Disparities in eye clinic patient encounters among patients requiring language interpreter services.

BACKGROUND: Communication barriers are a major cause of health disparities for patients with limited English proficiency (LEP). Medical interpreters play an important role in bridging this gap, however the impact of interpreters on outpatient eye center visits has not been studied. We aimed to evaluate the differences in length of eyecare visits between LEP patients self-identifying as requiring a medical interpreter and English speakers at a tertiary, safety-net hospital in the United States. METHODS: A retrospective review of patient encounter metrics collected by our electronic medical record was conducted for all visits between January 1, 2016 and March 13, 2020. Patient demographics, primary language spoken, self-identified need for interpreter and encounter characteristics including new patient status, patient time waiting for providers and time in room were collected. We compared visit times by patient's self-identification of need for an interpreter, with our main outcomes being time spent with ophthalmic technician, time spent with eyecare provider, and time waiting for eyecare provider. Interpreter services at our hospital are typically remote (via phone or video). RESULTS: A total of 87,157 patient encounters were analyzed, of which 26,443 (30.3%) involved LEP patients identifying as requiring an interpreter. After adjusting for patient age at visit, new patient status, physician status (attending or resident), and repeated patient visits, there was no difference in the length of time spent with technician or physician, or time spent waiting for physician, between English speakers and patients identifying as needing an interpreter. Patients who self-identified as requiring an interpreter were more likely to have an after-visit summary printed for them, and were also more likely to keep their appointment once it was made when compared to English speakers. CONCLUSIONS: Encounters with LEP patients who identify as requiring an interpreter were expected to be longer than those who did not indicate need for an interpreter, however we found that there was no difference in the length of time spent with technician or physician. This suggests providers may adjust their communication strategy during encounters with LEP patients identifying as needing an interpreter. Eyecare providers must be aware of this to prevent negative impacts on patient care. Equally important, healthcare systems should consider ways to prevent unreimbursed extra time from being a financial disincentive for seeing patients who request interpreter services.

Luck of the draw: Role of chance in the assignment of medicare readmissions penalties.

Pay-for-performance programs are one strategy used by health plans to improve the efficiency and quality of care delivered to beneficiaries. Under such programs, providers are often compared against their peers in order to win bonuses or face penalties in payment. Yet luck has the potential to affect performance assessment through randomness in the sorting of patients among providers or through random events during the evaluation period. To investigate the impact luck can have on the assessment of performance, we investigated its role in assigning penalties under Medicare's Hospital Readmissions Reduction Policy (HRRP), a program that penalizes hospitals with excess readmissions. We performed simulations that estimated program hospitals' 2015 readmission penalties in 1,000 different hypothetical fiscal years. These hypothetical fiscal years were created by: (a) randomly varying which patients were admitted to each hospital and (b) randomly varying the readmission status of discharged patients. We found significant differences in penalty sizes and probability of penalty across hypothetical fiscal years, signifying the importance of luck in readmission performance under the HRRP. Nearly all of the impact from luck arose from events occurring after hospital discharge. Luck played a smaller role in determining penalties for hospitals with more beds, teaching hospitals, and safety-net hospitals.

Assessing and Augmenting Predictive Models for Hospital Readmissions With Novel Variables in an Urban Safety-net Population.

BACKGROUND: The performance of existing predictive models of readmissions, such as the LACE, LACE+, and Epic models, is not established in urban safety-net populations. We assessed previously validated predictive models of readmission performance in a socially complex, urban safety-net population, and if augmentation with additional variables such as the Area Deprivation Index, mental health diagnoses, and housing access improves prediction. Through the addition of new variables, we introduce the LACE-social determinants of health (SDH) model. METHODS: This retrospective cohort study included adult admissions from July 1, 2016, to June 30, 2018, at a single urban safety-net health system, assessing the performance of the LACE, LACE+, and Epic models in predicting 30-day, unplanned rehospitalization. The LACE-SDH development is presented through logistic regression. Predictive model performance was compared using C-statistics. RESULTS: A total of 16,540 patients met the inclusion criteria. Within the validation cohort (n=8314), the Epic model performed the best (C-statistic=0.71, P<0.05), compared with LACE-SDH (0.67), LACE (0.65), and LACE+ (0.61). The variables most associated with readmissions were (odds ratio, 95% confidence interval) against medical advice discharge (3.19, 2.28-4.45), mental health diagnosis (2.06, 1.72-2.47), and health care utilization (1.94, 1.47-2.55). CONCLUSIONS: The Epic model performed the best in our sample but requires the use of the Epic Electronic Health Record. The LACE-SDH performed significantly better than the LACE and LACE+ models when applied to a safety-net population, demonstrating the importance of accounting for socioeconomic stressors, mental health, and health care utilization in assessing readmission risk in urban safety-net patients.

