Literature DB >> 33442241

Assessment of Functional Status and Quality of Life of Elderly Patients Undergoing Radiotherapy and Radiotherapy Combined with Chemotherapy - A Cross-Sectional Study.

Marta Muszalik1, Iwona Repka2, Grażyna Puto2, Justyna Kowal-Skałka2, Kornelia Kędziora-Kornatowska1.   

Abstract

BACKGROUND: Aging is associated with various diseases, a plethora of which are oncological. Selected treatment methods influence the performance status and the adaptability to changing circumstances.
OBJECTIVE: The aim of the study was to assess the functional status, quality of life, and adaptation to disease of elderly patients who underwent only radiotherapy or chemotherapy combined with radiotherapy. PATIENTS AND METHODS: The cross-sectional study was conducted in a sample of 76 patients diagnosed with cancer, over 60 years of age (mean 69.3/SD 6.8) who were hospitalized in the Radiotherapy Department at the Ludwik Rydygier Hospital in Krakow. Standardized research tools were: Functional Assessment of Chronic Illness Therapy (FACIT-F), Mental Adjustment to Cancer Scale (Mini-MAC), Lawton Instrumental Activity of Daily Living (IADL), Yesavage Geriatric Depression Scale (GDS), an assessment scale of the post radiation reaction devised by Eastern Cooperative Oncology Group (ECOG).
RESULTS: Most (n=37) patients were treated with a combination of radiotherapy and chemotherapy (48.6%), whereas 21 patients underwent only radiotherapy (27.6%). More than half of the respondents were male (68.4%, n = 52), whereas 24 (31.6%) were female. The assessment of the participants' performance status yielded results indicating an average level of all domains. Men performed better in terms of physical condition compared to a group of women (p=0.010). Women experienced fatigue more frequently than men (p=0.012). Patients who had received radiation therapy combined with chemotherapy achieved on average better results in functional well-being (FWB) than the patients who had undergone radiotherapy only (p=0.046). Depression had a significant impact on all spheres of functioning (p<0.001) except social/family well-being.
CONCLUSION: The results pointed to the essential elements that should be taken into consideration in relation to treatment planning and providing care. Particular attention should be paid to women who suffered from depression and negative adaptation strategies that directly affect their functioning.
© 2021 Muszalik et al.

Entities:  

Keywords:  EORTC/RTOG; FACIT-F; GDS; IADL; Mini-MAC; chemotherapy; functional status; radiotherapy

Mesh:

Year:  2021        PMID: 33442241      PMCID: PMC7800427          DOI: 10.2147/CIA.S281871

Source DB:  PubMed          Journal:  Clin Interv Aging        ISSN: 1176-9092            Impact factor:   4.458


