Measurement of the quality of life in cancer survivors

A QOL instrument was developed to measure the specific concerns of long term cancer survivors. The QOL-CS is based on previous versions of the QOL instrument developed by researchers at the City of Hope National Medical Centre (Grant, Padilla, and Ferrell). This instrument was revised over a one year pilot by Hassey-Dow and Ferrell. The revised instrument included 41 items representing the four domains of quality of life incorporating physical, psychological, social, and spiritual well being. The present study was conducted as a mail survey to the membership (n=1,200) of the National Coalition for Cancer Survivorship with 686 subjects responding to the survey. This survey included a Demographic tool, QOL-CS and the FACT-G tool developed by Cella. Psychometric analysis, performed on 686 respondents, included measures of reliability and validity. Two measures of reliability included test-retest and internal consistency. The overall QOL-CS tool test-retest reliability was 0.89 with subscales of Physicalr=0.88, Psychologicalr=0.88, Socialr=0.81, and Spiritual,r=0.90. The second measure of reliability was computation of internal consistency using Cronbach's coefficient as a measure of agreement between items and subscales. Analysis revealed an overallr=0.93. Subscale alphas average ranged fromr=0.71 for spiritual well being,r=0.77 for physical,r=0.81 for social, andr=0.89 for psychological.Several measures of validity were used to determine the extent to which the instrument measured the concept of QOL in cancer survivors. The first method of content validity was based on a panel of QOL researchers and nurses with expertise in oncology. The second measure used stepwise multiple regression to determine factors most predictive of overall QOL in cancer survivors. Seventeen variables were found to be statistically significant accounting for 91% of the variance in overall QOL. The fourth measure of validity used Pearson's correlations to estimate the relationships between the subscales of QOL-CS and the subscales of the established FACT-G tool. There was moderate to strong correlation between associated subscales including QOL-CS physical to FACT physical (r=0.74), QOL-CS Psych to FACT Emotional (r=0.65), QOL Social to FACT Social (r=0.44). The overall QOL-CS correlation with the FACT-G was 0.78. Additional measures of validity included correlations of indimeasures of validity included correlations of individual items of the QOL-CS tool, factor analysis, and construct validity discriminating known groups of cancer survivors. Findings demonstrated that the QOL-CS and its subscales adequately measured QOL in this growing population of cancer survivors.     

Measuring quality of life among cervical cancer survivors: preliminary assessment of instrumentation validity in a cross-cultural study

Background With growing interest in cross-cultural and multicultural cancer-related quality of life studies, the need to assess reliability and validity of quality of life measures for linguistically and culturally diverse cancer survivors is pressing. Methods Reliability and validity of the English and Spanish versions of the Functional Assessment of Cancer Therapy (FACT)-G subscales were tested with a sample of English-speaking European American (n = 273) and ethnic minority American (n = 194), and Spanish-speaking Latina (n = 199) cervical cancer survivors in the U.S. Results Reliability coefficients (Cronbach’s alpha) were 0.76 or higher across ethnic/linguistic groups except for the emotional wellbeing subscale among Spanish-speaking Latinas (α = 0.64). Factor analyses demonstrated overall measurement equivalence across groups with some ethnic/linguistic variations: there were greater differences between linguistic groups than between ethnic groups. Additionally, the scale’s factor structure was less satisfactory for Spanish-speaking Latinas. The subscales had good concurrent validity with appropriate subscales of the Short Form (SF)-12 and Rand/SF-36 General Health subscale (Pearson’s r 0.53–0.66), suggesting each subscale was assessing its intended construct. Conclusion The overall psychometric properties of the FACT-G were cross-culturally equivalent. However, more validation studies are needed for non-English speaking populations particularly with emotional wellbeing. In addition, disaggregated analyses on linguistic groups are recommended unless cross-cultural equivalence is established. All participants in this study have provided written informed consent as required by the University of California at Los Angeles Institutional Review Board.     

