Perceptions of Treatment Burden Among Caregivers of Elders With Diabetes and Co-morbid Alzheimer's Disease and Related Dementias: A Qualitative Study.

Many older adults with diabetes (DM) have co-occurring Alzheimer's Disease (AD) and AD-Related Dementias (ADRD). Complex treatment plans may impose treatment burden for caregivers responsible for day-to-day self-management. The purpose of this qualitative study was to describe caregiver perceptions of treatment burden for people with DM-AD/ADRD. Caregivers (n = 33) of patients with DM-AD/ADRD participated in semi-structured interviews about their caregiver role and perceptions of treatment burden of DM-AD/ADRD management. Qualitative data were analyzed using content analysis (ATLAS.ti). Caregivers reported high levels of burden related to complex treatment/self-management for patients with DM-AD/ADRD that varied day-to-day with the patient's cognitive status. Four themes were: (1) trajectory of treatment burden; (2) navigating multiple healthcare providers/systems of care; (3) caregiver role conflict; and (4) emotional burden. Interventions to reduce caregiver treatment burden should include activating supportive services, education, and care coordination especially, if patient treatment increases in complexity over time.

Associations of Age at Diagnosis and Duration of Diabetes With Morbidity and Mortality Among Older Adults.

Importance: Older adults vary widely in age at diagnosis and duration of type 2 diabetes, but treatment often ignores this heterogeneity. Objectives: To investigate the associations of diabetes vs no diabetes, age at diagnosis, and diabetes duration with negative health outcomes in people 50 years and older. Design, Setting, and Participants: This cohort study included participants in the 1995 through 2018 waves of the Health and Retirement Study (HRS), a population-based, biennial longitudinal health interview survey of older adults in the US. The study sample included adults 50 years or older (n = 36 060) without diabetes at entry. Data were analyzed from June 1, 2021, to July 31, 2022. Exposures: The presence of diabetes, specifically the age at diabetes diagnosis, was the main exposure of the study. Age at diagnosis was defined as the age when the respondent first reported diabetes. Adults who developed diabetes were classified into 3 age-at-diagnosis groups: 50 to 59 years, 60 to 69 years, and 70 years and older. Main Outcomes and Measures: For each diabetes age-at-diagnosis group, a propensity score-matched control group of respondents who never developed diabetes was constructed. The association of diabetes with the incidence of key outcomes-including heart disease, stroke, disability, cognitive impairment, and all-cause mortality-was estimated and the association of diabetes vs no diabetes among the age-at-diagnosis case and matched control groups was compared. Results: A total of 7739 HRS respondents developed diabetes and were included in the analysis (4267 women [55.1%]; mean [SD] age at diagnosis, 67.4 [9.9] years). The age-at-diagnosis groups included 1866 respondents at 50 to 59 years, 2834 at 60 to 69 years, and 3039 at 70 years or older; 28 321 HRS respondents never developed diabetes. Age at diagnosis of 50 to 59 years was significantly associated with incident heart disease (hazard ratio [HR], 1.66 [95% CI, 1.40-1.96]), stroke (HR, 1.64 [95% CI, 1.30-2.07]), disability (HR, 2.08 [95% CI, 1.59-2.72]), cognitive impairment (HR, 1.30 [95% CI, 1.05-1.61]), and mortality (HR, 1.49 [95% CI, 1.29-1.71]) compared with matched controls, even when accounting for diabetes duration. These associations significantly decreased with advancing age at diagnosis. Respondents with diabetes diagnosed at 70 years or older only showed a significant association with the outcome of elevated mortality (HR, 1.08 [95% CI, 1.01-1.17]). Conclusions and Relevance: The findings of this cohort study suggest that age at diabetes diagnosis was differentially associated with outcomes and that younger age groups were at elevated risk of heart disease, stroke, disability, cognitive impairment, and all-cause mortality. These findings reinforce the clinical heterogeneity of diabetes and highlight the importance of improving diabetes management in adults with earlier diagnosis.

AGS and NIA bench-to bedside conference summary: Cancer and cardiovascular disease.

