Revisiting the lung cancer screening eligibility criteria to promote equity for Black individuals.

BACKGROUND: Early detection using low-dose computed tomography reduces lung-cancer-specific mortality by 20% among high-risk individuals. Blacks are less likely than Whites to meet lung cancer screening (LCS) criteria under both the former and the updated United States Preventive Services Task Force (USPSTF) guidelines. The purpose of this study was to assess racial disparities in LCS eligibility and to propose tailored eligibility criteria for Blacks to enable equitable screening rate between Whites and Blacks. METHODS: Data for this study were obtained from the Behavioral Risk Factor Surveillance System (2017-2021). 101,552 subjects were included in the final analysis. By employing a systematic approach, we sought cut-off points at which Blacks were equally likely as Whites to be eligible for LCS. We evaluated the minimum age and smoking pack-years for Blacks while we retained the 2021 USPSTF criteria for Whites. The final decision was based on the minimum Wald's Chi-square statistics. RESULTS: The model we employed identified cut-off points at which Blacks were equally likely as Whites to be eligible for LCS. Retaining the 2021 USPSTF criteria for Whites, the model discovered a new pair of points for Blacks by reducing the minimum age to 43 years and decreasing the cumulative number of cigarettes smoked to 15 pack-years. Based on these cut-off points, we created tailored criteria for Blacks. Under the tailored criteria, Blacks (OR: 1.00; 95 %CI: 0.88-1.14) had the same odds of eligibility for LCS as Whites. The odds of eligibility for LCS by sex under the tailored criteria did not differ significantly for Black men (OR: 1.02; 95 %CI: 0.85-1.24) and Black women (OR: 0.95; 95 %CI: 0.81-1.12) compared to their respective White counterparts. CONCLUSIONS: These tailored criteria for Blacks eliminate the disparities between Blacks and Whites in LCS eligibility. Future studies should test the sensitivity and specificity of these tailored criteria.

The role of social networks in prognostic understanding of older adults with advanced cancer.

OBJECTIVES: Explore how older patients utilize their social networks to inform prognostic understanding. METHODS: In a pilot study of adults (≥65 years old) with advanced cancer, 16 patients completed surveys, social network maps, and semi-structured interviews exploring with whom they preferred to communicate about their illness. Interviews were analyzed using open-coding, and codes were categorized into emergent themes. Social network maps and themes were analyzed via mixed-methods social network analysis (MMSNA). Three case examples with diverse network characteristics and communication patterns were selected for further analysis. RESULTS: Three overarching themes (i.e., prognostic understanding, social support, and therapeutic alliance) revealed that patients' prognostic understanding was strongly influenced by the quality of the social support patients perceived from members of their social networks. Patients demonstrated prognostic understanding when they reported close relationships and open communication with their network members. Case examples revealed some ways that patients sought information and had better sense of their prognosis when they had supportive social networks. CONCLUSION: Findings illustrate how understanding social networks may provide information on how older adults with cancer seek, share, and process prognostic information.

Communication About Fall Risk in Community Oncology Practice: The Role of Geriatric Assessment.

PURPOSE: Falls are a modifiable source of morbidity for older adults with cancer, yet are underassessed in oncology practice. In this secondary analysis of a nationwide cluster-randomized controlled trial, we examined characteristics associated with patient-oncologist conversations about falls, and whether oncologist knowledge of geriatric assessment (GA) resulted in more conversations. METHODS: Eligible patients (ClinicalTrials.gov identifier: NCT02107443) were age ≥ 70 years, had stage III/IV solid tumor or lymphoma, were being treated with noncurative treatment intent, and ≥ 1 GA domain impairment. Patients in both arms underwent GA. At practices randomly assigned to the intervention arm, oncologists were provided a GA summary with management recommendations. In both arms, patients had one clinical encounter audio-recorded, transcribed, and coded to categorize whether a conversation about falls occurred. Generalized linear mixed models adjusted for arm, practice site, and other important covariates were used to generate proportions and odds ratios (ORs) from the full sample. RESULTS: Of 541 patients (intervention N = 293 and usual care N = 248, mean age: 77 years, standard deviation: 5.3), 528 had evaluable audio recordings. More patients had conversations about falls in the intervention versus usual care arm (61.3% v 10.3%, P < .001). Controlling for the intervention and practice site, history of falls (OR, 2.1; 95% CI, 1.3 to 3.6; P = .005) and impaired physical performance (OR, 4.7; 95% CI, 1.7 to 12.8; P = .002) were significantly associated with patient-oncologist conversations about falls. CONCLUSION: GA intervention increased conversations about falls. History of falls and impaired physical performance were associated with patient-oncologist conversations about falls in community oncology practice.

