The impact of informal caregiving on U.S. Veterans Health Administration utilization and expenditures.

Few studies have examined the effect of informal care receipt on health care utilization and expenditures while accounting for the potentially endogenous relationship between informal and formal care, and none have examined these relationships for U.S. Veterans. With rapidly increasing investments in caregiver supports over the past decade, including stipends for caregivers, the U.S. Department of Veterans Affairs (VA) needs to better understand the costs and benefits of informal care provision. Using a unique data linkage between the 1998-2010 Health and Retirement Study and VA administrative data (n = 2083 Veterans with 9511 person-wave observations), we applied instrumental variable techniques to understand the effect of care from an adult child on Veterans' two-year VA utilization and expenditures. We found that informal care decreased overall utilization by 53 percentage points (p < 0.001) and expenditures by $19,977 (p < 0.01). These reductions can be explained by informal care decreasing the probability of inpatient utilization by 17 percentage points (p < 0.001), outpatient utilization by 57 percentage points (p < 0.001), and institutional long-term care by 3 percentage points (p < 0.05). There were no changes in the probability of non-institutional long-term care use, though these expenditures decreased by $882 (p < 0.05). Expenditure decreases were greatest amongst medically complex patients. Our results indicate relative alignment between VA's stipend payments, which are based on replacement cost methods, and the monetary benefits derived through VA cost avoidances due to informal care. For health systems considering similar caregiver stipend payments, our findings suggest that the cost of these programs may be offset by informal care substituting for formal care, particularly for higher need patients.

Mapping the Discharge Process After Surgery.

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.

Disparities in Access, Quality, and Clinical Outcome for Latino Californians with Colon Cancer.

OBJECTIVE: To compare access, quality, and clinical outcomes between Latino and non-Latino White Californians with colon cancer. SUMMARY BACKGROUND DATA: Racial and ethnic disparities in cancer care remain understudied, particularly among patients who identify as Latino. Exploring potential mechanisms, including differential utilization of high-volume hospitals, is an essential first step to designing evidence-based policy solutions. METHODS: We identified all adults diagnosed with colon cancer between January 1, 2010 and December 31, 2020 from a statewide cancer registry linked to hospital administrative records. We compared survival, access (stage at diagnosis, receipt of surgical care, treatment at a high-volume hospital), and quality of care (receipt of adjuvant chemotherapy, adequacy of lymph node resection) between patients who identified as Latino and as non-Latino White. RESULTS: 75,543 patients met inclusion criteria, including 16,071 patients who identified as Latino (21.3%). Latino patients were significantly less likely to undergo definitive surgical resection (marginal difference [MD] -0.72 percentage points, 95% CI -1.19,-0.26), have an operation in a timely fashion (MD -3.24 percentage points, 95% CI -4.16,-2.32), or have an adequate lymphadenectomy (MD -2.85 percentage points, 95% CI -3.59,-2.12) even after adjustment for clinical and sociodemographic factors. Latino patients treated at high-volume hospitals were significantly less likely to die and more likely to meet access and quality metrics. CONCLUSIONS: Latino colon cancer patients experienced delays, segregation, and lower receipt of recommended care. Hospital-level colectomy volume appears to be strongly associated with access, quality, and survival--especially for patients who identify as Latino--suggesting that directing at-risk cancer patients to high-volume hospitals may improve health equity.

Negotiated Rates for Surgical Cancer Care in the Era of Price Transparency-Prices Reflect Market Competition.

OBJECTIVE: To measure commercial price variation for cancer surgery within and across hospitals. BACKGROUND: Surgical care for solid-organ tumors is costly, and negotiated commercial rates have been hidden from public view. The Hospital Price Transparency Rule, enacted in 2021, requires all hospitals to list their negotiated rates on their website, thus opening the door for an examination of pricing for cancer surgery. METHODS: This was a cross-sectional study using 2021 negotiated price data disclosed by US hospitals for the 10 most common cancers treated with surgery. Price variation was measured using within-hospital and across-hospital ratios. Commercial rates relative to cancer center designation and the Herfindahl-Hirschman Index at the facility level were evaluated with mixed effects linear regression with random intercepts per procedural code. RESULTS: In all, 495,200 unique commercial rates from 2232 hospitals resulted for the 10 most common solid-organ tumor cancers. Gynecologic cancer operations had the highest median rates at $6035.8/operation compared with bladder cancer surgery at $3431.0/operation. Compared with competitive markets, moderately and highly concentrated markets were associated with significantly higher rates (HHI 1501, 2500, coefficient $513.6, 95% CI, $295.5, $731.7; HHI >2500, coefficient $1115.5, 95% CI, $913.7, $1317.2). National Cancer Institute designation was associated with higher rates, coefficient $3,451.9 (95% CI, $2853.2, $4050.7). CONCLUSIONS: Commercial payer-negotiated prices for the surgical management of 10 common, solid tumor malignancies varied widely both within and across hospitals. Higher rates were observed in less competitive markets. Future efforts should facilitate price competition and limit health market concentration.

