study conducted from January to April 2022 using 2021 pricing data made available after the Hospital Price Transparency Rule. National data were obtained from Turquoise Health, a data service platform that aggregates price disclosures from hospital websites. Participants were included from all hospitals with disclosed pricing data for breast reconstructive procedures, identified by Current Procedural Terminology (CPT) code. MAIN OUTCOMES AND MEASURES: Price variation was measured via within- and across-hospital ratios. A mixed-effects linear model evaluated commercial rates relative to governmental rates and the Herfindahl-Hirschman Index (health care market concentration) at the facility level. Linear regression was used to evaluate commercial rates as a function of facility characteristics. RESULTS: A total of 69 834 unique commercial rates were extracted from 978 facilities across 335 metropolitan areas. Commercial rates increased as health care markets became less competitive (coefficient, $4037.52; 95% CI, $700.12 to $7374.92; P = .02; for Herfindahl-Hirschman Index [HHI] 1501-2500, coefficient $3290.21; 95% CI, $878.08 to $5702.34; P = .01; both compared with HHI ≤1500). Commercial rates demonstrated economically insignificant associations with Medicare and Medicaid rates (Medicare coefficient, −$0.05; 95% CI, −$0.14 to $0.03; P = .23; Medicaid coefficient, $0.14; 95% CI, $0.07 to $0.22; P &lt; .001). Safety-net and nonprofit hospitals reported lower commercial rates (coefficient, −$3269.58; 95% CI, −$3815.42 to −$2723.74; P &lt; .001 and coefficient, −$1892.79; −$2519.61 to −$1265.97; P &lt; .001, respectively). Extra-large hospitals (400+ beds) reported higher commercial rates compared with their smaller counterparts (coefficient, $1036.07; 95% CI, $198.29 to $1873.85, P = .02). CONCLUSIONS AND RELEVANCE: Study results suggest that commercial rates for breast reconstruction demonstrated large nationwide variation. Higher commercial rates were associated with less competitive markets and facilities that were large, for-profit, and nonsafety net. Privately insured patients with breast cancer may experience higher premiums and deductibles as US hospital market consolidation and for-profit hospitals continue to grow. Transparency policies should be continued along with actions that facilitate greater health care market competition. There was no evidence that facilities increase commercial rates in response to lower governmental rates.

Trauma patients approved for Hospital Presumptive Eligibility temporary medicaid insurance at the time of injury have a 70% successful Medicaid sustainment rate at 6 months from initial trauma

AbstractBackground: A minority of individuals meeting diagnostic criteria for alcohol use disorders (AUD) receive any type of formal treatment. Developing options for AUD treatment within primary care settings is imperative to increase treatment access. A multi-faceted implementation intervention including provider and patient education, clinician reminders, development of local champions and ongoing facilitation was designed to enhance access to AUD pharmacotherapy in primary care settings at three large Veterans Health Administration (VHA) facilities. This qualitative study compared pre-implementation barriers to post-implementation barriers identified via provider interviews to identify those barriers addressed and not addressed by the intervention to better understand the limited impact of the intervention. Methods: Following the nine-month implementation period, primary care providers at the three participating facilities took part in qualitative interviews to collect perceptions regarding which pre-implementation barriers had and had not been successfully addressed by the intervention. Participants included 20 primary care providers from three large VHA facilities. Interviews were coded using common coding techniques for qualitative data using the Consolidated Framework for Implementation Research (CFIR) codebook. Summary reports were created for each CFIR construct for each facility and the impact of each CFIR construct on implementation was coded as positive, neutral, or negative. Results: Some barriers identified during pre-implementation interviews were no longer identified as barriers in the post-implementation interviews. These included Relative Advantage, Relative Priority, and Knowledge & Beliefs about the Innovation. However, Compatibility, Design Quality & Packaging, and Available Resources remained barriers at the end of the implementation period. No substantial new barriers were identified. Conclusions: The implementation intervention appears to have been successful at addressing barriers that could be mitigated with traditional educational approaches. However, the intervention did not adequately address structural and organizational barriers to implementation. Recommendations for enhancing future interventions are provided.

