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1.
Med Care ; 62(7): 434-440, 2024 Jul 01.
Article in English | MEDLINE | ID: mdl-38848137

ABSTRACT

BACKGROUND: Hospitals are resurrecting the outdated "team nursing" model of staffing that substitutes lower-wage staff for registered nurses (RNs). OBJECTIVES: To evaluate whether reducing the proportion of RNs to total nursing staff in hospitals is in the best interest of patients, hospitals, and payers. RESEARCH DESIGN: Cross-sectional, retrospective. SUBJECTS: In all, 6,559,704 Medicare patients in 2676 general acute-care US hospitals in 2019. MEASURES: Patient outcomes: in-hospital and 30-day mortality, 30-day readmission, length of stay, and patient satisfaction. Avoidable Medicare costs associated with readmissions and cost savings to hospitals associated with shorter stays are projected. RESULTS: A 10 percentage-point reduction in RNs was associated with 7% higher odds of in-hospital death, 1% higher odds of readmission, 2% increase in expected days, and lower patient satisfaction. We estimate a 10 percentage-point reduction in RNs would result in 10,947 avoidable deaths annually and 5207 avoidable readmissions, which translates into roughly $68.5 million in additional Medicare costs. Hospitals would forgo nearly $3 billion in cost savings annually because of patients requiring longer stays. CONCLUSIONS: Reducing the proportion of RNs in hospitals, even when total nursing personnel hours are kept the same, is likely to result in significant avoidable patient deaths, readmissions, longer lengths of stay, and decreased patient satisfaction, in addition to excess Medicare costs and forgone cost savings to hospitals. Estimates represent only a 10 percentage-point dilution in skill mix; however, the team nursing model includes much larger reductions of 40-50 percentage-points-the human and economic consequences of which could be substantial.


Subject(s)
Length of Stay , Medicare , Nursing Staff, Hospital , Patient Readmission , Personnel Staffing and Scheduling , Humans , Nursing Staff, Hospital/economics , Nursing Staff, Hospital/supply & distribution , Cross-Sectional Studies , Retrospective Studies , Personnel Staffing and Scheduling/statistics & numerical data , United States , Medicare/economics , Medicare/statistics & numerical data , Patient Readmission/statistics & numerical data , Length of Stay/statistics & numerical data , Male , Female , Patient Satisfaction , Hospital Mortality , Aged
2.
Pharmacoepidemiol Drug Saf ; 33(6): e5846, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38825963

ABSTRACT

PURPOSE: Medications prescribed to older adults in US skilled nursing facilities (SNF) and administrations of pro re nata (PRN) "as needed" medications are unobservable in Medicare insurance claims. There is an ongoing deficit in our understanding of medication use during post-acute care. Using SNF electronic health record (EHR) datasets, including medication orders and barcode medication administration records, we described patterns of PRN analgesic prescribing and administrations among SNF residents with hip fracture. METHODS: Eligible participants resided in SNFs owned by 11 chains, had a diagnosis of hip fracture between January 1, 2018 to August 2, 2021, and received at least one administration of an analgesic medication in the 100 days after the hip fracture. We described the scheduling of analgesics, the proportion of available PRN doses administered, and the proportion of days with at least one PRN analgesic administration. RESULTS: Among 24 038 residents, 57.3% had orders for PRN acetaminophen, 67.4% PRN opioids, 4.2% PRN non-steroidal anti-inflammatory drugs, and 18.6% PRN combination products. The median proportion of available PRN doses administered per drug was 3%-50% and the median proportion of days where one or more doses of an ordered PRN analgesic was administered was 25%-75%. Results differed by analgesic class and the number of administrations ordered per day. CONCLUSIONS: EHRs can be leveraged to ascertain precise analgesic exposures during SNF stays. Future pharmacoepidemiology studies should consider linking SNF EHRs to insurance claims to construct a longitudinal history of medication use and healthcare utilization prior to and during episodes of SNF care.


Subject(s)
Analgesics , Electronic Health Records , Hip Fractures , Medicare , Skilled Nursing Facilities , Humans , Electronic Health Records/statistics & numerical data , Female , Aged , Male , Aged, 80 and over , United States , Analgesics/administration & dosage , Skilled Nursing Facilities/statistics & numerical data , Medicare/statistics & numerical data , Subacute Care/statistics & numerical data , Acetaminophen/administration & dosage
3.
JAMA Netw Open ; 7(6): e2414354, 2024 Jun 03.
Article in English | MEDLINE | ID: mdl-38861261

ABSTRACT

Importance: Concern has been raised about persistent sex disparities after coronary artery bypass grafting, with female patients having higher mortality. However, whether these disparities persist across hospitals of different qualities is unknown. Objective: To evaluate sex disparities in 30-day mortality after coronary artery bypass grafting across high- and low-quality hospitals. Design, Setting, and Participants: This cross-sectional, retrospective cohort study evaluated Medicare beneficiaries undergoing coronary artery bypass grafting between October 1, 2015, and March 31, 2020. Data analysis was performed from July 1, 2023, to December 1, 2023. Exposures: The primary exposures were hospital quality and sex. For hospital quality, hospitals were placed into rank order by their overall risk-adjusted mortality rate and divided into quintiles. Main Outcome and Measures: Risk-adjusted 30-day mortality using a logistic regression model accounting for patient factors, including sex, age, comorbidities, elective vs unplanned admission, number of bypass grafts, use of arterial graft, and year of surgery. Results: A total of 444 855 beneficiaries (mean [SD] age, 71.5 [7.5] years; 120 333 [27.1%] female and 324 522 [72.9%] male) were studied. Compared with male beneficiaries, female beneficiaries were more likely to have an unplanned admission (66 425 [55.2%] vs 157 895 [48.7%], P < .001) and receive care at low-quality (vs high-quality) hospitals (odds ratio, 1.26; 95% CI, 1.23-1.29; P < .001). Overall, risk-adjusted female mortality was 4.24% (95% CI, 4.20%-4.27%), and male mortality was 2.75% (95% CI, 2.75%-2.77%), with an absolute difference of 1.48 (95% CI, 1.45-1.51) percentage points (P < .001). At the highest-quality hospitals, male mortality was 1.57% (95% CI, 1.56%-1.59%), and female mortality was 2.58% (95% CI, 2.54%-2.62%), with an absolute difference of 1.01 (95% CI, 0.97-1.04) percentage points (P < .001). At the lowest-quality hospitals, male mortality was 4.94% (95% CI, 4.88%-5.01%), and female mortality was 7.02% (95% CI, 6.90%-7.13%), with an absolute difference of 2.07 (95% CI, 1.95-2.19) percentage points (P < .001). Female beneficiaries receiving care at low-quality hospitals had a higher mortality than male beneficiaries receiving care at the high-quality hospitals (7.02% vs 1.57%, P < .001). Conclusions and Relevance: In this cohort study of Medicare beneficiaries undergoing coronary artery bypass grafting, female beneficiaries were more likely to receive care at low-quality hospitals, where the sex disparity in mortality was double that of high-quality hospitals. Quality improvement targeting low-quality hospitals as well as equitable referral of female beneficiaries to higher-quality hospitals may narrow the sex disparity after coronary artery bypass grafting.


