Pharmacist-driven outreach initiative to increase prescribing of sodium-glucose cotransporter-2 inhibitors in eligible VHA patients with chronic kidney disease: a study protocol.

BACKGROUND: Patients with chronic kidney disease (CKD) are at increased risk for multiple adverse events, several of which have been proven to be less likely with the use of sodium-glucose cotransporter-2 inhibitors (SGLT2i). As a result, guidelines now recommend SGLT2i be given to those with mild to moderate CKD and type 2 diabetes. The objective of this study is to evaluate if a pharmacist-driven SGLT2i prescribing initiative among eligible patients with CKD and diabetes within the VA could more rapidly improve the adoption of SGLT2i via a pragmatic approach aligned with learning health systems. METHODS: Eligible patients will be identified through an established VA diabetes dashboard. Veterans with an odd social security number (SSN), which is effectively a random number, will be the intervention group. Those with even SSNs will serve as the control while awaiting a second iteration of the same interventional program. The intervention will be implemented in a rolling fashion across one Veterans Integrated Service Network. Our primary outcome is initiation of an SGLT2i. Secondary outcomes will include medication adherence and safety-related outcomes. DISCUSSION: This project tests the impact of a pharmacist-driven medication outreach initiative as a strategy to accelerate initiation of SGLT2i. The results of this work will not only illustrate the effectiveness of this strategy for SGLT2is but may also have implications for increasing other guideline-concordant care. Furthermore, the utilization of SSNs to select Veterans for the first wave of this program has created a pseudo-randomized interventional trial supporting a pragmatic learning health system approach. TRIAL REGISTRATION: ISRCTN12374636.

Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk.

The American Society of Bone and Mineral Research (ASBMR) Professional Practice Committee charged an ASBMR Task Force on Clinical Algorithms for Fracture Risk to review the evidence on whether current approaches for differentiating fracture risk based on race and ethnicity are necessary and valid. To help address these charges, we performed a systematic literature review investigating performance of calculators for predicting incident fractures within and across race and ethnicity groups in middle-aged and older US adults. We included English-language, controlled or prospective cohort studies that enrolled US adults aged >40 years and reported tool performance predicting incident fractures within individual race and ethnicity groups for up to 10 years. From 4838 identified references, six reports met eligibility criteria, all in women. Just three, all from one study, included results in non-white individuals. In these three reports, non-white women experienced relatively few major osteoporotic fractures (MOFs), especially hip fractures, and risk thresholds for predicting fractures in non-white women were derived from risks in the overall, predominantly white study population. One report suggested the Fracture Risk Assessment Tool (FRAX) without bone mineral density (BMD) overestimated hip fracture similarly across race and ethnicity groups (black, Hispanic, American Indian, Asian, white) but overestimated MOF more in non-white than White women. However, these three reports were inconclusive regarding whether discrimination of FRAX or the Garvan calculator without BMD or of FRAX with BMD for MOF or hip fracture differed between white versus black women. This uncertainty was at least partly due to imprecise hip fracture estimates in black women. No reports examined whether ratios of observed to predicted hip fracture risks within each race or ethnicity group varied across levels of predicted hip fracture risk. © 2023 The Authors. Journal of Bone and Mineral Research published by Wiley Periodicals LLC on behalf of American Society for Bone and Mineral Research (ASBMR). This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.

Incremental Health Care Costs of Self-Reported Functional Impairments and Phenotypic Frailty in Community-Dwelling Older Adults : A Prospective Cohort Study.