IMPORTANCE: The US Department of Veterans Affairs (VA) Veterans Choice Program (VCP) expanded health care access to community settings outside the VA for eligible patients. Little is known about the effect of VCP on access to surgery and postoperative outcomes. Since its initiation, care coordination issues, which are often associated with adverse postoperative outcomes, have been reported. Research findings on the association of VCP and postoperative outcomes are limited to only a few select procedures and have been mixed, potentially due to bias from unmeasured confounding. OBJECTIVE: To investigate the association of the VCP with access to surgery and postoperative outcomes using a nonrandomized controlled regression discontinuity design (RDD) to reduce the impact of unmeasured confounders. DESIGN, SETTING, AND PARTICIPANTS: This was a nonrandomized RDD study of the Veterans Health Administration (VHA). Participants included veterans enrolled in the VHA who required surgery between October 1, 2014, and June 1, 2019. INTERVENTIONS: The VCP, which expanded access to VA-paid community care for eligible veterans living 40 miles or more from their closest VA hospital. MAIN OUTCOMES AND MEASURES: Postoperative emergency department visits, inpatient readmissions, and mortality at 30 and 90 days. RESULTS: A total of 615 473 unique surgical procedures among 498 427 patients (mean [SD] age, 63.0 [12.9] years; 450 366 male [90.4%]) were identified. Overall, 94 783 procedures (15.4%) were paid by the VHA, and the proportion of VHA-paid procedures varied by procedure type. Patients who underwent VA-paid procedures were more likely to be women (9209 [12.7%] vs men, 38 771 [9.1%]), White race (VA paid, 54 544 [74.4%] vs VA provided, 310 077 [73.0%]), and younger than 65 years (VA paid, 36 054 [49.1%] vs 229 411 [46.0%] VA provided), with a significantly lower comorbidity burden (mean [SD], 1.8 [2.2] vs 2.6 [2.7]). The nonrandomized RDD revealed that VCP was associated with a slight increase of 0.03 in the proportion of VA-paid surgical procedures among eligible veterans (95% CI, 0.01-0.05; P = .01). However, there was no difference in postoperative mortality, readmissions, or emergency department visits. CONCLUSIONS AND RELEVANCE: Expanded access to health care in the VHA was associated with a shift in the performance of surgical procedures in the private sector but had no measurable association with surgical outcomes. These findings may assuage concerns of worsened patient outcomes resulting from care coordination issues when care is expanded outside of a single health care system, although it remains unclear whether these additional procedures were appropriate or improved patient outcomes.

Consumers are increasingly turning to the Internet to obtain information about health and health care. Internet use has grown dramatically over the last decade (Pew Research Center 2005) and searching [...], Objective. To determine what types of consumers use the Internet as a source of health information. Data Sources. A survey of consumer use of the Internet for health information conducted during December 2001 and January 2002. Study Design. We estimated multivariate regression models to test hypotheses regarding the characteristics of consumers that affect information seeking behavior. Data Collection. Respondents were randomly sampled from an Internet-enabled panel of over 60,000 households. Our survey was sent to 12,878 panel members, and 69.4 percent of surveyed panel members responded. We collected information about respondents' use of the Internet to search for health information and to communicate about health care with others using the Internet or e-mail within the last year. Principal Findings. Individuals with reported chronic conditions were more likely than those without to search for health information on the Internet. The uninsured, particularly those with a reported chronic condition, were more likely than the privately insured to search. Individuals with longer travel times for their usual source of care were more likely to use the Internet for health-related communication than those with shorter travel times. Conclusions. Populations with serious health needs and those facing significant barriers in accessing health care in traditional settings turn to the Internet for health information. Key Words. Internet, health information, uninsured, travel time, chronic conditions

OBJECTIVE--To identify problems laced by older adults with diabetes due to out-of-pocket medication costs. RESEARCH DESIGN AND METHODS--In this cross-sectional national survey of 875 adults with diabetes treated with hypoglycemic [...]

