Development and Evaluation of Messages for Reducing Overscreening of Breast Cancer in Older Women.

BACKGROUND: Many older women are screened for breast cancer beyond guideline-recommended thresholds. One contributor is pro-screening messaging from health care professionals, media, and family/friends. In this project, we developed and evaluated messages for reducing overscreening in older women. METHODS: We surveyed women ages 65+ who were members of a nationally representative online panel. We constructed 8 messages describing reasons to consider stopping mammograms, including guideline recommendations, false positives, overdiagnosis, and diminishing benefits from screening due to competing risks. Messages varied in their format; some presented statistical evidence, and some described short anecdotes. Each participant was randomized to read 4 of 8 messages. We also randomized participants to one of 3 message sources (clinician, family member, and news story). We assessed whether the message would make participants "want to find out more information" and "think carefully" about mammograms. RESULTS: Participants (N=790) had a mean age of 73.5 years; 25.8% were non-White. Across all messages, 73.0% of the time, participants agreed that the messages would make them seek more information (range among different messages=64.2%-78.2%); 46.5% of the time participants agreed that the messages would make them think carefully about getting mammograms (range =36.7%-50.7%). Top-rated messages mentioned false-positive anecdotes and overdiagnosis evidence. Ratings were similar for messages from clinicians and news sources, but lower from the family member source. CONCLUSIONS: Overall, participants positively evaluated messages designed to reduce breast cancer overscreening regarding perceived effects on information seeking and deliberation. Combining the top-rated messages into messaging interventions may be a novel approach to reduce overscreening.

Evaluating ChatGPT's Accuracy in Providing Screening Mammography Recommendations among Older Women: Artificial Intelligence and Cancer Communication.

Abstract Objective: The U.S. Preventive Services Task Force (USPSTF) recommends biennial screening mammography through age 74. Guidelines vary as to whether or not they recommended mammography screening to women aged 75 and older. This study aims to determine the ability of ChatGPT to provide appropriate recommendations for breast cancer screening in patients aged 75 years and older. Methods: 12 questions and 4 clinical vignettes addressing fundamental concepts about breast cancer screening and prevention in patients aged 75 years and older were created and asked to ChatGPT three consecutive times to generate 3 sets of responses. The responses were graded by a multi-disciplinary panel of experts in the intersection of breast cancer screening and aging . The responses were graded as 'appropriate', 'inappropriate', or 'unreliable' based on the reviewer's clinical judgment, content of the response, and whether the content was consistent across the three responses . Appropriateness was determined through a majority consensus. Results: The responses generated by ChatGPT were appropriate for 11/17 questions (64%). Three questions were graded as inappropriate (18%) and 2 questions were graded as unreliable (12%). A consensus was not reached on one question (6%) and was graded as no consensus. Conclusions: While recognizing the limitations of ChatGPT, it has potential to provide accurate health care information and could be utilized by healthcare professionals to assist in providing recommendations for breast cancer screening in patients age 75 years and older. Physician oversight will be necessary, due to the possibility of ChatGPT to provide inappropriate and unreliable responses, and the importance of accuracy in medicine.

Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care.

This perspective outlines the Artificial Intelligence and Technology Collaboratories (AITC) at Johns Hopkins University, University of Pennsylvania, and University of Massachusetts, highlighting their roles in developing AI-based technologies for older adult care, particularly targeting Alzheimer's disease (AD). These National Institute on Aging (NIA) centers foster collaboration among clinicians, gerontologists, ethicists, business professionals, and engineers to create AI solutions. Key activities include identifying technology needs, stakeholder engagement, training, mentoring, data integration, and navigating ethical challenges. The objective is to apply these innovations effectively in real-world scenarios, including in rural settings. In addition, the AITC focuses on developing best practices for AI application in the care of older adults, facilitating pilot studies, and addressing ethical concerns related to technology development for older adults with cognitive impairment, with the ultimate aim of improving the lives of older adults and their caregivers. HIGHLIGHTS: Addressing the complex needs of older adults with Alzheimer's disease (AD) requires a comprehensive approach, integrating medical and social support. Current gaps in training, techniques, tools, and expertise hinder uniform access across communities and health care settings. Artificial intelligence (AI) and digital technologies hold promise in transforming care for this demographic. Yet, transitioning these innovations from concept to marketable products presents significant challenges, often stalling promising advancements in the developmental phase. The Artificial Intelligence and Technology Collaboratories (AITC) program, funded by the National Institute on Aging (NIA), presents a viable model. These Collaboratories foster the development and implementation of AI methods and technologies through projects aimed at improving care for older Americans, particularly those with AD, and promote the sharing of best practices in AI and technology integration. Why Does This Matter? The National Institute on Aging (NIA) Artificial Intelligence and Technology Collaboratories (AITC) program's mission is to accelerate the adoption of artificial intelligence (AI) and new technologies for the betterment of older adults, especially those with dementia. By bridging scientific and technological expertise, fostering clinical and industry partnerships, and enhancing the sharing of best practices, this program can significantly improve the health and quality of life for older adults with Alzheimer's disease (AD).

