Abstract
Background and Aims: Cost increases in the healthcare system are leading to a need to distribute financial resources in accordance with the value of each service performed. Health-economic decision-making models can support these decisions. Due to the previous unavailability of health utilities in Germany (scored states of health as a basis for calculating quality-adjusted life-years, QALYs) for women undergoing treatment, international data are often used for such models. However, these may widely deviate from the values for a woman actually living in Germany. It is, therefore, necessary to collect and analyze health utilities in Germany. Materials and Methods: In a questionnaire survey, health utilities were collected, along with data for a healthy control group, for 580 female patients receiving treatment in the fields of mastology and gynecological oncology using a German version of the EuroQol questionnaire (EQ-5D) and a visual analogue scale (VAS). Data were also collected for the patients' medical history, tumor disease, and treatment. Results: Significant differences with regard to quality of life were measured in relation to the individual tumor entities and in comparison to the controls. Apart from the healthy control group, patients with breast or cervical carcinoma had the best quality of life. In patients with recurrent and metastatic disease, those with breast carcinoma experienced the greatest impairment of their quality of life. According to current treatment, the most important impairment of life quality occurred in patients under radiotherapy and after surgical treatment. There are significant differences from the health utilities recorded for other countries – for example, the state of health declines much more markedly in patients with metastatic disease among American women with breast carcinoma than among German women, in whom recurrent disease and a first diagnosis of metastasis were comparable. Overall, the VAS was able to distinguish more adequately than the EQ-5D questionnaire between the different situations and impairments resulting from diagnosis and therapy. Conclusion: Health utilities are now, for the first time, available for further health-economics analyses in the field of gynecological oncology and mastology for women living in Germany. Important differences in these utilities from those of other countries are evident.
- Quality-adjusted life years
- health utilities
- cost-benefit analysis
- health economics
- breast carcinoma
- gynecological malignancies
The costs of healthcare systems are constantly increasing in almost every country in the world. In Germany, healthcare expenditure represents 10.6% of the gross domestic product. In international comparisons, Germany is in the top alongside the USA and Switzerland (1). Healthcare costs increase based on demographic changes, with a falling birth rate, growing unemployment, attitudes of entitlement, and also medical and technological progress, and with the development of new and innovative but more expensive treatments (2). Limited resources therefore have to be used as efficiently as possible. Health economics are extremely important in this context (3). In contrast to Germany, other countries started carrying out cost-effectiveness and cost–benefit analyses much earlier as a basis for healthcare policy decision-making (4). Since 2004, the Institute for Quality and Efficiency in Health Care (Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen, IQWIG), similar to the National Institute for Health and Clinical Excellence (NICE) in the United Kingdom, has been carrying out evaluations of costs and benefits in Germany as an independent scientific Institution.
Particularly in the field of oncology, the question of the benefit of medical intervention can only be seen in the context of complete results, including the clinical results (e.g. time-to-progression, and overall survival) and the patient's subjective well-being (change in quality of life). Evidence-based medicine requires a scientific basis for medical decision-making (4). Beyond the question of identifying and relieving a disease, it has to be shown that the patient also benefits. This is a field for cost–benefit analysis. The focus here is particularly on the effect of specific medical measures on life expectancy and quality of life. Using utility values for different measures that represent effects on quality of life and on life expectancy makes it possible to compare different innovations. Utility values are usually calculated using what is known as the quality-adjusted life years (QALYs) approach.
The QALY, an additional year of life in perfect health gained, is an internationally recognized unit of measurement for representing health-related events (4, 5). The results provide a basis for decision-making in healthcare policy, which in turn leads to maximization of the QALYs gained while taking the necessary costs into account.
There have been numerous International scientific studies on the effects of the treatment measures carried-out in the fields of gynecological oncology and breast cancer on the patient's quality of life. However, most of these have been carried out in the United States or the United Kingdom, and due to a lack of local data, these results had to be used in other countries. However, each woman evaluates the effects of a disease and its treatment differently. It can, therefore, be assumed that the assessment of quality of life relative to one's psychological and physical state after cancer therapy may also differ widely from country to country. The present study investigates health utilities as cardinal values of the individual's preferences for specific health-related outcomes in women treated in Germany in the fields of gynecological oncology and mastology in order to provide local data from Germany.
Materials and Methods
Patient group. From May 2009 to December 2009, 900 questionnaires were distributed to the surgical and conservative oncological wards, as well as in the specialist Outpatient Department for Breast Diseases and the Outpatient Gynecological Oncology Department at the University Breast Center for Franconia and the University Gynecological Cancer Center for Franconia, of the Department of Gynecology at the Erlangen University Hospital. Health utilities were measured by using the EuroQol (EQ-5D) questionnaire and the visual analogue scale (VAS).
