Journal of Pediatric Psychology Advance Access published online on March 8, 2007
Journal of Pediatric Psychology, doi:10.1093/jpepsy/jsm008
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Literature Review: Health-Related Quality of Life Measurement in Pediatric Oncology: Hearing the Voices of the Children
1Department of Pediatrics, College of Medicine, Department of Landscape Architecture and Urban Planning, College of Architecture and 2Department of Psychology, Texas A&M University, College Station and 3The Children's Hospital at Scott and White, Department of Pediatrics, College of Medicine, Texas A&M University Health Sciences Center
All correspondence concerning this article should be addressed to James W. Varni, PhD, Professor of Architecture and Medicine, College of Architecture, Texas A&M University, 3137 TAMU, College Station, Texas, 77843-3137 USA. E-mail: jvarni{at}archmail.tamu.edu.
| Abstract |
|---|
Objectives The objective of this literature review is to provide an overview of the evidence for pediatric patient self-report in pediatric oncology. Methods A review of the general literature on pediatric health-related quality of life (HRQOL) measurement as background, with pediatric patient self-report data from the Journal of Pediatric Psychology during the past 5 years in pediatric oncology summarized. Utilizing the PedsQLTM (available at http://www.pedsql.org), data are presented to illustrate child and parent reports in pediatric oncology. Results Data demonstrate that children as young as 5 years of age can reliably and validly self-report their HRQOL when an age-appropriate instrument is utilized. Conclusions The evidence supports including pediatric patients perspectives in clinical trials. Parent proxy-report is recommended when pediatric patients are too young, too cognitively impaired, too ill or fatigued to complete a HRQOL instrument, but not as a substitute for child self-report when the child is willing and able to provide their perspective.
Key words: children; health-related quality of life; patient-reported outcomes; pediatric oncology; PedsQL.
The last decade has evidenced a dramatic increase in the development and utilization of pediatric health-related quality of life (HRQOL) measures in an effort to improve pediatric patient health and determine the value of health care services (Matza, Swensen, Flood, Secnik, & Leidy, 2004
Although the measurement of HRQOL in pediatric oncology has been advocated for a number of years (Mulhern et al., 1989
), the emerging paradigm shift toward patient-reported outcomes (PROs) in clinical trials (FDA, 2006
) has provided the opportunity to further emphasize the value and essential need for pediatric patient self-reported PRO measurement as health outcomes in pediatric oncology clinical trials (Razzouk et al., 2006
).
| Patient-Reported Outcomes in Pediatric Clinical Trials |
|---|
During the past several years, legislative changes have created both voluntary and mandatory guidelines for drug studies in children, resulting in a substantial increase in pediatric clinical trials. Under the Pediatric Exclusivity Provision of the Best Pharmaceuticals for Children Act (BPCA), reauthorized in 2002, companies that conduct drug studies with children, as requested by the FDA, are eligible for an additional 6 months of marketing exclusivity for the studied drug. The Pediatric Research Equity Act (PREA), signed in 2003, allows the FDA to require pediatric studies if it is determined that the product is likely to be used by a considerable number of pediatric patients, or the product would offer an important advantage to pediatric patients over existing treatments. Nevertheless, while the above pediatric initiatives have opened the opportunity for children to be included in clinical trials, pediatric patients have not been afforded the right to self-report on matters pertaining to their health and well-being when evaluating the health outcomes of treatments in the majority of pediatric clinical trials to date (Clarke & Eiser, 2004
| Patient Reported-Outcomes (PROs) |
|---|
By definition, PROs are self-report instruments that directly measure the patient's perceptions of the impact of disease and treatment as clinical trial endpoints (FDA, 2006
| The Proxy Problem |
|---|
It is well documented in both the adult and pediatric literature that information provided by proxy-respondents is not equivalent to that reported by the patient (Achenbach, McConaughy, & Howell, 1987
In a meta-analysis of studies evaluating the agreement between child self-report and parent proxy-report on different measures of HRQOL, Eiser & Morse (2001
) found generally good agreement (r > .50) between child and parent reports for domains reflecting physical activity, functioning and some symptoms, but generally poor agreement (r < .30) between child self-report and parent proxy-report for emotional and social HRQOL domains (Eiser & Morse, 2001
). Given these correlations, and others like them in the literature cited above, it can be concluded that parent proxy-reports typically explain only 1025% of the variance in child self-report HRQOL outcomes. Thus, the findings on the proxy problem "indicate that parent reports cannot be substituted for child reports" (Theunissen et al., 1998
). To further complicate the use of proxy reporters, which typically are the child's parents, most often mothers, are the unresolved concerns regarding the influence of parental distress and related factors on parents perceptions of child health and well-being (Berg-Nielsen, Vika, & Dahl, 2003
; De Los Reyes & Kazdin, 2004
; Richters, 1992
). Taken together, the evidence is quite compelling that evaluations of pediatric patients perspectives regarding treatment outcomes should be included in pediatric clinical trials given the documented differences between child and parent reports.
