Polypharmacy and drug interactions in older patients with cancer receiving chemotherapy: associated factors.

BACKGROUND: Polypharmacy in older adults with cancer receiving chemotherapy leads to increased risks of drug interactions, translating in potential hazardous health outcomes. This study aims to assess the prevalence of polypharmacy, drug-drug interactions (DDIs), and severe-drug interactions (SDIs) in older patients with cancer. Antineoplastic agents (ANAs) involvement and possible risk contexts (comorbidities with cardiac risk, and high-risk medications) were also analysed. METHODS: Observational study with older adults (≥ 65 years) diagnosed with cancer, who were treated with antineoplastic agents (ANAs); it was conducted in three hospitals from the north of Portugal. Data collection was obtained using self-reports and medical records. DDIs were identified and classified using Micromedex® software. Descriptive and association analyze statistics were performed. Statistical hypothesis tests with p value less than 0.05 were considered significant. All statistical procedures and analysis were performed with R version 4.1.3. RESULTS: We enrolled 552 patients. Polypharmacy prevalence was 88.40%; 76.45% and 56.16% of the patients presented with DDIs and SDIs, respectively. SDIs with ANAs were found in 21.20% of the patients. High-risk medications were associated with a higher risk of polypharmacy, DDIs, and SDIs. Polypharmacy and DDIs were higher in patients with hypertension or diabetes. SDIs were higher in patients with diabetes. CONCLUSION: Polypharmacy, potential DDIs and SDIs were highly prevalent in older adults with cancer. A careful review of the medication administered is necessary to decrease it. These findings warrant further research to optimize medication in this population and decrease problems related to medication, which may lead to emergency room visits and hospitalisations, compromising patient safety and/or ongoing treatments.

Integration of the geriatric palliative care in oncological care of elderly patient with cancer.

OBJECTIVES: The objective of this article is to describe the profile of the population attended to by the palliative geriatrics clinic and to evaluate the symptomatic control derived from the care provided. METHODS: During 2017 a model based on a holistic approach was implemented, in this model the team geriatric palliative care plays a fundamental role by being part of the palliative care team and functioning as a liaison with the oncology team and other required services. We outlined the profile of 100 patients aged 70 and older seen between 2017 and 2019 at our geriatric palliative care clinic. Descriptive statistics were used. In addition, the symptoms and the care clinic model effect on the symptomatic control were analyzed, as well as the complexity of patients in palliative care with IDC-Pal. RESULTS: The patients median age was 83.5 years. Patients were classified by type of management: 47% within the supportive care group and 53% with palliative care only; 58% had metastatic disease and 84% presented at least 1 comorbidity. Frailty was observed in 78% and a Karnofsky scale of 60 or less was observed in 59% of the overall population. SIGNIFICANCE OF RESULTS: Elderly cancer patients have a complex profile and may have multiple needs. Integrating geriatric palliative care can help to provide better and personalized care along with symptomatic control. Further studies are required to establish the ideal care model for these patients. Importantly, a personalized treatment with a geriatric palliative care specialist is a key element.

Polypharmacy and potentially-inappropriate medications are prevalent in the elderly cancer patients receiving systemic cancer therapy and they co-relate with adverse outcomes.