A psychometric analysis of the Quality of Life-Cancer Survivors (QOL-CS) in survivors of childhood cancer

Given the increasing interest in quality of life research in cancer survivorship, psychometric properties of the Quality of Life-Cancer Survivors (QOL-CS) were explored in a group of childhood cancer survivors. The QOL-CS is a 41-item visual analog scale composed of four multi-item sub-scales (physical well-being, psychological well-being, social well-being, spiritual well-being) and two sub-components (fears, distress). This instrument was incorporated in a mailed survey completed by 177 respondents. The underlying factor structure and internal reliability of the instrument were explored. A preliminary assessment of the external validity of the factor structure was undertaken. Results of a factor analysis were theoretically consistent with elements assessed in the QOL-CS, although misclassification of several items was noted and discussed. Internal-consistency reliability was very good (Cronbach's α = 0.80–0.89) for five of the six factors. Moderate (0.30 < r < 0.45) to high (r > 0.60) concurrent validity was observed for four factors. Discriminant validity was noted across groups defined by health and social status variables. Psychometric analysis indicated that the instrument measured distinct and relevant domains of quality of life for childhood cancer survivors, but in its current form does not appear to be an optimal measure of quality of life in this population. This revised version was published online in June 2006 with corrections to the Cover Date.     

Psychometric properties of the RAND-36 among three chronic disease (multiple sclerosis,rheumatic diseases and COPD) in the Netherlands

Objective: In this article, psychometric properties both of the total RAND-36 and of its subscales, such as unidimensionality, differential item functioning (DIF or item bias), homogeneity and reliabilities, are examined. Methods: The data from populations with three chronic illnesses, multiple sclerosis (n = 448), rheumatism (n = 336) and COPD (n = 259), have been collected in different parts of the Netherlands. The main technique used was Mokken scale analysis for polytomous items. Results: All subscales of the RAND-36 appeared to be unidimensional. For the sub scales ‘mental health’ and ‘general health perceptions’ some minor indications of DIF for the different chronic illnesses were found. Reliabilities of almost all subscales in all subpopulations were higher than 0.80, while the homogeneities of almost all subscales in all subpopulations were higher than 0.50, indicating ‘strong unidimensional, hierarchical scales’. Conclusions: In general, the subscales of the RAND-36 can be used to compare persons with different chronic illnesses. The subscale ‘general health perceptions’ did not function as well as would be preferred. This revised version was published online in June 2006 with corrections to the Cover Date.     

Is a Generic Quality of Life Instrument Helpful for Evaluating Women with Urinary Incontinence?

Objectives: The aim of this study was to determine whether a generic health outcome instrument would be helpful for evaluating women with stress urinary incontinence (UI) combined with or without urge UI. Methods: A total of 109 women with UI and 80 controls participated in the study. Health-related quality of life (QOL) was measured using the Medical Outcomes Study 36-Item Short-Form General Health Survey (SF-36) and the Incontinence Quality of Life (I-QoL) questionnaire. Results: Among eight domains of the SF-36 questionnaire, only four domains, namely, ‘role-physical functioning’ (p<0.05), ‘vitality’ (p<0.05), ‘mental health’ (p<0.05) and ‘bodily pain’ (p<0.05) were significantly different between the groups. Comparing the I-QoL sores in the two groups, patients with UI had significantly poorer subscale scores of I-QoL than the controls (p<0.05 for all domains). When women with UI were subdivided into groups of stress and mixed UI, only 2 domains of the SF-36 questionnaire, ‘role-physical functioning’ (p<0.05) and ‘bodily pain’ (p<0.05), were significantly different. The mixed UI group had higher scores only on these two domains compared to the stress UI group. In the ‘role-physical functioning’ domain, there was no significant difference between the mixed UI group and the controls. In ‘bodily pain’ domain, there was no significant difference between the stress UI group and the controls. The mixed group had the highest scores observed. Patients with mixed UI had significantly lower total scores compared to those with stress UI, including the subscale score of ‘avoidance behavior’ of the I-QoL. Among eight domains of the SF-36, only ‘physical functioning’ (r = 0.281, p<0.01) and ‘social functioning’ (r = 0.239, p<0.05) were weakly correlated with ‘psychological impact’ of the I-QoL. Conclusion: Our findings show that the generic QOL instrument is not sensitive measure of QOL in women with UI.     

