Resource Use Among Diabetes Patients Who Mainly Visit Primary Care Physicians Versus Medical Specialists: a Retrospective Cohort Study.

BACKGROUND: It is not uncommon for medical specialists to predominantly care for patients with certain chronic conditions rather than primary care physicians (PCPs), yet the resource implications from such patterns of care are not well understood. OBJECTIVE: To assess resource use of diabetes patients who predominantly visit a PCP versus a medical specialist. DESIGN: Retrospective cohort study of diabetes patients aging into the traditional Medicare program. Patients were attributed to a PCP or medical specialist annually based on a preponderance of ambulatory care visits and categorized according to whether attribution changed year to year. Propensity score weighting was used to balance baseline demographic characteristics, diabetes complications, and underlying health conditions between patients attributed to PCPs and to medical specialists. Spending and utilization were measured up to 3 patient-years. SUBJECTS: A total of 141,558 patient-years. MAIN MEASURES: Total visits, unique physicians, hospital admissions, emergency department visits, procedures, imaging, and tests. KEY RESULTS: Each year, roughly 70% of patients maintained attribution to a PCP and 15% to a medical specialist relative to the previous year. After propensity weighting, patients continuously attributed to a PCP versus medical specialist from 1 year to the next had lower average total payer payments ($10,326 [SD $57,386] versus $14,971 [SD $74,112], P<0.0001) and lower total patient out-of-pocket payments ($1,707 [SD $6,020] versus $2,443 [SD $7,984], P<0.0001). Rates of hospitalization, emergency department visits, procedures, imaging, and tests were lower among patients attributed to PCPs as well. CONCLUSIONS: Older adults with diabetes who receive more of their ambulatory care from a PCP instead of a medical specialist show evidence of lower resource use.

Using a cohort study of diabetes and peripheral artery disease to compare logistic regression and machine learning via random forest modeling.

BACKGROUND: This study illustrates the use of logistic regression and machine learning methods, specifically random forest models, in health services research by analyzing outcomes for a cohort of patients with concomitant peripheral artery disease and diabetes mellitus. METHODS: Cohort study using fee-for-service Medicare beneficiaries in 2015 who were newly diagnosed with peripheral artery disease and diabetes mellitus. Exposure variables include whether patients received preventive measures in the 6 months following their index date: HbA1c test, foot exam, or vascular imaging study. Outcomes include any reintervention, lower extremity amputation, and death. We fit both logistic regression models as well as random forest models. RESULTS: There were 88,898 fee-for-service Medicare beneficiaries diagnosed with peripheral artery disease and diabetes mellitus in our cohort. The rate of preventative treatments in the first six months following diagnosis were 52% (n = 45,971) with foot exams, 43% (n = 38,393) had vascular imaging, and 50% (n = 44,181) had an HbA1c test. The directionality of the influence for all covariates considered matched those results found with the random forest and logistic regression models. The most predictive covariate in each approach differs as determined by the t-statistics from logistic regression and variable importance (VI) in the random forest model. For amputation we see age 85 + (t = 53.17) urban-residing (VI = 83.42), and for death (t = 65.84, VI = 88.76) and reintervention (t = 34.40, VI = 81.22) both models indicate age is most predictive. CONCLUSIONS: The use of random forest models to analyze data and provide predictions for patients holds great potential in identifying modifiable patient-level and health-system factors and cohorts for increased surveillance and intervention to improve outcomes for patients. Random forests are incredibly high performing models with difficult interpretation most ideally suited for times when accurate prediction is most desirable and can be used in tandem with more common approaches to provide a more thorough analysis of observational data.

Association Between Beta-Blockers and Mortality and Readmission in Older Patients with Heart Failure: an Instrumental Variable Analysis.