This report summarizes the presentations, discussions, and recommendations of the most recent American Geriatrics Society and National Institute on Aging research conference, "Cancer and Cardiovascular Disease," on October 18-19, 2021. The purpose of this virtual meeting was to address the interface between cancer and heart disease, which are the two leading causes of death among older Americans. Age-related physiologic changes are implicated in the pathogenesis of both conditions. Emerging data suggest that cancer-related cardiovascular disease (CVD) involves disrupted cell signaling and cellular senescence. The risk factors for CVD are also risk factors for cancer and an increased likelihood of cancer death, and people who have both cancer and CVD do more poorly than those who have only cancer or only CVD. Issues addressed in this bench-to-bedside conference include mechanisms of cancer and CVD co-development in older adults, cardiotoxic effects of cancer therapy, and management of comorbid cancer and CVD. Presenters discussed approaches to ensure equitable access to clinical trials and health care for diverse populations of adults with CVD and cancer, mechanisms of cancer therapy cardiotoxicity, and management of comorbid CVD and cancer, including the role of patient values and preferences in treatment decisions. Workshop participants identified many research gaps and questions that could lead to an enhanced understanding of comorbid CVD and cancer and to better and more equitable management strategies.

Factors associated with hospital admission and severe outcomes for older patients with COVID-19.

BACKGROUND: Morbidity and death due to coronavirus disease 2019 (COVID-19) experienced by older adults in nursing homes have been well described, but COVID-19's impact on community-living older adults is less studied. Similarly, the previous ambulatory care experience of such patients has rarely been considered in studies of COVID-19 risks and outcomes. METHODS: To investigate the relationship of advanced age (65+), on risk factors associated with COVID-19 outcomes in community-living elders, we identified an electronic health records cohort of older patients aged 65+ with laboratory-confirmed COVID-19 with and without an ambulatory care visit in the past 24 months (n = 47,219) in the New York City (NYC) academic medical institutions and the NYC public hospital system from January 2020 to February 2021. The main outcomes are COVID-19 hospitalization; severe outcomes/Intensive care unit (ICU), intubation, dialysis, stroke, in-hospital death), and in-hospital death. The exposures include demographic characteristics, and those with ambulatory records, comorbidities, frailty, and laboratory results. RESULTS: The 31,770 patients with an ambulatory history had a median age of 74 years; were 47.4% male, 24.3% non-Hispanic white, 23.3% non-Hispanic black, and 18.4% Hispanic. With increasing age, the odds ratios and attributable fractions of sex, race-ethnicity, comorbidities, and biomarkers decreased except for dementia and frailty (Hospital Frailty Risk Score). Patients without ambulatory care histories, compared to those with, had significantly higher adjusted rates of COVID-19 hospitalization and severe outcomes, with strongest effect in the oldest group. CONCLUSIONS: In this cohort of community-dwelling older adults, we provided evidence of age-specific risk factors for COVID-19 hospitalization and severe outcomes. Future research should explore the impact of frailty and dementia in severe COVID-19 outcomes in community-living older adults, and the role of engagement in ambulatory care in mitigating severe disease.

Cardiovascular disease and cumulative incidence of cognitive impairment in the Health and Retirement Study.

BACKGROUND: We sought to examine whether people with a diagnosis of cardiovascular disease (CVD) experienced a greater incidence of subsequent cognitive impairment (CI) compared to people without CVD, as suggested by prior studies, using a large longitudinal cohort. METHODS: We employed Health and Retirement Study (HRS) data collected biennially from 1998 to 2014 in 1305 U.S. adults age ≥ 65 newly diagnosed with CVD vs. 2610 age- and gender-matched controls. Diagnosis of CVD was adjudicated with an established HRS methodology and included self-reported coronary heart disease, angina, heart failure, myocardial infarction, or other heart conditions. CI was defined as a score < 11 on the 27-point modified Telephone Interview for Cognitive Status. We examined incidence of CI over an 8-year period using a cumulative incidence function accounting for the competing risk of death. RESULTS: Mean age at study entry was 73 years, 55% were female, and 13% were non-white. Cognitive impairment developed in 1029 participants over 8 years. The probability of death over the study period was greater in the CVD group (19.8% vs. 13.8%, absolute difference 6.0, 95% confidence interval 2.2 to 9.7%). The cumulative incidence analysis, which adjusted for the competing risk of death, showed no significant difference in likelihood of cognitive impairment between the CVD and control groups (29.7% vs. 30.6%, absolute difference - 0.9, 95% confidence interval - 5.6 to 3.7%). This finding did not change after adjusting for relevant demographic and clinical characteristics using a proportional subdistribution hazard regression model. CONCLUSIONS: Overall, we found no increased risk of subsequent CI among participants with CVD (compared with no CVD), despite previous studies indicating that incident CVD accelerates cognitive decline.

