In-Hospital vs 30-Day Sepsis Mortality at US Safety-Net and Non-Safety-Net Hospitals.

Importance: In-hospital mortality of patients with sepsis is frequently measured for benchmarking, both by researchers and policymakers. Prior studies have reported higher in-hospital mortality among patients with sepsis at safety-net hospitals compared with non-safety-net hospitals; however, in critically ill patients, in-hospital mortality rates are known to be associated with hospital discharge practices, which may differ between safety-net hospitals and non-safety-net hospitals. Objective: To assess how admission to safety-net hospitals is associated with 2 metrics of short-term mortality (in-hospital mortality and 30-day mortality) and discharge practices among patients with sepsis. Design, Setting, and Participants: Retrospective, national cohort study of Medicare fee-for-service beneficiaries aged 66 years and older, admitted with sepsis to an intensive care unit from January 2011 to December 2019 based on information from the Medicare Provider Analysis and Review File. Data were analyzed from October 2022 to September 2023. Exposure: Admission to a safety-net hospital (hospitals with a Medicare disproportionate share index in the top quartile per US region). Main Outcomes and Measures: Coprimary outcomes: in-hospital mortality and 30-day mortality. Secondary outcomes: (1) in-hospital do-not-resuscitate orders, (2) in-hospital palliative care delivery, (3) discharge to a postacute facility (skilled nursing facility, inpatient rehabilitation facility, or long-term acute care hospital), and (4) discharge to hospice. Results: Between 2011 and 2019, 2 551 743 patients with sepsis (mean [SD] age, 78.8 [8.2] years; 1 324 109 [51.9%] female; 262 496 [10.3%] Black, 2 137 493 [83.8%] White, and 151 754 [5.9%] other) were admitted to 666 safety-net hospitals and 1924 non-safety-net hospitals. Admission to safety-net hospitals was associated with higher in-hospital mortality (odds ratio [OR], 1.09; 95% CI, 1.06-1.13) but not 30-day mortality (OR, 1.01; 95% CI, 0.99-1.04). Admission to safety-net hospitals was associated with lower do-not-resuscitate rates (OR, 0.86; 95% CI, 0.81-0.91), palliative care delivery rates (OR, 0.66; 95% CI, 0.60-0.73), and hospice discharge (OR, 0.82; 95% CI, 0.78-0.87) but not with discharge to postacute facilities (OR, 0.98; 95% CI, 0.95-1.01). Conclusions and Relevance: In this cohort study, among patients with sepsis, admission to safety-net hospitals was associated with higher in-hospital mortality but not with 30-day mortality. Differences in in-hospital mortality may partially be explained by greater use of hospice at non-safety-net hospitals, which shifts attribution of death from the index hospitalization to hospice. Future investigations and publicly reported quality measures should consider time-delimited rather than hospital-delimited measures of short-term mortality to avoid undue penalty to safety-net hospitals with similar short-term mortality.

A Novel Machine Learning Algorithm for Creating Risk-Adjusted Payment Formulas.

Importance: Models predicting health care spending and other outcomes from administrative records are widely used to manage and pay for health care, despite well-documented deficiencies. New methods are needed that can incorporate more than 70 000 diagnoses without creating undesirable coding incentives. Objective: To develop a machine learning (ML) algorithm, building on Diagnostic Item (DXI) categories and Diagnostic Cost Group (DCG) methods, that automates development of clinically credible and transparent predictive models for policymakers and clinicians. Design, Setting, and Participants: DXIs were organized into disease hierarchies and assigned an Appropriateness to Include (ATI) score to reflect vagueness and gameability concerns. A novel automated DCG algorithm iteratively assigned DXIs in 1 or more disease hierarchies to DCGs, identifying sets of DXIs with the largest regression coefficient as dominant; presence of a previously identified dominating DXI removed lower-ranked ones before the next iteration. The Merative MarketScan Commercial Claims and Encounters Database for commercial health insurance enrollees 64 years and younger was used. Data from January 2016 through December 2018 were randomly split 90% to 10% for model development and validation, respectively. Deidentified claims and enrollment data were delivered by Merative the following November in each calendar year and analyzed from November 2020 to January 2024. Main Outcome and Measures: Concurrent top-coded total health care cost. Model performance was assessed using validation sample weighted least-squares regression, mean absolute errors, and mean errors for rare and common diagnoses. Results: This study included 35 245 586 commercial health insurance enrollees 64 years and younger (65 901 460 person-years) and relied on 19 clinicians who provided reviews in the base model. The algorithm implemented 218 clinician-specified hierarchies compared with the US Department of Health and Human Services (HHS) hierarchical condition category (HCC) model's 64 hierarchies. The base model that dropped vague and gameable DXIs reduced the number of parameters by 80% (1624 of 3150), achieved an R2 of 0.535, and kept mean predicted spending within 12% ($3843 of $31 313) of actual spending for the 3% of people with rare diseases. In contrast, the HHS HCC model had an R2 of 0.428 and underpaid this group by 33% ($10 354 of $31 313). Conclusions and Relevance: In this study, by automating DXI clustering within clinically specified hierarchies, this algorithm built clinically interpretable risk models in large datasets while addressing diagnostic vagueness and gameability concerns.