BACKGROUND: The demographics of heart failure are changing. The rate of growth of the "older" heart failure population, specifically those ≥ 75, has outpaced that of any other age group. These older patients were underrepresented in the early beta-blocker trials. There are several reasons, including a decreased potential for mortality benefit and increased risk of side effects, why the risk/benefit tradeoff may be different in this population. OBJECTIVE: We aimed to determine the association between receipt of a beta-blocker after heart failure discharge and early mortality and readmission rates among patients with heart failure and reduced ejection fraction (HFrEF), specifically patients aged 75+. DESIGN AND PARTICIPANTS: We used 100% Medicare Parts A and B and a random 40% sample of Part D to create a cohort of beneficiaries with ≥ 1 hospitalization for HFrEF between 2008 and 2016 to run an instrumental variable analysis. MAIN MEASURE: The primary measure was 90-day, all-cause mortality; the secondary measure was 90-day, all-cause readmission. KEY RESULTS: Using the two-stage least squared methodology, among all HFrEF patients, receipt of a beta-blocker within 30-day of discharge was associated with a - 4.35% (95% CI - 6.27 to - 2.42%, p < 0.001) decrease in 90-day mortality and a - 4.66% (95% CI - 7.40 to - 1.91%, p = 0.001) decrease in 90-day readmission rates. Even among patients ≥ 75 years old, receipt of a beta-blocker at discharge was also associated with a significant decrease in 90-day mortality, - 4.78% (95% CI - 7.19 to - 2.40%, p < 0.001) and 90-day readmissions, - 4.67% (95% CI - 7.89 to - 1.45%, p < 0.001). CONCLUSION: Patients aged ≥ 75 years who receive a beta-blocker after HFrEF hospitalization have significantly lower 90-day mortality and readmission rates. The magnitude of benefit does not appear to wane with age. Absent a strong contraindication, all patients with HFrEF should attempt beta-blocker therapy at/after hospital discharge, regardless of age.

The natural history of urinary incontinence subtypes in the Nurses' Health Studies.

BACKGROUND: Urinary incontinence subtypes often differ by symptom severity and treatment profiles; in particular, mixed urinary incontinence is generally associated with worse symptoms and less successful treatment. Yet, limited information exists on the natural history of different urinary incontinence subtypes, which could help to better identify and treat patients prior to development of more intractable disease. OBJECTIVE: To evaluate the onset of urinary incontinence subtypes, and transitions between subtypes over 8 years, using 2 large cohorts of middle-aged and older women with incident urinary incontinence. MATERIALS AND METHODS: We identified 10,349 women with incident urinary incontinence (stress, urgency, and mixed subtypes) from the Nurses' Health Study and the Nurses' Health Study II who were 41-83 years of age, using repeated mailed questionnaires. We defined stress urinary incontinence as leakage with coughing, sneezing, or activity; urgency urinary incontinence as urine loss with a sudden feeling of bladder fullness or when a toilet was inaccessible; and mixed urinary incontinence when women reported that stress and urgency symptoms occurred equally. In subsequent questionnaires 4 and 8 years later, we continued to track symptom severity and subtypes. In addition, to obtain predicted probabilities of urinary incontinence subtypes 4 years and 8 years after urinary incontinence onset, we used multivariable-adjusted generalized estimating equations with a multinomial outcome. RESULTS: At urinary incontinence onset in 2004-2005, 56% of women reported stress urinary incontinence symptoms, 23% reported urgency urinary incontinence symptoms, and 21% reported mixed urinary incontinence symptoms. Women with stress urinary incontinence or urgency urinary incontinence at onset were likely to report the same urinary incontinence type 4 and 8 years later (stress urinary incontinence at onset: 70% and 60% reported stress urinary incontinence at years 4 and 8, respectively; urgency urinary incontinence at onset: 68% and 64% reported urgency urinary incontinence at years 4 and 8, respectively). Nonetheless, for both stress and urgency urinary incontinence, women with more severe symptoms at onset were more likely to progress to mixed urinary incontinence. Women with mixed urinary incontinence at onset had more variation over time, although the largest subset continued to report mixed urinary incontinence (45% reported mixed urinary incontinence at year 4; 43% reported mixed urinary incontinence at year 8). Few women across all urinary incontinence subtypes reported resolution of symptoms over 4-8 years of follow-up (4-12%). When considering the likelihood of remaining with or progressing to mixed urinary incontinence over follow-up, according to age, body mass index, and urinary incontinence severity, we found that older and younger women had similar predicted probability of remaining with or progressing to mixed urinary incontinence (eg, women <60 years of age at onset with severe mixed urinary incontinence had a 54% (95% confidence interval, 53-55) probability of mixed urinary incontinence 8 years later, vs 57% (95% confidence interval, 56-58) of women ≥70 years of age with severe mixed urinary incontinence at onset). Obese women were somewhat more likely to progress to mixed urinary incontinence regardless of urinary incontinence type at onset (eg, women with body mass index <25 kg/m2 at onset with severe stress urinary incontinence had a 30% predicted probability of mixed urinary incontinence 8 years after onset, vs 36% of women with body mass index of 30+ kg/m2 at onset with severe stress urinary incontinence). CONCLUSION: Most women with incident stress and urgency urinary incontinence continued to experience similar subtype symptoms over 8 years. However, obese women and those with more severe symptoms were more likely to remain with or progress to mixed urinary incontinence.