Introduction

Population aging is one of the challenges developed countries are facing today. According to the Central Statistical Office, the number of people aged over 60 in Poland will be an estimated 10.8 million in 2030, and 13.7 million in 2050. People over that age will account for approximately 40% of the national population in 2050. In the following years, a seventy percent increase in neoplastic diseases affecting people over 60 is to be expected in Poland. The increase in morbidity will also occur worldwide.1 Due to such a major challenge, a new sub-discipline of medicine – geriatric oncology – was created. It utilizes an interdisciplinary and multidimensional approach to elderly patients with oncological problems.2 Cancer is deemed a serious life experience and a threat to a patient’s health and normal functioning. Oncological treatment of elderly people is associated with the risk of deterioration of their general condition and performance status, which consequently leads to reduced autonomy. Not only is the aging period characterized by different physiologies closely related to involutional changes in the body but also by the burden of comorbidities and socio-economic hardship.2,3 Elderly patients constitute a heterogeneous population in terms of performance status. These are individuals who belong to a group characterized by good general condition, an intermediate group or a group with limited functional reserves. Some clinical and functional disorders are reversible, and silencing them can improve the patient’s general condition and, therefore, increase the likelihood of a successful oncological treatment. Overall health, functional status, nutritional status, intellectual performance, previous treatment, and socio-economic status are of major importance. A dedicated Comprehensive Geriatric Assessment, later referred to as CGA, is used in planning oncological therapy.3,4 Comprehensive Geriatric Assessment (CGA) is a compilation of tools that can predict morbidity and mortality in elderly people. It has also been shown that various components of CGA influence clinical decision-making and predicting treatment outcomes in elderly cancer patients.5 The CGA helps to detect health problems and identify patients who are at a higher risk of mortality, functional decline, surgical and chemotherapy-related complications. The advantage of the CGA is that it identifies health problems that are not typically diagnosed during a routine examination of elderly cancer patients.6 It is extremely difficult to adapt to a neoplastic disease, which is manifested in behavioral, cognitive and emotional processes. Moreover, the adaptation strategy is an integral part of the patient’s quality of life.7 Mental adaptation to the illness is equated with coping with stress during a traumatizing experience. Then, the patient focuses on overcoming the stressor. Antonovsky considers cancer one of the most critical events in one’s life. Adaptation thus helps a person soothe emotional discomfort and restore a state of mental balance when faced with a new challenge. Therefore, adaptation serves the purpose of coping with disease, treatment and life changes. The theory of adaptation to a neoplastic disease is based on Lazarus’ and Folkman’s concept. According to it, the stress experienced as a consequence of cancer is the result of both physical decline and cognitive condition of an affected person.7,8 Adapting to a neoplastic disease requires coping with the disease itself as well as its immediate consequences, such as pain, bad mood, fatigue, changes in the quality of life and many others. Certain attitudes and strategies related to psychosocial adjustment determine the level of patients’ functioning.7 There are two styles of fighting cancer referred to as constructive and destructive. The former is associated with a fighting spirit and positive re-evaluation strategies. Patients who are characterized by the fighting spirit strategy regard the disease as a personal challenge and decide to take action. Positive re-evaluation of the problem helps find hope and appreciate one’s life so far. The latter is characterized by fear and helplessness-hopelessness strategy. The patient suffers from anxiety over the disease which is perceived as a threat. Helplessness-hopelessness strategy indicates a passive approach to the disease, as well as a feeling of impotence and confusion.8,9 Few scientific reports indicate the importance of assessing cancer patients’ functioning and their quality of life.10–12 The aim of the study was to assess the performance status, quality of life, and adaptation to the disease of elderly patients who underwent radiotherapy or chemotherapy combined with radiotherapy.

Patients and Methods

The study was conducted among the oncology ward patients at the Hospital of Ludwik Rydygier in Krakow. Seventy-six patients over 60 years of age diagnosed with cancer, undergoing radiotherapy or radiotherapy combined with chemotherapy, were qualified for the study. Age, inpatient status, diagnosis and histopathological confirmation of the tumor, qualification for treatment with radiotherapy or radiotherapy combined with chemotherapy, consent to participate were the criteria for the inclusion in the study. The exclusion criteria consisted of severe cognitive and mental disorders, treatment with palliative radiotherapy, and lack of consent to taking part in the study. The participants were informed about the purpose of the study. A research consent was obtained from the Bioethics Committee of the Jagiellonian University. This cross-sectional prospective study was conducted between February 2016 and May 2018 in accordance with the Declaration of Helsinki. The age of the participants ranged from 60 to 86 years, and the mean/± SD were 69.3 ± 6.8 years, respectively. Regarding the age distribution, 43 (56.5%) patients were between 60 and 69 years of age, 25 participants were between 70 and 79 years of age (32.8%), and 8 participants were over 80 (10.5%). The study group was diverse in terms of gender. More than half of the respondents were male (68.4%, n = 52), whereas more than 1/3 of the study participants (31.6% n = 24) were female. Functional status, health-related quality of life (HRQoL), and fatigue level were assessed at the end of the third week of treatment (radiotherapy or radiotherapy combined with chemotherapy) using the FACIT-F questionnaire (Version 4), which involved 5 areas of a chronically ill patient’s life: Physical well-being (PWB) – 7 questions Social/family well-being (SWB) – 7 questions Emotional well-being (EWB) – 6 questions Functional well-being (FWB) – 7 questions Fatigue subscale (FS) – 13 questions The evaluation scale of FACIT-F included the following five evaluating points: (i) Not at all: 0 points; (ii) a little bit: 1 point; (iii) somewhat: 2 points; (iv) quite a bit: 3 points; (v) very much: 4 points. Every patient was assessed in all the subscales after which the global scores were calculated. Higher scores signified better HRQoL and functional capacity. The following calculation methods were used: FACIT-F = (PWB score)+(SWB score)+(EWB score)+(FWB score) +(FS score).13 Scale of the post radiation reaction based on the Toxicity Criteria of the Radiation Therapy Oncology Group (RTOG) and the European Organization for Research and Treatment of Cancer (EORTC). EORTC/RTOG consist: 0 – lack of reaction, 1 – erythema, 2 – rash epitheliolysis, 3 – diffuse epitheliolysis, 4 – ulcers (bleeding and necrosis).14 MAC scale in the Polish adaptation by Juczyński, contained 29 items rated on a 4-point scale (1–4). This scale examines four strategies of coping with the disease: fighting spirit, anxiety, helplessness-hopelessness, and positive re-evaluation. Each strategy consisted of 7 statements and the results were calculated separately for each strategy. The score for each strategy ranged from 7 to 28 points. Factor analysis identified two basic styles of coping with the disease: passive/destructive and constructive, which described a person who tried to cope with a difficult situation and adapt better to the disease.15 Lawton Instrumental Activities of Daily Living (IADL) measures daily complex activities such as using the phone, walking, shopping, preparing a meal, doing housework, DIY, preparing and taking medications, or managing money. The maximum number of points that could be obtained was 27.16 Yesavage Geriatric Depression Scale (15-point version) evaluates the severity of depression symptoms. The range from 11 to 15 points signified severe depression; 6 to 10 points – moderate depression; 0 to 5 points – lack of depression.17 ECOG scale (Eastern Cooperative Oncology Group Fitness Scale), also known as the Zubrod scale measures the overall performance status of the patient. It is popular in oncology, geriatrics, psychiatry and the evaluation of chronically ill patients. Its scale consisted of 6 levels, where 0 meant standard performance, in other words, the ability to carry out normal activities without restrictions; 1 – presence of symptoms of the disease, namely the ability to walk and do some light work; 2 – ability to perform personal activities, inability to work, which included less than half a day spent in bed; 3 – limited ability to perform personal activities, meaning a need to spend more than half a day in bed; 4 – need to spend the whole day in bed, and to be constantly cared for due to illness; 5 – death.18 In addition, an analysis of medical records, patient observation, and socio-demographic data was collected.

