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INTRODUCTION: Continuity and coordination-of-care for childhood cancer survivors with multiple chronic conditions are understudied but critical for appropriate follow-up care. METHODS: From April through June 2022, 800 Childhood Cancer Survivor Study participants with two or more chronic conditions (one or more severe/life-threatening/disabling) were emailed the "Patient Perceived Continuity-of-Care from Multiple Clinicians" survey. The survey asked about survivors' main (takes care of most health care) and coordinating (ensures follow-up) provider, produced three care-coordination summary scores (main provider, across multiple providers, patient-provider partnership), and included six discontinuity indicators (e.g., having to organize own care). Discontinuity (yes/no) was defined as poor care on one or more discontinuity item. Chi-square tests assessed associations between discontinuity and sociodemographics. Modified Poisson regression models estimated prevalence ratios (PRs) for discontinuity risk associated with the specialty and number of years seeing the main and coordinating provider, and PRs associated with better scores on the three care-coordination summary measures. Inverse probability weights adjusted for survey non-participation. RESULTS: A total of 377 (47%) survivors responded (mean age 48 years, 68% female, 89% non-Hispanic White, 78% privately insured, 74% ≥college graduate); 147/373 (39%) reported discontinuity. Younger survivors were more likely to report discontinuity (chi-square p = .02). Seeing the main provider ≤3 years was associated with more prevalent discontinuity (PR; 95%CI) (1.17; 1.02-1.34 vs ≥ 10 years). Cancer specialist main providers were associated with less prevalent discontinuity (0.81; 0.66-0.99 vs. primary care). Better scores on all three care-coordination summary measures were associated with less prevalent discontinuity: main provider (0.73; 0.64-0.83), across multiple providers (0.81; 0.78-0.83), patient-provider partnership (0.85; 0.80-0.89). CONCLUSIONS: Care discontinuity among childhood cancer survivors is prevalent and requires intervention.
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BACKGROUND: Public health campaigns have often used persuasive techniques to promote healthy behaviors but the use of persuasion by doctors is controversial. We sought to examine older women's perspectives. METHODS: We conducted semi-structured interviews with 20 community-dwelling older women from the Baltimore metropolitan area. We asked whether participants thought it was ethically appropriate for doctors to try to persuade patients and explored their rationales. We probed about commonly used persuasive techniques and two example decisional contexts-stopping mammograms and moving out of one's house after multiple falls. We used qualitative thematic analysis to code the transcripts and summarized results into major themes. RESULTS: We found mixed views on the ethical appropriateness of persuasion (theme 1); supporters of persuasion were motivated by the potential benefit to patients' health, whereas opponents thought patients should be the ultimate decision-makers. Perspectives depended on the persuasive technique (theme 2), where emotional appeals elicited the most negative reactions while use of facts and patient stories were viewed more positively. Perspectives also varied by the decisional context (theme 3), where higher severity and certainty of harm influenced participants to be more accepting of persuasion. Participants suggested alternative communication approaches to persuasion (theme 4) that emphasized respect for patients. CONCLUSIONS: Our findings suggest that the type of persuasive technique and the decisional context are important considerations in the ethical debate around the use of persuasion. Limiting the use of persuasion to high-stakes decisions and using facts and patient stories rather than emotional appeals are likely more acceptable.
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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.