Medicaid Expansion and Preventable Emergency Department Use by Race/Ethnicity.

INTRODUCTION: This study aimed to examine changes in emergency department (ED) visits for ambulatory care sensitive conditions (ACSCs) among uninsured or Medicaid-covered Black, Hispanic, and White adults aged 26-64 in the first 5 years of the Affordable Care Act Medicaid expansion. METHODS: Using 2010-2018 inpatient and ED discharge data from nine expansion and five nonexpansion states, an event study difference-in-differences regression model was used to estimate changes in number of annual ACSC ED visits per 100 adults ("ACSC ED rate") associated with the 2014 Medicaid expansion, overall and by race/ethnicity. A secondary outcome was the proportion of ACSC ED visits out of all ED visits ("ACSC ED share"). Analyses were conducted in 2022-2023. RESULTS: Medicaid expansion was associated with no change in ACSC ED rates among all, Black, Hispanic, or White adults. When excluding California, where most counties expanded Medicaid before 2014, expansion was associated with a decrease in ACSC ED rate among all, Black, Hispanic, and White adults. Expansion was also associated with a decrease in ACSC ED share among all, Black, and White adults. White adults experienced the largest reductions in ACSC ED rate and share. CONCLUSIONS: Medicaid expansion was associated with reductions in ACSC ED rates in some expansion states and reductions in ACSC ED share in all expansion states combined, with some heterogeneity by race/ethnicity. Expansion should be coupled with policy efforts to better link newly insured Black and Hispanic patients to non-ED outpatient care, alongside targeted outreach and expanded primary care capacity, which may reduce disparities in ACSC ED visits.

Disparities by Sex, Race, and Ethnicity in Use of Left Ventricular Assist Devices and Heart Transplants Among Patients With Heart Failure With Reduced Ejection Fraction.

BACKGROUND: The extent to which sex, racial, and ethnic groups receive advanced heart therapies equitably is unclear. We estimated the population rate of left ventricular assist device (LVAD) and heart transplant (HT) use among (non-Hispanic) White, Hispanic, and (non-Hispanic) Black men and women who have heart failure with reduced ejection fraction (HFrEF). METHODS AND RESULTS: We used a retrospective cohort design combining counts of LVAD and HT procedures from 19 state inpatient discharge databases from 2010 to 2018 with counts of adults with HFrEF. Our primary outcome measures were the number of LVAD and HT procedures per 1000 adults with HFrEF. The main exposures were sex, race, ethnicity, and age. We used Poisson regression models to estimate procedure rates adjusted for differences in age, sex, race, and ethnicity. In 2018, the estimated population of adults aged 35 to 84 years with HFrEF was 69 736, of whom 44% were women. Among men, the LVAD rate was 45.6, and the HT rate was 26.9. Relative to men, LVAD and HT rates were 72% and 62% lower among women (P<0.001). Relative to White men, LVAD and HT rates were 25% and 46% lower (P<0.001) among Black men. Among Hispanic men and women and Black women, LVAD and HT rates were similar (P>0.05) or higher (P<0.01) than among their White counterparts. CONCLUSIONS: Among adults with HFrEF, the use of LVAD and HT is lower among women and Black men. Health systems and policymakers should identify and ameliorate sources of sex and racial inequities.

Intranasal Naloxone for Opioid Overdose.