BACKGROUND: Health care systems need better strategies to identify older adults at risk for costly care to select target populations for interventions to reduce health care burden. OBJECTIVE: To determine whether self-reported functional impairments and phenotypic frailty are associated with incremental health care costs after accounting for claims-based predictors. DESIGN: Prospective cohort study. SETTING: Index examinations (2002 to 2011) of 4 prospective cohort studies linked with Medicare claims. PARTICIPANTS: 8165 community-dwelling fee-for-service beneficiaries (4318 women, 3847 men). MEASUREMENTS: Weighted (Centers for Medicare & Medicaid Services Hierarchical Condition Category index) and unweighted (count of conditions) multimorbidity and frailty indicators derived from claims. Self-reported functional impairments (difficulty performing 4 activities of daily living) and frailty phenotype (operationalized using 5 components) derived from cohort data. Health care costs ascertained for 36 months after index examinations. RESULTS: Average annualized costs (2020 U.S. dollars) were $13 906 among women and $14 598 among men. After accounting for claims-based indicators, average incremental costs of functional impairments versus no impairment in women (men) were $3328 ($2354) for 1 impairment increasing to $7330 ($11 760) for 4 impairments; average incremental costs of phenotypic frailty versus robust in women (men) were $8532 ($6172). Mean predicted costs adjusted for claims-based indicators in women (men) varied by both functional impairments and the frailty phenotype ranging from $8124 ($11 831) among robust persons without impairments to $18 792 ($24 713) among frail persons with 4 impairments. Compared with the model with claims-derived indicators alone, this model resulted in more accurate cost prediction for persons with multiple impairments or phenotypic frailty. LIMITATION: Cost data limited to participants enrolled in the Medicare fee-for-service program. CONCLUSION: Self-reported functional impairments and phenotypic frailty are associated with higher subsequent health care expenditures in community-dwelling beneficiaries after accounting for several claims-based indicators of costs. PRIMARY FUNDING SOURCE: National Institutes of Health.

Frailty Phenotype and Healthcare Costs and Utilization in Older Men.

OBJECTIVES: To determine the association of the frailty phenotype with subsequent healthcare costs and utilization. DESIGN: Prospective cohort study (Osteoporotic Fracture in Men [MrOS]). SETTING: Six US sites. PARTICIPANTS: A total of 1,514 community-dwelling men (mean age = 79.3 years) participating in the MrOS Year 7 (Y7) examination linked with their Medicare claims data. MEASUREMENTS: At Y7, the frailty phenotype was operationalized using five components and categorized as robust, pre-frail, or frail. Multimorbidity and a frailty indicator (approximating the deficit accumulation index) were derived from claims data. Functional limitations were assessed by asking about difficulty performing instrumental activities of daily living. Total direct healthcare costs and utilization were ascertained during 36 months following Y7. RESULTS: Mean of total annualized costs (2018 dollars) was $5,707 (standard deviation [SD] = 8,800) among robust, $8,964 (SD = 18,156) among pre-frail, and $20,027 (SD = 27,419) among frail men. Compared with robust men, frail men (cost ratio [CR] = 2.35; 95% confidence interval [CI] = 1.88-2.93) and pre-frail men (CR = 1.28; 95% CI = 1.11-1.48) incurred greater total costs after adjustment for demographics, multimorbidity, and cognitive function. Associations of phenotypic pre-frailty and frailty with higher total costs were somewhat attenuated but persisted after further consideration of functional limitations and a claims-based frailty indicator. Each individual frailty component was also associated with higher total costs. Frail vs robust men had higher odds of hospitalization (odds ratio [OR] = 2.62; 95% CI = 1.75-3.91) and skilled nursing facility (SNF) stay (OR = 3.36; 95% CI = 1.83-6.20). A smaller but significant effect of the pre-frail category on SNF stay was present. CONCLUSION: Phenotypic pre-frailty and frailty were associated with higher subsequent total healthcare costs in older community-dwelling men after accounting for a claims-based frailty indicator, functional limitations, multimorbidity, cognitive impairment, and demographics. Assessment of the frailty phenotype or individual components such as slowness may improve identification of older community-dwelling adults at risk for costly extensive care.

Abdominal aortic calcification (AAC) and ankle-brachial index (ABI) predict health care costs and utilization in older men, independent of prevalent clinical cardiovascular disease and each other.

