The interagency care team: A new model to integrate social and medical care for older adults in primary care.

To integrate management of social drivers of health with complex clinical needs of older adults, we connected patients aged 60 and above from primary care practices with a nurse practitioner (NP) led Interagency Care Team (ICT) of geriatrics providers and community partners via electronic consult. The NP conducted a geriatric assessment via telephone, then the team met to determine recommendations. Thirteen primary care practices referred 123 patients (median age = 76) who had high rates of emergency department use and hospitalization (28.9% and 17.4% respectively). Issues commonly identified included medication management (84%), personal safety (72%), disease management (69%), food insecurity (63%), and cognitive decline (53%). Referring providers expressed heightened awareness of older adults' social needs and high satisfaction with the program. The ICT is a scalable model of care that connects older adults with complex care needs to geriatrics expertise and community services through partnerships with primary care providers.

Participatory research to improve medication reconciliation for older adults in the community.

INTRODUCTION: Medication reconciliation, a technique that assists in aligning a care team's understanding of an individual's true medication regimen, is vital to optimize medication use and prevent medication errors. Historically, most medication reconciliation research has focused on institutional settings and transitional care, with comparatively little attention given to medication reconciliation in community settings. To optimize medication reconciliation for community-dwelling older adults, healthcare professionals and older adults must be engaged in co-designing processes that create sustainable approaches. METHODS: Academic researchers, older adults, and community- and health system-based healthcare professionals engaged in a participatory process to better understand medication reconciliation barriers and co-design solutions. The initiative consisted of two participatory research approaches: (1) Sparks Innovation Studios, which synthesized professional expertise and opinions, and (2) a Community Consultation Studio with older adults. Input from both groups informed a list of possible solutions and these were ranked based on evaluative criteria of feasibility, person-centeredness, equity, and sustainability. RESULTS: Sparks Innovation Studios identified a lack of ownership, fragmented healthcare systems, and time constraints as the leading barriers to medication reconciliation. The Community Consultation Studio revealed that older adults often feel dismissed in medical encounters and perceive poor communication with and among providers. The Community Consultation Studio and Sparks Innovation Studios resulted in four highly-ranked solutions to improve medication reconciliation: (1) support for older adults to improve health literacy and ownership; (2) ensuring medication indications are included on prescription labels; (3) trainings and incentives for front-line staff in clinic settings to become champions for medication reconciliation; and (4) electronic health record improvements that simplify active medication lists. CONCLUSION: Engaging community representatives with academic partners in the research process enhanced understanding of community priorities and provided a practical roadmap for innovations that have the potential to improve the well-being of community-dwelling older adults.

Geriatric Preoperative Optimization: A Review.

This review summarizes best practices for the perioperative care of older adults as recommended by the American Geriatrics Society, American Society of Anesthesiologists, and American College of Surgeons, with practical implementation strategies that can be readily implemented in busy preoperative or primary care clinics. In addition to traditional cardiopulmonary screening, older patients should undergo a comprehensive geriatric assessment. Rapid screening tools such as the Mini-Cog, Patient Health Questionnaire-2, and Frail Non-Disabled Survey and Clinical Frailty Scale, can be performed by multiple provider types and allow for quick, accurate assessments of cognition, functional status, and frailty screening. To assess polypharmacy, online resources can help providers identify and safely taper high-risk medications. Based on preoperative assessment findings, providers can recommend targeted prehabilitation, rehabilitation, medication management, care coordination, and/or delirium prevention interventions to improve postoperative outcomes for older surgical patients. Structured goals of care discussions utilizing the question-prompt list ensures that older patients have a realistic understanding of their surgery, risks, and recovery. This preoperative workup, combined with engaging with family members and interdisciplinary teams, can improve postoperative outcomes.

Developing a Real-Time Electroencephalogram-Guided Anesthesia-Management Curriculum for Educating Residents: A Single-Center Randomized Controlled Trial.

