Advertisement
Journal of Clinical Oncology  
Search for:
Limit by:
  Browse by Subject or Issue
Home Search or Browse JCO My JCO Subscriptions Customer Service Site Map

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Save to my personal folders
Right arrow Download to citation manager
Right arrowRights & Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Waldron, D.
Right arrow Articles by Carney, D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Waldron, D.
Right arrow Articles by Carney, D.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?
Journal of Clinical Oncology, Vol 17, Issue 11 (November), 1999: 3603-3611
© 1999 American Society for Clinical Oncology

Quality-of-Life Measurement in Advanced Cancer: Assessing the Individual

Dympna Waldron, Ciaran A. O'Boyle, Michael Kearney, Michael Moriarty, Desmond Carney

From the Department of Psychology, Royal College of Surgeons in Ireland, Our Lady's Hospice, Harold's Cross, and St Luke's Hospital, Rathgar, Dublin, Ireland.

Address reprint requests to Dympna Waldron, MD, Medical Research Fellow and Clinical Specialist in Palliative Medicine, Department of Psychology, Royal College of Surgeons in Ireland, Mercer Building, Mercer St Lower, Dublin 2, Ireland; email dwaldron{at}rcsi.ie


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: Despite the increasing importance of assessing quality of life (QoL) in patients with advanced cancer, relatively little is known about individual patient's perceptions of the issues contributing to their QoL. The Schedule for the Evaluation of Individual Quality of Life (SEIQoL) and the shorter SEIQoL–Direct Weighting (SEIQoL-DW) assess individualized QoL using a semistructured interview technique. Here we report findings from the first administration of the SEIQoL and SEIQoL-DW to patients with advanced incurable cancer.

PATIENTS AND METHODS: QoL was assessed on a single occasion using the SEIQoL and SEIQoL-DW in 80 patients with advanced incurable cancer.

RESULTS: All patients were able to complete the SEIQoL-DW, and 78% completed the SEIQoL. Of a possible score of 100, the median QoL global score was as follows: SEIQoL, 61 (range, 24 to 94); SEIQoL-DW, 60.5 (range, 6 to 95). Psychometric data for SEIQoL indicated very high levels of internal consistency (median r = .90) and internal validity (median R2 = 0.88). Patients' judgments of their QoL were unique to the individual. Family concerns were almost universally rated as more important than health, the difference being significant when measured using the SEIQoL-DW (P = .002).

CONCLUSION: Patients with advanced incurable cancer were very good judges of their QoL, and many patients rated their QoL as good. Judgments were highly individual, with very high levels of consistency and validity. The primacy given to health in many QoL questionnaires may be questioned in this population. The implications of these findings are discussed with regard to clinical assessment and advance directives.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
DESPITE SIGNIFICANT advances in medicine and oncology, most physicians still deal with patients suffering from relentless, incurable illnesses, and decisions are often made about the treatment of terminally ill patients based on judgments about their quality of life (QoL).1-4 QoL is now recognized as an end point of secondary importance only to survival.5 However, relatively little empirical research has been conducted on patients' judgments about what they value in relation to their QoL.6,7 There are both logistical and philosophical difficulties in undertaking such research. One problem is that QoL, which is inherently multidimensional and subjective in nature, does not readily fit into the predominant biomedical model of assessment. In this respect, QoL is similar to suffering, which has been described by Cassel8 as something "experienced by persons, not merely by bodies." Human experience is complex, and knowledge exists at different levels. Kearney9 proposed that the experiences of terminally ill patients should be understood as consisting of a dynamic interweaving of two levels: the surface level, where language is literal, and the deep level, where the mode of knowing is intuitive. Failure by health professionals to understand deeply the complex nature of individual QoL could result in treatment regimens that not only fail to improve QoL but actually contribute to its deterioration.

Early attempts to measure QoL in patients with advanced incurable cancer relied heavily on proxy ratings,10,11 the underlying assumption being that those patients would not be able to make such assessments themselves.12 Modern approaches to patient treatment increasingly recognize the importance of subjective patient ratings13-16 and the need to incorporate the views of patients in treatment planning.17 However, there are still fundamental problems with the QoL measures currently used in medicine and oncology.18-22 The dynamic and individual nature of QoL is difficult to capture when using (nomothetic) questionnaires based on grouped data, in which the questions asked, the response format provided, and the relative weights applied to the answers have all been predetermined. Although such measures, which are generally referred to as health-related QoL measures,23 provide important information regarding health status, their promulgation as measures of QoL is more questionable. Calman24 defined QoL in cancer patients as the difference, or the gap, that exists at a particular point in time between the hopes and expectations of the individual and that individual's present experiences. The individual's own view of his or her present reality, hopes, and expectations can only be described by the individual.25,26 Poulson27 urged the medical profession to be "more sensitive in their interactions with patients and to communicate better." Cassel8 emphasized asking the patient for information. Tannock28 highlighted the importance of treating the patient and not just the cancer.