Frequencies for types of carcinoma; multiple diseases are possible.
Conversion of EQ-5D data. A health index (HI) was calculated from the patient completed EQ-5D data. Conversion of the EQ-5D data is based on a the comparison with time trade-off (TTO) values, as described by Greiner et al. (6). Briefly, The EQ-5D questionnaire (7) was used for the study in order to obtain insights into the patient's overall situation. Briefly, the EQ-5D questionnaire collects data on five aspects: limitations in mobility, self-care, or everyday life (e.g. in the household or at work), pain, and depression. For each aspect, the responder is able to choose between ‘no problems’, ‘some problems’, and ‘extreme problems’, which are coded with 1, 2 and 3 respectively. The EQ-5D questionnaire thus provides a five-aspect evaluation of the patient's state of health that is reflected in a five-figure number. A combination of ‘11111’ describes a state of perfect health stats and ‘33333’ the worst health state. For each individual health state, a specific HI in the general population is calculated ranging from 1 (best health status) to −0.205 (worst health status). As mentioned, the TTO-derived equation was used for the calculation of these values (6).
VAS. Secondly, the patient's self-assessment of her current state of health was investigated independently of the first part of the questionnaire. This involved a VAS, 20 cm long. The current state of health was assessed on a value range between 0 for the poorest conceivable state of health and 100 for the best conceivable state of health. The evaluation was then converted to a scale between 0 (death) and 1 (the best possible state of health). This provided a subjective, preference-based assessment of the patient's health-related quality of life.
Further data. Additionally, we asked for the completion of questions on the patients' general (social) situation, the type of cancer, and its spread (with metastases or recurrences), as well as the current treatment or treatments completed.
Statistical analysis. The aim of this work was to present the distribution of the VAS and the HI, and to present these values according to patient and tumor characteristics.
Results
Overall group. A total of 655 individuals took part in the survey. The group included 592 affected patients, including three men, and 63 healthy controls. Patients with several types of cancer in their medical history were excluded from the evaluation (n=12) (Table I).
Visual analogue scale (VAS) and health indices (HI) for different tumor entities and current status of disease.
The median age for the controls was 48.53 (range=17.04-92.19) years. In the group of those with disease, the median age was 59.07 (range=20.12-83.33) years. The two groups were comparable with regard to marital status, educational status, household size, number of children, and location of residence (city vs. country).
Out of the 580 included participants who responded to the questionnaire, most (n=265) were attending the hospital for a follow-up appointment at the time of the survey. The next largest group consisted of those attending for chemotherapy (n=118). Seventy were in the hospital for surgery. Fifty-two patients were receiving bisphosphonate infusions, and 32 participants were receiving antibody therapy. The smallest group of participants (n=20) consisted of those attending for diagnosis, radiotherapy, or other reasons. Twenty-three patients gave no details.
A total of 395 out of the 580 patients were in the primary setting; 182 participants had advanced carcinoma with recurrence or metastases (three unknown).
The HI was also calculated for 585 participants (Table II). A total of 578 individuals provided information about their current status on the VAS.
Patients with breast carcinoma gave the highest estimation of their current life situation (VASMaCa=71.50), followed by those with ovarian cancer (VASOvCa=69.00). In contrast, the highest values for HI were recorded for patients with cervical carcinoma (HICxCa=0.9990; Table II).
Breast carcinoma. A total of 429 patients with breast carcinoma provided information about their current state of health on the VAS.
Patients with breast cancer in the primary situation had the highest values (VASPrimary diagnosis=75.00). If the disease was already advanced, the quality of life declined (VASRecurrence=71.50; VASMetastases=70.00; VASBoth=69.00). This difference was not evident from HI, which had a consistant value of 0.8870.
Ovarian carcinoma. For thirty-two patients with ovarian carcinoma their current state of health on the VAS was assessed. No differences in the evaluation of quality of life were seen in the primary situation or in already advanced carcinoma. Nor did the HIs differ.
Endometrial carcinoma. Details of their current state of health were given by 22 (VAS) and 19 (HI) patients with endometrial carcinoma. Comparison of quality of life in relation to current status of the disease and current treatment showed that women with endometrial carcinoma in the primary situation felt impairment of their current state of health (VASPrimary Disease=60.00). However, if metastases or recurrence had already been diagnosed, the quality of life was slightly higher in VAS compared to the primary situation (VASAdvanced disease=65.00). This was not reflected in the HI (HIAdvanced Disease=0.8870).
Cervical carcinoma. With regard to the disease situation, patients with a primary diagnosis had the least impairment (VASPrimary diagnosis=60.00; HIPrimary diagnosis=1.0000). By contrast, the quality of life was severely reduced in those with advanced-stage disease (VASAdvanced=39.00). The HI also showed a difference here (HIAdvanced=0.7880).
