Low-density lipoprotein cholesterol levels among individuals experiencing statin-associated symptoms: Data from the REasons for Geographic And Racial Differences in Stroke (REGARDS) study.

BACKGROUND: Guidelines recommend adults who discontinue statin therapy because of statin-associated symptoms be reinitiated. Low-density lipoprotein cholesterol (LDL-C) levels achieved after statin reinitiation are unknown. OBJECTIVE: The objective of this study was to determine LDL-C levels after statin reinitiation. METHODS: We analyzed data from 5498 participants in the REasons for Geographic And Racial Differences in Stroke study who reported ever taking a statin. We categorized participants according to their pattern of statin use including those taking a statin who did not experience statin-associated symptoms and continued treatment, and those who discontinued statins because of statin-associated symptoms and were not reinitiated, reinitiated and remained on treatment, and discontinued treatment after being reinitiated. Mortality and vascular event reduction with statin reinitiation was estimated using data from the Cholesterol-Lowering Treatment Trialists Collaboration. RESULTS: After multivariable adjustment, LDL-C was 14.1 (95% CI: 9.9-18.3) mg/dL higher among participants reinitiated and taking a statin compared with those without statin-associated symptoms who continued statin therapy. Mean LDL-C was 18.1 mg/dL (95% CI: 13.0-23.1) and 27.5 mg/dL (95% CI: 20.7-34.4) lower among participants reinitiated and taking a statin compared with those who discontinued statin therapy and were not reinitiated and those who discontinued statins after being reinitiated, respectively. An LDL-C reduction of 18.1 mg/dL with statin reinitiation was projected to reduce all-cause and coronary heart disease mortality by 5.6% and 8.9%, respectively, and myocardial infarction or coronary heart disease death and major vascular events by 10.7% and 9.8%, respectively, over 5 years. CONCLUSION: Reinitiating individuals who discontinue statin therapy may reduce LDL-C and cardiovascular risk.

A Qualitative Assessment of the Living Donor Navigator Program to Identify Core Competencies and Promising Practices for Implementation.

INTRODUCTION: The best strategy to increase awareness of and access to living kidney donation remains unknown. To build upon the existing strategies, we developed the Living Donor Navigator program, combining advocacy training of patient advocates with enhanced health-care systems training of patient navigators to address potential living donor concerns during the evaluation process. Herein, we describe a systematic assessment of the delivery and content of the program through focus group discussion. METHODS: We conducted focus groups with 9 advocate participants in the Living Donor Navigator program to identify knowledge, skills, and abilities needed for both advocates and navigators. We focused on 2 organizational levels: (1) the participant level or the advocacy training of the advocates and (2) the programmatic level or the support role provided by the navigators and administration of the program. FINDINGS: From 4 common themes (communication, education, support, and commitment), we identified several core competencies and promising practices, at both the participant and programmatic levels. These themes highlighted the potential for several improvements of program content and delivery, the importance of cultural sensitivity among the Living Donor navigators, and the opportunity for informal caregiver support and accountability provided by the program. DISCUSSION: These competencies and promising practices represent actionable strategies for content refinement, optimal training of advocates, and engagement of potential living donors through the Living Donor Navigator program. These findings may also assist with program implementation at other transplant centers in the future.

Association of Region and Hospital and Patient Characteristics With Use of High-Intensity Statins After Myocardial Infarction Among Medicare Beneficiaries.