Psychometric evaluation of the fatigue severity scale for use in chronic hepatitis C

Evidence exists demonstrating that infection with hepatitis C virus impairs health-related quality of life, but less is known about the effect of fatigue, a common symptom, on everyday life. The psychometric properties of the fatigue severity scale (FSS) were explored to determine suitability as an outcome measure in clinical trials. The FSS includes nine items developed to measure disabling fatigue and a visual analog scale (VAS) to measure overall fatigue. Using baseline data from three clinical trials (n = 1225) involving chronic hepatitis C patients, scaling and psychometric characteristics of the FSS were assessed. The SF-36 was also used in the trials. Item response theory analysis demonstrated that the FSS items can be placed along a single homogenous domain, fatigue. Internal consistency reliability was 0.94. Test–retest reliability was 0.82 for the total score and 0.80 for the VAS. The total score and the VAS were significantly correlated with the SF-36 vitality subscale (r = −0.76 and r = −0.76 respectively). Correlations with other SF-36 subscales were moderate (r = −0.46 to r = −0.67, all p < 0.0001). In summary, the FSS possesses good psychometric properties. This revised version was published online in June 2006 with corrections to the Cover Date.     

Do SF-36 summary component scores accurately summarize subscale scores?

Standard scoring algorithms were recently made available for aggregating scores from the eight SF-36 subscales in two distinct, higher-order summary scores: Physical Component Summary (PCS) and Mental Component Summary (MCS). Recent studies have suggested, however, that PCS and MCS scores are not independent and may in part be measuring the same constructs. The aims of this paper were to examine and illustrate (1) relationships between SF-36 subscale and PCS/MCS scores, (2) relationships between PCS and MCS scores, and (3) their implications for interpreting research findings. Simulation analyses were conducted to illustrate the contributions of various aspects of the scoring algorithm to potential discrepancies between subscale profile and summary component scores. Using the Swedish SF-36 normative database, correlation and regression analyses were performed to estimate the relationship between the two components, as well as the relative contributions of the subscales to the components. Discrepancies between subscale profile and component scores were identified and explained. Significant correlations (r = −0.74, −0.67) were found between PCS and MCS scores at their respective upper scoring intervals, indicating that the components are not independent. Regression analyses revealed that in these ranges PCS primarily measures aspects of mental health (57% of variance) and MCS measures physical health (65% of variance). Implications of the findings were discussed. It was concluded that the current PCS/MCS scoring procedure inaccurately summarizes subscale profile scores and should therefore be revised. Until then, component scores should be interpreted with caution and only in combination with profile scores. This revised version was published online in June 2006 with corrections to the Cover Date.     

Psychometric evaluation of a Chinese (Taiwanese) version of the SF-36 health survey amongst middle-aged women from a rural community

To test the psychometric properties of the Chinese (Taiwanese) version of the short form 36 health survey (SF-36), 1439 women, aged 40–54 years and living in Kinmen (a Taiwanese island reflecting a predominantly rural community) were recruited to participate in this survey. The rate of unavailable data points for the 36 tested items remained consistently low, and item-discriminate validity was high (95%) for all subscales. Cronbach's α coefficient remained above the 0.70 threshold criterion for all scales except for social functioning and bodily pain. Principal components analysis supported the two major dimensions of health, physical and mental, in the internal structure of the SF-36 scales, although the dimensions did not match the hypothesized association very well. Poorer health profiles were associated with physical and mental conditions. The mental health subscores in the SF-36 test correlated highly with the associated hospital anxiety and depression score (Spearman rank correlation coefficient = −0.62). In conclusion, the reliability and validity tests performed on the data collected support the cross-cultural application of the Chinese (Taiwanese) version of the SF-36 test. This revised version was published online in June 2006 with corrections to the Cover Date.     

The Psychometric Properties of the Chinese Version of the SF-36 Health Survey in Patients with Myocardial Infarction in Mainland China

Objective To test the reliability and validity of the Chinese Mandarin version of the SF-36 health survey (CM:SF-36) in patients with myocardial infarction (MI) in mainland China.Methods Single group, cross-sectional design to test the measurement performance on a convenience sample of 180 Chinese patients with MI, 30 of whom were retested after 2 weeks to establish reliability.Findings Cronbach’s α coefficients exceeded the 0.70 criterion for all subscales except General Health, indicating good internal consistency. Test–retest reliability was adequate (intraclass correlation coefficient >0.70) for all subscales. The significant differences were detected by the presence or absence of co-morbidities and the number of risk factors in most physical subscales indicating good discriminative validity. Principal components factor analysis with varimax rotation confirmed the presence of the eight factors, though the item loadings of the Vitality and Mental Health subscales were found to differ from the original ones of the SF-36.Conclusion The CM:SF-36 is a psychometrically acceptable instrument for assessing the health status of Chinese patients with myocardial infarction.     

Do the SF-36 and WHOQOL-BREF Measure the Same Constructs? Evidence from the Taiwan Population*

Background: The SF-36 and WHOQOL-BREF are available for international use, but it is not clear if they measure the same constructs. We compared the psychometric properties and factor structures of these two instruments. Methods: Data were collected from a national representative sample (n=11,440) in the 2001 Taiwan National Health Interview Survey, which included Taiwan versions of the SF-36 and WHOQOL-BREF. We used Cronbach’s alpha coefficient to estimate scale reliability. We conducted exploratory factor analysis to determine factor structure of the scales, and applied multitrait analysis to evaluate convergent and discriminant validity. We used standardized effect size to compare known-groups validity for health-related variables (including chronic conditions and health care utilization) and self-reported overall quality of life. Structural equation modeling was used to analyze relationships among the two SF-36 component scales (PCS and MCS) and the four WHOQOL subscales (physical, psychological, social relations, and environmental). Results: Cronbach’s alpha coefficients were acceptable (⩾0.7) for all subscales of both instruments. The factor analysis yielded two unique factors: one for the 8 SF-36 subscales and a second for the 4 WHOQOL subscales. Pearson correlations were weak (<0.3) among subscales of both instruments. Correlations for subscales hypothesized to measure similar constructs differed little from those measuring heterogeneous subscales. Effect sizes suggested greater discrimination by the SF-36 for health status and services utilization known groups, but greater discrimination by the WHOQOL for QOL-defined groups. Structural equation modeling suggested that the SF-36 PCS and MCS were weakly associated with WHOQOL. Conclusions: In this Taiwan population sample, the SF-36 and WHOQOL-BREF appear to measure different constructs: the SF-36 measures health-related QOL, while the WHOQOL-BREF measures global QOL. Clinicians and researchers should carefully define their research questions related to patient-reported outcomes before selecting which instrument to use. * Presented in part at (1) 11th Annual Conference of the International Society for Quality of Life Research. Hong Kong, China, 2004. (2) 2004 Quality of Life Symposium – Conceptualization and Measurement issues in QOL. Tai-Chuan, Taiwan, 2004     

Assessing Measurement Properties of Two Single-item General Health Measures

Background: Multi-item health status measures can be lengthy, expensive, and burdensome to collect. Single-item measures may be an alternative. We compared measurement properties of two single-item, general self-rated health (GSRH) questions to assess how well they captured information in a validated, multi-item instrument. Methods: We administered a general health survey (SF-12V) that included “standard” and “comparative” forms of a GSRH. We repeated the survey two weeks later to the same 75 medically stable outpatients to test for GSRH reproducibility, reliability, and validity using SF-12V Physical Functioning and Emotional Health subscales as a reference. Results: At each survey administration, the two GSRH questions demonstrated good alternate forms reliability (first administration: r=0.74, p<0.001; second administration: r=0.74, p<0.001) and good reproducibility (“standard”: ICC 0.69; “comparative”: ICC 0.85). Both GSRH items correlated with physical functioning (“standard”: r=0.66; “comparative”: r=0.56) and emotional health measures (“standard”: r=0.65; “comparative”: r=0.59). Mean subscale measures associated with responses in each GSRH category were significantly different (ANOVA, p<0.001), indicating strong discriminant scale performance. Conclusions: Our single-item, GSRH questions demonstrated good reproducibility, reliability, and strong concurrent and discriminant scale performance with an established health status measure.     