| The Role for Parent Proxy-Report |
|---|
While pediatric patient self-report should be considered the standard for measuring perceived HRQOL, there may be circumstances when the child is too young, too cognitively impaired, too ill or fatigued to complete a HRQOL instrument, and parent proxy-report may be needed in such cases (Hays et al., 2006
In cases in which pediatric patients are not able to provide self-report, reliable and valid parent proxy-report instruments are needed (Varni, Limbers, & Burwinkle, 2007b
). For example, in a recent HRQOL study with pediatric patients with brain tumors, of those children aged 518 years who were age eligible to self-report, 62% of the children were able to self-report (Palmer, Meeske, Katz, Burwinkle, & Varni, 2007
). Of the 99 families of children aged 218 years who participated in this study of pediatric brain tumor patients, parent proxy-report was obtained from 99 parents, while pediatric patients who did not provide self-report included 17 patients who were toddlers (ages 24 years), 7 patients who reported they felt too ill to participate when approached, 11 who were determined to be cognitively delayed and unable to provide self-report, 5 who refused, and 4 who attempted to fill out the forms and became fatigued or became ill during the interview and were unable to finish during their clinic visit. As is clear from this study and others, parent proxy-report instruments are required in situations such as this, and reliable and valid parent proxy-report instruments are consequently vital when children are unable to provide self-report.
Research on the factors which may influence the level of agreement between pediatric patients and their parents is also emerging, with age and health status as potential factors among others (Cremeens, Eiser, & Blades, 2006b
). For example, some findings in pediatric oncology suggest that parent proxy-report demonstrates higher agreement with child self-report when pediatric patients with cancer are off-treatment rather than on-treatment, with parent proxy-report underestimating the negative impact of cancer treatment on HRQOL relative to pediatric patient self-report (Yeh, Chang, & Chang, 2005
). Ideally, parent and child HRQOL instruments should measure the same constructs with parallel items in order to make comparisons between self- and proxy-report more meaningful (Cremeens, Eiser, & Blades, 2006a
; Russell, Hudson, Long, & Phipps, 2006
).
| Generic and Disease-Specific HRQOL Instruments |
|---|
While there are a number of pediatric oncology disease-specific instruments available (Eiser, 2004
| Literature Review of Pediatric Oncology Studies in the Journal of Pediatric Psychology |
|---|
A literature review was conducted in the Journal of Pediatric Psychology from January 2002 to January 2007 for studies that assessed the HRQOL or QOL of pediatric cancer patients or survivors during that 5-year period. A measure was designated as a HRQOL or QOL instrument if the author(s) defined it as such and it was multidimensional, consistent with guidelines set forth by the World Health Organization (World Health Organization, 1948
Table I presents the findings of this literature review. A total of five studies published in the Journal of Pediatric Psychology between January 2002 and January 2007 were identified by this search process. While three of the five studies assessed the HRQOL or QOL of pediatric cancer patients and survivors from both the perspective of the child and parent, these studies did not include child self-report for children under the age of 8 years (Barakat et al., 2003
; De Clercq, De Fruyt, Koot, & Benoit, 2004
; Schwartz & Drotar, 2006
). In the two studies in which HRQOL or QOL were measured for pediatric cancer patients and survivors under the age of 8 years, only parent proxy-report was obtained, with the lower age limit of 5 years (Drotar, Schwartz, Palermo, & Burant, 2006
; Parsons et al., 2006
).