Although subjective QoL measures are increasingly replacing objective measures, the content of such measures is still largely predetermined by the investigator. We have previously proposed that a valid QoL measure for patients facing imminent death should permit assessment of QoL from the unique perspective of the individual without imposing a predetermined external value system.6,29

The Schedule for the Evaluation of Individual Quality of Life (SEIQoL) was developed based on the premise that QoL is individual in nature and that a person judges QoL on the basis of how they are doing in a number of salient life areas.25 The definition underpinning the SEIQoL is that a person's QoL is what he or she determines it to be.25,26 The measure was designed to answer three questions: (1) What areas of life (cues) are important to the respondent? (2) How are they currently doing in each of these areas (levels)? and (3) What is the relative importance of each of these areas (weights)?30 Given the complexity of the full SEIQoL, a simpler direct-weighting procedure called the SEIQoL–Direct Weighting (SEIQoL-DW) was developed for use in populations in whom the full SEIQoL might prove impractical.31,32 Because decisions about patients with advanced incurable cancer are often based on judgments about QoL,17,33 this study was designed to determine whether the SEIQoL and SEIQoL-DW are valid, reliable, and acceptable measures of QoL in this patient population.


    PATIENTS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Participants
The sample consisted of 80 consecutive patients with advanced incurable cancer. Forty patients were recruited from a weekly outpatient program held at the Irish National Radiotherapy Centre at St Luke's Hospital in Dublin, and 40 were recruited as inpatients, interviewed between 3 and 7 days after admission to Our Lady's Hospice in Dublin. Only patients who were aware of the terminal nature of their disease and who gave informed consent were included. Patients were excluded if they did not wish to participate or if they were considered by the attending physician in the hospice or hospital to be confused or to be too weak to participate because of imminent death.

QoL Assessment
QoL was assessed using the SEIQoL and SEIQoL-DW, administered at one sitting by the same researcher (D.W.). These measures are described in detail elsewhere.30-32,34-36 Briefly, the SEIQoL and the SEIQoL-DW both consist of a three-stage semistructured interview. The first and second stages are common to both methodologies.

The first stage, cue elicitation, involves determining the five areas of life (cues) considered by the respondent to be central to his or her QoL. These cues are spontaneously generated by the patient. However, if a patient has difficulty generating cues, a short list of examples may be read to him or her.

The second stage requires the respondent to rate his or her current status/level of functioning on each cue against a vertical visual analog scale labeled at the upper and lower extremities by the terms "as good as could possibly be" and "as bad as could possibly be," respectively.

In the third stage, the relative importance of each cue is determined by using judgment analysis (SEIQoL) or the disk method (SEIQoL-DW). In judgment analysis, the respondent is shown a series of 30 profiles or vignettes and asked to rate, on a visual analog scale, the overall QoL they would imagine they would experience if the profile was their own. Each profile consists of five bars of varying height, similar to the level of functioning bars and labeled with the respondent's own cues. Unknown to the respondent, 10 of the vignettes are repeated to allow estimation of internal reliability of judgments. Multiple regression is used to calculate the judgment policy, which consists of the relative weight the respondent gives to each cue in judging their overall QoL.30

In the SEIQoL-DW, weights are measured by means of a set of disks. This consists of a series of five stacked, centrally mounted, colored interlocking laminated discs with a circular background 100-point scale. The disks can be rotated over each other so that the result is a pie chart consisting of five colored segments. Each segment is labeled using the individual's own cues, and the respondent adjusts the disk until the size of each colored segment corresponds to the weight they attribute to each cue, respectively. The greater the size given to a segment (cue), the greater the relative importance. The disk can be adjusted and readjusted until the individual is satisfied that the result accurately reflects their perception of the relative importance of each cue. In all cases, the SEIQoL-DW was administered first, and then, if the patient was willing and able to proceed, the full SEIQoL was completed.

Outcome Measures and Statistical Methods
The SEIQoL and SEIQoL-DW generate a number of outcome measures: (1) cues: the five areas of life nominated by the respondent as being most important to their overall QoL; (2) levels: the respondent's current status/level of functioning on each of the cues rated on a vertical 100-mm visual analog scale; (3) weights: derived by judgment analysis in the case of the SEIQoL and by means of the disk in the case of the SEIQoL-DW, as previously described; (4) internal validity (R2): the amount of variance in overall QoL judgments explained by the particular combination (policy) of cues generated (R2 >= 0.7 is considered acceptable in the context of psychosocial measurement37); (5) internal reliability: the ratings given to the 10 repeated vignettes are correlated (Pearson's r) to provide a measure of internal consistency; (6) global QoL score: calculated by multiplying each cue level by the corresponding cue weight and summing the products across the five cues ({Sigma}(levels x weights)); the score can range from 0 to 100, with higher scores representing better QoL.