Do hospital-based emergency Medicaid programs benefit trauma centers? A mixed-methods analysis.

INTRODUCTION: Hospital Presumptive Eligibility (HPE) is a temporary Medicaid insurance at hospitalization, which can offset patient costs of care, increase access to postdischarge resources, and provide a path to sustain coverage through Medicaid. Less is known about the implications of HPE programs on trauma centers (TCs). We aimed to describe the association with HPE and hospital Medicaid reimbursement and characterize incentives for HPE participation among hospitals and TCs. We hypothesized that there would be financial, operational, and mission-based incentives. METHODS: We performed a convergent mixed methods study of HPE hospitals in California (including all verified TCs). We analyzed Annual Financial Disclosure Reports from California's Department of Health Care Access and Information (2005-2021). Our primary outcome was Medicaid net revenue. We also conducted thematic analysis of semistructured interviews with hospital stakeholders to understand incentives for HPE participation (n = 8). RESULTS: Among 367 California hospitals analyzed, 285 (77.7%) participate in HPE, 77 (21%) of which are TCs. As of early 2015, 100% of TCs had elected to enroll in HPE. There is a significant positive association between HPE participation and net Medicaid revenue. The highest Medicaid revenues are in HPE level I and level II TCs. Controlling for changes associated with the Affordable Care Act, HPE enrollment is associated with increased net patient Medicaid revenue ( b = 6.74, p < 0.001) and decreased uncompensated care costs ( b = -2.22, p < 0.05). Stakeholder interviewees' explanatory incentives for HPE participation included reduction of hospital bad debt, improved patient satisfaction, and community benefit in access to care. CONCLUSION: Hospital Presumptive Eligibility programs not only are a promising pathway for long-term insurance coverage for trauma patients but also play a role in TC viability. Future interventions will target streamlining the HPE Medicaid enrollment process to reduce resource burden on participating hospitals and ensure ongoing patient engagement in the program. LEVEL OF EVIDENCE: Economic And Value Based Evaluations; Level II.

Association of High-Deductible Health Plans and Time to Surgery for Breast and Colon Cancer.

BACKGROUND: High-deductible health plans (HDHPs) have been shown to delay timing of breast and colon cancer screening, although the relationship to the timing of cancer surgery is unknown. The objective of this study was to characterize timing of surgery for breast and colon cancer patients undergoing cancer operations following routine screening. STUDY DESIGN: Data from the IBM MarketScan Commercial Claims Database from 2007 to 2016 were queried to identify patients who underwent screening mammogram and/or colonoscopy. The calendar quarters of screening and surgery were analyzed with ordinal logistic regression. The time from screening to surgery (time to surgery, TTS) was evaluated using a Cox proportional hazard function. RESULTS: Among 32,562,751 patients who had screening mammograms, 0.7% underwent breast cancer surgery within the following year. Among 9,325,238 patients who had screening colonoscopies, 0.9% were followed by colon cancer surgery within a year. The odds of screening (OR 1.146 for mammogram, 1.272 for colonoscopy; p < 0.001) and surgery (OR 1.120 for breast surgery, 1.219 for colon surgery; p < 0.001) increased each quarter for HDHPs compared to low-deductible health plans. Enrollment in an HDHP was not associated with a difference in TTS. Screening in Q3 or Q4 was associated with shorter TTS compared to screening in Q1 (hazard ratio 1.061 and 1.046, respectively; p < 0.001). CONCLUSIONS: HDHPs were associated with delays in screening and surgery. However, HDHPs were not associated with delays in TTS. Interventions to improve cancer care outcomes in the HDHP population should concentrate on reducing barriers to timely screening.

Sociodemographic Differences in the Impacts of Video-Enabled Tablets on Psychotherapy Usage Among Veterans.