Statistical Analysis

The statistical analysis was performed using IBM SPSS V22.00. The collected data were subjected to quantitative, percentage and statistical analyses with the use of testing data distributions for normality using the Shapiro–Wilk test. The r-Pearson correlation coefficient was used when all scales were calculated on a quantitative scale and the distributions of the variables were close to normal distribution. Pearson’s correlation coefficient was thus used to determine the level of linear dependence between the variables. The degree of correlation of two variables had a value in the range between −1 and 1. A value equal to 0 meant there was no linear relationship between the variables. A value closer to 1 or −1 indicated a strong relationship. In the case of a non-normal distribution or ordinal nature of the variables, the Spearman correlation coefficient was needed to examine the correlation between two sets of data with both of them expressed on an ordinal scale. This was achieved by assigning ranks to individual observations (numbers from 1 to n), which made it possible to order them in a sequence (ascending or descending). In order to show the differences between the means of two different groups, the Student’s t-test was used for normally distributed data. Fisher Snedecor’s analysis of variance for two or more groups was performed, examining observations that depended on one or more factors simultaneously. It helped explain the probability of the selected factors which could have been the cause of the differences between the observed group means. Also, P<0.05 was assumed as statistically significant. The obtained data were statistically analyzed using the program IBM SPSS V22.0.

Results

Most of the patients 37 (48.6%) were treated with a combination of radiotherapy and chemotherapy, other patients were treated with radiotherapy or chemotherapy only. The characteristics of the study group according to the diagnosis and treatment method are presented in Table 1.
Table 1

Characteristic of Study Groups According to Diagnosis and Kind of Treatment (N=76)

Diagnosis/Kind of TreatmentRadiotherapy n(%)Chemotherapy n(%)Radiotherapy + Chemotherapy n(%)Radiotherapy + Patients After Surgery n(%)Radiotherapy + Chemotherapy + Patients After Surgery n(%)
Cancer of the oral cavity6 (7.9)1 (1.3)6 (7.9)
Head and neck cancer4 (5.3)6 (7.9)2 (2.6)
Cancer of esophagus2 (2.6)1 (1.3)4 (5.3)1 (1.3)3 (3.9)
Cancer of cervical and reproductive organs2 (2.6)1 (1.3)6 (7.9)
Tumors of the central nervous system (CNS)2 (2.6)2 (2.6)1 (1.3)2 (2.6)
Cancer of the large intestine1 (1.3)3 (3.9)2 (2.6)
Lung cancer2 (2.6)3 (3.9)1 (1.3)
Cancer of the urinary bladder1 (1.3)4 (5.2)1 (1.3)
Gastric cancer1 (1.3)2 (2.6)
Prostate cancer1 (1.3)
Cancer of the skin1 (1.3)
Focus primaries ignotus (FPI)1 (1.3)
Total21 (27.6)4 (5.3)37 (48.6)4 (5.3)10 (13.2)
Characteristic of Study Groups According to Diagnosis and Kind of Treatment (N=76) The functional assessment generally presents an average level in all dimensions of life. The results are presented in Table 2.
Table 2