BACKGROUND: Different anesthetic drugs and patient factors yield unique electroencephalogram (EEG) patterns. Yet, it is unclear how best to teach trainees to interpret EEG time series data and the corresponding spectral information for intraoperative anesthetic titration, or what effect this might have on outcomes. METHODS: We developed an electronic learning curriculum (ELC) that covered EEG spectrogram interpretation and its use in anesthetic titration. Anesthesiology residents at a single academic center were randomized to receive this ELC and given spectrogram monitors for intraoperative use versus standard residency curriculum alone without intraoperative spectrogram monitors. We hypothesized that this intervention would result in lower inhaled anesthetic administration (measured by age-adjusted total minimal alveolar concentration [MAC] fraction and age-adjusted minimal alveolar concentration [aaMAC]) to patients ≥60 old during the postintervention period (the primary study outcome). To study this effect and to determine whether the 2 groups were administering similar anesthetic doses pre- versus postintervention, we compared aaMAC between control versus intervention group residents both before and after the intervention. To measure efficacy in the postintervention period, we included only those cases in the intervention group when the monitor was actually used. Multivariable linear mixed-effects modeling was performed for aaMAC fraction and hospital length of stay (LOS; a non-prespecified secondary outcome), with a random effect for individual resident. A multivariable linear mixed-effects model was also used in a sensitivity analysis to determine if there was a group (intervention versus control group) by time period (post- versus preintervention) interaction for aaMAC. Resident EEG knowledge difference (a prespecified secondary outcome) was compared with a 2-sided 2-group paired t test. RESULTS: Postintervention, there was no significant aaMAC difference in patients cared for by the ELC group (n = 159 patients) versus control group (N = 325 patients; aaMAC difference = -0.03; 95% confidence interval [CI], -0.09 to 0.03; P =.32). In a multivariable mixed model, the interaction of time period (post- versus preintervention) and group (intervention versus control) led to a nonsignificant reduction of -0.05 aaMAC (95% CI, -0.11 to 0.01; P = .102). ELC group residents (N = 19) showed a greater increase in EEG knowledge test scores than control residents (N = 20) from before to after the ELC intervention (6-point increase; 95% CI, 3.50-8.88; P < .001). Patients cared for by the ELC group versus control group had a reduced hospital LOS (median, 2.48 vs 3.86 days, respectively; P = .024). CONCLUSIONS: Although there was no effect on mean aaMAC, these results demonstrate that this EEG-ELC intervention increased resident knowledge and raise the possibility that it may reduce hospital LOS.

A Processed Electroencephalogram-Based Brain Anesthetic Resistance Index Is Associated With Postoperative Delirium in Older Adults: A Dual Center Study.

BACKGROUND: Some older adults show exaggerated responses to drugs that act on the brain. The brain's response to anesthetic drugs is often measured clinically by processed electroencephalogram (EEG) indices. Thus, we developed a processed EEG-based measure of the brain's resistance to volatile anesthetics and hypothesized that low scores on it would be associated with postoperative delirium risk. METHODS: We defined the Duke Anesthesia Resistance Scale (DARS) as the average bispectral index (BIS) divided by the quantity (2.5 minus the average age-adjusted end-tidal minimum alveolar concentration [aaMAC] inhaled anesthetic fraction). The relationship between DARS and postoperative delirium was analyzed in 139 older surgical patients (age ≥65) from Duke University Medical Center (n = 69) and Mt Sinai Medical Center (n = 70). Delirium was assessed by geriatrician interview at Duke, and by research staff utilizing the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) instrument at Mt Sinai. We examined the relationship between DARS and delirium and used the Youden index to identify an optimal low DARS threshold (for delirium risk), and its associated 95% bootstrap confidence bounds. We used multivariable logistic regression to examine the relationship between low DARS and delirium risk. RESULTS: The relationship between DARS and delirium risk was nonlinear, with higher delirium risk at low DARS scores. A DARS threshold of 28.755 maximized the Youden index for the association between low DARS and delirium, with bootstrap 95% confidence bounds of 26.18 and 29.80. A low DARS (<28.755) was associated with increased delirium risk in multivariable models adjusting for site (odds ratio [OR] [95% confidence interval {CI}] = 4.30 [1.89-10.01]; P = .001), or site-plus-patient risk factors (OR [95% CI] = 3.79 [1.63-9.10]; P = .003). These associations with postoperative delirium risk remained significant when using the 95% bootstrap confidence bounds for the low DARS threshold (P < .05 for all). Further, a low DARS (<28.755) was associated with delirium risk after accounting for opioid, midazolam, propofol, phenylephrine, and ketamine dosage as well as site (OR [95% CI] = 4.21 [1.80-10.16]; P = .002). This association between low DARS and postoperative delirium risk after controlling for these other medications remained significant (P < .05) when using either the lower or the upper 95% bootstrap confidence bounds for the low DARS threshold. CONCLUSIONS: These results demonstrate that an intraoperative processed EEG-based measure of lower brain anesthetic resistance (ie, low DARS) is independently associated with increased postoperative delirium risk in older surgical patients.