The Sexual Self-Consciousness Scale: Psychometric Properties

An investigation of the Sexual Self-Consciousness Scale (SSCS) is reported that aims to measure individual variability with regard to the construct of self-consciousness as experienced in sexual situations. The construct relates to the attentional-capacity model of sexual arousal. Sexual self-consciousness may constitute a vulnerability factor for the development of sexual dysfunction. In the present study, men and women with sexual dysfunction and healthy control participants were investigated (N = 282). Principal component analysis and multitrait scaling analysis showed that a two-component, oblimin-rotated solution based on 12 items and explaining 53.7% of the total variance could be well interpreted. The Sexual Embarrassment subscale (Cronbach’s α = .84), the Sexual Self-Focus subscale (α = .79), and the full scale (α = .85) were found to have satisfactory to good internal consistency. Test–retest reliability was satisfactory for the Sexual Embarrassment subscale (r = .84), the Sexual Self-Focus subscale (r = .79), and total score (r = .83). An effect of sex was found on the Sexual Embarrassment subscale, with female participants scoring higher than male participants. Compared with sexually functional participants, sexually dysfunctional participants scored higher on the Sexual Embarrassment and Sexual Self-Focus subscales. Convergent and divergent construct validity was investigated by comparing the associations of SSCS subscales with general self-consciousness and psychological distress scales. The pattern of correlations was interpreted as providing support for the instrument’s construct validity. In conclusion, the SSCS was found to have satisfactory reliability and validity characteristics, and is expected to contribute to the field of sex research and clinical sexology.     

A Study of the Construct Validity of the Health Utilities Index Mark 3 (HUI3) in Patients with Schizophrenia

This study assessed the construct validity of the Health Utilities Index Mark 3 (HUI3) in patients with schizophrenia. Patients with schizophrenia recruited from a tertiary mental hospital in Singapore completed the HUI3, the Short-Form 36 Health Survey (SF-36) and the Schizophrenia Quality of Life Scale (SQLS). Patients were assessed for presence and absence of 22 common psychiatric symptoms. Construct validity was assessed using 6 a priori hypotheses. Two hundred and two patients (mean age: 37.8 years, female: 52%) completed the survey. As hypothesized, overall HUI3 utility scores were correlated with SF-36 measures (Spearman’s rho: 0.19 to 0.51), SQLS scales (Spearman’s rho: −0.56 to −0.36), and the number of psychiatric symptoms (Spearman’s rho: −0.49). The HUI3 emotion attribute was moderately correlated with SF-36 mental health (Spearman’s rho: 0.45) and SQLS psychosocial scales (Spearman’s rho: −0.43), and HUI3 pain attribute was strongly correlated with SF-36 bodily pain scale (Spearman’s rho: 0.58). The mean HUI3 overall, emotion, cognition, and speech scores for patients with schizophrenia were 0.07, 0.09, 0.04 and 0.04 points lower than respective age-, sex- and ethnicity-adjusted population norms (p<0.001 for all, ANCOVA). This study provides evidence for the construct validity of the HUI3 in patients with schizophrenia.     

Telephone vs. mail survey gives different SF-36 quality-of-life scores among cancer survivors

OBJECTIVE: To assess whether SF-36 quality-of-life (QOL) subscale scores varied across two survey modes controlling for cancer type and diagnosis cohort. STUDY DESIGN AND SETTING: Stratified random samples of 720 cancer survivors from six cancer types and three time-since diagnosis cohorts were selected from two state cancer registries. Selected survivors were randomly assigned to mail, telephone, or choice of these for survey administration. This study analyzes completed questionnaires obtained from 140 and 155 survivors who were assigned to telephone and mail, respectively. RESULTS: A significant multivariate effect for survey mode was noted. Mean levels for each subscale controlling for age and accounting for cancer type were higher for telephone compared to mail respondents; significant differences were noted for vitality, role physical, and mental health. The impact of cancer type on QOL subscales was not significant, and the effect of mode was consistent across cancer type. CONCLUSIONS: Previous findings in mode effects for the SF-36 are reproduced here among cancer survivors who may feel more comfortable revealing physical and emotional deficits via mail rather than by telephone. For cancer survivors, it may be that "social desirability" favors responses implying more functioning be it perceived, mental, or physical.     