Functional Assessment and HRQoL in the Study Group According to FACIT-F (N=76)

ItemPhysical Well-Being (PWB)Social/Family Well-Being (SWB)Emotional Well-Being (EWB)Functional Well-Being (FWB)Fatigue Subscale (FS)FACIT-F TOIFACIT-F Total Score
0–280–280–240–280–520–1080–160
Mean18.2618.4513.7616.8832.5567.799.91
SD5.975.395.215.2410.519.122.65
Min.3.00.02.05.05.01546.0
Max.28.024.024.028.051.0102146.0
Functional Assessment and HRQoL in the Study Group According to FACIT-F (N=76) The Zubrod/ECOG Performance Status scale. Among the respondents, only 4 (5.26%) patients were able to perform their daily activities without any limitations, 44 participants (57.89%) showed independence in terms of moving and doing light work. In 27 people (35.53%) the ability to perform personal activities, the inability to work, and the need to spend less than half a day in bed were found. Only one patient (1.32%) was fully dependent on other people. Daily functioning assessment was performed using the Lawton scale (IADL). Test subjects obtained an average result of 18.03/SD ± 4.21. The depression occurrence was assessed using GDS. Among the examined patients, 21 (27.63%) were not depressed. However, the majority – 45 people (59.21%) – experienced moderate depression, while 10 patients (13.16%) suffered from escalating depression. The EORTC/RTOG scale was used to assess the severity of the radiation reaction. In the study group, 45 people (59.21%) did not have any skin lesions, 32 patients (30.26%) had erythema, and 7 (9.21%) had rash epitheliolysis. Only 1 person had diffuse epitheliolysis. The most frequently chosen strategy of mental adaptation to cancer according to Mini-MAC was positive re-evaluation and fighting spirit, while the least used one was the helplessness-hopelessness approach. Anxiety as a coping strategy obtained an average result. The average score for the destructive style was lower than for the constructive one. The results are presented in Table 3.
Table 3

Results of Mini-MAC in the Study Group (N=76)

Mini-MACnMin.Max.MeanSD
Anxiety7672617.093.77
Fighting spirit76142821.33.19
Helplessness– hopelessness76122417.262.01
Positive reevaluation76152721.553.03
Destructive style764*9*7.091.16
Constructive style761*8*4.391.23

Note: *Sten.

Abbreviations: n, number; Min – Max, minimum – maximum; M, mean; SD, standard deviation.

Results of Mini-MAC in the Study Group (N=76) Note: *Sten. Abbreviations: n, number; Min – Max, minimum – maximum; M, mean; SD, standard deviation. The gender of the respondents had an impact on their functioning and quality of life in terms of physical condition (PWB), fatigue (FS) and their overall assessment using FACIT-F TOI and FACIT-F. Males achieved higher scores for physical condition compared to the group of women (p = 0.010). Fatigue was more common in females than males (p = 0.012). Similarly, men obtained higher scores than women (p = 0.007) in the FACIT-F TOI scale, as well as in the FACIT-F scale (p = 0.045), which confirms that men tend to enjoy a better performance status. The results are presented in Table 4.
Table 4

Functional Assessment and HRQoL According to Gender (N=76)

FACIT-FSexnMeanSDtdfp
PWBMale5219.445.662.629740.010
Female2415.715.94
SWBMale52185.01−1.066740.290
Female2419.426.13
EWBMale5213.795.430.062740.951
Female2413.714.82
FWBMale5217.65.371.773740.080
Female2415.334.68
FSMale5234.610.12.589740.012
Female2428.139.99
FACIT-F TOIMale5271.6318.82.753740.007
Female2459.1717.32
FACIT-FMale52103.4222.012.036740.045
Female2492.2922.47

Abbreviations: n, number; M, mean; SD, standard deviation; df, degree of freedom, t, Student’s t-test; PWB, physical well-being; SWB, social/family well-being; EWB, emotional well-being; FWB, functional well-being; FS, fatigue subscale.