Modeling peer effect modification by network strength: The diffusion of implantable cardioverter defibrillators in the US hospital network.

We develop methodology that allows peer effects (also referred to as social influence and contagion) to be modified by the structural importance of the focal actor's position in the network. The methodology is first developed for a single peer effect and then extended to simultaneously model multiple peer-effects and their modifications by the structural importance of the focal actor. This work is motivated by the diffusion of implantable cardioverter defibrillators (ICDs) in patients with congestive heart failure across a cardiovascular disease patient-sharing network of United States hospitals. We apply the general methodology to estimate peer effects for the adoption of capability to implant ICDs, the number of ICD implants performed by hospitals that are capable, and the number of patients referred to other hospitals by noncapable hospitals. Applying our novel methodology to study ICD diffusion across hospitals, we find evidence that exposure to ICD-capable peer hospitals is strongly associated with the chance a hospital becomes ICD-capable and that the direction and magnitude of the association is extensively modified by the strength of that hospital's position in the network, even after controlling for effects of geography. Therefore, interhospital networks, rather than geography per se, may explain key patterns of regional variations in healthcare utilization.

Comparison of treatment of early-stage breast cancer among Nurses' Health Study participants and other Medicare beneficiaries.

PURPOSE: Increasingly epidemiological cohorts are being linked to claims data to provide rich data for healthcare research. These cohorts tend to be different than the general United States (US) population. We will analyze healthcare utilization of Nurses' Health Study (NHS) participants to determine if studies of newly diagnosed incident early-stage breast cancer can be generalized to the broader US Medicare population. METHODS: Analytic cohorts of fee-for-service NHS-Medicare-linked participants and a 1:13 propensity-matched SEER-Medicare cohort (SEER) with incident breast cancer in the years 2007-2011 were considered. Screening leading to, treatment-related, and general utilization in the year following early-stage breast cancer diagnosis were determined using Medicare claims data. RESULTS: After propensity matching, NHS and SEER were statistically balanced on all demographics. NHS and SEER had statistically similar rates of treatments including chemotherapy, breast-conserving surgery, mastectomy, and overall radiation use. Rates of general utilization include those related to hospitalizations, total visits, and emergency department visits were also balanced between the two groups. Total spending in the year following diagnosis were statistically equivalent for NHS and SEER ($36,180 vs. $35,399, p = 0.70). CONCLUSIONS: NHS and the general female population had comparable treatment and utilization patterns following diagnosis of early-stage incident breast cancers with the exception of type of radiation therapy received. This study provides support for the larger value of population-based cohorts in research on healthcare costs and utilization in breast cancer.

Developing and Validating a Measure to Estimate Poverty in Medicare Administrative Data.