OBJECTIVE: To examine potential health disparities due to a broad reliance on telehealth during the COVID-19 pandemic, the authors studied the impact of video-enabled tablets provided by the U.S. Department of Veterans Affairs (VA) on psychotherapy usage among rural versus urban, Black versus White, and female versus male veterans. METHODS: Psychotherapy usage trends before and after onset of the COVID-19 pandemic were examined among veterans with at least one mental health visit in 2019 (63,764 tablet recipients and 1,414,636 nonrecipients). Adjusted difference-in-differences and event study analyses were conducted to compare psychotherapy usage among tablet recipients and nonrecipients (March 15, 2020-December 31, 2021) 10 months before and after tablet issuance. Analyses were stratified by rurality, sex, and race. RESULTS: Adjusted analyses demonstrated that tablet receipt was associated with increases in psychotherapy visit frequency in every patient group studied (rural, 27.4%; urban, 24.6%; women, 30.5%; men, 24.4%; Black, 20.8%; White, 28.1%), compared with visits before tablet receipt. Compared with men, women had statistically significant tablet-associated psychotherapy visit increases (video visits, 1.2 per year; all modalities, 1.0 per year). CONCLUSIONS: VA-issued tablets led to increased psychotherapy usage for all groups examined, with similar increases found for rural versus urban and Black versus White veterans and higher increases for women versus men. Eliminating barriers to Internet access or device ownership may improve mental health care access among underserved or historically disadvantaged populations. VA's tablet program offers insights to inform policy makers' and health systems' efforts to bridge the digital divide.

State-Level Variability in Hospital Presumptive Eligibility Programs.

This cross-sectional study examines state-level variability in hospital presumptive eligibility programs to understand discrepancies in access by Medicaid expansion status.

Association Between Self-Reported Health and Reliance on Veterans Affairs for Health Care Among Veterans Affairs Enrollees.

This cross-sectional study using survey data investigates the association between level of reliance on the Department of Veterans Affairs for health care and self-reported health by type of insurance coverage among VA enrollees.

Healthcare costs and use before and after opioid overdose in Veterans Health Administration patients with opioid use disorder.

AIMS: To compare healthcare costs and use between United States (US) Veterans Health Administration (VHA) patients with opioid use disorder (OUD) who experienced an opioid overdose (OD cohort) and patients with OUD who did not experience an opioid overdose (non-OD cohort). DESIGN: This is a retrospective cohort study of administrative and clinical data. SETTING: The largest integrated national health-care system is the US Veterans Health Administration's healthcare systems. PARTICIPANTS: We included VHA patients diagnosed with OUD from October 1, 2017 through September 30, 2018. We identified the index date of overdose for patients who had an overdose. Our control group, which included patients with OUD who did not have an overdose, was randomly assigned an index date. A total of 66 513 patients with OUD were included for analysis (OD cohort: n = 1413; non-OD cohort: n = 65 100). MEASUREMENTS: Monthly adjusted healthcare-related costs and use in the year before and after the index date. We used generalized estimating equation models to compare patients with an opioid overdose and controls in a difference-in-differences framework. FINDINGS: Compared with the non-OD cohort, an opioid overdose was associated with an increase of $16 890 [95% confidence interval (CI) = $15 611-18 169; P < 0.001] in healthcare costs for an estimated $23.9 million in direct costs to VHA (95% CI = $22.1 million, $25.7 million) within the 30 days following overdose after adjusting for baseline characteristics. Inpatient costs ($13 515; 95% CI = $12 378-14 652; P < 0.001) reflected most of this increase. Inpatient days (+6.15 days; 95% CI, = 5.33-6.97; P < 0.001), inpatient admissions (+1.01 admissions; 95% CI = 0.93-1.10; P < 0.001) and outpatient visits (+1.59 visits; 95% CI = 1.34-1.84; P < 0.001) also increased in the month after opioid overdose. Within the overdose cohort, healthcare costs and use remained higher in the year after overdose compared with pre-overdose trends. CONCLUSIONS: The US Veterans Health Administration patients with opioid use disorder (OUD) who have experienced an opioid overdose have increased healthcare costs and use that remain significantly higher in the month and continuing through the year after overdose than OUD patients who have not experienced an overdose.

Strategies to Assess the Effect of Continuous Positive Airway Pressure on Long-Term Clinically Important Outcomes among Patients with Symptomatic Obstructive Sleep Apnea: An Official American Thoracic Society Workshop Report.