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Findings of a recent study are interesting, but misinterpretation is a matter of concern since th e intervention, which was labor-intensive, was not found to be of economic significance for nursing homes (NHs) . It is inappropriate to have cost savings as the criterion for adoption . Th e q uality-adjusted life year (QALY ) model is the preferred health effects metric. Demographics and Medicaid, Medicare, and the Department of Veterans Affairs and their resources and motivations, as well as those of NHs, are discussed. Incontinence statistics for NHs are included.

IMPORTANCE: Medicare hospice beneficiaries discontinue disease-modifying treatments because the hospice benefit limits access. While veterans have concurrent access to hospice care and Veterans Affairs (VA) Medical Center (VAMC)-provided treatments, the association of this with changes in treatment and costs of veterans’ end-of-life care is unknown. OBJECTIVE: To determine whether increasing availability of hospice care, without restrictions on disease-modifying treatments, is associated with reduced aggressive treatments and medical care costs at the end of life. DESIGN, SETTING, AND PARTICIPANTS: A modified difference-in-differences study design, using facility fixed effects, compared patient outcomes during years with relatively high vs lower hospice use. This study evaluated 13 085 veterans newly diagnosed with stage IV non–small cell lung cancer (NSCLC) from 113 VAMCs with a minimum of 5 veterans diagnosed with stage IV NSCLC per year, between 2006 and 2012. Data analyses were conducted between January 2017 and July 2018. EXPOSURES: Using VA inpatient, outpatient, pharmacy claims, and similar Medicare data, we created VAMC-level annual aggregates of all patients who died of cancer for hospice use, cancer treatment, and/or concurrent receipt of both in the last month of life, dividing all VAMC years into quintiles of exposure to hospice availability. MAIN OUTCOMES AND MEASURES: Receipt of aggressive treatments (2 or more hospital admissions within 30 days, tube feeding, mechanical ventilation, intensive care unit [ICU] admission) and total costs in the first 6 months after diagnosis. RESULTS: Of the 13 085 veterans included in the study, 12 858 (98%) were men; 10 531 (81%) were white, and 5949 (46%) were older than 65 years. Veterans with NSCLC treated in a VAMC in the top hospice quintile (79% hospice users), relative to the bottom quintile (55% hospice users), were more than twice as likely to have concurrent cancer treatment after initiating hospice care (adjusted odds ratio [AOR], 2.28; 95% CI, 1.67-3.31). Nonetheless, for veterans with NSCLC seen in VAMCs in the top hospice quintile, the AOR of receiving aggressive treatment in the 6 months after diagnosis was 0.66 (95% CI, 0.53-0.81), and the AOR of ICU use was 0.78 (95% CI, 0.62-0.99) relative to patients seen in VAMCs in the bottom hospice quintile. The 6-month costs were lower by an estimated $266 (95% CI, −$358 to −$164) per day for the high-quintile group vs the low-quintile group. There was no survival difference. CONCLUSIONS AND RELEVANCE: Increasing the availability of hospice care without restricting treatment access for veterans with advanced lung cancer was associated with less aggressive medical treatment and significantly lower costs while still providing cancer treatment.

Hospital Presumptive Eligibility (HPE) is an emergency Medicaid program that helps trauma patients secure insurance, alleviate medical bills and improve outpatient access to care, while reducing hospital readmissions

Many women choose behavioral interventions as a first-line treatment for urinary incontinence. We developed a 20-minute abbreviated video, which proved to be similar to a 2-hour in-person class in a randomized trial. This study examines economic end points for the 20-minute video relative to the 2-hour class.