OBJECTIVE: To develop and validate a measure that estimates individual level poverty in Medicare administrative data that can be used in studies of Medicare claims. DATA SOURCES: A 2008 to 2013 Medicare Current Beneficiary Survey linked to 2008 to 2013 Medicare fee-for-service beneficiary summary file and census data. STUDY DESIGN AND METHODS: We used the Medicare Current Beneficiary Survey to define individual level poverty status and linked to Medicare administrative data (N=38,053). We partitioned data into a measure derivation dataset and a validation dataset. In the derivation data, we used a logistic model to regress poverty status on measures of dual eligible status, part D low-income subsidy, and demographic and administrative data, and modeled with and without linked census and nursing home data. Each beneficiary receives a predicted poverty score from the model. Performance was evaluated in derivation and validation data and compared with other measures used in the literature. We present a measure for income-only poverty as well as one for income and asset poverty. PRINCIPAL FINDINGS: A score (predicted probability of income poverty) >0.5 yielded 58% sensitivity, 94% specificity, and 84% positive predictive value in the derivation data; our score yielded very similar results in the validation data. The model's c-statistic was 0.84. Our poverty score performed better than Medicaid enrollment, high zip code poverty, and zip code median income. The income and asset version performed similarly well. CONCLUSIONS: A poverty score can be calculated using Medicare administrative data for use as a continuous or binary measure. This measure can improve researchers' ability to identify poverty in Medicare administrative data.

Assessing Variation in Implantable Cardioverter Defibrillator Therapy Guideline Adherence With Physician and Hospital Patient-sharing Networks.

BACKGROUND: Implantable cardioverter defibrillator (ICD) therapy is used for primary prevention of death among people with heart failure, and new evidence in 2005 on its effectiveness changed practice guidelines in the United States. OBJECTIVES: The objective of this study is to examine how the connectedness of physicians and hospitals, measured using network analysis, relates to guideline-consistent ICD implantation. RESEARCH DESIGN: We constructed physician and hospital networks for cardiovascular disease. Physicians were linked if they shared cardiovascular disease patients; these links were aggregated by hospital affiliation to construct a hospital network. SUBJECTS: Medicare beneficiaries who underwent ICD therapy for primary prevention from 2007 to 2011. MEASURES: The clinical outcome of interest was guideline-consistent ICD implantation, calculated using the National Cardiovascular Data Registry. The exposure variables of interest were the network measures of the ICD surgeon, the referring hospital, and the hospital where the ICD surgery occurred. RESULTS: We focused on patients who were referred between hospitals for ICD implantation because they were more likely influenced by the hospital network (n=28,179). Patients were less likely to meet guidelines if their referring hospital had more connections to other hospitals (OR, 0.49; 95% confidence interval, 0.25-0.96) and more likely to meet guidelines if their ICD surgery hospital had more connections (OR, 1.61; 95% confidence interval, 0.98-2.64). The ICD surgeon's network measures were not associated with guideline-consistent implantation. CONCLUSIONS: Associations between the hospital network measures and guideline adherence suggests new approaches to better disseminate clinical guidelines across health systems.

Leveraging Linkage of Cohort Studies With Administrative Claims Data to Identify Individuals With Cancer.

BACKGROUND: In an effort to overcome quality and cost constraints inherent in population-based research, diverse data sources are increasingly being combined. In this paper, we describe the performance of a Medicare claims-based incident cancer identification algorithm in comparison with observational cohort data from the Nurses' Health Study (NHS). METHODS: NHS-Medicare linked participants' claims data were analyzed using 4 versions of a cancer identification algorithm across 3 cancer sites (breast, colorectal, and lung). The algorithms evaluated included an update of the original Setoguchi algorithm, and 3 other versions that differed in the data used for prevalent cancer exclusions. RESULTS: The algorithm that yielded the highest positive predictive value (PPV) (0.52-0.82) and κ statistic (0.62-0.87) in identifying incident cancer cases utilized both Medicare claims and observational cohort data (NHS) to remove prevalent cases. The algorithm that only used NHS data to inform the removal of prevalent cancer cases performed nearly equivalently in statistical performance (PPV, 0.50-0.79; κ, 0.61-0.85), whereas the version that used only claims to inform the removal of prevalent cancer cases performed substantially worse (PPV, 0.42-0.60; κ, 0.54-0.70), in comparison with the dual data source-informed algorithm. CONCLUSIONS: Our findings suggest claims-based algorithms identify incident cancer with variable reliability when measured against an observational cohort study reference standard. Self-reported baseline information available in cohort studies is more effective in removing prevalent cancer cases than are claims data algorithms. Use of claims-based algorithms should be tailored to the research question at hand and the nature of available observational cohort data.

