Total and Out-of-Pocket Costs Surrounding Emergency Department Care Among Older Adults Enrolled in Traditional Medicare and Medicare Advantage.

STUDY OBJECTIVE: We sought to quantify differences in total and out-of-pocket health care costs associated with treat-and-release emergency department (ED) visits among older adults with traditional Medicare and Medicare Advantage. METHODS: We conducted a repeated cross-sectional analysis of treat-and-release ED visits using 2015 to 2020 data from the Medicare Current Beneficiary Survey. We measured total and out-of-pocket health care spending during 3 time periods: the 30 days prior to the ED visit, the treat-and-release ED visit itself, and the 30 days after the ED visit. Stratified by traditional Medicare or Medicare Advantage status, we determined median total costs and the proportion of costs that were out-of-pocket. RESULTS: Among the 5,011 ED visits by those enrolled in traditional Medicare, the weighted median total (and % out-of-pocket) costs were $881.95 (13.3%) for the 30 days prior to the ED visit, $419.70 (10.1%) for the ED visit, and $809.00 (13.8%) for the 30 days after the ED visit. For the 2,595 ED visits by those enrolled in Medicare Advantage, the weighted median total (and % out-of-pocket) costs were $484.92 (24.0%) for the 30 days prior to the ED visit, $216.66 (21.9%) for the ED visit, and $439.13 (22.4%) for the 30 days after the ED visit. CONCLUSION: Older adults insured by Medicare Advantage incur lower total health care costs and face similar overall out-of-pocket expenses in the time period surrounding emergency care. However, a higher proportion of expenses are out-of-pocket compared with those insured by traditional Medicare, providing evidence of greater cost sharing for Medicare Advantage plan enrollees.

Effects of Implementation of a Supervised Walking Program in Veterans Affairs Hospitals : A Stepped-Wedge, Cluster Randomized Trial.

BACKGROUND: In trials, hospital walking programs have been shown to improve functional ability after discharge, but little evidence exists about their effectiveness under routine practice conditions. OBJECTIVE: To evaluate the effect of implementation of a supervised walking program known as STRIDE (AssiSTed EaRly MobIlity for HospitalizeD VEterans) on discharge to a skilled-nursing facility (SNF), length of stay (LOS), and inpatient falls. DESIGN: Stepped-wedge, cluster randomized trial. (ClinicalTrials.gov: NCT03300336). SETTING: 8 Veterans Affairs hospitals from 20 August 2017 to 19 August 2019. PATIENTS: Analyses included hospitalizations involving patients aged 60 years or older who were community dwelling and admitted for 2 or more days to a participating medicine ward. INTERVENTION: Hospitals were randomly assigned in 2 stratified blocks to a launch date for STRIDE. All hospitals received implementation support according to the Replicating Effective Programs framework. MEASUREMENTS: The prespecified primary outcomes were discharge to a SNF and hospital LOS, and having 1 or more inpatient falls was exploratory. Generalized linear mixed models were fit to account for clustering of patients within hospitals and included patient-level covariates. RESULTS: Patients in pre-STRIDE time periods (n = 6722) were similar to post-STRIDE time periods (n = 6141). The proportion of patients with any documented walk during a potentially eligible hospitalization ranged from 0.6% to 22.7% per hospital. The estimated rates of discharge to a SNF were 13% pre-STRIDE and 8% post-STRIDE. In adjusted models, odds of discharge to a SNF were lower among eligible patients hospitalized in post-STRIDE time periods (odds ratio [OR], 0.6 [95% CI, 0.5 to 0.8]) compared with pre-STRIDE. Findings were robust to sensitivity analyses. There were no differences in LOS (rate ratio, 1.0 [CI, 0.9 to 1.1]) or having an inpatient fall (OR, 0.8 [CI, 0.5 to 1.1]). LIMITATION: Direct program reach was low. CONCLUSION: Although the reach was limited and variable, hospitalizations occurring during the STRIDE hospital walking program implementation period had lower odds of discharge to a SNF, with no change in hospital LOS or inpatient falls. PRIMARY FUNDING SOURCE: U.S. Department of Veterans Affairs Quality Enhancement Research Initiative (Optimizing Function and Independence QUERI).