Perioperative Optimization of Senior Health (POSH): A Descriptive Analysis of Cancelled Surgery.

BACKGROUND: Geriatric collaborative care models improve postoperative outcomes for older adults. However, there are limited data exploring how preoperative geriatric assessment may affect surgical cancellations. METHODS: This is a single-center retrospective cohort analysis. Patients enrolled in the Perioperative Optimization of Senior Health (POSH) program from 2011 to 2016 were included. POSH is a collaborative care model between geriatrics, surgery, and anesthesiology. Baseline demographic and medical data were collected during the POSH pre-op appointment. Patients who attended a POSH pre-op visit but did not have surgery were identified, and a chart review was performed to identify reasons for surgical cancellation. Baseline characteristics of patients who did and did not undergo surgery were compared. RESULTS: Of 449 eligible POSH referrals within the study period, 33 (7.3%) did not proceed to surgery; cancellation rates within the POSH program were lower than institutional cancellation rates for adults over age 65 who did not participate in POSH. Patients who did not have surgery were significantly older, more likely to have functional limitations, and had higher rates of several comorbidities compared with those who proceeded to surgery (P < 0.05). Reasons for surgical cancellations included a similar number of patient- and provider-driven causes. CONCLUSIONS: Many reasons for surgical cancellation were related to potentially modifiable factors, such as changes in goals of care or concerns about rehabilitation, emphasizing the importance of shared decision-making in elective surgery for older adults. These results highlight the important role geriatric collaborative care can offer to older adults with complex needs.

Planning for a Safe Discharge: More Than a Capacity Evaluation.

Discharge decision making for hospitalized older adults can be a complicated process involving functional assessments, capacity evaluation, and coordination of resources. Providers may feel pressured to recommend that an older adult with complex care needs be discharged to a skilled nursing facility rather than home, potentially contradicting the patient's wishes. This can lead to a professional and ethical dilemma for providers, who value patient autonomy and shared decision making. We describe a discharge decision-making framework focused on interprofessional evaluation and management, longitudinal follow-up, and education and support for patients and families. By gathering and synthesizing information, eliciting goals and preferences, and identifying community resources, the healthcare team can help maximize independence for vulnerable older adults. J Am Geriatr Soc 68:859-866, 2020.

Delaying Elective Surgery in Geriatric Patients: An Opportunity for Preoperative Optimization.

Deciding whether to pursue elective surgery is a complex process for older adults. Comprehensive geriatric assessment (CGA) can help refine estimates of benefits and risks, at times leading to a delay of surgery to optimize surgical readiness. We describe a cohort of geriatric patients who were evaluated in anticipation of elective abdominal surgery and whose procedures were delayed for any reason. Themes behind the reasons for delay are described, and a holistic framework to guide preoperative discussion is suggested.

An innovative educational clinical experience promoting geriatric exercise.

Formal educational training in physical activity promotion is relatively sparse throughout the medical education system. The authors describe an innovative clinical experience in physical activity directed at medical clinicians on a geriatrics rotation. The experience consists of a single 2 1/2 hour session, in which learners are partnered with geriatric patients engaged in a formal supervised exercise program. The learners are guided through an evidence-based exercise regimen tailored to functional status. This experience provides learners with an opportunity to interact with geriatric patients outside the hospital environment to counterbalance the typical geriatric rotation in which geriatric patients are often seen in clinics or hospitals. In this experience, learners are exposed to fit and engaged geriatric patients successfully living in the community despite chronic or disabling conditions. A survey of 105 learners highlighted positive responses to the experience, with 96% of survey respondents indicating that the experience increased their confidence in their ability to serve as advocates for physical activity for older adults, and 89.5% of responders to a follow-up survey indicating that the experience changed their perception of geriatric patients. Modifications to the experience, implemented at partnering facilities are described. The positive feedback from this experience warrants consideration for implementation in other settings.

Exploring patient-provider decision-making for use of anticoagulation for stroke prevention in atrial fibrillation: Results of the INFORM-AF study.