Executive function, episodic memory, and Medicare expenditures.

INTRODUCTION: We examined the relationship between health care expenditures and cognition, focusing on differences across cognitive systems defined by global cognition, executive function, or episodic memory. METHODS: We used linear regression models to compare annual health expenditures by cognitive status in 8125 Nurses' Health Study participants who completed a cognitive battery and were enrolled in Medicare parts A and B. RESULTS: Adjusting for demographics and comorbidity, executive impairment was associated with higher total annual expenditures of $1488 per person (P < .01) compared with those without impairment. No association for episodic memory impairment was found. Expenditures exhibited a linear relationship with executive function, but not episodic memory ($584 higher for every 1 standard deviation decrement in executive function; P < .01). DISCUSSION: Impairment in executive function is specifically and linearly associated with higher health care expenditures. Focusing on management strategies that address early losses in executive function may be effective in reducing costly services.

A Regional Analysis of Low Back Pain Treatments in the Military Health System.

STUDY DESIGN: Claims-based analysis of cohorts of TRICARE Prime beneficiaries. OBJECTIVE: To compare rates of utilization of 5 low back pain (LBP) treatments (physical therapy (PT), manual therapy, behavioral therapies, opioid, and benzodiazepine prescription) across catchment areas and assess their association with the resolution of LBP. SUMMARY OF BACKGROUND: Guidelines support focusing on nonpharmacologic management for LBP and reducing opioid use. Little is known about patterns of care for LBP across the Military Health System. PATIENTS AND METHODS: Incident LBP diagnoses were identified data using the International Classification of Diseases ninth revision before October 2015 and 10th revision after October 2015; beneficiaries with "red flag" diagnoses and those stationed overseas, eligible for Medicare, or having other health insurance were excluded. After exclusions, there were 159,027 patients remained in the final analytic cohort across 73 catchment areas. Treatment was defined by catchment-level rates of treatment to avoid confounding by indication at the individual level; the primary outcome was the resolution of LBP defined as an absence of administrative claims for LBP during a 6 to 12-month period after the index diagnosis. RESULTS: Adjusted rates of opioid prescribing across catchment areas ranged from 15% to 28%, physical therapy from 17% to 39%, and manual therapy from 5% to 26%. Multivariate logistic regression models showed a negative and marginally significant association between opioid prescriptions and LBP resolution (odds ratio: 0.97, 95% CI: 0.93-1.00; P = 0.051) but no significant association with physical therapy, manual therapy, benzodiazepine prescription, or behavioral therapies. When the analysis was restricted to the subset of only active-duty beneficiaries, there was a stronger negative association between opioid prescription and LBP resolution (odds ratio: 0.93, 95% CI: 0.89-0.97). CONCLUSIONS: We found substantial variability across catchment areas within TRICARE for the treatment of LBP. Higher rates of opioid prescription were associated with worse outcomes.

Rural-urban disparities in health care delivery for children with medical complexity and moderating effects of payer, disability, and community poverty.