Subject(s)
Coronary Artery Bypass , Healthcare Disparities , Hospitals , Medicare , Quality of Health Care , Humans , Coronary Artery Bypass/mortality , Coronary Artery Bypass/statistics & numerical data , Female , Male , Aged , Cross-Sectional Studies , Retrospective Studies , United States/epidemiology , Hospitals/statistics & numerical data , Hospitals/standards , Healthcare Disparities/statistics & numerical data , Medicare/statistics & numerical data , Quality of Health Care/statistics & numerical data , Quality of Health Care/standards , Sex Factors , Hospital Mortality , Aged, 80 and over
4.
Am J Manag Care ; 30(5): 218-223, 2024 May.
Article in English | MEDLINE | ID: mdl-38748929

ABSTRACT

OBJECTIVES: Most Medicare beneficiaries obtain supplemental insurance or enroll in Medicare Advantage (MA) to protect against potentially high cost sharing in traditional Medicare (TM). We examined changes in Medicare supplemental insurance coverage in the context of MA growth. STUDY DESIGN: Repeated cross-sectional analysis of the Medicare Current Beneficiary Survey from 2005 to 2019. METHODS: We determined whether Medicare beneficiaries 65 years and older were enrolled in MA (without Medicaid), TM without supplemental coverage, TM with employer-sponsored supplemental coverage, TM with Medigap, or Medicaid (in TM or MA). RESULTS: From 2005 to 2019, beneficiaries with TM and supplemental insurance provided by their former (or current) employer declined by approximately half (31.8% to 15.5%) while the share in MA (without Medicaid) more than doubled (13.4% to 35.1%). The decline in supplemental employer-sponsored insurance use was greater for White and for higher-income beneficiaries. Over the same period, beneficiaries in TM without supplemental coverage declined by more than a quarter (13.9% to 10.1%). This decline was largest for Black, Hispanic, and lower-income beneficiaries. CONCLUSIONS: The rapid rise in MA enrollment from 2005 to 2019 was accompanied by substantial changes in supplemental insurance with TM. Our results emphasize the interconnectedness of different insurance choices made by Medicare beneficiaries.


Subject(s)
Medicare Part C , Humans , United States , Medicare Part C/statistics & numerical data , Medicare Part C/economics , Aged , Cross-Sectional Studies , Male , Female , Medicare/statistics & numerical data , Medicare/economics , Insurance Coverage/statistics & numerical data , Aged, 80 and over , Cost Sharing/statistics & numerical data , Insurance, Medigap/statistics & numerical data
5.
BMC Public Health ; 24(1): 1326, 2024 May 16.
Article in English | MEDLINE | ID: mdl-38755548

ABSTRACT

BACKGROUND: Hypertension prevalence among the overall US adult population has been relatively stable during the last two decades. However, whether this stabilization has occurred across rural-urban communities and across different geographic regions is unknown, particularly among older adults with diabetes who are likely to have concomitant cardiovascular risk factors. METHODS: This serial cross-sectional analysis used the 5% national sample of Medicare administrative claims data (n = 3,516,541) to examine temporal trends (2005-2017) in diagnosed hypertension among older adults with diabetes, across urban-rural communities and US census regions (Northeast, Midwest, South, and West). Joinpoint regression was used to obtain annual percent change (APC) in hypertension prevalence across rural-urban communities and geographic regions, and multivariable adjusted regression was used to assess associations between rural-urban communities and hypertension prevalence. RESULTS: The APC in the prevalence of hypertension was higher during 2005-2010, and there was a slowdown in the increase during 2011-2017 across all regions, with significant variations across rural-urban communities within each of the regions. In the regression analysis, in the adjusted model, older adults living in non-core (most rural) areas in the Midwest (PR = 0.988, 95% CI: 0.981-0.995) and West (PR = 0.935, 95% CI: 0.923-0.946) had lower hypertension prevalence than their regional counterparts living in large central metro areas. CONCLUSIONS: Although the magnitudes of these associations are small, differences in hypertension prevalence across rural-urban areas and geographic regions may have implications for targeted interventions to improve chronic disease prevention and management.