BACKGROUND: Atrial fibrillation is associated with stroke, yet approximately 50% of patients are not treated with guideline-directed oral anticoagulants (OACs). AIMS: Given that the etiology of this gap in care is not well understood, we explored decision-making by patients and physicians regarding OAC use for stroke prevention in atrial fibrillation. METHODS AND RESULTS: We conducted a descriptive qualitative study among providers ( N=28) and their patients with atrial fibrillation for whom OACs were indicated ( N=25). We used purposive sampling across three outpatient settings in which atrial fibrillation patients are commonly managed: primary care ( n=14), geriatrics ( n=10), and cardiology ( n=4). Eligible patients were stratified by those prescribed OAC ( n=13) and not prescribed OAC ( n=12). Semi-structured, in-depth interviews assessed decision-making regarding risk and OAC use. Classical content analysis was used to code narratives and identify themes. Results among patients consisted of the overarching theme of trust in provider recommendations. Sub-themes included: awareness of increased risk of stroke with atrial fibrillation; willingness to accept medications recommended by their physician; and low demand for explanatory decision aids. Among physicians, the overarching theme was decisional conflict regarding the balance between stroke and bleeding risk, and the optimal medication to prescribe. Subthemes included: absence of decision aids for communication; and misperceptions around the assessment and management of stroke risk with atrial fibrillation. CONCLUSIONS: Patient involvement in decision-making around OAC use did not occur in this study of patients with atrial fibrillation. Improved access to decision aids may increase patient engagement in the decision-making process of OAC use for stroke prevention.

Development and validation of machine learning models to identify high-risk surgical patients using automatically curated electronic health record data (Pythia): A retrospective, single-site study.

BACKGROUND: Pythia is an automated, clinically curated surgical data pipeline and repository housing all surgical patient electronic health record (EHR) data from a large, quaternary, multisite health institute for data science initiatives. In an effort to better identify high-risk surgical patients from complex data, a machine learning project trained on Pythia was built to predict postoperative complication risk. METHODS AND FINDINGS: A curated data repository of surgical outcomes was created using automated SQL and R code that extracted and processed patient clinical and surgical data across 37 million clinical encounters from the EHRs. A total of 194 clinical features including patient demographics (e.g., age, sex, race), smoking status, medications, comorbidities, procedure information, and proxies for surgical complexity were constructed and aggregated. A cohort of 66,370 patients that had undergone 99,755 invasive procedural encounters between January 1, 2014, and January 31, 2017, was studied further for the purpose of predicting postoperative complications. The average complication and 30-day postoperative mortality rates of this cohort were 16.0% and 0.51%, respectively. Least absolute shrinkage and selection operator (lasso) penalized logistic regression, random forest models, and extreme gradient boosted decision trees were trained on this surgical cohort with cross-validation on 14 specific postoperative outcome groupings. Resulting models had area under the receiver operator characteristic curve (AUC) values ranging between 0.747 and 0.924, calculated on an out-of-sample test set from the last 5 months of data. Lasso penalized regression was identified as a high-performing model, providing clinically interpretable actionable insights. Highest and lowest performing lasso models predicted postoperative shock and genitourinary outcomes with AUCs of 0.924 (95% CI: 0.901, 0.946) and 0.780 (95% CI: 0.752, 0.810), respectively. A calculator requiring input of 9 data fields was created to produce a risk assessment for the 14 groupings of postoperative outcomes. A high-risk threshold (15% risk of any complication) was determined to identify high-risk surgical patients. The model sensitivity was 76%, with a specificity of 76%. Compared to heuristics that identify high-risk patients developed by clinical experts and the ACS NSQIP calculator, this tool performed superiorly, providing an improved approach for clinicians to estimate postoperative risk for patients. Limitations of this study include the missingness of data that were removed for analysis. CONCLUSIONS: Extracting and curating a large, local institution's EHR data for machine learning purposes resulted in models with strong predictive performance. These models can be used in clinical settings as decision support tools for identification of high-risk patients as well as patient evaluation and care management. Further work is necessary to evaluate the impact of the Pythia risk calculator within the clinical workflow on postoperative outcomes and to optimize this data flow for future machine learning efforts.

Preoperative Cognitive Impairment As a Predictor of Postoperative Outcomes in a Collaborative Care Model.