OBJECTIVES: Cancer is the disease of the ageing. Most of the elderly cancer patients have pre-existing illnesses requiring complexity of medical care. Excessive medications would lead not only futility, but also result in adverse outcomes especially if such over-prescription is not appropriate. This study was intended to determine the prevalence of polypharmacy (PP) and potentially-inappropriate medications (PIMs) among elderly cancer patients eligible for active cancer care and their associations with hospitalization and mortality. MATERIALS AND METHODS: This was a prospective cohort study conducted among the elderly non-hematologic cancer patients (≥ 65 years old) whom a medical oncologist had decided suitable for systemic cancer therapy. Demographic data including age, sex, primary site of cancer, cancer stage at diagnosis, Charlson Comorbidity Index (CCI), numbers and kinds of medications used both prior to and during cancer treatment were recorded. Hospitalizations not related to systemic cancer therapy administration and mortality were prospectively monitored. All of the patients had to be followed at least one year after cancer diagnosis. RESULTS: There were 180 eligible participants. Median age in years (IQR) was 68 (65-73). One hundred patients (55.56%) were male and 80 patients (44.44%) were female. Breast (35, 19.44%), lung (31, 17.22%) and colorectal (18, 10%) cancers were the most common diagnoses. Eighty-six patients (47.78%) had metastatic disease at cancer diagnosis. One hundred twenty-two patients (67.78%) had PP (5 or more medications a day) and thirty-six patients (20%) had hyper-PP (10 or more medications a day). One hundred twenty five of the whole cohort (69.4%) had PIMs. Patients with more serious CCI scores were associated with PP and hyper-PP. While patients with primary lung cancer was only the only factor associated with PIMs. When excluding opioids, laxatives and anti-emetics, the most frequently prescribed drugs during cancer treatment, the so-called corrected PP did not associate with worse 1-year survival. Factors correlated with 1-year mortality were more advanced age group (70 years old or more) (OR 2.24; 95% C.I., 1.14-4.41; p = 0.019), primary lung cancer (OR 2.89; 95% C.I., 1.45-5.78; p = 0.003), metastatic disease at cancer diagnosis (OR 4.57; 95% C.I., 1.90-10.97; p = 0.001), and unplanned hospitalizations (OR 3.09; 95% C.I.,1.60-5.99; p = 0.001). While male gender (OR 2.35; 95% C.I., 1.17-4.71; p = 0.016), metastatic stage at cancer diagnosis (OR 2.74; 95% C.I., 1.33-5.66; p = 0.006) and corrected PP (OR 1.90; 95% C.I. 1.01-3.56; p = 0.046) were the significant predictive factors of unplanned hospitalizations. CONCLUSION: Among elderly cancer patients suitable for systemic cancer therapy, around two thirds of patients had PP and PIMs. Higher CCI score was the only significant predictor of PP and hyper-PP; while primary lung cancer was the sole independent factor predicting PIMs. PP was associated with unplanned hospitalizations, albeit not the survival.

Bioimpedentiometry parameters used as indicators of frailty and malnutrition: association between G8 score and Phase angle (PHA) in elderly cancer patients.

BACKGROUND: Since the incidence of cancer increases with age, in older cancer patients important information may be missed without a Comprehensive Geriatric Assessment (CGA). On the other side, CGA is a time-consuming and complex instrument, so that Geriatric 8 (G8) has been proposed as a more feasible screening tool to identify patients who could benefit from a CGA evaluation. G8 consists of 8 questions (patient age + 7 items derived from the Mini Nutritional Assessment questionnaire). A G8 score ≤ 14 is considered associated with frailty and risk of malnutrition. Another screening test is Bioelectrical Impedance Analysis (Bioimpedentiometry, BIA), which enables to evaluate the nutritional status through a specific parameter known as Phase angle (PhA). This study is aimed at assessing the ability of G8 alone or in combination with PhA to detect elderly cancer patients at higher risk for malnutrition who cannot undergo immediate anticancer treatments. METHODS: A total of 289 cancer patients (168 men and 121 women) aged ≥ 70 years old were enrolled and performed both G8 test, body mass index (BMI) and BIA assessments. A concurrent G8 score ≤ 14 and PhA < 5 defined subjects most exposed to the risk of malnutrition. RESULTS: An association between BMI and G8 (p < 0.001, OR 1.54) and a clinically significant relationship between G8 and PhA (p = 0.013) were observed. CONCLUSION: G8 can be used to identify patients at risk for malnutrition who would benefit from comprehensive CGA. The concurrent use of G8 and BIA presents a higher power in discriminating subjects at higher risk of malnutrition than a single test. This study suggests the need for routine assessment of nutritional status in cancer patients using combinations of methods, in order to implement strategies for individually-tailored care before starting any treatment.

