Outcomes from an Early Adopters Home Hospital Accelerator for Acute Care at Home.

BACKGROUND: Following the Centers for Medicare and Medicaid Services' approval of the Acute Hospital Care at Home waiver, an increasing number of health care organizations launched Home Hospital (HH) programs in the USA. Ongoing barriers include access to HH expertise and a standard, comprehensive set of implementation tools. We created the HH Early Adopters Accelerator to bring together a network of health care organizations to develop tools ("knowledge products") necessary for HH implementation. OBJECTIVE: To demonstrate the feasibility of the Accelerator approach for generating and implementing relevant, high-quality knowledge products. DESIGN: Mixed methods evaluation of the Accelerator. Surveys and qualitative interviews of Accelerator participants were conducted. Surveys elicited feedback on the knowledge products, including time spent on development, perceived utility and quality, and implementation success. The qualitative interviews gathered more in-depth information on topics covered in the surveys. PARTICIPANTS: Eighteen healthcare organizations and 105 individuals participated in the Accelerator. KEY RESULTS: The Accelerator reached its goal and developed 20 knowledge products in 32 working weeks (more efficient than expected). Participants agreed that the knowledge products were useful (developers: 98.1%; stakeholders: 93.8%), of high quality (developers: 96.8%), and would improve patient care if implemented in their HH program (developers: 91.7%; stakeholders: 91.2%). Two thirds (66.7%) of the participating organizations who had implemented knowledge products at 3 months continued utilizing knowledge products in their HH program at 1 year. Agreement that knowledge products improve patient care persisted (92% strongly agreed or agreed) at 1 year. Several programs created new tools, policies, and workflows as a result of implementing the knowledge products. CONCLUSIONS: The Accelerator created high-quality, comprehensive knowledge products that healthcare organizations found useful for safe HH implementation 1 year later. The Accelerator approach can feasibly help healthcare organizations safely bridge the gap between innovation and standard practice.

Patterns of Morbidity Across the Lifespan: A Population Segmentation Framework for Classifying Health Care Needs for All Ages.

BACKGROUND: Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision. OBJECTIVE: To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan. RESEARCH DESIGN AND SUBJECTS: Cross-sectional analyses using insurance claims database for 3.31 Million commercially insured and 1.05 Million Medicaid enrollees under 65 years old; and 5.27 Million Medicare fee-for-service beneficiaries aged 65 and older. MEASURES: The "Patient Need Groups" (PNGs) framework, we developed, classifies each person within the entire 0-100+ aged population into one of 11 mutually exclusive need-based categories. For each PNG segment, we documented a range of clinical and resource endpoints, including health care resource use, avoidable emergency department visits, hospitalizations, behavioral health conditions, and social need factors. RESULTS: The PNG categories included: (1) nonuser, (2) low-need child, (3) low-need adult, (4) low-complexity multimorbidity, (5) medium-complexity multimorbidity, (6) low-complexity pregnancy, (7) high-complexity pregnancy, (8) dominant psychiatric/behavioral condition, (9) dominant major chronic condition, (10) high-complexity multimorbidity, and (11) frailty. Each PNG evidenced a characteristic age-related trajectory across the full lifespan. In addition to offering clinically cogent groupings, large percentages (29%-62%) of patients in two pregnancy and high-complexity multimorbidity and frailty PNGs were in a high-risk subgroup (upper 10%) of potential future health care utilization. CONCLUSIONS: The PNG population segmentation approach represents a comprehensive measurement framework that captures and categorizes available electronic health care data to characterize individuals of all ages based on their needs.

Effects of a Rehabilitation-at-Home Program Compared to Post-acute Skilled Nursing Facility Care on Safety, Readmission, and Community Dwelling Status: A Matched Cohort Analysis.