OBJECTIVES: To compare postoperative outcomes of individuals with and without cognitive impairment enrolled in the Perioperative Optimization of Senior Health (POSH) program at Duke University, a comanagement model involving surgery, anesthesia, and geriatrics. DESIGN: Retrospective analysis of individuals enrolled in a quality improvement program. SETTING: Tertiary academic center. PARTICIPANTS: Older adults undergoing surgery and referred to POSH (N = 157). MEASUREMENTS: Cognitive impairment was defined as a score less than 25 out of 30 (adjusted for education) on the St. Louis University Mental Status (SLUMS) Examination. Median length of stay (LOS), mean number of postoperative complications, rates of postoperative delirium (POD, %), 30-day readmissions (%), and discharge to home (%) were compared using bivariate analysis. RESULTS: Seventy percent of participants met criteria for cognitive impairment (mean SLUMS score 20.3 for those with cognitive impairment and 27.7 for those without). Participants with and without cognitive impairment did not significantly differ in demographic characteristics, number of medications (including anticholinergics and benzodiazepines), or burden of comorbidities. Participants with and without cognitive impairment had similar LOS (P = .99), cumulative number of complications (P = .70), and 30-day readmission (P = .20). POD was more common in those with cognitive impairment (31% vs 24%), but the difference was not significant (P = .34). Participants without cognitive impairment had higher rates of discharge to home (80.4% vs 65.1%, P = .05). CONCLUSION: Older adults with and without cognitive impairment referred to the POSH program fared similarly on most postoperative outcomes. Individuals with cognitive impairment may benefit from perioperative geriatric comanagement. Questions remain regarding the validity of available measures of cognition in the preoperative period.

Association of Integrated Care Coordination With Postsurgical Outcomes in High-Risk Older Adults: The Perioperative Optimization of Senior Health (POSH) Initiative.

Importance: Older adults undergoing elective surgery experience higher rates of preventable postoperative complications than younger patients. Objective: To assess clinical outcomes for older adults undergoing elective abdominal surgery via a collaborative intervention by surgery, geriatrics, and anesthesia focused on perioperative health optimization. Design, Setting, and Participants: Perioperative Optimization of Senior Health (POSH) is a quality improvement initiative with prospective data collection. Participants in an existing geriatrics-based clinic within a single-site academic health center were included if they were at high risk for complications (ie, older than 85 years or older than 65 years with cognitive impairment, recent weight loss, multimorbidity, or polypharmacy) undergoing elective abdominal surgery. Outcomes were compared with a control group of patients older than 65 years who underwent similar surgeries by the same group of general surgeons immediately before implementation of POSH. Main Outcomes and Measures: Primary outcomes included length of stay, 7- and 30-day readmissions, and level of care at discharge. Secondary outcomes were delirium and other major postoperative complications. Outcomes data were derived from institutional databases linked with electronic health records and billing data sets. Results: One hundred eighty-three POSH patients were compared with 143 patients in the control group. On average, patients in the POSH group were older compared with those in the control group (75.6 vs 71.9 years; P < .001; 95% CI, 2.27 to 5.19) and had more chronic conditions (10.6 vs 8.5; P = .001; 95% CI, 0.86 to 3.35). Median length of stay was shorter among POSH patients (4 days vs 6 days; P < .001; 95% CI, -1.06 to -4.21). Patients in the POSH group had lower readmission rates at 7 days (5 of 180 [2.8%] vs 14 of 142 [9.9%]; P = .007; 95% CI, 0.09 to 0.74) and 30 days (14 of 180 [7.8%] vs 26 of 142 [18.3%]; P = .004; 95% CI, 0.19 to 0.75) and were more likely to be discharged home with self-care (114 of 183 [62.3%] vs 73 of 143 [51.1%]; P = .04; 95% CI, 1.02 to 2.47). Patients in the POSH group experienced fewer mean number of complications (0.9 vs 1.4; P < .001; 95% CI, -0.13 to -0.89) despite higher rates of documented delirium (52 of 183 [28.4%] vs 8 of 143 [5.6%]; P < .001; 95% CI, 3.06 to 14.65). A greater proportion of POSH patients underwent laparoscopic procedures (92 of 183 [50%] vs 55 of 143 [38.5%]; P = .001; 95% CI, 1.04 to 2.52). Tests for interactions between POSH patients and procedure type were insignificant for all outcomes. Conclusions and Relevance: Despite higher mean age and morbidity burden, older adults who participated in an interdisciplinary perioperative care intervention had fewer complications, shorter hospitalizations, more frequent discharge to home, and fewer readmissions than a comparison group.

Preoperative Screening.