BACKGROUND AND AIMS: Abdominal aortic calcification (AAC) and low ankle-brachial index (ABI) are markers of multisite atherosclerosis. We sought to estimate their associations in older men with health care costs and utilization adjusted for each other, and after accounting for CVD risk factors and prevalent CVD diagnoses. METHODS: This was an observational cohort study of 2393 community-dwelling men (mean age 73.6 years) enrolled in the Osteoporotic Fractures in Men (MrOS) study and U.S. Medicare Fee for Service (FFS). AAC was scored on baseline lateral lumbar spine X-rays using a 24-point scale. ABI was measured as the lowest ratio of arm to right or left ankle blood pressure. Health care costs, hospital stays, and SNF stays were identified from Medicare FFS claims over 36 months following the baseline visit. RESULTS: Men with AAC score ≥9 (n = 519 [21.7% of analytic cohort]) had higher annualized total health care costs of $1473 (95% C.I. 293, 2654, 2017 U S. dollars) compared to those with AAC score 0-1, after multivariable adjustment. Men with ABI <0.90 (n = 154 [6.4% of analytic cohort]) had higher annualized total health care costs of $2705 (95% CI 634, 4776) compared to men with normal ABI (≥0.9 and < 1.4), after multivariable adjustment. CONCLUSIONS: High levels of AAC and low ABI in older men are associated with higher subsequent health care costs, after accounting for clinical CVD risk factors, prevalent CVD diagnoses, and each other. Further investigations of whether preventing progression of peripheral vascular disease and calcification reduces subsequent health care costs are warranted.

Association of sleep-disordered breathing with total healthcare costs and utilization in older men: the Outcomes of Sleep Disorders in Older Men (MrOS Sleep) study.

STUDY OBJECTIVES: To determine the associations of sleep-disordered breathing (SDB) with subsequent healthcare costs and utilization including inpatient and post-acute care facility stays among community-dwelling older men. METHODS: Participants were 1,316 men (mean age 76.1 [SD = 5.7] years) in the Outcomes of Sleep Disorders in Older Men (MrOS sleep) study (from December 2003 to March 2005), who were enrolled in a Medicare Fee-For-Service plan. Primary SDB measures including apnea hypopnea index (AHI) and oxygen desaturation index (ODI) were collected using in-home level 2 polysomnography. Incident healthcare costs and utilization were determined from claims data in the subsequent 3-year period post-MrOS sleep visit. RESULTS: Five hundred and twenty-nine (40.2%) men had at least one hospitalization in the 3-year period. Compared with those without sleep apnea (AHI < 5/hour), men with moderate to severe sleep apnea (AHI ≥ 15/hour) had a higher odds of all-cause hospitalization (odds ratio [OR] adjusted for age and site 1.43, 95% confidence interval [CI]: 1.07-1.90). This association was slightly attenuated after further adjustment for traditional prognostic factors including education, body mass index, comorbid medical conditions, and health status (OR = 1.36; 95% CI: 1.01-1.83). Similar associations were observed for ODI. However, measures of SDB were not related to subsequent healthcare costs (total or outpatient) or odds of post-acute skilled nursing facility stay. CONCLUSIONS: Older men with SDB have an increased risk of hospitalization, not entirely explained by the greater prevalence of comorbid conditions, but not higher subsequent total healthcare costs. These findings indicate a need to evaluate the impact of SDB treatment on subsequent healthcare utilization.

Veterans Affairs Providers' Beliefs About the Contributors to and Responsibility for Reducing Racial and Ethnic Health Care Disparities.

Purpose: Providers' beliefs about the causes of disparities and the entities responsible for addressing these disparities are important in designing disparity-reduction interventions aimed at providers. This secondary analysis of a larger study is aimed at evaluating perceptions of providers regarding the underlying causes of racial health care disparities and their views of who is responsible for reducing them. Methods: We surveyed 232 providers at 3 Veterans Affairs (VA) Medical Centers. Results: Sixty-nine percent of participants believed that minority patients in the United States receive lower quality health care. Most participants (64%) attributed differences in quality of care for minority patients in the VA health care system primarily to patients' socioeconomic status, followed by patient behavior (43%) and provider behaviors (33%). In contrast, most participants believed that the VA and other health care organizations (75%) and providers (70%) bear the responsibility for reducing disparities, while less than half (45%) believed that patients were responsible. Among provider-level contributors to disparities, providers' poor communication was the most widely endorsed (48%), while differences in prescribing of medications (13%) and in provision of specialty referrals (12%) were the least endorsed. Conclusions: Although most providers in the study did not believe that providers contribute to disparities, they do believe that they, along with health care organizations, have the responsibility to help reduce them. Interventions might focus on directly offering providers concrete ways that they can help reduce disparities, rather than focusing on simply raising awareness about disparities and their contributions to them.