IMPORTANCE: Postoperative readmission data are used to measure hospital performance, yet the extent to which these readmissions reflect surgical quality is unknown. OBJECTIVE: To establish expert consensus on whether reasons for postoperative readmission are associated with the quality of surgery in the index admission. DESIGN, SETTING, AND PARTICIPANTS: In a modified Delphi process, a panel of 14 experts in medical and surgical readmissions comprising physicians and nonphysicians from Veterans Affairs (VA) and private-sector institutions reviewed 30-day postoperative readmissions from fiscal years 2008 through 2014 associated with inpatient surgical procedures performed at a VA medical center between October 1, 2007, and September 30, 2014. The consensus process was conducted from January through May 2017. Reasons for readmission were grouped into categories based on International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Panelists were given the proportion of readmissions coded by each reason and median (interquartile range) days to readmission. They answered the question, “Does the readmission reason reflect possible surgical quality of care problems in the index admission?” on a scale of 1 (never related) to 5 (directly related) in 3 rounds of consensus building. The consensus process was completed in May 2017 and data were analyzed in June 2017. MAIN OUTCOMES AND MEASURES: Consensus on proportion of ICD-9–coded readmission reasons that reflected quality of surgical procedure. RESULTS: In 3 Delphi rounds, the 14 panelists achieved consensus on 50 reasons for readmission; 12 panelists also completed group telephone calls between rounds 1 and 2. Readmissions with diagnoses of infection, sepsis, pneumonia, hemorrhage/hematoma, anemia, ostomy complications, acute renal failure, fluid/electrolyte disorders, or venous thromboembolism were considered associated with surgical quality and accounted for 25 521 of 39 664 readmissions (64% of readmissions; 7.5% of 340 858 index surgical procedures). The proportion of readmissions considered to be not associated with surgical quality varied by procedure, ranging from to 21% (613 of 2331) of readmissions after lower-extremity amputations to 47% (745 of 1598) of readmissions after cholecystectomy. CONCLUSIONS AND RELEVANCE: One-third of postoperative readmissions are unlikely to reflect problems with surgical quality. Future studies should test whether restricting readmissions to those with specific ICD-9 codes might yield a more useful quality measure.

PET scanning has been shown in randomized trials to reduce the frequency of surgery without cure among patients with potentially resectable non-small cell lung cancer (NSCLC). We examined whether more frequent use of PET scanning at the facility level improves survival among patients with NSCLC in real-world practice.

IMPORTANCE To date, no study has defined the consequences of radial artery harvest based on a large number of patients in a prospective randomized trial. OBJECTIVE To compare pain at the harvest site and functional changes associated with harvesting the radial artery vs saphenous vein for coronary artery bypass grafting. DESIGN, SETTING, AND PARTICIPANTS This study compares the consequences of radial artery harvest with saphenous vein harvest in patients undergoing elective coronary artery bypass grafting procedures in Veterans Affairs hospitals. MAIN OUTCOMES AND MEASURES Eleven hospitals screened 6148 patients, of whom 751 were included in this trial. We analyzed 2 variables: pain at the harvest site as measured on a scale of 0 to 100 (least to most painful) and hand performance testing. Patients included in this analysis had radial artery only (n = 80) or saphenous vein only (n = 337) harvest. Pain score, grip strength, and dexterity were measured before surgery and at 3 and 12 months after surgery. We adjusted for pain scores of the nonharvested extremity, age, whether the patient underwent endoscopic vein harvesting, and comorbid health conditions (smoking history, type 2 diabetes mellitus, hypertension, and heart failure). RESULTS There was a significant difference in change of pain score at 3 months from the preoperative baseline between radial artery and saphenous vein groups after adjusting for covariates (P &lt; .001) but not at 12 months (P = .07). No significant changes occurred in grip strength or dexterity from preoperative baseline to 3 and 12 months after surgery (P > .05). CONCLUSIONS AND RELEVANCE The radial artery group reported significantly more pain than the saphenous vein group 3 months after surgery; however, similar levels of pain were observed in both groups at 12 months after surgery. Grip strength and manual dexterity were not changed by radial artery harvesting at 3 and 12 months.

The Internet has emerged as a valuable tool for health information. Half of the U.S. population lacked Internet access in 2001, creating concerns about those without access. Starting in 1999, a survey firm randomly invited individuals to join their research panel in return for free Internet access. This provides a unique setting to study the ways that people who had not previously obtained Internet access use the Internet when it becomes available to them.

