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Journal of Family Medicine and Primary... May 2024In the United States, access to evidence-based behavioral health treatment remains limited, contributing to inadequate treatment for individuals with depression and...
CONTEXT AND AIMS
In the United States, access to evidence-based behavioral health treatment remains limited, contributing to inadequate treatment for individuals with depression and anxiety disorders. The Collaborative care model (CoCM), the integration of behavioral healthcare into primary care, has been shown to be effective in addressing this issue, particularly when delivered virtually through telehealth platforms. While collaborative care has been shown to be effective, little has been studied to understand the impact of patient treatment factors on patient improvement. This study aims to analyze factors associated with patient improvement, measured by PHQ-9 and GAD-7 score changes, in patients with depression and anxiety disorders from Concert Health, a national behavioral medical group offering collaborative care across 18 states.
METHODS AND MATERIAL
Stepwise logistic regression models were utilized to identify factors influencing patient improvement in standardized symptom screener scores (PHQ-9 and GAD-7). Relevant patient-level data, including demographics, clinical engagement, insurance type, clinical touchpoints, and other variables, were analyzed. Results are presented as odds ratios (ORs).
RESULTS AND CONCLUSIONS
We find that increased clinical touchpoints were associated with improved outcomes in both depression (PHQ-9) and anxiety (GAD-7) populations. Commercial insurance was linked to a greater likelihood of improvement relative to Medicaid, and the use of C-SSRS suicide screeners had varied effects on patient outcomes depending on the diagnosis. The duration of time spent in appointments showed a nuanced impact, suggesting an optimal length for touchpoints. Psychiatric consults also impact patient outcomes in both populations. This study sheds light on factors influencing patient outcomes in virtual collaborative care for depression and anxiety disorders, which may be used to inform and motivate further research and allow providers to better optimize and understand the impacts of treatment choices in collaborative care settings.
PubMed: 38948587
DOI: 10.4103/jfmpc.jfmpc_1493_23 -
Drug and Alcohol Dependence Reports Jun 2024As the US opioid-involved morbidity and mortality increase, uptake and implementation of evidence-based interventions remain key policy responses. Respond to Prevent was...
Policies, adaptations, and ongoing challenges to naloxone, buprenorphine and nonprescription syringe access across four-states: Findings from an environmental scan and key informant interviews.
BACKGROUND
As the US opioid-involved morbidity and mortality increase, uptake and implementation of evidence-based interventions remain key policy responses. Respond to Prevent was a multi-component, randomized trial implemented in four states and two large pharmacy chains with the aim of improving the pharmacy's capacity to provide naloxone, dispense buprenorphine, and sell nonprescription syringes (NPS). We sought to provide context and assess how policies and organizational practices affect communities and pharmacies across the study states.
METHODS
Using a multi-method approach we: 1) conducted an environmental scan of published literature and online materials spanning January 2015 to June 2021, 2) created timelines of key events pertaining to those policies and practices and 3) conducted semi-structured interviews with stakeholders (key informants) at the state and local levels (N=36) to provide further context for the policies and practices we discovered.
RESULTS
Key informants discussed state policies, pharmacy policies and local practices that facilitated access to naloxone, buprenorphine and NPSs. Interviewees from all states spoke about the impact of naloxone standing orders, active partnerships with community-based harm reduction organizations, and some federal and state policies like Medicaid coverage for naloxone and buprenorphine, and buprenorphine telehealth permissions as key facilitators. They also discussed patient stigma, access in rural settings, and high cost of medications as barriers.
CONCLUSION
Findings underscore the important role harm reduction-related policies play in boosting and institutionalizing interventions in communities and pharmacies while also identifying structural barriers where more focused state and local attention is needed.
PubMed: 38948428
DOI: 10.1016/j.dadr.2024.100243 -
Screening for Unhealthy Alcohol Use Among Patients With Multiple Chronic Conditions in Primary Care.AJPM Focus Aug 2024Unhealthy alcohol use increases the risk for and exacerbation of chronic health conditions. As such, screening, prevention, and management of unhealthy alcohol use is...