Subject(s)
Diabetes Mellitus , Hypertension , Rural Population , Urban Population , Humans , Hypertension/epidemiology , Aged , Male , Female , Prevalence , Cross-Sectional Studies , United States/epidemiology , Diabetes Mellitus/epidemiology , Rural Population/statistics & numerical data , Aged, 80 and over , Urban Population/statistics & numerical data , Medicare/statistics & numerical data , Risk Factors
6.
Vaccine ; 42(15): 3486-3492, 2024 May 31.
Article in English | MEDLINE | ID: mdl-38704258

ABSTRACT

BACKGROUND: While safety of influenza vaccines is well-established, some studies have suggested potential associations between influenza vaccines and certain adverse events (AEs). This study examined the safety of the 2022-2023 influenza vaccines among U.S. adults ≥ 65 years. METHODS: A self-controlled case series compared incidence rates of anaphylaxis, encephalitis/encephalomyelitis, Guillain-Barré Syndrome (GBS), and transverse myelitis following 2022-2023 seasonal influenza vaccinations (i.e., any, high-dose or adjuvanted) in risk and control intervals among Medicare beneficiaries ≥ 65 years. We used conditional Poisson regression to estimate incidence rate ratios (IRRs) and 95 % confidence intervals (CIs) adjusted for event-dependent observation time and seasonality. Analyses also accounted for uncertainty from outcome misclassification where feasible. For AEs with any statistically significant associations, we stratified results by concomitant vaccination status. RESULTS: Among 12.7 million vaccine recipients, we observed 76 anaphylaxis, 276 encephalitis/encephalomyelitis, 134 GBS and 75 transverse myelitis cases. Only rates of anaphylaxis were elevated in risk compared to control intervals. With all adjustments, an elevated, but non-statistically significant, anaphylaxis rate was observed following any (IRR: 2.40, 95% CI: 0.96-6.03), high-dose (IRR: 2.31, 95% CI: 0.67-7.91), and adjuvanted (IRR: 3.28, 95% CI: 0.71-15.08) influenza vaccination; anaphylaxis IRRs were 2.54 (95% CI: 0.49-13.05) and 1.64 (95% CI: 0.38-7.05) for persons with and without concomitant vaccination, respectively. CONCLUSIONS: Rates of encephalitis/encephalomyelitis, GBS, or transverse myelitis were not elevated following 2022-2023 seasonal influenza vaccinations among U.S. adults ≥ 65 years. There was an increased rate of anaphylaxis following influenza vaccination that may have been influenced by concomitant vaccination.


Subject(s)
Influenza Vaccines , Influenza, Human , Vaccination , Aged , Aged, 80 and over , Female , Humans , Male , Anaphylaxis/epidemiology , Drug-Related Side Effects and Adverse Reactions/epidemiology , Guillain-Barre Syndrome/epidemiology , Guillain-Barre Syndrome/etiology , Guillain-Barre Syndrome/chemically induced , Incidence , Influenza Vaccines/adverse effects , Influenza Vaccines/administration & dosage , Influenza, Human/prevention & control , Influenza, Human/epidemiology , Medicare/statistics & numerical data , Myelitis, Transverse/epidemiology , Myelitis, Transverse/etiology , Seasons , United States/epidemiology , Vaccination/adverse effects
7.
JAMA Netw Open ; 7(5): e2414223, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38819822

ABSTRACT

Importance: Traumatic brain injury (TBI) occurs at the highest rate in older adulthood and increases risk for cognitive impairment and dementia. Objectives: To update existing TBI surveillance data to capture nonhospital settings and to explore how social determinants of health (SDOH) are associated with TBI incidence among older adults. Design, Setting, and Participants: This nationally representative longitudinal cohort study assessed participants for 18 years, from August 2000 through December 2018, using data from the Health and Retirement Study (HRS) and linked Medicare claims dates. Analyses were completed August 9 through December 12, 2022. Participants were 65 years of age or older in the HRS with survey data linked to Medicare without a TBI prior to HRS enrollment. They were community dwelling at enrollment but were retained in HRS if they were later institutionalized. Exposures: Baseline demographic, cognitive, medical, and SDOH information from HRS. Main Outcomes and Measures: Incident TBI was defined using inpatient and outpatient International Classification of Diseases, Ninth or Tenth Revision, diagnosis codes received the same day or within 1 day as the emergency department (ED) visit code and the computed tomography (CT) or magnetic resonance imaging (MRI) code, after baseline HRS interview. A cohort with TBI codes but no ED visit or CT or MRI scan was derived to capture diagnoses in nonhospital settings. Descriptive statistics and bivariate associations of TBI with demographic and SDOH characteristics used sample weights. Fine-Gray regression models estimated associations between covariates and TBI, with death as a competing risk. Imputation considering outcome and complex survey design was performed by race and ethnicity, sex, education level, and Area Deprivation Index percentiles 1, 50, and 100. Other exposure variables were fixed at their weighted means. Results: Among 9239 eligible respondents, 5258 (57.7%) were female and 1210 (9.1%) were Black, 574 (4.7%) were Hispanic, and 7297 (84.4%) were White. Mean (SD) baseline age was 75.2 (8.0) years. During follow-up (18 years), 797 (8.9%) of respondents received an incident TBI diagnosis with an ED visit and a CT code within 1 day, 964 (10.2%) received an incident TBI diagnosis and an ED code, and 1148 (12.9%) received a TBI code with or without an ED visit and CT scan code. Compared with respondents without incident TBI, respondents with TBI were more likely to be female (absolute difference, 7.0 [95% CI, 3.3-10.8]; P < .001) and White (absolute difference, 5.1 [95% CI, 2.8-7.4]; P < .001), have normal cognition (vs cognitive impairment or dementia; absolute difference, 6.1 [95% CI, 2.8-9.3]; P = .001), higher education (absolute difference, 3.8 [95% CI, 0.9-6.7]; P < .001), and wealth (absolute difference, 6.5 [95% CI, 2.3-10.7]; P = .01), and be without baseline lung disease (absolute difference, 5.1 [95% CI, 3.0-7.2]; P < .001) or functional impairment (absolute difference, 3.3 [95% CI, 0.4-6.1]; P = .03). In adjusted multivariate models, lower education (subdistribution hazard ratio [SHR], 0.73 [95% CI, 0.57-0.94]; P = .01), Black race (SHR, 0.61 [95% CI, 0.46-0.80]; P < .001), area deprivation index national rank (SHR 1.00 [95% CI 0.99-1.00]; P = .009), and male sex (SHR, 0.73 [95% CI, 0.56-0.94]; P = .02) were associated with membership in the group without TBI. Sensitivity analyses using a broader definition of TBI yielded similar results. Conclusions and Relevance: In this longitudinal cohort study of older adults, almost 13% experienced incident TBI during the 18-year study period. For older adults who seek care for TBI, race and ethnicity, sex, and SDOH factors may be associated with incidence of TBI, seeking medical attention for TBI in older adulthood, or both.