Construct Validation of the Greek SF-36 Health Survey

Objective: To test the construct validity of the Short-Form 36 (SF-36) Health Survey, using structural equation modeling (SEM). Methods: Cross -sectional survey was conducted. Data were collected from 1007 participants in a stratified sample of adult general population, interviewed face-to-face by trained interviewers. Results: SEM analyses supported the superiority of the eight first-order factor model of health. Higher -order analyses suggested that a model with three correlated second-order factors (physical health, general well-being, general mental health) and one third-order factor (health) provided a satisfactory fit to the data. Conclusions: These results confirm the multidimensional structure of the SF-36 and underscore the feasibility of multinational comparisons of health status using this instrument. They also support the use of eight subscale scores in parallel with three second -order summary scores rather than one overall score.     

The Significance of Importance: An Evaluation of Ferrans and Powers’ Quality of Life Index

Ferrans and Powers’ Quality of Life Index (QLI) defines and assesses quality of life (QoL) in terms of importance-weighted life satisfaction. This study assessed the value of such weights and explored the relationship between weighted and unweighted (satisfaction only) scores and single-item rated overall life satisfaction (LS) and QoL. Data were collected by a postal survey to 81 Parkinson’s disease patients (88% response rate). Correlations between weighted and unweighted QLI scores were ≥0.96, except for one subscale (r_s = 0.85). Item non-response rates ranged between 4.2 and 45.1% and 1.4 and 38% for the weighted and unweighted QLI, respectively. Cronbach’s α exceeded 0.7 for weighted and unweighted versions of two out of the four subscales and the total score. Scaling success rates were similar for weighted and unweighted scores and did not support the current subscale structure. Unexpectedly, weighted total scores correlated stronger with LS than with QoL, and unweighted scores displayed the opposite pattern. This study found no advantages by using importance-weighted satisfaction scores. The correlational pattern with overall LS and QoL challenges the QLI approach to QoL, although these observations may relate to the use of multiplicative item weights. This study has implications also beyond the QLI regarding, e.g., the use of multiplicative weights and the relationship between life satisfaction and QoL.     

Influence of exercise activity on quality of life in long-term breast cancer survivors

Background: Behavioral and lifestyle factors may influence quality of life (QOL) outcomes in breast cancer survivors. Methods: Information on QOL (Short Form-36, SF-36), lifestyle and survivorship was collected during telephone interviews with 374 breast cancer patients, diagnosed between 1983 and 1988 at ages 40 years or younger and interviewed, on average 13.2 years following diagnosis. These women previously participated in a case-control study soon after their diagnoses, providing information on breast cancer risk factors including exercise activity. We examined the impact of changes in exercise activity (comparing pre- to post-diagnosis levels) on the SF-36 mental and physical health summary scales using regression analyses. Results: A positive change in exercise activity was associated with a higher score on the SF-36 physical health summary scale at follow-up (p= 0.005). Change in exercise activity was not associated with the SF-36 mental health summary scale score. Patients who increased their activity levels did not differ from those who did not in terms of medical or demographic characteristics. Conclusion: This study provides one of the longest follow-up periods of breast cancer survivors to date among studies that focus on QOL and is unique in its focus on women diagnosed at a young age. Our results confirm high levels of functioning and well-being among long-term survivors and indicate that women whose exercise activity increased following diagnosis score higher on the SF-36 physical health summary scale. These findings suggest a potential role for exercise activity in maintaining well-being after a cancer diagnosis.     