INTRODUCTION
Unhealthy alcohol use increases the risk for and exacerbation of chronic health conditions. As such, screening, prevention, and management of unhealthy alcohol use is especially critical to improving health outcomes for patients with multiple chronic health conditions. It is unclear to what extent multiple chronic condition status is a barrier to screening for unhealthy alcohol use in the primary care setting. The authors hypothesized that patients with multiple chronic conditions would be at lower odds of being screened for unhealthy alcohol use than patients without multiple chronic conditions.
METHODS
The authors performed a secondary analysis of electronic health record data for patients from 67 primary care practices in Virginia (2020-2023). Using the Center for Medicare and Medicaid Services' chronic disease framework, they classified patients by multiple chronic condition status: no multiple chronic conditions, physical multiple chronic conditions, mental health multiple chronic conditions, and physical and mental health multiple chronic conditions. They used multiple logistic regressions with an added practice-level random effect to analyze the relationship between multiple chronic condition status and the odds of receiving an alcohol-related assessment, of being screened for unhealthy alcohol use with a U.S. Preventive Services Task Force-recommended instrument, and of screening positive for unhealthy alcohol use within the past 2 years.
RESULTS
Within a final cohort of =11,789, a total of 6,796 patients (58%) had multiple chronic conditions (29% physical multiple chronic conditions, 4% mental health multiple chronic conditions, and 25% physical and mental health multiple chronic conditions). In all, 69% of patients were screened for unhealthy alcohol use, whereas 16% were screened with a U.S. Preventive Services Task Force-recommended instrument, and 7% screened positive for unhealthy alcohol use. Patients with physical and mental health multiple chronic conditions had 0.9 times lower odds of receiving any screening for unhealthy alcohol use than those with no multiple chronic conditions (95% CI=0.8, 1.0; =0.0240), whereas patients with only physical multiple chronic conditions or only mental health multiple chronic conditions had similar odds. There was no difference in the odds of being screened with a U.S. Preventive Services Task Force-recommended instrument on the basis of multiple chronic condition status. Patients with mental health multiple chronic conditions and physical and mental health multiple chronic conditions had 1.8 and 1.5 times greater odds of screening positive for unhealthy alcohol use, respectively (95% CI=1.3, 2.7; =0.0014 and 95% CI=1.2, 1.8; =0.0003).
CONCLUSIONS
Although patients with chronic mental health conditions were more likely to screen positive for unhealthy alcohol use than patients without multiple chronic conditions, Virginia primary care patients with physical and mental health multiple chronic conditions were less likely to receive an alcohol-related assessment during the past 2 years. Given the overall modest rate of screening with a U.S. Preventive Services Task Force-recommended instrument, further efforts are needed to create the conditions for high-quality alcohol-related preventive service delivery in primary care, particularly for patients with high complexity and/or mental health conditions.
PubMed: 38947491
DOI: 10.1016/j.focus.2024.100233 -
Annals of Surgery Jul 2024To assess the association between the Global Budget Revenue (GBR) payment model and shifts to the outpatient setting for surgical procedures among Medicare...
OBJECTIVE
To assess the association between the Global Budget Revenue (GBR) payment model and shifts to the outpatient setting for surgical procedures among Medicare fee-for-service beneficiaries in Maryland versus control states.
SUMMARY BACKGROUND DATA
The GBR model provides fixed global payments to hospitals to reduce spending growth and incentivize hospitals to reduce the costs of care while improving care quality. Since surgical care is a major contributor to hospital spending, the GBR model might accelerate the ongoing shift from the inpatient to the outpatient setting to generate additional savings.
METHODS
A difference-in-differences (DiD) design was used to compare changes in surgical care settings over time from pre-GBR (2011-2013) to post-GBR (2014-2018) for Maryland versus control states for common surgeries that could be performed in the outpatient setting. A cross-sectional approach was used to compare the difference in care settings in 2018 for total knee arthroplasty which was on Medicare's Inpatient-Only List before then.
RESULTS
We studied 47,542 surgical procedures from 44,410 beneficiaries in Maryland and control states. GBR's 2014 implementation was associated with an acceleration in the shift from inpatient to outpatient settings for surgical procedures in Maryland (DiD: 3.9 percentage points, 95% CI: 2.3, 5.4). Among patients undergoing total knee arthroplasty in 2018, the proportion of outpatient surgeries in Maryland was substantially higher than that in control states (difference: 27.6 percentage points, 95% CI: 25.6, 29.6).