Subject(s)
Brain Injuries, Traumatic , Humans , Brain Injuries, Traumatic/epidemiology , Brain Injuries, Traumatic/diagnostic imaging , Female , Male , Aged , Longitudinal Studies , Incidence , United States/epidemiology , Aged, 80 and over , Cohort Studies , Medicare/statistics & numerical data , Social Determinants of Health/statistics & numerical data
8.
JAMA Netw Open ; 7(5): e2412873, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38819826

ABSTRACT

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.


Subject(s)
Hospital Mortality , Medicare , Safety-net Providers , Sepsis , Humans , Sepsis/mortality , Safety-net Providers/statistics & numerical data , Aged , United States/epidemiology , Male , Female , Retrospective Studies , Aged, 80 and over , Medicare/statistics & numerical data , Patient Discharge/statistics & numerical data , Hospitals/statistics & numerical data
9.
JAMA Netw Open ; 7(5): e2413878, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38814642

ABSTRACT

Importance: The decision for surgical vs nonsurgical treatment for hip fracture can be complicated among community-dwelling people living with dementia. Objective: To compare outcomes of community-dwelling people living with dementia treated surgically and nonsurgically for hip fracture. Design, Setting, and Participants: This retrospective cross-sectional study undertook a population-based analysis of national Medicare fee-for-service data. Participants included community-dwelling Medicare beneficiaries with dementia and an inpatient claim for hip fracture from January 1, 2017, to June 30, 2018. Analyses were conducted from November 10, 2022, to October 17, 2023. Exposure: Surgical vs nonsurgical treatment for hip fracture. Main Outcomes and Measures: The primary outcome was mortality within 30, 90, and 180 days. Secondary outcomes consisted of selected post-acute care services. Results: Of 56 209 patients identified with hip fracture (73.0% women; mean [SD] age, 86.4 [7.0] years), 33 142 (59.0%) were treated surgically and 23 067 (41.0%) were treated nonsurgically. Among patients treated surgically, 73.3% had a fracture of the femoral head and neck and 40.2% had moderate to severe dementia (MSD). Among patients with MSD and femoral head and neck fracture, 180-day mortality was 31.8% (surgical treatment) vs 45.7% (nonsurgical treatment). For patients with MSD treated surgically vs nonsurgically, the unadjusted odds ratio (OR) of 180-day mortality was 0.56 (95% CI, 0.49-0.62; P < .001) and the adjusted OR was 0.59 (95% CI, 0.53-0.66; P < .001). Among patients with mild dementia and femoral head and neck fracture, 180-day mortality was 26.5% (surgical treatment) vs 34.9% (nonsurgical treatment). For patients with mild dementia who were treated surgically vs nonsurgically for femoral head and neck fracture, the unadjusted OR of 180-day mortality was 0.67 (95% CI, 0.60-0.76; P < .001) and the adjusted OR was 0.71 (95% CI, 0.63-0.79; P < .001). For patients with femoral head and neck fracture, there was no difference in admission to a nursing home within 180 days when treated surgically vs nonsurgically. Conclusions and Relevance: In this cohort study of community-dwelling patients with dementia and fracture of the femoral head and neck, patients with MSD and mild dementia treated surgically experienced lower odds of death compared with patients treated nonsurgically. Although avoiding nursing home admission is important to persons living with dementia, being treated surgically for hip fracture did not necessarily confer a benefit in that regard. These data can help inform discussions around values and goals with patients and caregivers when determining the optimal treatment approach.


Subject(s)
Dementia , Hip Fractures , Independent Living , Medicare , Humans , Dementia/therapy , Dementia/mortality , Hip Fractures/mortality , Hip Fractures/surgery , Hip Fractures/therapy , Female , Male , Aged, 80 and over , Cross-Sectional Studies , Retrospective Studies , Independent Living/statistics & numerical data , Aged , United States/epidemiology , Medicare/statistics & numerical data , Treatment Outcome
10.
Med Care ; 62(6): 423-430, 2024 Jun 01.
Article in English | MEDLINE | ID: mdl-38728681

ABSTRACT

OBJECTIVE: Fragmented readmissions, when admission and readmission occur at different hospitals, are associated with increased charges compared with nonfragmented readmissions. We assessed if hospital participation in health information exchange (HIE) was associated with differences in total charges in fragmented readmissions. DATA SOURCE: Medicare Fee-for-Service Data, 2018. STUDY DESIGN: We used generalized linear models with hospital referral region and readmission month fixed effects to assess relationships between information sharing (same HIE, different HIEs, and no HIE available) and total charges of 30-day readmissions among fragmented readmissions; analyses were adjusted for patient-level clinical/demographic characteristics and hospital-level characteristics. DATA EXTRACTION METHODS: We included beneficiaries with a hospitalization for acute myocardial infarction, congestive heart failure, chronic obstructive pulmonary disease, syncope, urinary tract infection, dehydration, or behavioral issues with a 30-day readmission for any reason. PRINCIPAL FINDINGS: In all, 279,729 admission-readmission pairs were included, 27% of which were fragmented (n=75,438); average charges of fragmented readmissions were $64,897-$71,606. Compared with fragmented readmissions where no HIE was available, the average marginal effects of same-HIE and different-HIE admission-readmission pairs were -$2329.55 (95% CI: -7333.73, 2674.62) and -$3905.20 (95% CI: -7592.85, -307.54), respectively. While the average marginal effects of different-HIE pairs were lower than those for no-HIE fragmented readmissions, the average marginal effects of same-HIE and different-HIE pairs were not significantly different from each other. CONCLUSIONS: There were no statistical differences in charges between fragmented readmissions to hospitals that share an HIE or that do not share an HIE compared with hospitals with no HIE available.