Variation in Receipt of Cancer Screening and Immunizations by 10-year Life Expectancy among U.S. Adults aged 65 or Older in 2019.

IMPORTANCE: The likelihood of benefit from a preventive intervention in an older adult depends on its time-to-benefit and the adult's life expectancy. For example, the time-to-benefit from cancer screening is >10 years, so adults with <10-year life expectancy are unlikely to benefit. OBJECTIVE: To examine receipt of screening for breast, prostate, or colorectal cancer and receipt of immunizations by 10-year life expectancy. DESIGN: Analysis of 2019 National Health Interview Survey. PARTICIPANTS: 8,329 non-institutionalized adults >65 years seen by a healthcare professional in the past year, representing 46.9 million US adults. MAIN MEASURES: Proportions of breast, prostate, and colorectal cancer screenings, and immunizations, were stratified by 10-year life expectancy, estimated using a validated mortality index. We used logistic regression to examine receipt of cancer screening and immunizations by life expectancy and sociodemographic factors. KEY RESULTS: Overall, 54.7% of participants were female, 41.4% were >75 years, and 76.4% were non-Hispanic White. Overall, 71.5% reported being current with colorectal cancer screening, including 61.4% of those with <10-year life expectancy. Among women, 67.0% reported a screening mammogram in the past 2 years, including 42.8% with <10-year life expectancy. Among men, 56.8% reported prostate specific antigen screening in the past two years, including 48.3% with <10-year life expectancy. Reported receipt of immunizations varied from 72.0% for influenza, 68.8% for pneumococcus, 57.7% for tetanus, and 42.6% for shingles vaccination. Lower life expectancy was associated with decreased likelihood of cancer screening and shingles vaccination but with increased likelihood of pneumococcal vaccination. CONCLUSIONS: Despite the long time-to-benefit from cancer screening, in 2019 many US adults age >65 with <10-year life expectancy reported undergoing cancer screening while many did not receive immunizations with a shorter time-to-benefit. Interventions to improve individualization of preventive care based on older adults' life expectancy may improve care of older adults.

Benefits and Harms of Mammography Screening in 75 + Women to Inform Shared Decision-making: a Simulation Modeling Study.

BACKGROUND: Guidelines recommend shared decision-making (SDM) around mammography screening for women ≥ 75 years old. OBJECTIVE: To use microsimulation modeling to estimate the lifetime benefits and harms of screening women aged 75, 80, and 85 years based on their individual risk factors (family history, breast density, prior biopsy) and comorbidity level to support SDM in clinical practice. DESIGN, SETTING, AND PARTICIPANTS: We adapted two established Cancer Intervention and Surveillance Modeling Network (CISNET) models to evaluate the remaining lifetime benefits and harms of screening U.S. women born in 1940, at decision ages 75, 80, and 85 years considering their individual risk factors and comorbidity levels. Results were summarized for average- and higher-risk women (defined as having breast cancer family history, heterogeneously dense breasts, and no prior biopsy, 5% of the population). MAIN OUTCOMES AND MEASURES: Remaining lifetime breast cancers detected, deaths (breast cancer/other causes), false positives, and overdiagnoses for average- and higher-risk women by age and comorbidity level for screening (one or five screens) vs. no screening per 1000 women. RESULTS: Compared to stopping, one additional screen at 75 years old resulted in six and eight more breast cancers detected (10% overdiagnoses), one and two fewer breast cancer deaths, and 52 and 59 false positives per 1000 average- and higher-risk women without comorbidities, respectively. Five additional screens over 10 years led to 23 and 31 additional breast cancer cases (29-31% overdiagnoses), four and 15 breast cancer deaths avoided, and 238 and 268 false positives per 1000 average- and higher-risk screened women without comorbidities, respectively. Screening women at older ages (80 and 85 years old) and high comorbidity levels led to fewer breast cancer deaths and a higher percentage of overdiagnoses. CONCLUSIONS: Simulation models show that continuing screening in women ≥ 75 years old results in fewer breast cancer deaths but more false positive tests and overdiagnoses. Together, clinicians and 75 + women may use model output to weigh the benefits and harms of continued screening.

A National Survey of Physicians' Views on the Importance and Implementation of Deintensifying Diabetes Medications.

BACKGROUND: Guidelines recommend deintensifying hypoglycemia-causing medications for older adults with diabetes whose hemoglobin A1c is below their individualized target, but this rarely occurs in practice. OBJECTIVE: To understand physicians' decision-making around deintensifying diabetes treatment. DESIGN: National physician survey. PARTICIPANTS: US physicians in general medicine, geriatrics, or endocrinology providing outpatient diabetes care. MAIN MEASURES: Physicians rated the importance of deintensifying diabetes medications for older adults with type 2 diabetes, and of switching medication classes, on 5-point Likert scales. They reported the frequency of these actions for their patients, and listed important barriers and facilitators. We evaluated the independent association between physicians' professional and practice characteristics and the importance of deintensifying and switching diabetes medications using multivariable ordered logistic regression models. KEY RESULTS: There were 445 eligible respondents (response rate 37.5%). The majority of physicians viewed deintensifying (80%) and switching (92%) diabetes medications as important or very important to the care of older adults. Despite this, one-third of physicians reported deintensifying diabetes medications rarely or never. While most physicians recognized multiple reasons to deintensify, two-thirds of physicians reported barriers of short-term hyperglycemia and patient reluctance to change medications or allow higher glucose levels. In multivariable models, geriatricians rated deintensification as more important compared to other specialties (p=0.027), and endocrinologists rated switching as more important compared to other specialties (p<0.006). Physicians with fewer years in practice rated higher importance of deintensification (p<0.001) and switching (p=0.003). CONCLUSIONS: While most US physicians viewed deintensifying and switching diabetes medications as important for the care of older adults, they deintensified infrequently. Physicians had ambivalence about the relative benefits and harms of deintensification and viewed it as a potential source of conflict with their patients. These factors likely contribute to clinical inertia, and studies focused on improving shared decision-making around deintensifying diabetes medications are needed.

Resilient Adaptation Strategies: Unveiling Older Adults' Coping Dynamics Amidst the COVID-19 Pandemic.

Older adults, who are particularly vulnerable to coronavirus disease 2019 (COVID-19), exhibit less stress and greater well-being than their younger peers. However, there have been no in-depth explorations of adaptive coping strategies among this population, nor has the role of frailty status been addressed. The current study examined stress and coping in 30 U.S. older adults (mean age = 81 years, range = 68 to 95 years) amidst the COVID-19 pandemic, uncovering themes of: (1) Pandemic Stresses: stresses experienced during the pandemic centered around social isolation and concern for others' well-being; (2) Resilience: older adults proved highly adaptable, with lifetime experience as a stress buffer; and (3) Silver Linings: older adults reported positive by-products, such as reconnecting with and a renewed appreciation for life and nature. Motivation for change and change itself centered around creating value and meaning in the present, especially around social isolation. Findings challenge existing ageist stereotypes, give insight into interventional design, and highlight the importance of ensuring infrastructural and societal support. [Journal of Gerontological Nursing, 49(12), 32-39.].

Different Types of Patient Health Information Associated With Physician Decision-making Regarding Cancer Screening Cessation for Older Adults.