Older adults undergoing elective surgical procedures suffer higher rates of morbidity and mortality than younger patients. A geriatric-focused preoperative evaluation can identify risk factors for complications and opportunities for health optimization and care coordination. Key components of a geriatric preoperative evaluation include (1) assessments of function, mobility, cognition, and mental health; (2) reviews of medical conditions and medications; and (3) discussion of risks, preferences, and goals of care. A geriatric-focused, team-based approach can improve surgical outcomes and patient experience.

A Perioperative Medicine Model for Population Health: An Integrated Approach for an Evolving Clinical Science.

Health care delivery in the United States continues to balance on the tight rope that connects its transition from volume to value. Value in economic terms can be defined as the amount something exceeds its commodity price and is determined by extraordinary reputation, quality, and/or service, whereas its destruction can be a consequence of poor management, unfavorable policy, decreased demand, and/or increased competition. Going forward, payment for health care delivery will increasingly be based on services that contribute to improvements in individual and/or population health value, and funds to pay for health care delivery will become increasingly vulnerable to competitive market forces. Therefore, a sustainable population health strategy needs to be comprehensive and thus include perioperative medicine as an essential component of the complete cycle of patient-centered care. We describe a multidisciplinary integrated program to support perioperative medicine services that are integral to a comprehensive population health strategy.

Physical Activity Trackers: Promising Tools to Promote Resilience in Older Surgical Patients.

OBJECTIVES: Impending surgery presents a high risk for older adults given their vulnerability to adverse outcomes. New approaches to peri-operative care bring together surgeons, geriatricians, and other Multidisciplinary specialties to co-manage the geriatric surgical patient. However, few have incorporated interventions to promote physical activity (PA) throughout this period. We describe findings from two quality improvement (QI) initiatives that adopted the use of PA trackers to monitor and promote PA during the peri-operative period. METHODS: QI project within Perioperative Optimization of Senior Health (POSH) clinic at two medical centers (Duke and Durham Veterans Healthcare System (VA)) in Durham, North Carolina. Participants included 38 adults, ages 65+. Participants from POSH-at-Duke received PA trackers with one-time bundled advice from the provider team on nutrition, activity, pain management, medications and other relevant education prior to surgery. Participants from POSH-at-VA received the same one time bundled advice in addition to a visit with an exercise health coach who provided PA guidance followed by weekly PA telephone counseling throughout entire peri-operative period to 4-weeks post-surgery. Primary outcome was daily step counts. RESULTS: Ninety three percent of participants approached agreed to use PA trackers. POSH-at-Duke had mean daily step counts of 3,951 at baseline, 4,437 two days prior to surgery, and 1,838 at 4-week post-operative visit as opposed to POSH-at-VA with 2,063 steps at baseline, 5,452 two days prior to surgery, and 4,236 at 4-week post-operative visit, p=0.049 for trajectory differences. CONCLUSION: PA trackers coupled with appropriate continuous PA counseling has a potential utility in promoting resilience in the geriatric surgical candidate.

Internal Medicine Residents' Ambulatory Management of Core Geriatric Conditions.

BACKGROUND: Adults aged 65 years and older account for more than 33% of annual visits to internal medicine (IM) generalists and specialists. Geriatrics experiences are not standardized for IM residents. Data are lacking on IM residents' continuity experiences with older adults and competencies relevant to their care. OBJECTIVE: To explore patient demographics and the prevalence of common geriatric conditions in IM residents' continuity clinics. METHODS: We collected data on age and sex for all IM residents' active clinic patients during 2011-2012. Academic site continuity panels for 351 IM residents were drawn from 4 academic medical center sites. Common geriatric conditions, defined by Assessing Care of Vulnerable Elders measures and the American Geriatrics Society IM geriatrics competencies, were identified through International Classification of Disease, ninth edition, coded electronic problem lists for residents' patients aged 65 years and older and cross-checked by audit of 20% of patients' charts across 1 year. RESULTS: Patient panels for 351 IM residents (of a possible 411, 85%) were reviewed. Older adults made up 21% of patients in IM residents' panels (range, 14%-28%); patients ≥ 75 (8%) or 85 (2%) years old were relatively rare. Concordance between electronic problem lists and chart audit was poor for most core geriatric conditions. On chart audit, active management of core geriatric conditions was variable: for example, memory loss (10%-25%), falls/gait abnormality (26%-42%), and osteoporosis (11%-35%). CONCLUSIONS: The IM residents' exposure to core geriatric conditions and management of older adults was variable across 4 academic medical center sites and often lower than anticipated in community practice.