OBJECTIVES: To evaluate the effectiveness and safety of Rehabilitation-at-Home (RaH), which provides high-frequency, multidisciplinary post-acute rehabilitative services in patients' homes. DESIGN: Comparative effectiveness analysis. SETTING AND PARTICIPANTS: Medicare Fee-For-Service patients who received RaH in a Center for Medicare and Medicaid Innovation Center Demonstration during 2016-2017 (N=173) or who received Medicare Skilled Nursing Facility (SNF) care in 2016-2017 within the same geographic service area with similar inclusion and exclusion criteria (N=5535). METHODS: We propensity-matched RaH participants to a cohort of SNF patients using clinical and demographic characteristics with exact match on surgical and non-surgical hospitalizations. Outcomes included hospitalization within 30 days of post-acute admission, death within 30 days of post-acute discharge, length of stay, falls, use of antipsychotic medication, and discharge to community. RESULTS: The majority of RaH participants were older than or equal to 85 years (57.8%) and non-Hispanic white (72.2%) with mean hospital length of stay of 8.1 (SD 7.6) days. In propensity-matched analyses, 10.1% (95% CI: 0.5%, 19.8) and 4.2% (95% CI: 0.1%, 8.5%) fewer RaH participants experienced hospital readmission and death, respectively. RaH participants had, on average, 2.8 fewer days (95% CI 1.4, 4.3) of post-acute care; 11.4% (95% CI: 5.2%, 17.7%) fewer RaH participants experienced fall; and 25.8% (95% CI: 17.8%, 33.9%) more were discharged to the community. Use of antipsychotic medications was no different. CONCLUSIONS AND IMPLICATIONS: RaH is a promising alternative to delivering SNF-level post-acute RaH. The program seems to be safe, readmissions are lower, and transition back to the community is improved.

Defining a taxonomy of Medicare-funded home-based clinical care using claims data.

BACKGROUND: As more Americans age in place, it is critical to understand care delivery in the home. However, data on the range of home-based services provided by Medicare is limited. We define a taxonomy of clinical care in the home funded through fee-for-service Medicare and methods to identify receipt of those services. METHODS: We analyzed Fee-for-service (FFS) Medicare claims data from a nationally-representative cohort of older adults, the National Health and Aging Trends Study (NHATS), to identify home-based clinical care. We included 6,664 NHATS enrollees age ≥ 70 and living in the community, observed an average of 3 times each on claims-linked NHATS surveys. We examined provider and service type of home-based clinical care to identify a taxonomy of 5 types: home-based medical care (physician, physician assistant, or nurse practitioner visits), home-based podiatry, skilled home health care (SHHC), hospice, and other fee-for-service (FFS) home-based care. We further characterized home-based clinical care by detailed care setting and visit types. RESULTS: From 2011-2016, 17.8%-20.8% of FFS Medicare beneficiaries age ≥ 70 received Medicare-funded home-based clinical care. SHHC was the most common service (12.8%-16.1%), followed by other FFS home-based care (5.5%-6.5%), home-based medical care (3.2%-3.9%), and hospice (2.6%-3.0%). Examination of the other-FFS home-based care revealed imaging/diagnostics and laboratory testing to be the most common service. CONCLUSIONS: We define a taxonomy of clinical care provided in the home, serving 1 in 5 FFS Medicare beneficiaries. This approach can be used to identify and address research and clinical care gaps in home-based clinical care delivery.

Drivers and restrainers to adoption and spread of evidence-based health service delivery interventions: The case of CAPABLE.

CONTEXT: Very few programs improve physical function among older adults and those that do should achieve farther reach. METHODS: We used Force Field Analysis to examine drivers and restrainers for the CAPABLE program to impact the function of older adults throughout the United States. FINDINGS: We found 19 distinct drivers for CAPABLE. These include robust research findings demonstrating clinical and economic utility, expansion from an evidence-based program, grounding in theory, high value to older adults themselves, and common sense approach. A major policy environment shifting towards value-based payment and payer flexibility to experiment with social determinants significantly changed the perception of the program's value by key stakeholders. We found 8 distinct restrainers. CONCLUSIONS: Factors which drive and restrain CAPABLE provide lessons for other programs to move from research to sustainability. Policymakers, payers, and communities should look to proven programs as solutions to improve function for older adults and society.

"I felt useless": a qualitative examination of COVID-19's impact on home-based primary care providers in New York.

Research on professional burnout during the pandemic has focused on hospital-based health care workers. This study examined the psychological impact of the pandemic on home-based primary care (HBPC) providers. We interviewed 13 participants from six HBPC practices in New York City including medical/clinical directors, program managers, nurse practitioners, and social workers and analyzed the transcripts using inductive qualitative analysis approach. HBPC providers experienced emotional exhaustion and a sense of reduced personal accomplishment. They reported experiencing grief of losing many patients at once and pressure to adapt to changing circumstances quickly. They also reported feeling guilty for failing to protect their patients and reduced confidence in their professional expertise. Strategies to combat burnout included shorter on-call schedules, regular condolence meetings to acknowledge patient deaths, and peer support calls. Our study identifies potential resources to improve the well-being and reduce the risk of burnout among HBPC providers.