Importance: High-intensity statin use after myocardial infarction (MI) varies by patient characteristics, but little is known about differences in use by hospital or region. Objective: To explore the relative strength of associations of region and hospital and patient characteristics with high-intensity statin use after MI. Design, Setting, and Participants: This retrospective cohort analysis used Medicare administrative claims and enrollment data to evaluate fee-for-service Medicare beneficiaries 66 years or older who were hospitalized for MI from January 1, 2011, through June 30, 2015, with a statin prescription claim within 30 days of discharge. Data were analyzed from January 4, 2017, through May 12, 2019. Exposures: Beneficiary characteristics were abstracted from Medicare data. Hospital characteristics were obtained from the 2014 American Hospital Association Survey and Hospital Compare quality metrics. Nine regions were defined according to the US Census. Main Outcomes and Measures: Intensity of the first statin claim after discharge characterized as high (atorvastatin calcium, 40-80 mg, or rosuvastatin calcium, 20-40 mg/d) vs low to moderate (all other statin types and doses). Trends in high-intensity statins were examined from 2011 through 2015. Associations of region and beneficiary and hospital characteristics with high-intensity statin use from January 1, 2014, to June 15, 2015, were examined using Poisson distribution mixed models. Results: Among the 139 643 fee-for-service beneficiaries included (69 968 men [50.1%] and 69 675 women [49.9%]; mean [SD] age, 76.7 [7.5] years), high-intensity statin use overall increased from 23.4% in 2011 to 55.6% in 2015, but treatment gaps persisted across regions. In models considering region and beneficiary and hospital characteristics, region was the strongest correlate of high-intensity statin use, with 66% higher use in New England than in the West South Central region (risk ratio [RR], 1.66; 95% CI, 1.47-1.87). Hospital size of at least 500 beds (RR, 1.15; 95% CI, 1.07-1.23), medical school affiliation (RR, 1.11; 95% CI, 1.05-1.17), male sex (RR, 1.10; 95% CI, 1.07-1.13), and patient receipt of a stent (RR, 1.35; 95% CI, 1.31-1.39) were associated with greater high-intensity statin use. For-profit hospital ownership, patient age older than 75 years, prior coronary disease, and other comorbidities were associated with lower use. Conclusions and Relevance: This study's findings suggest that geographic region is the strongest correlate of high-intensity statin use after MI, leading to large treatment disparities.

Medicaid Expansion and Hospitalization for Ambulatory Care-Sensitive Conditions Among Nonelderly Adults With Diabetes.

Among nonelderly adults with diabetes, we compared hospitalizations for ambulatory care-sensitive conditions from 2013 (pre-Medicaid expansion) and 2014 (post-Medicaid expansion) for 13 expansion and 4 nonexpansion states using State Inpatient Databases. Medicaid expansion was associated with decreases in proportions of hospitalizations for chronic conditions (difference between 2014 and 2013 -0.17 percentage points in expansion and 0.37 in nonexpansion states, P = .04), specifically diabetes short-term complications (difference between 2014 and 2013 -0.05 percentage points in expansion and 0.21 in nonexpansion states, P = .04). Increased access to care through Medicaid expansion may improve disease management in nonelderly adults with diabetes.

Radiation Oncologist Characteristics and their Association with Outcomes in Patients with Head and Neck Cancer.

PURPOSE: Intensity modulated radiation therapy (IMRT) is widely used in the treatment of head and neck cancers (HNC). There is not enough evidence to suggest that some radiation oncologists (ROs) are associated with better outcomes in patients with HNC. We conducted a cross-sectional analysis to evaluate the effect of ROs' characteristics on outcomes in patients with HNC treated with IMRT. METHODS AND MATERIALS: The study used the Surveillance Epidemiology and End Results-Medicare linked database to identify patient characteristics. Physician records were obtained from the American Medical Association. Logistic regression models with propensity scores were analyzed to look for an association between RO characteristics and patient outcomes. RESULTS: RO characteristics showed that approximately 30% of ROS completed their training in or after the year 2000 (recently trained), and 17% were in top decile of treatment volume (high volume). Less than 3% of ROs work in academic settings. We found that ROs who were recently trained have higher odds (odds ratio [OR]: 1.10; 95% confidence interval [CI], 1.011-1.191) compared with those who were not. In addition, ROs who were treating high volumes of patients have higher odds (OR: 1.08; 95% CI, 1.010-1.165) compared with those treating low volumes of an event of adverse effect of IMRT or death among patients. ROs who work in academic settings have a protective effect (OR: 0.72; 95% CI, 0.569-0.925). CONCLUSIONS: ROs who were recently trained and had a high treatment volume are associated with poorer outcomes among patients with HNC who receive IMRT treatment.

Low Utilization of Beta-Blockers Among Medicare Beneficiaries Hospitalized for Heart Failure With Reduced Ejection Fraction.