Subject(s)
Health Information Exchange , Medicare , Patient Readmission , Patient Readmission/statistics & numerical data , Humans , United States , Medicare/statistics & numerical data , Medicare/economics , Male , Female , Aged , Health Information Exchange/statistics & numerical data , Aged, 80 and over , Fee-for-Service Plans/statistics & numerical data
11.
JAMA Netw Open ; 7(5): e2410713, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38728030

ABSTRACT

Importance: Older adults with socioeconomic disadvantage develop a greater burden of disability after critical illness than those without socioeconomic disadvantage. The delivery of in-hospital rehabilitation that can mitigate functional decline may be influenced by social determinants of health (SDOH). Whether rehabilitation delivery differs by SDOH during critical illness hospitalization is not known. Objective: To evaluate whether SDOH are associated with the delivery of skilled rehabilitation during critical illness hospitalization among older adults. Design, Setting, and Participants: This cohort study used data from the National Health and Aging Trends Study linked with Medicare claims (2011-2018). Participants included older adults hospitalized with a stay in the intensive care unit (ICU). Data were analyzed from August 2022 to September 2023. Exposures: Dual eligibility for Medicare and Medicaid, education, income, limited English proficiency (LEP), and rural residence. Main Outcome and Measures: The primary outcome was delivery of physical therapy (PT) and/or occupational therapy (OT) during ICU hospitalization, characterized as any in-hospital PT or OT and rate of in-hospital PT or OT, calculated as total number of units divided by length of stay. Results: In the sample of 1618 ICU hospitalizations (median [IQR] patient age, 81.0 [75.0-86.0] years; 842 [52.0%] female), 371 hospitalizations (22.9%) were among patients with dual Medicare and Medicaid eligibility, 523 hospitalizations (32.6%) were among patients with less than high school education, 320 hospitalizations (19.8%) were for patients with rural residence, and 56 hospitalizations (3.5%) were among patients with LEP. A total of 1076 hospitalized patients (68.5%) received any PT or OT, with a mean rate of 0.94 (95% CI, 0.86-1.02) units/d. After adjustment for age, sex, prehospitalization disability, mechanical ventilation, and organ dysfunction, factors associated with lower odds of receipt of PT or OT included dual Medicare and Medicaid eligibility (adjusted odds ratio, 0.70 [95% CI, 0.50-0.97]) and rural residence (adjusted odds ratio, 0.65 [95% CI, 0.48-0.87]). LEP was associated with a lower rate of PT or OT (adjusted rate ratio, 0.55 [95% CI, 0.32-0.94]). Conclusions and Relevance: These findings highlight the need to consider SDOH in efforts to promote rehabilitation delivery during ICU hospitalization and to investigate factors underlying inequities in this practice.


Subject(s)
Hospitalization , Intensive Care Units , Medicare , Social Determinants of Health , Humans , Social Determinants of Health/statistics & numerical data , Aged , Female , Male , Intensive Care Units/statistics & numerical data , United States , Hospitalization/statistics & numerical data , Aged, 80 and over , Medicare/statistics & numerical data , Critical Illness/rehabilitation , Cohort Studies , Occupational Therapy/statistics & numerical data , Physical Therapy Modalities/statistics & numerical data , Medicaid/statistics & numerical data
12.
Am J Manag Care ; 30(6 Spec No.): SP473-SP477, 2024 May.
Article in English | MEDLINE | ID: mdl-38820190

ABSTRACT

OBJECTIVES: In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified Medicare utilization of and spending on FFRCT from 2018 through 2022 and characterized adopting hospitals, clinicians, and patients. STUDY DESIGN: Analysis, using 100% Medicare fee-for-service claims data, of the hospitals, clinicians, and patients who performed or received coronary CT angiography with or without FFRCT. METHODS: We measured annual trends in utilization of and spending on FFRCT among hospitals and clinicians from 2018 through 2022. Characteristics of FFRCT-adopting and nonadopting hospitals and clinicians were compared, as well as the characteristics of patients who received FFRCT vs those who did not. RESULTS: From 2018 to 2022, FFRCT billing volume in Medicare increased more than 11-fold (from 1083 to 12,363 claims). Compared with nonbilling hospitals, FFRCT-billing hospitals were more likely to be larger, part of a health system, nonprofit, and financially profitable. FFRCT-billing clinicians worked in larger group practices and were more likely to be cardiac specialists. FFRCT-receiving patients were more likely to be male and White and less likely to be dually enrolled in Medicaid or receiving disability benefits. CONCLUSIONS: In the initial 5 years of Medicare reimbursement for FFRCT, growth was concentrated among well-resourced hospitals and clinicians. As Medicare begins to reimburse clinicians for the use of AI-enabled clinical software such as FFRCT, it is crucial to monitor the diffusion of these services to ensure equal access.


Subject(s)
Artificial Intelligence , Coronary Artery Disease , Medicare , United States , Humans , Medicare/economics , Medicare/statistics & numerical data , Male , Female , Aged , Coronary Artery Disease/economics , Fractional Flow Reserve, Myocardial , Fee-for-Service Plans/statistics & numerical data , Computed Tomography Angiography/economics , Computed Tomography Angiography/statistics & numerical data , Software , Coronary Angiography/statistics & numerical data , Coronary Angiography/economics
13.
JAMA Netw Open ; 7(5): e2413309, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38805226