Health Care Utilization and Costs of Veterans Evaluated for Traumatic Brain Injury Through Telehealth.

Background: Mild traumatic brain injury (TBI) is prevalent among Afghanistan (Operation Enduring Freedom [OEF]) and Iraq (Operation Iraqi Freedom [OIF]) Veterans. With clinical video telehealth (CVT), Veterans screening positive for potential deployment-related TBI can receive comprehensive TBI evaluations by providers at specialized centers through interactive video communication.Introduction: We examined health care utilization and costs for Veterans during the 12 months before and after being evaluated through CVT versus in-person.Materials and Methods: We examined OEF/OIF Veterans receiving comprehensive evaluations at specialized Veterans Affairs facilities from October 2012 to September 2014. Veterans evaluated through CVT and in-person at the same facilities were included. We used a difference-in-difference analysis with propensity score weighted regression models to examine health care utilization and costs between TBI evaluation groups.Results: There were 554 Veterans with comprehensive evaluations through CVT (380 with and 174 without confirmed TBI) and 7,159 with in-person evaluations (4,899 with and 2,260 without confirmed TBI). Veterans in the in-person group with confirmed TBI had similar increases in outpatient, inpatient, and total health care costs as Veterans who had TBI confirmed through CVT. However, Veterans with a confirmed TBI evaluated in-person had greater increases in rehabilitation and other specialty costs.Discussion: When visits are in-person, Veterans may have opportunities to discuss more issues and concerns, whether TBI-related or not. Thus, providers might make more referrals to rehabilitation and specialty care after in-person visits.Conclusion: Veterans receiving in-person evaluations who were diagnosed with TBI had similar increases in health care costs as Veterans with TBI confirmed through evaluations through CVT.

Depressive Symptoms and Total Healthcare Costs: Roles of Functional Limitations and Multimorbidity.

OBJECTIVES: Depressive symptoms can be both a cause and a consequence of functional limitations and medical conditions. Our objectives were to determine the association of depressive symptoms with subsequent total healthcare costs in older women after accounting for functional limitations and multimorbidity. DESIGN: Prospective cohort study (Study of Osteoporotic Fractures [SOF]). SETTING: Four US sites. PARTICIPANTS: A total of 2508 community-dwelling women (mean age = 79.4 years) participating in the SOF year 10 (Y10) examination linked with their Medicare claims data. MEASUREMENTS: At Y10, depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS) and functional limitations were assessed by number (range = 0-5) of impairments in performing instrumental activities of daily living. Multimorbidity was ascertained by the Elixhauser method using claims data for the 12 months preceding the Y10 examination. Total direct healthcare costs, outpatient costs, acute hospital stays, and skilled nursing facility during the 12 months following the Y10 examination were ascertained from claims data. RESULTS: Annualized mean (SD) total healthcare costs were $4654 ($9075) in those with little or no depressive symptoms (GDS score = 0-1), $7871 ($14 534) in those with mild depressive symptoms (GDS score = 2-5), and $9010 ($15 578) in those with moderate to severe depressive symptoms (GDS score = 6 or more). After adjustment for age, site, self-reported functional limitations, and multimorbidity, the magnitudes of these incremental costs were partially attenuated (cost ratio = 1.34 [95% confidence interval {CI} = 1.14-1.59] for those with mild depressive symptoms, and cost ratio = 1.29 [95% CI = 0.99-1.69] for those with moderate to severe depressive symptoms vs women with little or no depressive symptoms). CONCLUSION: Depressive symptoms were associated with higher subsequent healthcare costs attributable, in part, to greater functional limitations and multimorbidity among those with symptoms. Importantly, even mild depressive symptoms were associated with higher healthcare costs. J Am Geriatr Soc 67:1596-1603, 2019.