Eligibility for cervical cancer screening exit: Comparison of a national and safety net cohort.

OBJECTIVE: To determine eligibility for discontinuation of cervical cancer screening. METHODS: Women aged 64 with employer-sponsored insurance enrolled in a national database between 2016 and 2018, and those aged 64-66 receiving primary care at a safety net health center in 2019 were included. Patients were evaluated for screening exit eligibility by current guidelines: no evidence of cervical cancer or HIV-positive status and no evidence of cervical precancer in the past 25 years, and had evidence of either hysterectomy with removal of the cervix or evidence of fulfilling screening exit criteria, defined as two HPV screening tests or HPV plus Pap co-tests or three Pap tests within the past 10 years without evidence of an abnormal result. RESULTS: Of the 590,901 women in the national claims database, 131,059 (22.2%) were eligible to exit due to hysterectomy (1.6%) or negative screening (20.6%). Of the 1544 women from the safety net health center, 528 (34.2%) were eligible to exit due to hysterectomy (9.3%) or negative screening (24.9%). Most women did not have sufficient data available to fulfill exit criteria: 382,509 (64.7%) in the national database and 875 (56.7%) in the safety net hospital system. Even among women with 10 years of insurance claims data, only 41.5% qualified to discontinue screening. CONCLUSIONS: Examining insurance claims in a national database and electronic medical records at a safety net institution led to remarkably similar findings: two thirds of women fail to qualify for screening exit. Additional steps to ensure eligibility prior to screening exit may be necessary to decrease preventable cervical cancers among women aged >65. CLINICAL TRIAL REGISTRATION: N/A.

Impact of hospital safety-net status on clinical outcomes following carotid artery revascularization.

BACKGROUND: High hospital safety-net burden has been associated with inferior clinical outcomes. We aimed to characterize the association of safety-net burden with outcomes in a national cohort of patients undergoing carotid interventions. METHODS: The 2010-2017 Nationwide Readmissions Database was used to identify adults undergoing carotid endarterectomy and carotid artery stenting. Hospitals were classified as low (LBH), medium, or high safety-net burden (HBH) based on the proportion of uninsured or Medicaid patients. Multivariable models were developed to evaluate associations between HBH and outcomes. RESULTS: Of an estimated 540,558 hospitalizations for a carotid intervention, 28.5% were at HBH. Patients treated at HBH were more likely to be admitted non-electively (28.7% vs 20.2%, P < .001), have symptomatic presentation (11.0% vs 7.7%, P < .001), and undergo carotid artery stenting (18.7% vs 8.9%, P < .001). After adjustment, HBH remained associated with increased odds of postoperative stroke (AOR 1.19, P = .023, Ref = LBH), non-home discharge (AOR 1.10, P = .026), 30-day readmissions (AOR 1.14, P < .001), and 31-90-day readmissions (AOR 1.13, P < .001), but not in-hospital mortality (AOR 1.18, P = .27). HBH was linked to increased hospitalization costs (ß +$2,169, P = .016). CONCLUSION: HBH was associated with postoperative stroke, non-home discharge, readmissions, and increased hospitalization costs after carotid revascularization. Further studies are warranted to alleviate healthcare inequality and improve outcomes at safety-net hospitals.

Association of Medicaid Expansion With Quality in Safety-Net Hospitals.