PURPOSE: Children with medical complexity (CMC) may be at increased risk of rural-urban disparities in health care delivery given their multifaceted health care needs, but these disparities are poorly understood. This study evaluated rural-urban disparities in health care delivery to CMC and determined whether Medicaid coverage, co-occurring disability, and community poverty modified the effects of rurality on care delivery. METHODS: This retrospective cohort study of 2012-2017 all-payer claims data from Colorado, Massachusetts, and New Hampshire included CMC <18 years. Health care delivery measures (ambulatory clinic visits, emergency department visits, acute care hospitalizations, total hospital days, and receipt of post-acute care) were compared for rural- versus urban-residing CMC in multivariable regression models, following established methods to evaluate effect modification. FINDINGS: Of 112,475 CMC, 7307 (6.5%) were rural residing and 105,168 (93.5%) were urban residing. A total of 68.9% had Medicaid coverage, 33.9% had a disability, and 39.7% lived in communities with >20% child poverty. In adjusted analyses, rural-residing CMC received significantly fewer ambulatory visits (risk ratio [RR] = 0.95, 95% confidence interval [CI]: 0.94-0.96), more emergency visits (RR = 1.12, 95% CI: 1.08-1.16), and fewer hospitalization days (RR = 0.90, 95% CI = 0.85-0.96). The estimated modification effects of rural residence by Medicaid coverage, disability, and community poverty were each statistically significant. Differences in the odds of having a hospitalization and receiving post-acute care did not persist after incorporating sociodemographic and clinical characteristics and interaction effects. CONCLUSIONS: Rural- and urban-residing CMC differed in their receipt of health care, and Medicaid coverage, co-occurring disabilities, and community poverty modified several of these effects. These modifying effects should be considered in clinical and policy initiatives to ensure that such initiatives do not widen rural-urban disparities.

Neurodevelopmental and Mental Health Conditions in Children With Medical Complexity.

BACKGROUND AND OBJECTIVES: Children with medical complexity (CMC) may be at a high risk of neurodevelopmental and mental health conditions given disease comorbidities and lived experiences. Little is known about the prevalence of these conditions at a population level. In this study, we estimated the prevalence of neurodevelopmental and mental health diagnoses in CMC relative to children without medical complexity and measured associations between these diagnoses in CMC and subsequent health care utilization and in-hospital mortality. METHODS: We applied the Child and Adolescent Mental Health Disorders Classification System to identify neurodevelopmental and mental health diagnoses using all-payer claims data from three states (2012-2017). Poisson regression was used to compare outcomes in CMC with neurodevelopmental and mental health diagnoses to CMC without these diagnoses, adjusting for sociodemographic and clinical characteristics. RESULTS: Among 85 581 CMC, 39 065 (45.6%) had ≥1 neurodevelopmental diagnoses, and 31 703 (37.0%) had ≥1 mental health diagnoses, reflecting adjusted relative risks of 3.46 (3.42-3.50) for neurodevelopmental diagnoses and 2.22 (2.19-2.24) for mental health diagnoses compared with children without medical complexity. CMC with both neurodevelopmental and mental health diagnoses had 3.00 (95% confidence interval [CI]: 2.98-3.01) times the number of ambulatory visits, 69% more emergency department visits (rate ratio = 1.69, 95% CI: 1.66-1.72), 58% greater risk of hospitalization (rate ratio = 1.58, 95% CI: 1.50-1.67), and 2.32 times (95% CI: 2.28-2.36) the number of hospital days than CMC without these diagnoses. CONCLUSIONS: Neurodevelopmental and mental health diagnoses are prevalent among CMC and associated with increased health care utilization across the continuum of care. These findings illustrate the importance of recognizing and treating neurodevelopmental and mental health conditions in this population.

Specialties Providing Ambulatory Care and Associated Health Care Utilization and Quality for Children With Medical Complexity.

