Health care use and remaining needs for support among women with breast cancer in the first 15 months after diagnosis: the role of the GP.

BACKGROUND: The number of women with breast cancer in general practice is rising. To address their needs and wishes for a referral, GPs might benefit from more insight into women's health care practices and need for additional support. OBJECTIVE: To examine the prevalence of health care use and remaining needs among women with breast cancer in the first 15 months after diagnosis. METHODS: In this multicentre, prospective, observational study women with breast cancer completed a questionnaire at 6 and 15 months post-diagnosis. Medical data were retrieved through chart reviews. The prevalence of types of health care used and remaining needs related to medical, psychosocial, paramedical and supplementary service care (such as home care), was examined with descriptive analyses. RESULTS: Seven hundred forty-six women completed both questionnaires. At both assessments patients reported that they had most frequent contact with medical and paramedical providers, independent of types of treatment received. Three to fifteen percent of the patients expressed a need for more support. Prominent needs included a wish for more frequent contact with a physiotherapist, a clinical geneticist and a psychologist. Patients also wanted more help for chores around the house, particularly in the early post-treatment phase. CONCLUSION: A small but relevant percentage of women with breast cancer report having unmet needs. GPs may need to be particularly watchful of their need for more support from specific providers. Future research into the necessity of structural needs assessment among cancer patients in general practice is warranted.

Risk factors of unmet needs among women with breast cancer in the post-treatment phase.

OBJECTIVE: Unmet health care needs require additional care resources to achieve optimal patient well-being. In this nationwide study we examined associations between a number of risk factors and unmet needs after treatment among women with breast cancer, while taking into account their health care practices. We expected that more care use would be associated with lower levels of unmet needs. METHODS: A multicenter, prospective, observational design was employed. Women with primary breast cancer completed questionnaires 6 and 15 months post-diagnosis. Medical data were retrieved from medical records. Direct and indirect associations between sociodemographic and clinical risk factors, distress, care use, and unmet needs were investigated with structural equation modeling. RESULTS: Seven hundred forty-six participants completed both questionnaires (response rate 73.7%). The care services received were not negatively associated with the reported levels of unmet needs after treatment. Comorbidity was associated with higher physical and daily living needs. Higher age was associated with higher health system-related and informational needs. Having had chemotherapy and a mastectomy were associated with higher sexuality needs and breast cancer-specific issues, respectively. A higher level of distress was associated with higher levels of unmet need in all domains. CONCLUSIONS: Clinicians may use these results to timely identify which women are at risk of developing specific unmet needs after treatment. Evidence-based, cost-effective (online) interventions that target distress, the most influential risk factor, should be further implemented and disseminated among patients and clinicians.

Patient- and tumor-related predictors of chemotherapy intolerance in older patients with cancer: A systematic review.

OBJECTIVE: The aim of this systematic review was to investigate patient-related factors (e.g. depressive symptoms, cognition, mobility, activities of daily living (ADL)) as well as tumor-related factors (e.g. tumor type, chemotherapy regimen) influencing chemotherapy intolerance in cancer patients aged 65 years or older. METHODS: We included observational studies that reported data on possible predictors of chemotherapy intolerance in older patients with cancer. We studied chemotherapy intolerance using the following outcomes: chemotherapy toxicity grade 3 to 5, unplanned hospitalization, chemotherapy discontinuation, chemotherapy dose reduction, functional decline, and chemotherapy mortality. We searched PubMed, Embase, and PsycInfo for articles between January 1995 and July 2016. The quality of the included studies was assessed using the Quality in Prognosis Studies (QUIPS) tool. RESULTS: The search yielded 1774 articles, and 30 articles from 27 studies were included. The patient-related factors associated with chemotherapy intolerance, in terms of the size of the association and the consistency of the results, were more than one fall in the last six months, mobility problems, poor performance status and the presence of severe comorbid conditions. The tumor-related factors that were associated with chemotherapy intolerance in older patients with cancer were certain regimens of chemotherapy and polychemotherapy, as compared to monochemotherapy. The number of studies on unplanned hospitalization and functional decline was small. CONCLUSION: The included studies were heterogeneous with respect to endpoints and included parameters. Nevertheless, the size of the association and the consistency of results suggest that all these factors are relevant for everyday oncological practice.

Functional status decline in older patients with breast and colorectal cancer after cancer treatment: A prospective cohort study.