The Association Between Objectively Measured Physical Activity and Subsequent Health Care Utilization in Older Men.

BACKGROUND: To examine the associations between objective physical activity measures and subsequent health care utilization. METHODS: We studied 1,283 men (mean age 79.1 years, SD 5.3) participating in the Osteoporotic Fractures in Men Study. Participants wore a SenseWear® Pro Armband monitor for 1 week. Data was summarized as daily (i) step counts, (ii) total energy expenditure, (iii) active energy expenditure, and (iv) activity time (sedentary, ≥ light, ≥ moderate). The outcome measures of 1-year hospitalizations/duration of stay from Medicare data were analyzed with a two-part hurdle model. Covariates included age, clinical center, body mass index, marital status, depressive symptoms, medical conditions, cognitive function, and prior hospitalization. RESULTS: Each 1 SD = 3,092 step increase in daily step count was associated with a 34% (95% confidence interval [CI]: 19%-46%) lower odds of hospitalization in base model (age and center) and 21% (95% CI: 4%-35%) lower odds of hospitalization in fully adjusted models. Similar but smaller associations held for other physical activity measures, but these associations were not significant in fully adjusted models. Among those hospitalized, higher step count was associated with shorter total duration of acute/postacute care stays in the base model only. There was a fourfold significant difference (from model-based estimates) in predicted care days comparing those with 2,000 versus 10,000 daily steps in the base model, but only a twofold difference (not significant) in the full model. CONCLUSION: Daily step count is an easily determined measure of physical activity that may be useful in assessment of future health care burden in older men.

Communicating with providers about racial healthcare disparities: The role of providers' prior beliefs on their receptivity to different narrative frames.

OBJECTIVE: Evaluate narratives aimed at motivating providers with different pre-existing beliefs to address racial healthcare disparities. METHODS: Survey experiment with 280 providers. Providers were classified as high or low in attributing disparities to providers (HPA versus LPA) and were randomly assigned to a non-narrative control or 1 of 2 narratives: "Provider Success" (provider successfully resolved problem involving Black patient) and "Provider Bias" (Black patient experienced racial bias, which remained unresolved). Participants' reactions to narratives (including identification with narrative) and likelihood of participating in disparities-reduction activities were immediately assessed. Four weeks later, participation in those activities was assessed, including self-reported participation in a disparities-reduction training course (primary outcome). RESULTS: Participation in training was higher among providers randomized to the Provider Success narrative compared to Provider Bias or Control. LPA participants had higher identification with Provider Success than Provider Bias narratives, whereas among HPA participants, differences in identification between the narratives were not significant. CONCLUSIONS: Provider Success narratives led to greater participation in training than Provider Bias narratives, although providers' pre-existing beliefs influenced the narrative they identified with. PRACTICE IMPLICATIONS: Provider Success narratives may be more effective at motivating providers to address disparities than Provider Bias narratives, though more research is needed.

Evidence Review-Social Determinants of Health for Veterans.

BACKGROUND: Veterans Health Administration (VHA) is committed to providing high-quality care and addressing health disparities for vulnerable Veterans. To meet these goals, VA policymakers need guidance on how to address social determinants in operations planning and day-to-day clinical care for Veterans. METHOD: MEDLINE (OVID), CINAHL, PsycINFO, and Sociological Abstracts were searched from inception to January 2017. Additional articles were suggested by peer reviewers and/or found through search of work associated with US and VA cohorts. Eligible articles compared Veterans vs non-Veterans, and/or Veterans engaged with those not engaged in VA healthcare. Our evidence maps summarized study characteristics, social determinant(s) addressed, and whether health behaviors, health services utilization, and/or health outcomes were examined. Qualitative syntheses and quality assessment were performed for articles on rurality, trauma exposure, and sexual orientation. RESULTS: We screened 7242 citations and found 131 eligible articles-99 compared Veterans vs non-Veterans, and 40 included engaged vs non-engaged Veterans. Most articles were cross-sectional and addressed socioeconomic factors (e.g., education and income). Fewer articles addressed rurality (N = 20), trauma exposure (N = 17), or sexual orientation (N = 2); none examined gender identity. We found no differences in rural residence between Veterans and non-Veterans, nor between engaged and non-engaged Veterans (moderate strength evidence). There was insufficient evidence for role of rurality in health behaviors, health services utilization, or health outcomes. Trauma exposures, including from events preceding military service, were more prevalent for Veterans vs non-Veterans and for engaged vs non-engaged Veterans (low-strength evidence); exposures were associated with smoking (low-strength evidence). DISCUSSION: Little published literature exists on some emerging social determinants. We found no differences in rural residence between our groups of interest, but trauma exposure was higher in Veterans (vs non-Veterans) and engaged (vs non-engaged). We recommend consistent measures for social determinants, clear conceptual frameworks, and analytic strategies that account for the complex relationships between social determinants and health.