BACKGROUND: The evidence-based beta-blockers carvedilol, bisoprolol, and metoprolol succinate reduce mortality and hospitalizations among patients with heart failure with reduced ejection fraction (HFrEF). Use of these medications is not well described in the general population of patients with HFrEF, especially among patients with potential contraindications. OBJECTIVES: Our goal was to describe the patterns of prescription fills for carvedilol, bisoprolol, and metoprolol succinate among Medicare beneficiaries hospitalized for HFrEF, as well as to estimate the associations between specific contraindications for beta-blocker therapy and those patterns. METHODS AND RESULTS: With the use of the cohort of 15,205 Medicare beneficiaries hospitalized for HFrEF from 2007 to 2013 in the 5% Medicare random sample, we described prescription fills (30 days after discharge) and dosage patterns (1 year after discharge) for beta-blockers. By means of of Fine and Gray competing risk models, we estimated the associations between potential contraindications (hypotension, chronic obstructive pulmonary disease [COPD], asthma, and syncope) and prescription fill and dosing patterns while adjusting for demographics, comorbidities, and health care utilization. For beneficiaries who did not die or readmitted to the hospital, 38% of hospitalizations were followed by a prescription fill for an evidence-based beta-blocker within 30 days, 12% were followed by prescription fills for at least 50% of the recommended dose of an evidence-based beta-blocker within 1 year, and 9% were followed by a prescription fill for an up-titrated dose of an evidence-based beta-blocker within 1 year. The prevalence of the contraindications were 21% for hypotension, 48% for COPD, 15% for asthma, and 12% for syncope. Among beneficiaries who did not fill a prescription for an evidence-based beta-blocker within 30 days, 67% had at least 1 of these contraindications. Hypotension, COPD, and syncope were each associated with a ∼10% lower risk of filling a prescription for an evidence-based beta-blocker. CONCLUSIONS: Prescription fill and up-titration rates for evidence-based beta-blockers are low among Medicare beneficiaries with HFrEF, but contraindications explain only a minor part of these low rates.

A 9-Point Risk Assessment for Patients Who Inject Drugs and Require Intravenous Antibiotics: Focusing Inpatient Resources on Patients at Greatest Risk of Ongoing Drug Use.

A 9-point risk assessment identified persons with a history of injection drug use who were safe for discharge. "Low-risk" patients were discharged with outpatient antibiotics; others continued inpatient treatment. Use of the assessment reduced the mean length of stay by 20 days and total direct cost by 33%, creating capacity for an additional 333 patients.

Impact of Mental Health Parity and Addiction Equity Act on Costs and Utilization in Alabama's Children's Health Insurance Program.

OBJECTIVE: The Mental Health Parity and Addiction Equity Act (MHPAEA) of 2008 mandates equivalent insurance coverage for mental health (MH) and substance use disorders (SUD) to other medical and surgical services covered by group insurance plans, Medicaid, and Children's Health Insurance Programs (CHIP). We explored the impact of MHPAEA on enrollees in ALL Kids, the Alabama CHIP. METHODS: We use ALL Kids claims data for October 2008 to December 2014. October 2008 through September 2009 marks the period before MHPAEA implementation. We evaluated changes in MH/SUD-related utilization and program costs and changes in racial/ethnic disparities in the use of MH/SUD services for ALL Kids enrollees using 2-part models. This allowed analyses of changes from no use to any use, as well as in intensity of use. RESULTS: No significant effect was found on overall MH service-use. There were statistically significant increases in inpatient visits and length of stay and some increase in overall MH costs. These increases may not be clinically important and were concentrated in 2009 to 2011. Disparities in utilization between African-American and non-Hispanic white enrollees were somewhat exacerbated, whereas disparities between other minorities and non-Hispanic whites were reduced. CONCLUSIONS: Findings indicate that MHPAEA led to a 14.3% increase in inpatient visits, a 12.5% increase in length of inpatient stay, and a 7.8% increase in MH costs. The increases appear limited to 2009 to 2011, suggesting existing pent-up "needs" among enrollees for added MH/SUD services that resulted in a temporary spike in service use and cost immediately after MHPAEA, which subsequently subsided.

Medical Expenditures Among Medicare Beneficiaries with Statin-Associated Adverse Effects Following Myocardial Infarction.