OBJECTIVES: The aim of the present study was to disentangle the impact of age and that of cancer diagnosis and treatment on functional status (FS) decline in older patients with cancer. MATERIALS AND METHODS: Patients with breast and colorectal cancer aged 50-69years and aged ≥70years who had undergone surgery, and older patients without cancer aged ≥70years were included. FS was assessed at baseline and after 12months follow-up, using the Katz index for activities of daily living (ADL) and the Lawton scale for instrumental activities of daily living (IADL). FS decline was defined as ≥1 point decrease on the ADL or IADL scale from baseline to 12months follow-up. RESULTS: In total, 179 older patients with cancer (≥ 70years), 341 younger patients with cancer (50-69years) and 317 older patients without cancer (≥ 70years) were included. FS decline was found in 43.6%, 24.6% and 28.1% of the groups, respectively. FS decline was significantly worse in older compared to younger patients with cancer receiving no chemotherapy (44.5% versus 17.6%, p<0.001), but not for those who did receive chemotherapy (39.4% versus 30.8%, p=0.33). Among the patients with cancer, FS decline was significantly associated with older age (OR 2.63), female sex (OR 3.72), colorectal cancer (OR 2.81), polypharmacy (OR 2.10) and, inversely, with baseline ADL dependency (OR 0.44). CONCLUSION: Cancer treatment, and older age are important predictors of FS decline. The relation of baseline ADL dependency and chemotherapy with FS decline suggest that the fittest of the older patients with cancer were selected for chemotherapy.

Don't forget the dentist: Dental care use and needs of women with breast cancer.

PURPOSE: Patients with breast cancer may develop dental problems due to treatment. We examined the prevalence of their dental care use and needs, compared the prevalence of use with that of the general population, and examined which factors predict patients' dental care use. METHODS: Patients with primary breast cancer completed a questionnaire at 6 and 15 months post-diagnosis. Medical data were retrieved from medical records. The prevalence of dental care use and needs was examined with descriptive analyses. Associations between predictors and dental care use were examined with multivariate analyses. RESULTS: Twenty-one percent of 746 participants visited their dentist at least once in the past three months at 6 months, and 23% at 15 months post-diagnosis. The estimated percentage of women with at least one contact with their dentist in 12 months was low compared to the general female population (31.9% versus 79.5%). One to two percent of the respondents wanted more contact. Having dental care insurance (odds ratio 1.80; 95% CI, 1.08-3.00), chemotherapy (odds ratio 1.93; 95% CI, 1.21-3.06), and clinical distress 6 months post-diagnosis (odds ratio 2.53; 95% CI, 1.70-3.79) predicted use of dental care 9 months later. CONCLUSIONS: Up to 15 months post-diagnosis, breast cancer patients' dental care use is lower than warranted. Oncologists and cancer nurses are recommended to inform patients about dental risks, and to encourage them - particularly those without insurance - to visit their dentist. Occurrence of dental problems should be monitored, especially in patients who receive chemotherapy or who are clinically distressed.

Predictors of enduring clinical distress in women with breast cancer.

To date, little is known about enduring clinical distress as measured with the commonly used distress thermometer. We therefore used the distress thermometer to examine: (a) the prevalence of enduring clinical distress, distress-related problems, and subsequent wish for referral of women with breast cancer, and (b) sociodemographic, clinical, and psychosocial predictors of enduring clinical distress. The study had a multicenter, prospective, observational design. Patients with primary breast cancer completed a questionnaire at 6 and 15 months postdiagnosis. Medical data were retrieved from chart reviews. Enduring clinical distress was defined as heightened distress levels over time. The prevalence of enduring clinical distress, problems, and wish for referral was examined with descriptive analyses. Associations between predictors and enduring clinical distress were examined with multivariate analyses. One hundred sixty-four of 746 patients (22 %) reported having enduring clinical distress at 6 and 15 months postdiagnosis. Of these, 10 % wanted to be referred for care. Fatigue was the most frequently reported problem by patients with and without clinical distress, at both time points. Lack of muscle strength (OR = 1.82, 95 % CI 1.12-2.98), experience of a low level of life satisfaction (OR = 0.77, 95 % CI 0.67-0.89), more frequent cancer worry (OR = 1.40, 95 % CI 1.05-1.89), and neuroticism (OR = 1.09, 95 % CI 1.00-1.18) were predictors of enduring clinical distress. In conclusion, one in five women with breast cancer develops enduring clinical distress. Oncologists, nurse practitioners, and cancer nurses are advised to use single-item questions about distress and distress-related problems to ensure timely detection of high-risk patients. Providers should also routinely assess fatigue and its causes, as fatigue is the most frequently reported distress-related problem over time.

The Value of Fatigue Severity to Rule Out Depression in Older Adult Patients With Cancer.