Frailty Phenotype and Healthcare Costs and Utilization in Older Women.

OBJECTIVES: To determine the association of the frailty phenotype with subsequent healthcare costs and utilization. DESIGN: Prospective cohort study (Study of Osteoporotic Fractures (SOF)). SETTING: Four U.S. sites. PARTICIPANTS: Community-dwelling women (mean age 80.2) participating in SOF Year 10 (Y10) examination linked with their Medicare claims data (N=2,150). MEASUREMENTS: At Y10, frailty phenotype defined using criteria similar to those used in the Cardiovascular Health Study frailty phenotype and categorized as robust, intermediate stage, or frail. Participant multimorbidity burden ascertained using claims data. Functional limitations assessed by asking about difficulty performing instrumental activities of daily living. Total direct healthcare costs and utilization ascertained during 12 months after Y10. RESULTS: Mean total annualized cost±standard deviation (2014 dollars) was $3,781±6,920 for robust women, $6,632±12,452 for intermediate stage women, and $10,755 ± 16,589 for frail women. After adjustment for age, site, multimorbidity burden, and cognition, frail women had greater mean total (cost ratio (CR)=1.91, 95% confidence interval (CI)=1.59-2.31) and outpatient (CR=1.55, 95% CI=1.36-1.78) costs than robust women and greater odds of hospitalization (odds ratio (OR)=2.05, 95% CI=1.47-2.87) and a skilled nursing facility stay (OR=3.85, 95% CI=1.88-7.88). There were smaller but significant effects of the intermediate stage category on these outcomes. Individual frailty components (shrinking, poor energy, slowness, low physical activity) were also each associated with higher total costs. Functional limitations partially mediated the association between the frailty phenotype and total costs (CR further adjusted for self-reported limitations=1.32, 95% CI=1.07-1.63 for frail vs robust; CR=1.35, 95% CI=1.18-1.55 for intermediate stage vs robust women). CONCLUSION: Intermediate stage and frail older community-dwelling women had higher subsequent total healthcare costs and utilization after accounting for multimorbidity and functional limitations. Frailty phenotype assessment may improve identification of older adults likely to require costly, extensive care.

Associations of recent weight loss with health care costs and utilization among older women.

The association of weight loss with health care costs among older women is uncertain. Our study aim was to examine the association of objectively measured weight change with subsequent total health care (THC) costs and other health care utilization among older women. Our study population included 2,083 women (mean age 80.2 years) enrolled in the Study of Osteoporotic Fractures and U.S. Medicare Fee for Service. Weight loss and gain were defined, respectively, as ≥5% decrease and ≥5% increase in body weight, and weight maintenance as <5% change in body weight over a period of 4.5 years. THC costs, outpatient costs, hospitalizations, and skilled nursing facility [SNF] utilization were estimated from Medicare claims for 1 year after the period during which weight change was measured. The associations of weight change with THC and outpatient costs were estimated using generalized linear models with gamma variance and log link functions, and with hospitalizations and SNF utilization using logistic models. Adjusted for age and current body mass index (BMI), weight loss compared with weight maintenance was associated with a 35% increase in THC costs ($2148 [95% CI, 745 to 3552], 2014 U.S. dollars), a 15% increase in outpatient costs ($329 [95% C.I. -1 to 660]), and odds ratios of 1.42 (95% CI, 1.14 to 1.76) for ≥1 hospital stay and 1.45 (95% CI, 1.03 to 2.03) for ≥1 SNF stay. These associations did not vary by BMI category. After additional adjustment for multi-morbidity and functional status, associations of weight loss with all four outcomes were no longer significant. In conclusion, ≥5% weight loss among older women is not associated with increased THC and outpatient costs, hospitalization, and SNF utilization, irrespective of BMI category after accounting for multi-morbidity and impaired functional status that accompany weight loss.