Visual analogue scale (VAS) and health indices (HI) relative to current treatment.
Both in the primary situation and in the advanced stage, the treatment represented a considerable impairment of quality of life.
Current therapy. There were great differences in the ways in which the patients (n=504) assessed their quality of life in relation to the current treatment. Those receiving radiotherapy regarded themselves as having the greatest impairment (VASRadiotherapy=55.50). Those who were receiving antibody therapy or bisphosphonate infusion estimated their quality of life as highest in comparison (VASAntibody=VASBisphosphonate=79.75). HI were also estimated in 510 participants. The highest median value was reached by those who were currently receiving antibody therapy (HIAntibody=0.9990) (Table III).
With regard to the individual tumor entities, most patients with disease experienced moderate to no impairment with regard to mobility, self-care, activity, pain, and anxiety.
Discussion
Health-economic evaluations have been growing in importance in recent years in healthcare systems throughout the world (3, 8, 9). The aim is to allow decisions to be made on the basis of an analysis and evaluation of requirements in the healthcare system, leading to the best possible results in terms of health-related quality of life. Since health utilities (scored states of health as a basis for calculating QALYs) have not so far been available for women with breast cancer or gynecological malignancies treated in Germany or other mainland European countries, data from English-speaking countries are usually used for decision-making models in oncology. However, since it is likely that different views regarding health and well-being prevail in different countries, it is necessary to have country-specific health utilities, based on data from women treated in Germany, in order to generate cost–benefit analyses. A comparative study on the evaluation of the state of health in the general population in six countries in Europe, using the EQ-5D questionnaire, concluded that the questionnaire is a suitable tool for collecting data to report states of health (10, 11). Particularly in relation to oncological diseases, research studies assume that individual evaluations, and thus the health utilities for the same state of health, may well differ considerably from country to country and between different cultures (11-14). In the present study, health utilities in patients in the fields of gynecological oncology and mastology, as well as in a healthy control group, were calculated using the German version of the EQ-5D questionnaire and with a VAS (6, 9, 11).
Particularly because it is a measurement tool that can be applied to any disease, the EQ-5D allows for comparison between different diseases, and this is extremely important for assessing the multi-dimensional benefit provided (3, 4, 6). However, this study shows that both participants with disease and healthy participants experienced few problems with regard to mobility, self-care, activity, pain/discomfort, or anxiety/depression. The proportion of patients with disease in the present group is well above the average proportion of patients with cancer in the general population. In relation to the subjective perception of symptoms, patients with carcinoma are, thus, receiving good treatment (15-17). At the same time, this of course raises the question of whether the EQ-5D is appropriate for the selected aspects used to evaluate states of health in patients with a gynecological carcinoma or breast carcinoma, or whether it is too non-specific for these diseases. Several studies have shown that assessments of quality of life differ markedly between respondents suffering from carcinoma and those without cancer (18, 19). In agreement with the findings of a report by Reeve et al. (20), patients with gynecological carcinomas are less affected by physical burdens due to their cancer and associated impairments of everyday life than patients with other cancer types. This may explain the slightly better results in comparison to other patients with cancer.
A diagnosis of cancer is a life-changing event associated with numerous effects on the patient and her social environment (21-23). VAS values fall by an average of 10.6 points after the diagnosis of a chronic disease (24). In the present study, the control group had higher median values than the patient group in both the VAS and also in the HI. The subjective current state of health in those with disease differed by a median of 20.00 for VAS and 0.1125 for HI from the data for healthy individuals. In addition, there were differences between the individual tumor entities both with regard to the patients' subjective assessment of their quality of life and also in the HI. After the healthy participants, patients with breast carcinoma had the highest median VAS values, followed by women with ovarian cancer. By contrast, however, lower HIs were seen for the patients with breast carcinoma.
Overall, the present study showed very high assessments of quality of life. Similar findings have also been reported in patients with carcinoma in other studies on quality of life (25). This may be due to the fact that many participants were already receiving follow-up care. Numerous studies have shown that quality of life in those with disease can indeed return to levels of healthy individuals (26, 27). Chan et al. noted that patients' status improves as early as six months after treatment for a gynecological carcinoma and is comparable with the state before treatment (26). Freedman et al. showed that psychological symptoms, in particular, greatly declined within 15 years after a first diagnosis of breast carcinoma, leading to a better evaluation of the state of health (25). An improvement in health for someone with disease thus leads to higher quality of life values than those seen in the constant state experienced by a healthy individual (6). In addition, high values may be due to the fact that some cancer patients tend to deny their history of cancer during the subsequent course (23, 25, 27).