This JAMA Insights describes indications for naloxone use in preventing opioid overdoses and benefits vs barriers to its availability following FDA approval of its availability without a prescription.

Subthreshold opioid use disorder prevention (STOP) trial: a cluster randomized clinical trial: study design and methods.

BACKGROUND: Preventing progression to moderate or severe opioid use disorder (OUD) among people who exhibit risky opioid use behavior that does not meet criteria for treatment with opioid agonists or antagonists (subthreshold OUD) is poorly understood. The Subthreshold Opioid Use Disorder Prevention (STOP) Trial is designed to study the efficacy of a collaborative care intervention to reduce risky opioid use and to prevent progression to moderate or severe OUD in adult primary care patients with subthreshold OUD. METHODS: The STOP trial is a cluster randomized controlled trial, randomized at the PCP level, conducted in 5 distinct geographic sites. STOP tests the efficacy of the STOP intervention in comparison to enhanced usual care (EUC) in adult primary care patients with risky opioid use that does not meet criteria for moderate-severe OUD. The STOP intervention consists of (1) a practice-embedded nurse care manager (NCM) who provides patient participant education and supports primary care providers (PCPs) in engaging and monitoring patient-participants; (2) brief advice, delivered to patient participants by their PCP and/or prerecorded video message, about health risks of opioid misuse; and (3) up to 6 sessions of telephone health coaching to motivate and support behavior change. EUC consists of primary care treatment as usual, plus printed overdose prevention educational materials and an educational video on cancer screening. The primary outcome measure is self-reported number of days of risky (illicit or nonmedical) opioid use over 180 days, assessed monthly via text message using items from the Addiction Severity Index and the Current Opioid Misuse Measure. Secondary outcomes assess other substance use, mental health, quality of life, and healthcare utilization as well as PCP prescribing and monitoring behaviors. A mixed effects negative binomial model with a log link will be fit to estimate the difference in means between treatment and control groups using an intent-to-treat population. DISCUSSION: Given a growing interest in interventions for the management of patients with risky opioid use, and the need for primary care-based interventions, this study potentially offers a blueprint for a feasible and effective approach to improving outcomes in this population. TRIAL REGISTRATION: Clinicaltrials.gov, identifier NCT04218201, January 6, 2020.

Affordable Care Act Medicaid Expansion was Associated With Reductions in the Proportion of Hospitalizations That are Potentially Preventable Among Hispanic and White Adults.

OBJECTIVE: Using data on 5 years of postexpansion experience, we examined whether the coverage gains from Affordable Care Act Medicaid expansion among Black, Hispanic, and White individuals led to improvements in objective indicators of outpatient care adequacy and quality. RESEARCH DESIGN: For the population of adults aged 45-64 with no insurance or Medicaid coverage, we obtained data on census population and hospitalizations for ambulatory care sensitive conditions (ACSCs) during 2010-2018 in 14 expansion and 7 nonexpansion states. Our primary outcome was the percentage share of hospitalizations due to ACSC out of all hospitalizations ("ACSC share") among uninsured and Medicaid-covered patients. Secondary outcomes were the population rate of ACSC and all hospitalizations. We used multivariate regression models with an event-study difference-in-differences specification to estimate the change in the outcome measures associated with expansion in each of the 5 postexpansion years among Hispanic, Black, and White adults. PRINCIPAL FINDINGS: At baseline, ACSC share in the expansion states was 19.0%, 14.5%, and 14.3% among Black, Hispanic, and White adults. Over the 5 years after expansion, Medicaid expansion was associated with an annual reduction in ACSC share of 5.3% (95% CI, -7.4% to -3.1%) among Hispanic and 8.0% (95% CI, -11.3% to -4.5%) among White adults. Among Black adults, estimates were mixed and indicated either no change or a reduction in ACSC share. CONCLUSIONS: After Medicaid expansion, low-income Hispanic and White adults experienced a decrease in the proportion of potentially preventable hospitalizations out of all hospitalizations.

High Engagement in Care in a Pediatric Medical Home for Children Impacted By Parental Substance Use.