CONCLUSIONS
Implementing Maryland's GBR payment model was associated with an acceleration in the shift from inpatient to outpatient hospital settings for surgical procedures.
PubMed: 38946545
DOI: 10.1097/SLA.0000000000006427 -
Journal of Addictive Diseases Jun 2024The increasing rate of Hepatitis C virus (HCV) infection has been attributed to the substance use epidemic. There is limited data on the current rates of the paralleling...
BACKGROUND
The increasing rate of Hepatitis C virus (HCV) infection has been attributed to the substance use epidemic. There is limited data on the current rates of the paralleling HCV epidemic.
OBJECTIVES
To estimate the prevalence of maternal HCV infection in West Virginia (WV) and identify contributing factors.
METHODS
Population-based retrospective cohort study of all pregnant individual(s) who gave birth in WV between 01/01/2020 to 01/30/2024 ( = 69,925). Multiple log-binomial regression models were used to estimate the adjusted risk ratio (ARR) and the 95% confidence intervals (CI).
RESULTS
The rate of maternal HCV infection was 38 per 1,000 deliveries. The mean age of pregnant individual(s) with HCV was 29.99 (SD 4.95). The risk of HCV was significantly higher in White vs. minority racial groups [ARR 1.93 (1.50, 2.49)], those with less than [ARR 1.57 (1.37, 1.79)] or at least high school [ARR 1.31 (1.17, 1.47)] vs. more than high school education, those on Medicaid [ARR 2.32 (1.99, 2.71)] vs. private health insurance, those residing in small-metro [ARR 1.32 (1.17, 1.48)] and medium-metro [ARR 1.41 (1.24, 1.61)], vs. rural areas, and those who smoked [ARR 3.51 (3.10, 3.97)]. HCV risk was highest for those using opioids [ARR 4.43 (3.95, 4.96)]; followed by stimulant use [ARR = 1.79 (1.57, 2.04)].
CONCLUSIONS
Our findings highlight that maternal age, race, education, and type of health insurance are associated with maternal HCV infection. The magnitude of association was highest for pregnant individual(s) who smoked and used opioids and stimulants during pregnancy in WV.
PubMed: 38946107
DOI: 10.1080/10550887.2024.2372484 -
Injury Jun 2024Racial and ethnic disparities in orthopaedic surgery are well documented. However, the extent to which these persist in fracture care is unknown. This study sought to...
INTRODUCTION
Racial and ethnic disparities in orthopaedic surgery are well documented. However, the extent to which these persist in fracture care is unknown. This study sought to assess racial disparities in the postoperative surgical and medical management of patients after diaphyseal tibia fracture fixation.
METHODS
Patients with surgically treated tibial shaft fractures from October 1, 2015, to December 31, 2020, were identified in the MarketScan® Medicaid Database. Exclusion criteria included concurrent fractures or amputation. Outcomes included 2-year postoperative complications, reoperation rates, and filled prescriptions. Surgically-treated Black and White cohorts were propensity-score matched using nearest-neighbor matching on patient demographics, comorbidities, fracture pattern and severity, and fixation type. Chi-square tests and survival analyses (Kaplan-Meier and Cox proportional hazard models) were conducted.
RESULTS
5,472 patients were included, 2,209 Black and 3,263 White patients. After matching, 2,209 were retained in each cohort. No significant differences in complication rates were observed in the matched Black vs White cohorts. Rates of reoperation, however, were significantly lower in Black as compared to White patients (28.5 % vs. 35.5 % rate, risk difference = 7.0 % (95 % confidence interval (CI): 4.2 % to 9.7 %)). Implant removal was also significantly lower in Black (17.9 %) vs. White (25.1 %) patients (Risk difference = 7.2 %, (95 %CI: 4.8 % to 9.6 %)). The adjusted hazard ratio comparing the reoperation rate in Black versus White patients was 0.77 (95 %CI: 0.69-0.82, p < 0.0001). Significantly lower proportions of Black vs White patients filled at least one prescription for benzodiazepine, antidepressants, strong opiates, or antibiotics at every time point post-index.
DISCUSSION
Fewer resources were used in post-operative management after surgical treatment of tibial shaft fractures for Black versus White Medicaid-insured patients. These results may be reflective of the undertreatment of complications after tibia fracture surgery for Black patients and highlight the need for further interventions to address racial disparities in trauma care.