Relationship Between SEIQoL and SEIQoL-DW
The concordance between SEIQoL and SEIQoL-DW was assessed using a technique known as "limits of agreement," which is a statistical method for assessing the agreement between two methods of measurement.38 Global scores generated by the two methods were first examined by plotting the results of one against the other to determine whether any pattern existed in the relationship between the two variables. If no pattern existed, the differences in the two scores were plotted against the average of the two scores. The level of agreement was then assessed by calculating the bias, estimated by the mean difference ({sigma}) and the SD of the difference (S). If one arbitrarily accepts that differences within {sigma} ± 2S are not clinically important and the actual differences between the scores fall within these limits, then it can be assumed that the two methods are interchangeable in terms of their clinical application. Pearson's r correlation coefficient was also calculated between global QoL scores generated by both methods.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Study Group
Eighty patients were assessed, 40 as hospital outpatients and 40 in the inpatient hospice setting. Patient characteristics are listed in Table 1. In the outpatient population, 14 patients were excluded from the study for the following reasons: (1) they were not aware that their disease treatment was palliative (n = 10); (2) severity of symptoms (n = 1); and (3) refusal to partake in the study because of time constraints to get public transport (n = 3). In the hospice population, 107 patients were excluded from the study because their general state was approaching unconsciousness (n = 88) or because they were confused (n = 19). Of the 88 patients considered to be approaching unconsciousness, 44 (53%) died within 1 week, 64 (77%) within 2 weeks, and 72 (87%) within 3 weeks of admission. In the hospice group, 22 patients (55%) were admitted for terminal care, 13 (33%) for symptom control, and five (13%) for respite. Of the 40 patients interviewed in the hospice, 25 (68%) died within 4 weeks, and 33 (83%) died within 8 weeks of assessment (Table 1). The broad range of tumor types is shown in Table 1. All 80 patients included in the study had extensive advanced local (n = 26; 33%) or metastatic (n = 54; 68%) disease. This was also reflected in the degree of intervention before assessment, with 57 (66%) of the 80 patients having received two or more interventions in the form of surgery and/or radiotherapy and/or chemotherapy (Table 1).


View this table:
[in this window]
[in a new window]
 
Table 1. Patient Characteristics
 

Psychometric Properties of SEIQoL and SEIQoL-DW
Acceptability of measures. All 80 patients completed the SEIQoL-DW, and 62 (77.5%) completed the SEIQoL (Table 1). The median time taken to complete the SEIQoL-DW was 15 minutes (mean, 16.1 minutes; SD, 5.91 minutes; range, 7 to 40 minutes). Eighteen patients (22%) were unable to complete the SEIQoL because of fatigue. The median time to complete SEIQoL was 40 minutes (mean, 39.5 minutes; SD, 13.3 minutes; range, 24 to 94 minutes). All but two patients nominated their cues spontaneously. Two patients required prompting from the predetermined list of cues after three cues had been elicited spontaneously.

Global QoL scores. Scores on the two measures were normally distributed based on normal probability plots (SEIQoL, Pearson's r = .995; SEIQoL-DW, r = .992). Of a possible score of 100, the median SEIQoL global QoL score was 61 (mean, 60.4; SD, 17.5; range, 24 to 94), and the median SEIQoL-DW global QoL score was 60.5 (mean, 59; SD, 17.8; range, 6 to 95). Figure 1, with side-by-side box plots comparing median values, shows the variation in QoL scores (SEIQoL and SEIQoL-DW) throughout the patient group. The Pearson correlation between global QoL scores for SEIQoL and SEIQoL-DW was very high (r = .923).



View larger version (10K):
[in this window]
[in a new window]
 
Fig 1. Global QoL scores ({Sigma}(levels x weights)) derived from the SEIQoL and the SEIQoL-DW. Box plots with 95% confidence intervals are shown comparing median values.

 

Internal validity and reliability. The median internal validity (R2) score for the 62 patients who completed the SEIQoL was 0.88 (mean, 0.86; SD, 0.076; range, 0.65 to 0.98), and the median internal reliability (r) score was .90 (mean, .87; SD, .10; range, .6 to .95). To date, these are the highest internal validity and reliability results from any application of the SEIQoL (Table 2).


View this table:
[in this window]
[in a new window]
 
Table 2. Results of Reliability and Internal Validity in the Current Study Compared With Other Published Studies
 

Individual Patient Profiles
Two randomly selected patient profiles are presented for illustrative purposes Fig 2). SEIQoL-derived data are presented in (Fig 2A for a female patient aged 50 years with advanced metastatic breast cancer who died within 4 weeks of this assessment. The patient nominated family, finance, health, religion, and company as being the most important areas of life in relation to her QoL. Levels of functioning (on a scale of 0 to 100) indicated that the patient felt she was doing well in relation to health and religion and reasonably well in relation to company, but less well in relation to family and finance. Relative weights (on a scale of 0 to 100; five weights constrained to sum to 100) derived from judgment analysis indicated that family and finance were the most important cues, followed by company, health, and religion. Of a possible score of 100, her global QoL score ({Sigma}(levels x weights)) was 53.0. The high internal validity score (R2 = 0.95) indicated that this combination of cues and weights explained a very high proportion of the variance in her overall judgments of QoL and that, consequently, a very high level of confidence could be placed in the outcome. The high internal reliability score (r = .95), which is based on the 10 repeated cases, indicated a very high degree of consistency in her judgments.