Self-Organization of Interprofessional Staff to Improve Mobility of Hospitalized Patients with STRIDE: a Complexity Science-Informed Qualitative Study.

BACKGROUND: Inpatient mobility programs can help older adults maintain function during hospitalization. Changing hospital practice can be complex and require engagement of various staff levels and disciplines; however, we know little about how interprofessional teams organize around implementing such interventions. Complexity science can inform approaches to understanding and improving multidisciplinary collaboration to implement clinical programs. OBJECTIVE: To examine, through a complexity science lens, how clinical staff's understanding about roles in promoting inpatient mobility evolved during implementation of the STRIDE (assiSTed eaRly mobIlity for hospitalizeD older vEterans) hospital mobility program. DESIGN: Qualitative study using semi-structured interviews. PARTICIPANTS: Ninety-two clinical staff at eight Veterans Affairs hospitals. INTERVENTIONS: STRIDE is a supervised walking program for hospitalized older adults designed to maintain patients' mobility and function. APPROACH: We interviewed key staff involved in inpatient mobility efforts at each STRIDE site in pre- and post-implementation periods. Interviews elicited staff's perception of complexity-science aspects of inpatient mobility teams (e.g., roles over time, team composition). We analyzed data using complexity science-informed qualitative content analysis. KEY RESULTS: We identified three key themes related to patterns of self-organization: (1) individuals outside of the "core" STRIDE team voluntarily assumed roles as STRIDE advocates, (2) leader-champions adapted their engagement level to match local implementation team needs during implementation, and (3) continued leadership support and physical therapy involvement were key factors for sustainment. CONCLUSIONS: Staff self-organized around implementation of a new clinical program in ways that were responsive to changing program and contextual needs. These findings demonstrate the importance of effective self-organization for clinical program implementation. Researchers and practitioners implementing clinical programs should allow for, and encourage, flexibility in staff roles in planning for implementation of a new clinical program, encourage the development of advocates, and engage leaders in program planning and sustainment efforts.

Adapting to CONNECT: modifying a nursing home-based team-building intervention to improve hospital care team interactions, functioning, and implementation readiness.

BACKGROUND: Clinical interventions often need to be adapted from their original design when they are applied to new settings. There is a growing literature describing frameworks and approaches to deploying and documenting adaptations of evidence-based practices in healthcare. Still, intervention modifications are often limited in detail and justification, which may prevent rigorous evaluation of interventions and intervention adaptation effectiveness in new contexts. We describe our approach in a case study, combining two complementary intervention adaptation frameworks to modify CONNECT for Quality, a provider-facing team building and communication intervention designed to facilitate implementation of a new clinical program. METHODS: This process of intervention adaptation involved the use of the Planned Adaptation Framework and the Framework for Reporting Adaptations and Modifications, for systematically identifying key drivers, core and non-core components of interventions for documenting planned and unplanned changes to intervention design. RESULTS: The CONNECT intervention's original context and setting is first described and then compared with its new application. This lays the groundwork for the intentional modifications to intervention design, which are developed before intervention delivery to participating providers. The unpredictable nature of implementation in real-world practice required unplanned adaptations, which were also considered and documented. Attendance and participation rates were examined and qualitative assessment of reported participant experience supported the feasibility and acceptability of adaptations of the original CONNECT intervention in a new clinical context. CONCLUSION: This approach may serve as a useful guide for intervention implementation efforts applied in diverse clinical contexts and subsequent evaluations of intervention effectiveness. TRIAL REGISTRATION: The study was registered at ClinicalTrials.gov ( NCT03300336 ) on September 28, 2017.

Subgroups of High-Risk Veterans Affairs Patients Based on Social Determinants of Health Predict Risk of Future Hospitalization.