Post-Discharge Health Status and Symptoms in Patients with Severe COVID-19.

BACKGROUND: Little is known about long-term recovery from severe COVID-19 disease. Here, we characterize overall health, physical health, and mental health of patients 1 month after discharge for severe COVID-19. METHODS: This was a prospective single health system observational cohort study of patients ≥ 18 years hospitalized with laboratory-confirmed COVID-19 disease who required at least 6 l of oxygen during admission, had intact baseline cognitive and functional status, and were discharged alive. Participants were enrolled between 30 and 40 days after discharge. Outcomes were elicited through validated survey instruments: the PROMIS® Dyspnea Characteristics and PROMIS® Global Health-10. RESULTS: A total of 161 patients (40.6% of eligible) were enrolled; 152 (38.3%) completed the survey. Median age was 62 years (interquartile range [IQR], 50-67); 57 (37%) were female. Overall, 113/152 (74%) participants reported shortness of breath within the prior week (median score 3 out of 10 [IQR 0-5]), vs 47/152 (31%) pre-COVID-19 infection (0, IQR 0-1), p < 0.001. Participants also rated their physical health and mental health as worse in their post-COVID state (43.8, standard deviation 9.3; mental health 47.3, SD 9.3) compared to their pre-COVID state, (54.3, SD 9.3; 54.3, SD 7.8, respectively), both p < 0.001. Physical and mental health means in the general US population are 50 (SD 10). A total of 52/148 (35.1%) patients without pre-COVID oxygen requirements needed home oxygen after hospital discharge; 20/148 (13.5%) reported still using oxygen at time of survey. CONCLUSIONS: Patients with severe COVID-19 disease typically experience sequelae affecting their respiratory status, physical health, and mental health for at least several weeks after hospital discharge.

Reasons geriatrics fellows choose geriatrics as a career, and implications for workforce recruitment.

Objectives: Although the population of older adults is rising, the number of physicians seeking geriatrics training is decreasing. This study of fellows in geriatrics training programs across the United States explored motivating factors that led fellows to pursue geriatrics in order to inform recruitment efforts. Design: Semi-structured telephone interviews with geriatrics fellows. Setting: Academic medical centers. Participants: Fifteen geriatrics fellows from academic medical centers across the United States. Measurements: This qualitative telephone study involved interviews that were transcribed and descriptively coded by two independent reviewers. A thematic analysis of the codes was summarized. Results: Fellows revealed that mentorship and early exposure to geriatrics were the most influential factors affecting career choice. Conclusion: The results of this study have the potential for a large impact, helping to inform best practices in encouraging trainees to enter the field, and enhancing medical student and resident exposure to geriatrics.

Post-discharge health status and symptoms in patients with severe COVID-19.

BACKGROUND: Little is known about long-term recovery from severe COVID-19 disease. Here, we characterize overall health, physical health and mental health of patients one month after discharge for severe COVID-19. METHODS: This was a prospective single health system observational cohort study of patients ≥18 years hospitalized with laboratory-confirmed COVID-19 disease who required at least 6 liters of oxygen during admission, had intact baseline cognitive and functional status and were discharged alive. Participants were enrolled between 30 and 40 days after discharge. Outcomes were elicited through validated survey instruments: the PROMIS Dyspnea Characteristics and PROMIS Global Health-10. RESULTS: A total of 161 patients (40.6% of eligible) were enrolled; 152 (38.3%) completed the survey. Median age was 62 years (interquartile range [IQR], 50-67); 57 (37%) were female. Overall, 113/152 (74%) participants reported shortness of breath within the prior week (median score 3 out of 10 [IQR 0-5]), vs. 47/152 (31%) pre-COVID-19 infection (0, IQR 0-1), p<0.001. Participants also rated their physical health and mental health as worse in their post-COVID state (43.8, standard deviation 9.3; mental health 47.3, SD 9.3) compared to their pre-COVID state, (54.3, SD 9.3; 54.3, SD 7.8, respectively), both p <0.001. A total of 52/148 (35.1%) patients without pre-COVID oxygen requirements needed home oxygen after hospital discharge; 20/148 (13.5%) reported still using oxygen at time of survey. CONCLUSIONS: Patients with severe COVID-19 disease typically experience sequelae affecting their respiratory status, physical health and mental health for at least several weeks after hospital discharge.