View larger version (38K):
[in this window]
[in a new window]
 
Fig 2. (A) Patient no. 1, weeks from death. Health level (on a scale of 0 to 100), 95; relative weight, 12%. Family level, 47; relative weight, 43%. Of a possible score of 100, the SEIQoL global QoL score ({Sigma}(levels x weights)) was 53.0. Internal validity (R2) was 0.95; internal reliability (r) was .95. (B) Patient no. 2 rates family, marriage, and friends level (on a scale of 0 to 100) as good and remission and life satisfaction as poor. Relative weights (on a scale of 0 to 100) reflect marriage and remission as the most important cues. SEIQoL global QoL score ({Sigma}(levels x weights)) was 70. Internal validity (R2) was 0.82; internal reliability (r) was .85.

 

SEIQoL-derived data are presented in Fig 2B for a female patient aged 48 years with advanced breast cancer with metastatic abdominal disease in whom third-line chemotherapy was withheld because of severity of symptoms from inoperable intestinal obstruction. The patient nominated remission, life satisfaction, family, marriage, and friends as being the most important areas of life in relation to her QoL. Levels of functioning (on a scale of 0 to 100) indicated that the patient felt she was doing well in relation to family, marriage, and friends and poorly in relation to remission and life satisfaction. Relative weights (on a scale of 0 to 100; five weights constrained to sum to 100) derived from judgment analysis indicated that her marriage and remission were the most important cues, followed by family, friends, and life satisfaction. Of a possible score of 100, her global QoL score ({Sigma}(levels x weights)) was 70. The high internal validity score (R2 = 0.82) indicated a very high level of confidence could be placed in the outcome. The high internal reliability score (r = .85) indicated a very high degree of consistency in her judgments.

The patient whose profile is shown in Fig 2A, who was within weeks of death and aware of her likely prognosis, rated her level of functioning of health at 95% and its relative importance compared with other cues at 12%. Family functioning was rated at a level of 47%, and its relative importance was 43%. The patient with similar disease status in Fig 2B nominated the probability of remission as 20%, and its relative importance at 30%. For this patient, remission meant clearance of her symptoms of bowel obstruction. Her subacute bowel obstruction settled with conservative management, and her chemotherapy treatment was recommenced.

Concordance of SEIQoL and SEIQoL-DW
A plot of the difference between global QoL scores derived from the two methods against their mean difference is shown in Fig 3. The limits of agreement were calculated according to the method of Bland and Altman38 as the mean difference plus two SDs for SEIQoL and SEIQoL-DW readings: 1.5 + 2(6.7) = 14.9. Figure 3 graphically displays this limit of agreement. After removing two outliers, visible in Fig 3, the recalculation of limits of agreement was 1.46 + 2(5.2) = 11.86.



View larger version (11K):
[in this window]
[in a new window]
 
Fig 3. Limits of agreement: concordance between global QoL scores derived from SEIQoL and the SEIQoL-DW. The difference between the two scores (y-axis) is plotted against the average of the two scores (x-axis).

 

Unique Individual Cue Generation
Table 3 lists the 10 cues most frequently nominated by patients in this study, and Table 4 lists cues that were nominated only once and thus unique to patients. As previously discussed, all patients but two elicited their own cues without prompting from a predetermined list.


View this table:
[in this window]
[in a new window]
 
Table 3. The 10 Most Commonly Nominated Cues During the First Stage of the SEIQoL and SEIQoL-DW Methodology
 

View this table:
[in this window]
[in a new window]
 
Table 4. Cues Nominated Once Only During the First Stage of the SEIQoL and SEIQoL-DW Methodology
 

Individual Weighting of Cues
The two most frequently nominated cues were health and family. Seventy-four patients (93%) nominated family, and 56 (70%) nominated health as being important to their QoL. From the completed SEIQoL-DW data, 52 patients nominated both cues. From the completed SEIQoL data, 40 patients nominated both cues. The current status/level of functioning for these two cues was compared (Fig 4). Current status/level of functioning of cues is elucidated at stage two, which is common to both SEIQoL and SEIQoL-DW methodology (n = 52). The family cue was given a current status/level of functioning significantly higher than that of health (n = 52; family level: median, 100; mean, 83; health level: median, 44; mean, 43; P <= .0001). The relative weights for these two cues were compared as generated by both QoL measures (Fig 4). SEIQoL extrapolates weights using the judgment analysis process (wtJA) and SEIQoL-DW extrapolates weights using the disk method (wtDW). Using wtJA, the family cue was weighted higher than the health cue, and this difference was not significant (n = 40; family wtJA: median, 30; mean, 29; health wtJA: median, 28; mean, 25.5; P = .129). Using wtDW, the family cue was weighted significantly higher than that of health (n = 52; family wtDW: median, 29; mean, 30; health wtDW: median, 22; mean, 22; P = .002).



View larger version (13K):
[in this window]
[in a new window]
 
Fig 4. Cues: family (n = 74); health (n = 56). Box plots (95% confidence intervals comparing median values) display level of functioning and relative weighting given to these cues. SEIQoL-DW: family, n = 74; health, n = 56. SEIQoL: family, n = 58; health, n = 43. Abbreviations: 'F', family cue; 'H', health cue; level, level of functioning of cue; wt, relative weighting; DW, direct weighting; JA, judgment analysis.