What's Happening at Home: A Claims-based Approach to Better Understand Home Clinical Care Received by Older Adults.

BACKGROUND: Home clinical care (HCC) includes home-based medical care (HBMC-medical visits in the home) and skilled home health care (skilled nursing or therapy visits). Over 7 million older adults would benefit from HCC; however, we know surprisingly little about homebound older adults and HCC. OBJECTIVE: To describe HCC received by older adults using claims data within the OptumLabs Data Warehouse. RESEARCH DESIGN: Using administrative claims data for commercial and Medicare Advantage enrollees, we describe morbidity profiles, health service use, and care coordination (operationalized as care plan oversight [CPO]) for people receiving HCC and the subgroup receiving HBMC. PARTICIPANTS: Three million adults (3,027,247) age ≥65 with 12 months of continuous enrollment 2013-2014. MEASURES: CPT or HCPCS codes delineated HCC, HBMC, and CPO recipients and care site, frequency, and provider type. Other measures included demographic characteristics, clinical characteristics, and health care utilization. RESULTS: Overall, 5% of the study population (n=161,801) received 2+ months of HCC visits; of these, 46% also received 2+ HBMC visits (n=73,638) while 54% received only skilled home health (n=88,163 HCC but no HBMC). HBMC-recipients had high comorbidity burden (Charlson score 4.3), dementia (35%), and ambulance trips (58%), but few nursing facility admissions (4.9%). Evidence of care coordination (CPO claims) occurred in 30% of the HCC population, 46% of HBMC, and 17% of the skilled home health care only. CONCLUSIONS: Approximately 1 of 20 older adults in this study received HCC; 30% or less have a claim for care coordination by their primary care provider.

Informing Patient-Centered Care Through Stakeholder Engagement and Highly Stratified Quantitative Benefit-Harm Assessments.

OBJECTIVES: In a previous project aimed at informing patient-centered care for people with multiple chronic conditions, we performed highly stratified quantitative benefit-harm assessments for 2 top priority questions. In this current work, our goal was to describe the process and approaches we developed and to qualitatively glean important elements from it that address patient-centered care. METHODS: We engaged patients, caregivers, clinicians, and guideline developers as stakeholder representatives throughout the process of the quantitative benefit-harm assessment and investigated whether the benefit-harm balance differed based on patient preferences and characteristics (stratification). We refined strategies to select the most applicable, valid, and precise evidence. RESULTS: Two processes were important when assessing the balance of benefits and harms of interventions: (1) engaging stakeholders and (2) stratification by patient preferences and characteristics. Engaging patients and caregivers through focus groups, preference surveys, and as co-investigators provided value in prioritizing research questions, identifying relevant clinical outcomes, and clarifying the relative importance of these outcomes. Our strategies to select evidence for stratified benefit-harm assessments considered consistency across outcomes and subgroups. By quantitatively estimating the range in the benefit-harm balance resulting from true variation in preferences, we clarified whether the benefit-harm balance is preference sensitive. CONCLUSIONS: Our approaches for engaging patients and caregivers at all phases of the stratified quantitative benefit-harm assessments were feasible and revealed how sensitive the benefit-harm balance is to patient characteristics and individual preferences. Accordingly, this sensitivity can suggest to guideline developers when to tailor recommendations for specific patient subgroups or when to explicitly leave decision making to individual patients and their providers.

Systems Delivery Innovation for Alzheimer Disease.

OBJECTIVE: The authors describe a comprehensive care model for Alzheimer disease (AD) that improves value within 1-3 years after implementation by leveraging targeted outpatient chronic care management, cognitively protective acute care, and timely caregiver support. METHODS: Using current best evidence, expert opinion, and macroeconomic modeling, the authors designed a comprehensive care model for AD that improves the quality of care while reducing total per capita healthcare spending by more than 15%. Cost savings were measured as reduced spending by payers. Cost estimates were derived from medical literature and national databases, including both public and private U.S. payers. All estimates reflect the value in 2015 dollars using a consumer price index inflation calculator. Outcome estimates were determined at year 2, accounting for implementation and steady-state intervention costs. RESULTS: After accounting for implementation and recurring operating costs of approximately $9.5 billion, estimated net cost savings of between $13 and $41 billion can be accomplished concurrently with improvements in quality and experience of coordinated chronic care ($0.01-$6.8 billion), cognitively protective acute care ($8.7-$26.6 billion), timely caregiver support ($4.3-$7.5 billion), and caregiver efficiency ($4.1-$7.2 billion). CONCLUSION: A high-value care model for AD may improve the experience of patients with AD while significantly lowering costs.