Cardiovascular disease risk prediction for people with type 2 diabetes in a population-based cohort and in electronic health record data.

OBJECTIVE: Electronic health records (EHRs) have become a common data source for clinical risk prediction, offering large sample sizes and frequently sampled metrics. There may be notable differences between hospital-based EHR and traditional cohort samples: EHR data often are not population-representative random samples, even for particular diseases, as they tend to be sicker with higher healthcare utilization, while cohort studies often sample healthier subjects who typically are more likely to participate. We investigate heterogeneities between EHR- and cohort-based inferences including incidence rates, risk factor identifications/quantifications, and absolute risks. MATERIALS AND METHODS: This is a retrospective cohort study of older patients with type 2 diabetes using EHR from New York University Langone Health ambulatory care (NYULH-EHR, years 2009-2017) and from the Health and Retirement Survey (HRS, 1995-2014) to study subsequent cardiovascular disease (CVD) risks. We used the same eligibility criteria, outcome definitions, and demographic covariates/biomarkers in both datasets. We compared subsequent CVD incidence rates, hazard ratios (HRs) of risk factors, and discrimination/calibration performances of CVD risk scores. RESULTS: The estimated subsequent total CVD incidence rate was 37.5 and 90.6 per 1000 person-years since T2DM onset in HRS and NYULH-EHR respectively. HR estimates were comparable between the datasets for most demographic covariates/biomarkers. Common CVD risk scores underestimated observed total CVD risks in NYULH-EHR. DISCUSSION AND CONCLUSION: EHR-estimated HRs of demographic and major clinical risk factors for CVD were mostly consistent with the estimates from a national cohort, despite high incidences and absolute risks of total CVD outcome in the EHR samples.

A Descriptive Analysis of an Ambulatory Kidney Palliative Care Program.

Background: Many patients with serious kidney disease have an elevated symptom burden, high mortality, and poor quality of life. Palliative care has the potential to address these problems, yet nephrology patients frequently lack access to this specialty. Objectives: We describe patient demographics and clinical activities of the first 13 months of an ambulatory kidney palliative care (KPC) program that is integrated within a nephrology practice. Design/Measurements: Utilizing chart abstractions, we characterize the clinic population served, clinical service utilization, visit activities, and symptom burden as assessed using the Integrated Palliative Care Outcome Scale-Renal (IPOS-R), and patient satisfaction. Results: Among the 55 patients served, mean patient age was 72.0 years (standard deviation [SD] = 16.7), 95% had chronic kidney disease stage IV or V, and 46% had a Charlson Comorbidity Index >8. The mean IPOS-R score at initial visit was 16 (range = 0-60; SD = 9.1), with a mean of 7.5 (SD = 3.7) individual physical symptoms (range = 0-15) per patient. Eighty-seven percent of initial visits included an advance care planning conversation, 55.4% included a medication change for symptoms, and 35.5% included a dialysis decision-making conversation. Overall, 96% of patients who returned satisfaction surveys were satisfied with the care they received and viewed the KPC program positively. Conclusions: A model of care that integrates palliative care with nephrology care in the ambulatory setting serves high-risk patients with serious kidney disease. This KPC program can potentially meet documented gaps in care while achieving patient satisfaction. Early findings from this program evaluation indicate opportunities for enhanced patient-centered palliative nephrology care.

Association of Patient Priorities-Aligned Decision-Making With Patient Outcomes and Ambulatory Health Care Burden Among Older Adults With Multiple Chronic Conditions: A Nonrandomized Clinical Trial.