OBJECTIVE: Population segmentation has been recognized as a foundational step to help tailor interventions. Prior studies have predominantly identified subgroups based on diagnoses. In this study, we identify clinically coherent subgroups using social determinants of health (SDH) measures collected from Veterans at high risk of hospitalization or death. STUDY DESIGN AND SETTING: SDH measures were obtained for 4684 Veterans at high risk of hospitalization through mail survey. Eleven self-report measures known to impact hospitalization and amenable to intervention were chosen a priori by the study team to identify subgroups through latent class analysis. Associations between subgroups and demographic and comorbidity characteristics were calculated through multinomial logistic regression. Odds of 180-day hospitalization were compared across subgroups through logistic regression. RESULTS: Five subgroups of high-risk patients emerged-those with: minimal SDH vulnerabilities (8% hospitalized), poor/fair health with few SDH vulnerabilities (12% hospitalized), social isolation (10% hospitalized), multiple SDH vulnerabilities (12% hospitalized), and multiple SDH vulnerabilities without food or medication insecurity (10% hospitalized). In logistic regression, the "multiple SDH vulnerabilities" subgroup had greater odds of 180-day hospitalization than did the "minimal SDH vulnerabilities" reference subgroup (odds ratio: 1.53, 95% confidence interval: 1.09-2.14). CONCLUSION: Self-reported SDH measures can identify meaningful subgroups that may be used to offer tailored interventions to reduce their risk of hospitalization and other adverse events.

Accelerating Implementation of Virtual Care in an Integrated Health Care System: Future Research and Operations Priorities.

BACKGROUND: Virtual care is critical to Veterans Health Administration (VHA) efforts to expand veterans' access to care. Health care policies such as the Veterans Access, Choice, and Accountability (CHOICE) Act and the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act impact how the VHA provides care. Research on ways to refine virtual care delivery models to meet the needs of veterans, clinicians, and VHA stakeholders is needed. OBJECTIVE: Given the importance of virtual approaches for increasing access to high-quality VHA care, in December 2019, we convened a Think Tank, Accelerating Implementation of Virtual Care in VHA Practice, to consider challenges to virtual care research and practice across the VHA, discuss novel approaches to using and evaluating virtual care, assess perspectives on virtual care, and develop priorities to enhance virtual care in the VHA. METHODS: We used a participatory approach to develop potential priorities for virtual care research and activities at the VHA. We refined these priorities through force-ranked prioritization and group discussion, and developed solutions for selected priorities. RESULTS: Think Tank attendees (n = 18) consisted of VHA stakeholders, including operations partners (e.g., Office of Rural Health, Office of Nursing Services, Health Services Research and Development), clinicians (e.g., physicians, nurses, psychologists, physician assistants), and health services researchers. We identified an initial list of fifteen potential priorities and narrowed these down to four. The four priorities were (1) scaling evidence-based practices, (2) centralizing virtual care, (3) creating high-value care within the VHA with virtual care, and (4) identifying appropriate patients for virtual care. CONCLUSION: Our Think Tank took an important step in setting a partnered research agenda to optimize the use of virtual care within the VHA. We brought together research and operations stakeholders and identified possibilities, partnerships, and potential solutions for virtual care.

Evaluation of a geriatrics primary care model using prospective matching to guide enrollment.

BACKGROUND: Few definitive guidelines exist for rigorous large-scale prospective evaluation of nonrandomized programs and policies that require longitudinal primary data collection. In Veterans Affairs (VA) we identified a need to understand the impact of a geriatrics primary care model (referred to as GeriPACT); however, randomization of patients to GeriPACT vs. a traditional PACT was not feasible because GeriPACT has been rolled out nationally, and the decision to transition from PACT to GeriPACT is made jointly by a patient and provider. We describe our study design used to evaluate the comparative effectiveness of GeriPACT compared to a traditional primary care model (referred to as PACT) on patient experience and quality of care metrics. METHODS: We used prospective matching to guide enrollment of GeriPACT-PACT patient dyads across 57 VA Medical Centers. First, we identified matches based an array of administratively derived characteristics using a combination of coarsened exact and distance function matching on 11 identified key variables that may function as confounders. Once a GeriPACT patient was enrolled, matched PACT patients were then contacted for recruitment using pre-assigned priority categories based on the distance function; if eligible and consented, patients were enrolled and followed with telephone surveys for 18 months. RESULTS: We successfully enrolled 275 matched dyads in near real-time, with a median time of 7 days between enrolling a GeriPACT patient and a closely matched PACT patient. Standardized mean differences of < 0.2 among nearly all baseline variables indicates excellent baseline covariate balance. Exceptional balance on survey-collected baseline covariates not available at the time of matching suggests our procedure successfully controlled many known, but administratively unobserved, drivers of entrance to GeriPACT. CONCLUSIONS: We present an important process to prospectively evaluate the effects of different treatments when randomization is infeasible and provide guidance to researchers who may be interested in implementing a similar approach. Rich matching variables from the pre-treatment period that reflect treatment assignment mechanisms create a high quality comparison group from which to recruit. This design harnesses the power of national administrative data coupled with collection of patient reported outcomes, enabling rigorous evaluation of non-randomized programs or policies.