Continuous positive airway pressure (CPAP) is the first-line treatment for obstructive sleep apnea (OSA). Although CPAP improves symptoms (e.g., daytime sleepiness), there is a lack of high-quality evidence that CPAP prevents many long-term outcomes, including cognitive impairment, myocardial infarction, and stroke. Observational studies suggest that patients with symptoms may be particularly likely to experience these preventive benefits with CPAP, but ethical and practical concerns limited the participation of such patients in prior long-term randomized trials. As a result, there is uncertainty about the full benefits of CPAP, and resolving this uncertainty is a key priority for the field. This workshop assembled clinicians, researchers, ethicists, and patients to identify strategies to understand the causal effects of CPAP on long-term clinically important outcomes among patients with symptomatic OSA. Quasi-experimental designs can provide valuable information and are less time and resource intensive than trials. Under specific conditions and assumptions, quasi-experimental studies may be able to provide causal estimates of CPAP's effectiveness from generalizable observational cohorts. However, randomized trials represent the most reliable approach to understanding the causal effects of CPAP among patients with symptoms. Randomized trials of CPAP can ethically include patients with symptomatic OSA, as long as there is outcome-specific equipoise, adequate informed consent, and a plan to maximize safety while minimizing harm (e.g., monitoring for pathologic sleepiness). Furthermore, multiple strategies exist to ensure the generalizability and practicality of future randomized trials of CPAP. These strategies include reducing the burden of trial procedures, improving patient-centeredness, and engaging historically excluded and underserved populations.

VA's implementation of universal screening and evaluation for the suicide risk identification program in November 2020 -Implications for Veterans with prior mental health needs.

IMPORTANCE: United States Veterans are at higher risk for suicide than non-Veterans. Veterans in rural areas are at higher risk than their urban counterparts. The coronavirus pandemic intensified risk factors for suicide, especially in rural areas. OBJECTIVE: To examine associations between Veterans Health Administration's (VA's) universal suicide risk screening, implemented November 2020, and likelihood of Veterans being screened, and receiving follow-up evaluations, as well as post-screening suicidal behavior among patients who used VA mental health services in 2019. METHODS: VA's Suicide Risk Identification Strategy (Risk ID), implemented October 2018, is a national, standardized process for suicide risk screening and evaluation. In November 2020, VA expanded Risk ID, requiring annual universal suicide screening. As such, we are evaluating outcomes of interest before and after the start of the policy among Veterans who had ≥1 VA mental health care visit in 2019 (n = 1,654,180; rural n = 485,592, urban n = 1,168,588). Regression-adjusted outcomes were compared 6 months pre-universal screening and 6, 12 and 13 months post-universal screening implementation. MEASURES: Item-9 on the Patient Health Questionnaire (I-9, VA's historic suicide screener), Columbia- Suicide Severity Risk Scale (C-SSRS) Screener, VA's Comprehensive Suicide Risk Evaluation (CSRE), and Suicide Behavior and Overdose Report (SBOR). RESULTS: 12 months post-universal screening implementation, 1.3 million Veterans (80% of the study cohort) were screened or evaluated for suicide risk, with 91% the sub-cohort who had at least one mental health visit in the 12 months post-universal screening implementation period were screened or evaluated. At least 20% of the study cohort was screened outside of mental health care settings. Among Veterans with positive screens, 80% received follow-up CSREs. Covariate-adjusted models indicated that an additional 89,160 Veterans were screened per month via the C-SSRS and an additional 30,106 Veterans/month screened via either C-SSRS or I-9 post-universal screening implementation. Compared to their urban counterparts, 7,720 additional rural Veterans/month were screened via the C-SSRS and 9,226 additional rural Veterans/month were screened via either the C-SSRS or I-9. CONCLUSION: VA's universal screening requirement via VA's Risk ID program increased screening for suicide risk among Veterans with mental health care needs. A universal approach to screening may be particularly advantageous for rural Veterans, who are typically at higher risk for suicide but have fewer interactions with the health care system, particularly within specialty care settings, due to higher barriers to accessing care. Insights from this program offer valuable insights for health systems nationwide.

Therapeutic and Economic Benefits of Service Dogs Versus Emotional Support Dogs for Veterans With PTSD.

OBJECTIVE: This work aimed to assess the therapeutic and economic benefits of service dogs versus emotional support dogs for veterans with posttraumatic stress disorder (PTSD). METHODS: Veterans with PTSD (N=227) participating in a multicenter trial were randomly assigned to receive a service or emotional support dog; 181 veterans received a dog and were followed up for 18 months. Primary outcomes included overall functioning (assessed with World Health Organization Disability Assessment Scale II [WHODAS 2.0]) and quality of life (Veterans RAND 12-Item Health Survey [VR-12]). Secondary outcomes included PTSD symptoms (PTSD Checklist for DSM-5), suicidal ideation, depression, sleep quality, health care costs and utilization, medication adherence, employment, and productivity. RESULTS: Participants paired with a dog had a mean±SD age of 50.6±13.6 years (range 22-79), and most were male (80%), White (66%), and non-Hispanic (91%). Adjusted linear mixed repeated-measures models indicated no difference between the two groups on WHODAS 2.0 or VR-12 scores. Participants with service dogs had a 3.7-point greater reduction in PTSD symptoms versus participants with emotional support dogs (p=0.036). No reduced health care utilization or cost was associated with receiving a service dog. Veterans with service dogs had an increase of 10 percentage points in antidepressant adherence compared with those with emotional support dogs (p<0.01). CONCLUSIONS: Both groups appeared to benefit from having a service or emotional support dog. No significant differences in improved functioning or quality of life were observed between the groups. Those in the service dog group had a greater reduction in PTSD symptoms and better antidepressant adherence, improvements that should be explored further.