Research with human subjects is essential for most clinical and social science research. As such, the ethical treatment of subjects, including the role of Institutional Review Boards (IRBs), is of paramount concern. The prevailing system of IRBs in the United States reflects an integrated approach in which research organizations have their own local IRB. Recent regulatory changes and a few high-profile problems have prompted proposals for greater investments in IRBs.

Chronically ill patients often experience difficulty paying for their medications and, as a result, use less than prescribed.

Objectives: While evaluating the effect of a community-wide informational intervention, this study explored access, health, and demographic factors related to the use of medical reference books, telephone advice nurses, and computers for health information. Methods: A random sample of households in the intervention city (Boise, Idaho) and two control cities were surveyed about their use of health information in 1996. Shortly thereafter, the Healthwise Communities Project (HCP) distributed health information to all Boise residents. A follow-up survey was conducted in 1998. Overall, 5,909 surveys were completed for a 54% response rate. Results: The HCP intervention was associated with statistically significant increases in the use of medical reference books and telephone advice nurses. The increased use of computers for health information was marginally significant. Few access, health, or demographic factors were consistently associated with using the different resources, except that people with depression used more of all three information resources, and income was not a significant predictor. Conclusion: Providing free health information led to an increase in use, but access, health, and demographic factors were also important determinants. In particular, poor health status and presence of a chronic illness were associated with health information use. These results suggest that healthy consumers are less interested in health information, and it may take other incentives to motivate them to learn about prevention and healthy behaviors.

To determine whether providing health information to residents of Boise ID had an effect on their self-reported medical utilization.

Most studies assessing the effects of consumer health information on medical utilization have used randomized controlled clinical trials with the chronically ill. In this paper, we analyze the effect of the Healthwise Communities Project, a natural experiment that provided free self-care resources, on reported pediatric utilization.

In 2008, the Veterans Health Administration published a groundbreaking policy on disclosing large-scale adverse events to patients in order to promote transparent communication in cases where harm may not be obvious or even certain. Without embedded research, the evidence on whether or not implementation of this policy was generating more harm than good among Veteran patients was unknown. Through an embedded research-operations partnership, we conducted four research projects that led to the development of an evidence-based large-scale disclosure toolkit and disclosure support program, and its implementation across VAhealthcare. Guided by the Consolidated Framework for Implementation Research, we identified specific activities corresponding to planning, engaging, executing, reflecting and evaluating phases in the process of implementation. These activities included planning with operational leaders to establish a shared research agenda; engaging with stakeholders to discuss early results, establishing buy-in of our efforts and receiving feedback; joining existing operational teams to execute the toolkit implementation; partnering with clinical operations to evaluate the toolkit during real-time disclosures; and redesigning the toolkit to meet stakeholders’ needs. Critical lessons learned for implementation success included a need for stakeholder collaboration and engagement, an organizational culture involving a strong belief in evidence, a willingness to embed researchers in clinical operation activities, allowing for testing and evaluation of innovative practices, and researchers open to constructive feedback. At the conclusion of the research, VAoperations worked with the researchers to continue to support efforts to spread, scale-up and sustain toolkit use across the VAhealthcare system, with the final goal to establish long-term sustainability.

Stroke is a leading cause of disability. Rehabilitation robotics have been developed to aid in recovery after a stroke. This study determined the additional cost of robot-assisted therapy and tested its cost-effectiveness.