Exploring differential response to an emergency department-based care transition intervention.

OBJECTIVE: To identify multivariable subgroups of patients with differential responses to a nurse-delivered care transition intervention after an emergency department (ED) visit in a randomized controlled trial (RCT) using an emerging data-driven method. DESIGN: Secondary analysis of RCT. PARTICIPANTS: 512 individuals enrolled in an RCT of a nurse-delivered care transition intervention after an ED visit. All 512 participants were included in a pre-specified subgroup analysis, and 451 of these had sufficient complete case data to be included in a model-based recursive (MoB) partitioning analysis. METHODS: The primary outcome was having at least one ED visit in 30 days after the index ED visit. Two analytical methods explored heterogeneity of treatment effects: data driven model-based recursive partitioning (MoB) using 37 candidate baseline variables, and a contextual point of comparison with prespecified subgroups defined by ED super-user status (≥ 3 ED visits in previous 6 months or not), sex (male/female), and age, individually examined via treatment arm by subgroup interaction terms in logistic regression models. Internal validation of the MoB analysis via bootstrap resampling with an optimism corrected c-statistic was conducted to provide a bias-corrected estimate. RESULTS: MoB detected treatment effect heterogeneity in a single subgroup, marital status. Unmarried patients randomized to the intervention had a repeat ED use rate of 22% compared to 34% in the usual care group; married patients randomized to the intervention had a 27% ED return rate compared to 12% in the usual care group. Internal validation demonstrated an optimism corrected c-statistic of 0.54. No treatment-by-covariate subgroup interactions were identified among the 3 prespecified subgroups. CONCLUSION: Although exploratory, the results of the MoB analysis suggest that patient factors related to social relationships such as marital status may be important contributors to differential response to a care transition intervention after an ED visit. These were characteristics that the investigators had not anticipated or planned to examine in the individual prespecified subgroup analysis. Data-driven methods can yield unexpected findings and contribute to a more complete understanding of differential treatment effects in subgroup analysis, which can inform further work on development of effective care transition interventions in the ED setting.

Discharge Information and Support for Patients Discharged from the Emergency Department: Results from a Randomized Controlled Trial.

BACKGROUND: Little research has been done on primary care-based models to improve health care use after an emergency department (ED) visit. OBJECTIVE: To examine the effectiveness of a primary care-based, nurse telephone support intervention for Veterans treated and released from the ED. DESIGN: Randomized controlled trial with 1:1 assignment to telephone support intervention or usual care arms (ClinicalTrials.gov: NCT01717976). SETTING: Department of Veterans Affairs Health Care System (VAHCS) in Durham, NC. PARTICIPANTS: Five hundred thirteen Veterans who were at high risk for repeat ED visits. INTERVENTION: The telephone support intervention consisted of two core calls in the week following an ED visit. Call content focused on improving the ED to primary care transition, enhancing chronic disease management, and educating Veterans and family members about VHA and community services. MAIN MEASURES: The primary outcome was repeat ED use within 30 days. KEY RESULTS: Observed rates of repeat ED use at 30 days in usual care and intervention groups were 23.1% and 24.9%, respectively (OR = 1.1; 95% CI = 0.7, 1.7; P = 0.6). The intervention group had a higher rate of having at least 1 primary care visit at 30 days (OR = 1.6, 95% CI = 1.1-2.3). At 180 days, the intervention group had a higher rate of usage of a weight management program (OR = 3.5, 95% CI = 1.6-7.5), diabetes/nutrition (OR = 1.8, 95% CI = 1.0-3.0), and home telehealth services (OR = 1.7, 95% CI = 1.0-2.9) compared with usual care. CONCLUSIONS: A brief primary care-based nurse telephone support program after an ED visit did not reduce repeat ED visits within 30 days, despite intervention participants' increased engagement with primary care and some chronic disease management services. TRIALS REGISTRATION: ClinicalTrials.gov NCT01717976.