Importance: Although guidelines use limited life expectancy to guide physician decision-making regarding cessation of cancer screening, many physicians recommend screening for older adults with limited life expectancies. Different ways of presenting information may influence older adults' screening decision-making; whether the same is true for physicians is unknown. Objective: To examine how different ways of presenting patient health information are associated with physician decision-making about cancer screening cessation for older adults. Design, Setting, and Participants: A national survey was mailed from April 29 to November 8, 2021, to a random sample of 1800 primary care physicians and 600 gynecologists from the American Medical Association Physician Masterfile. Primary care physicians were surveyed about breast, colorectal, or prostate cancer screenings. Gynecologists were surveyed about breast cancer screening. Main Outcomes and Measures: Using vignettes of 2 older patients with limited life expectancies, 4 pieces of information about each patient were presented: (1) description of health conditions and functional status, (2) life expectancy, (3) equivalent physiological age, and (4) risk of dying from the specific cancer in the patient's remaining lifetime. The primary outcome was which information was perceived to be the most influential in screening cessation. Results: The final sample included 776 participants (adjusted response rate, 52.8%; mean age, 51.4 years [range, 27-91 years]; 402 of 775 participants were men [51.9%]; 508 of 746 participants were White [68.1%]). The 2 types of information that were most often chosen as the factors most influential in cancer screening cessation were description of the patient's health or functional status (36.7% of vignettes [569 of 1552]) and risk of death from cancer in the patient's remaining lifetime (34.9% of vignettes [542 of 1552]). Life expectancy was chosen as the most influential factor in 23.1% of vignettes (358 of 1552). Physiological age was the least often chosen (5.3% of vignettes [83 of 1552]) as the most influential factor. Description of patient's health or functional status was the most influential factor among primary care physicians (estimated probability, 40.2%; 95% CI, 36.2%-44.2%), whereas risk of death from cancer was the most influential factor among gynecologists (estimated probability, 43.1%; 95% CI, 34.0%-52.1%). Life expectancy was perceived as a more influential factor in the vignette with more limited life expectancy (estimated probability, 27.9%; 95% CI, 24.5%-31.3%) and for colorectal cancer (estimated probability, 33.9%; 95% CI, 27.3%-40.5%) or prostate cancer (28.0%; 95% CI, 21.7%-34.2%) screening than for breast cancer screening (estimated probability, 14.5%; 95% CI, 10.9%-18.0%). Conclusions and Relevance: Findings from this national survey study of physicians suggest that, in addition to the patient's health and functional status, the cancer risk in the patient's remaining lifetime and life expectancy were the factors most associated with physician decision-making regarding cancer screening cessation; information on cancer risk in the patient's remaining lifetime and life expectancy is not readily available during clinical encounters. Decision support tools that present a patient's cancer risk and/or limited life expectancy may help reduce overscreening among older adults.

When should electronic medical records reminders for cancer screening stop?-Results from a national physician survey.

BACKGROUND: Many older adults are screened for breast and colorectal cancers beyond guideline recommended thresholds. Electronic medical record (EMR) reminders are commonly used to prompt cancer screening. Behavioral economics theory suggests that changing the default settings for these reminders can be effective to reduce over-screening. We examined physician perspectives about acceptable thresholds for stopping EMR cancer screening reminders. METHODS: In a national survey of 1200 primary care physicians (PCP) and 600 gynecologists randomly selected from the AMA Masterfile, we asked physicians to choose whether EMR reminders for cancer screening should stop based on a list of criteria that included age, life expectancy, specific serious illnesses, and functional limitations. Physicians could choose multiple responses. PCPs were randomized to questions about breast or colorectal cancer screening. RESULTS: A total of 592 physicians participated (adjusted response rate 54.1%). 54.6% chose age and 71.8% chose life expectancy as criteria for stopping EMR reminders; only 30.6% chose functional limitations. Regarding age thresholds, 52.4% chose ages ≤75, 42.0% chose a threshold between 75 and 85, 5.6% would not stop reminders even at age 85. Regarding life expectancy thresholds, 32.0% chose ≥10 years, 53.1% chose a threshold between 5 and 9 years, 14.9% would not stop reminders even when life expectancy is <5 years. CONCLUSIONS: We found that many physicians would continue EMR reminders for cancer screening even in light of older age, limited life expectancy, and functional limitations. This may reflect reluctance to stop cancer screening and/or reluctance to stop EMR reminders so that physicians can retain control to decide for individual patients, for example, to assess patient preference and ability to tolerate treatment. There was consensus for stopping EMR reminders at ages 85+ and <5-year life expectancy. Interventions that seek to reduce over-screening by suppressing EMR reminders may be important for these groups but may have limited physician buy-in outside these thresholds.

Clinician and patient perspectives on screening mammography among women age 75 and older: A pilot study of a novel decision aid.

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.

Reducing Overuse by Healthcare Systems: A Positive Deviance Analysis.