Advances in rectal cancer: Real-world evidence suggests limited gains in prognosis for elderly patients.

BACKGROUND: Rectal cancer treatment has improved considerably due to the introduction of total meso-rectal excision, radio-chemotherapy, and high-resolution imaging. The aim of this observational cohort study was to quantify the effectiveness of these advances using high-quality data from a representative cohort of patients. METHODS: 20 281 non-metastasized cases retrieved from the Munich Cancer Registry database were divided into three time periods corresponding to before (1988-1997), partial (1998-2007), and full implementation (2008-2019) of clinical advances. Early-onset (<50 yrs.), middle-aged, elderly patient subgroups (> 70 yrs.) were compared. The overall effectiveness of evidence-based guideline adherence was also examined. RESULTS: Median survival improved by 1.5 yrs. from the first to the last time period. Relative survival increased from 74.9% (5-yr 95%CI[73.3 - 76.6]) to 79.2% (95%CI[77.8 - 80.5]). The incidence of locoregional recurrences was reduced dramatically by more than half (5-yr 17.7% (95%CI[16.5 - 18.8]); 6.7% (95%CI[6.1 - 7.3])). Gains in 5-yr relative survival were limited to early-onset and middle-aged patients with no significant improvement seen in elderly patients (Female 68.6% [63.9 - 73.3] to 67.6% [64.0 - 71.2]; Male 71.7% [65.9 - 77.4] to 74.0% [70.8 - 77.2]). CONCLUSIONS: Real-world evidence suggests that recent treatment advances have lead to an increase in prognosis for rectal cancer patients. However, more effort should be made to improve the implementation of new developments in elderly patients. Especially considering, that these cases represent a growing majority of diagnosed patients.

Dose-response relationship of resistance training for muscle morphology and strength in elderly cancer patients: A meta-analysis.

Objective: To systematically evaluate the effects of resistance training (RT) on muscle strength and muscle hypertrophy in elderly cancer patients, and to provide dose-response relationships of RT variables that could improve muscle strength and morphology in elderly cancer patients. Method: The Review Manager 5.3 was applied to analyze the 12 literatures (616 participants) through random or fixed effects model and global effect size to examine upper limb strength, lower extremity strength, and muscle hypertrophy. Sub-group analysis was made on five variables: the total number of repeated training times/week, load intensity, exercise frequency/week, exercise duration and gender. This study also examines the heterogeneity and publication bias. Results: Twelve literatures (616 participants, 60-80 years) were included in meta-analysis. RT significantly increased the upper limb muscular strength (SMD = 0.51, 95% CI: 0.10-0.93; Z = 2.41; p = 0.02) and lower extremity strength (SMD = 0.48, 95% CI: 0.28-0.67; Z = 4.82; p < 0.00001), but had no significant effect on muscle morphology(SMD = 0.21, 95% CI: 0.01-0.42; Z = 1.88; p = 0.06). In subgroup analysis for lower extremity muscle strength in elderly male cancer patients, it was found that male intensity of 70-90%1RM, volume of 400-500 times per week, frequencies of 3 times per week, and session of 12-24 weeks, revealed the greatest effect. Funnel plot of the three studies shows that the results were reliable, and no publication bias was found. Conclusion: RT had medium effects on improving muscle strength in elderly cancer patients, but it is not effective in improving muscle hypertrophy. In addition, when RT is performed, different training protocols can have an effect on the growth of muscle strength. Therefore, a lower extremity training protocol with a training intensity of 70-90% 1RM, a total of 400-500 repetitions per week, 3 times per week, and an exercise session of 12-24 weeks is most effective in improving lower extremity strength in elderly male cancer patients.

Relationship between nurses' psychological capital and satisfaction of elderly cancer patients during the COVID-19 pandemic.