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Breast Neoplasms , Early Detection of Cancer , Humans , Female , Breast Neoplasms/diagnosis , Breast Neoplasms/psychology , Breast Neoplasms/prevention & control , Aged , Early Detection of Cancer/methods , Early Detection of Cancer/psychology , United States , Intention , Aged, 80 and over , Surveys and QuestionnairesABSTRACT
BACKGROUND: Social isolation and loneliness are pervasive issues among older adults in the United States, carrying significant health risks. Low-income older adults are particularly vulnerable to these challenges compared with their higher-income counterparts due to their limited access to resources and social networks. Many low-income older adults live in subsidized housing, which has the potential to offer unique support tailored to their needs. The intersection of aging and the unique social circumstances faced by low-income older adults significantly influences how they navigate crises. METHODS: We conducted semi-structured interviews with 24 older adults aged 63-86 residing in subsidized housing communities in the United States. The data were collected from August 2021 to November 2022 and subsequently analyzed using a thematic constant comparison analysis approach. RESULTS: Many participants felt connected to their housing community. Participants reported that their lives changed substantially due to the pandemic: communal activities ceased leading to isolation and feelings of loneliness. Amid this challenge, participants were resourceful and found creative ways to manage. Many emphasized the crucial role of technology in maintaining emotional support despite physical separation. CONCLUSIONS: Participants in subsidized housing shared their experiences before and during this unique crisis highlighting the challenges they face, as well as their resilience and adaptability when facing challenges. Our findings underscore the significance of community activation, demonstrating that activities motivated older adults to improve their well-being. Additionally, the role of technology in maintaining connections proved to be crucial.
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OBJECTIVES: To produce a consensus list of the top 10 signs and symptoms suggestive of adverse drug events (ADEs) for monitoring in residents of long-term care facilities (LTCFs) who use antipsychotics, benzodiazepines, or antidepressants. DESIGN: A 3-round Delphi study. SETTING AND PARTICIPANTS: Geriatricians, psychiatrists, pharmacologists, general practitioners, pharmacists, nurses, and caregivers from 13 Asia Pacific, European, and North American countries. METHODS: Three survey rounds were completed between April and June 2023. In Round 1, participants indicated their level of agreement on a 9-point Likert scale on whether 41 signs or symptoms identified in a systematic review should be routinely monitored. Participants considered signs and symptoms that reduce quality of life or cause significant harm, are observable or measurable by nurses or care workers, and can be assessed at a single time point. Round 1 statements were included in a list for prioritization in Round 3 if ≥ 70% of participants responded ≥7 on the Likert scale. Statements were excluded if ≤ 30% of participants responded ≥7. In Round 2, participants indicated their level of agreement with statements that did not reach initial consensus, plus amended statements based on Round 1 participant feedback. Round 2 statements were included in Round 3 if ≥ 50% of the participants responded ≥7 on the Likert scale. In Round 3, participants prioritized the signs and symptoms. RESULTS: Forty-four participants (93.6%) completed all 3 rounds. Four of 41 signs and symptoms reached consensus for inclusion after Round 1, and 9 after Round 2. The top 10 signs and symptoms prioritized in Round 3 were recent falls, daytime drowsiness or sleepiness, abnormal movements (eg, shaking or stiffness), confusion or disorientation, balance problems, dizziness, postural hypotension, reduced self-care, restlessness, and dry mouth. CONCLUSIONS AND IMPLICATIONS: The top 10 signs and symptoms provide a basis for proactive monitoring for psychotropic ADEs.
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CONTEXT: Advance care planning (ACP) is critical among primary care patients with cognitive impairment, but few interventions have tested ACP with this population. OBJECTIVE: Describe the development and evaluation of a tool for assessing ACP fidelity within the context of cognitive impairment, including inter-rater reliability, convergent validity, and overall fidelity using clinical trial data. DESIGN: SHARE is a multicomponent intervention inclusive of facilitated ACP conversations. From a two group, single blind, randomized controlled trial, recorded ACP conversations were rated for fidelity. 145 primary care patients and their care partners were randomized to receive the intervention. Participating patients were 80+ years, had a care partner, and indications of cognitive impairment. An ACP Fidelity Checklist was developed with three subscales: Meeting Set-Up; ACP Meeting Topics; and Communication Skills. Scores were converted to percentages (100% = perfect fidelity) with a target of ≥80% fidelity. A post-ACP meeting report completed by ACP facilitators was used to assess convergent validity of the checklist. Intra-class correlation (ICC) was to evaluate inter-rater reliability. RESULTS: ACP conversations averaged 33.6 minutes (SD = 14.1). The mean fidelity score across N = 91 rated meetings was 82.9%, with a range of 77.3%-90.6% for subscales. 63.7% of meetings achieved a rating of ≥80%. Cognitive function was positively associated with patient participation (rho = .59, P < 0.001). For checklist items, ICC scores ranged from 0.43-0.96. Post-ACP meeting form scores were correlated with the checklist Meeting Topics subscale (r = 0.36, P = 0.001). CONCLUSIONS: Assessing the fidelity of ACP conversations involving primary care patients living with cognitive impairment and their care partners is feasible.