Oncological diseases affect the quality of life not only during, but also after treatment. Treatment is always associated with numerous physical and psychological side-effects, the extent of which may vary depending on the type of therapy administered (28). In the present study, the greatest impairments of quality of life were particularly observed in patients who were currently undergoing surgical therapy. A severely-negative effect of current surgery was clearly noted in patients with primary disease (VASSurgery&Primary situation=67.00). This is attributable to severe psychological and also physical impairment for these patients. By contrast, Chan et al. observed the highest quality of life in patients presenting for surgical treatment (26). The lowest values were seen in various studies in patients receiving chemotherapy (breast cancer: HIChemotherapy=0.50; HIRadiotherapy=0.83) (26, 29). This was explained by severe impairment due to symptoms such as hair loss and neuropathy (26). In addition, chemotherapy often follows surgery, possibly creating a cumulative burden.
Marked impairment was also evident in patients who were attending the hospital for diagnostic procedures and who had received information about recurrence or metastasis shortly before completing the questionnaire, or who were waiting for the results of examinations regarding further disease spread. Severe psychological burdens are present in such cases. The highest quality of life was reported by those who were receiving antibody therapy or bisphosphonate infusions at the time of the study – explicable by the low physical burden these treatment measures involve. This was not clearly evident in the HIs, but it can be seen that the HI declines above all due to the impaired mobility associated with surgical therapy.
Disease can be associated with numerous life changes, which can also have effects on psychological function (21, 23, 26, 27, 30-32). It is, therefore, important to take the effects of psychological assistance into account, in addition to medical and technological considerations. Depression is a frequent type of comorbidity in patients with cancer. Problems associated with the aspect of anxiety/depression are greater among those affected. According to a study in the Czech Republic, approximately 61% of patients with metastatic breast cancer suffer from depression (33). The authors noted that the patients' quality of life was thereby markedly reduced (VAS=59.2). In the group included in the present survey, patients with metastatic breast cancer also had a lower score, at 70.00, than healthy individuals. Psychosocial and social symptoms can reduce the evaluation of the state of health (20, 27). As there is known to be a high incidence of psychological problems due to oncological diseases, there is a clear need for attention to be given to the psychological condition of patients with cancer (and to include this in cost–benefit analyses) (23, 26, 33). Psychological impairment due to diagnosis and treatment and the associated side-effects are often greater than limitations of physical function (34). Regarding the influence of psychological counseling, self-help groups and similar services on the patients' assessment of their state of health, the results of the sub-analysis of this study are surprising. The uptake of additional services such as psychological counseling, participation in self-help groups, or the offer of relaxation therapy to support oncological treatment was relatively low in the present group. Most affected patients never used any such services at any time, but achieved better state of health on the VAS and in the HIs in comparison with those who did make use these options (e.g. psychological counseling: VASNever=75.25, HINever=0.9990; VASRegular=64.75, HIRegular=0.8870). Even lower evaluations were measured for participants who did not have access to psychological counseling (VASNot offered=51.00). Assistance in one's personal surroundings and support from one's family and partner are important aspects in coping with disease. It is, therefore, conceivable that a lack of assistance and an additional failure to offer psycho-oncological support might lead to considerable deterioration in the affected patients' situation (31).
Clear effects and significant differences in the influence of socio-cultural factors on quality of life were evident in the present study both with regard to the values obtained for the VAS and also in the HIs. The main sources for comparison with other healthcare systems are from the USA. For patients with breast cancer in all tumor stages, Schleinitz et al. observed the greatest impairment of quality of life in association with chemotherapy, followed by hormone therapy and radiotherapy (29). In the present group in Germany, by contrast, radiotherapy was associated with the poorest quality of life on the VAS (VASRadiotherapy=55.50, HIRadiotherapy=0.8870).
One limitation of the present study is that the patient group mainly consisted of patients with breast carcinoma, so that the effects of this disease on the results may be predominant. With regard to the other tumor entities, the validity of the results for quality of life may be limited due to the smaller numbers of cases.
The results of the present study represent a major contribution to the establishment of health utilities for patients in gynecological oncology and mastology in Germany. As the results differ from those of other countries in International comparisons, it must be noted that resource allocation decisions should not generally be based on International data, as there are substantial differences between countries in the affected groups. German health utilities are thus now available for the first time for future cost–benefit value models. Detailed data of all treatments for the different carcinoma entities not shown here can be requested from the authors for further cost-benefit analyses in the German healthcare system.
Footnotes
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↵* These Authors contributed equally to the study.
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Conflicts of Interest
We declare that we have no conflict of interests.
- Received December 8, 2013.
- Revision received December 22, 2013.
- Accepted December 24, 2013.
- Copyright© 2014 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved