Publications

INTRODUCTION: Older adults are at high risk of adverse health outcomes in the post-emergency department (ED) discharge period. Prior work has shown that discharged older adults have variable understanding of their discharge instructions which may contribute to these outcomes. To identify discharge comprehension gaps amenable to future interventions, we utilize meta-analysis to determine patient comprehension across five domains of discharge instructions: diagnosis, medications, self-care, routine follow-up, and return precautions.

METHODS: Using Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, two reviewers sourced evidence from databases including Medline (PubMed), EMBASE, Web of Science, CINAHL, and Google Scholar (for gray literature). Publications or preprints appearing before April 2024 were included if they focused on geriatric ED discharge instructions and reported a proportion of patients with comprehension of at least one of five predefined discharge components. Meta-analysis of eligible studies for each component was executed using random-effects modeling to describe the proportion of geriatric ED cases understanding the discharge instructions; where appropriate we calculated pooled estimates, reported as percentages with 95% confidence interval (CI).

RESULTS: Of initial records returned (N = 2898), exclusions based on title or abstract assessment left 51 studies for full-text review; of these, seven constituted the study set. Acceptable heterogeneity and absence of indication of publication bias supported pooled estimates for proportions comprehending instructions on medications (41%, 95% CI 31%-50%, I2 = 43%), self-care (81%, 95% CI 76%-85%, I2 = 43%), and routine follow-up (76%, 95% CI 72%-79%, I2 = 25%). Key findings included marked heterogeneity with respect to comprehending two discharge parameters: diagnosis (I2 = 73%) and return precautions (I2 = 95%).

CONCLUSIONS: Older patients discharged from the ED had greater comprehension of self-care and follow-up instructions than about their medications. These findings suggest that medication instructions may be a priority domain for future interventions.

IMPORTANCE: Many older women are screened for breast cancer beyond guideline-recommended thresholds. Messaging holds promise to reduce overscreening.

OBJECTIVE: To investigate the effect of a message on older women's support for and intentions of stopping breast cancer screening.

DESIGN, SETTING, AND PARTICIPANTS: A 2-wave randomized clinical online survey trial using a nationally representative online panel was performed from May 12 to June 19, 2023. Women 65 years or older without breast cancer were eligible to participate.

INTERVENTION: A pilot-tested breast cancer screening cessation message delivered to a hypothetical older woman with serious illnesses and functional impairment. The message was described as from 1 of 3 sources (clinician, news story, or family member). Participants were randomized into 4 groups: no message (group 1 [control]), a single message from a clinician at wave 1 and no message at wave 2 (group 2), a message from a news story (wave 1) and a clinician (wave 2) (group 3), and a message from a family member (wave 1) and a clinician (wave 2) (group 4).

MAIN OUTCOMES AND MEASURES: Support for stopping screening in the hypothetical older woman (primary) and screening intentions for oneself (secondary) were assessed on 7-point scales, with higher values indicating stronger support for and intentions to stop screening. Means were compared using analysis of variance. The message effect on screening intentions among participants 75 years or older and those with life expectancy of less than 10 years were also explored.

RESULTS: A total of 3051 women participated in wave 1 of the trial. The mean (SD) age was 72.8 (5.9) years; 272 (8.9%) were non-Hispanic Black and 2506 (82.1%) were non-Hispanic White. Of these women, 2796 (91.6%) completed wave 2. Group 2 had significantly higher support for screening cessation in the hypothetical patient at wave 2 (mean score, 3.14 [95% CI, 2.99-3.29]) compared with group 1 (mean score, 2.68 [95% CI, 2.54-2.82]; P < .001). The effect was even stronger in group 3 (mean score, 4.23 [95% CI, 4.09-4.38]) and group 4 (mean score, 4.12 [95% CI, 3.97-4.27]) compared with both groups 1 and 2 (all P < .001). Message effects on self-screening intentions followed a similar pattern, with larger effects among participants 75 years or older or with limited life expectancy.

CONCLUSIONS AND RELEVANCE: In this randomized clinical trial, a breast cancer screening cessation message significantly increased older women's support for and intentions of screening cessation. The strongest effects were observed when the message was delivered over time from multiple sources. Future work needs to engage potential message sources to examine the feasibility and acceptability of multilevel messaging strategies and their effect on screening behavior.

TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT05821023.

IMPORTANCE: Although trial data support the omission of axillary surgery and radiation therapy (RT) in women aged 70 years or older with T1N0 hormone receptor-positive (HR+) breast cancer, potential overtreatment in older adults with frailty persists.

OBJECTIVE: To determine how much geospatial variation in locoregional therapy may be attributed to region vs patient factors.