Importance: Health care may be burdensome and of uncertain benefit for older adults with multiple chronic conditions (MCCs). Aligning health care with an individual's health priorities may improve outcomes and reduce burden. Objective: To evaluate whether patient priorities care (PPC) is associated with a perception of more goal-directed and less burdensome care compared with usual care (UC). Design, Setting, and Participants: Nonrandomized clinical trial with propensity adjustment conducted at 1 PPC and 1 UC site of a Connecticut multisite primary care practice that provides care to almost 15% of the state's residents. Participants included 163 adults aged 65 years or older who had 3 or more chronic conditions cared for by 10 primary care practitioners (PCPs) trained in PPC and 203 similar patients who received UC from 7 PCPs not trained in PPC. Participant enrollment occurred between February 1, 2017, and March 31, 2018; follow-up extended for up to 9 months (ended September 30, 2018). Interventions: Patient priorities care, an approach to decision-making that includes patients' identifying their health priorities (ie, specific health outcome goals and health care preferences) and clinicians aligning their decision-making to achieve these health priorities. Main Outcomes and Measures: Primary outcomes included change in patients' Older Patient Assessment of Chronic Illness Care (O-PACIC), CollaboRATE, and Treatment Burden Questionnaire (TBQ) scores; electronic health record documentation of decision-making based on patients' health priorities; medications and self-management tasks added or stopped; and diagnostic tests, referrals, and procedures ordered or avoided. Results: Of the 366 patients, 235 (64.2%) were female and 350 (95.6%) were white. Compared with the UC group, the PPC group was older (mean [SD] age, 74.7 [6.6] vs 77.6 [7.6] years) and had lower physical and mental health scores. At follow-up, PPC participants reported a 5-point greater decrease in TBQ score than those who received UC (ß [SE], -5.0 [2.04]; P = .01) using a weighted regression model with inverse probability of PCP assignment weights; no differences were seen in O-PACIC or CollaboRATE scores. Health priorities-based decisions were mentioned in clinical visit notes for 108 of 163 (66.3%) PPC vs 0 of 203 (0%) UC participants. Compared with UC patients, PPC patients were more likely to have medications stopped (weighted comparison, 52.0% vs 33.8%; adjusted odds ratio [AOR], 2.05; 95% CI, 1.43-2.95) and less likely to have self-management tasks (57.5% vs 62.1%; AOR, 0.59; 95% CI, 0.41-0.84) and diagnostic tests (80.8% vs 86.4%; AOR, 0.22; 95% CI, 0.12-0.40) ordered. Conclusions and Relevance: This study's findings suggest that patient priorities care may be associated with reduced treatment burden and unwanted health care. Care aligned with patients' priorities may be feasible and effective for older adults with MCCs. Trial Registration: ClinicalTrials.gov identifier: NCT03600389.

User-Centered Development of a Behavioral Economics Inspired Electronic Health Record Clinical Decision Support Module.

Changing physician behaviors is difficult. Electronic health record (EHR) clinical decision support (CDS) offers an opportunity to promote guideline adherence. Behavioral economics (BE) has shown success as an approach to supporting evidence-based decision-making with little additional cognitive burden. We applied a user-centered approach to incorporate BE "nudges" into a CDS module in two "vanguard" sites utilizing: (1) semi-structured interviews with key informants (n = 8); (2) a design thinking workshop; and (3) semi-structured group interviews with clinicians. In the 133 day development phase at two clinics, the navigator section fired 299 times for 27 unique clinicians. The inbasket refill alert fired 124 times for 22 clinicians. Fifteen prescriptions for metformin were written by 11 clinicians. Our user-centered approach yielded a BE-driven CDS module with relatively high utilization by clinicians. Next steps include the addition of two modules and continued tracking of utilization, and assessment of clinical impact of the module.

Acute Kidney Injury Among Older Patients Undergoing Coronary Angiography for Acute Myocardial Infarction: The SILVER-AMI Study.