ABSTRACT

Importance: More than 70 000 Medicare beneficiaries receive care in long-term acute care hospitals (LTCHs) annually for prolonged acute illness. However, little is known about long-term functional and cognitive outcomes of middle-aged and older adults after hospitalization in an LTCH. Objective: To describe survival, functional, and cognitive status after LTCH hospitalization and to identify factors associated with an adverse outcome. Design, Setting, and Participants: This retrospective cohort study included middle-aged and older adults enrolled in the Health and Retirement Study (HRS) with linked fee-for-service Medicare claims. Included participants were aged 50 years or older with an LTCH admission between January 1, 2003, and December 31, 2016, with HRS interviews available before admission. Data were analyzed between November 1, 2021, and June 30, 2023. Main Outcomes and Measures: Function and cognition were ascertained from HRS interviews conducted every 2 years. The primary outcome was death or severe impairment in the 2.5 years after LTCH hospitalization, defined as dependencies in 2 or more activities of daily living (ADLs) or dementia. Multivariable logistic regression was performed to evaluate associations with a priori selected risk factors including pre-LTCH survival prognosis (Lee index score), pre-LTCH impairment status, and illness severity characterized by receipt of mechanical ventilation and prolonged intensive care unit stay of 3 days or longer. Results: This study included 396 participants, with a median age of 75 (IQR, 68-82) years. Of the participants, 201 (51%) were women, 125 (28%) had severe impairment, and 318 (80%) died or survived with severe impairment (functional, cognitive, or both) within 2.5 years of LTCH hospitalization. After accounting for acute illness characteristics, prehospitalization survival prognosis as determined by the Lee index score and severe baseline impairment (functional, cognitive, or both) were associated with an increased likelihood of death or severe impairment in the 2.5 years after LTCH hospitalization (adjusted odds ratio [AOR], 3.2 [95% CI, 1.7 to 6.0] for a 5-point increase in Lee index score; and AOR, 4.5 [95% CI, 1.3 to 15.4] for severe vs no impairment). Conclusions and Relevance: In this cohort study, 4 of 5 middle-aged and older adults died or survived with severe impairment within 2.5 years of LTCH hospitalization. Better preadmission survival prognosis and functional and cognitive status were associated with lower risk of an adverse outcome, and these findings should inform decision-making for older adults with prolonged acute illness.


Subject(s)
Cognition , Hospitalization , Humans , Female , Male , Aged , Retrospective Studies , Hospitalization/statistics & numerical data , United States/epidemiology , Middle Aged , Aged, 80 and over , Activities of Daily Living , Long-Term Care/statistics & numerical data , Medicare/statistics & numerical data , Risk Factors
14.
JNCI Cancer Spectr ; 8(3)2024 Apr 30.
Article in English | MEDLINE | ID: mdl-38718185

ABSTRACT

Type II diabetes is associated with cancer risk in the general population but has not been well studied as a risk factor for subsequent malignancies among cancer survivors. We investigated the association between diabetes and subsequent cancer risk among older (66-84 years), 1-year breast cancer survivors within the linked Surveillance Epidemiology and End Results (SEER)-Medicare database using Cox regression analyses to quantify hazard ratios (HR) and corresponding 95% confidence intervals (95% CI). Among 133 324 women, 29.3% were diagnosed with diabetes before or concurrent with their breast cancer diagnosis, and 10 452 women developed subsequent malignancies over a median follow-up of 4.3 years. Diabetes was statistically significantly associated with liver (HR = 2.35, 95% CI = 1.48 to 3.74), brain (HR = 1.94, 95% CI = 1.26 to 2.96), and thyroid cancer risks (HR = 1.38, 95% CI = 1.01 to 1.89). Future studies are needed to better understand the spectrum of subsequent cancers associated with diabetes and the role of diabetes medications in modifying subsequent cancer risk, alone or in combination with cancer treatments.


Subject(s)
Breast Neoplasms , Cancer Survivors , Diabetes Mellitus, Type 2 , Proportional Hazards Models , SEER Program , Humans , Female , Aged , Breast Neoplasms/epidemiology , Breast Neoplasms/etiology , Aged, 80 and over , Cancer Survivors/statistics & numerical data , Diabetes Mellitus, Type 2/complications , Diabetes Mellitus, Type 2/epidemiology , United States/epidemiology , Risk Factors , Liver Neoplasms/epidemiology , Liver Neoplasms/etiology , Thyroid Neoplasms/epidemiology , Thyroid Neoplasms/etiology , Brain Neoplasms/epidemiology , Brain Neoplasms/etiology , Medicare/statistics & numerical data , Neoplasms, Second Primary/epidemiology , Neoplasms, Second Primary/etiology
15.
Cancer Med ; 13(10): e7027, 2024 May.
Article in English | MEDLINE | ID: mdl-38770622

ABSTRACT

BACKGROUND: Black men and men with end-stage kidney disease have lower rates of treatment and higher mortality for prostate cancer. We studied the interaction of end-stage kidney disease (ESKD) with Black race for treatment rates and mortality for men with prostate cancer. METHODS AND RESULTS: We included 516 Black and 551 White men with ESKD before prostate cancer 22,299 Black men, and 141,821 White men without ESKD who were 40 years or older from the Surveillance, Epidemiology, and End-Results-Medicare data (2004-2016). All Black men with or without ESKD and White men with ESKD had higher prostate-specific antigen levels at diagnosis than White men without ESKD. Black men with ESKD had the lowest rates for treatment in both local and advanced stages of prostate cancer (age-adjusted risk ratio: 0.76, 95% Confidence Interval (CI): 0.71-0.82 for local stage and age-adjusted risk ratio: 0.82, 95% CI: 0.76-0.9 for advanced stages) compared to White men without ESKD. Compared to White men without ESKD, prostate cancer-specific mortality was higher in White men with ESKD for both local and advanced stages (age-adjusted hazard ratio: 1.8, 95% CI: 1.2-2.8 and HR: 1.6, 95% CI: 1.2-2.2) and it was higher for ESKD Black men only in advanced stage prostate cancer (age-adjusted hazard ratio: 2.4, 95% CI: 1.5-3.6). CONCLUSION: Our findings suggest that having a comorbidity such as ESKD makes Black men more vulnerable to racial disparities in prostate cancer treatment and mortality.