Older adults with advanced cancer are selective in sharing and seeking information with social networks.

BACKGROUND: Little is known about how older adults (OA) with advanced cancer interact with social network members (NM), and the nature of communication. This qualitative study aimed to characterize the processes by which OAs with cancer engage with NMs regarding their illness. METHODS: OAs 65 + with advanced cancer and considering treatment (n = 29) and NMs (n = 18) underwent semi-structured interviews asking 1) about their illness understanding; 2) to identify NMs with whom OAs discuss health-related matters; and 3) to describe the content, process, and impact of those illness-related conversations. Three coders analyzed transcribed interviews. Codes were categorized and emergent themes were identified to generate hypotheses. RESULTS: OAs seek NMs with medical backgrounds for cancer-related information and NMs with personal experience of a serious illness for emotional support. Patients characterize geographical location, frequency of communication, and length of NM relationship as factors that influence the nature of support the NM provides. Additionally, differences emerged between OA and NM perspectives on the depth of conversations and decision-making. CONCLUSIONS: A better characterization of how OAs' seek and share information and support may improve medical communication, disease understanding, and support goals-concordant care.

Caregiver-oncologist prognostic concordance, caregiving esteem, and caregiver outcomes.

INTRODUCTION: Caregiver-oncologist concordance regarding the patient's prognosis is associated with worse caregiver outcomes (e.g., depressive symptoms), but mechanisms underpinning these associations are unclear. We explored whether caregiving esteem mediates these associations. METHODS: At enrollment, caregivers and oncologists used a 5-point ordinal scale to estimate patient survival; identical responses were considered concordant. At 4-6 weeks, caregivers completed an assessment of the extent to which caregiving imparts self-esteem (Caregiver Reaction Assessment self-esteem subscale; range 0-5; higher score indicates greater esteem). They also completed Patient Health Questionnaire-2 (PHQ-2) for depressive symptoms, Distress Thermometer, and 12-Item Short Form Survey for quality of life (QoL). Mediation analysis with bootstrapping (PROCESS macro by Hayes) was used to estimate the extent to which caregiving mediated the effects of prognostic concordance on caregiver outcomes through caregiving esteem. RESULTS: Prognostic concordance occurred in 28% the caregiver-oncologist dyads; 85% of the discordance were due to caregivers estimating a longer patient's survival. At 4-6 weeks, mean caregiving esteem score was 4.4 (range 1.5-5.0). Lower caregiving esteem mediated the associations of concordance with higher PHQ-2 [indirect effect = 0.12; 95% Confidence Interval (CI) 0.03, 0.27], greater distress (indirect effect =0.25; 95% CI 0.08, 0.48), and poorer QoL (indirect effect = -1.50; 95% CI -3.06, -0.41). Caregiving esteem partially mediated 39%, 64%, and 48% of the associations between caregiver-oncologist concordance and PHQ-2, distress, and SF-12, respectively. CONCLUSIONS: Caregiver-oncologist concordance was associated with lower caregiving esteem. Lower caregiving esteem mediated the negative relationship between caregiver-oncologist concordance and caregiver outcomes.

Association of Oncologist-Patient Communication With Functional Status and Physical Performance in Older Adults: A Secondary Analysis of a Cluster Randomized Clinical Trial.

