Publications

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.

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.

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.

CONTEXT: During acute health decompensations for seriously ill patients, emergency clinicians often determine the intensity end-of-life care. Little is known about how emergency clinicians conduct these conversations, especially among those who have received serious illness communication training.

OBJECTIVES: To determine the self-reported practice patterns of code status conversations by emergency clinicians with and without serious illness communication training.

METHODS: A cross-sectional survey was conducted among emergency clinicians with and without a recent evidence-based, serious illness communication training tailored for emergency clinicians. Emergency clinicians were included from two academic medical centers. A five-point Likert scale ("very unlikely" to "very likely" to ask) was used to assess the self-reported likelihood of asking about patients' preferences for medical procedures and patients' values and goals.

RESULTS: Among 161 respondents (71% response rate), 77 (48%) received the training. A total of 70% of emergency clinicians reported asking about procedure-based questions, and only 38% reported asking about patient's values regarding end-of-life care. For value-based questions, statistically significant differences were observed between emergency clinicians who underwent the training and those who did not in four of the seven questions asked (e.g., the higher odds of exploring the patient's life priorities [adjusted OR = 4.34, 95% CI = 1.95-9.65, P-value < 0.001]). No difference was observed in the self-reported rates of all procedure-based questions between the two groups.

CONCLUSION: Most emergency clinicians reported asking about procedure-based questions, and some asked about patient's value-based questions. Clinicians with recent serious illness communication training may ask more about some values and priorities.

BACKGROUND: Emergency department (ED) visits are common at the end-of-life, but the identification of patients with life-limiting illness remains a key challenge in providing timely and resource-sensitive advance care planning (ACP) and palliative care services. To date, there are no validated, automatable instruments for ED end-of-life screening. Here, we developed a novel electronic health record (EHR) prognostic model to screen older ED patients at high risk for 6-month mortality and compare its performance to validated comorbidity indices.

METHODS: This was a retrospective, observational cohort study of ED visits from adults aged ≥65 years who visited any of 9 EDs across a large regional health system between 2014 and 2019. Multivariable logistic regression that included clinical and demographic variables, vital signs, and laboratory data was used to develop a 6-month mortality predictive model-the Geriatric End-of-life Screening Tool (GEST) using five-fold cross-validation on data from 8 EDs. Performance was compared to the Charlson and Elixhauser comorbidity indices using area under the receiver-operating characteristic curve (AUROC), calibration, and decision curve analyses. Reproducibility was tested against data from the remaining independent ED within the health system. We then used GEST to investigate rates of ACP documentation availability and code status orders in the EHR across risk strata.

RESULTS: A total of 431,179 encounters by 123,128 adults were included in this study with a 6-month mortality rate of 12.2%. Charlson (AUROC (95% CI): 0.65 (0.64-0.69)) and Elixhauser indices (0.69 (0.68-0.70)) were outperformed by GEST (0.82 (0.82-0.83)). GEST displayed robust performance across demographic subgroups and in our independent validation site. Among patients with a greater than 30% mortality risk using GEST, only 5.0% had ACP documentation; 79.0% had a code status previously ordered, of which 70.7% were full code. In decision curve analysis, GEST provided greater net benefit than the Charlson and Elixhauser scores.

CONCLUSIONS: Prognostic models using EHR data robustly identify high mortality risk older adults in the ED for whom code status, ACP, or palliative care interventions may be of benefit. Although all tested methods identified patients approaching the end-of-life, GEST was most performant. These tools may enable resource-sensitive end-of-life screening in the ED.

To learn how to improve telemedicine for adults >65, we asked primary care clinicians ("PCPs") affiliated with one large Boston-area health system their views on using telemedicine (which included phone-only or video visits) with adults >65 during the COVID-19 pandemic. In open-ended questions, we asked PCPs to describe any challenges or useful experiences with telemedicine and suggestions for improving telemedicine as part of a larger web-based survey conducted between September 2020 and February 2021. Overall, 163/383 (42%) PCPs responded to the survey. Of these, 114 (70%) completed at least one open-ended question, 85% were non-Hispanic white, 59% were female, 75% were community-based, and 75% were in practice >20 years. We identified three major themes in participants' comments including the need to optimize telemedicine; integrate telemedicine within primary care; and that PCPs had disparate attitudes towards telemedicine for older adults. To optimize telemedicine, PCPs recommended more effective digital platforms, increased utilization of home medical equipment (e.g., blood pressure cuffs), and better coordination with caregivers. For integration, PCPs recommended targeting telemedicine for certain types of visits (e.g., chronic disease management), enabling video access, and reducing administrative burdens on PCPs. As for PCP attitudes, some felt telemedicine enhanced the doctor-patient relationship, improved the patient experience, and improved show rates. Others felt that telemedicine visits were incomplete without a physical exam, were less rewarding, and could be frustrating. Overall, PCPs saw a role for telemedicine in older adults' care but felt that more support is needed for these visits than currently offered.

IMPORTANCE: Randomized clinical trial data have demonstrated that omission of surgical axillary evaluation does not affect overall survival in women 70 years and older with early-stage (clinical tumor category 1 [cT1] with node-negative [N0] disease) hormone receptor (HR)-positive and erb-B2 receptor tyrosine kinase 2 (ERBB2; formerly HER2)-negative breast cancer. Therefore, the Choosing Wisely initiative has recommended against routine use of sentinel lymph node biopsy (SLNB) in this population; however, retrospective data have revealed that more than 80% of patients eligible for SLNB omission still undergo the procedure. Multidisciplinary factors involved in these patterns remain unclear.

OBJECTIVE: To describe surgical, medical, and radiation oncologists' perspectives on omission of SLNB in women 70 years and older with cT1N0 HR-positive, ERBB2-negative breast cancer.

DESIGN, SETTING, AND PARTICIPANTS: This qualitative study used in-depth semi-structured interviews to explore the factors involved in oncologists' perspectives on providing care to older women who were eligible for SLNB omission. Purposive snowball sampling was used to recruit a sample of surgical, medical, and radiation oncologists representing a wide range of practice types and number of years in practice in the US and Canada. A total of 29 oncologists who finished training and were actively treating patients with breast cancer were interviewed. Interviews were conducted between March 1, 2020, and January 17, 2021.

MAIN OUTCOMES AND MEASURES: Recordings from semi-structured interviews were transcribed and deidentified. Thematic analysis was used to identify emergent themes.

RESULTS: Among 29 physicians (16 women [55.2%] and 13 men [44.8%]) who participated in interviews, 16 were surgical oncologists, 6 were medical oncologists, and 7 were radiation oncologists. Data on race and ethnicity were not collected. Participants had a range of experience (median [range] years in practice, 12.0 [0.5-30.0]) and practice types (14 academic [48.3%], 7 community [24.1%], and 8 hybrid [27.6%]). Interviews revealed that the decision to omit SLNB was based on nuanced patient- and disease-level factors. Wide variation was observed in oncologists' perspectives on SLNB omission recommendations and supporting data. In addition, participants' statements suggested that the multidisciplinary nature of cancer care may increase oncologists' anxiety regarding SLNB omission.

CONCLUSIONS AND RELEVANCE: In this study, findings from interviews revealed that oncologists' perspectives may have implications for the largely unsuccessful deimplementation of SLNB in women 70 years and older with cT1N0 HR-positive, ERBB2-negative breast cancer. Interventions aimed at educating physicians, improving patient-physician communication, and facilitating preoperative multidisciplinary conversations may help to successfully decrease SLNB rates in this patient population.