PURPOSE/OBJECTIVES: To evaluate whether fatigue severity can serve as a cue to investigate the presence of depression in older adult patients with cancer. DESIGN: Cross-sectional observational cohort study. SETTING: Seven hospitals and general practices in Belgium and the Netherlands. SAMPLE: 205 older adult patients with cancer and 436 older adults without cancer (aged 70 years or older). METHODS: The diagnostic accuracy of fatigue as a proxy for depression was evaluated using sensitivity, specificity, and predictive values. MAIN RESEARCH VARIABLES: Fatigue was measured with a visual analog scale, and depression was measured with the 15-item Geriatric Depression Scale. FINDINGS: Fifty-six percent of the population experienced fatigue, and 13% were depressed. For fatigue as a cue for depression, sensitivity was 82%, specificity was 47%, positive predictive value was 18%, and negative predictive value was 95%. CONCLUSIONS: The data confirm that fatigue is a valuable cue to investigate the presence of depression because 82% of depressed participants were correctly identified by fatigue. The assessment of fatigue severity is intuitive, quick, straightforward, and usually already implemented. IMPLICATIONS FOR NURSING: Identification of depression is difficult in older adult patients with cancer. Instead of experiencing affective symptoms of depression, older adult patients are more likely to disclose somatic symptoms, such as fatigue, which often overlap with cancer-related symptoms. Nurses should be aware of this problem and should be alert for the possibility of depression in older adult patients presenting with fatigue.

A cohort study on the evolution of psychosocial problems in older patients with breast or colorectal cancer: comparison with younger cancer patients and older primary care patients without cancer.

BACKGROUND: Although older cancer survivors commonly report psychosocial problems, the impact of both cancer and ageing on the occurrence of these problems remains largely unknown. The evolution of depression, cognitive functioning, and fatigue was evaluated in a group of older cancer patients in comparison with a group of younger cancer patients and older persons without cancer. METHODS: Older (≥70 years) and younger cancer patients (50-69 years) with breast or colorectal cancer stage I-III, and older persons without cancer (≥70 years) were included. Data were collected at baseline and one year follow-up and were available for 536 persons. Depression was evaluated with the 15-item Geriatric Depression Scale. Cognitive functioning was measured with the cognitive functioning subscale of the European Organization for Research and Treatment of Cancer. Fatigue was measured with a Visual Analogue Scale. Risk factors for depression, cognitive functioning, and fatigue were analysed using multivariate logistic regression analyses. Risk factors included cancer- and ageing-related factors such as functional status, cancer treatment, and comorbidities. RESULTS: The evolution of psychosocial problems was similar for the group of older (N = 125) and younger cancer patients (N = 196): an increase in depression (p < 0.01), slight worsening in cognitive functioning (p = 0.01), and no clear change in fatigue. Also, compared to the group of people without cancer (N = 215), the differences were small and after one year of follow-up only depression was more frequent in older cancer patients compared to older persons without cancer (18% versus 9%, p = 0.04). In multivariate analyses the main risk factors for psychosocial problems after one year follow-up were changes in functional status and presence of baseline depression, fatigue, or cognitive impairment. CONCLUSION: Over the course of one year after a diagnosis of cancer, cancer patients face increasing levels of depression and increasing difficulties in cognitive functioning. The main risk factor for psychosocial problems was presence of the problem at baseline. This calls for regular screening for psychosocial problems and exchange of information on psychosocial functioning between different health care providers and settings during the treatment and follow-up trajectory of cancer patients.

Geriatric screening tools are of limited value to predict decline in functional status and quality of life: results of a cohort study.

BACKGROUND: Geriatric screening tools are increasingly implemented in daily practice, especially in the oncology setting, but also in primary care in some countries such as the Netherlands. Nonetheless, validation of these tools regarding their ability to predict relevant outcomes is lacking. In this study we evaluate if geriatric screening tools predict decline in functional status and quality of life after one year, in a population of older cancer patients and an older primary care population without cancer with a life expectancy of at least six months. METHODS: Older cancer patients and a general older primary care population without a history of cancer (≥ 70 years) were included in an on-going prospective cohort study. Data were collected at baseline and after one-year follow-up. Functional decline was based on the Katz Index and Lawton IADL-scale and was defined as deterioration on one or more domains. Decline in quality of life was measured using the global health related subscale of the EORTC QLQ-C30, and was defined as a decline ≥ 10 points. The selected geriatric screening tools were the abbreviated Comprehensive Geriatric Assessment, Groningen Frailty Indicator, Vulnerable Elders Survey-13, and G8. We calculated sensitivity, specificity, predictive values, and odds ratios to assess if normal versus abnormal scores predict functional decline and decline in quality of life. RESULTS: One-year follow-up data were available for 134 older cancer patients and 220 persons without cancer. Abnormal scores of all screening tools were significantly associated with functional decline. However, this was only true for older persons without cancer, and only in univariate analyses. For functional decline, sensitivity ranged from 54% to 71% and specificity from 33% to 66%. For decline in quality of life, sensitivity ranged from 40% to 67% and specificity from 37% to 54%. CONCLUSION: In older persons with a relatively good prognosis, geriatric screening tools are of limited use in identifying persons at risk for decline in functional status or quality of life after one year. Hence, a geriatric screening tool cannot be relied on in isolation, but they do provide very valuable information and may prompt physicians to also consider different aspects of functioning.