PURPOSE: Compare medical expenditures among adults with statin-associated adverse effects (SAAE) and high statin adherence (HSA) following myocardial infarction (MI). METHODS: We analyzed expenditures in 2016 US dollars among Medicare beneficiaries with SAAE (n = 1741) and HSA (n = 55,567) who were ≥ 66 years of age and initiated moderate/high-intensity statins following an MI in 2007-2013. SAAE were identified through a claims-based algorithm, which included down-titrating statins and initiating ezetimibe, switching to ezetimibe monotherapy, having a rhabdomyolysis or antihyperlipidemic adverse event followed by statin down-titration or discontinuation, or switching between ≥ 3 statin types within 365 days following MI. HSA was defined by having a statin available to take for ≥ 80% of the days in the 365 days following MI. RESULTS: Expenditures among beneficiaries with SAAE and HSA were $40,776 (95% CI $38,329-$43,223) and $26,728 ($26,482-$26,974), respectively, in the 365 days following MI, and $34,238 ($31,396-$37,080) and $29,053 ($28,605-$29,500), respectively, for every year after the first 365 days. Multivariable-adjusted ratios comparing expenditures among beneficiaries with SAAE versus HSA in the first 365 days and after the first 365 days following MI were 1.51 (95% CI 1.43-1.59) and 1.23 (1.12-1.34), respectively. Inpatient and outpatient expenditures were higher among beneficiaries with SAAE versus HSA during and after the first 365 days following MI. Compared to beneficiaries with HSA, medication expenditures among those with SAAE were similar in the 365 days following MI, but higher afterwards. Other medical expenditures were higher among beneficiaries with SAAE versus HSA. CONCLUSION: SAAE are associated with increased expenditures following MI compared with HSA.

Use of Medicare Claims Data for the Identification of Myocardial Infarction: The Reasons for Geographic And Racial Differences in Stroke Study.

OBJECTIVES: Assess the validity of Medicare claims for identifying myocardial infarction (MI). METHODS: We used data from 9951 Medicare beneficiaries 65 years and above in the Reasons for Geographic And Racial Differences in Stroke study. Between 2003 and 2012, 669 participants had an MI identified and adjudicated through study procedures (ie, the gold standard), and 552 had an overnight inpatient claim with a code for MI (ICD-9 code 410.x0 or 410.x1) in any discharge diagnosis position. RESULTS: Using Medicare claims with a discharge diagnosis code for MI in any position, the positive predictive value (PPV) was 84.3% [95% confidence interval (CI), 80.9%-87.3%] and the sensitivity was 49.0% (95% CI, 44.9%-53.1%). Sensitivity was lower for men (45.8%) versus women (55.1%), microsize MIs (13.7%) versus other MIs (64.7%), type 2 (30.9%), and 4-5 MIs (11.1%) versus type 1 MIs (76.6%), and MIs occurring in-hospital (28.8%) versus out-of-hospital (66.7%). Using Medicare claims with a code for MI in the primary discharge diagnosis position, the PPV was 89.7% (95% CI, 86.3%-92.5%) and sensitivity was 40.1% (95% CI, 36.1%-44.2%). The sensitivity of claims with a code for MI in the primary discharge diagnosis position was lower for microsize versus other MIs, type 2 and 4-5 MIs versus type 1 MIs and MIs occurring in-hospital versus out-of-hospital. Hazard ratios for MI associated with participant characteristics were similar using adjudicated MIs identified through study procedures or claims for MI without further adjudication. CONCLUSIONS: Medicare claims have a high PPV but low sensitivity for identifying MI and can be used to investigate individual-level characteristics associated with MI.

Differential Impact of Hospital and Community Factors on Medicare Readmission Penalties.

OBJECTIVE: To identify hospital/county characteristics and sources of regional heterogeneity associated with readmission penalties. DATA SOURCES/STUDY SETTING: Acute care hospitals under the Hospital Readmissions Reduction Program from fiscal years 2013 to 2018 were linked to data from the Annual Hospital Association, Centers for Medicare and Medicaid Services, Medicare claims, Hospital Compare, Nursing Home Compare, Area Resource File, Health Inequity Project, and Long-term Care Focus. The final sample contained 3,156 hospitals in 1,504 counties. DATA COLLECTION/EXTRACTION METHODS: Data sources were combined using Medicare hospital identifiers or Federal Information Processing Standard codes. STUDY DESIGN: A two-level hierarchical model with correlated random effects, also known as the Mundlak correction, was employed with hospitals nested within counties. PRINCIPAL FINDINGS: Over a third of the variation in readmission penalties was attributed to the county level. Patient sociodemographics and the surrounding access to and quality of care were significantly associated with penalties. Hospital measures of Medicare volume, percentage dual-eligible and Black patients, and patient experience were correlated with unobserved area-level factors that also impact penalties. CONCLUSIONS: As the readmission risk adjustment does not include any community-level characteristics or geographic controls, the resulting endogeneity bias has the potential to disparately penalize certain hospitals.