|
Table II presents characteristics of individual studies published in the Journal of Pediatric Psychology from January 2002 to January 2007 measuring outcomes not labeled by the author(s) as HRQOL or QOL in pediatric cancer patients and survivors. Consistent with the findings above, the majority of studies assessed a limited age range for child self-report, especially for the youngest children (Barakat, Alderfer, & Kazak, 2006
|
To summarize, no HRQOL or QOL pediatric oncology studies published in the Journal of Pediatric Psychology for the most recent 5-year period included child self-report for children younger than 8 years of age or parent proxy-report for children younger than 5 years of age. Consequently, the next sections present pediatric oncology data utilizing the PedsQLTM (Pediatric Quality of Life InventoryTM) that includes child self-report for ages 518 years and parent proxy-report for ages 218 years to illustrate the feasibility of using HRQOL measures across this broader age range for child and parent reports. These data include substantially larger sample sizes than the pediatric oncology studies published in the Journal of Pediatric Psychology during the past 5 years.
| PedsQLTM Measurement Model |
|---|
Consistent with the measurement paradigm that generic and disease-specific HRQOL measures should be administered so as to gain a more comprehensive evaluation of the patient's HRQOL, the PedsQLTM Measurement Model was designed as a modular approach to measuring pediatric HRQOL, developed to integrate the relative merits of generic and disease-specific approaches (Varni et al., 1999
The PedsQLTM 4.0 Generic Core Scales were designed for application in both healthy and patient populations (Varni, Burwinkle, & Seid, 2006
; Varni et al., 2001
, 2003
), while the PedsQLTM modules for pediatric oncology were designed to measure HRQOL dimensions specifically tailored for pediatric patients with cancer (Palmer et al., 2007
; Varni, Burwinkle, Katz, Meeske, & Dickinson, 2002
).
Tables III and IV illustrate composite published data utilizing the PedsQLTM 4.0 Generic Core Scales and PedsQLTM Multidimensional Fatigue Scale for samples of healthy children and pediatric oncology patients, demonstrating significant and large differences between the oncology sample and the healthy sample across HRQOL dimensions. Table V demonstrates internal consistency reliability of the Total Scale Scores for the Generic Core and Fatigue Scales. These data illustrate an approach in which both child self-report and parent proxy-report reliability and validity are demonstrated with parallel instruments, enabling comparisons within pediatric clinical trials from these two perspectives on child HRQOL.
|
|
|
| Clinically Important Difference |
|---|
The minimal clinically important difference (MCID) has been defined as the smallest difference in a score of a domain of interest that patients perceive to be beneficial and that would mandate, in the absence of troublesome side effects and excessive costs, a change in the patient's management (Jaeschke, Singer, & Guyatt, 1989
| Cut-Point for At-Risk Status |
|---|
Scores approximating one standard deviation below the population mean have been proposed as a meaningful cut-off point score for an at-risk status for impaired HRQOL relative to population means (Matza et al., 2004
| Differences between HRQOL and At-The-Moment Assessment |
|---|
Developments in ecological momentary assessment (EMA) suggest the benefits of measuring symptoms at-the-moment in ecologically relevant environments (Stone & Shiffman, 1994
Typically, HRQOL instruments measure functioning retrospectively over the past 7 days or the past 1 month. In contrast, at-the-moment instruments measure symptoms as they occur; utilizing paper-and-pencil or electronic data capture modalities. EMA research with adult patients demonstrates the utility of at-the-moment assessment in disentangling the interrelationships between such diverse constructs as pain, mood, fatigue, coping, and social support through a daily process analysis (Feldman, Downey, & Schaffer-Neitz, 1999
). The application of these methods and technologies to the pediatric population will require measurement instruments that are developmentally appropriate for young children as well as older children and teens. Additionally, similar to research with adult cancer patients (Banthia et al., 2006
), the correspondence between daily measures and weekly or monthly measures needs to be investigated.