Introduction: As a special vulnerable group, the physical and mental health of elderly cancer patients has attracted much attention. However, few studies have focused on the impact of nurses' mental state on the mental health of elderly cancer patients during the COVID-19 pandemic. In response to this literature gap, this study aims to explore the impact of nurses' psychological capital on the satisfaction of elderly cancer patients. The job demands-resources model (JD-R) is used to further investigate how work engagement and job resources of nurses affect this relationship. Methods: The questionnaire survey was used to collect data, participants included 230 elderly cancer patients and their nurses from a tertiary first-class cancer hospital in China. Partial least squares structural equation modeling (PLS-SEM) was conducted with SmartPLS 3.3.9. Results: Nurses' psychological capital has a significant positive impact on the satisfaction of elderly cancer patients during the COVID-19 pandemic. Nurses' work engagement is an important mechanism for their psychological capital to affect the satisfaction of elderly cancer patients. In addition, nurses' job resources positively moderate the relationship between their psychological capital and work engagement. The positive relationship between psychological capital and work engagement of nurses is stronger when they have abundant job resources. Discussion: These findings suggest that healthcare organizations should take the psychological capital of medical staff as an important means to improve their competitive advantage. It can improve the quality of medical services to obtain good performance by effectively developing and managing the psychological capital of medical staff. In addition, healthcare organizations should recognize the importance of providing adequate job resources for medical staff.

Assessing Efficacy and Use Patterns of Medical Cannabis for Symptom Management in Elderly Cancer Patients.

OBJECTIVES: Our study sought to further characterize patterns of medical cannabis use in elderly cancer patients. Furthermore, we sought to assess efficacy of medical cannabis for the treatment of pain, nausea, anorexia, insomnia and anxiety in elderly cancer patients. BACKGROUND: Medical cannabis use is growing for symptom management in cancer patients, but limited data exists on the safety or efficacy of use in elderly patients. METHODS: A retrospective chart review assessing changes in numerical symptom scores reported at clinic visits before and after medical cannabis initiation. RESULTS: There was no statistically significant difference in pain, nausea, appetite, insomnia or anxiety scores reported before and after initiation of medical cannabis. Oil was the most common form used, followed by vape, and the most common ratios used were high tetrahydrocannabinol (THC) to cannabidiol (CBD) and equal parts THC/CBD products. CONCLUSION: This study did not find a statistically significant change in symptom scores with medical cannabis use, although further study is warranted given the limitations of the present study. Elderly patients most commonly are using equal parts THC/CBD or high THC ratio products initially.

Analysis of influential factors for potentially inappropriate medication in elderly cancer patients / 中国药房

OBJECTIVE To analyze the influential factors for potentially inappropriate medication （PIM） in elderly cancer patients. METHODS The data of elderly cancer patients hospitalized in a hospital from January to December 2021 were collected. According to the Beers standard of the American Geriatrics Society in 2019 （hereinafter referred to as the “2019 version of Beers standard”） and Criteria for Potentially Inappropriate Drug Use in Chinese Elderly （2017 version） （hereinafter referred to as the “Chinese PIM standard”）， the PIM status of elderly cancer patients was retrospectively analyzed. Multivariate Logistic regression analysis was used to identify influential factors for PIM. RESULTS A total of 293 patients were included in the study. According to the 2019 version of Beers standard， 211 patients （72.01%） had PIM， of which 204 （69.62%） had PIM related to drugs， 6 （2.05%） had PIM related to diseases or symptoms， 46 （15.70%） had PIM that should be used with caution， 32 （10.92%） had PIM with drug-drug interaction that should be avoided， and 11 （3.75%） had PIM based on renal function； the top 5 drugs in the list of incidence were proton pump inhibitors， metoclopramide， the first-generation antihistamines as promethazine， analgesics as ibuprofen and megestrol. According to the Chinese PIM standard， there were 132 patients （45.05%） with PIM， of which 119 （40.61%） had PIM related to drugs， involving 25 drugs （included 7 high-risk drugs and 18 low-risk drugs）， and 24 （8.19%） with PIM in disease status； top 4 drugs in the list of incidence were promethazine， megestrol， ibuprofen and cimetidine. Multivariate Logistic regression analysis showed that compared with patients with hospital stay≤10 days， patients with hospital 20054） stay between 11 and 30 days had a higher risk of PIM [odds ratio （OR）＝8.836 8， 95% confidence interval （CI） （3.217 8， 31.940 9）， P＝0.000 1]； compared with the patients with the 65895198。E-mail：fjman@cmpt.ac.cn number of clinical disease diagnosed≤5， patients with the number of clinical disease diagnosed≥11 had a higher risk of PIM [OR＝10.930 1， 95%CI （3.000 9， 70.922 9）， P＝0.001 8]； compared with surgical treatment， patients receiving antineoplastic drugs had a higher risk of PIM [OR＝2.209 5， 95%CI （1.180 2， 4.176 9）， P＝0.013 6]. CONCLUSIONS Elderly cancer patients have multiple diseases， complicated medication， and a high incidence of PIM. The length of hospital stay （11-30 d）， the number of clinical disease diagnosed （≥11） and anti-tumor drugs are main influential factors for PIM in patients.