Is self or caregiver report comparable to Medicare claims indicators of healthcare utilization after stroke?

Background Claims data from Medicare or other payers might not generalize to other populations regarding service use after stroke especially among younger patients. However, high agreement between self-report and Medicare claims data would support the use of self-reported healthcare utilization data in these populations. Methods A population-based sample of 147 stroke participants with traditional fee-for service Medicare and their family caregivers was examined. Concordance with Medicare claims was examined for stroke participant self-report for Emergency Room visits, hospitalizations, and physician visits for a six-month period after stroke, and for both stroke participant and caregiver reports of receipt of Physical Therapy (PT), Speech and Language Pathology (SLP), or Home Health Agency (HHA) visits. Results Agreement was good for Emergency Room visits (kappa 0.75), hospitalization (kappa 0.70), and physician visits (Prevalence Adjusted Bias Adjusted Kappa [PABAK] 0.69) but more moderate for physical therapy, speech and language therapy, and home health agency visits (kappa 0.56-0.63). Caregiver agreement with Medicare claims was similar to stroke participant agreement. African Americans were less likely to self-report therapy compared to whites (OR 0.32 PT, 0.38 SLP, 0.29 HHA, p < 0.03). Younger stroke participants reported lower levels of Emergency Room visits than claims (OR 0.81, p = 0.001). Conclusion Healthcare utilization after stroke can be reliably assessed from Medicare claims, Stroke participant, or Caregiver report for salient events such as hospitalizations and Emergency Room visits. Self-report and caregiver report appear to be less reliable for identifying use of therapy or home health services. Caution should be used when interpreting disparities based on self-report data alone in these areas.

Population Health, Ethnicity, and Rate of Living Donor Kidney Transplantation.

BACKGROUND: Living donor kidney transplantation has declined in the United States since 2004, but the relationship between population characteristics and rate of living donation is unknown. The goal of our study was to use data on general population health and socioeconomic status to investigate the association with living donation. METHODS: This cross-sectional, ecological study used population health and socioeconomic status data from the CDC Behavioral Risk Factor Surveillance System to investigate the association with living donation. Transplant centers performing 10 or greater kidney transplants reported to the Scientific Registry of Transplant Recipients in 2015 were included. Center rate of living donation was defined as the proportion of all kidney transplants performed at a center that were from living donors. RESULTS: In a linear mixed-effects model, a composite index of health and socioeconomic status factors was negatively associated with living donation, with a rate of living donation that was on average 7.3 percentage points lower among centers in areas with more comorbid disease and poorer socioeconomic status (95% confidence interval, -12.2 to -2.3, P = 0.004). Transplant centers in areas with higher prevalence of minorities had a rate of living donation that was 7.1 percentage points lower than centers with fewer minorities (95% confidence interval, -11.8 to -2.3, P = 0.004). CONCLUSIONS: Center-level variation in living donation was associated with population characteristics and minority prevalence. Further examination of these factors in the context of patient and center-level barriers to living donation is warranted.

Healthcare Utilization and Statin Re-Initiation Among Medicare Beneficiaries With a History of Myocardial Infarction.

BACKGROUND: Contact with the healthcare system represents an opportunity for individuals who discontinue statins to re-initiate treatment. To help identify opportunities for healthcare providers to emphasize the risk-lowering benefits accrued through restarting statins, we determined the types of healthcare utilization associated with statin re-initiation among patients with history of a myocardial infarction. METHODS AND RESULTS: Medicare beneficiaries with a statin pharmacy fill claim within 30 days of hospital discharge for a myocardial infarction in 2007 to 2012 (n=158 795) were followed for 182 days postdischarge to identify treatment discontinuation, defined as 60 continuous days without statins (n=24 461). Re-initiation was defined as a statin fill within 365 days of the discontinuation date (n=13 136). Using a case-crossover study design and each beneficiary as their own control, healthcare utilization during 0 to 14 days before statin re-initiation (case period) was compared with healthcare utilization 30 to 44 days before statin re-initiation (control period). The mean age of beneficiaries was 75.4 years; 52.8% were women and 81.9% were white. For routine healthcare utilization, the odds ratio (95% confidence interval) for statin re-initiation associated with lipid panel testing was 2.65 (1.93-3.65), outpatient primary care was 1.31 (1.23-1.40), and outpatient cardiologist care was 1.38 (1.28-1.50). For acute healthcare utilization, the odds ratio (95% confidence interval) for statin re-initiation associated with emergency department visits was 1.77 (1.31-2.40), coronary heart disease (CHD) hospitalizations was 3.16 (2.41-4.14) and non-coronary heart disease hospitalizations was 1.73 (1.49-2.01). CONCLUSIONS: The weaker association of routine versus acute healthcare utilization with statin re-initiation suggests missed opportunities to reinforce the importance of statin therapy for secondary prevention.