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Advance Care Planning , Checklist , Cognitive Dysfunction , Humans , Male , Female , Aged, 80 and over , Cognitive Dysfunction/therapy , Reproducibility of Results , Single-Blind Method , Primary Health Care , Communication , AgedABSTRACT
BACKGROUND: Deprescribing is the planned/supervised method of dose reduction or cessation of medications that might be harmful, or no longer be beneficial. Though benefits of deprescribing are debatable in improving clinical outcomes, it has been associated with decreased number of potentially inappropriate medications, which may potentially reduce the risk of adverse events among hospitalized older adults. With unclear evidence for deprescribing in this population, this study aimed to examine time-to-first unplanned healthcare utilization, which included 90-day emergency department (ED) visits or hospital readmission and associated predictors, during a deprescribing intervention. METHODS: A secondary data analysis of a clinical trial (Shed-MEDS NCT02979353) was performed. Cox regression was used to compare the time-to-first 90-day ED visit/readmission/death from hospital discharge for the intervention and control groups. Additionally, we performed exploratory analysis of predictors (comorbidities, functional health status, drug burden index (DBI), hospital length of stay, health literacy, food insecurity, and financial burden) associated with the time-to-first 90-day ED visit/readmission/death. RESULTS: The hazard of first 90-day ED visits/readmissions/death was 15% lower in the intervention versus the control group (95% CI: 0.61-1.19, p = 0.352, respectively); however, this difference was not statistically significant. For every additional number of comorbidities (Hazard ratio (HR): 1.12, 95% CI: 1.04-1.21) and each additional day of hospital length of stay (HR: 1.04, 95% CI: 1.01-1.07) were significantly associated with a higher hazard of 90-day ED visit/readmission/death in the intervention group; whereas for each unit of increase in pre-hospital DBI score (HR: 1.08 and HR 1.16, respectively) was significantly associated with a higher hazard of 90-day ED visit/readmission/death in the control group. CONCLUSIONS: The intervention and control groups had comparable time-to-first 90-day ED visit/readmission/death during a deprescribing intervention. This finding suggests that deprescribing did not result in a higher risk of ED visit/readmission/death during the 90-day period following hospital discharge.
Subject(s)
Deprescriptions , Emergency Service, Hospital , Patient Readmission , Humans , Emergency Service, Hospital/statistics & numerical data , Male , Patient Readmission/statistics & numerical data , Female , Aged , Aged, 80 and over , Hospitalization/statistics & numerical data , Patient Discharge/statistics & numerical data , Length of Stay/statistics & numerical data , Emergency Room VisitsABSTRACT
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.