PubMed: 38945078
DOI: 10.1016/j.injury.2024.111696 -
Journal of Health Economics Jun 2024Health plans for the poor increasingly limit access to specialty hospitals. We investigate the role of adverse selection in generating this equilibrium among private...
Health plans for the poor increasingly limit access to specialty hospitals. We investigate the role of adverse selection in generating this equilibrium among private plans in Medicaid. Studying a network change, we find that covering a top cancer hospital causes severe adverse selection, increasing demand for a plan by 50% among enrollees with cancer versus no impact for others. Medicaid's fixed insurer payments make offsetting this selection, and the contract distortions it induces, challenging, requiring either infeasibly high payment rates or near-perfect risk adjustment. By contrast, a small explicit bonus for covering the hospital is sufficient to make coverage profitable.
PubMed: 38944945
DOI: 10.1016/j.jhealeco.2024.102901 -
JAMA Health Forum Jun 2024Households have high burden of health care payments. Alternative financing approaches could reduce this burden for some households.
IMPORTANCE
Households have high burden of health care payments. Alternative financing approaches could reduce this burden for some households.
OBJECTIVE
To estimate the distribution of household health care payments across income under health care reform policies.
DESIGN, SETTING, AND PARTICIPANTS
Cross-sectional study with microsimulation used nationally representative data of the US population in 2030. Civilian, noninstitutionalized population from the 2022 Current Population Survey linked to expenditures from the 2018 and 2019 Medical Expenditure Panel Survey and 2022 National Health Expenditure Accounts were included.
EXPOSURE
Rate regulation of hospital, physician, and other health care professional payments equal to the all-payer mean in the status quo, spending growth target at 4% annual per capita growth, and single-payer health care financed through taxes.
MAIN OUTCOMES AND MEASURES
Household health care payments (out-of-pocket expenses, premiums, and taxes) as a share of compensation.
RESULTS
The synthetic population contained 154 456 records representing 339.5 million individuals, with 51% female, 7% Asian, 14% Black, 18% Hispanic White, 56% non-Hispanic White, and 5% other races and ethnicities (American Indian or Alaskan Native only; Native Hawaiian or other Pacific Islander only; and 2 or more races). In the status quo, mean household health care payments as a share of compensation was 24% to 27% (standard error [SE], 0.2%-1.2%) across income groups (median [IQR] 22% [4%-52%] below 139% of the federal poverty level [FPL]; 21% [4%-34%] for households above 1000% FPL [11% of the population]). Under rate setting, mean (SE) payments by households above 1000% FPL increased to 29% (0.6%) (median [IQR], 22% [6%-35%]) and decreased to 23% to 25% for other income groups. Under the spending growth target, mean (SE) payments decreased from 23% to 26% (SE, 0.2%-1.2%) across income groups. Under the single-payer system, mean (SE) payments declined to 15% (0.7%) (median [IQR], 4% [0%-30%]) for those below 139% FPL and increased to 31% (0.6%) (median [IQR], 23% [3%-39%]) for those above 1000% FPL. Uninsurance fell from 9% to 6% under rate setting due to improved Medicaid access, and to zero under the single-payer system.
CONCLUSIONS AND RELEVANCE
Single-payer financing based on the current federal income tax schedule and a payroll tax could substantially increase progressivity of household payments by income. Rate setting led to slight increases in payments by higher-income households, who financed higher payment rates in Medicare and Medicaid. Spending growth targets reduced payments slightly for all households.
Topics: Humans; Cross-Sectional Studies; Health Expenditures; Female; United States; Male; Adult; Middle Aged; Family Characteristics; Single-Payer System; Financing, Personal; Health Care Reform; Income; Aged
PubMed: 38944764
DOI: 10.1001/jamahealthforum.2024.1932 -
JAMA Health Forum Jun 2024The Centers for Medicare & Medicaid Services' mandatory End-Stage Renal Disease Treatment Choices (ETC) model, launched on January 1, 2021, randomly assigned...
IMPORTANCE
The Centers for Medicare & Medicaid Services' mandatory End-Stage Renal Disease Treatment Choices (ETC) model, launched on January 1, 2021, randomly assigned approximately 30% of US dialysis facilities and managing clinicians to financial incentives to increase the use of home dialysis and kidney transplant.