Immunotherapy in Elderly Patients-Single-Center Experience.

Cancer management faces a substantial challenge posed by the aging demographic. Aging is marked by accumulated DNA damage, and this phenomenon is implicated in the process of tumorigenesis. The concept of immunosenescence, postulated to manifest in elderly individuals, is defined by an age-related decline in T cells and a simultaneous elevation in proinflammatory status, leading to a diminished efficacy in response to immunotherapy. Notably, despite the rising prevalence of cancer in the elderly population, their underrepresentation in clinical trials persists. This underscores the unmet need to evaluate the safety and efficacy of cancer treatment in the elderly. This retrospective, single-center cohort study aimed to assess and evaluate the effectiveness and safety of immunotherapy in patients compared to younger individuals with metastatic solid tumors receiving ICI. A total of 220 patients were included, mostly males, with a median age of 64. The proportion of patients ≥ 65 years old was 56.5%. The use of ICI showed no significant differences concerning overall survival (OS) and progression-free survival (PFS) among age groups across different cancer types (melanoma, non-small-cell lung cancer (NSCLC), renal, and bladder cancer; p = 0.388). Concerning the response to treatment in renal cancer patients, a significant difference was observed (p = 0.041), suggesting a potential negative impact of age on the treatment response. In patients that presented immune-related adverse events (irAEs), oral corticosteroid therapy was marginally associated (p = 0.059) with the elderly population. When evaluating the NSCLC population alone (n = 131, 59.5%), our study revealed a strong association between the development of irAEs, patients' PFS and OS, and the duration of ICI treatment, but not directly correlated with age. The NSCLC elderly population presented a marginally greater number of irAEs, although without statistical significance (p = 0.86). ICI maintained efficacy and safety in elderly patients, challenging the notion that age alone should determine treatment decisions. The findings emphasize the necessity of a comprehensive geriatric assessment rather than relying solely on chronological age for personalized cancer treatment in the elderly population. Further prospective studies are needed to better understand immune responses in older adults and derive predictive biomarkers for cancer treatment.

Prediction of Radiotherapy Compliance in Elderly Cancer Patients Using an Internally Validated Decision Tree.

This study aims to analyze the relationship between the available variables and treatment compliance in elderly cancer patients treated with radiotherapy and to establish a decision tree model to guide caregivers in their decision-making process. For this purpose, 456 patients over 74 years of age who received radiotherapy between 2005 and 2017 were included in this retrospective analysis. The outcome of interest was radiotherapy compliance, determined by whether patients completed their scheduled radiotherapy treatment (compliance means they completed their treatment and noncompliance means they did not). A bootstrap (B = 400) technique was implemented to select the best tuning parameters to establish the decision tree. The developed decision tree uses patient status, the Charlson comorbidity index, the Eastern Cooperative Oncology Group Performance scale, age, sex, cancer type, health insurance status, radiotherapy aim, and fractionation type (conventional fractionation versus hypofractionation) to distinguish between compliant and noncompliant patients. The decision tree's mean area under the curve and 95% confidence interval was 0.71 (0.66-0.77). Although external validation is needed to determine the decision tree's clinical usefulness, its discriminating ability was moderate and it could serve as an aid for caregivers to select the optimal treatment for elderly cancer patients.