Importance: Safety-net hospitals (SNHs) operate under limited financial resources and have had challenges providing high-quality care. Medicaid expansion under the Affordable Care Act led to improvements in hospital finances, but whether this was associated with better hospital quality, particularly among SNHs given their baseline financial constraints, remains unknown. Objective: To compare changes in quality from 2012 to 2018 between SNHs in states that expanded Medicaid vs those in states that did not. Design, Setting, and Participants: Using a difference-in-differences analysis in a cohort study, performance on quality measures was compared between SNHs, defined as those in the highest quartile of uncompensated care in the pre-Medicaid expansion period, in expansion vs nonexpansion states, before and after the implementation of Medicaid expansion. A total of 811 SNHs were included in the analysis, with 316 in nonexpansion states and 495 in expansion states. The study was conducted from January to November 2020. Exposures: Time-varying indicators for Medicaid expansion status. Main Outcomes and Measures: The primary outcome was hospital quality measured by patient-reported experience (Hospital Consumer Assessment of Healthcare Providers and Systems Survey), health care-associated infections (central line-associated bloodstream infections, catheter-associated urinary tract infections, and surgical site infections following colon surgery) and patient outcomes (30-day mortality and readmission rates for acute myocardial infarction, heart failure, and pneumonia). Secondary outcomes included hospital financial measures (uncompensated care and operating margins), adoption of electronic health records, provision of safety-net services (enabling, linguistic/translation, and transportation services), or safety-net service lines (trauma, burn, obstetrics, neonatal intensive, and psychiatric care). Results: In this difference-in-differences analysis of a cohort of 811 SNHs, no differential changes in patient-reported experience, health care-associated infections, readmissions, or mortality were noted, regardless of Medicaid expansion status after the Affordable Care Act. There were modest differential increases between 2012 and 2016 in the adoption of electronic health records (mean [SD]: nonexpansion states, 99.4 [7.4] vs 99.9 [3.8]; expansion states, 94.6 [22.6] vs 100.0 [2.2]; 1.7 percentage points; P = .02) and between 2012 and 2018 in the number of inpatient psychiatric beds (mean [SD]: nonexpansion states, 24.7 [36.0] vs 23.6 [39.0]; expansion states: 29.3 [42.8] vs 31.4 [44.3]; 1.4 beds; P = .02) among SNHs in expansion states, although they were not statistically significant at a threshold adjusted for multiple comparisons. In subgroup analyses comparing SNHs with higher vs lower baseline operating margins, an isolated differential improvement was noted in heart failure readmissions among SNHs with lower baseline operating margins in expansion states (mean [SD], 22.8 [2.1]; -0.53 percentage points; P = .001). Conclusions and Relevance: This difference-in-differences cohort study found that despite reductions in uncompensated care and improvements in operating margins, there appears to be little evidence of quality improvement among SNHs in states that expanded Medicaid compared with those in states that did not.

Quality of care at safety-net hospitals and the impact on pay-for-performance reimbursement.

BACKGROUND: Pay-for-performance reimbursement ties hospital payments to standardized quality-of-care metrics. To the authors' knowledge, the impact of pay-for-performance reimbursement models on hospitals caring primarily for uninsured or underinsured patients remains poorly defined. The objective of the current study was to evaluate how standardized quality-of-care metrics vary by a hospital's propensity to care for uninsured or underinsured patients and demonstrate the potential impact that pay-for-performance reimbursement could have on hospitals caring for the underserved. METHODS: The authors identified 1,703,865 patients with cancer who were diagnosed between 2004 and 2015 and treated at 1344 hospitals. Hospital safety-net burden was defined as the percentage of uninsured or Medicaid patients cared for by that hospital, categorizing hospitals into low-burden, medium-burden, and high-burden hospitals. The authors evaluated the impact of safety-net burden on concordance with 20 standardized quality-of-care measures, adjusting for differences in patient age, sex, stage of disease at diagnosis, and comorbidity. RESULTS: Patients who were treated at high-burden hospitals were more likely to be young, male, Black and/or Hispanic, and to reside in a low-income and low-educated region. High-burden hospitals had lower adherence to 13 of 20 quality measures compared with low-burden hospitals (all P < .05). Among the 350 high-burden hospitals, concordance with quality measures was found to be lowest for those caring for the highest percentage of uninsured or Medicaid patients, minority patients, and less educated patients (all P < .001). CONCLUSIONS: Hospitals caring for uninsured or underinsured individuals have decreased quality-of-care measures. Under pay-for-performance reimbursement models, these lower quality-of-care scores could decrease hospital payments, potentially increasing health disparities for at-risk patients with cancer.

Addressing the Health Needs of the Uninsured: One Community's Solution.

INTRODUCTION: Providing high-quality health care to poor and uninsured individuals has been a challenge to the US health care system for decades. Often, patients do not seek care until they are in a crisis, or they seek care at a health care system while not addressing their primary care needs. OBJECTIVE: To report on a community that has sought to change this dynamic with the development of an all-volunteer practitioner-run clinic model. METHODS: Perspective on a successful volunteer-run safety-net clinic. RESULTS: Volunteers in Medicine on Hilton Head Island, SC, provides free health care, with more than 28,000 eligible patient visits annually, for the underserved population. This clinic is self-funded through donations and charity events and accepts no federal money. The patients are not asked to pay a fee for service. Most medical specialties are represented at the clinic, and many partnerships are in place for referrals for more advanced procedures such as surgery. All health care clinicians are volunteers, including physicians, nurses, dentists, and mental health professionals. DISCUSSION: The quality of care meets or exceeds national recommendations on many measurements, including mammography and Papanicolaou test screening rates. CONCLUSION: Safety-net clinics such as Volunteers in Medicine are a needed and viable option to the provision of health care to the vulnerable, often unseen members of society.

Hepatitis C Treatment Cascade in a Federally Qualified Health Center.

Hepatitis C (HCV) care cascades have been described in diverse clinical settings, patient populations and countries, highlighting the steps in HCV care where improvements can be made and resources allocated. However, more research is needed to examine barriers to HCV treatment in rural, underserved populations and in Federally Qualified Health Centers (FQHCs). As part of a quality improvement (QI) project, this study aimed to describe and evaluate the HCV treatment cascade in an FQHC serving a large rural patient population in the Western United States. Standardized chart abstraction was utilized to aggregate data regarding patient demographics, the percentage of patients achieving each step in the treatment cascade, and relevant patient (i.e., viral load) and service variables (i.e., whether and when patients received treatment or medication). 389 patients were identified as having HCV and 86% were aware of their diagnosis. Fifty-five percent had their infection confirmed via viral load, 21% were staged for liver disease, 24% received a prescription for treatment, and 19% achieved cure. Compared to national data, the current regional sample had greater rates of diagnosis awareness and access to care, as well as sustained virologic response (SVR), but lower rates of viral load confirmation. Current findings suggest that rural patients living with HCV who receive care at FQHCs struggle to navigate the treatment cascade and achieve a cure, particularly with regard to infection confirmation, liver staging, and prescription. However, compared to national estimates, patients had greater rates of diagnosis awareness/treatment access and SVR.

Designing for Sustainability: An Approach to Integrating Staff Role Changes and Electronic Health Record Functionality Within Safety-Net Clinics to Address Provision of Tobacco Cessation Care.

BACKGROUND: Guidelines urge primary care practices to routinely provide tobacco cessation care, but quality indicators for the provision of advice and assistance to quit smoking lag. This study evaluated the implementation of a systems-based strategy to improve performance of tobacco cessation care in primary care clinics. METHODS: Changes to the electronic health record (EHR) facilitated staff to document when they ask about tobacco use, advise the patient to quit, offer to connect the patient to a quitline (QL) counselor, and refer interested patients to receive a call from a QL. Medical assistants (MAs) were trained to use the new sections of the EHR, and their roles were expanded to include the provision of brief cessation advice and activation of the QL referral. Primary outcomes were change in tobacco cessation processes preimplementation vs. one, three, and six months postimplementation of the strategy. RESULTS: The increase in performance of tobacco cessation care was significant and sustained at six months postimplementation for assessing smoking status (50.9% vs. 76.3%; odds ratio [OR] = 3.04; 95% confidence interval [CI] = 2.80-3.31), providing advice (15.1% vs. 92.7%; OR = 69.3; 95% CI = 51.88-92.60), assessing readiness to quit (22.8% vs. 76.6%; OR = 10.80; 95% CI = 8.92-13.08), and accepting a referral to the QL (1.3% vs. 21.7%; OR = 20.31; 95% CI = 4.91-84.05). CONCLUSION: Key stakeholder engagement informed a system change intervention that includes an EHR-supported role expansion of MAs for QL referrals; these changes substantially increased the provision of tobacco cessation care.

Sepsis quality in safety-net hospitals: An analysis of Medicare's SEP-1 performance measure.

PURPOSE: Newly enacted policies at the state and federal level in the United States require acute care hospitals to engage in sepsis quality improvement. However, responding to these policies requires considerable resources and may disproportionately burden safety-net hospitals. To better understand this issue, we analyzed the relationship between hospital safety-net status and performance on Medicare's SEP-1 quality measure. MATERIALS AND METHODS: We linked multiple publicly-available datasets with information on SEP-1 performance, structural hospital characteristics, hospital financial case mix, and health system affiliation. We analyzed the relationship between hospital safety-net status and SEP-1 performance, as well as whether hospital characteristics moderated that relationship. RESULTS: We analyzed data from 2827 hospitals, defining safety-net hospitals using financial case mix data. The 703 safety-net hospitals performed worse on Medicare's SEP-1 quality measure (adjusted difference 2.3% compliance, 95% CI -4.0%--0.6%). This association was most evident in hospitals not affiliated with health systems, in which the difference between safety-net and non-safety-net hospitals was 6.8% compliance (95% CI -10.4%--3.3%). CONCLUSIONS: Existing sepsis policies may harm safety-net hospitals and widen health disparities. Our findings suggest that strategies to promote collaboration among hospitals may be an avenue for sepsis performance improvement in safety-net hospitals.

Patient-centered communication: dissecting provider communication.

PURPOSE: The purpose of this paper is to examine the relationship between patients' provider communication effectiveness and courteousness with patients' satisfaction and trust at free clinics. DESIGN/METHODOLOGY/APPROACH: This cross-sectional survey (n=507), based on the Consumer Assessment of Healthcare Providers and Systems instrument, was conducted in two Southeastern US free clinics. Latent class analysis (LCA) was used to identify patient subgroups (clusters) with similar but not immediately visible characteristics. FINDINGS: Across the items assessing provider communication effectiveness and courteousness, five distinct clusters based on patient satisfaction, trust and socio-demographics were identified. In clusters where communication and courteousness ratings were consistent, trust and satisfaction ratings were aligned with these domains, e.g., 54 percent rated communication and courteousness highly, which was associated with high patient satisfaction and trust. When communication effectiveness and courteousness ratings diverged (e.g., low communication effectiveness but high courteousness), patient trust and satisfaction ratings aligned with communication effectiveness ratings. In all clusters, the association was greater for communication effectiveness than for provider courteousness. Thus, provider courteousness was important but secondary to communication effectiveness. PRACTICAL IMPLICATIONS: Investment in patient-centered communication training for providers will improve patient satisfaction and trust. ORIGINALITY/VALUE: The study is the first to examine individual provider communication components and how they relate to patient satisfaction and trust in free clinics. LCA helped to more fully examine communication constructs, which may be beneficial for more nuanced quality improvement efforts.

Adjusting for social risk factors impacts performance and penalties in the hospital readmissions reduction program.

OBJECTIVE: Medicare's Hospital Readmissions Reduction Program (HRRP) does not account for social risk factors in risk adjustment, and this may lead the program to unfairly penalize safety-net hospitals. Our objective was to determine the impact of adjusting for social risk factors on HRRP penalties. STUDY DESIGN: Retrospective cohort study. DATA SOURCES/STUDY SETTING: Claims data for 2 952 605 fee-for-service Medicare beneficiaries with acute myocardial infarction (AMI), congestive heart failure (CHF) or pneumonia from December 2012 to November 2015. PRINCIPAL FINDINGS: Poverty, disability, housing instability, residence in a disadvantaged neighborhood, and hospital population from a disadvantaged neighborhood were associated with higher readmission rates. Under current program specifications, safety-net hospitals had higher readmission ratios (AMI, 1.020 vs 0.986 for the most affluent hospitals; pneumonia, 1.031 vs 0.984; and CHF, 1.037 vs 0.977). Adding social factors to risk adjustment cut these differences in half. Over half the safety-net hospitals saw their penalty decline; 4-7.5 percent went from having a penalty to having no penalty. These changes translated into a $17 million reduction in penalties to safety-net hospitals. CONCLUSIONS: Accounting for social risk can have a major financial impact on safety-net hospitals. Adjustment for these factors could reduce negative unintended consequences of the HRRP.

Magnet hospital recognition in hospital systems over time.