Subject(s)
Black or African American , Healthcare Disparities , Kidney Failure, Chronic , Prostatic Neoplasms , SEER Program , White People , Humans , Male , Prostatic Neoplasms/mortality , Prostatic Neoplasms/therapy , Prostatic Neoplasms/pathology , Prostatic Neoplasms/ethnology , Aged , Kidney Failure, Chronic/mortality , Kidney Failure, Chronic/epidemiology , Kidney Failure, Chronic/therapy , Black or African American/statistics & numerical data , United States/epidemiology , White People/statistics & numerical data , Aged, 80 and over , Prostate-Specific Antigen/blood , Middle Aged , Medicare/statistics & numerical data
16.
JAMA Health Forum ; 5(5): e240807, 2024 May 03.
Article in English | MEDLINE | ID: mdl-38700854

ABSTRACT

Importance: Comprehensive medication reviews (CMRs) are offered to qualifying US Medicare beneficiaries annually to optimize medication regimens and therapeutic outcomes. In 2016, Medicare adopted CMR completion as a Star Rating quality measure to encourage the use of CMRs. Objective: To examine trends in CMR completion rates before and after 2016 and whether racial, ethnic, and socioeconomic disparities in CMR completion changed. Design, Setting, and Participants: This observational study using interrupted time-series analysis examined 2013 to 2020 annual cohorts of community-dwelling Medicare beneficiaries aged 66 years and older eligible for a CMR as determined by Part D plans and by objective minimum eligibility criteria. Data analysis was conducted from September 2022 to February 2024. Exposure: Adoption of CMR completion as a Star Rating quality measure in 2016. Main Outcome and Measures: CMR completion modeled via generalized estimating equations. Results: The study included a total of 561 950 eligible beneficiaries, with 253 561 in the 2013 to 2015 cohort (median [IQR] age, 75.8 [70.7-82.1] years; 90 778 male [35.8%]; 6795 Asian [2.7%]; 24 425 Black [9.6%]; 7674 Hispanic [3.0%]; 208 621 White [82.3%]) and 308 389 in the 2016 to 2020 cohort (median [IQR] age, 75.1 [70.4-80.9] years; 126 730 male [41.1%]; 8922 Asian [2.9%]; 27 915 Black [9.1%]; 7635 Hispanic [2.5%]; 252 781 White [82.0%]). The unadjusted CMR completion rate increased from 10.2% (7379 of 72 225 individuals) in 2013 to 15.6% (14 185 of 90 847 individuals) in 2015 and increased further to 35.8% (18 376 of 51 386 individuals) in 2020, in part because the population deemed by Part D plans to be MTM-eligible decreased by nearly half after 2015 (90 487 individuals in 2015 to 51 386 individuals in 2020). Among a simulated cohort based on Medicare minimum eligibility thresholds, the unadjusted CMR completion rate increased but to a lesser extent, from 4.4% in 2013 to 12.6% in 2020. Compared with White beneficiaries, Asian and Hispanic beneficiaries experienced greater increases in likelihood of CMR completion after 2016 but remained less likely to complete a CMR. Dual-Medicaid enrollees also experienced greater increases in likelihood of CMR completion as compared with those without either designation, but still remained less likely to complete CMR. Conclusion and Relevance: This study found that adoption of CMR completion as a Star Rating quality measure was associated with higher CMR completion rates. The increase in CMR completion rates was achieved partly because Part D plans used stricter eligibility criteria to define eligible patients. Reductions in disparities for eligible Asian, Hispanic, and dual-Medicaid enrollees were seen, but not eliminated. These findings suggest that quality measures can inform plan behavior and could be used to help address disparities.


Subject(s)
Healthcare Disparities , Humans , United States , Aged , Male , Female , Aged, 80 and over , Healthcare Disparities/statistics & numerical data , Healthcare Disparities/ethnology , Medicare/statistics & numerical data , Interrupted Time Series Analysis , Medicare Part D/statistics & numerical data , Ethnicity/statistics & numerical data
17.
Health Aff (Millwood) ; 43(5): 659-665, 2024 May.
Article in English | MEDLINE | ID: mdl-38709973

ABSTRACT

We investigated county-level variation in mRNA COVID-19 vaccine use among Medicare beneficiaries throughout the United States. There was greater use of Pfizer-BioNTech vaccines than Moderna vaccines in urban areas for first and booster doses.


Subject(s)
COVID-19 Vaccines , COVID-19 , Medicare , Rural Population , Urban Population , Humans , United States , COVID-19/prevention & control , Urban Population/statistics & numerical data , Medicare/statistics & numerical data , Aged , Female , Male , BNT162 Vaccine , SARS-CoV-2
18.
Environ Int ; 188: 108739, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38754245

ABSTRACT

INTRODUCTION: Protective associations of greenspace with Parkinson's disease (PD) have been observed in some studies. Visual exposure to greenspace seems to be important for some of the proposed pathways underlying these associations. However, most studies use overhead-view measures (e.g., satellite imagery, land-classification data) that do not capture street-view greenspace and cannot distinguish between specific greenspace types. We aimed to evaluate associations of street-view greenspace measures with hospitalizations with a PD diagnosis code (PD-involved hospitalization). METHODS: We created an open cohort of about 45.6 million Medicare fee-for-service beneficiaries aged 65 + years living in core based statistical areas (i.e. non-rural areas) in the contiguous US (2007-2016). We obtained 350 million Google Street View images across the US and applied deep learning algorithms to identify percentages of specific greenspace features in each image, including trees, grass, and other green features (i.e., plants, flowers, fields). We assessed yearly average street-view greenspace features for each ZIP code. A Cox-equivalent re-parameterized Poisson model adjusted for potential confounders (i.e. age, race/ethnicity, socioeconomic status) was used to evaluate associations with first PD-involved hospitalization. RESULTS: There were 506,899 first PD-involved hospitalizations over 254,917,192 person-years of follow-up. We found a hazard ratio (95% confidence interval) of 0.96 (0.95, 0.96) per interquartile range (IQR) increase for trees and a HR of 0.97 (0.96, 0.97) per IQR increase for other green features. In contrast, we found a HR of 1.06 (1.04, 1.07) per IQR increase for grass. Associations of trees were generally stronger for low-income (i.e. Medicaid eligible) individuals, Black individuals, and in areas with a lower median household income and a higher population density. CONCLUSION: Increasing exposure to trees and other green features may reduce PD-involved hospitalizations, while increasing exposure to grass may increase hospitalizations. The protective associations may be stronger for marginalized individuals and individuals living in densely populated areas.