OBJECTIVE
To assess the ETC's association with use of home dialysis and kidney transplant during the model's first 2 years and examine changes in these outcomes by race, ethnicity, and socioeconomic status.
DESIGN, SETTING, AND PARTICIPANTS
This retrospective cross-sectional study used claims and enrollment data for traditional Medicare beneficiaries with kidney failure from 2017 to 2022 linked to same-period transplant data from the United Network for Organ Sharing. The study data span 4 years (2017-2020) before the implementation of the ETC model on January 1, 2021, and 2 years (2021-2022) following the model's implementation.
EXPOSURE
Receiving dialysis treatment in a region randomly assigned to the ETC model.
MAIN OUTCOMES AND MEASURES
Primary outcomes were use of home dialysis and kidney transplant. A difference-in-differences (DiD) approach was used to estimate changes in outcomes among patients treated in regions randomly selected for ETC participation compared with concurrent changes among patients treated in control regions.
RESULTS
The study population included 724 406 persons with kidney failure (mean [IQR] age, 62.2 [53-72] years; 42.5% female). The proportion of patients receiving home dialysis increased from 12.1% to 14.3% in ETC regions and from 12.9% to 15.1% in control regions, yielding an adjusted DiD estimate of -0.2 percentage points (pp; 95% CI, -0.7 to 0.3 pp). Similar analysis for transplant yielded an adjusted DiD estimate of 0.02 pp (95% CI, -0.01 to 0.04 pp). When further stratified by sociodemographic measures, including age, sex, race and ethnicity, dual Medicare and Medicaid enrollment, and poverty quartile, there was not a statistically significant difference in home dialysis use across joint strata of characteristics and ETC participation.
CONCLUSIONS AND RELEVANCE
In this cross-sectional study, the first 2 years of the ETC model were not associated with increased use of home dialysis or kidney transplant, nor changes in racial, ethnic, and socioeconomic disparities in these outcomes.
Topics: Humans; Kidney Transplantation; Female; Male; Cross-Sectional Studies; Hemodialysis, Home; United States; Reimbursement, Incentive; Retrospective Studies; Kidney Failure, Chronic; Aged; Middle Aged; Medicare
PubMed: 38944762
DOI: 10.1001/jamahealthforum.2024.2055 -
The Journal of Pediatrics Jun 2024To assess recent temporal trends in guideline-compliant pediatric lipid testing, and to examine the influence of social determinants of health (SDoH) and provider...
OBJECTIVES
To assess recent temporal trends in guideline-compliant pediatric lipid testing, and to examine the influence of social determinants of health (SDoH) and provider characteristics on the likelihood of testing in youth.
STUDY DESIGN
In this observational, multi-year cross-sectional study, we calculated lipid testing prevalence by year among 268,627 12-year-olds from 2015 through 2019 who were enrolled in Florida Medicaid and eligible for universal lipid screening during age 9 to 11, and 11,437 22-year-olds (2017-2019) who were eligible for screening during age 17-21. We compared trends in testing prevalence by SDoH and health risk factors at two recommended ages and modeled the associations between patient characteristics and provider type on lipid testing using generalized estimating equations.
RESULTS
Testing among 12-year-olds remained low between 2015 through 2019 with the highest prevalence in 2015 (8.0%) and lowest in 2017 (6.7%). Screening compliance among 22-year-olds was highest in 2017 (21.1%) and fell to 17.8% in 2019. Hispanics and non-Hispanic Blacks in both age groups had about 2-3% lower testing prevalence than non-Hispanic Whites. Testing in 12-year-olds was 12.3% versus 7.7% with and without obesity, and 14.4% versus 7.6% with and without antipsychotic use. Participants who saw providers who were more likely to prescribe lipid testing were more likely to receive testing (odds ratio=2.3, 95% CI 2.0-2.8, P<.001).
CONCLUSIONS
Although lipid testing prevalence was greatest among high-risk children, overall prevalence of lipid testing in youth remains very low. Provider specialty and choices by individual providers play important roles in improving guideline-compliant pediatric lipid testing.
PubMed: 38944189
DOI: 10.1016/j.jpeds.2024.114170