Development of algorithms for identifying fatal cardiovascular disease in Medicare claims.

BACKGROUND: Cause of death is often not available in administrative claims data. OBJECTIVE: To develop claims-based algorithms to identify deaths due to fatal cardiovascular disease (CVD; ie, fatal coronary heart disease [CHD] or stroke), CHD, and stroke. METHODS: Reasons for Geographic and Racial Differences in Stroke (REGARDS) study data were linked with Medicare claims to develop the algorithms. Events adjudicated by REGARDS study investigators were used as the gold standard. Stepwise selection was used to choose predictors from Medicare data for inclusion in the algorithms. C-index, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were used to assess algorithm performance. Net reclassification index (NRI) was used to compare the algorithms with an approach of classifying all deaths within 28 days following hospitalization for myocardial infarction and stroke to be fatal CVD. RESULTS: Data from 2,685 REGARDS participants with linkage to Medicare, who died between 2003 and 2013, were analyzed. The C-index for discriminating fatal CVD from other causes of death was 0.87. Using a cut-point that provided the closest observed-to-predicted number of fatal CVD events, the sensitivity was 0.64, specificity 0.90, PPV 0.65, and NPV 0.90. The algorithms resulted in positive NRIs compared with using deaths within 28 days following hospitalization for myocardial infarction and stroke. Claims-based algorithms for discriminating fatal CHD and fatal stroke performed similarly to fatal CVD. CONCLUSION: The claims-based algorithms developed to discriminate fatal CVD events from other causes of death performed better than the method of using hospital discharge diagnosis codes.

Analysis of cost of component replacement versus entire device replacement during artificial urinary sphincter revision surgery.

AIM: To identify the costs of replacing an entire malfunctioning AUS device versus an individual component at the time of device malfunction. METHODS: Decision analysis was performed by analyzing the costs associated with revising a malfunctioning artificial urinary sphincter using one of two techniques: either individual or entire device replacement. Costs were determined by including actual institutional costs. Model assumptions were based on a summary of published literature and were created based on a time horizon of 0-5 years since the original, primary AUS was placed, and models were created for malfunction of each individual component. Sensitivity analysis was done adjusting for costs of the device and failure rates. RESULTS: Total costs to replace an individual component were $8330 for the pump, $7611 for the cuff, and $5599 for the balloon, while entire device replacement cost $15 069. Over a 5-year time horizon the cost per patient for replacement of a balloon, pump, or cuff were $14 407, $17 491, and $15 212, respectively, versus $18 001 if the entire device was replaced. To be less costly to replace the entire device, balloon, pump, and cuff failure rates would need to be >55%, >25%, or >37.5% during the first 2 years after placement. CONCLUSION: In the event of failure of the artificial urinary sphincter, cost analysis demonstrates that removal and replacement of the entire device is more expensive than replacement of a malfunctioning component at any point up to 5 years after initial AUS placement.

Men Lacking a Caregiver Have Greater Risk of Long-Term Nursing Home Placement After Stroke.

BACKGROUND/OBJECTIVES: Social support can prevent or delay long-term nursing home placement (NHP). The purpose of our study was to understand how the availability of a caregiver can affect NHP after ischemic stroke and how this affects different subgroups differently. DESIGN: Nested cohort study. SETTING: Nationally based REasons for Geographic and Racial Differences in Stroke (REGARDS) study. PARTICIPANTS: Stroke survivors aged 65 to 100 (256 men, 304 women). MEASUREMENTS: Data were from Medicare claims from January 2003 to December 2013 and REGARDS baseline interviews conducted from January 2003 to October 2007. Caregiver support was measured by asking, "If you had a serious illness or became disabled, do you have someone who would be able to provide care for you on an on-going basis?" Diagnosis of ischemic stroke was derived from inpatient claims. NHP was determined using a validated claims algorithm for stays of 100 days and longer. Risk was estimated using Cox regression. RESULTS: Within 5 years of stroke, 119 (21.3%) participants had been placed in a nursing home. Risk of NHP was greater in those lacking available caregivers (log-rank P = .006). After adjustment for covariates, lacking an available caregiver increased the risk of NHP after stroke within 1 year by 70% (hazard ratio (HR) = 1.70, 95% confidence interval (CI) = 0.97-2.99) and within 5 years by 68% (HR = 1.68, 95% CI = 1.10-2.58). The effect of caregiver availability on NHP within 5 years was limited to men (HR = 3.15, 95% CI = 1.49-6.67). CONCLUSION: In men aged 65 and older who have survived an ischemic stroke, the lack of an available caregiver is associated with triple the risk of NHP within 5 years.