Outcome preferences of older people with multiple chronic conditions and hypertension: a cross-sectional survey using best-worst scaling.

BACKGROUND: Older people with hypertension and multiple chronic conditions (MCC) receive complex treatments and face challenging trade-offs. Patients' preferences for different health outcomes can impact multiple treatment decisions. Since evidence about outcome preferences is especially scarce among people with MCC our aim was to elicit preferences of people with MCC for outcomes related to hypertension, and to determine how these outcomes should be weighed when benefits and harms are assessed for patient-centered clinical practice guidelines and health economic assessments. METHODS: We sent a best-worst scaling preference survey to a random sample identified from a primary care network of Kaiser Permanente (Colorado, USA). The sample included individuals age 60 or greater with hypertension and at least two other chronic conditions. We assessed average ranking of patient-important outcomes using conditional logit regression (stroke, heart attack, heart failure, dialysis, cognitive impairment, chronic kidney disease, acute kidney injury, fainting, injurious falls, low blood pressure with dizziness, treatment burden) and studied variation across individuals. RESULTS: Of 450 invited participants, 217 (48%) completed the survey, and we excluded 10 respondents who had more than two missing choices, resulting in a final sample of 207 respondents. Participants ranked stroke as the most worrisome outcome and treatment burden as the least worrisome outcome (conditional logit parameters: 3.19 (standard error 0.09) for stroke, 0 for treatment burden). None of the outcomes were always chosen as the most or least worrisome by more than 25% of respondents, indicating that all outcomes were somewhat worrisome to respondents. Predefined subgroup analyses according to age, self-reported life-expectancy, degree of comorbidity, number of medications and antihypertensive treatment did not reveal meaningful differences. CONCLUSIONS: Although some outcomes were more worrisome to patients than others, our results indicate that none of the outcomes should be disregarded for clinical practice guidelines and health economic assessments.

A systematic literature review of the assessment of treatment burden experienced by patients and their caregivers.

BACKGROUND: Many older adults with multiple chronic conditions, particularly those who are functionally impaired, spend considerable time juggling the competing demands of managing their conditions often assisted by caregivers. We examined methods of assessing the treatment burden experienced by this population as a first step to identifying strategies to reduce it. METHODS: Systematic searches were performed of the peer-reviewed and grey-literature (PubMed, Cochrane library, CINAHL, EMBASE, Web of Science, SCOPUS, New York Academy of Medicine Grey Literature Review, NLM catalog and ProQuest Digital Theses and Dissertations). After title and abstract screening, both qualitative and quantitative articles describing approaches to assessment of treatment burden were included. RESULTS: Forty-five articles from the peer reviewed and three items from the grey literature were identified. Most articles (34/48) discussed treatment burden associated with a specific condition. All but one examined the treatment burden experienced by patients and six addressed the treatment burden experienced by caregivers. Qualitative studies revealed many aspects of treatment burden including the burdens of understanding the condition, juggling, monitoring and adjusting treatments, efforts to engage with others for support as well as financial and time burdens. Many tools to assess treatment burden in different populations were identified through the qualitative data. The most commonly used instrument was the Treatment Burden Questionnaire. CONCLUSIONS: Many instruments are available to assess treatment burden, but no one standardized assessment method was identified. Few articles examined approaches to measuring the treatment burden experienced by caregivers. As people live longer with more chronic conditions healthcare providers need to identify patients and caregivers burdened by treatment and engage in approaches to ameliorate treatment burden. A standard and validated assessment method to measure treatment burden in the clinical setting would help to enhance the care of people with multiple chronic conditions, allow comparison of different approaches to reducing treatment burden, and foster ongoing evaluation and monitoring of burden across conditions, patient populations, and time.

The effect of adapting Hospital at Home to facilitate implementation and sustainment on program drift or voltage drop.