BACKGROUND: Healthcare in the USA is increasingly delivered by large healthcare systems that include one or more hospitals and associated outpatient practices. It is unclear what role healthcare systems play in driving or preventing overutilization of healthcare services in the USA. OBJECTIVE: To learn how high-value healthcare systems avoid overuse of services DESIGN: We identified "positive deviant" health systems using a previously constructed Overuse Index. These systems have much lower-than-average overuse of healthcare services. We confirmed that these health systems also delivered high-quality care. We conducted semi-structured interviews with executive leaders of these systems to validate a published framework for understanding drivers of overuse. PARTICIPANTS: Leaders at select healthcare systems in the USA. INTERVENTIONS: None APPROACH: We developed an interview guide and conducted semi-structured interviews. We iteratively developed a code book. Paired reviewers coded and reconciled each interview. We analyzed the interviews by applying constant comparative techniques. We mapped the emergent themes to provide the first empirical data to support a previously developed theoretical framework. KEY RESULTS: We interviewed 15 leaders from 10 diverse healthcare systems. Consistent with important domains from the overuse framework, themes from our study support the role of clinicians and patients in avoiding overuse. The leaders described how they create a culture of professional practice and how they modify clinicians' attitudes to facilitate high-value practices. They also described how their patients view healthcare consumption and the characteristics of their patient populations allowed them to practice high-value medicine. They described the role of quality metrics, insurance plan ownership, and alternative payment model participation as encouraging avoidance of overuse. CONCLUSIONS: Our qualitative analysis of positive deviant health systems supports the framework that is in the published literature, although health system leaders also described their financial structures as another important factor for reducing overuse and encouraging high-value care delivery.

A National Physician Survey of Deintensifying Diabetes Medications for Older Adults With Type 2 Diabetes.

OBJECTIVE: To determine physicians' approach to deintensifying (reducing/stopping) or switching hypoglycemia-causing medications for older adults with type 2 diabetes. RESEARCH DESIGN AND METHODS: In this national survey, U.S. physicians in general medicine, geriatrics, or endocrinology reported changes they would make to hypoglycemia-causing medications for older adults in three scenarios: good health, HbA1c of 6.3%; complex health, HbA1c of 7.3%; and poor health, HbA1c of 7.7%. RESULTS: There were 445 eligible respondents (response rate 37.5%). In patient scenarios, 48%, 4%, and 20% of physicians deintensified hypoglycemia-causing medications for patients with good, complex, and poor health, respectively. Overall, 17% of physicians switched medications without significant differences by patient health. One-half of physicians selected HbA1c targets below guideline recommendations for older adults with complex or poor health. CONCLUSIONS: Most U.S. physicians would not deintensify or switch hypoglycemia-causing medications within guideline-recommended HbA1c targets. Physician preference for lower HbA1c targets than guidelines needs to be addressed to optimize deintensification decisions.

Older adult preferences regarding benefits and harms of statin and aspirin therapy for cardiovascular primary prevention.

Objective: Personalizing preventive therapies for atherosclerotic cardiovascular disease (ASCVD) is particularly important for older adults, as they tend to have multiple chronic conditions, increased risk for medication adverse effects, and may have heterogenous preferences when weighing health outcomes. However, little is known about outcome preferences related to ASCVD preventive therapies in older adults. Methods: In May 2021, using an established online panel, KnowledgePanel, we surveyed older US adults aged 65-84 years without history of ASCVD on outcome preferences related to statin therapy (benefit outcomes to be reduced by the therapy: heart attack, stroke; adverse effects: diabetes, abnormal liver test, muscle pain) or aspirin therapy (benefit outcomes: heart attack, stroke; adverse effects: brain bleed, bowel bleed, stomach ulcer). We used standardized best-worst scores (range of -1 for "least worrisome" to +1 for "most worrisome") and conditional logistic regression to examine the relative importance of the outcomes. Results: In this study, 607 ASCVD-free participants (median age 74, 46% male, 81% White) were included; 304 and 303 completed the statin and aspirin versions of the survey, respectively. For statin-related outcomes, stroke and heart attack were most worrisome (score 0.55; 95% CI 0.51, 0.60) and (0.53; 0.48, 0.58), followed by potential harms of diabetes (-0.07; -0.10, -0.03), abnormal liver test (-0.25; -0.29, -0.20), and muscle pain (-0.77; -0.82, -0.73). For aspirin-related outcomes, stroke and heart attack were similarly most worrisome (0.48; 0.43, 0.52) and (0.43; 0.38, 0.48), followed by brain bleed (0.30; 0.25, 0.34), bowel bleed (-0.31; -0.33, -0.28), and stomach ulcer (-0.90; -0.92, -0.87). Conditional logistic regression and subgroup analyses by age, sex, and race yielded similar results. Conclusions: Older adults generally consider outcomes related to benefits of ASCVD primary preventive therapies-stroke and heart attack-more important than their adverse effects. Integrating patient preferences with risk assessment is an important next step for personalizing ASCVD preventive therapies for older adults.