BACKGROUND: Among older adults (age ≥75 years) hospitalized for acute myocardial infarction, acute kidney injury after coronary angiography is common. Aging-related conditions may independently predict acute kidney injury, but have not yet been analyzed in large acute myocardial infarction cohorts. METHODS: We analyzed data from 2212 participants age ≥75 years in the Comprehensive Evaluation of Risk Factors in Older Patients with Acute Myocardial Infarction (SILVER-AMI) study who underwent coronary angiography. Acute kidney injury was defined using Kidney Disease Improving Global Outcomes (KDIGO) criteria (serum Cr increase ≥0.3 mg/dL from baseline or ≥1.5 times baseline). We analyzed the associations of traditional acute kidney injury risk factors and aging-related conditions (activities of daily living impairment, prior falls, cachexia, low physical activity) with acute kidney injury, and then performed logistic regression to identify independent predictors. RESULTS: Participants' mean age was 81.3 years, 45.2% were female, and 9.5% were nonwhite; 421 (19.0%) experienced acute kidney injury. Comorbid diseases and aging-related conditions were both more common among individuals experiencing acute kidney injury. However, after multivariable adjustment, no aging-related conditions were retained. There were 11 risk factors in the final model; the strongest were heart failure on presentation (odds ratio [OR] 1.91; 95% confidence interval [CI], 1.41-2.59), body mass index [BMI] >30 (vs BMI 18-25: OR 1.75; 95% CI, 1.27-2.42), and nonwhite race (OR 1.65; 95% CI, 1.16-2.33). The final model achieved an area under the receiver operating characteristic curve of 0.72 and was well calibrated (Hosmer-Lemeshow P = .50). Acute kidney injury was independently associated with 6-month mortality (OR 1.98; 95% CI, 1.36-2.88) but not readmission (OR 1.26; 95% CI, 0.98-1.61). CONCLUSIONS: Acute kidney injury is common among older adults with acute myocardial infarction undergoing coronary angiography. Predictors largely mirrored those in previous studies of younger individuals, which suggests that geriatric conditions mediate their influence through other risk factors.

Challenges and strategies in patients' health priorities-aligned decision-making for older adults with multiple chronic conditions.

OBJECTIVES: While patients' health priorities should inform healthcare, strategies for doing so are lacking for patients with multiple conditions. We describe challenges to, and strategies that support, patients' priorities-aligned decision-making. DESIGN: Participant observation qualitative study. SETTING: Primary care and cardiology practices in Connecticut. PARTICIPANTS: Ten primary care clinicians, five cardiologists, and the Patient Priorities implementation team (four geriatricians, physician expert in clinician training, behavioral medicine expert). The patients discussed were ≥ 66 years with >3 chronic conditions and ≥10 medications or saw ≥ two specialists. EXPOSURE: Following initial training and experience in providing Patient Priorities Care, the clinicians and Patient Priorities implementation team participated in 21 case-based, group discussions (10 face-to-face;11 telephonic). Using emergent learning (i.e. learning which arises from interactions among the participants), participants discussed challenges, posed solutions, and worked together to determine how to align care options with the health priorities of 35 patients participating in the Patient Priorities Care pilot. MAIN OUTCOMES: Challenges to, and strategies for, aligning decision-making with patient's health priorities. RESULTS: Categories of challenges discussed among participants included uncertainty, complexity, and multiplicity of problems and treatments; difficulty switching to patients' priorities as the focus of decision-making; and differing perspectives between patients and clinicians, and among clinicians. Strategies identified to support patient priorities-aligned decision-making included starting with one thing that matters most to each patient; conducting serial trials of starting, stopping, or continuing interventions; focusing on function (i.e. achieving patient's desired activities) rather than eliminating symptoms; basing communications, decision-making, and effectiveness on patients' priorities not solely on diseases; and negotiating shared decisions when there are differences in perspectives. CONCLUSIONS: The discrete set of challenges encountered and the implementable strategies identified suggest that patient priorities-aligned decision-making in the care of patients with multiple chronic conditions is feasible, albeit complicated. Findings require replication in additional settings and determination of their effect on patient outcomes.

Functional Exercise Improves Mobility Performance in Older Adults With Type 2 Diabetes: A Randomized Controlled Trial.

Background: Diabetes-related disability occurs in approximately two-thirds of older adults with diabetes and is associated with loss of independence, increased health care resource utilization, and sedentary lifestyle. The objective of this randomized controlled trial was to determine the effect of a center-based functional circuit exercise training intervention followed by a 10-week customized home-based program in improving mobility function in sedentary older adults with diabetes. Methods: Participants (n = 111; mean age 70.5 [7.1] y; mean body mass index 32.7 [5.9] kg/m2) were randomized to either a moderate-intensity functional circuit training (FCT) plus 10-week home program to optimize physical activity (FCT-PA) primary intervention or one of 2 comparison groups (FCT plus health education [FCT-HE] or flexibility and toning plus health education [FT-HE]). Results: Compared with FT-HE, FCT-PA improvements in comfortable gait speed of 0.1 m/s (P < .05) and 6-minute walk of 80 ft were consistent with estimates of clinically meaningful change. At 20 weeks, controlling for 10-week outcomes, improvements were found between groups for comfortable gait speed (FCT-PA vs FT-HE and FCT-HE vs FT-HE) and 6-minute walk (FCT-PA vs FCT-HE). Conclusions: Functional exercise training can improve mobility in overweight/obese older adults with diabetes and related comorbidities. Future studies should evaluate intervention sustainability and adaptations for those with more severe mobility impairments.