OBJECTIVE: Although children with medical complexity (CMC) have substantial health care needs, the extent to which they receive ambulatory care from primary care versus specialist clinicians is unknown. We aimed to determine the predominant specialty providing ambulatory care to CMC (primary care or specialty discipline), the extent to which specialists deliver well-child care, and associations between having a specialty predominant provider and health care utilization and quality. METHODS: In a retrospective cohort analysis of 2012-17 all-payer claims data from Colorado, New Hampshire, and Massachusetts, we identified the predominant specialty providing ambulatory care for CMC <18 years. Propensity score weighting was used to create a balanced sample of CMC and assess differences in outcomes, including adequate well-child care, continuity of care, emergency visits, and hospitalizations, between CMC with a primary care versus specialty predominant provider. RESULTS: Among 67,218 CMC, 75.3% (n = 50,584) received the plurality of care from a primary care discipline. Body system involvement, age > 2 years, urban residence, and cooccurring disabilities were associated with predominantly receiving care from specialists. After propensity score weighting, there were no significant differences between CMC with a primary care or specialist "predominant specialty seen" (PSS) in ambulatory visit counts, adequate well-child care, hospitalizations, or overall continuity of care. Specialists were the sole providers of well-child care and vaccines for 49.9% and 53.1% of CMC with a specialist PSS. CONCLUSIONS: Most CMC received the plurality of care from primary care disciplines, and there were no substantial differences in overall utilization or quality based on the PSS.

Association Between Opening a Palliative Care Unit and Hospital Care for Patients With Serious Illness.

Background: Palliative care units (PCUs) are devoted to intensive management of symptoms and other palliative care needs. We examined the association between opening a PCU and acute care processes at a single U.S. academic medical center. Methods: We retrospectively compared acute care processes for seriously ill patients admitted before and after the opening of a PCU at a single academic medical center. Outcomes included rates of change in code status to do-not-resuscitate (DNR) and comfort measures only (CMO) status, and time to DNR and CMO. We calculated unadjusted and adjusted rates and used logistic regression to assess interaction between care period and palliative care consultation. Results: There were 16,611 patients in the pre-PCU period and 18,305 patients in the post-PCU period. The post-PCU cohort was slightly older, with a higher Charlson index (p < 0.001 for both). Post-PCU, unadjusted rates of DNR and CMO increased from 16.4% to 18.3% (p < 0.001) and 9.3% to 11.5% (p < 0.001), respectively. Post-PCU, median time to DNR was unchanged (0 days), and time to CMO decreased from 6 to 5 days. The adjusted odds ratio was 1.08 (p = 0.01) for DNR and 1.19 (p < 0.001) for CMO. Significant interaction between care period and palliative care consultation for DNR (p = 0.04) and CMO (p = 0.01) suggests an important role for palliative care engagement. Conclusions: The opening of a PCU at a single center was associated with increased rates of DNR and CMO status for seriously ill patients.

Trends of Concomitant Diabetes and Peripheral Artery Disease and Lower Extremity Amputation in US Medicare Patients, 2007 to 2019.

BACKGROUND: Previous studies demonstrate geographic and racial/ethnic variation in diagnosis and complications of diabetes and peripheral artery disease (PAD). However, recent trends for patients diagnosed with both PAD and diabetes are lacking. We assessed the period prevalence of concurrent diabetes and PAD across the United States from 2007 to 2019 and regional and racial/ethnic variation in amputations among Medicare patients. METHODS: Using Medicare claims from 2007 to 2019, we identified patients with both diabetes and PAD. We calculated period prevalence of concomitant diabetes and PAD and incident cases of diabetes and PAD for every year. Patients were followed to identify amputations, and results were stratified by race/ethnicity and hospital referral region. RESULTS: 9 410 785 patients with diabetes and PAD were identified (mean age, 72.8 [SD, 10.94] years; 58.6% women, 74.7% White, 13.2% Black, 7.3% Hispanic, 2.8% Asian/API, and 0.6% Native American). Period prevalence of diabetes and PAD was 23 per 1000 beneficiaries. We observed a 33% relative decrease in annual new diagnoses throughout the study. All racial/ethnic groups experienced a similar decline in new diagnoses. Black and Hispanic patients had on average a 50% greater rate of disease compared with White patients. One- and 5-year amputation rates remained stable at ≈1.5% and 3%, respectively. Native American, Black, and Hispanic patients were at greater risk of amputation compared with White patients at 1- and 5-year time points (5-year rate ratio range, 1.22-3.17). Across US regions, we observed differential amputation rates, with an inverse relationship between the prevalence of concomitant diabetes and PAD and overall amputation rates. CONCLUSIONS: Significant regional and racial/ethnic variation exists in the incidence of concomitant diabetes and PAD among Medicare patients. Black patients in areas with the lowest rates of PAD and diabetes are at disproportionally higher risk for amputation. Furthermore, areas with higher prevalence of PAD and diabetes have the lowest rates of amputation.