Functional Assessment and HRQoL According to Gender (N=76) Abbreviations: n, number; M, mean; SD, standard deviation; df, degree of freedom, t, Student’s t-test; PWB, physical well-being; SWB, social/family well-being; EWB, emotional well-being; FWB, functional well-being; FS, fatigue subscale. In the study population, no correlation was found between the patients’ age and their functional assessment (FACIT-F) (p>0.05). The analysis showed that there was a positive correlation between the Lawton scale results (IADL) and the FACIT-F functional assessment. The results are presented in Table 5.
Table 5

Correlation Between FACIT-F and Lawton Scale (IADL)

FACIT-FIADL
rp
Physical well-being (PWB)0.3710.001
Social/family well-being (SWB)0.1570.175
Emotional well-being (EWB)0.2040.077
Functional Well-being (FWB)0.5p<0.001
Fatigue subscale (FS)0.529p<0.001
FACIT-F TOI0.544p<0.001
FACIT-F0.545p<0.001

Abbreviation: r, Pearson’s correlation coefficient.

Correlation Between FACIT-F and Lawton Scale (IADL) Abbreviation: r, Pearson’s correlation coefficient. A statistically significant relationship was found between the occurrence of depression and the performance status or quality of life of elderly people suffering from cancer (p <0.05). Depression had a significant impact on all functioning spheres, except for social well-being (SWB). The results are presented in Table 6.
Table 6

Functional Assessment and Depression in the Study Group (N=76)

FACIT-FGDSnMeanSDMinMaxAnova
Physical well-being (PWB)Without depression2122.624.381528F=12.496
Depression moderate4517.335.28528df=2
Severe depression1013.36.51321p<0.001
Social/family well-being (SWB)Without depression2118.623.80924F=2.519
Depression moderate4519.135.10024df=2
Severe depression10158.17024p=0.088
Emotional well-being (EWB)Without depression2117.953.591224F=12.197
Depression moderate4512.244.96223df=2
Severe depression1011.84.54520p<0.001
Functional well-being (FWB)Without depression2120.674.111328F=11.894
Depression moderate4516.044.79525df=2
Severe depression1012.74.78720p<0.001
Fatigue subscale (FS)Without depression2140.769.041551F=14.394
Depression moderate4530.678.831347df=2
Severe depression1023.89.80535p<0.001
FACIT-F TOIWithout depression2184.0515.2646102F=19.029
Depression moderate4564.0415.552394df=2
Severe depression1049.817.501571p<0.001
FACIT-FWithout depression21120.6217.1179146F=24.334
Depression moderate4595.4217.8648132df=2
Severe depression1076.618.5946110p<0.001

Abbreviations: n, number; SD, standard deviation; df, degree of freedom; F, Fisher Snedecor test.

Functional Assessment and Depression in the Study Group (N=76) Abbreviations: n, number; SD, standard deviation; df, degree of freedom; F, Fisher Snedecor test. There is a relationship between the functional assessment of the elderly patients and their mental adaptation to cancer. Most noticeable is the negative correlation between anxiety and PWB, EWB, FWB, FS, FACIT-F TOI and FACIT-F (p<0.001). A correlation between the fighting spirit and EWB (p=0.017) and FACIT-F (p=0.03) was also noted. Greater fighting spirit resulted in a more positive assessment of one’s emotional state and functional well-being. A negative correlation was obtained between the helplessness-hopelessness strategy and the scores in PWB (p<0.001), EWB (p=0.016), FWB (p=0.001), FS (p=0.035), FACIT-F TOI, FACIT-G and FACIT-F (p<0.001). Therefore, greater tendency to psychological adaptation to cancer through helplessness-hopelessness results had a negative impact on the functioning of patients. A positive correlation was noted between positive re-evaluation and family/social well-being (SWB) (p=0.033). The constructive style and SWB (p=0.014) and EWB (p=0.042) proved to also have a positive correlation. These patients had a higher level of family/social well-being and enjoyed a better emotional state. The analysis showed a statistically significant negative correlation between the destructive style and all factors: PWB, EWB, FWB, FS, FACIT-F TOI and FACIT-F (p<0.001), A destructive mental attitude had a holistic negative impact on patients’ functioning. The results are presented in Table 7.
Table 7