Perspectives of Patients in Identifying Their Values-Based Health Priorities.

OBJECTIVES: Patient Health Priorities Identification (PHPI) is a values-based process in which trained facilitators assist older adults with multiple chronic conditions identify their health priorities. The purpose of this study was to evaluate patients' perceptions of PHPI. DESIGN: Qualitative study using thematic analysis. SETTING: In-depth semistructured telephone and in-person interviews. PARTICIPANTS: Twenty-two older adults who participated in the PHPI process. MEASUREMENTS: Open-ended questions about patient perceptions of the PHPI process, perceived benefits of the process, enablers and barriers to PHPI, and recommendations for process enhancement. RESULTS: Patient interviews ranged from 9 to 63 minutes (median = 20 min; interquartile range = 15-26). The mean age was 80 years (standard deviation = 7.96), 64% were female, and all patients identified themselves as white. Of the sample, 73% reported no caregiver involvement in their healthcare; 36% lived alone. Most patients felt able to complete the PHPI process with ease. Perceived benefits included increased knowledge and insight into disease processes and treatment options, patient activation, and enhanced communication with family and clinicians. Patients identified several factors that were both enablers and barriers to PHPI including facilitator characteristics, patient demographic and clinical characteristics, social support, relationships between the patient and their primary care provider, and the changing health priorities of the patient. Recommendations for process enhancement included more frequent and flexible facilitator contacts, selection of patients for participation based on specific patient characteristics, clarification of process aims and expectations, involvement of family, written reminders of established health priorities, short duration between facilitation and primary care provider follow-up, and the inclusion of health-related tasks in facilitation visits. CONCLUSIONS: Patients found the PHPI process valuable in identifying actionable health priorities and healthcare goals leading to enhanced knowledge, activation, and communication regarding their treatment options and preferences. PHPI may be useful for aligning the healthcare that patients receive with their values-based priorities.

Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module.

BACKGROUND: Current guidelines recommend less aggressive target hemoglobin A1c (HbA1c) levels based on older age and lower life expectancy for older adults with diabetes. The effectiveness of electronic health record (EHR) clinical decision support (CDS) in promoting guideline adherence is undermined by alert fatigue and poor workflow integration. Integrating behavioral economics (BE) and CDS tools is a novel approach to improving adherence to guidelines while minimizing clinician burden. METHODS: We will apply a systematic, user-centered design approach to incorporate BE "nudges" into a CDS module and will perform user testing in two "vanguard" sites. To accomplish this, we will conduct (1) semi-structured interviews with key informants (n = 8), (2) a 2-h, design-thinking workshop to derive and refine initial module ideas, and (3) semi-structured group interviews at each site with clinic leaders and clinicians to elicit feedback on three proposed nudge module components (navigator section, inbasket refill protocol, medication preference list). Detailed field notes will be summarized by module idea and usability theme for rapid iteration. Frequency of firing and user action taken will be assessed in the first month of implementation via EHR reporting to confirm that module components and related reporting are working as expected as well as assess utilization. To assess the utilization and feasibility of the new tools and generate estimates of clinician compliance with the Choosing Wisely guideline for diabetes management in older adults, a 6-month, single-arm pilot study of the BE-EHR module will be conducted in six outpatient primary care clinics. DISCUSSION: We hypothesize that a low burden, user-centered approach to design will yield a BE-driven, CDS module with relatively high utilization by clinicians. The resulting module will establish a platform for exploring the ability of BE concepts embedded within the EHR to affect guideline adherence for other use cases.

Decision Making for Older Adults With Multiple Chronic Conditions: Executive Summary for the American Geriatrics Society Guiding Principles on the Care of Older Adults With Multimorbidity.