Utilization Patterns and Outcomes of People With Diabetes and COVID-19: Evidence From United States Medicare Beneficiaries in 2020.

Objective: Determine differences in utilization patterns, disease severity, and outcomes between patients with and without diabetes mellitus diagnosed with COVID-19 in 2020. Research Design and Methods: We used an observational cohort comprised of Medicare fee-for-service beneficiaries with a medical claim indicating a COVID-19 diagnosis. We performed inverse probability weighting between beneficiaries with and without diabetes to account for differences in socio-demographic characteristics and comorbidities. Results: In the unweighted comparison of beneficiaries, all characteristics were significantly different (P<0.001). Beneficiaries with diabetes were younger, more likely to be black, had more comorbidities, higher rates of Medicare-Medicaid dual-eligibility, and were less likely to be female. In the weighted sample, hospitalization rates for COVID-19 among beneficiaries with diabetes was higher (20.5% vs 17.1%; p < 0.001). Outcomes of hospitalizations were similarly worse among beneficiaries with diabetes: admissions to ICU during hospitalizations (7.78% vs. 6.11%; p < 0.001); in-hospital mortality (3.85% vs 2.93%; p < 0.001); and ICU mortality (2.41% vs 1.77%). Beneficiaries with diabetes had more ambulatory care visits (8.9 vs. 7.8, p < 0.001) and higher overall mortality (17.3% vs. 14.9%, p < 0.001) following COVID-19 diagnosis. Conclusion: Beneficiaries with diabetes and COVID-19 had higher rates of hospitalization, ICU use and overall mortality. While the mechanism of how diabetes impacts the severity of COVID-19 may not be fully understood, there are important clinical implications for persons with diabetes. A diagnosis of COVID-19 leads to greater financial and clinical burden than for their counterparts, persons without diabetes, including perhaps most significantly, higher death rates.

Complications and Mortality Following CRT-D Versus ICD Implants in Older Medicare Beneficiaries With Heart Failure.

OBJECTIVES: This study sought to assess the comparative effectiveness of cardiac resynchronization therapy with defibrillator (CRT-D) over implantable cardioverter-defibrillator (ICD) alone in older Medicare patients with heart failure with reduced ejection fraction (HFrEF). BACKGROUND: Despite growing numbers of older patients with HFrEF, the benefits of cardiac resynchronization therapy (CRT) in this group are largely unknown. METHODS: A cohort of fee-for-service Medicare beneficiaries ≥65 years of age with HFrEF and enrolled in Medicare Part D who underwent CRT-D or ICD implantation from January 2008 to August 2015 was identified. Beneficiaries were divided by age (65-74, 75-84, and 85+ years), and outcomes were compared between the CRT-D and ICD groups after inverse probability weighting. RESULTS: Compared with the ICD group, the CRT-D group was older and more likely to be White, be female, and have left bundle branch block. After weighting, overall complications were high across age and device groups (14%-20%). The 1-year mortality was high across all groups. In the 2 oldest age strata, the hazard of death was lower in the CRT-D group (HR: 0.90; 95% CI: 0.86-0.95 and HR: 0.81; 95% CI: 0.72-0.90, respectively; P < 0.001); the hazard of heart failure hospitalization was lower for CRT-D vs ICD in the 85+ years age group (HR: 0.82; 95% CI: 0.74-0.92; P < 0.001). CONCLUSIONS: In older Medicare beneficiaries undergoing ICD with or without CRT, complications and 1-year mortality were high. Compared with ICD alone, CRT-D was associated with a lower hazard of mortality in patients ≥74 years of age and lower hazard of HF hospitalization in those ≥85 years of age. These findings support the use of CRT in eligible older patients undergoing ICD implantation.