Investigating Health Literacy in Systemic Lupus Erythematosus: a Descriptive Review.

PURPOSE OF REVIEW: Inadequate health literacy is common among American adults, but little is known about the impact of health literacy in rheumatic diseases. The purpose of this article is to review studies investigating health literacy and its association with clinical outcomes in systemic lupus erythematosus (SLE). RECENT FINDINGS: Several validated health literacy measures have been examined in SLE patients. Low health literacy is associated with worse patient-reported outcomes and lower numeracy with higher disease activity. Two studies found no association of low health literacy with medication adherence. One randomized controlled trial tested a medication decision aid among patients with low health literacy. We found a paucity of studies exploring health literacy in SLE. Low health literacy is associated with worse patient-reported outcomes and limited numeracy with higher disease activity in SLE. Further studies are needed exploring the impact of low health literacy on clinical outcomes and the effectiveness of literacy-sensitive interventions.

Improving Veteran Access to Integrated Management of Back Pain (AIM-Back): Protocol for an Embedded Pragmatic Cluster-Randomized Trial.

BACKGROUND: Coordinated efforts between the National Institutes of Health, the Department of Defense, and the Department of Veterans Affairs have built the capacity for large-scale clinical research investigating the effectiveness of nonpharmacologic pain treatments. This is an encouraging development; however, what constitutes best practice for nonpharmacologic management of low back pain (LBP) is largely unknown. DESIGN: The Improving Veteran Access to Integrated Management of Back Pain (AIM-Back) trial is an embedded pragmatic cluster-randomized trial that will examine the effectiveness of two different care pathways for LBP. Sixteen primary care clinics will be randomized 1:1 to receive training in delivery of 1) an integrated sequenced-care pathway or 2) a coordinated pain navigator pathway. Primary outcomes are pain interference and physical function (Patient-Reported Outcomes Measurement Information System Short Form [PROMIS-SF]) collected in the electronic health record at 3 months (n=1,680). A subset of veteran participants (n=848) have consented to complete additional surveys at baseline and at 3, 6, and 12 months for supplementary pain and other measures. SUMMARY: AIM-Back care pathways will be tested for effectiveness, and treatment heterogeneity will be investigated to identify which veterans may respond best to a given pathway. Health care utilization patterns (including opioid use) will also be compared between care pathways. Therefore, the AIM-Back trial will provide important information that can inform the future delivery of nonpharmacologic treatment of LBP.

Implementation of a group physical therapy program for Veterans with knee osteoarthritis.

BACKGROUND: A previous randomized clinical trial found that a Group Physical Therapy (PT) program for knee osteoarthritis yielded similar improvements in pain and function compared with traditional individual PT. Based on these findings the Group PT program was implemented in a Department of Veterans Affairs Health Care System. The objective of this study was to evaluate implementation metrics and changes in patient-level measures following implementation of the Group PT program. METHODS: This was a one-year prospective observational study. The Group PT program involved 6 weekly sessions. Implementation metrics included numbers of referrals and completed sessions. Patient-level measures were collected at the first and last PT sessions and included the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC; self-report of pain, stiffness and function (range 0-96)) and a 30-s chair rise test. RESULTS: During the evaluation period, 152 patients were referred, 80 had an initial session scheduled, 71 completed at least one session and 49 completed at least 5 sessions. The mean number of completed appointments per patient was 4.1. Among patients completing baseline and follow-up measures, WOMAC scores (n = 33) improved from 56.8 (SD = 15.8) to 46.9 (SD = 14.0); number of chair rises (n = 38) completed in 30 s increased from 10.4 (SD = 5.1) to 11.9 (SD = 5.0). CONCLUSIONS: Patients completing the Group PT program in this implementation phase showed clinically relevant improvements comparable to those observed in the previous clinical trial that compared group and individual PT for knee osteoarthritis. These results are important because Group PT can improve efficiency and access compared with individual PT. However, there were some limitations with respect to attendance and completion rates, and program adaptations may be needed to optimize these implementation metrics. Larger, longer-term studies are required to more fully evaluate the effectiveness of this program.