DESIGN, SETTING, AND PARTICIPANTS: This retrospective cross-sectional study included women aged 70 years or older who were diagnosed with HR+/ERBB2-negative (ERBB2-) breast cancer from January 1, 2013, to December 31, 2017. Data came from Surveillance, Epidemiology, and End Results-Medicare. Hierarchical multivariable modeling was used to evaluate the variance in deescalated care attributable to 4 domains, ie, (1) random, (2) region (health service area [HSA]), (3) patient factors, and (4) unexplained. Patient factors included age, frailty (validated claims-based measure), Charlson Comorbidity Index (CCI), and socioeconomic status (Yost index). Analyses were performed from January to October 2023.

EXPOSURE: HSA.

MAIN OUTCOMES AND MEASURES: Deescalated care, defined as omission of axillary surgery, RT, or both. Standard therapy was defined as lumpectomy, axillary surgery, and RT or mastectomy with axillary surgery. Multivariable logistic regression was used to identify factors associated with deescalated care receipt.

RESULTS: Of 9173 patients (mean [SD] age, 76.5 [5.2] years), 2363 (25.8%) were aged 80 years or older, 705 (7.7%) had frailty, and 419 (4.6%) had a CCI of 2 or greater. While 4499 (49.1%) underwent standard therapy, 4674 (50.9%) underwent deescalated therapy (1193 [13.0%] of the population omitted axillary surgery and 4342 [55.5%] of patients undergoing lumpectomy omitted RT). Of the total variance, random variation explained 27.3%, region/HSA explained 35.3%, patient factors explained 2.8%, and 34.5% was unexplained. In adjusted models, frailty and increased age were associated with a higher likelihood of undergoing deescalated therapy (frailty: odds ratio [OR], 1.70; 95% CI, 1.43-2.02; age, by 1-year increment: OR, 1.10; 95% CI, 1.09-1.11), but CCI was not. Patients in rural areas compared with those in urban areas (OR, 0.82; 95% CI, 0.68-0.99) and Asian and Pacific Islander patients compared with non-Hispanic White patients (OR, 0.68; 95% CI, 0.54-0.85) had a lower likelihood of undergoing deescalated therapy.

CONCLUSIONS AND RELEVANCE: In this retrospective cross-sectional study of women aged 70 years or older diagnosed with T1N0 HR+/ERBB2- breast cancer, region/HSA contributed more to the variation in deescalated therapy use than patient factors. Unexplained variation may be attributed to unmeasured characteristics, such as multidisciplinary environment and patient preference. Decision support efforts to address overtreatment should target regions with low rates of evidence-based deescalation.

IMPORTANCE: Emergency department (ED) visits by older adults with life-limiting illnesses are a critical opportunity to establish patient care end-of-life preferences, but little is known about the optimal screening criteria for resource-constrained EDs.

OBJECTIVES: To externally validate the Geriatric End-of-Life Screening Tool (GEST) in an independent population and compare it with commonly used serious illness diagnostic criteria.

DESIGN, SETTING, AND PARTICIPANTS: This prognostic study assessed a cohort of patients aged 65 years and older who were treated in a tertiary care ED in Boston, Massachusetts, from 2017 to 2021. Patients arriving in cardiac arrest or who died within 1 day of ED arrival were excluded. Data analysis was performed from August 1, 2023, to March 27, 2024.

EXPOSURE: GEST, a logistic regression algorithm that uses commonly available electronic health record (EHR) datapoints and was developed and validated across 9 EDs, was compared with serious illness diagnoses as documented in the EHR. Serious illnesses included stroke/transient ischemic attack, liver disease, cancer, lung disease, and age greater than 80 years, among others.

MAIN OUTCOMES AND MEASURES: The primary outcome was 6-month mortality following an ED encounter. Statistical analyses included area under the receiver operating characteristic curve, calibration analyses, Kaplan-Meier survival curves, and decision curves.

RESULTS: This external validation included 82 371 ED encounters by 40 505 unique individuals (mean [SD] age, 76.8 [8.4] years; 54.3% women, 13.8% 6-month mortality rate). GEST had an external validation area under the receiver operating characteristic curve of 0.79 (95% CI, 0.78-0.79) that was stable across years and demographic subgroups. Of included encounters, 53.4% had a serious illness, with a sensitivity of 77.4% (95% CI, 76.6%-78.2%) and specificity of 50.5% (95% CI, 50.1%-50.8%). Varying GEST cutoffs from 5% to 30% increased specificity (5%: 49.1% [95% CI, 48.7%-49.5%]; 30%: 92.2% [95% CI, 92.0%-92.4%]) at the cost of sensitivity (5%: 89.3% [95% CI, 88.8-89.9]; 30%: 36.2% [95% CI, 35.3-37.1]). In a decision curve analysis, GEST outperformed serious illness criteria across all tested thresholds. When comparing patients referred to intervention by GEST with serious illness criteria, GEST reclassified 45.1% of patients with serious illness as having low risk of mortality with an observed mortality rate 8.1% and 2.6% of patients without serious illness as having high mortality risk with an observed mortality rate of 34.3% for a total reclassification rate of 25.3%.