| The Importance of Child Self-Report for Ages 57 Years: An Empirical Illustration |
|---|
A recent clinical trial in pediatric cancer illustrates the importance of attaining child self-report for the youngest children empirically feasible. This double-blind, placebo-controlled study evaluated the effects of once-weekly epoetin alfa (EPO) on the HRQOL of anemic pediatric cancer patients 518 years of age receiving myelosuppressive chemotherapy in a national multisite randomized controlled clinical trial using the PedsQLTM 4.0 as the HRQOL outcome measure (Razzouk et al., 2006
| Conclusions |
|---|
Evidence now available demonstrates that pediatric patients aged 518 years can reliably and validly self-report their HRQOL when an age-appropriate measurement instrument is utilized. Pediatric PROs should be considered as the standard for HRQOL measurement in pediatric oncology clinical trials and research in which patient HRQOL is investigated. In this way, the voices of the children will be heard in matters pertaining to their health and well-being. Parent proxy-report should also be considered as complementary, since parents perceptions of their child HRQOL often drives health care utilization, and further provides the opportunity for HRQOL measurement when pediatric patients are unable or unwilling to provide self-report.
| Acknowledgment |
|---|
J.W.V. holds the copyright and the trademark for the PedsQLTM and receives financial compensation from the Mapi Research Trust, which is a nonprofit research institute that charges distribution fees to for-profit companies that use the Pediatric Quality of Life InventoryTM.
Conflict of Interest: None declared.
Received August 31, 2006; revision received January 17, 2007; accepted January 26, 2007
| References |
|---|
Achenbach TM, McConaughy SH, Howell CT. (1987) Child/adolescent behavioral and emotional problems: Implications of cross-informant correlations for situational specificity. Psychological Bulletin 101:213232.[CrossRef][Web of Science][Medline]
Acquadro C, Berzon R, Dubois D, Leidy NK, Marquis P, Revicki D, et al. (2003) Incorporating the patient's perspective into drug development and communication: An ad hoc task force report of the patient-reported outcomes (PRO) harmonization group meeting at the Food and Drug Administration, February 16, 2001. Value in Health 6:522531.
Banthia R, Malcarne VL, Roesch SC, Ko CM, Greensbergs HL, Varni JW, et al. (2006) Correspondence between daily and weekly fatigue reports in breast cancer survivors. Journal of Behavioral Medicine 29:269279.[CrossRef][Web of Science][Medline]
Barakat LP, Alderfer MA, Kazak AE. (2006) Posttraumatic growth in adolescent survivors of cancer and their mothers and fathers. Journal of Pediatric Psychology 31:413419.
Barakat LP, Hetzke JD, Foley B, Carey ME, Gyato K, Phillips PC. (2003) Evaluation of a social-skills training group intervention with children treated for brain tumors: A pilot study. Journal of Pediatric Psychology 28:299307.
Berg-Nielsen TS, Vika A, Dahl AA. (2003) When adolescents disagree with their mothers: CBCL-YSR discrepancies related to maternal depression and adolescent self-esteem. Child: Care, Health and Development 29:207213.[CrossRef][Web of Science][Medline]
Bhat SR, Goodwin TL, Burwinkle TM, Lansdale MF, Dahl GV, Huhn SL, Gibbs IC, Donaldson SS, Rosenblum RK, Varni JW, Fisher PG. (2005) Profile of daily life in children with brain tumors: An assessment of health-related quality of life. Journal of Clinical Oncology 23:54935500.