Association Between Fat Mass to Lean Body Mass Ratio and All-Cause Mortality Among Middle-Aged and Elderly Cancer Patients Without Obesity: A Multi-Center Observational Study in China.

Objective: We aimed to investigate the association between fat mass to lean body mass ratio (RFL), percentage of body fat (PBF), and fat mass (FM) with mortality among middle-aged and elderly cancer patients without obesity. Methods: This prospective hospital-based cohort study comprised 3,201 patients with stage I to IV cancer aged 40 years or above (mean age: 58 years for female patients and 61 years for male patients; mean length of follow-up was 1.67 years; the maximal follow-up length was 6.42 years). FM and PBF were measured by bioelectrical impedance analysis (BIA). Cox proportional hazard models were used, and adjusted hazard ratios (HRs) were estimated. Results: We revealed a significant association between RFL and all-cause mortality among men aged ≥60 years after adjusting for confounders. Compared with those in the lowest tertile of RFL, elderly men in the medium and highest tertile had a 35 and 34% lower hazard of death from any cause, respectively. After additionally adjusted for C-reaction protein (CRP), HRs of medium and high tertile of RFL became short of statistical significance [medium tertile: adjusted HRs (95% CI) = 0.74 (0.46, 1.20); highest tertile: adjusted HRs (95% CI) = 0.84 (0.53, 1.33)]. Among elderly women, RFL was significantly related to all-cause mortality only when the additional adjustment for CRP [medium tertile: adjusted HRs (95% CI) = 2.08 (1.08, 4.01); highest tertile: adjusted HRs (95% CI) = 0.90 (0.45, 1.81)]. No significant association between RFL and all-cause mortality was observed among female participants or male participants aged less than 60 years. Conclusion: Our findings showed a significant non-linear association between RFL and all-cause mortality, which was observed only in elderly men, and might be attenuated by their inflammation state.

Optimal Frailty Dimensions for Assessing Frailty and Predicting Chemotherapy Adverse Events in Older Taiwanese Cancer Patients.

Background: This study aimed to investigate the effects of different frailty dimensions on frailty prevalence in older Taiwanese cancer patients receiving chemotherapy, and to analyze the dimensions that should be included in frailty assessment for effectively predicting serious adverse events, unexpected hospitalizations, and emergency department visits. Materials and Methods: This study prospectively enrolled 234 cancer patients with solid cancer or lymphoma and aged 65 years or older who later received chemotherapy at a medical center in Taiwan from September 2016 to November 2018. First, all patients were subjected to a frailty assessment on eight frailty dimensions within 1 week before their first chemotherapy treatment. The effects of different dimensions on frailty were analyzed using a Poisson regression model. Second, after sequentially excluding one, two, and three dimensions with the lowest effects, frailty was sequentially assessed in the remaining seven, six, and five dimensions for comparison of chemotherapy-related adverse events. Results: Nutritional status, comorbidity, history of falls, cognitive status, and polypharmacy were the top five important dimensions of frailty in older Taiwanese cancer patients. Regardless of the number (five to eight) of dimensions used for frailty assessment, frail patients had higher rates of serious adverse events, unexpected hospitalizations, and emergency room visits than non-frail patients during chemotherapy. Conclusions: Frailty assessment in older Taiwanese cancer patients should be based on at least five dimensions to accurately identify those at high risk of serious adverse events during chemotherapy. It is expected that the present findings may be used to design a frailty scale for older Taiwanese in the future.