Importance: The functional status and physical performance of older adults with cancer are underassessed and undertreated despite the high prevalence of impaired functional status and physical performance in this population and their associations with chemotherapy-induced toxic effects and mortality. Objective: To examine the association between providing oncologists with a geriatric assessment (GA) summary with recommendations and having oncologist-patient conversations about functional and physical performance. Design, Setting, and Participants: Data for this secondary analysis were collected from October 29, 2014, to April 28, 2017, for a national cluster randomized clinical trial conducted by the University of Rochester Cancer Center National Cancer Institute Community Oncology Research Program evaluating the effect of a GA intervention on patient satisfaction with communication about aging-related concerns. There were 17 practice clusters in the intervention group and 14 in the usual care group. All 541 participants underwent a GA including standardized functional and physical performance measures and had 1 clinical encounter audio-recorded, transcribed, and blindly coded to categorize conversations by GA domain. Participants were aged 70 years or older, with a stage III or IV solid tumor or lymphoma with palliative treatment intent, and impairment in 1 or more GA domain. Statistical analysis was performed from August 18, 2020, to January 10, 2022. Interventions: Oncologist practices randomized to the intervention received a GA summary and validated recommendations for each patient prior to the audio-recorded clinical encounter. Main Outcomes and Measures: The primary analysis of this clinical trial assessed the effect of the intervention on patient satisfaction with oncologist communication about aging-related concerns. This secondary analysis assessed the post hoc hypothesis that the intervention would be associated with an increase in the proportion of patients having conversations with their oncologists and receiving oncologist recommendations specific to functional and physical performance concerns. Results: A total of 541 patients (276 men [51%]; mean [SD] age, 77.5 [5.2] years [range, 70-96 years]) were analyzed at baseline. Excluding 13 patients without audio recordings, 86% of patients (95% CI, 78%-91%) in the intervention group vs 59% of patients (95% CI, 47%-69%; P < .001) receiving usual care had conversations about functional or physical performance. Conversations were more frequently initiated by oncologists in the intervention group (84%; 95% CI, 77%-90%) than oncologists in the usual care group (58%; 95% CI, 45%-70%; P < .001). Oncologists in the intervention group were more likely to address patients' concerns (43%; 95% CI, 33%-53%) than oncologists in the usual care group (17%; 95% CI, 10%-26%; P < .001). Conclusions and Relevance: In this secondary analysis of a cluster randomized clinical trial, providing oncologists with a GA summary was associated with an increase in the number of oncologist-patient conversations about functional and physical performance-related concerns with recommendations to address these concerns. These findings support the use of the GA summary and recommendations as important tools in caring for older adults with advanced cancer and functional or physical impairments. Trial Registration: ClinicalTrials.gov Identifier: NCT02107443.

The shared uncertainty experience of older adults with advanced cancer and their caregivers.

OBJECTIVE: One primary source of psychological distress in patients with cancer and their caregivers is uncertainty. However, the uncertainty trajectory and its relationship between older adults with advanced cancer and their caregivers have rarely been examined. This study describes the uncertainty trajectory in patient-caregiver dyads, explores the effect of geriatric assessment (GA) intervention on trajectory, and examines the interdependent relationship of uncertainty. METHODS: This secondary analysis used longitudinal data from a national cluster-randomized controlled trial examining a GA intervention compared to usual care. Participants completed the modified 9-item Mishel Uncertainty in Illness Scale at enrollment, 4-6 weeks, 3 months, and 6 months. The dyadic growth model and cross-lagged actor-partner interdependence model were used. RESULTS: A total of 397 dyads (patient age M = 76.81 ± SD5.43; caregiver age M = 66.69 ± SD12.52) were included. Both had a trend of decreased uncertainty over time (b = -0.16, p < 0.01). There was a greater decrease in uncertainty among caregivers in the GA group than those in the usual care group (b = -0.46, p = 0.02). For both patients and caregivers, their past uncertainty was a significant predictor of their own current uncertainty (i.e., actor effect, p < 0.01). The individual's past uncertainty was a significant predictor of the other dyad member's current uncertainty (i.e., partner effect, p < 0.05), indicating an interdependent relationship between patient and caregiver uncertainty over time. CONCLUSIONS: Findings suggest patient and caregiver function as a unit with uncertainty levels affecting each other. Future interventions could build on GA to address uncertainty for older patients with advanced cancer and caregivers.

Evaluating the association of frailty with communication about aging-related concerns between older patients with advanced cancer and their oncologists.