Correlation Between Functional Assessment and Mental Adaptation to Oncological Disease in the Study Group (N=76)

FACIT-FMini-MACConstructive StyleDestructive Style
Anxiety AttitudeFighting SpiritHelplessness–HopelessnessPositive Re-Evaluation
rprprprprprp
PWB−0.4740.0000.1030.378−0.4040.000−0.2130.065−0,0470.684−0.486p<0.001
SWB0.0960.4080.1750.1310,0260.8250.2460.0330,2810.0140.0430.711
EWB−0.611p<0.0010.2740.017−0.2760.0160.0990.3970,2330.042−0.551p<0.001
FWB−0.472p<0.0010.1770.126−0.3780.0010.0220.8520,1130.332−0.504p<0.001
FS−0.476p<0.0010.1650.156−0.2420.035−0.0540.6430,0750.519−0.469p<0.001
FACIT-F TOI−0.539p<0.0010.1710.14−0.3620.001−0.090.4380,0570.623−0.547p<0.001
FACIT-F−0.574p<0.0010.2490.03−0.3640.0010.0050.9670,1690.144−0.58p<0.001

Abbreviations: p, statistical significance coefficient; r, Spearman correlation coefficient; PWB, physical well-being; SWB, social/family well-being; EWB, emotional well-being; FWB, functional well-being; FS, fatigue subscale.

Correlation Between Functional Assessment and Mental Adaptation to Oncological Disease in the Study Group (N=76) Abbreviations: p, statistical significance coefficient; r, Spearman correlation coefficient; PWB, physical well-being; SWB, social/family well-being; EWB, emotional well-being; FWB, functional well-being; FS, fatigue subscale. Patients who received radiation therapy combined with chemotherapy achieved on average a higher score in functional well-being (FWB) than the patients undergoing only radiotherapy (p=0.046). There were no statistically significant differences for the remaining FACIT-F scores (p>0.05). The results are presented in Table 8.
Table 8

Correlation Between Functional Assessment and Methods of Treatment in the Study Group (N=76)

FACIT-FMethods of TreatmentsnMSDtdfp
Physical well-being (PWB)Radiotherapy3016.836.597−1.705740.092
Radiotherapy combined with chemotherapy4619.25.41
Social/family well-being (SWB)Radiotherapy3017.935.285−0.669740.506
Radiotherapy combined with chemotherapy4618.785.489
Emotional well-being (EWB)Radiotherapy3012.935.099−1.122740.265
Radiotherapy combined with chemotherapy4614.35.274
Functional well-being (FWB)Radiotherapy3015.45.599−2.029740.046
Radiotherapy combined with chemotherapy4617.854.821
Fatigue subscale (FS)Radiotherapy3030.5312,42−1.361740.178
Radiotherapy combined with chemotherapy4633.878.948
FACIT-F TOIRadiotherapy3062.7721.733−1.842740.069
Radiotherapy combined with chemotherapy4670.9116.72
FACIT-FRadiotherapy3093.6324.948−1.991740.05
Radiotherapy combined with chemotherapy4610420.201

Abbreviations: n, number; M, mean; SD, standard deviation; p, statistical significance coefficient; df, degree of freedom; t, Student’s t-test.

Correlation Between Functional Assessment and Methods of Treatment in the Study Group (N=76) Abbreviations: n, number; M, mean; SD, standard deviation; p, statistical significance coefficient; df, degree of freedom; t, Student’s t-test.