Reverse syphilis screening algorithm fails to demonstrate cost effectiveness in persons living with HIV.

Although the reverse syphilis screening algorithm is more efficient than the traditional algorithm, it may lead to exorbitant costs for health systems serving persons living with HIV needing annual syphilis screening. Alternatively, the traditional screening algorithm is cost saving in many scenarios.

Effects of Mobility and Multimorbidity on Inpatient and Postacute Health Care Utilization.

Background: This study examines effects of mobility and multimorbidity on hospitalization and inpatient and postacute care (PAC) facility days among older men. Methods: Prospective study of 1,701 men (mean age 79.3 years) participating in Osteoporotic Fractures in Men (MrOS) Study Year 7 (Y7) examination (2007-2008) linked with their Medicare claims. At Y7, mobility ascertained by usual gait speed and categorized as poor, intermediate, or good. Multimorbidity quantified by applying Elixhauser algorithm to inpatient and outpatient claims and categorized as none, mild-moderate, or high. Hospitalizations and PAC facility stays ascertained during 12 months following Y7. Results: Reduced mobility and greater multimorbidity burden were independently associated with a higher risk of inpatient and PAC facility utilization, after accounting for each other and traditional indicators. Adjusted mean total facility days per year were 1.13 (95% confidence interval [CI] = 0.74-1.40) among men with good mobility increasing to 2.43 (95% CI = 1.17-3.84) among men with poor mobility, and 0.67 (95% CI = 0.38-0.91) among men without multimorbidity increasing to 2.70 (95% CI = 1.58-3.77) among men with high multimorbidity. Men with poor mobility and high multimorbidity had a ninefold increase in mean total facility days per year (5.50, 95% CI = 2.78-10.87) compared with men with good mobility without multimorbidity (0.59, 95% CI = 0.37-0.95). Conclusions: Among older men, mobility limitations and multimorbidity were independent predictors of higher inpatient and PAC utilization after considering each other and conventional predictors. Marked combined effects of reduced mobility and multimorbidity burden may be important to consider in clinical decision-making and planning health care delivery strategies for the growing aged population.

Accuracy of Medicare Claim-based Algorithm to Detect Breast, Prostate, or Lung Cancer Bone Metastases.

BACKGROUND: We had previously developed an algorithm for Medicare claims data to detect bone metastases associated with breast, prostate, or lung cancer. This study was conducted to examine whether this algorithm accurately documents bone metastases on the basis of diagnosis codes in Medicare claims data. METHODS: We obtained data from Medicare claims and electronic medical records of patients 65 years or older with a breast, prostate, or lung cancer diagnosis at a teaching hospital and/or affiliated clinics during 2005 or 2006. We calculated the sensitivity and positive predictive value (PPV) of our algorithm using medical records as the "gold standard." The κ statistic was used to measure agreement between claims and medical record data. RESULTS: The agreement between claims and medical record data for bone metastases among breast, prostate, and lung cancer patients was 0.93, 0.90, and 0.69, respectively. The sensitivities of our algorithm for bone metastasis in patients with breast, prostate, and lung were 96.8% [95% confidence interval (CI)=83.8% to 99.4%], 91.7% (95% CI=78.2% to 97.1%), and 74.1% (95% CI=55.3% to 86.8%), respectively; and the PPVs were 90.9% (95% CI=76.4% to 96.9%), 91.7% (95% CI=78.2% to 97.1%), and 71.4% (95% CI=52.9% to 84.8%), respectively. CONCLUSIONS: The algorithm for detecting bone metastases in claims data had high sensitivity and PPV for breast and prostate cancer patients. Sensitivity and PPV were lower but still moderate for lung cancer patients.