BACKGROUND: A geriatric assessment (GA) intervention improves communication about aging-related concerns, but its effect on communication in patients with various levels of frailty is unknown. METHODS: This was a secondary analysis of a nationwide trial of patients aged ≥70 years with incurable cancer and impairment on 1 or more GA domains (ClinicalTrials.gov Identifier NCT02107443; principal investigator Supriya G. Mohile). Practice sites were randomized to either the GA-intervention or usual care. Frailty was assessed with a deficit accumulation index (range, 0-1), and patients were stratified as robust (0 to <0.2), prefrail (0.2 to <0.35), or frail (≥0.35). The clinic visit after the GA-intervention was audio-recorded, transcribed, and coded to evaluate the number and quality of conversations about aging-related concerns. Linear mixed models examined differences in the number and quality of conversations within and between arms. All P values were 2-sided. RESULTS: Patients (n = 541) were classified as robust (27%), prefrail (42%), or frail (31%). In the usual care arm, frail patients (vs robust ones) engaged in more aging-related conversations (adjusted mean difference, 1.73; 95% confidence interval [CI], 0.59-2.87), conversations of higher quality (difference, 1.12; 95% CI, 0.24-2.0), and more discussions about evidence-based recommendations (difference, 0.71; 95% CI, 0.04-1.38; all P values ≤ .01). Similarly, in the GA intervention arm, frail patients (vs robust ones) engaged in more aging-related conversations (difference, 2.49; 95% CI, 1.51-3.47), conversations of higher quality (difference, 1.31; 95% CI, 0.56-2.06), and more discussions about evidence-based recommendations (difference, 0.87; 95% CI, 0.32-1.42; all P values ≤ .01). Furthermore, the GA-intervention significantly improved the number and quality of conversations in all patients: robust, prefrail, and frail (all P values ≤ .01). CONCLUSIONS: Patients with higher degrees of frailty and those exposed to the GA-intervention had more and higher quality conversations about aging-related concerns with oncologists. LAY SUMMARY: A geriatric assessment (GA) intervention improves communication about aging-related concerns, but its effect on communication in patients with various levels of frailty is unknown. This study conducted a secondary analysis of a nationwide trial of patients aged ≥70 years with incurable cancer and 1 or more GA domain impairments. Patients were stratified as robust, prefrail, or frail. The number and quality of conversations about aging-related concerns that occurred during the clinic visit after the GA-intervention were determined. Patients with higher degrees of frailty and those in the GA intervention arm had more and higher quality conversations about aging-related concerns with oncologists.

Using Geriatric Assessment to Guide Conversations Regarding Comorbidities Among Older Patients With Advanced Cancer.

PURPOSE: Older patients with advanced cancer often have comorbidities that can worsen their cancer and treatment outcomes. We assessed how a geriatric assessment (GA)-guided intervention can guide conversations about comorbidities among patients, oncologists, and caregivers. METHODS: This secondary analysis arose from a nationwide, multisite cluster-randomized trial (ClinicalTrials.gov identifier: NCT02107443). Eligible patients were ≥ 70 years, had advanced cancer (solid tumors or lymphoma), and had impairment in at least one GA domain (not including polypharmacy). Oncology practices (n = 30) were randomly assigned to usual care or intervention. All patients completed a GA; in the intervention arm, a GA summary with recommendations was provided to their oncologist. Patients completed an Older Americans Resources and Services Comorbidity questionnaire at screening. The clinical encounter following GA was audio-recorded, transcribed, and coded for topics related to comorbidities. Linear mixed models examined the effect of the intervention on the outcomes adjusting for practice site as a random effect. RESULTS: Patients (N = 541) were 76.6 ± 5.2 years old; 94.6% of patients had at least one comorbidity with an average of 3.2 ± 1.9. The intervention increased the average number of conversations regarding comorbidities per patient from 0.52 to 0.99 (P < .01). Moreover, there were a greater number of concerns acknowledged (0.52 v 0.32; P = .03) and there was a 2.4-times higher odds of having comorbidity concerns addressed via referral, handout, or other modes (95% CI, 1.3 to 4.3; P = .004). Most oncologists in the intervention arm (76%) discussed comorbidities in light of the treatment plan, and 41% tailored treatment plans. CONCLUSION: Providing oncologists with a GA-guided intervention enhanced communication regarding comorbidities.

The Relationship Between Frailty and Emotional Health in Older Patients with Advanced Cancer.