The Age-Adjusted Charlson Comorbidity Index Predicts Prognosis in Elderly Cancer Patients.

Purpose: The age-adjusted Charlson comorbidity index (ACCI) is a useful measure of comorbidity to standardize the evaluation of elderly patients and has been reported to predict mortality in various cancers. To our best knowledge, no studies have examined the relationship between the ACCI and survival of elderly patients with cancer. Therefore, the primary objective of this study was to investigate the relationship between the ACCI and survival of elderly patients with cancer. Patients and Methods: A total of 64 elderly patients (>80 years) with cancer between 2011 and 2021 were enrolled in this study. According to the ACCI, the age-adjusted comorbidity index was calculated by weighting individual comorbidities; patients with ACCI<11 were considered the low-ACCI group, whereas those with ACCI≥11 were considered the high-ACCI group. The correlations between the ACCI score and survival outcomes were statistically analyzed. Results: There was a significant difference in overall survival (OS) and progression-free survival (PFS) between the high-ACCI group and the low-ACCI group (P<0.001). The median OS time of the high-ACCI group and the low-ACCI group were 13.9 (10.5-22.0) months and 51.9 (34.1-84.0) months, respectively. The 2-, 3-, and 5-year survival rates of the high-ACCI group were 28.1%, 18.8%, and 4.2%, respectively, whereas the 2-, 3-, and 5-year survival rates of the low-ACCI group were 77.3%, 66.4%, and 39.1%, respectively. Multivariate analysis showed that ACCI was independently associated with OS (HR=1.402, 95% CI: 1.226-1.604, P < 0.05) and PFS (HR=1.353, 95% CI: 1.085-1.688, P = 0.0073). Conclusion: The ACCI score is a significant independent predictor of prognosis in elderly patients with cancer.

Exploring Determinants of Interdisciplinary Collaboration within a Geriatric Oncology Setting: A Mixed-Method Study.

Therapeutic challenges regarding the population of elderly cancer patients and their heterogeneity lead to the need to implement person-centered approaches in order to optimize care strategies and adapt oncology treatments to each pattern of aging. The International Society of Geriatric Oncology recommends a multidisciplinary evaluation of these patients and the use of screening tools prior to the initiation of treatments. However, previous research shows a poor implementation of these recommendations in geriatric oncology. Although some studies have identified how different perceptions of geriatric oncology might hinder routine teamwork, little is known about the impact of other factors on promoting the collaboration between the two specialties. This mixed-method exploratory study used an online questionnaire to assess the perception of a group of 22 geriatricians and oncology physicians on different determinants of oncology care and teamwork. In this sample, older oncology patients benefited from geriatric care. However, there was a variability regarding age criteria and a limited use of screening tools. The multidimensional framework for interprofessional teamwork by Reeves has been used to analyze some of the determinants of the collaboration between oncology physicians and geriatricians. This study has identified systematic issues to consider when promoting communication and common values between the two disciplines, including available resources in terms of shared time, space and routine actions.

Implementation of geriatric assessment and long-term care insurance system by medical professionals in cancer treatment: a nationwide survey in Japan.

BACKGROUND: A questionnaire survey was conducted to assess the implementation status of geriatric assessment in cancer treatment and the potential for collaboration between medical care and the long-term care insurance system. METHODS: Questionnaires were sent to 795 facilities in Japan. The questions were instructed to be answered via an online survey (SurveyMonkey®), which began in September 2020 and closed on 31 October 2020. The questionnaire consisted of 8 questions on the status of geriatric assessment implementation and 15 questions on the long-term care insurance system. RESULTS: In total, 631 departments in 340 (42.8%) of 795 hospitals and clinics provided responses. Approximately 81.5% of the departments did not perform geriatric assessment. The common reasons were lack of knowledge about geriatric assessment (54.0%) and lack of personnel (35.5%). Even if geriatric assessment was conducted, 63.6% of departments did not utilize geriatric assessment results in clinical practice. Approximately 61.7% of respondents were familiar with the long-term care insurance system and 62.9% with the certification process. Moreover, 28% of respondents used certification examination results in treatment planning. CONCLUSIONS: Geriatric assessment is less recognized than the long-term care insurance system, and its results are rarely used in clinical practice. However, 28% of certification examination results are utilized in treatment decision-making. Notably, this survey first showed the incorporation of the long-term care insurance system into the medical care of vulnerable elderly patients with cancer.