Subject(s)
Breast Neoplasms , Humans , Female , Aged , Breast Neoplasms/diagnosis , Breast Neoplasms/prevention & control , Mammography , Surveys and QuestionnairesABSTRACT
BACKGROUND: People living with dementia (PLWD) have complex medication regimens, exposing them to increased risk of harm. Pragmatic deprescribing strategies that align with patient-care partner goals are needed. METHODS: A pilot study of a pharmacist-led intervention to optimize medications with patient-care partner priorities, ran May 2021-2022 at two health systems. PLWD with ≥7 medications in primary care and a care partner were enrolled. After an introductory mailing, dyads were randomized to a pharmacist telehealth intervention immediately (intervention) or delayed by 3 months (control). Feasibility outcomes were enrollment, intervention completion, pharmacist time, and primary care provider (PCP) acceptance of recommendations. To refine pragmatic data collection protocols, we assessed the Medication Regimen Complexity Index (MRCI; primary efficacy outcome) and the Family Caregiver Medication Administration Hassles Scale (FCMAHS). RESULTS: 69 dyads enrolled; 27 of 34 (79%) randomized to intervention and 28 of 35 (80%) randomized to control completed the intervention. Most visits (93%) took more than 20 min and required multiple follow-up interactions (62%). PCPs responded to 82% of the pharmacists' first messages and agreed with 98% of recommendations. At 3 months, 22 (81%) patients in the intervention and 14 (50%) in the control had ≥1 medication discontinued; 21 (78%) and 12 (43%), respectively, had ≥1 new medication added. The mean number of medications decreased by 0.6 (3.4) in the intervention and 0.2 (1.7) in the control, reflecting a non-clinically meaningful 1.0 (±12.4) point reduction in the MRCI among intervention patients and a 1.2 (±12.9) point increase among control. FCMAHS scores decreased by 3.3 (±18.8) points in the intervention and 2.5 (±14.4) points in the control. CONCLUSION: Though complex, pharmacist-led telehealth deprescribing is feasible and may reduce medication burden in PLWD. To align with patient-care partner goals, pharmacists recommended deprescribing and prescribing. If scalable, such interventions may optimize goal-concordant care for PLWD.
Subject(s)
Dementia , Deprescriptions , Pharmacists , Polypharmacy , Primary Health Care , Telemedicine , Humans , Pilot Projects , Female , Male , Dementia/drug therapy , Aged , Aged, 80 and over , Caregivers , Feasibility StudiesSubject(s)
Cognitive Dysfunction , Dementia , Independent Living , Humans , Dementia/epidemiology , Male , Female , Aged , Aged, 80 and over , PolypharmacyABSTRACT
BACKGROUND: Patients, family members, and clinicians express concerns about potential adverse drug withdrawal events (ADWEs) following medication discontinuation or fears of upsetting a stable medical equilibrium as key barriers to deprescribing. Currently, there are limited methods to pragmatically assess the safety of deprescribing and ascertain ADWEs. We report the methods and results of safety monitoring for the OPTIMIZE trial of deprescribing education for patients, family members, and clinicians. METHODS: This was a pragmatic cluster randomized trial with multivariable Poisson regression comparing outcome rates between study arms. We conducted clinical record review and adjudication of sampled records to assess potential causal relationships between medication discontinuation and outcomes. This study included adults aged 65+ with dementia or mild cognitive impairment, one or more additional chronic conditions, and prescribed 5+ chronic medications. The intervention included an educational brochure on deprescribing that was mailed to patients prior to primary care visits, a clinician notification about individual brochure mailings, and an educational tip sheets was provided monthly to primary care clinicians. The outcomes of the safety monitoring were rates of hospitalizations and mortality during the 4 months following brochure mailings and results of record review and adjudication. The adjudication process was conducted throughout the trial and included classifications: likely, possibly, and unlikely. RESULTS: There was a total of 3012 (1433 intervention and 1579 control) participants. There were 420 total hospitalizations involving 269 (18.8%) people in the intervention versus 517 total hospitalizations involving 317 (20.1%) people in the control groups. Adjusted risk ratios comparing intervention to control groups were 0.92 [95% confidence interval (CI) 0.72, 1.16] for hospitalization and 1.19 (95% CI 0.67, 2.11) for mortality. Both groups had zero deaths "likely" attributed to a medication change prior to the event. A total of 3 out of 30 (10%) intervention group hospitalizations and 7 out of 35 (20%) control group hospitalizations were considered "likely" due to a medication change. CONCLUSIONS: Population-based deprescribing education is safe in the older adult population with cognitive impairment in our study. Pragmatic methods for safety monitoring are needed to further inform deprescribing interventions. TRIAL REGISTRATION: NCT03984396. Registered on 13 June 2019.