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.

Three Year Trends in Veterans Health Administration Utilization and Costs after Traumatic Brain Injury Screening among Veterans with Mild Traumatic Brain Injury.

Examination of trends in Veterans Health Administration (VHA) healthcare utilization and costs among veterans with mild traumatic brain injury (mTBI) is needed to inform policy, resource allocation, and treatment planning. The objective of this study was to assess the patterns of VHA healthcare utilization and costs in the 3 years following TBI screening among veterans with mTBI, compared with veterans without TBI. A retrospective cohort study of veterans who underwent TBI screening in fiscal year 2010 was conducted. We used VHA healthcare utilization and associated costs by categories of care to compare veterans diagnosed with mTBI (n = 7318) with those who screened negative (n = 75,294) and those who screened positive but had TBI ruled out (n = 3324). Utilization and costs were greatest in year 1, dropped in year 2, and then leveled off. mTBI diagnosis was associated with high rates of utilization. Each year, healthcare costs for those with mTBI were two to three times higher than for those who screened negative, and 20-25% higher than for those who screened positive but had TBI ruled out. A significant proportion of healthcare use and costs for veterans with mTBI were associated with mental health service utilization. The relatively high rate of VHA utilization and costs associated with mTBI over time demonstrates the importance of long-term planning to meet these veterans' needs. Identifying and engaging patients with mTBI in effective mental health treatments should be considered a critical component of treatment planning.

Cystatin C and the Risk of Frailty and Mortality in Older Men.

BACKGROUND: This study examines the association between cystatin C (cysC) levels and risks of progression of frailty status or death in older men. METHODS: Prospective study of 2,613 men without overt frailty aged 67 years and older enrolled in the MrOS ancillary sleep study. Baseline measurements included serum cysC, serum creatinine, and frailty status. Repeat frailty status, performed an average of 3.4 years later, was assessed as an ordinal outcome of robust, intermediate stage (prefrail), frail or dead. RESULTS: Mean age was 75.7 years. Men with higher cysC were older and had a higher comorbidity burden. After adjusting for age, clinical site, and race, higher cysC was associated with nearly twofold greater odds of being classified as intermediate stage versus robust (OR quartile 4 vs 1; 1.82, 95% confidence interval [CI] 1.35-2.45), a threefold greater odds of frailty versus robust (OR quartile 4 vs 1; 3.13, 95% CI 2.03-4.82), and a more than fivefold greater odds of death versus robust (OR quartile 4 vs 1; 5.48, 95% CI 2.98-10.08). Results were similar for cysC-based estimated glomerular filtration rate (eGFR). This relationship was attenuated but persisted after adjusting for additional potential confounders including baseline frailty status, body mass index, smoking status, comorbidity burden, self-reported disability, and serum albumin. In contrast, neither serum creatinine nor creatinine-based eGFR was associated in a graded manner with higher risks of development of frailty or death. CONCLUSIONS: In this cohort of older men without overt frailty, higher cysC and cysC-based eGFR, but not creatinine or creatinine-based estimates of GFR, were associated with increased risks of frailty or death. These findings suggest that higher cysC level may be a promising biomarker for unsuccessful aging as manifested by increased risks of frailty and death.

Does Co-Occurring Traumatic Brain Injury Affect VHA Outpatient Health Service Utilization and Associated Costs Among Veterans With Posttraumatic Stress Disorder? An Examination Based on VHA Administrative Data.