Campo JV, Comer DM, Jansen-McWilliams L, Gardner W, Kelleher KJ. (2002) Recurrent pain, emotional distress, and health service use in childhood. Journal of Pediatrics 141:7683.[CrossRef][Web of Science][Medline]
Chang P and Yeh C. (2005) Agreement between child self-report and parent proxy-report to evaluate quality of life in children with cancer. Psycho-Oncology 14:125134.[CrossRef][Medline]
Clancy C, McGrath P, Oddson B. (2005) Pain in children and adolescents with spina bifida. Developmental Medicine and Child Neurology 47:2734.[CrossRef][Web of Science][Medline]
Clarke SA and Eiser C. (2004) The measurement of health-related quality of life in pediatric clinical trials: A systematic review. Health and Quality of Life Outcomes 2:15.
Cremeens J, Eiser C, Blades M. (2006a) Characteristics of health-related self-report measures for children aged three to eight years: A review of the literature. Quality of Life Research 15:739754.[CrossRef][Web of Science][Medline]
Cremeens J, Eiser C, Blades M. (2006b) Factors influencing agreement between child self-report and parent proxy-reports on the Pediatric Quality of Life InventoryTM 4.0 (PedsQLTM) Generic Core Scales. Health and Quality of Life Outcomes 4:18.
Dahlquist LM and Pendley JS. (2005) When distraction fails: Parental anxiety and children's responses to distraction during cancer procedures. Journal of Pediatric Psychology 30:623628.
De Clercq B, De Fruyt F, Koot HM, Benoit Y. (2004) Quality of life in children surviving cancer: A personality and multi-informant perspective. Journal of Pediatric Psychology 29:579590.
De Los Reyes A and Kazdin AE. (2004) Measuring informant discrepancies in clinical child research. Psychological Assessment 16:330334.[CrossRef][Web of Science][Medline]
Drotar D, Schwartz L, Palermo TM, Burant C. (2006) Factor structure of the Child Health Questionnaire-Parent Form in pediatric populations. Journal of Pediatric Psychology 31:127138.
Eiser C. (2004) Use of quality of life measures in clinical trials. Ambulatory Pediatrics 4:395399.[CrossRef][Web of Science][Medline]
Eiser C and Morse R. (2001) Can parents rate their child's health-related quality of life? Results from a systematic review. Quality of Life Research 10:347357.[CrossRef][Web of Science][Medline]
FDA. (2006) Guidance for Industry: Patient-reported outcome measures: Use in medical product development to support labeling claims(Center for Drug Evaluation and Research, Food and Drug Administration, Rockville, MD).
Felder-Puig R, diGallo A, Waldenmair M, Norden P, Winter A, Gadner H, et al. (2006) Health-related quality of life of pediatric patients receiving allogeneic stem cell or bone marrow transplantation: Results of a longitudinal, multi-center study. Bone Marrow Transplantation 38:119126.[CrossRef][Web of Science][Medline]
Feldman SI, Downey G, Schaffer-Neitz R. (1999) Pain, negative mood, and perceived support in chronic pain patients: A daily diary study of people with reflex sympathetic dystrophy syndrome. Journal of Consulting and Clinical Psycology 67:776785.
Hays RM, Valentine J, Haynes G, Geyer JR, Villareale N, McKinstry B, et al. (2006) The Seattle Pediatric Palliative Care Project: Effects on family satisfaction and health-related quality of life. Journal of Palliative Medicine 9:716728.[CrossRef][Web of Science][Medline]
Helton SC, Corwyn RF, Bonner MJ, Brown RT, Mulhern RK. (2006) Factor analysis and validity of the Conners Parent and Teacher Rating Scales in childhood cancer survivors. Journal of Pediatric Psychology 31:200208.