Subject(s)
Deprescriptions , Drug-Related Side Effects and Adverse Reactions , Aged , Humans , Drug-Related Side Effects and Adverse Reactions/prevention & control , HospitalizationABSTRACT
STUDY OBJECTIVE: The emergency department (ED) poses unique challenges and risks to persons living with dementia. A longer ED length of stay is associated with the risk of death, delirium, and medication errors. We sought to determine whether ED length of stay differed by dementia status and trends in ED length of stay for persons living with dementia from 2014 to 2018 and whether persons living with dementia were at a higher risk for prolonged ED length of stay (defined as a length of stay > 90th percentile). METHODS: In this observational study, we used data from the Healthcare Cost and Utilization Project State Emergency Department Database from Massachusetts, Arkansas, Arizona, and Florida. We included ED visits resulting in discharge for adults aged ≥65 years from 2014 to 2018. We used inverse probability weighting to create comparable groups of visits on the basis of dementia status. We used generalized linear models to estimate the mean difference in ED length of stay on the basis of dementia status and logistic regression to determine the odds of prolonged ED length of stay. RESULTS: We included 1,039,497 ED visits (mean age: 83.5 years; 64% women; 78% White, 12% Hispanic). Compared with visits by persons without dementia, ED length of stay was 3.1 hours longer (95% confidence interval [CI] 3.0 to 3.3 hours) for persons living with dementia. Among the visits resulting in transfer, ED length of stay was on average 4.1 hours longer (95% CI 3.6 to 4.5 hours) for persons living with dementia. Visits by persons living with dementia were more likely to have a prolonged length of stay (risk difference 4.1%, 95% CI 3.9 to 4.4). CONCLUSION: ED visits were more than 3 hours longer for persons living with versus without dementia. Initiatives focused on optimizing ED care for persons living with dementia are needed.
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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.
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BACKGROUND: Classification systems to segment such patients into subgroups for purposes of care management and population analytics should balance administrative simplicity with clinical meaning and measurement precision. OBJECTIVE: To describe and empirically apply a new clinically relevant population segmentation framework applicable to all payers and all ages across the lifespan. RESEARCH DESIGN AND SUBJECTS: Cross-sectional analyses using insurance claims database for 3.31 Million commercially insured and 1.05 Million Medicaid enrollees under 65 years old; and 5.27 Million Medicare fee-for-service beneficiaries aged 65 and older. MEASURES: The "Patient Need Groups" (PNGs) framework, we developed, classifies each person within the entire 0-100+ aged population into one of 11 mutually exclusive need-based categories. For each PNG segment, we documented a range of clinical and resource endpoints, including health care resource use, avoidable emergency department visits, hospitalizations, behavioral health conditions, and social need factors. RESULTS: The PNG categories included: (1) nonuser, (2) low-need child, (3) low-need adult, (4) low-complexity multimorbidity, (5) medium-complexity multimorbidity, (6) low-complexity pregnancy, (7) high-complexity pregnancy, (8) dominant psychiatric/behavioral condition, (9) dominant major chronic condition, (10) high-complexity multimorbidity, and (11) frailty. Each PNG evidenced a characteristic age-related trajectory across the full lifespan. In addition to offering clinically cogent groupings, large percentages (29%-62%) of patients in two pregnancy and high-complexity multimorbidity and frailty PNGs were in a high-risk subgroup (upper 10%) of potential future health care utilization. CONCLUSIONS: The PNG population segmentation approach represents a comprehensive measurement framework that captures and categorizes available electronic health care data to characterize individuals of all ages based on their needs.