The opioid epidemic has heavily affected adults of childbearing age, leading to thousands of children impacted by parental substance use. Few programs provide longitudinal support to these children. This article describes an innovative pediatric medical home model for substance-impacted children and their families, at an urban safety-net hospital. The team-based program directly serves children, and also devotes significant resources to parental health and recovery. In the program's first 3 years, 95% of enrollees were engaged in care, meeting the American Academy of Pediatrics' recommended periodicity schedule for preventive health visits. On-time receipt of childhood vaccines ranged from 95% (pneumococcal conjugate) to 100% (human papilloma virus). The program's high engagement in care shows promise in engaging vulnerable families over time. Future work should explore how to engage children from more diverse backgrounds, and should examine whether the model impacts other indicators of health and well-being for children impacted by parental substance use.

Medicaid expansion associated with no change in emergency department use across racial and ethnic groups.

OBJECTIVE: To estimate changes in the emergency department (ED) visit rate, hospitalization share of ED visits, and ED visit volumes associated with Medicaid expansion among Hispanic, Black, and White adults. DATA COLLECTION/EXTRACTION METHODS: For the population of adults aged 26-64 with no insurance or Medicaid coverage, we obtained census population and ED visit counts during 2010-2018 in nine expansion and five nonexpansion states. MAIN OUTCOMES AND MEASURES: The primary outcome was the annual number of ED visits per 100 adults ("ED rate"). The secondary outcomes were the share of ED visits leading to hospitalization, total number ("volumes") of all ED visits, ED visits leading to discharge ("treat-and-release") and ED visits leading to hospitalization ("transfer-to-inpatient"), and the share of the study population with Medicaid ("Medicaid share"). STUDY DESIGN: An event-study difference in differences design that contrasts pre- versus post-expansion changes in outcomes in Medicaid expansion and nonexpansion states. PRINCIPAL FINDINGS: In 2013, the ED rate was 92.6, 34.4, and 59.2 ED visits among Black, Hispanic, and White adults, respectively. The expansion was associated with no change in ED rate in all three groups in each of the five post-expansion years. We found that expansion was associated with no change in the hospitalization share of ED visits and the volume of all ED visits, treat-and-release ED visits, and transfer-to-inpatient ED visits. The expansion was associated with an 11.7% annual increase (95% CI, 2.7%-21.2%) in the Medicaid share of Hispanic adults, but no significant change among Black adults (3.8%; 95% CI, -0.04% to 7.7%). CONCLUSION: ACA Medicaid expansion was associated with no changes in the rate of ED visits among Black, Hispanic, and White adults. Expanding Medicaid eligibility may not change ED use, including among Black and Hispanic subgroups.

A novel pharmacy liaison program to address health-related social needs at an urban safety-net hospital.

PURPOSE: Patients with unmet health-related social needs (HRSNs) often experience poor health outcomes and have high levels of healthcare utilization. We describe a program where dually trained pharmacy liaison-patient navigators (PL-PNs) screen for and address HRSNs while providing medication management services to patients with high levels of acute care utilization in a Medicaid Accountable Care Organization. We are unaware of prior studies that have described this PL-PN role. METHODS: We analyzed case management spreadsheets for the 2 PL-PNs who staffed the program to identify the HRSNs that patients faced and the ways PL-PNs addressed them. We administered surveys, including an 8-item client satisfaction questionnaire (CSQ-8), to characterize patient perceptions of the program. RESULTS: Initially, 182 patients (86.6% English speaking, 80.2% from a marginalized racial or ethnic group, and 63.2% with a significant medical comorbidity) were enrolled in the program. Non-English-speaking patients were more likely to receive the minimum intervention dose (completion of an HRSN screener). Case management spreadsheet data (available for 160 patients who engaged with the program) indicated that 71% of participants faced at least one HRSN, most often food insecurity (30%), lack of transportation (21%), difficulty paying for utilities (19%), and housing insecurity (19%). Forty-three participants (27%) completed the survey with an average CSQ-8 score of 27.9, indicating high levels of satisfaction with the program. Survey participants reported receiving medication management services, social needs referrals, health-system navigation assistance, and social support. CONCLUSION: Integration of pharmacy medication adherence and patient navigation services is a promising approach to streamline the HRSN screening and referral process at an urban safety-net hospital.

A Pharmacy Liaison-Patient Navigation Intervention to Reduce Inpatient and Emergency Department Utilization Among Primary Care Patients in a Medicaid Accountable Care Organization: A Nonrandomized Controlled Trial.