 


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
In this study, two related measures of individual QoL, the SEIQoL and SEIQoL-DW, were used in patients with advanced incurable cancer. The measures were generally acceptable, with all patients being capable of completing the SEIQoL-DW, and 78% of patients being capable of completing the full SEIQoL. One of the apparent limitations of the study was the high number of exclusions in the hospice group. However, this was unavoidable because most of those excluded were judged by the attending physician to be too weak even to carry on a conversation or were semicomatose or comatose and, consequently, were not considered fit to complete any interactive study.

The psychometric data indicated that patients were very good judges of their own QoL and that such judgments were consistent. The reliability and validity coefficients were the highest yet found for any application of the SEIQoL. The experience of a serious illness such as cancer and the appreciation of one's impending death seems to heighten awareness about one's QoL and the factors that contribute to it.

The individual nature of QoL was reflected in differences in cues elicited, differences in levels of functioning, and differences in the relative importance of each cue to individuals. The high validity scores found for the full SEIQoL indicate that the particular cues chosen were those actually used by patients in judging their overall QoL. Despite increasing sophistication,18-22,39,40 most measures purporting to assess QoL impose external value systems on respondents and usually place the highest priority on health. Health-related QoL measures seek information on functioning in a range of predetermined areas,23 and, in recent questionnaires, the "meaning of life"39,40 is also explored. Health or ill health is essentially the fulcrum around which these measures are developed, and the questions asked depend on the type of disease. In this study, the primacy given to health in many QoL questionnaires was not supported (Fig 4). Deteriorating health does not necessarily result in health becoming the most important factor for these patients.

The SEIQoL has good psychometric properties, but it does take a considerable amount of time and effort to complete. In this study, the shorter SEIQoL-DW was found to be a very acceptable measure. It was quick to administer, and all patients were able to complete it. Using the limits of agreement calculation, the differences between global scores generated by the two methods fell within a range of 14.9 (removing outliers, 11.86). Previous experience with the SEIQoL34 and other QoL tools41 indicates that these differences are large in clinical terms and that the procedures are not interchangeable. These findings, and those from a previous study in which healthy subjects were able to identify their SEIQoL-DW judgment policies better than their SEIQoL policies after an interval of 1 week,32 may reflect a fundamental difference between explicit or conscious thought processes and implicit or unconscious thought processes in judging QoL. Conscious thought is directly reportable, and there is evidence that it is a better predictor of behavior when decisions are being made about a person's short-term future.42 Judgment analysis as used in the full SEIQoL may measure unconscious information processing of which the respondent may be unaware, whereas the SEIQoL-DW may deal with explicit information processing. This might explain the differences between the two methods described here. These findings may provide support for the suggestion that life experiences in patients receiving palliative treatment are made up of a dynamic interweaving of two levels: the literal and the intuitive.9 If the relative importance of these cognitive modes were shown to change over time, particularly in the face of impending death, this would have significant implications both for QoL measurement and the predictive validity of advance directives.

Physicians seem to be more decisive in making end-of-life decisions than are patients,43 despite the principle that treatment decisions should be based on the values, goals, and preferences of patients.44 These are likely to vary from person to person and to differ from the judgments of physicians. Based on a biomedical model of disease, it is often assumed that QoL invariably deteriorates as death approaches. However, some of the patients in the present study, despite being terminally ill and aware of the nature of their disease, reported good QoL. Little is known about the psychological adaptation and/or response shift45,46 that may occur in patients facing inevitable death. Psychological adaptation may shift the focus of QoL judgments from physical deterioration to social, psychological, and spiritual domains. This adaptation has been described clinically when some patients very near death progress from an agitated state to a calm and accepting state without needing pharmacologic intervention.47

Improving patient QoL is an important goal in health care48,49 and cancer clinical trials50,51 and is the cornerstone for delivery of good palliative medicine.33,52 The increasing recognition of patient autonomy53,54 means that subjective measures will become more important and, in the current climate of evidence-based medicine,55 such measures must be valid and reliable. Nomothetic measures such as health-related QoL questionnaires are important outcomes in cancer care, but in QoL assessment, they should be supplemented with idiographic measures such as the SEIQoL and/or SEIQoL-DW. For practical purposes, the SEIQoL-DW seems more appropriate for routine clinical situations in view of its acceptability, moderate application time, and apparent exploration of explicit (conscious) thought. The SEIQoL seems suitable for more in-depth exploration of QoL.

Patients, especially those facing inevitable death, should be asked what they themselves prioritize in their lives. Individual QoL measures may help patients formulate their thoughts for the purposes of making advance directives, agreeing with their care givers on treatment options, and validating proxy judgments, currently much in vogue in relation to end-of-life decisions. Finally, individual measures such as the SEIQoL and the SEIQoL-DW may have a therapeutic application in helping patients make sense of and achieve meaning from the ending of their lives.


    ACKNOWLEDGMENTS
 
Supported by a grant from The Irish Hospice Foundation, Dublin, Ireland.