CONCLUSIONS AND RELEVANCE: The findings of this study suggest that both serious illness criteria and GEST identified older ED patients at risk for 6-month mortality, but GEST offered more useful screening characteristics. Future trials of serious illness interventions for high mortality risk in older adults may consider transitioning from diagnosis code criteria to GEST, an automatable EHR-based algorithm.

BACKGROUND: Management of elevated blood pressure (BP) during hospitalization varies widely, with many hospitalized adults experiencing BPs higher than those recommended for the outpatient setting.

PURPOSE: To systematically identify guidelines on elevated BP management in the hospital.

DATA SOURCES: MEDLINE, Guidelines International Network, and specialty society websites from 1 January 2010 to 29 January 2024.

STUDY SELECTION: Clinical practice guidelines pertaining to BP management for the adult and older adult populations in ambulatory, emergency department, and inpatient settings.

DATA EXTRACTION: Two authors independently screened articles, assessed quality, and extracted data. Disagreements were resolved via consensus. Recommendations on treatment targets, preferred antihypertensive classes, and follow-up were collected for ambulatory and inpatient settings.

DATA SYNTHESIS: Fourteen clinical practice guidelines met inclusion criteria (11 were assessed as high-quality per the AGREE II [Appraisal of Guidelines for Research & Evaluation II] instrument), 11 provided broad BP management recommendations, and 1 each was specific to the emergency department setting, older adults, and hypertensive crises. No guidelines provided goals for inpatient BP or recommendations for managing asymptomatic moderately elevated BP in the hospital. Six guidelines defined hypertensive urgency as BP above 180/120 mm Hg, with hypertensive emergencies requiring the addition of target organ damage. Hypertensive emergency recommendations consistently included use of intravenous antihypertensives in intensive care settings. Recommendations for managing hypertensive urgencies were inconsistent, from expert consensus, and focused on the emergency department. Outpatient treatment with oral medications and follow-up in days to weeks were most often advised. In contrast, outpatient BP goals were clearly defined, varying between 130/80 and 140/90 mm Hg.

LIMITATION: Exclusion of non-English-language guidelines and guidelines specific to subpopulations.

CONCLUSION: Despite general consensus on outpatient BP management, guidance on inpatient management of elevated BP without symptoms is lacking, which may contribute to variable practice patterns.

PRIMARY FUNDING SOURCE: National Institute on Aging. (PROSPERO: CRD42023449250).

BACKGROUND: Serious illness conversations may lead to care consistent with patients' goals near the end of life. The emergency department could serve as an important time and location for these conversations.

AIM: To determine the feasibility of an emergency department-based, brief motivational interview to stimulate serious illness conversations among seriously ill older adults by trained nurses.

DESIGN: A pre-/post-intervention study.

SETTINGS/PARTICIPANTS: In an urban, tertiary care, academic medical center and a community hospital from January 2021 to January 2022, we prospectively enrolled adults ⩾50 years of age with serious illness and an expected prognosis <1 year. We measured feasibility outcomes using the standardized framework for feasibility studies. In addition, we also collected the validated 4-item Advance Care Planning Engagement Survey (a 5-point Likert scale) at baseline and 4-week follow-up and reviewing the electronic medical record for documentation related to newly completed serious illness conversations.

RESULTS: Among 116 eligible patients who were willing and able to participate, 76 enrolled (65% recruitment rate), and 68 completed the follow-up (91% retention rate). Mean patient age was 64.4 years (SD 8.4), 49% were female, and 58% had metastatic cancer. In all, 16 nurses conducted the intervention, and all participants completed the intervention with a median duration of 27 min. Self-reported Advance Care Planning Engagement increased from 2.78 pre to 3.31 post intervention (readiness to "talk to doctors about end-of-life wishes," p < 0.008). Documentation of health care proxy forms increased (62-70%) as did Medical Order for Life Sustaining Treatment (1-11%) during the 6 months after the emergency department visit.

CONCLUSION: A novel, emergency department-based, nurse-led brief motivational interview to stimulate serious illness conversations is feasible and may improve advance care planning engagement and documentation in seriously ill older adults.