Hinds RS, Hockenberry M, Feusner J, Hord JD, Rackoff W, Rozzouk BJ. (2005) Hemoglobin response and improvements in quality of life in anemic children with cancer receiving myelosuppressive chemotherapy. Journal of Supportive Oncology 3:Suppl 4, 1011.
Jaeschke R, Singer J, Guyatt GH. (1989) Measurement of health status: Ascertaining the minimal clinically important difference. Controlled Clinical Trials 10:407415.[CrossRef][Web of Science][Medline]
Janicke DM, Finney JW, Riley AW. (2001) Children's health care use: A prospective investigation of factors related to care-seeking. Medical Care 39:9901001.[CrossRef][Web of Science][Medline]
Johnston CA, Steele RG, Herrera EA, Phipps S. (2003) Parent and child reporting of negative life events: Discrepancy and agreement across pediatric samples. Journal of Pediatric Psychology 28:579588.
Klosky JL, Tyc VL, Srivastava DK, Tong X, Kronenberg M, Booker ZJ, et al. (2004) Brief report: Evaluation of an interactive intervention designed to reduce pediatric distress during radiation therapy procedures. Journal of Pediatric Psychology 29:621626.
Levi RB and Drotar D. (1999) Health-related quality of life in childhood cancer: Discrepancy in parentchild reports. International Journal of Cancer 12:5864.
Matza LS, Swensen AR, Flood EM, Secnik K, Leidy NK. (2004) Assessment of health-related quality of life in children: A review of conceptual, methodological, and regulatory issues. Value in Health 7:7992.
McGrath PA. (1990) Pain in children: Nature, assessment, and treatment(Guilford, New York).
Mulhern RK, Ochs J, Armstrong D, Horowitz M, Friedman A, Copeland D, et al. (1989) Assessment of quality of life among pediatric patients with cancer. Psychological Assessment 1:130138.
Nathan PC, Furlong W, Barr RD. (2004) Challenges to the measurement of health-related quality of life in children receiving cancer therapy. Pediatric Blood and Cancer 43:215223.
Palmer SN, Meeske KA, Katz ER, Burwinkle TM, Varni JW. (in press) The PedsQLTM Brain Tumor Module: Initial reliability and validity. Pediatric Blood and Cancer.
Parsons SK, Shih M, DuHamel KN, Ostroff J, Mayer DK, Austin J, et al. (2006) Maternal perspectives on children's health-related quality of life during the first year after pediatric hematopoietic stem cell transplant. Journal of Pediatric Psychology 31:11001115.
Patrick DL and Deyo RA. (1989) Generic and disease-specific measures in assessing health status and quality of life. Medical Care 27:S217S233.[Web of Science][Medline]
Phipps S, Larson S, Long A, Rai SN. (2006) Adaptive style and symptoms of posttraumatic stress in children with cancer and their parents. Journal of Pediatric Psychology 31:298309.
Razzouk BI, Hord JD, Hockenberry M, Hinds PS, Feusner J, Williams D, et al. (2006) Double-blind, placebo-controlled study of quality of life, hematologic end points, and safety of weekly epoetin alfa in children with cancer receiving myelosuppressive chemotherapy. Journal of Clinical Oncology 24:35833589.
Reeves CB, Palmer SL, Reddick WE, Merchant TE, Buchanan GM, Gajjar A, et al. (2006) Attention and memory functioning among pediatric patients with medulloblastoma. Journal of Pediatric Psychology 31:272280.
Richters JE. (1992) Depressed mothers as informants about their children: A critical review of the evidence for distortion. Psychological Bulletin 112:485499.[CrossRef][Web of Science][Medline]
Russell KMW, Hudson M, Long A, Phipps S. (2006) Assessment of health-related quality of life in children with cancer: Consistency and agreement between parent and child reports. Cancer 106:22672274.[CrossRef][Web of Science][Medline]
Schwartz L and Drotar D. (2006) Posttraumatic stress and related impairment in survivors of childhood cancer in early adulthood compared to healthy peers. Journal of Pediatric Psychology 31:356366.