Informational support for depression and quality of life improvements in older patients with cancer: a systematic review and meta-analysis.

PURPOSE: To assess and summarize the effects of informational support on depression and quality of life of older patients with cancer. METHODS: PubMed, MEDLINE, and Web of Science were searched to identify articles written in English and published until March 2021. Studies within 10 years period (2010-2021) were included. Randomized controlled trials were included if they evaluated the impact of informational support on depression and quality of life. All analyses were performed with Review Manager 5.3. RESULTS: Twelve studies with a total of 2374 participants met the inclusion criteria. Our primary outcomes included depression and quality of life. (1) Depression: results indicated no statistically significant difference and low heterogeneity [SMD = 0.28, 95% CI (- 0.24,0.80), p = 0.45; I2 = 0%], (2) Quality of life: in the subgroup analyses of EORTC QLQ-C30, results indicated a significant effect of informational support on quality of life [SMD = 2.84, 95% CI (0.63, 5.05), p = 0.03; I2 = 79%]; in the subgroup analyses of FACT and SF-36, there were no significance. CONCLUSIONS: Informational support could reduce depression and did improve the quality of life in older cancer patients with statistical significance. The findings suggested that informational support was an effective approach to improve depression and quality of life in older patients with cancer.

Burden of Treatment among Elderly Patients with Cancer: A Scoping Review.

BACKGROUND: The objective of this scoping review is to understand how treatment burden is experienced in elderly patients with cancer and what the most prevalent dimensions of treatment burden are among this population. According to one conceptual model, there are six dimensions of treatment burden, including financial, medication, administrative, time/travel, lifestyle, and healthcare. METHODS: A scoping review methodology framework was used to collected data from EMBASE CINAHL (Cumulative Index to Nursing and Allied Health Literature), Medline/PubMed, Scopus, Web of Science, Embase, and Cochrane from 2000 to March 2020. Studies which focused on treatment burden among elderly patients with cancer (+65 years) were selected. Data were extracted using a standardized proforma. RESULTS: The results identified 3319 total papers. Of these, 24 met the inclusion criteria and were included in the scoping review. A significant proportion of these studies was conducted in the United States (n = 10) using self-reported, cross-sectional data. Financial burden was the most prevalent dimension of treatment burden, with 11 studies focusing on the direct and indirect costs associated with cancer treatment. Other but less obvious aspects of treatment burden elderly patients experienced included the length of time taken to access and administer treatment and medication-related burdens. CONCLUSIONS: Emerging findings suggest that the financial aspects of cancer treatment are a significant burden for most elderly cancer patients. Personalized healthcare interventions targeting ways to reduce and screen for treatment burden, particularly those related to cost, are urgently needed.

Research on the quality hospice care of elderly cancer patients in China under social work intervention.

BACKGROUND: Few studies have specifically addressed quality of life issues for elderly hospice patients. The purpose of this study is to explore various factors and service patterns of the quality of life of end-of-life care for the elderly. METHODS: We collect the data and make small-scale exploratory study via semi-structured individual interviews. Data were collected from the family of 2 elderly cancer patients receiving hospice services, and the data were analyzed qualitatively. RESULTS: After investigation, we found that elderly people in hospice care, regardless of age, are suffering from physical and psychological pain and do not want to spend the rest of their lives in the hospital, but want to die in their own homes. CONCLUSIONS: Both hospitalization and in-home care can improve resource utilization, and the key is to find various factors affecting the quality of life. Improving the quality of life is what patients and their families need most.