Breast and prostate cancer screening rates by cognitive status in US older adults.

INTRODUCTION: For most older adults with dementia, the short-term harms and burdens of routine cancer screening likely outweigh the delayed benefits. We aimed to provide a more updated assessment of the extent that US older adults with dementia receive breast and prostate cancer screenings. METHODS: Using the Health and Retirement Study (HRS) Wave 12 (2014-2015) linked to Medicare, we examine rates of breast and prostate cancer screenings in adults 65+ years by cognitive status. We used claims data to identify eligibility for screening and receipt of screening. We used a validated method using HRS data to define cognitive status. RESULTS: The analytic sample included 2439 women in the breast cancer screening cohort and 1846 men in the prostate cancer screening cohort. Average ages were 76.8 years for women and 75.6 years for men, with 9.0% and 7.6% with dementia in each cohort, respectively. Among women with dementia, 12.3% were screened for breast cancer. When stratified by age, 10.6% of those 75+ and have dementia were screened for breast cancer. When stratified by predicted life expectancy, 10.4% of those with predicted life expectancy of <10 years and have dementia were screened for breast cancer. Among men with dementia, 33.9% were screened for prostate cancer. When stratified by age, 30.9% of those 75+ and have dementia were screened for prostate cancer. When stratified by predicted life expectancy, 34.4% of those with predicted life expectancy of <10 years and have dementia were screened for prostate cancer. Using multivariable logistic regression, dementia was associated with lower odds of receiving breast cancer screening (OR 0.36, 95% CI 0.23-0.57) and prostate cancer screening (OR 0.58, 95% CI 0.36-0.96). DISCUSSION: Our results suggest potential over-screening in older adults with dementia. Better supporting dementia patients and caregivers to make informed cancer screening decisions is critical.

Physician Decision-Making About Surveillance in Older Adults With Prior Adenomas: Results From a National Survey.

INTRODUCTION: There is no clear guidance on when surveillance colonoscopies should stop in older adults with prior adenomas. We aimed to examine physicians' decision-making regarding surveillance colonoscopies in older adults. METHODS: In a national mailed survey of 1,800 primary care physicians (PCP) and 600 gastroenterologists, we asked whether physicians would recommend surveillance colonoscopy in vignettes where we varied patient age (75 and 85 years), health (good, medium, and poor), and prior adenoma risk (low and high). We examined the association between surveillance recommendations and patient and physician characteristics using logistic regression. We also assessed decisional uncertainty, need for decision support, and decision-making roles. RESULTS: Of 1,040 respondents (response rate 54.8%), 874 were eligible and included. Recommendation for surveillance colonoscopies was lower if patient was older (adjusted proportions 20.6% vs 49.8% if younger), in poor health (adjusted proportions 7.1% vs 28.8% moderate health, 67.7% good health), and prior adenoma was of low risk (adjusted proportions 29.7% vs 41.6% if high risk). Family medicine physicians were most likely and gastroenterologists were least likely to recommend surveillance (adjusted proportions 40.0% vs 30.9%). Approximately 52.3% of PCP and 35.4% of gastroenterologists reported uncertainty regarding the benefit/harm balance of surveillance in older adults. Most (85.9% PCP and 77.0% gastroenterologists) would find a decision support tool helpful. Approximately 32.8% of PCP vs 71.5% of gastroenterologists perceived it as the gastroenterologist's role to decide about surveillance colonoscopies. DISCUSSION: Studies to better evaluate the benefits/harms of surveillance colonoscopy in older adults and decisional support tools that help physicians and patients incorporate such data are needed.

Harm and Medication-Type Impact Agreement with Hypothetical Deprescribing Recommendations: a Vignette-Based Experiment with Older Adults Across Four Countries.