Importance: Patients with unmet health-related social needs are at high risk for preventable health care utilization. Prior interventions to identify health-related social needs and provide navigation services with community resources have not taken place in pharmacy settings. Objective: To evaluate an enhancement of pharmacy care to reduce hospital admissions and emergency department (ED) visits among primary care patients in a Medicaid accountable care organization (ACO). Design, Setting, and Participants: This nonrandomized controlled trial was conducted from May 1, 2019, through March 4, 2021, with 1 year of follow-up. Study allocation was determined by odd or even medical record number. The study was performed at a general internal medicine practice at a large safety-net hospital in Boston, Massachusetts. Patients who qualified for the hospital's pharmacy care program (aged 18-64 years and within the third to tenth percentile for health care utilization and cost among Medicaid ACO membership) who attended a visit with a primary care clinician were eligible. Of 770 eligible patients, 577 were approached, 127 declined, and 86 could not be contacted. Interventions: Patients in the control group received usual pharmacy care focused on medication adherence. Patients in the intervention group received enhanced pharmacy care with an additional focus on identification of and intervention for health-related social needs. The intervention took place for 1 year. Main Outcomes and Measures: The primary outcome was inpatient hospital admissions and ED visits (composite outcome) in the 12 months after enrollment during the intervention period. Results: Among 364 allocated patients (mean [SD] age, 50.1 [10.1] years; 216 women [59.3%]), 35 were Hispanic of any race (9.6%) and 214 were non-Hispanic Black (58.8%). All participants were included in the intention-to-treat analysis. In analyses controlling for baseline hospital admissions and ED visits the year prior to enrollment, the enhanced pharmacy care group was not associated with the odds of having any hospital admission or ED visit (adjusted odds ratio, 0.62 [95% CI, 0.23-1.62]; P = .32) among all patients and was not associated with the visit rates among those with any visit (adjusted rate ratio, 0.93 [95% CI, 0.71-1.22]; P = .62) relative to the usual pharmacy care group in the year following enrollment. Conclusions and Relevance: The findings of this nonrandomized controlled trial suggest that inpatient and ED utilization among Medicaid ACO members at a safety-net hospital was not significantly different between groups at 1-year follow-up. Trial Registration: ClinicalTrials.gov Identifier: NCT03919084.

Evidence-Based Interventions to Improve Opioid Prescribing in Primary Care: a Qualitative Assessment of Implementation in Two Studies.

BACKGROUND: The TOPCARE and TEACH randomized controlled trials demonstrated the efficacy of a multi-faceted intervention to promote guideline-adherent long-term opioid therapy (LTOT) in primary care settings. Intervention components included a full-time Nurse Care Manager (NCM), an electronic registry, and academic detailing sessions. OBJECTIVE: This study sought to identify barriers, facilitators, and other issues germane to the wider implementation of this intervention. DESIGN: We conducted a nested, qualitative study at 4 primary care clinics (TOPCARE) and 2 HIV primary care clinics (TEACH), where the trials had been conducted. APPROACH: We purposively sampled primary care physicians and advanced practice providers (hereafter: PCPs) who had received the intervention. Semi-structured interviews explored perceptions of the intervention to identify unanticipated barriers to and facilitators of implementation. Interview transcripts were analyzed through iterative deductive and inductive coding exercises. KEY RESULTS: We interviewed 32 intervention participants, 30 physicians and 2 advanced practice providers, who were majority White (66%) and female (63%). Acceptability of the intervention was high, with most PCPs valuing didactic and team-based intervention elements, especially co-management of LTOT patients with the NCM. Adoption of new prescribing practices was facilitated by proximity to expertise, available behavioral health care, and the NCM's support. Most participants were enthusiastic about the intervention, though a minority voiced concerns about the appropriateness in their particular clinical environments, threats to the patient-provider relationship, or long-term sustainability. CONCLUSION: TOPCARE/TEACH participants found the intervention generally acceptable, appropriate, and easy to adopt in a variety of primary care environments, though some challenges were identified. Careful attention to the practical challenges of implementation and the professional relationships affected by the intervention may facilitate implementation and sustainability.

Development and Assessment of a New Framework for Disease Surveillance, Prediction, and Risk Adjustment: The Diagnostic Items Classification System.