Sherman SA, Eisen S, Burwinkle TM, Varni JW. (2006) The PedsQLTM Present Functioning Visual Analogue Scales: Preliminary reliability and validity. Health and Quality of Life Outcomes 4:110.
Sprangers MAG and Aaronson NK. (1992) The role of health care providers and significant others in evaluating the quality of life of patients with chronic disease: A review. Journal of Clinical Epidemiology 45:743760.[CrossRef][Web of Science][Medline]
Sprangers MAG, Cull A, Bjordal K, Groenvold M, Aaronson NK. (1993) The European organization for research and treatment of cancer approach to quality of life assessment: Guidelines for developing questionnaire modules. Quality of Life Research 2:287295.[CrossRef][Web of Science][Medline]
Steele RG, Dreyer ML, Phipps S. (2004) Patterns of maternal distress among children with cancer and their association with child emotional and somatic distress. Journal of Pediatric Psychology 29:507517.
Stone AA and Shiffman S. (1994) Ecological momentary assessment (EMA) in behavioral medicine. Annals of Behavioral Medicine 16:199202.
Stoppelbein LA, Greening L, Elkin TD. (2006) Risk of posttraumatic stress symptoms: A comparison of child survivors of pediatric cancer and parental bereavement. Journal of Pediatric Psychology 31:367376.
Theunissen NCM, Vogels TGC, Koopman HM, Verrips GHW, Zwinderman KAH, Verloove-Vanhorick SP, et al. (1998) The proxy problem: Child report versus parent report in health-related quality of life research. Quality of Life Research 7:387397.[CrossRef][Web of Science][Medline]
Tyc VL, Lensing S, Klosky J, Rai SN, Robinson L. (2005) A comparison of tobacco-related risk factors between adolescents with and without cancer. Journal of Pediatric Psychology 30:359370.
Vance YH, Morse RC, Jenney ME, Eiser C. (2001) Issues in measuring quality of life in childhood cancer: Measures, proxies, and parental mental health. Journal of Child Psychology and Psychiatry 42:661667.[CrossRef][Web of Science][Medline]
Varni JW and Bernstein BH. (1991) Evaluation and management of pain in children with rheumatic diseases. Rheumatic Disease Clinics of North America 17:9851000.[Medline]
Varni JW, Burwinkle TM, Katz ER, Meeske K, Dickinson P. (2002) The PedsQLTM in pediatric cancer: Reliability and validity of the Pediatric Quality of Life InventoryTM Generic Core Scales, multidimensional fatigue scale, and cancer module. Cancer 94:20902106.[CrossRef][Web of Science][Medline]
Varni JW, Burwinkle TM, Lane MM. (2005) Health-related quality of life measurement in pediatric clinical practice: An appraisal and precept for future research and application. Health and Quality of Life Outcomes 34:19.
Varni JW, Burwinkle TM, Seid M. (2006) The PedsQLTM 4.0 as a school population health measure: Feasibility, reliability, and validity. Quality of Life Research 15:203215.[CrossRef][Web of Science][Medline]
Varni JW, Burwinkle TM, Seid M, Skarr D. (2003) The PedsQLTM 4.0 as a pediatric population health measure: Feasibility, reliability, and validity. Ambulatory Pediatrics 3:329341.[CrossRef][Web of Science][Medline]
Varni JW, Katz ER, Colegrove R, Dolgin M. (1995) Adjustment of children with newly diagnosed cancer: Cross-informant variance. Journal of Psychosocial Oncology 13:2338.
Varni JW, Katz ER, Seid M, Quiggins DJL, Friedman-Bender A, Castro CM. (1998) The Pediatric Cancer Quality of Life Inventory (PCQL): I. Instrument development, descriptive statistics, and cross-informant variance. Journal of Behavioral Medicine 21:179204.[CrossRef][Web of Science][Medline]
Varni JW, Limbers CA, Burwinkle TM. (2007a) How young can children reliably and validly self-report their health-related quality of life? An analysis of 8,591 children across age subgroups with the PedsQLTM 4.0 Generic Core Scales. Health and Quality of Life Outcomes 5:113.