BACKGROUND: Aging-related deficits that eventually manifest as frailty may be associated with poor emotional health in older patients with advanced cancer. This study aimed to examine the relationship between frailty and emotional health in this population. METHODS: This was a secondary analysis of baseline data from a nationwide cluster randomized trial. Patients were aged ≥70 years with incurable stage III/IV solid tumors or lymphomas, had ≥1 geriatric assessment (GA) domain impairment, and had completed the Geriatric Depression Scale, Generalized Anxiety Disorder-7, and Distress Thermometer. Frailty was assessed using a Deficit Accumulation Index (DAI; range 0-1) based on GA, which did not include emotional health variables (depression and anxiety), and participants were stratified into robust, prefrail, and frail categories. Multivariate logistic regression models examined the association of frailty with emotional health outcomes. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were reported. RESULTS: Five hundred forty-one patients were included (mean age: 77 years; 70-96). DAI ranged from 0.04 to 0.94; 27% of patients were classified as robust, 42% prefrail, and 31% frail. Compared with robust patients, frail patients had an increased risk of screening positive for depression (aOR = 12.8; 95% CI = 6.1-27.0), anxiety (aOR = 6.6; 95% CI = 2.2-19.7), and emotional distress (aOR = 4.62; 95% CI = 2.9-8.3). Prefrail compared with robust patients also had an increased risk of screening positive for depression (aOR = 2.22; 95% CI = 1.0-4.8) and distress (aOR = 1.71; 95% CI = 1.0-2.8). CONCLUSION: In older patients with advanced cancer, frailty is associated with poorer emotional health, which indicates a need for an integrated care approach to treating these patients. IMPLICATIONS FOR PRACTICE: A relationship exists between frailty and poor emotional health in older adults with advanced cancer. Identifying areas of frailty can prompt screening for emotional health and guide delivery of appropriate interventions. Alternatively, attention to emotional health may also improve frailty.

Health related quality of life in adult cancer survivors: Importance of social and emotional support.

BACKGROUND: Adult cancer survivors (ACS) are at increased risk for developing various comorbid conditions and having poor health-related quality of life (HRQOL) when compared to adults with no history of cancer. The effect of social and emotional support on HRQOL among ACS is not fully elucidated. The purpose of this study was to understand the role of social and emotional support on HRQOL in ACS and to examine if the association between social and emotional support and HRQOL is modified by gender, time since cancer diagnosis, or marital status. METHODS: Data for this study were obtained from the 2009 Behavioral Risk Factor Surveillance System. Statistical analysis was based on ACS with complete data (n = 23,939) on all variables considered. Multivariable logistic regression models were used to model the association between social and emotional support and indicators of HRQOL (i.e., general health, physical health, mental health, and activity limitation). To examine if gender, marital status, or the number of years since cancer diagnosis modify the association, separate stratified analyses were conducted. RESULTS: When compared to ACS who reported that they Rarely/Never received social and emotional support, those who reported that they Always received were 32 % less likely to report Fair/Poor General health, 23 % less likely to report frequent unhealthy days of Physical health, 73 % less likely to report frequent unhealthy days of Mental health and 38 % less likely to report frequent unhealthy days of Activity limitation. Social and emotional support was positively associated with all four domains of HRQOL among ACS who were female, unmarried, or greater than 5 years since cancer diagnosis, while this positive association was evident only with one or two domains of HRQOL among their corresponding counterparts (i.e., male, married, less than 5 years since diagnosis). CONCLUSIONS: Social and emotional support is an important factor directly related to a better HRQOL, but it is modified by gender, marital status, and time since diagnosis. Findings from this study should inform health care providers about the importance of a support system for ACS in improving their overall quality of life.

Caregiving burden of informal caregivers of older adults with advanced cancer: The effects of rurality and education.

OBJECTIVES: Rural-urban disparities in the experiences of caregivers of older adults with advanced cancer may exist. This study examined factors associated with caregiver mastery and burden and explored whether rural-urban disparities in caregiver outcomes differed by education. MATERIALS AND METHODS: Longitudinal data (baseline, 4-6 weeks, and 3 months) on caregivers of older adults (≥ 70) with advanced cancer were obtained from a multicenter geriatric assessment (GA) trial (ClinicalTrials.gov: NCT02107443). Rurality was determined based on 2010 Rural-Urban Commuting Area codes. Caregivers' education was categorized as ≥ some college vs ≤ high school. Caregiver outcomes included Ryff Environmental Mastery (scored 7-35) and Caregiver Reaction Assessment (including self-esteem, disrupted schedules, financial problems, lack of social support, and health problems; each scored 1-5). Separate linear mixed models with interaction term of education and rurality were performed. RESULTS: Of 414 caregivers, 64 (15.5%) were from rural areas and 263 (63.5%) completed ≥ some college. Rurality was significantly associated with more disrupted schedules (ß = 0.21), financial problems (ß = 0.17), and lack of social support (ß = 0.11). A significant interaction between education and rurality was found, with rurality associated with lower mastery (ß = -1.27) and more disrupted schedule (ß = 0.25), financial problems (ß = 0.33), and lack of social support (ß = 0.32) among caregivers with education ≤ high school. CONCLUSION: Our study identifies subgroups of caregivers who are vulnerable to caregiving burden, specifically those from rural areas and with lower education. Multifaceted interventions are needed to improve caregivers' competency and reduce caregiving burden.