Physical Activity in the Hospital: Documentation and Influence on Venous Thromboembolism Prophylaxis.

This study describes the availability of physical activity information in the electronic health record, explores how electronic health record documentation correlates with accelerometer-derived physical activity data, and examines whether measured physical activity relates to venous thromboembolism (VTE) prophylaxis use. Prospective observational data comes from community-dwelling older adults admitted to general medicine (n = 65). Spearman correlations were used to examine association of accelerometer-based daily step count with documented walking distance and with duration of VTE prophylaxis. Only 52% of patients had documented walking in nursing and/or physical therapy/occupational therapy notes during the first three hospital days. Median daily steps recorded via accelerometer was 1,370 (interquartile range = 854, 2,387) and correlated poorly with walking distance recorded in physical therapy/occupational therapy notes (median 33 feet/day [interquartile range = 12, 100]; r = .24; p = .27). Activity measures were not associated with use or duration of VTE prophylaxis. VTE prophylaxis use does not appear to be directed by patient activity, for which there is limited documentation.

Improving geriatric prescribing in the ED: a qualitative study of facilitators and barriers to clinical decision support tool use.

QUALITY PROBLEM OR ISSUE: Clinical decision support (CDS) may improve prescribing for older adults in the Emergency Department (ED) if adopted by providers. INITIAL ASSESSMENT: Existing prescribing order entry processes were mapped at an initial Veterans Administration Medical Center site, demonstrating cognitive burden, effort and safety concerns. CHOICE OF SOLUTION: Geriatric order sets incorporating 2012 Beers guidelines and including geriatric prescribing advice and prepopulated order options were developed. IMPLEMENTATION: Geriatric order sets were implemented at two sites as part of the multicomponent 'Enhancing Quality of Prescribing Practices for Older Veterans Discharged from the Emergency Department' quality improvement initiative. EVALUATION: Facilitators and barriers to order sets use at the two sites were evaluated. Phone interviews were conducted with two provider groups (n = 20), those 'EQUiPPED' with the interventions (n = 10, 5 at each site) and Comparison providers who were only exposed to order sets through a clickable option on the ED order menu within the patient's medical record (n = 10, 5 at each site). All providers were asked about order set 'use' and 'usefulness'. Users (n = 11) were asked about 'usability'. LESSONS LEARNED: Order set adopters described 'usefulness' in terms of 'safety' and 'efficiency', whereas order set consultants and order set non-users described 'usefulness' in terms of 'information' or 'training'. Provider 'autonomy', 'comfort' level with existing tools, and 'learning curve' were stated as barriers to use. CONCLUSIONS: Quantifying efficiency advantages and communicating safety benefit over preexisting practices and tools may improve adoption of CDS in ED and in other settings of care.

A Systematic Review of Conceptual Frameworks of Medical Complexity and New Model Development.

BACKGROUND: Patient complexity is often operationalized by counting multiple chronic conditions (MCC) without considering contextual factors that can affect patient risk for adverse outcomes. OBJECTIVE: Our objective was to develop a conceptual model of complexity addressing gaps identified in a review of published conceptual models. DATA SOURCES: We searched for English-language MEDLINE papers published between 1 January 2004 and 16 January 2014. Two reviewers independently evaluated abstracts and all authors contributed to the development of the conceptual model in an iterative process. RESULTS: From 1606 identified abstracts, six conceptual models were selected. One additional model was identified through reference review. Each model had strengths, but several constructs were not fully considered: 1) contextual factors; 2) dynamics of complexity; 3) patients' preferences; 4) acute health shocks; and 5) resilience. Our Cycle of Complexity model illustrates relationships between acute shocks and medical events, healthcare access and utilization, workload and capacity, and patient preferences in the context of interpersonal, organizational, and community factors. CONCLUSIONS/IMPLICATIONS: This model may inform studies on the etiology of and changes in complexity, the relationship between complexity and patient outcomes, and intervention development to improve modifiable elements of complex patients.