We thank The Irish Hospice Foundation for funding this study, and Dr Ronan Conroy (Department of Epidemiology and Preventive Medicine, Royal College of Surgeons in Ireland) for assistance with the statistical analysis. We also thank the staff of the St Gabriels and St Catherines Wards (Our Lady's Hospice, Harold's Cross, Dublin) and the staff of the Radiotherapy and Oncology Outpatients (St Lukes Hospital, Dublin) for their absolute cooperation with this study.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 PATIENTS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
1. Coates A, Gebski V, Stat M, et al: Improving the quality of life during chemotherapy for advanced breast cancer: A comparison of intermittent and continuous treatment strategies. N Engl J Med314:1490-1495, 1987[Medline]

2. Tannock IF, Osoba D, Stockler MR, et al: Chemotherapy with mitoxantrone plus prednisolone or prednisolone alone for symptomatic hormone-resistant prostate cancer: A Canadian randomized trial with palliative end points. J Clin Oncol14:1756-1764, 1996[Abstract/Free Full Text]

3. Cunningham D, Pyrhonen S, James RD, et al: Randomised trial of irinotecan plus supportive care versus supportive care alone after flurouracil failure for patients with metastatic colorectal cancer. Lancet352:1413-1418, 1998[Medline]

4. Bleehen NM, Girling DJ, Machin D, et al: A randomized trial of three or six courses of etoposide, cyclophosphamide, methotrexate and vincristine or six courses of etoposide and ifosfamide in small cell lung cancer (SCLC): 11: Quality of life—Medical Research Council Lung Cancer Working Party. Br J Cancer68:1157-1166, 1993[Medline]

5. Anonymous: Outcomes of cancer treatment for technology assessment and cancer treatment guidelines. J Clin Oncol14:671-679, 1996[Abstract/Free Full Text]

6. O'Boyle CA, Waldron D: Quality of life issues in palliative medicine. J Neurol 224:18-25, 1997 (suppl 4)

7. O'Boyle CA, McGee HM, Joyce CRB: Individual Quality of Life: Approaches to Conceptualisation and Measurement in Health. Reading, MA, Harwood Academic, 1998

8. Cassel EJ: The nature of suffering and the goals of medicine. N Engl J Med306:639-645, 1982[Abstract]

9. Kearney M: Palliative medicine: Just another specialty? Palliat Med6:39-46, 1992[Abstract/Free Full Text]

10. Karnofsky DA, Burchenal JH: The clinical evaluation of chemotherapeutic agents in cancer, MacLeod CM (ed):Evaluation of Chemotherapeutic Agents191-205Symposium, Microbiology Section, New York Academy of Medicine. New York, NY, Columbia University, 1949

11. Spitzer WO, Dobson AJ, Hall J, et al: Measuring the quality of life of cancer patients: A concise ql-index for use by physicians. J Chronic Dis34:585-597, 1981[Medline]

12. Morris JN, Suissa S, Sherwood S, et al: Last days: A study of the quality of life of terminally ill cancer patients. J Chronic Dis39:47-62, 1986[Medline]

13. Slevin ML, Plant H, Lynch D, et al: Who should measure quality of life, the doctor or the patient? Br J Cancer57:109-112, 1988[Medline]

14. Presant CA: Quality of life in cancer patients: Who measures what? Am J Clin Oncol7:571-573, 1984[Medline]

15. Gill TM, Feinstein AR: A critical appraisal of the quality of quality of life measurements. JAMA272:619-626, 1994[Abstract/Free Full Text]

16. Leplege A, Hunt S: The problem of quality of life in medicine. JAMA278:47-50, 1997[Abstract/Free Full Text]

17. Osoba D: Quality of life assessment in palliative medicine. Prog Palliat Care4:167-168, 1996 (editorial)

18. Cella DF, Tulsky DS, Gray G, et al: The Functional Assessment of Cancer Therapy (FACT) scale: Development and validation of the general measure. J Clin Oncol11:570-579, 1993[Abstract/Free Full Text]

19. Schipper H, Clinch J, McMurray A, et al: Measuring the quality of life of cancer patients: The Functional Living Index—Cancer: Development and validation. J Clin Oncol2:472-483, 1984[Abstract]

20. Aaronson NK, Ahmedzai S, Bergman B, et al: The European Organization for Research and Treatment of Cancer QLQ-C30: A quality of life instrument for use in international clinical trials in oncology. J Natl Cancer Inst 85:365-376, 1993[Abstract/Free Full Text]

21. de Haes JCJM, van Kippenberg FC, Neijt JP: Measuring psychological and physical distress in cancer patients: Structure and application of the Rotterdam Symptom Checklist. Br J Cancer 62:1034-1038, 1990[Medline]

22. Selby PJ, Chapman JAW, Etazadi-Amoli J, et al: The development of a method for assessing the quality of life of cancer patients. Br J Cancer50:13-22, 1984[Medline]

23. Patrick DL, Erickson P: Assessing health-related quality of life for clinical decision-making, in Walker SR, Rosser RM (eds): Quality of Life Assessment: Key Issues for the 1990s. London, UK, Kluwer Academic, 1993, pp 11-64