Loneliness in patients with cancer: the first year after cancer diagnosis.

OBJECTIVES: We studied the frequency and evolution of social and emotional loneliness in older cancer patients in comparison with younger cancer patients and older people without cancer. We evaluated if changes in common cancer-related and ageing-related problems such as fatigue, cognitive functioning and functional status contributed to the occurrence of loneliness. METHODS: This study was part of the KLIMOP study (Dutch acronym for project on older cancer patients in Belgium and the Netherlands) and included older (≥70 years) and younger cancer patients (50-69 years) and older people without cancer. Data were collected at baseline and 1-year follow-up. Loneliness was measured with the loneliness scale of De Jong-Gierveld. The relationship between loneliness after 1 year and changes in fatigue, cognitive functioning and functional status was tested in multivariate logistic regression analyses. RESULTS: Data were available for 475 participants. At baseline, older cancer patients were less lonely compared with older people without cancer. After 1 year, the frequency of emotional loneliness had significantly increased for older cancer patients (26-42%, p < 0.001) and had reached levels of older people without cancer. Emotional loneliness also increased for younger cancer patients (25-34%, p = 0.02), but not for older people without cancer (40-38%, p = 0.69). Frequency of social loneliness did not change significantly. People who were persistently fatigued and people who became or were persistently impaired on cognitive functioning were at increased risk of becoming lonely. CONCLUSION: Loneliness, in particular emotional loneliness, is a common problem in cancer patients, and its frequency changes considerably over time.

The relation between depression, coping and health locus of control: differences between older and younger patients, with and without cancer.

OBJECTIVE: Depression is an important health issue in cancer patients. People use different coping strategies and health locus of control to manage stressful situations, which relate to different risks of depression. Coping strategies and health locus of control can be changed by cognitive behavioral interventions. METHODS: In a cohort study, we investigated differences in coping strategy and health locus of control in older (≥70 years) and middle-aged (50-69 years) cancer patients, and older patients without cancer (≥70 years), and their association with presence of depression. We also investigated how these factors interact. We used the short version of the Utrecht Coping List, the Multidimensional Health Locus of Control scale, and the 15-item Geriatric Depression Scale. RESULTS: Data were available from 1317 participants. Overall prevalence of depression was 12%. Older cancer patients tended to use an avoiding coping strategy more frequently than middle-aged cancer patients. This was associated with higher risk of depression. Older cancer patients less often used an active coping strategy, in comparison with middle-aged cancer patients, which was associated with a lower risk of depression. Especially in women using a seeking social support strategy, there was a lower risk of depression. Overall, the internal health locus of control was associated with higher and the external 'powerful others' locus with lower risk of depression. CONCLUSIONS: Older cancer patients strongly differ from middle-aged cancer patients, in particular with respect to coping. Interventions to prevent or alleviate depression should incorporate these differences.

Study protocol of KLIMOP: a cohort study on the wellbeing of older cancer patients in Belgium and the Netherlands.

BACKGROUND: Cancer is mainly a disease of older patients. In older cancer patients, additional endpoints such as quality of survival and daily functioning might be considered equally relevant as overall or disease free survival. However, these factors have been understudied using prospective designs focussing on older cancer patients. Therefore, this study will focus on the impact of cancer, ageing, and their interaction on the long-term wellbeing of older cancer patients. METHODS/DESIGN: This study is an observational cohort study. We aim to recruit 720 cancer patients above 70 years with a new diagnosis of breast, prostate, lung or gastrointestinal cancer and two control groups: one control group of 720 patients above 70 years without a previous diagnosis of cancer and one control group of 720 cancer patients between 50 - 69 years newly diagnosed with breast, prostate, lung or gastrointestinal cancer. Data collection will take place at inclusion, after six months, after one year and every subsequent year until death or end of the study. Data will be collected through personal interviews (consisting of socio-demographic information, general health information, a comprehensive geriatric assessment, quality of life, health locus of control and a loneliness scale), a handgrip test, assessment of medical records, two buccal swabs and a blood sample from cancer patients (at baseline). As an annex study, caregivers of the participants will be recruited as well. Data collection for caregivers will consist of a self-administered questionnaire examining depression, coping, and burden. DISCUSSION: This extensive data collection will increase insight on how wellbeing of older cancer patients is affected by cancer (diagnosis and treatment), ageing, and their interaction. Results may provide new insights, which might contribute to the improvement of care for older cancer patients.