Appropriate baseline laboratory testing following ACEI or ARB initiation by Medicare FFS beneficiaries.

BACKGROUND: Laboratory testing to identify contraindications and adverse drug reactions is important for safety of patients initiating angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs). Rates and predictors of appropriate testing among Medicare fee-for-service beneficiaries are unknown. PURPOSE: The study's purpose was to examine baseline laboratory testing rates, identify predictors of suboptimal testing, and assess the prevalence of abnormal creatinine and potassium among beneficiaries initiating ACE inhibitors or ARBs. DESIGN AND SUBJECTS: Retrospective cohort of 101 376 fee-for-service beneficiaries from 10 eastern US states in 1 July to 30 November 2011. MAIN MEASURES: Appropriate monitoring for serum creatinine or serum potassium was defined as evidence of an outpatient claim within 180 days before or 14 days after the index prescription fill date. KEY RESULTS: Thirty-eight percent of beneficiaries were men, 78% were White race, 26% had prevalent heart failure, and 89% had prevalent hypertension. Rates of appropriate baseline laboratory testing were 82.7% for potassium, 83.2% for creatinine, and 82.6% for both potassium and creatinine 180 days prior to initiation. In logistic regression, men (odds ratio [OR] = 1.15, 95% confidence interval [CI]: 1.11, 1.19), African-Americans (OR = 1.26, 95%CI: 1.20, 1.32), and beneficiaries with Alzheimer's disease and related disorders (OR = 1.22, 95%CI: 1.15, 1.28) or stroke (OR = 1.34, 95%CI: 1.26, 1.43) were more likely to experience suboptimal testing. At baseline, hyperkalemia was relatively uncommon (5.8%), and elevated creatinine values were rare (1.4%). CONCLUSIONS: Appropriate monitoring could be improved for African-American beneficiaries and beneficiaries with a history of stroke or Alzheimer's disease and related disorders initiating ACE inhibitors or ARBs. Copyright © 2016 John Wiley & Sons, Ltd.

Linkage of Laboratory Results to Medicare Fee-for-Service Claims.

BACKGROUND: Medicare is the single largest purchaser of laboratory testing in the United States, yet test results associated with Medicare laboratory claims have historically not been available. OBJECTIVE: The purpose of this study was to describe both the linkage of laboratory results data to Medicare claims and the completeness of these results data. In a subgroup of beneficiaries initiating angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers, we also demonstrate the generalizability of Medicare beneficiaries with laboratory values compared with those without laboratory values. We end with a discussion of the limitations and potential uses of these linked data. METHODS: We obtained information about laboratory orders and results for all Medicare fee-for-service beneficiaries in 10 eastern states who had outpatient laboratory tests conducted by a large national laboratory services vendor in 2011. Using a combination of direct identifiers and patient demographic characteristics, we linked patients in these laboratory data to Medicare beneficiaries, enabling us to associate test results with existing claims. RESULTS: Nearly all patients in the laboratory data were able to be linked to Medicare beneficiaries. There were over 2 million distinct beneficiaries with nearly 125 million specific test results in the laboratory data. For specific tests ordered in an outpatient or office setting in these 10 states, between 5% and 15% of them had linked laboratory data. Medicare beneficiaries initiating angiotensin-converting enzyme inhibitors or angiotensin II receptor blockers who had laboratory results data had similar patient characteristics to those without results data. CONCLUSIONS: This novel linkage of laboratory results data to Medicare claims creates unprecedented opportunities for conducting comparative effectiveness research related to patient safety and quality.

Impact of comprehensive medication reviews on potentially inappropriate medication discontinuation in Medicare beneficiaries.