24. Calman KC: Quality of life in cancer patients: An hypothesis. J Med Ethics10:124-127, 1984[Free Full Text]

25. O'Boyle CA: The Schedule for the Evaluation of Individual Quality of Life. Int J Mental Health23:3-23, 1994

26. Joyce CRB: Health status and quality of life: Which matters to the patient? J Cardiovasc Pharmacol23:26-33, 1994 (suppl 3)

27. Poulson J: Bitter pills to swallow. N Engl J Med338:1844-1846, 1998[Free Full Text]

28. Tannock IF: Treating the patient, not just the cancer. N Engl J Med317:1534-1535, 1987[Medline]

29. Waldron D, O'Boyle CA: Individual quality of life in palliative care, in Joyce CRB, O'Boyle CA, McGee H (eds): Individual Quality of Life: Approaches to Conceptualisation and Assessment in Health. Reading, MA, Harwood Academic, 1998, pp 197-211

30. O'Boyle CA, McGee HM, Hickey A, et al: The Schedule for the Evaluation of Individual Quality of Life: User Manual. Dublin, Ireland, Royal College of Surgeons in Ireland, 1993, pp 10-13

31. Hickey A, Bury G, O'Boyle CA, et al: A new short form individual quality of life measure (SEIQoL-DW): Application in a cohort of individuals with HIV/AIDS. BMJ313:29-33, 1996[Free Full Text]

32. Browne J, O'Boyle CA, McGee HM, et al: Development of a direct weighting procedure for quality of life domains. Qual Life Res6:301-309, 1997[Medline]

33. Schipper H: Quality of life: The final common pathway. J Palliat Care8:5-7, 1992

34. O'Boyle CA, McGee H, Hickey A, et al: Individual quality of life in patients undergoing hip replacement. Lancet339:1088-1091, 1992[Medline]

35. McGee H, O'Boyle CA, Hickey A, et al: Assessing the quality of life of the individual: The SEIQoL in a healthy and gastroenterology unit population. Psychol Med21:749-759, 1991[Medline]

36. Browne JP, O'Boyle CA, McGee HM, et al: Individual quality of life in the healthy elderly. Qual Life Res3:235-244, 1994[Medline]

37. Stewart TR: Judgment analysis: Procedures, in Brehmer B, Joyce CRB (eds): Human Judgment: The SJT View. Amsterdam, the Netherlands, Elsevier Science, 1988, pp 41-74

38. Bland JM, Altman DG: Statistical methods for assessing agreement between two methods of clinical measurement. Lancet1:307-310, 1986[Medline]

39. Cohen SR, Mount BM, Tomas J, et al: Existential well-being is an important determinant of quality of life. Cancer77:576-586, 1996[Medline]

40. Salmon P, Manzi F, Valori RM: Measuring the meaning of life for patients with incurable cancer: The Life Evaluation Questionnaire (LEQ). Eur J Cancer32:755-760, 1996

41. Sloan JA, Loprinzi CL, Kuross SA, et al: Randomized comparison of four tools measuring overall quality of life in patients with advanced cancer. J Clin Oncol16:3662-3673, 1998[Abstract]

42. Berry DC, Broadbent DE: Interactive tasks and the implicit-explicit distinction. Br J Psychol79:251-272, 1986

43. Danis M, Southerland LI, Garrett JM, et al: A prospective study of advance directives for life-sustaining care. N Engl J Med324:882-888, 1991[Abstract]

44. Orentlicher D: The illusion of patient choice in end of life decisions. JAMA267:2101-2104, 1992[Free Full Text]

45. Allison PJ, Locker D, Feine JS: Quality of life: A dynamic construct. Soc Sci Med45:221-230, 1997

46. Sprangers M: Response-shift bias: A challenge to the assessment of patients' quality of life in cancer clinical trials. Cancer Treat Rev22:55-62, 1996

47. Kearney M: Mortally Wounded. Dublin, Ireland, Marino Books, 1996, pp 67-134

48. Spilker B (ed): Quality of Life and Pharmacoeconomics in Clinical Trials (ed 2). New York, NY, Raven, 1996, pp 1-10

49. Patrick DL, Erickson P: Health Status and Health Policy: Allocating Resources to Health Care. New York, NY, Oxford University Press, 1993, pp 3-26

50. Varricchio CG, McCabe MS, Trimble E, et al: Quality of life in cancer clinical trials. J Natl Cancer Inst Monogr 20:vii-viii, 1996

51. Osoba D: Lessons learned from measuring health-related quality of life in oncology. J Clin Oncol12:608-616, 1994[Abstract]

52. Doyle D, Hanks GWC, MacDonald N: Oxford Textbook of Palliative Medicine. New York, NY, Oxford University Press, 1993, pp 3-8

53. Richards T: Partnership with patients. BMJ316:85-86, 1998 (editorial) [Free Full Text]

54. Emanuel LL, Barry MJ, Stoeckle JD, et al: Advance directives for medical care: A case for greater use. N Engl J Med324:889-895, 1991[Abstract]

55. Sackett DL, Rosenberg WM: The need for evidence-based medicine. J R Soc Med88:620-624, 1995[Abstract]

Submitted February 25, 1999; accepted July 2, 1999.