Caring for older adults with multiple chronic conditions (MCCs) is challenging. The American Geriatrics Society (AGS) previously developed The AGS Guiding Principles for the Care of Older Adults With Multimorbidity using a systematic review of the literature and consensus. The objective of the current work was to translate these principles into a framework of Actions and accompanying Action Steps for decision making for clinicians who provide both primary and specialty care to older people with MCCs. A work group of geriatricians, cardiologists, and generalists: (1) articulated the core MCC Actions and the Action Steps needed to carry out the Actions; (2) provided decisional tips and communication scripts for implementing the Actions and Action Steps, using commonly encountered situations: (3) performed a scoping review to identify evidence-based, validated tools for carrying out the MCC Actions and Action Steps; and (4) identified potential barriers to, and mitigating factors for, implementing the MCC Actions. The recommended MCC Actions include: (1) identify and communicate patients' health priorities and health trajectory; (2) stop, start, or continue care based on health priorities, potential benefit vs harm and burden, and health trajectory; and (3) align decisions and care among patients, caregivers, and other clinicians with patients' health priorities and health trajectory. The tips and scripts for carrying out these Actions are included in the full MCC Action Framework available in the supplement (www.GeriatricsCareOnline.org). J Am Geriatr Soc 67:665-673, 2019.

Feasibility of Implementing Patient Priorities Care for Older Adults with Multiple Chronic Conditions.

Older adults with multiple chronic conditions (MCCs) receive care that is fragmented and burdensome, lacks evidence, and most importantly is not focused on what matters most to them. An implementation feasibility study of Patient Priorities Care (PPC), a new approach to care that is based on health outcome goals and healthcare preferences, was conducted. This study took place at 1 primary care and 1 cardiology practice in Connecticut and involved 9 primary care providers (PCPs), 5 cardiologists, and 119 older adults with MCCs. PPC was implemented using methods based on a practice change framework and continuous plan-do-study-act (PDSA) cycles. Core elements included leadership support, clinical champions, priorities facilitators, training, electronic health record (EHR) support, workflow development and continuous modification, and collaborative learning. PPC processes for clinic workflow and decision-making were developed, and clinicians were trained. After 10 months, 119 older adults enrolled and had priorities identified; 92 (77%) returned to their PCP after priorities identification. In 56 (46%) of these visits, clinicians documented patient priorities discussions. Workflow challenges identified and solved included patient enrollment lags, EHR documentation of priorities discussions, and interprofessional communication. Time for clinicians to provide PPC remains a challenge, as does decision-making, including clinicians' perceptions that they are already doing so; clinicians' concerns about guidelines, metrics, and unrealistic priorities; and differences between PCPs and patients and between PCPs and cardiologists about treatment decisions. PDSA cycles and continuing collaborative learning with national experts and peers are taking place to address workflow and clinical decision-making challenges. Translating disease-based to priorities-aligned decision-making appears challenging but feasible to implement in a clinical setting.

Development of a Clinically Feasible Process for Identifying Individual Health Priorities.

OBJECTIVES: To develop a values-based, clinically feasible process to help older adults identify health priorities that can guide clinical decision-making. DESIGN: Prospective development and feasibility study. SETTING: Primary care practice in Connecticut. PARTICIPANTS: Older adults with 3 or more conditions or taking 10 or more medications (N=64). INTERVENTION: The development team of patients, caregivers, and clinicians used a user-centered design framework-ideate → prototype → test →redesign-to develop and refine the value-based patient priorities care process and medical record template with trained clinician facilitators. MEASUREMENTS: We used descriptive statistics of quantitative measures (percentage accepted invitation and completed template, duration of process) and qualitative analysis of barriers and enablers (challenges and solutions identified, facilitator perceptions). RESULTS: We developed and refined a process for identifying patient health priorities that was typically completed in 35 to 45 minutes over 2 sessions; 64 patients completed the process. Qualitative analyses were used to elucidate the characteristics and training needed for the patient priorities facilitators, as well as perceived benefits and challenges of the process. Refinements based on our experience and feedback include streamlining the process for greater feasibility, balancing fidelity to the process while customizing to individuals, encouraging patients to share their priorities with their clinicians, and simplifying the template transmitted to clinicians. CONCLUSION: Trained facilitators conducted this process in a busy primary care practice, suggesting that patient priorities identification is feasible and acceptable, although testing in additional settings is necessary. We hope to show that clinicians can align care with patients' health priorities.