BACKGROUND: Little is known about what factors are important to older adults when deciding whether to agree with a recommendation to deprescribe. OBJECTIVE: To explore the extent to which medication type and rationale for potential discontinuation influence older adults' acceptance of deprescribing. DESIGN: Cross-sectional 2 (drug: lansoprazole - treat indigestion; simvastatin - prevent cardiovascular disease) by 3 (deprescribing rationale: lack of benefit; potential for harm; both) experimental design. PARTICIPANTS: Online panelists aged ≥65 years from Australia, the Netherlands, the United Kingdom, and the United States INTERVENTIONS: Participants were presented with a hypothetical patient experiencing polypharmacy whose PCP discussed stopping a medication. We randomized participants to receive one of six vignettes. MAIN MEASURES: We measured agreement with deprescribing (6-point Likert scale, "Strongly disagree (1)" and "Strongly agree (6)") for the hypothetical patient as the primary outcome. We also measured participants' personality traits, perceptions of risk and uncertainty, and attitudes towards polypharmacy and deprescribing. KEY RESULTS: Among 5311 participants (93.3% completion rate), the mean (M) agreement with deprescribing for the hypothetical patient was 4.71 (95% confidence interval (CI): 4.67, 4.75). Participants reported higher agreement with stopping lansoprazole (n=2656) (M=4.90, 95% CI: 4.85, 4.95) compared to simvastatin (n=2655) (M=4.53, 95% CI: 4.47, 4.58), P<.001. Participants who received the combination rationale (n=1786) reported higher agreement with deprescribing (M=4.83, 95% CI: 4.76, 4.89) compared to those who received the rationales on lack of benefit (n=1755) (M=4.66, 95% CI: 4.60, 4.73) or potential for harm (n=1770) (M=4.65, 95% CI 4.58, 4.72). In adjusted regression analyses (n=5062), participants with a higher desire to engage in health promotion behaviors (b=0.08, 95% CI 0.02, 0.13) or need for certainty (b=0.12, 95% CI 0.04, 0.20) reported higher agreement with deprescribing. CONCLUSIONS: Older adults across four countries were accepting of deprescribing in the setting of polypharmacy. The medication type and rationale for discontinuation were important factors in the decision-making process. TRIAL REGISTRATION: ClinicalTrials.gov , NCT04676282, https://clinicaltrials.gov/ct2/show/NCT04676282?term=vordenberg&draw=2&rank=1.

A Qualitative Study of Perspectives of Older Adults on Deintensifying Diabetes Medications.

BACKGROUND: While many older adults with type 2 diabetes have tight glycemic control beyond guideline-recommended targets, deintensifying (stopping or dose-reducing) diabetes medications rarely occurs. OBJECTIVE: To explore the perspectives of older adults with type 2 diabetes around deintensifying diabetes medications. DESIGN: This qualitative study used individual semi-structured interviews, which included three clinical scenarios where deintensification may be indicated. PARTICIPANTS: Twenty-four adults aged ≥65 years with medication-treated type 2 diabetes and hemoglobin A1c <7.5% were included (to thematic saturation) using a maximal variation sampling strategy for diabetes treatment and physician specialty. APPROACH: Interviews were independently coded by two investigators and analyzed using a grounded theory approach. We identified major themes and subthemes and coded responses to the clinical scenarios as positive (in favor of deintensification), negative, or ambiguous. KEY RESULTS: Participants' mean age was 74 years, half were women, and 58% used a sulfonylurea or insulin. The first of four major themes was fear of losing control of diabetes, which participants weighed against the benefits of taking less medication (Theme 2). Few participants viewed glycemic control below target as a reason for deintensification and a majority would restart the medication if their home glucose increased. Some participants were anchored to their current diabetes treatment (Theme 3) driven by unrealistic views of medication benefits. A trusting patient-provider relationship (Theme 4) was a positive influence. In clinical scenarios, 8%, 4%, and 75% of participants viewed deintensification positively in the setting of poor health, limited life expectancy, and high hypoglycemia risk, respectively. CONCLUSIONS: Optimizing deintensification requires patient education that describes both individualized glycemic targets and how they will change over the lifespan. Deintensification is an opportunity for shared decision-making, but providers must understand patients' beliefs about their medications and address misconceptions. Hypoglycemia prevention may be a helpful framing for discussing deintensification.