BACKGROUND: Translating evidence-based interventions from study conditions to actual practice necessarily requires adaptation. We implemented an evidence-based Hospital at Home (HaH) intervention and evaluated whether adaptations could avoid diminished benefit from "voltage drop" (decreased benefit when interventions are applied under more heterogeneous conditions than existing in studies) or "program drift." (decreased benefit arising from deviations from study protocols). METHODS: Patients were enrolled in HaH over a 6-month pilot period followed by nine quarters of implementation activity. The program retained core components of the original evidence-based HaH model, but adaptations were made at inception and throughout the implementation. These adaptations were coded as to who made them, what was modified, for whom the adaptations were made, and the nature of the adaptations. We collected information on length of stay (LOS), 30-day readmissions and emergency department (ED) visits, escalations to the hospital, and patient ratings of care. Outcomes were assessed by quarter of admission. Selected outcomes were tracked and fed back to the program leadership. We used logistic or linear regression with an independent variable included for the numerical quarter of enrollment after the initial 6-month pilot phase. Models controlled for season and for patient characteristics. RESULTS: Adaptations were made throughout the implementation period. The nature of adaptations was most commonly to add or to substitute new program elements. HaH services substituting for a hospital stay were received by 295 patients (a mean of 33, range 11-44, per quarter). A small effect of quarter from program inception was seen for escalations (OR 1.09, 95% CI 1.01 to 1.18, p = 0.03), but no effect was observed for LOS (- 0.007 days/quarter; SE 0.02, p = 0.75), 30 day ED visit (OR 0.93, 95% CI 0.86 to 1.01, p = 0.09), 30-day readmission (OR 1.00, 95% CI 0.93 to 1.08, p = 0.99), or patient rating of overall hospital care (OR for highest overall rating 0.99, 95% CI 0.93 to 1.05, p = 0.66). CONCLUSIONS: We made adaptations to HaH at inception and over the course of implementation. Our findings indicate that adaptations to evidence-based programs may avoid diminished benefits due to potential 'program drift' or 'voltage drop.' TRIAL REGISTRATION: Not applicable. This study is not a clinical trial by the International Committee of Medical Journal Editors (ICMJE) definition because it is an observational study "in which the assignment of the medical intervention is not at the discretion of the investigator."

Interactions Between Physicians and Skilled Home Health Care Agencies in the Certification of Medicare Beneficiaries' Plans of Care: Results of a Nationally Representative Survey.

Background: Physicians are required to certify a plan of care for patients who receive Medicare skilled home health care (SHHC) services. The Centers for Medicare & Medicaid Services form 485 (CMS-485) is typically used for certification of SHHC plans of care and for interactions between SHHC agencies and physicians. Little is known about how physicians use the CMS-485 or their perceptions of its usefulness with respect to coordinating care with SHHC agencies. Objective: To determine how physicians interact with SHHC agencies and use the CMS-485 in care coordination for patients receiving SHHC services. Design: Mailed survey. Setting: Nationally representative random sample. Participants: Physicians from the American Medical Association Physician Masterfile specializing in family or general medicine (excluding adolescent and sports medicine), geriatrics, geriatric psychiatry, internal medicine, or hospice and palliative medicine. Measurements: Time spent reviewing the plan of care and experiences with making changes and communicating with SHHC clinicians. Results: The response rate after 3 mailings was 53% (1044 of 1968). Of 1005 respondents who provided patient care, 72% had certified at least 1 plan of care in the past year. Nearly half (47%) reported spending less than 1 minute reviewing the CMS-485 before certification, whereas 21% reported spending at least 2 minutes. Physicians typically interacted with multiple SHHC agencies by fax or mail. Approximately 80% rarely or never changed an order on the CMS-485, and 78.3% rarely or never contacted SHHC clinicians with questions about information. The mean reported ease of contacting the SHHC agency was 4.7 (SD, 2.3) on a scale of 1 (easy) to 10 (difficult). Limitation: Self-reported data and 53% response rate. Conclusion: The CMS-485 does not meaningfully engage physicians. Physicians spend little time reviewing or acting on the SHHC plan of care. Strategies to enhance meaningful communication between SHHC agencies and physicians are needed. Primary Funding Source: National Institute on Aging and National Institute of Mental Health.

Defining and Assessing Geriatric Risk Factors and Associated Health Care Utilization Among Older Adults Using Claims and Electronic Health Records.