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Facebook Facebook   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Palliat MedHome page
G Andersson Sviden, C. Furst, L von Koch, and L Borell
Palliative day care - a study of well-being and health-related quality of life
Palliative Medicine, July 1, 2009; 23(5): 441 - 447.
[Abstract] [PDF]


Home page
CJASNHome page
K. Abdel-Kader, L. Myaskovsky, I. Karpov, J. Shah, R. Hess, M. A. Dew, and M. Unruh
Individual Quality of Life in Chronic Kidney Disease: Influence of Age and Dialysis Modality
Clin. J. Am. Soc. Nephrol., April 1, 2009; 4(4): 711 - 718.
[Abstract] [Full Text] [PDF]


Home page
Palliat MedHome page
R. Jox, M Krebs, J Bickhardt, K Hessdorfer, S Roller, and G. Borasio
How strictly should advance decisions be followed? The patients' opinion
Palliative Medicine, July 1, 2008; 22(5): 675 - 676.
[PDF]


Home page
JRSMHome page
R Pearcy, D Waldron, C O'Boyle, and R MacDonagh
Proxy assessment of quality of life in patients with prostate cancer: how accurate are partners and urologists?
J R Soc Med, March 1, 2008; 101(3): 133 - 138.
[Abstract] [Full Text] [PDF]


Home page
Palliat MedHome page
M. J. Westerman, T. Hak, M. A. Echteld, H. J.M. Groen, and G. van der Wal
Change in what matters to palliative patients: eliciting information about adaptation with SEIQoL-DW
Palliative Medicine, October 1, 2007; 21(7): 581 - 586.
[Abstract] [PDF]


Home page
Palliat MedHome page
M. A Echteld, L. van Zuylen, M. Bannink, E. Witkamp, and C. C. Van der Rijt
Changes in and correlates of individual quality of life in advanced cancer patients admitted to an academic unit for palliative care
Palliative Medicine, April 1, 2007; 21(3): 199 - 205.
[Abstract] [PDF]


Home page
JCOHome page
D. Dubois, R. Dhawan, H. van de Velde, D. Esseltine, S. Gupta, M. Viala, and C. de la Loge
Descriptive and Prognostic Value of Patient-Reported Outcomes: The Bortezomib Experience in Relapsed and Refractory Multiple Myeloma
J. Clin. Oncol., February 20, 2006; 24(6): 976 - 982.
[Abstract] [Full Text] [PDF]


Home page
Palliat MedHome page
M. A Echteld, L. Deliens, M. E Ooms, M. W Ribbe, and G. van der Wal
Quality of life change and response shift in patients admitted to palliative care units: a pilot study
Palliative Medicine, July 1, 2005; 19(5): 381 - 388.
[Abstract] [PDF]


Home page
Palliat MedHome page
P Levack, J Graham, and J Kidd
Listen to the patient: quality of life of patients with recently diagnosed malignant cord compression in relation to their disability
Palliative Medicine, October 1, 2004; 18(7): 594 - 601.
[Abstract] [PDF]


Home page
Palliat MedHome page
M. Dahele and K. Fearon
Research methodology: cancer cachexia syndrome
Palliative Medicine, July 1, 2004; 18(5): 409 - 417.
[Abstract] [PDF]


Home page
Palliat MedHome page
K R. Yabroff, J. S Mandelblatt, and J. Ingham
The quality of medical care at the end-of-life in the USA: existing barriers and examples of process and outcome measures
Palliative Medicine, April 1, 2004; 18(3): 202 - 216.
[Abstract] [PDF]


Home page
Palliat MedHome page
S. Kaasa and J. H. Loge
Quality of life in palliative care: principles and practice
Palliative Medicine, January 1, 2003; 17(1): 11 - 20.
[Abstract] [PDF]


Home page
Ann OncolHome page
F. Cardoso, A. Di Leo, C. Lohrisch, C. Bernard, F. Ferreira, and M. J. Piccart
Second and subsequent lines of chemotherapy for metastatic breast cancer: what did we learn in the last two decades?
Ann. Onc., February 20, 2002; 13(2): 197 - 207.
[Abstract] [Full Text] [PDF]


Home page
JCOHome page
J. Bernhard, R. Maibach, B. Thurlimann, C. Sessa, and M. S. Aapro
Patients' Estimation of Overall Treatment Burden: Why Not Ask the Obvious?
J. Clin. Oncol., January 1, 2002; 20(1): 65 - 72.
[Abstract] [Full Text] [PDF]


Home page
BMJHome page
J. Addington-Hall and L. Kalra
Measuring quality of life: Who should measure quality of life?
BMJ, June 9, 2001; 322(7299): 1417 - 1420.
[Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Save to my personal folders
Right arrow Download to citation manager
Right arrowRights & Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Waldron, D.
Right arrow Articles by Carney, D.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Waldron, D.
Right arrow Articles by Carney, D.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Facebook   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

About
JCO
 Editorial
Roster
 Advertising
Information
 Librarians &
Institutions
 Rights &
Permissions
 PDA Services

Copyright © 1999 by the American Society of Clinical Oncology, Online ISSN: 1527-7755. Print ISSN: 0732-183X
Terms and Conditions of Use
  HighWire Press HighWire Press™ assists in the publication of JCO Online