Importance: Current disease risk-adjustment formulas in the US rely on diagnostic classification frameworks that predate the International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM). Objective: To develop an ICD-10-CM-based classification framework for predicting diverse health care payment, quality, and performance outcomes. Design Setting and Participants: Physician teams mapped all ICD-10-CM diagnoses into 3 types of diagnostic items (DXIs): main effect DXIs that specify diseases; modifiers, such as laterality, timing, and acuity; and scaled variables, such as body mass index, gestational age, and birth weight. Every diagnosis was mapped to at least 1 DXI. Stepwise and weighted least-squares estimation predicted cost and utilization outcomes, and their performance was compared with models built on (1) the Agency for Healthcare Research and Quality Clinical Classifications Software Refined (CCSR) categories, and (2) the Health and Human Services Hierarchical Condition Categories (HHS-HCC) used in the Affordable Care Act Marketplace. Each model's performance was validated using R 2, mean absolute error, the Cumming prediction measure, and comparisons of actual to predicted outcomes by spending percentiles and by diagnostic frequency. The IBM MarketScan Commercial Claims and Encounters Database, 2016 to 2018, was used, which included privately insured, full- or partial-year eligible enrollees aged 0 to 64 years in plans with medical, drug, and mental health/substance use coverage. Main Outcomes and Measures: Fourteen concurrent outcomes were predicted: overall and plan-paid health care spending (top-coded and not top-coded); enrollee out-of-pocket spending; hospital days and admissions; emergency department visits; and spending for 6 types of services. The primary outcome was annual health care spending top-coded at $250 000. Results: A total of 65 901 460 person-years were split into 90% estimation/10% validation samples (n = 6 604 259). In all, 3223 DXIs were created: 2435 main effects, 772 modifiers, and 16 scaled items. Stepwise regressions predicting annual health care spending (mean [SD], $5821 [$17 653]) selected 76% of the main effect DXIs with no evidence of overfitting. Validated R 2 was 0.589 in the DXI model, 0.539 for CCSR, and 0.428 for HHS-HCC. Use of DXIs reduced underpayment for enrollees with rare (1-in-a-million) diagnoses by 83% relative to HHS-HCCs. Conclusions: In this diagnostic modeling study, the new DXI classification system showed improved predictions over existing diagnostic classification systems for all spending and utilization outcomes considered.

Hospitalization as an opportunity to engage underserved individuals in shared decision-making for lung cancer screening: results from two randomized pilot trials.

PURPOSE: Medicare requires tobacco dependence counseling and shared decision-making (SDM) for lung cancer screening (LCS) reimbursement. We hypothesized that initiating SDM during inpatient tobacco treatment visits would increase LCS among patients with barriers to proactively seeking outpatient preventive care. METHODS: We collected baseline assessments and performed two pilot randomized trials at our safety-net hospital. Pilot 1 tested feasibility, acceptability, and preliminary efficacy of a nurse practitioner initiating SDM for LCS during hospitalization (Inpatient SDM). We collected qualitative data on barriers encountered during Pilot 1. Pilot 2 added a community health worker (CHW) to address barriers to LCS completion (Inpatient SDM + CHW-navigation). For both studies, preliminary efficacy was an intention-to-treat analysis of LCS completion at 3 months between intervention and comparator (furnishing of LCS decision aid only) groups. RESULTS: Baseline assessments showed that patients preferred in-person LCS discussions versus self-reviewing materials; overall 20% had difficulty understanding written information. In Pilot 1, 4% (2/52) in Inpatient SDM versus 2% (1/48, comparator) completed LCS (p = 0.6), despite 89% (89/100) desiring LCS. Primary care providers noted that competing priorities and patient factors (e.g., social barriers to keeping appointments) prevented the intervention from working as intended. In Pilot 2, 50% (5/10) in Inpatient SDM + CHW-navigation versus 9% (1/11, comparator) completed LCS (p < 0.05). Many patients were ineligible due to recent diagnostic chest CT (Pilot 1: 255/659; Pilot 2: 239/527). CONCLUSIONS: Inpatient SDM + CHW-navigation shows promise to improve LCS rates among underserved patients who smoke, but feasibility is limited by recent diagnostic chest CT among inpatients. Implementing CHW-navigation in other clinical settings may facilitate LCS for underserved patients. TRAIL REGISTRATION: ClinicalTrials.gov Identifier: NCT03276806 (8 September 2017); NCT03793894 (4 January 2019).

Impact of United States 2017 Immigration Policy changes on missed appointments at two Massachusetts Safety-Net Hospitals.

INTRODUCTION: Studies have shown mixed findings regarding the impact of immigration policy changes on immigrants' utilization of primary care. METHODS: We used a difference-in-differences analysis to compare changes in missed primary care appointments over time across two groups: patients who received care in Spanish, Portuguese, or Haitian Creole, and non-Hispanic, white patients who received care in English. RESULTS: After adjustment for age, sex, race, insurance, hospital system, and presence of chronic conditions, immigration policy changes were associated with an absolute increase in the missed appointment prevalence of 0.74 percentage points (95% confidence interval: 0.34, 1.15) among Spanish, Portuguese and Haitian-Creole speakers. We estimated that missed appointments due to immigration policy changes resulted in lost revenue of over $185,000. CONCLUSIONS: We conclude that immigration policy changes were associated with a significant increase in missed appointments among patients who receive medical care in languages other than English.

Resilience and diabetes self-management among African-American men receiving primary care at an urban safety-net hospital: a cross-sectional survey.

BACKGROUND: Resilience is the ability to adapt to adverse life events. Studies that explore diabetes self-management interventions integrating resilience in African-Americans with diabetes include few African-American men, who have higher diabetes-related mortality and complication rates compared to African-American women. DESIGN: We conducted a cross-sectional study of African-American men with uncontrolled diabetes living in diabetes hotspots. We measured resilience levels using the General Self Efficacy Scale (GSES), adherence to diabetes self-management behaviors using the Diabetes Self-Management Questionnaire (DSMQ), and incarceration history by phone survey. We categorized participants as higher or lower resilience level and higher or lower adherence to diabetes self-management behaviors. Using multivariable logistic regression, we examined the relationship between resilience and adherence to diabetes self-management behaviors. Our model accounted for potential confounders, including age, incarceration history, and socioeconomic factors. RESULTS: Of 234 patients contacted by mail and phone, 94 (40.2%) completed the survey. Mean age was 60.6 years, 59.5% reported an annual household income of less than $20,000, and 29.8% reported a history of incarceration. The mean unadjusted GSES score was 25.0 (sd 5.2; range: 0-30, higher scores indicate greater resilience), and the mean DSMQ score was 7.34 (sd 1.78; range: 0-10, higher scores indicate greater adherence to diabetes self-management behaviors). In multivariable analyses, higher levels of resilience were associated with higher adherence to diabetes self-management behaviors (aOR = 9.68, 95% CI 3.01, 31.12). History of incarceration was negatively associated with higher adherence to diabetes self-management behaviors (aOR = 0.23, 95% CI 0.06, 0.81). CONCLUSIONS: Resilience and personal history of incarceration are associated with adherence to diabetes self-management behaviors among African-American men residing in diabetes hotspots. Future interventions should incorporate resilience training to improve diabetes self-management behaviors. At a societal level, social determinants of health that adversely affect African-American men, such as structural racism and mass incarceration, need to be eliminated.

Do Urine Drug Tests Reveal Substance Misuse Among Patients Prescribed Opioids for Chronic Pain?

BACKGROUND: Urine drug testing (UDT) is a recommended risk mitigation strategy for patients prescribed opioids for chronic pain, but evidence that UDT supports identification of substance misuse is limited. OBJECTIVE: Identify the prevalence of UDT results that may identify substance misuse, including diversion, among patients prescribed opioids for chronic pain. DESIGN: Retrospective cohort study. SUBJECTS: Patients (n=638) receiving opioids for chronic pain who had one or more UDTs, examining up to eight substances per sample, during a one 1-year period. MAIN MEASURES: Experts adjudicated the clinical concern that UDT results suggest substance misuse or diversion as not concerning, uncertain, or concerning. KEY RESULTS: Of 638 patients, 48% were female and 49% were over age 55 years. Patients had a median of three UDTs during the intervention year. We identified 37% of patients (235/638) with ≥1 concerning UDT and a further 35% (222/638) having ≥1 uncertain UDT. We found concerning UDTs due to non-detection of a prescribed substance in 24% (156/638) of patients and detection of a non-prescribed substance in 23% (147/638). Compared to patients over 65 years, those aged 18-34 years were more likely to have concerning UDT results with an adjusted odds ratio (AOR) of 4.8 (95% confidence interval [CI] 1.9-12.5). Patients with mental health diagnoses (AOR 1.6 [95% CI 1.1-2.3]) and substance use diagnoses (AOR 2.3 [95% CI 1.5-3.7]) were more likely to have a concerning UDT result. CONCLUSIONS: Expert adjudication of UDT results identified clinical concern for substance misuse in 37% of patients receiving opioids for chronic pain. Further research is needed to determine if UDTs impact clinical practice or patient-related outcomes.

The design and methods of the OPTIMUM study: A multisite pragmatic randomized clinical trial of a telehealth group mindfulness program for persons with chronic low back pain.

Mindfulness-based stress reduction (MBSR) is an evidence-based non-pharmacological approach for chronic low back pain (cLBP), yet it is not readily available or reimbursable within primary care clinics. Primary care providers (PCPs) who wish to avoid prescribing opioids and other medications typically have few options for their cLBP patients. We present the protocol of a pragmatic clinical trial entitled OPTIMUM (Optimizing Pain Treatment In Medical settings Using Mindfulness). OPTIMUM is offered online via telehealth and includes medical group visits (MGV) with a PCP and a mindfulness meditation intervention modeled on MBSR for persons with cLBP. In diverse health-care settings in the US, such as a safety net hospital, federally qualified health centers, and a large academic health system, 450 patients will be assigned randomly to the MGV + MBSR or to usual PCP care alone. Participants will complete self-report surveys at baseline, following the 8-week program, and at 6- and 12-month follow-up. Health care utilization data will be obtained through electronic health records and via brief monthly surveys completed by participants. The primary outcome measure is the PEG (Pain, enjoyment, and general activity) at the 6-month follow-up. Additionally, we will assess psychological function, healthcare resource use, and opioid prescriptions. This trial, which is part of the NIH HEAL Initiative, has the potential to enhance primary care treatment of cLBP by combining PCP visits with a non-pharmacological treatment modeled on MBSR. Because it is offered online and integrated into primary care, it is expected to be scalable and accessible to underserved patients. Clinical Trials.gov: NCT04129450.

Disparities in Utilization of Ambulatory Cholecystectomy: Results From Three States.

BACKGROUND: Inpatient cholecystectomy is associated with higher cost and morbidity relative to ambulatory cholecystectomy, yet the latter may be underutilized by minority and underinsured patients. The purpose of this study was to examine the effects of race, income, and insurance status on receipt of and outcomes following ambulatory cholecystectomy. MATERIALS AND METHODS: Retrospective observational cohort study of patients 18-89 undergoing cholecystectomy for benign indications in Florida, Iowa, and New York, 2011-2014 using administrative databases. The primary outcome of interest was odds of having ambulatory cholecystectomy; secondary outcomes included intraoperative and postoperative complications, and 30-day unplanned admissions following ambulatory cholecystectomy. RESULTS: Among 321,335 cholecystectomies, 190,734 (59.4%) were ambulatory and 130,601 (40.6%) were inpatient. Adjusting for age, sex, insurance, income, residential location, and comorbidities, the odds of undergoing ambulatory versus inpatient cholecystectomy were significantly lower in black (aOR = 0.71, 95% CI [0.69, 0.73], P< 0.001) and Hispanic (aOR = 0.71, 95% CI [0.69, 0.72], P< 0.001) patients compared to white patients, and significantly lower in Medicare (aOR = 0.77, 95% CI [0.75, 0.80] P < 0.001), Medicaid (aOR = 0.56, 95% CI [0.54, 0.57], P< 0.001) and uninsured/self-pay (aOR = 0.28, 95% CI [0.27, 0.28], P< 0.001) patients relative to privately insured patients. Patients with Medicaid and those classified as self-pay/uninsured had higher odds of postoperative complications and unplanned admission as did patients with Medicare compared to privately insured individuals. CONCLUSIONS: Racial and ethnic minorities and the underinsured have a higher likelihood of receiving inpatient as compared to ambulatory cholecystectomy. The higher incidence of postoperative complications in these patients may be associated with unequal access to ambulatory surgery.