BACKGROUND: Using electronic health records (EHRs), in addition to claims, to systematically identify patients with factors associated with adverse outcomes (geriatric risk) among older adults can prove beneficial for population health management and clinical service delivery. OBJECTIVE: To define and compare geriatric risk factors derivable from claims, structured EHRs, and unstructured EHRs, and estimate the relationship between geriatric risk factors and health care utilization. RESEARCH DESIGN: We performed a retrospective cohort study of patients enrolled in a Medicare Advantage plan from 2011 to 2013 using both administrative claims and EHRs. We defined 10 individual geriatric risk factors and a summary geriatric risk index based on diagnosed conditions and pattern matching techniques applied to EHR free text. The prevalence of geriatric risk factors was estimated using claims, structured EHRs, and structured and unstructured EHRs combined. The association of geriatric risk index with any occurrence of hospitalizations, emergency department visits, and nursing home visits were estimated using logistic regression adjusted for demographic and comorbidity covariates. RESULTS: The prevalence of geriatric risk factors increased after adding unstructured EHR data to structured EHRs, compared with those derived from structured EHRs alone and claims alone. On the basis of claims, structured EHRs, and structured and unstructured EHRs combined, 12.9%, 15.0%, and 24.6% of the patients had 1 geriatric risk factor, respectively; 3.9%, 4.2%, and 15.8% had ≥2 geriatric risk factors, respectively. Statistically significant association between geriatric risk index and health care utilization was found independent of demographic and comorbidity covariates. For example, based on claims, estimated odds ratios for having 1 and ≥2 geriatric risk factors in year 1 were 1.49 (P<0.001) and 2.62 (P<0.001) in predicting any occurrence of hospitalizations in year 1, and 1.32 (P<0.001) and 1.34 (P=0.003) in predicting any occurrence of hospitalizations in year 2. CONCLUSIONS: The results demonstrate the feasibility and potential of using EHRs and claims for collecting new types of geriatric risk information that could augment the more commonly collected disease information to identify and move upstream the management of high-risk cases among older patients.

Home Health Agency Characteristics and Quality Outcomes for Medicare Beneficiaries With Rehabilitation-Sensitive Conditions.

OBJECTIVE: To examine associations between organizational characteristics of home health agencies (eg, profit status, rehabilitation therapy staffing model, size, and rurality) and quality outcomes in Medicare beneficiaries with rehabilitation-sensitive conditions, conditions for which occupational, physical, and/or speech therapy have the potential to improve functioning, prevent or slow substantial decline in functioning, or increase ability to remain at home safely. DESIGN: Retrospective analysis. SETTING: Home health agencies. PARTICIPANTS: Fee-for-service beneficiaries (N=1,006,562) admitted to 9250 Medicare-certified home health agencies in 2009. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Institutional admission during home health care, community discharge, and institutional admission within 30 days of discharge. RESULTS: Nonprofit (vs for-profit) home health agencies were more likely to discharge beneficiaries to the community (odds ratio [OR], 1.23; 95% confidence interval [CI], 1.13-1.33) and less likely to have beneficiaries incur institutional admissions within 30 days of discharge (OR, .93; 95% CI, .88-.97). Agencies in rural (vs urban) counties were less likely to discharge patients to the community (OR, .83; 95% CI, .77-.90) and more likely to have beneficiaries incur institutional admissions during home health (OR, 1.24; 95% CI, 1.18-1.30) and within 30 days of discharge (OR, 1.15; 95% CI, 1.10-1.22). Agencies with contract (vs in-house) therapy staff were less likely to discharge beneficiaries to the community (OR, .79, 95% CI, .70-.91) and more likely to have beneficiaries incur institutional admissions during home health (OR, 1.09; 95% CI, 1.03-1.15) and within 30 days of discharge (OR, 1.17; 95% CI, 1.07-1.28). CONCLUSIONS: As payers continue to test and implement reimbursement mechanisms that seek to reward value over volume of services, greater attention should be paid to organizational factors that facilitate better coordinated, higher quality home health care for beneficiaries who may benefit from rehabilitation.

Adverse drug events and medication problems in "Hospital at Home" patients.