BACKGROUND: Magnet hospitals are recognized for nursing excellence and high-value patient outcomes, yet little is known about which and when hospitals pursue Magnet recognition. Concurrently, hospital systems are becoming a more prominent feature of the U.S. health care landscape. PURPOSE: The aim of the study was to examine Magnet adoption among hospital systems over time. APPROACH: Using American Hospital Association surveys (1998-2012), we characterized the proportion of Magnet hospitals belonging to systems. We used hospital level fixed-effects regressions to capture changes in a given system hospital's Magnet status over time in relation to a variety of conditions, including prior Magnet adoption by system affiliates and nonaffiliates in local and geographically distant markets and whether these relationships varied by degree of system centralization. RESULTS: The proportion of Magnet hospitals belonging to a system is increasing. Prior Magnet adoption by a hospital within the local market was associated with an increased likelihood of a given system hospital becoming Magnet, but the effect was larger if there was prior adoption by affiliates (7.4% higher likelihood) versus nonaffiliates (2.7% higher likelihood). Prior adoption by affiliates and nonaffiliates in geographically distant markets had a lesser effect. Hospitals belonging to centralized systems were more reactive to Magnet adoption of nonaffiliate hospitals as compared with those in decentralized systems. CONCLUSIONS: Hospital systems take an organizational perspective toward Magnet adoption, whereby more system affiliates achieve Magnet recognition over time. PRACTICE IMPLICATIONS: The findings are relevant to health care and nursing administrators and policymakers interested in the diffusion of an empirically supported organizational innovation associated with quality outcomes, particularly in a time of increasing hospital consolidation and system expansion. We identify factors associated with Magnet adoption across system hospitals and demonstrate the importance of considering diffusion of organizational innovations in relation to system centralization. We suggest that decentralized system hospitals may be missing potential benefits of such organizational innovations.

Effects of a pharmacist-driven intervention program on hospital readmissions.

PURPOSE: Results of a study to determine whether routine use of a multifaceted medication-focused intervention at a safety-net hospital was feasible and could reduce hospital readmissions in a Medicare fee-for-service population are reported. METHODS: A quality-improvement cohort study of 1,059 admissions of 667 patients at an inner-city hospital was conducted. Patients in the intervention groups received some or all components of the multifaceted "Medication REACH" intervention, with direct pharmacist involvement from admission through postdischarge aftercare. A pharmacist reconciled medications, provided patient-centered education, collaborated with healthcare providers to optimize therapy, ensured access to medications, and followed up with patients at home as needed. Rates of unplanned readmissions within 30 days of discharge in the full- and partial-intervention groups and in patients who received standard discharge care were compared. RESULTS: Among patients who received the full Medication REACH intervention, 30 of 305 admissions (9.8%) resulted in unplanned readmissions within 30 days, as compared with a readmission rate of 20.4% (110 of 538 patients) among patients who received standard discharge care (p < 0.001). Linear regression modeling, with adjustments for patient age, sex, ethnicity, and case-mix index, indicated an adjusted risk difference favoring the full-intervention group of 9.4 percentage points (95% confidence interval, 4.3-14.6 percentage points; p < 0.001). CONCLUSION: Rates of 30-day readmission were substantially lower with pharmacist involvement and collaboration with other healthcare team members during patient transitions from the hospital to the home setting.

Colorectal Cancer Safety Net: Is It Catching Patients Appropriately?

BACKGROUND: Disparities in access to colorectal cancer care are multifactorial and are affected by socioeconomic elements. Uninsured and Medicaid patients present with advanced stage disease and have worse outcomes compared with similar privately insured patients. Safety net hospitals are a major care provider to this vulnerable population. Few studies have evaluated outcomes for safety net hospitals compared with private institutions in colorectal cancer. OBJECTIVE: The purpose of this study was to compare demographics, screening rates, presentation stage, and survival rates between a safety net hospital and a tertiary care center. DESIGN: Comparative review of patients at 2 institutions in the same metropolitan area were conducted. SETTINGS: The study included colorectal cancer care delivered either at 1 safety net hospital or 1 private tertiary care center in the same city from 2010 to 2016. PATIENTS: A total of 350 patients with colorectal cancer from each hospital were evaluated. MAIN OUTCOME MEASURES: Overall survival across hospital systems was measured. RESULTS: The safety net hospital had significantly more uninsured and Medicaid patients (46% vs 13%; p < 0.001) and a significantly lower median household income than the tertiary care center ($39,299 vs $49,741; p < 0.0001). At initial presentation, a similar percentage of patients at each hospital presented with stage IV disease (26% vs 20%; p = 0.06). For those undergoing resection, final pathologic stage distribution was similar across groups (p = 0.10). After a comparable median follow-up period (26.6 mo for safety net hospital vs 29.2 mo for tertiary care center), log-rank test for overall survival favored the safety net hospital (p = 0.05); disease-free survival was similar between hospitals (p = 0.40). LIMITATIONS: This was a retrospective review, reporting from medical charts. CONCLUSIONS: Our results support the value of safety net hospitals for providing quality colorectal cancer care, with survival and recurrence outcomes equivalent or improved compared with a local tertiary care center. Because safety net hospitals can provide equivalent outcomes despite socioeconomic inequalities and financial constraints, emphasis should be focused on ensuring that adequate funding for these institutions continues. See Video Abstract at http://links.lww.com/DCR/A454.