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Importance: Physicians endorse deprescribing of risky or unnecessary medications for older adults (aged ≥65 years) with dementia, but there is a lack of information on what influences decisions to deprescribe in this population. Objective: To understand how physicians make decisions to deprescribe for older adults with moderate dementia and ethical and pragmatic concerns influencing those decisions. Design, Setting, and Participants: A cross-sectional national mailed survey study of a random sample of 3000 primary care physicians from the American Medical Association Physician Masterfile who care for older adults was conducted from January 15 to December 31, 2021. Main Outcomes and Measures: The study randomized participants to consider 2 clinical scenarios in which a physician may decide to deprescribe a medication for older adults with moderate dementia: 1 in which the medication could cause an adverse drug event if continued and the other in which there is no evidence of benefit. Participants ranked 9 factors related to possible ethical and pragmatic concerns through best-worst scaling methods (from greatest barrier to smallest barrier to deprescribing). Conditional logit regression quantified the relative importance for each factor as a barrier to deprescribing. Results: A total of 890 physicians (35.0%) returned surveys; 511 (57.4%) were male, and the mean (SD) years since graduation was 26.0 (11.7). Most physicians had a primary specialty in family practice (50.4% [449 of 890]) and internal medicine (43.5% [387 of 890]). A total of 689 surveys were sufficiently complete to analyze. In both clinical scenarios, the 2 greatest barriers to deprescribing were (1) the patient or family reporting symptomatic benefit from the medication (beneficence and autonomy) and (2) the medication having been prescribed by another physician (autonomy and nonmaleficence). The least influential factor was ease of paying for the medication (justice). Conclusions and Relevance: Findings from this national survey study of primary care physicians suggests that understanding ethical aspects of physician decision-making can inform clinician education about medication management and deprescribing decisions for older adults with moderate dementia.
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Dementia , Deprescriptions , Physicians , United States , Humans , Male , Aged , Female , Cross-Sectional Studies , Dementia/drug therapyABSTRACT
BACKGROUND: Care management programs are widely used to improve care coordination and management of chronic conditions for high-need older adults. With many care management programs targeting a small number of people, high-need older adults may receive services from more than one care management program (co-occurring care management), the implications of which are unknown. METHODS: We conducted semi-structured interviews with 37 care managers, 15 older adults, and 13 caregivers, who were recruited through an urban academic medical center and a large rural health system in Maryland. We analyzed interview transcripts using qualitative content analysis with the aim of understanding contributors to, implications of, and strategies to manage co-occurring care management among high-need older adults. RESULTS: Contributors to co-occurring care management included siloed programs due to program-specific financial incentives and inability to easily identify other involved care managers, and the complex needs of the enrolled older adult population, which motivated involvement of more than one program. Implications of co-occurring care management included older adults and caregivers feeling cared for and safe when they had multiple care management programs involved and reporting value in their relationships with care managers. Older adults were identified as having greater access to resources and improved care when care manager roles were aligned in a complementary way; however, misaligned roles posed the potential for confusion about care manager accountability for tasks and resulted in frustration and lack of follow-through. Strategies for managing co-occurring care management included alignment of care manager roles through communication and negotiation and older adults and caregivers identifying and relying on a single care manager with whom they had the strongest relationship. CONCLUSIONS: Initiatives that clarify strengthen the relationship between care managers and older adults, increase care manager visibility, and facilitate communication across care managers may help foster collaboration.
Subject(s)
Caregivers , Humans , Aged , Chronic Disease , MarylandABSTRACT
INTRODUCTION: Deprescribing, the collaborative process between providers and patients to streamline medication regimen, may reduce the risk of adverse events following surgery among older adults with multimorbidity. However, barriers and facilitators to deprescribing for surgery has not been explored. METHODS: We conducted a qualitative study of Primary Care Providers (PCP) and patients aged 65 and older who were scheduled for surgery. We used the Theoretical Domains Framework, which informed the interview guide and analysis. RESULTS: A total of 16 participants (n=8 providers, n=8 patients) were included. Themes were regarding: 1) attitudes towards deprescribing before surgery, 2) perceived benefits of deprescribing before surgery, 3) patient-provider relationship and shared decision-making, 4) hope for surgery, 5) barriers to deprescribing before surgery, and 6) preferences for deprescribing follow-up. CONCLUSION: Our study findings regarding provider- and patient-related barriers and facilitators for deprescribing and desired processes before surgery may inform future deprescribing intervention targets before surgery.
Subject(s)
Deprescriptions , Humans , Aged , Qualitative Research , Decision Making, Shared , PolypharmacyABSTRACT
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.