Quality of Life of Caregivers of Older Patients with Advanced Cancer.

OBJECTIVES: To evaluate the relationships between aging-related domains captured by geriatric assessment (GA) for older patients with advanced cancer and caregivers' emotional health and quality of life (QOL). DESIGN: In this cross sectional study of baseline data from a nationwide investigation of older patients and their caregivers, patients completed a GA that included validated tests to evaluate eight domains of health (eg, function, cognition). SETTING: Thirty-one community oncology practices throughout the United States. PARTICIPANTS: Enrolled patients were aged 70 and older, had one or more GA domain impaired, and had an incurable solid tumor malignancy or lymphoma. Each could choose one caregiver to enroll. MEASUREMENTS: Caregivers completed the Generalized Anxiety Disorder-7, Distress Thermometer, Patient Health Questionnaire-2 (depression), and Short Form Health Survey-12 (SF-12 for QOL). Separate multivariate linear or logistic regression models were used to examine the association of the number and type of patient GA impairments with caregiver outcomes, controlling for patient and caregiver covariates. RESULTS: A total of 541 patients were enrolled, 414 with a caregiver. Almost half (43.5%) of the caregivers screened positive for distress, 24.4% for anxiety, and 18.9% for depression. Higher numbers of patient GA domain impairments were associated with caregiver depression (adjusted odds ratio [aOR] = 1.29; P < .001], caregiver physical health on SF-12 (regression coefficient [ß] = -1.24; P < .001), and overall caregiver QOL (ß = -1.14; P < .01). Impaired patient function was associated with lower caregiver QOL (ß = -4.11; P < .001). Impaired patient nutrition was associated with caregiver depression (aOR = 2.08; P < .01). Lower caregiver age, caregiver comorbidity, and patient distress were also associated with worse caregiver outcomes. CONCLUSION: Patient GA impairments were associated with poorer emotional health and lower QOL of caregivers. J Am Geriatr Soc 67:969-977, 2019.

Geriatric assessment-driven polypharmacy discussions between oncologists, older patients, and their caregivers.

OBJECTIVES: Polypharmacy (PP) and potentially inappropriate medications (PIM) are common in older adults with cancer, increasing the risk of adverse outcomes. Approaches to identifying and addressing PP/PIM are needed. MATERIALS AND METHODS: Patients ≥70 years with advanced cancer were enrolled in this cluster-randomized study. All underwent geriatric assessment (GA), and oncologists randomized to the intervention arm received GA-driven recommendations; no information was provided to oncologists at usual care sites. For patients with PP (≥5 medications or ≥1 high-risk medication), clinic visits with treating oncologists were audiorecorded and transcribed, and discussions regarding PP/PIM identified. Quality of provider response was coded as dismissed, mentioned, acknowledged, or addressed. RESULTS: Forty patient transcripts were analyzed (20 per arm). More discussions occurred in the intervention group (n = 81) versus the usual care group (n = 51). More concerns per patient were brought up in the intervention group (4.1 vs. 2.6, p = 0.07). Physician-initiated discussions were higher in the intervention group (73% vs. 49%, p = 0.006). More PP concerns were "addressed" in the intervention group (59% vs. 45%, p = 0.1). Oncology supportive care medication concerns were more often addressed in the usual care group (58% vs. 18%, p = 0.008), but medication management concerns were addressed more commonly in the intervention group (38% vs. 79%, p = 0.003). CONCLUSION: In this secondary analysis, a GA-driven intervention increased PP discussions, particularly about total number of medications and medication management. PP/PIM concerns were more commonly addressed in the intervention group, except for the subset of conversations about supportive care medications.