Discussion

Aging is an inevitable process resulting from a natural circle of life. An analysis of the process should be conducted according to biological, psychological and social dimensions. Aging is inevitably associated with functional performance deterioration, but it is worth pointing out that elderly people should be assessed individually, as aging is an individual process, which should be considered in the context of genetic determinants, adaptation skills and life experiences. The objective of the study was to assess the performance status, quality of life and adaptation to the disease of patients treated with a combination of radiotherapy and chemotherapy or with radiotherapy only. The study involved 76 patients with oncological diseases, which are presented in Table 1. In this study, the patients’ general functioning scores were at an average level in all the particular FACIT-F subscales. The importance of carrying out an analysis of patient-reported symptoms and toxicities resulting from the treatment should be emphasized. The research conducted by Baratelli et al found that the introduction of PRO (Patient-Reported Outcomes) into clinical practice, thanks to the active role of nurses, was possible and resulted in a high level of patient satisfaction and a significant improvement in the quality of life compared to the traditional medical consultation.10 Based on their research, the authors also recommend regular assessment of the cancer patients’ quality of life as part of standard treatment.11 What is more, the impact of selected sociodemographic factors on the functioning of patients undergoing oncological treatment was analyzed. On the one hand, there was no correlation between the age of the participants and the FACIT-F assessment of functional performance. On the other hand, the study found a relationship between gender and physical condition (PWB) (p = 0.010) and fatigue (FS) (p = 0.012). Participants’ gender had an impact on the FACIT-TOI (p = 0.007) and FACIT-F (p = 0.045) scores as well. Thus, it was confirmed that men enjoyed a better physical condition and functional performance, while suffering from less fatigue compared to women. Moreover, men chose the strategy of positive reevaluation and a constructive style more often than women did. There was no correlation between the age of the respondents and their mental adaptation to cancer. In a study by Kołpa et al, carried out on a group of 100 oncological patients, no correlation was found between adaptation to cancer and the gender of the respondents.8 The results obtained in a study by Lelonek et al, carried out on a group of 110 surgical ward patients, coincided with the results in this paper and indicated that males were better at adapting to the disease.19 The studies by Muszalik et al, carried out among women with breast cancer undergoing radiotherapy using the FACIT-F scale, showed a relationship between age, education and marital status and the level of functional performance. Women with breast cancer who underwent radiotherapy achieved an average quality of life.20 Other studies by Solvik et al and Montan et al, also using the FACIT-F scale, confirmed the relationship between gender and fatigue. Women showed a higher level of fatigue compared to men.13,21 Also, the scores obtained in the Lawton scale (IADL), as well as the results of the FACIT-F functional assessment, were analyzed. The research showed that patients with better performance in terms of instrumental activities assessed more positively their physical condition and functioning in everyday life, while presenting a lower level of fatigue and a satisfactory general functional performance. No such reports have been found in the current literature. In addition, the examination of the relationship between the occurrence of a radiation reaction and the functional performance of elderly patients showed that people who did not develop skin reactions after radiotherapy enjoyed the greatest performance status. On the other hand, people with erythema assessed their fitness as much worse. Similarly, no data suggestive of such a relationship have been found in the current literature. This research assessed the impact of depression on the functional status of elderly cancer patients. Studies have shown that patients with no signs of depression obtained higher functional performance scores, whereas people with severe depression suffered from the lowest level of functional performance. Similar results were presented in studies by Zboin et al carried out among chronically ill patients living in nursing homes; it was shown that a deteriorated emotional state and symptoms of depression had a negative effect on functional performance.22 The impact of the oncological treatment method on the functional state and mental adaptation to cancer was analyzed. It has been shown that the method of oncological treatment affects the functional well-being (FWB). The use of radiotherapy combined with chemotherapy in the studied population improved their functioning in everyday life more than the use of radiotherapy alone (p = 0.046). Also, the research by Religioni et al among lung cancer patients who received chemotherapy in the last year, found that they obtained higher scores in strategies of positive adaptation to cancer.23 However, Kołpa et al presented different results, stating that the applied oncological treatment did not have any impact on the adaptation strategy.8 Despite extensive research, no unequivocal reports on the impact of the applied oncological treatment on the functional status of elderly patients have been found in the literature. Nevertheless, this research shows that there is a relationship between the functional performance of the elderly and their mental adaptation to neoplastic disease. People presenting a constructive style of adaptation to cancer were characterized by a higher family/social well-being and a better emotional state. Patients characterized by the destructive style suffered from a worse physical and emotional state and did not function as well in everyday life. They also suffered from greater fatigue, while their functional performance was at a lower level. Similar results were obtained in the study by Kulpa et al who examined 100 patients from the Oncology Center in Warsaw. It has been shown that constructive strategies translated into a much better functioning of the patient in all dimensions. Such patients presented better overall health compared to patients who manifested a destructive strategy.7

Conclusions

To sum up, the functional performance of patients according to the FACIT-F scale for all dimensions was found to be on an average level. Depression of moderate intensity was found in more than half of the respondents and it had a significant impact on all spheres of their functioning, except for social/family well-being. The most frequently chosen disease adaptation strategy was positive re-evaluation and fighting spirit. There was a negative correlation between helplessness-hopelessness strategy, destructive style, anxiety, and all domains of functioning. The sex of the respondents had an impact on the assessment’s results in the domains of physical condition, fatigue and general functioning. Men achieved higher scores than women in these domains. There was a relationship between the method of oncological treatment and functional status in everyday life: patients who underwent radiotherapy combined with chemotherapy performed significantly better than those who underwent only radiotherapy.
  12 in total

1.  Patient mental adjustment to selected types of cancer.

Authors:  Urszula Religioni; Aleksandra Czerw; Andrzej Deptała
Journal:  Psychiatr Pol       Date:  2018-02-28       Impact factor: 1.657

2.  The role of patient-reported outcomes in outpatients receiving active anti-cancer treatment: impact on patients' quality of life.