Background: Despite the high prevalence of alcohol use disorders (AUDs), in 2016, only 7.8% of individuals meeting diagnostic criteria received any type of AUD treatment. Developing options for treatment within primary care settings is imperative to increase treatment access. As part of a trial to implement AUD pharmacotherapy in primary care settings, this qualitative study analyzed pre-implementation provider interviews using the Consolidated Framework for Implementation Research (CFIR) to identify implementation barriers. Methods: Three large Veterans Health Administration facilities participated in the implementation intervention. Local providers were trained to serve as implementation/clinical champions and received external facilitation from the project team. Primary care providers received a dashboard of patients with AUD for case identification, educational materials, and access to consultation from clinical champions. Veterans with AUD diagnoses received educational information in the mail. Prior to the start of implementation activities, 24 primary care providers (5–10 per site) participated in semi-structured interviews. Transcripts were analyzed using common coding techniques for qualitative data using the CFIR codebook Innovation/Intervention Characteristics, Outer Setting, Inner Setting, and Characteristics of Individuals domains. Number and type of barriers identified were compared to quantitative changes in AUD pharmacotherapy prescribing rates. Results: Four major barriers emerged across all three sites: complexity of providing AUD pharmacotherapy in primary care, the limited compatibility of AUD treatment with existing primary care processes, providers’ limited knowledge and negative beliefs about AUD pharmacotherapy and providers’ negative attitudes toward patients with AUD. Site specific barriers included lack of relative advantage of providing AUD pharmacotherapy in primary care over current practice, complaints about the design quality and packaging of implementation intervention materials, limited priority of addressing AUD in primary care and limited available resources to implement AUD pharmacotherapy in primary care. Conclusions: CFIR constructs were useful for identifying pre-implementation barriers that informed refinements to the implementation intervention. The number and type of pre-implementation barriers identified did not demonstrate a clear relationship to the degree to which sites were able to improve AUD pharmacotherapy prescribing rate. Site-level implementation process factors such as leadership support and provider turn-over likely also interacted with pre-implementation barriers to drive implementation outcomes.

IMPORTANCE: Proteinuria indicates renal dysfunction and is a risk factor for morbidity among medical patients, but less is understood among surgical populations. There is a paucity of studies investigating how preoperative proteinuria is associated with surgical outcomes, including postoperative acute kidney injury (AKI) and readmission. OBJECTIVE: To assess preoperative urine protein levels as a biomarker for adverse surgical outcomes. DESIGN, SETTING, AND PARTICIPANTS: A retrospective, population-based study was conducted in a cohort of patients with and without known preoperative renal dysfunction undergoing elective inpatient surgery performed at 119 Veterans Affairs facilities from October 1, 2007, to September 30, 2014. Data analysis was conducted from April 4 to December 1, 2016. Preoperative dialysis, septic, cardiac, ophthalmology, transplantation, and urologic cases were excluded. EXPOSURES: Preoperative proteinuria as assessed by urinalysis using the closest value within 6 months of surgery: negative (0 mg/dL), trace (15-29 mg/dL), 1+ (30-100 mg/dL), 2+ (101-300 mg/dL), 3+ (301-1000 mg/dL), and 4+ (>1000 mg/dL). MAIN OUTCOMES AND MEASURES: Primary outcome was postoperative predischarge AKI and 30-day postdischarge unplanned readmission. Secondary outcomes included any 30-day postoperative outcome. RESULTS: Of 346 676 surgeries, 153 767 met inclusion criteria, with the majority including orthopedic (37%), general (29%), and vascular procedures (14%). Evidence of proteinuria was shown in 43.8% of the population (trace: 20.6%, 1+: 16.0%, 2+: 5.5%, 3+: 1.6%) with 20.4%, 14.9%, 4.3%, and 0.9%, respectively, of the patients having a normal preoperative estimated glomerular filtration rate (eGFR). In unadjusted analysis, preoperative proteinuria was significantly associated with postoperative AKI (negative: 8.6%, trace: 12%, 1+: 14.5%, 2+: 21.2%, 3+: 27.6%; P &lt; .001) and readmission (9.3%, 11.3%, 13.3%, 15.8%, 17.5%, respectively, P &lt; .001). After adjustment, preoperative proteinuria was associated with postoperative AKI in a dose-dependent relationship (trace: odds ratio [OR], 1.2; 95% CI, 1.1-1.3, to 3+: OR, 2.0; 95% CI, 1.8-2.2) and 30-day unplanned readmission (trace: OR, 1.0; 95% CI, 1.0-1.1, to 3+: OR, 1.3; 95% CI, 1.1-1.4). Preoperative proteinuria was associated with AKI independent of eGFR. CONCLUSIONS AND RELEVANCE: Proteinuria was associated with postoperative AKI and 30-day unplanned readmission independent of preoperative eGFR. Simple urine assessment for proteinuria may identify patients at higher risk of AKI and readmission to guide perioperative management.