Although undertreatment of older women with aggressive breast cancers has been a concern for years, there is increasing recognition that some older women are overtreated, receiving therapies unlikely to improve survival or reduce morbidity. De-escalation of surgery may include breast-conserving surgery over mastectomy for appropriate candidates and omitting or reducing extent of axillary surgery. Appropriate patients to de-escalate surgery are those with early-stage breast cancer, favorable tumor characteristics, are clinically node-negative, and who may have other major health issues. De-escalation of radiation includes reducing treatment course length through hypofractionation and ultrahypofractionation regimens, reducing treatment volumes through partial breast irradiation, omission of radiation for select patients, and reducing radiation dose to normal tissues. Shared decision making, which aims to facilitate patients making decisions concordant with their values, can guide health care providers and patients through complicated decisions optimizing breast cancer care.

BACKGROUND: Guidelines recommend shared decision making (SDM) for mammography screening for women ≥ 75 and not screening women with < 10-year life expectancy. High-quality SDM requires consideration of women's breast cancer (BC) risk, life expectancy, and values but is hard to implement because no models simultaneously estimate older women's individualized BC risk and life expectancy.

METHODS: Using competing risk regression and data from 83,330 women > 55 years who completed the 2004 Nurses' Health Study (NHS) questionnaire, we developed (in 2/3 of the cohort, n = 55,533) a model to predict 10-year non-breast cancer (BC) death. We considered 60 mortality risk factors and used best-subsets regression, the Akaike information criterion, and c-index, to identify the best-fitting model. We examined model performance in the remaining 1/3 of the NHS cohort (n = 27,777) and among 17,380 Black Women's Health Study (BWHS) participants, ≥ 55 years, who completed the 2009 questionnaire. We then included the identified mortality predictors in a previously developed competing risk BC prediction model and examined model performance for predicting BC risk.

RESULTS: Mean age of NHS development cohort participants was 70.1 years (± 7.0); over 10 years, 3.1% developed BC, 0.3% died of BC, and 20.1% died of other causes; NHS validation cohort participants were similar. BWHS participants were younger (mean age 63.7 years [± 6.7]); over 10-years 3.1% developed BC, 0.4% died of BC, and 11.1% died of other causes. The final non-BC death prediction model included 21 variables (age; body mass index [BMI]; physical function [3 measures]; comorbidities [12]; alcohol; smoking; age at menopause; and mammography use). The final BC prediction model included age, BMI, alcohol and hormone use, family history, age at menopause, age at first birth/parity, and breast biopsy history. When risk factor regression coefficients were applied in the validation cohorts, the c-index for predicting 10-year non-BC death was 0.790 (0.784-0.796) in NHS and 0.768 (0.757-0.780) in BWHS; for predicting 5-year BC risk, the c-index was 0.612 (0.538-0.641) in NHS and 0.573 (0.536-0.611) in BWHS.

CONCLUSIONS: We developed and validated a novel competing-risk model that predicts 10-year non-BC death and 5-year BC risk. Model risk estimates may help inform SDM around mammography screening.

OBJECTIVE: Supporting patient-clinician communication is key to implementing tailored, risk-based screening for older adults. Objectives of this multiphase mixed methods study were to identify factors that primary care clinicians consider influential when making screening mammography recommendations for women ≥ 75 years, develop a patient decision aid that incorporates these factors, and gather feasibility and acceptability from the patients' perspective.

METHODS: Clinicians from a Mid-Atlantic practice network completed online surveys. Women in the same network completed surveys before and after receiving a tailored booklet that included information about the benefits and harms of screening for women ≥ 75 years, a breast cancer risk-estimate, and a question prompt list to support patient-clinician communication.

RESULTS: Clinicians (N = 21) were primarily women [57.1%] and practiced family medicine [81.0%]. They cited patients' age ≥ 75 years [95.4%], comorbidity [86.4%], functional status [77.3%], cancer family history [63.6%], U.S. Preventive Services Task Force guidelines [81.8%] and new research [77.3%] as factors influencing their recommendations. Fourteen women completed baseline surveys and received personalized decision aids (Mean age = 79.1 years). Eleven completed the post-intervention survey. All were satisfied with the booklet length, 81.8% found the booklet easy to understand and 72.7% helpful in decision-making Perceived lifetime breast cancer risk decreased significantly from pre- to post-intervention (p = 0.02).

CONCLUSIONS: Results suggest this decision aid, which incorporates key decisional factors from the clinician's perspective, is feasible and acceptable to patients.

INNOVATION: A tailored decision aid booklet is innovative as it provides information on personalized risk and potential benefits and harms to older women considering screening.