BACKGROUND: The use of potentially inappropriate medications (PIMs) is associated with increased risk of hospitalizations and emergency room visits and varies by racial and ethnic subgroups. Medicare's nationwide medication therapy management (MTM) program requires that Part D plans offer an annual comprehensive medication review (CMR) to all beneficiaries who qualify, and provides a platform to reduce PIM use. The objective of this study was to assess the impact of CMR on PIM discontinuation in Medicare beneficiaries and whether this differed by race or ethnicity. METHODS: Retrospective cohort study of community-dwelling Medicare Part D beneficiaries ≥66 years of age who were eligible for MTM from 2013 to 2019 based on 5% Medicare fee-for-service claims data linked to the 100% MTM data file. Among those using a PIM, MTM-eligible CMR recipients were matched to non-recipients via sequential stratification. The probability of PIM discontinuation was estimated using regression models that pooled yearly subcohorts accounting for within-beneficiary correlations. The most common PIMs that were discontinued after CMR were reported. RESULTS: We matched 24,368 CMR recipients to 24,368 CMR non-recipients during the observation period. Median age was 74-75, 35% were males, most were White beneficiaries (86%-87%), and the median number of PIMs was 1. In adjusted analyses, CMR receipt was positively associated with PIM discontinuation (adjusted relative risk [aRR]: 1.26, 95% CI: 1.20-1.32). There was no evidence of differential impact of CMR by race or ethnicity. The PIMs most commonly discontinued after CMR were glimepiride, zolpidem, digoxin, amitriptyline, and nitrofurantoin. CONCLUSIONS: Among Medicare beneficiaries who are using a PIM, CMR receipt was associated with PIM discontinuation, suggesting that greater CMR use could facilitate PIM reduction for all racial and ethnic groups.

Allostatic Load, Morbidity, and Mortality Among Older Adults: A Multi-Wave Analysis From the National Health and Aging Trends Study.

Although allostatic load (AL) is a key concept to reflect physiologic wear and tear from stress, older adults are underrepresented in AL-related research, especially the oldest old (≥80). Further, attenuative factors are often unaccounted for. This longitudinal analysis using data from National Health and Aging Trends Study investigated relationships of AL in 2017 and multi-wave (1) comorbidity accumulation using multilevel Poisson modeling and (2) mortality risk using survival analysis. By year five (2022), each incremental AL increase that older adults (n = 3614) experienced was associated with a 47% increase in comorbidity (p < .001), and a 33% increased mortality risk (p < .001). This research supports a shift to a more proactive, health promotion/risk mitigation paradigm through informing intervention research targeting AL, which is currently scarce. Identifying potentially modifiable and key driving factors influencing the relationship between AL and health among older adults is an important next step to inform intervention design.

Central nervous system medication use around hospitalization.

BACKGROUND: Central nervous system (CNS) medication use is common among older adults, yet the impact of hospitalizations on use remains unclear. This study details CNS medication use, discontinuations, and user profiles during hospitalization periods. METHODS: Retrospective cohort study using electronic health records on patients ≥65 years, from three hospitals (2018-2020), and prescribed a CNS medication around hospitalization (90 days prior to 90 days after). Latent class transitions analysis (LCTA) examined profiles of CNS medication class users across four time points (90 days prior, admission, discharge, 90 days after hospitalization). RESULTS: Among 4666 patients (mean age 74.3 ± 9.3 years; 63% female; 70% White; mean length of stay 4.6 ± 5.6 days (median 3.0 [2.0, 6.0]), the most commonly prescribed CNS medications were antidepressants (56%) and opioids (49%). Overall, 74% (n = 3446) of patients were persistent users of a CNS medication across all four time points; 7% (n = 388) had discontinuations during hospitalization, but of these, 64% (216/388) had new starts or restarts within 90 days after hospitalization. LCTA identified three profile groups: (1) low CNS medication users, 54%-60% of patients; (2) mental health medication users, 30%-36%; and (3) acute/chronic pain medication users, 9%-10%. Probability of staying in same group across the four time points was high (0.88-1.00). Transitioning to the low CNS medication use group was highest from admission to discharge (probability of 9% for pain medication users, 5% for mental health medication users). Female gender increased (OR 2.4, 95% CI 1.3-4.3), while chronic kidney disease lowered (OR 0.5, 0.2-0.9) the odds of transitioning to the low CNS medication use profile between admission and discharge. CONCLUSIONS: CNS medication use stays consistent around hospitalization, with discontinuation more likely between admission and discharge, especially among pain medication users. Further research on patient outcomes is needed to understand the benefits and harms of hospital deprescribing, particularly for medications requiring gradual tapering.