Subject(s)
Hospitalization , Medicare , Parkinson Disease , Humans , United States , Aged , Parkinson Disease/epidemiology , Medicare/statistics & numerical data , Hospitalization/statistics & numerical data , Male , Female , Cohort Studies , Aged, 80 and over
19.
J Geriatr Oncol ; 15(5): 101795, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38759256

ABSTRACT

INTRODUCTION: We sought to determine how considerations specific to older adults impact between- and within-surgeon variation in axillary surgery use in women ≥70 years with T1N0 HR+ breast cancer. MATERIALS AND METHODS: Females ≥70 years with T1N0 HR+/HER2-negative breast cancer diagnosed from 2013 to 2015 in SEER-Medicare were identified and linked to the American Medical Association Masterfile. The outcome of interest was axillary surgery. Key patient-level variables included the Charlson Comorbidity Index (CCI) score, frailty (based on a claims-based frailty index score), and age (≥75 vs <75). Multilevel mixed models with surgeon clusters were used to estimate the intracluster correlation coefficient (ICC) (between-surgeon variance), with 1-ICC representing within-surgeon variance. RESULTS: Of the 4410 participants included, 6.1% had a CCI score of ≥3, 20.7% were frail, and 58.3% were ≥ 75 years; 86.1% underwent axillary surgery. No surgeon omitted axillary surgery in all patients, but 42.3% of surgeons performed axillary surgery in all patients. In the null model, 10.5% of the variance in the axillary evaluation was attributable to between-surgeon differences. After adjusting for CCI score, frailty, and age in mixed models, between-surgeon variance increased to 13.0%. DISCUSSION: In this population, axillary surgery varies more within surgeons than between surgeons, suggesting that surgeons are not taking an "all-or-nothing" approach. Comorbidities, frailty, and age accounted for a small proportion of the variation, suggesting nuanced decision-making may include additional, unmeasured factors such as differences in surgeon-patient communication.


Subject(s)
Axilla , Breast Neoplasms , Practice Patterns, Physicians' , SEER Program , Humans , Breast Neoplasms/surgery , Female , Aged , Retrospective Studies , Aged, 80 and over , Practice Patterns, Physicians'/statistics & numerical data , United States/epidemiology , Lymph Node Excision/statistics & numerical data , Frailty/epidemiology , Medicare/statistics & numerical data
20.
JAMA Netw Open ; 7(5): e2411520, 2024 May 01.
Article in English | MEDLINE | ID: mdl-38753329

ABSTRACT

Importance: Transitions in care settings following live discharge from hospice care are burdensome for patients and families. Factors contributing to risk of burdensome transitions following hospice discharge are understudied. Objective: To identify factors associated with 2 burdensome transitions following hospice live discharge, as defined by the Centers for Medicare & Medicaid Services. Design, Setting, and Participants: This population-based retrospective cohort study included a 20% random sample of Medicare fee-for-service beneficiaries using 2014 to 2019 Medicare claims data. Data were analyzed from April 22, 2023, to March 4, 2024. Exposure: Live hospice discharge. Main Outcomes and Measures: Multivariable logistic regression examined associations among patient, health care provision, and organizational characteristics with 2 burdensome transitions after live hospice discharge (outcomes): type 1, hospice discharge, hospitalization within 2 days, and hospice readmission within 2 days; and type 2, hospice discharge, hospitalization within 2 days, and hospital death. Results: This study included 115 072 Medicare beneficiaries discharged alive from hospice (mean [SD] age, 84.4 [6.6] years; 71892 [62.5%] female; 5462 [4.8%] Hispanic, 9822 [8.5%] non-Hispanic Black, and 96 115 [83.5%] non-Hispanic White). Overall, 10 381 individuals (9.0%) experienced a type 1 burdensome transition and 3144 individuals (2.7%) experienced a type 2 burdensome transition. In adjusted models, factors associated with higher odds of burdensome transitions included identifying as non-Hispanic Black (type 1: adjusted odds ratio [aOR], 1.47; 95% CI, 1.36-1.58; type 2: aOR, 1.70; 95% CI, 1.51-1.90), hospice stays of 7 days or fewer (type 1: aOR, 1.13; 95% CI, 1.06-1.21; type 2: aOR, 1.71; 95% CI, 1.53-1.90), and care from a for-profit hospice (type 1: aOR, 1.78; 95% CI, 1.62-1.96; type 2: aOR, 1.32; 95% CI, 1.15-1.52). Nursing home residence (type 1: aOR, 0.66; 95% CI, 0.61-0.72; type 2: aOR, 0.47; 95% CI, 0.40-0.54) and hospice stays of 180 days or longer (type 1: aOR, 0.63; 95% CI, 0.59-0.68; type 2: aOR, 0.60; 95% CI, 0.52-0.69) were associated with lower odds of burdensome transitions. Conclusion and Relevance: This retrospective cohort study of burdensome transitions following live hospice discharge found that non-Hispanic Black race, short hospice stays, and care from for-profit hospices were associated with higher odds of experiencing a burdensome transition. These findings suggest that changes to clinical practice and policy may reduce the risk of burdensome transitions, such as hospice discharge planning that is incentivized, systematically applied, and tailored to needs of patients at greater risk for burdensome transitions.


Subject(s)
Hospice Care , Hospitalization , Medicare , Patient Discharge , Patient Readmission , Humans , Female , Male , United States , Patient Discharge/statistics & numerical data , Patient Readmission/statistics & numerical data , Retrospective Studies , Aged, 80 and over , Aged , Hospice Care/statistics & numerical data , Medicare/statistics & numerical data , Hospitalization/statistics & numerical data , Hospital Mortality , Hospices/statistics & numerical data
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