OBJECTIVE: To examine whether a traumatic brain injury (TBI) diagnosis was associated with increased outpatient service utilization and associated costs among Iraq and Afghanistan (Operation Enduring Freedom [OEF]/Operation Iraqi Freedom [OIF]/Operation New Dawn [OND]) War veterans with posttraumatic stress disorder (PTSD) who used Veterans Health Affairs (VHA) care in a 1-year period. SETTING: N/A. PARTICIPANTS: OEF/OIF/OND veterans with a diagnosis of PTSD and/or TBI who utilized VHA services during fiscal year 2012 (N = 164 644). DESIGN: Observational study using VHA administrative data. MAIN MEASURES: Outpatient VHA utilization (total and by category of care) and associated costs (total and by VA Health Economic Resource Center cost category). RESULTS: Veterans in the comorbid PTSD/TBI group had significantly more total outpatient appointment than veterans with PTSD but no TBI. This pattern held for all categories of care except orthopedics. The comorbid TBI/PTSD group ($5769) incurred greater median outpatient healthcare costs than the PTSD ($3168) or TBI-alone ($2815) group. CONCLUSIONS: Co-occurring TBI increases the already high level of healthcare utilization by veterans with PTSD, suggesting that OEF/OIF/OND veterans with comorbid PTSD/TBI have complex and wide-ranging healthcare needs.

Slow Gait Speed and Risk of Long-Term Nursing Home Residence in Older Women, Adjusting for Competing Risk of Mortality: Results from the Study of Osteoporotic Fractures.

OBJECTIVES: To determine whether slow gait speed increases the risk of costly long-term nursing home residence when accounting for death as a competing risk remains unknown. DESIGN: Longitudinal cohort study using proportional hazards models to predict long-term nursing home residence and subdistribution models with death as a competing risk. SETTING: Community-based prospective cohort study. PARTICIPANTS: Older women (mean age 76.3) participating in the Study of Osteoporotic Fractures who were also enrolled in Medicare fee-for-service plans (N = 3,755). MEASUREMENTS: Gait speed was measured on a straight 6-m course and averaged over two trials. Long-term nursing home residence was defined using a validated algorithm based on Medicare Part B claims for nursing home-related care. RESULTS: Participants were followed until long-term nursing home residence, disenrollment from Medicare plan, death, or December 31, 2010. Over the follow-up period (median 11 years), 881 participants (23%) experienced long-term nursing home residence, and 1,013 (27%) died before experiencing this outcome. Slow walkers (55% of participants with gait speed <1 m/s) were significantly more likely than fast walkers to reside in a nursing home long-term (adjusted hazards ratio (aHR) = 1.79, 95% confidence interval (CI) = 1.54-2.09). Associations were attenuated in subdistribution models (aHR = 1.52, 95% CI = 1.30-1.77) but remained statistically significant. CONCLUSION: Older community-dwelling women with slow gait speed are more likely to experience long-term nursing home residence, as well as mortality without long-term residence. Ignoring the competing mortality risk may overestimate long-term care needs and costs.

Estimating True Resource Costs of Outpatient Care for Medicare Beneficiaries: Standardized Costs versus Medicare Payments and Charges.

OBJECTIVE: To compare standardized estimates of the true resource costs of outpatient health care to the allowable and billed charges for that care among Medicare Fee for Service (FFS) beneficiaries. DATA SOURCES/STUDY SETTING: Medicare Carrier and Outpatient Standard Analytic (SAF) files linked to participant data in the Study of Osteoporotic Fractures from 2004 through 2010. Participants were 3,435 female Medicare Fee for Service enrollees age 80 and older recruited in one rural and three metropolitan areas of the United States. STUDY DESIGN: We estimated standardized costs for Carrier and OP-SAF claims using Medicare payment weights, and compared them to allowable and billed charges for those claims. We used semilog linear regression to estimate the associations of age, race, bone mineral density, prior fracture, and geriatric depression scale score with allowable charges, billed charges, and standardized costs. RESULTS: Estimated associations of patient characteristics with standardized costs were not statistically different than the associations with allowable charges (chi-squared [χ(2)]: 8.6, p = .13) but were different from associations with billed charges (χ(2): 25.5, p < .001). CONCLUSION: Allowable charges for outpatient utilization in the Carrier file and OP-SAF may be good surrogates for standardized costs that reflect patient medical and surgical acuity.