Differences Between VHA-Delivered and VHA-Purchased Behavioral Health Care in Service and Patient Characteristics.

OBJECTIVE: Federal legislation has expanded Veterans Health Administration (VHA) enrollees' access to VHA-purchased "community care." This study examined differences in the amount and type of behavioral health care delivered in VHA and purchased in the community, along with patient characteristics and area supply and demand factors. METHODS: This retrospective cross-sectional study examined data for 204,094 VHA enrollees with 448,648 inpatient behavioral health stays and 3,467,010 enrollees with 55,043,607 outpatient behavioral health visits from fiscal years 2016 to 2019. Standardized mean differences (SMDs) were calculated for patient and provider characteristics at the outpatient-visit level for VHA and community care. Linear probability models assessed the association between severity of behavioral health condition and site of care. RESULTS: Twenty percent of inpatient stays were purchased through community care, with severe behavioral health conditions more likely to be treated in VHA inpatient care. In the outpatient setting, community care accounted for 3% of behavioral health care visits, with increasing use over time. For outpatient care, veterans receiving community care were more likely than those receiving VHA care to see clinicians with fewer years of training (SMD=1.06). CONCLUSIONS: With a large portion of inpatient behavioral health care occurring in the community and increased use of outpatient behavioral health care with less highly trained community providers, coordination between VHA and the community is essential to provide appropriate inpatient follow-up care and address outpatient needs. This is especially critical given VHA's expertise in providing behavioral health care to veterans and its legislative responsibility to ensure integrated care.

Emergency Medicaid programs may be an effective means of providing sustained insurance among trauma patients: A statewide longitudinal analysis.

BACKGROUND: Hospital Presumptive Eligibility (HPE) is a temporary Medicaid insurance at hospitalization that offsets costs of care, increases access to postdischarge resources, and provides patients with a path to sustain coverage through Medicaid. Because HPE only lasts up to 60 days, we aimed to determine Medicaid insurance status 6 months after injury among HPE-approved trauma patients and identify factors associated with successful sustainment. METHODS: Using a customized longitudinal claims data set for HPE-approved patients from the California Department of Health Care Services, we analyzed adults with a primary trauma diagnosis (International Classification of Diseases version 10) who were HPE approved in 2016 and 2017. Our primary outcome was Medicaid sustainment at 6 months. Univariate and multivariate analyses were performed. RESULTS: A total of 9,749 trauma patients with HPE were analyzed; 6,795 (69.7%) sustained Medicaid at 6 months. Compared with patients who did not sustain, those who sustained had higher Injury Severity Score (ISS > 15: 73.5% vs. 68.7%, p < 0.001), more frequent surgical intervention (74.8% vs. 64.5%, p < 0.001), and were more likely to be discharged to postacute services (23.9% vs. 10.4%, p < 0.001). Medicaid sustainment was high among patients who identified as White (86.7%), Hispanic (86.7%), Black (84.3%), and Asian (83.7%). Medicaid sustainment was low among the 2,505 patients (25.7%) who declined to report race, ethnicity, or preferred language (14.8% sustainment). In adjusted analyses, major injuries (ISS > 16) (vs. ISS < 15: adjusted odds ratio [aOR], 1.51; p = 0.02) and surgery (aOR, 1.85; p < 0.001) were associated with increased likelihood of Medicaid sustainment. Declining to disclose race, ethnicity, or language (aOR, 0.05; p < 0.001) decreased the likelihood of Medicaid sustainment. CONCLUSION: Hospital Presumptive Eligibility programs are a promising pathway for securing long-term insurance coverage for trauma patients, particularly among the severely injured who likely require ongoing access to health care services. Patient and provider interviews would help to elucidate barriers for patients who do not sustain. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level IV.

Applying cognitive task analysis to health services research.

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.

Variation in initial and continued use of primary, mental health, and specialty video care among Veterans.

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.

Commercial Price Variation for Breast Reconstruction in the Era of Price Transparency.

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 < .001). Safety-net and nonprofit hospitals reported lower commercial rates (coefficient, -$3269.58; 95% CI, -$3815.42 to -$2723.74; P < .001 and coefficient, -$1892.79; -$2519.61 to -$1265.97; P < .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.