Varni JW, Limbers CA, Burwinkle TM. (2007b) Parent proxy-report of their children's health-related quality of life: An analysis of 13,878 parents reliability and validity across age subgroups using the PedsQLTM 4.0 Generic Core Scales. Health and Quality of Life Outcomes 5:110.
Varni JW, Seid M, Kurtin PS. (2001) PedsQLTM 4.0: Reliability and validity of the Pediatric Quality of Life InventoryTM Version 4.0 Generic Core Scales in healthy and patient populations. Medical Care 39:800812.[CrossRef][Web of Science][Medline]
Varni JW, Seid M, Rode CA. (1999) The PedsQLTM: Measurement model for the Pediatric Quality of Life Inventory. Medical Care 37:126139.[CrossRef][Web of Science][Medline]
Varni JW and Setoguchi Y. (1992) Screening for behavioral and emotional problems in children and adolescents with congenital or acquired limb deficiencies. American Journal of Diseases of Children 146:103107.
Varni JW, Thompson KL, Hanson V. (1987) The Varni/Thompson Pediatric Pain Questionnaire: I. Chronic musculoskeletal pain in juvenile rheumatoid arthritis. Pain 28:2738.[CrossRef][Web of Science][Medline]
Willke RJ, Burke LB, Erickson P. (2004) Measuring treatment impact: A review of patient-reported outcomes and other efficacy endpoints in approved product labels. Controlled Clinical Trials 25:535552.[CrossRef][Web of Science][Medline]
World Health Organization. (1948) Constitution of the World Health Organization: Basic document(World Health Organization, Geneva, Switzerland).
Wyrwich K, Tierney W, Wolinsky F. (1999) Further evidence supporting an SEM-based criterion for identifying meaningful intra-individual changes in health-related quality of life. Journal of Clinical Epidemiology 52:861873.[CrossRef][Web of Science][Medline]
Wyrwich K, Tierney W, Wolinsky F. (2002) Using the standard error of measurement to identify important changes on the Asthma Quality of Life Questionnaire. Quality of Life Research 11:17.[CrossRef][Web of Science][Medline]
Yeh CH, Chang CW, Chang PC. (2005) Evaluating quality of life in children with cancer using children's self-reports and parent-proxy reports. Nursing Research 54:354362.[CrossRef][Web of Science][Medline]
![]()
CiteULike
Connotea
Del.icio.us What's this?
This article has been cited by other articles:
![]() |
N. A Williams, G. Davis, M. Hancock, and S. Phipps Optimism and Pessimism in Children with Cancer and Healthy Children: Confirmatory Factor Analysis of the Youth Life Orientation Test and Relations with Health-Related Quality of Life J. Pediatr. Psychol., October 1, 2009; (2009) jsp084v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. T. F. Lau, X.-n. Yu, Y. Chu, M. M. K. Shing, E. M. C. Wong, T. F. Leung, C. K. Li, T. F. Fok, and W. W. S. Mak Validation of the Chinese version of the Pediatric Quality of Life InventoryTM (PedsQLTM) Cancer Module J. Pediatr. Psychol., May 6, 2009; (2009) jsp035v1. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. M. Palermo, A. C. Long, A. S. Lewandowski, D. Drotar, A. L. Quittner, and L. S. Walker Evidence-based Assessment of Health-related Quality of Life and Functional Impairment in Pediatric Psychology J. Pediatr. Psychol., October 1, 2008; 33(9): 983 - 996. [Abstract] [Full Text] [PDF] |
||||
![]() |
L. Kun and R. T. Brown Introduction to the Special Issue: A Tribute to the Life of Raymond K. Mulhern J. Pediatr. Psychol., October 1, 2007; 32(9): 1025 - 1028. [Full Text] [PDF] |
||||
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