"Hospital at Home(HaH)" programs provide an alternative to traditional hospitalization. However, the incidence of adverse drug events in these programs is unknown. This study describes adverse drug events and potential adverse drug events in a new HaH program. We examined the charts of the first 50 patients admitted. We found 45 potential adverse drug events and 14 adverse drug events from admission to 30 days after HaH discharge. None of the adverse drug events were severe. Some events, like problems with medication administration, may be unique to the hospital at home setting. Monitoring for adverse drug events is feasible and important for hospital at home programs.

Engaging Stakeholders to Inform Clinical Practice Guidelines That Address Multiple Chronic Conditions.

BACKGROUND: Having more than one chronic condition is common and is associated with greater health care utilization, higher medication burden and complexity of treatment. However, clinical practice guidelines (CPGs) do not routinely address the balance between harms and benefits of treatments for people with multiple chronic conditions (MCCs). OBJECTIVE: To partner with the Kaiser Permanente Integrated Cardiovascular Health (ICVH) program to engage multiple stakeholders in a mixed-methods approach in order to: 1) identify two high-priority clinical questions related to MCCs, and 2) understand patients' and family caregivers' perceptions of meaningful outcomes to inform benefit/harm assessments for these two high-priority questions. These clinical questions and outcomes will be used to inform CPG recommendations for people with MCCs. DESIGN AND PARTICIPANTS: The ICVH program provided 130 topics rank-ordered by the potential for finding evidence that would change clinical recommendations regarding the topic. We used a modified Delphi method to identify and reword topics into questions relevant to people with MCCs. We used two sets of focus groups (n = 27) to elicit patient and caregiver perspectives on two important research questions and relevant patient-important outcomes on benefit/harm balance for people with MCCs. KEY RESULTS: Co-investigators, patients and caregivers identified "optimal blood pressure goals" and "diabetes medication management" as important clinical topics for CPGs related to people with MCCs. Stakeholders identified a list of relevant outcomes to be addressed in future CPG development including 1) physical function and energy, 2) emotional health and well-being, 3) avoidance of treatment burden, side effects and risks, 4) interaction with providers and health care system, and 5) prevention of adverse long-term health outcomes. CONCLUSIONS: Through the application of a mixed-methods process, we identified the questions regarding optimal blood pressure goals and diabetes medication management, along with related patient-centered outcomes, to inform novel evidence syntheses for those with MCCs. This study provides the lessons learned and a generalizable process for CPG developers to engage patient and caregivers in priority-setting for the translation of evidence into future CPGs. Ultimately, engaging patient and stakeholders around MCCs could improve the relevance of CPGs for the care of people with MCCs.

Comparing clinician descriptions of frailty and geriatric syndromes using electronic health records: a retrospective cohort study.

BACKGROUND: Geriatric syndromes, including frailty, are common in older adults and associated with adverse outcomes. We compared patients described in clinical notes as "frail" to other older adults with respect to geriatric syndrome burden and healthcare utilization. METHODS: We conducted a retrospective cohort study on 18,341 Medicare Advantage enrollees aged 65+ (members of a large nonprofit medical group in Massachusetts), analyzing up to three years of administrative claims and structured and unstructured electronic health record (EHR) data. We determined the presence of ten geriatric syndromes (falls, malnutrition, dementia, severe urinary control issues, absence of fecal control, visual impairment, walking difficulty, pressure ulcers, lack of social support, and weight loss) from claims and EHR data, and the presence of frailty descriptions in clinical notes with a pattern-matching natural language processing (NLP) algorithm. RESULTS: Of the 18,341 patients, we found that 2202 (12%) were described as "frail" in clinical notes. "Frail" patients were older (82.3 ± 6.8 vs 75.9 ± 5.9, p < .001) and had higher rates of healthcare utilization, including number of inpatient hospitalizations and emergency department visits, than the rest of the population (p < .001). "Frail" patients had on average 4.85 ± 1.72 of the ten geriatric syndromes studied, while non-frail patients had 2.35 ± 1.71 (p = .013). Falls, walking difficulty, malnutrition, weight loss, lack of social support and dementia were more highly correlated with frailty descriptions. The most common geriatric syndrome pattern among "frail" patients was a combination of walking difficulty, lack of social support, falls, and weight loss. CONCLUSIONS: Patients identified as "frail" by providers in clinical notes have higher rates of healthcare utilization and more geriatric syndromes than other patients. Certain geriatric syndromes were more highly correlated with descriptions of frailty than others.