Authors:  Chiara Baratelli; Carmela Giovanna Cleopatra Turco; Gaetano Lacidogna; Elisa Sperti; Francesca Vignani; Donatella Marino; Clizia Zichi; Emmanuele De Luca; Marco Audisio; Daniela Ballaminut; Annalisa Bellezza; Paola Chiotto; Giovanna Ciriolo; Rossella Comite; Fulvia Codegone; Santina Florio; Luisa Fusco; Laura Polimeno; Donatella Pozzi; Eliana Zilio; Sabrina Terzolo; Massimo Di Maio
Journal:  Support Care Cancer       Date:  2019-04-04       Impact factor: 3.603

3.  Assessment of older people: self-maintaining and instrumental activities of daily living.

Authors:  M P Lawton; E M Brody
Journal:  Gerontologist       Date:  1969

4.  Toxicity and response criteria of the Eastern Cooperative Oncology Group.

Authors:  M M Oken; R H Creech; D C Tormey; J Horton; T E Davis; E T McFadden; P P Carbone
Journal:  Am J Clin Oncol       Date:  1982-12       Impact factor: 2.339

5.  The impact of radiotherapy on quality of life for cancer patients: a longitudinal study.

Authors:  Birsen Yucel; Ebru Atasever Akkaş; Yillar Okur; Ayfer Ay Eren; Mehmet Fuat Eren; Hanife Karapinar; Nalan Akgül Babacan; Saadettin Kiliçkap
Journal:  Support Care Cancer       Date:  2014-04-12       Impact factor: 3.603

Review 6.  Recommended patient-reported core set of symptoms to measure in adult cancer treatment trials.

Authors:  Bryce B Reeve; Sandra A Mitchell; Amylou C Dueck; Ethan Basch; David Cella; Carolyn Miller Reilly; Lori M Minasian; Andrea M Denicoff; Ann M O'Mara; Michael J Fisch; Cynthia Chauhan; Neil K Aaronson; Corneel Coens; Deborah Watkins Bruner
Journal:  J Natl Cancer Inst       Date:  2014-07-08       Impact factor: 13.506

Review 7.  Comprehensive Geriatric Assessment in the Older Adult with Cancer: A Review.

Authors:  Catalina Hernandez Torres; Tina Hsu
Journal:  Eur Urol Focus       Date:  2018-01-10

8.  Quality of life of women with breast cancer undergoing radiotherapy using the Functional Assessment of Chronic Illness Therapy-Fatigue questionnaire.

Authors:  Marta Muszalik; Małgorzata Kołucka-Pluta; Kornelia Kędziora-Kornatowska; Joanna Robaczewska
Journal:  Clin Interv Aging       Date:  2016-10-20       Impact factor: 4.458

9.  Pain, fatigue, anxiety and depression in older home-dwelling people with cancer.

Authors:  Elena Solvik; Siri Ytrehus; Inger Utne; Ellen Karine Grov
Journal:  Nurs Open       Date:  2019-11-05
View more
  2 in total

1.  The Significance of Adaptation and Coping with Disease among Patients with Diagnosed Gynaecological Cancer in the Context of Disease Acceptance.

Authors:  Sylwia Wieder-Huszla; Joanna Owsianowska; Anita Chudecka-Głaz; Dorota Branecka-Woźniak; Anna Jurczak
Journal:  Int J Environ Res Public Health       Date:  2022-06-13       Impact factor: 4.614

2.  Self-Esteem as a Predictor of Mental Adjustment in Patients with Breast Cancer.

Authors:  Pei-Ling Tsai; Ting-Ting Kuo; Chih-Hung Ku; Guo-Shiou Liao; Chi-Kang Lin; Hsueh-Hsing Pan
Journal:  Int J Environ Res Public Health       Date:  2021-11-29       Impact factor: 3.390

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.