Comparison between exploratory factor-analytic and SEM-based approaches to constructing SF-36 summary scores

Objective To compare the two higher order factor structures of the Short-Form 36 (SF-36) Health Survey, using exploratory factor analytic methods and structural equation modeling (SEM). Methods Two population data sets were used. A stratified representative sample (n = 1,005) of the Greek general population was approached for interview. This survey containing the SF-36 was used to obtain component score coefficients from principal components analysis and orthogonal rotation. These coefficients were then used in the second data set (n = 1,007) of the Greek adult general population to compute scores for the physical component summary and the mental component summary of the SF-36. The second data set was also used to obtain factor scores for physical and mental health measures, applying SEM. Results Exploratory factor analysis supported the existence of two principal components that are the basis for summary physical and mental health measures. SEM showed that models assuming that physical and mental health are correlated provided a better fit to the data than models assuming independence between physical and mental health. However, all eight dimensions of SF-36 should be included in the construction of summary scores. Conclusions These results confirm the multidimensional structure of the SF-36, the correlational equivalence between standard summary measures and SEM-based second-order factor scores, and underscore the feasibility of multinational comparisons of health status using this instrument.     

A phase I/II pilot study assessing the preliminary efficacy of wall climbing for improving posttraumatic growth and quality of life in gynecologic cancer survivors

ObjectiveWe previously reported a pilot randomized controlled trial in gynecologic cancer survivors (GCS) suggesting that wall climbing is safe, feasible, and improves objective physical functioning. Here, we report the effects of wall climbing on posttraumatic growth, quality of life, and symptoms.MethodsGCS (N = 35) were randomized to either an 8-week wall climbing intervention (WCI; n = 24) or usual care (UC; n = 11). The primary efficacy outcome was posttraumatic growth assessed by the Posttraumatic Growth Inventory. Secondary outcomes included health-related quality of life assessed by the Short Form-36 (SF-36).ResultsAnalyses of covariance revealed a statistically significant or borderline significant effect favoring WCI over UC for the posttraumatic growth subscales of new possibilities (d = + 0.70; p = 0.065) and personal strength (d = + 0.76; p = 0.049) as well as the SF-36 mental health subscale (d = +0.61; p = 0.077) and the mental health component score (d = +0.80; p = 0.063). Conversely, a statistically significant or borderline significant effect favoring UC over WCI was found for the SF-36 bodily pain subscale (d = −0.50; p = 0.063) and the physical health component score (d = −0.58; p = 0.038).ConclusionsThis phase I/II study suggests that wall climbing may improve some aspects of posttraumatic growth and mental health in GCS but may also cause some bodily pain and reduced physical health. Larger phase II and III trials are needed to fully describe the potentially complex benefits and harms of wall climbing in GCS.     

Interpreting SF&-36 summary health measures: A response

In response to questions raised about the “accuracy” of SF-36 physical (PCS) and mental (MCS) component summary scores, particularly extremely high and low scores, we briefly comment on: how they were developed, how they are scored, the factor content of the eight SF-36 subscales, cross-tabulations between item-level responses and extreme summary scores, and published and new tests of their empirical validity. Published cross-tabulations between SF-36 items and PCS and MCS scores, reanalyses of public datasets (N = 5919), and preliminary results from the Medicare Health Outcomes Survey (HOS) (N = 172,314) yielded little or no evidence in support of Taft's hypothesis that extreme scores are an invalid artifact of some negative scoring weights. For example, in the HOS, those (N = 432) with “unexpected” PCS scores worse than 20 (which, according to Taft, indicate better mental health rather than worse physical health) were about 25% more likely to die within two years, in comparison with those scoring in the next highest (21– 30)␣category. In this test and in all other empirical tests, results of predictions supported the validity of extreme PCS and MCS scores. We recommend against the interpretation of average differences smaller than one point in studies that seek to detect “false” measurement and we again repeat our 7-year-old recommendation that results based on summary measures should be thoroughly compared with the SF-36 profile before drawing conclusions. To facilitate such comparisons, scoring utilities and user-friendly graphs for SF-36 profiles and physical and mental summary scores (both orthogonal and oblique scoring algorithms) have been made available on the Internet at www.sf-36.com/test. This revised version was published online in June 2006 with corrections to the Cover Date.