Changes to Racial Disparities in Readmission Rates After Medicare's Hospital Readmissions Reduction Program Within Safety-Net and Non-Safety-Net Hospitals.

Importance: Although readmission rates are declining under Medicare's Hospital Readmissions Reduction Program (HRRP), concerns remain that the HRRP will harm quality at safety-net hospitals because they are penalized more often. Disparities between white and black patients might widen because more black patients receive care at safety-net hospitals. Disparities may be particularly worse for clinical conditions not targeted by the HRRP because hospitals might reallocate resources toward targeted conditions (acute myocardial infarction, pneumonia, and heart failure) at the expense of nontargeted conditions. Objective: To examine disparities in readmission rates between white and black patients discharged from safety-net or non-safety-net hospitals after the HRRP began, evaluating discharges for any clinical condition and the subsets of targeted and nontargeted conditions. Design, Setting, and Participants: Cohort study conducting quasi-experimental analyses of patient hospital discharges for any clinical condition among fee-for-service Medicare beneficiaries from 2007 to 2015 after controlling for patient and hospital characteristics. Changes in disparities were measured within safety-net and non-safety-net hospitals after the HRRP penalties were enforced and compared with prior trends. These analyses were then stratified by targeted and nontargeted conditions. Analyses were conducted from October 1, 2017, through August 31, 2018. Main Outcomes and Measures: Trends in 30-day readmission rates among white and black patients by quarter and differences in trends across periods. Results: The study sample included 58 237 056 patient discharges (black patients, 9.8%; female, 57.7%; mean age [SD] age, 78.8 [7.9] years; nontargeted conditions, 50 372 806 [86.5%]). Within safety-net hospitals, disparities in readmission rates for all clinical conditions widened between black and white patients by 0.04 percentage point per quarter in the HRRP penalty period (95% CI, 0.01 to 0.07; P = .01). This widening was driven by nontargeted conditions (0.05 percentage point per quarter [95% CI, 0.01 to 0.08]; P = .006), whereas disparities for the HRRP-targeted conditions did not change (with an increase of 0.01 percentage point per quarter [95% CI, -0.07 to 0.10]; P = .74). Within non-safety-net hospitals, racial disparities remained stable in the HRRP penalty period across all conditions, whether the conditions were HRRP-targeted or nontargeted. Conclusions and Relevance: Findings from this study suggest that disparities are widening within safety-net hospitals, specifically for non-HRRP-targeted conditions. Although increases in racial disparities for nontargeted conditions were modest, they represent 6 times more discharges in our cohort than targeted conditions.

Defining trauma in complex care management: Safety-net providers' perspectives on structural vulnerability and time.

In this paper, we delineate how staff of two complex care management (CCM) programs in urban safety net hospitals in the United States understand trauma. We seek to (1) describe how staff in CCM programs talk about trauma in their patients' lives; (2) discuss how trauma concepts allow staff to understand patients' symptoms, health-related behaviors, and responses to care as results of structural conditions; and (3) delineate the mismatch between long-term needs of patients with histories of trauma and the short-term interventions that CCM programs provide. Observation and interview data gathered between February 2015 and August 2016 indicate that CCM providers define trauma expansively to include individual experiences of violence such as childhood abuse and neglect or recent assault, traumatization in the course of accessing health care and structural violence. Though CCM staff implement elements of trauma-informed care, the short-term design of CCM programs puts pressure on the staff to titrate their efforts, moving patients towards graduation or discharge. Trauma concepts enable clinicians to name structural violence in clinically legitimate language. As such, trauma-informed care and structural competency approaches can complement each other.