Literature DB >> 9659946

Evaluation of quality of life of childhood cancer survivors: a methodological conundrum.

S K Parsons1, A P Brown.   

Abstract

QOL assessment in pediatric oncology is seriously understudied, especially compared with the adult population. The limited progress is due to the methodological complexity of the task, which should not be viewed as insurmountable. Given a precise study question, the methodological issues can be clarified simply, piece by piece. Researchers must consider very carefully the specific characteristics that define a study population in order to choose an instrument that is domain-appropriate and valid for the assessment paradigm. The first priority should be that a researcher must identify the means of accessing the information of interest. In the pediatric population, information about children's status may be elicited from parents, medical personnel, teachers, or the children themselves. Clearly, the type of instrument to be used for assessment is dependent on the choice of reporter. Researchers must also account for developmental age and disease; in assessing generic and disease-specific functioning, the "functional scale" against which an individual is compared must implicitly reflect the types of activities and/or levels of functioning that are realistic norms for the patient. Equally important is the analysis of independent domains in order to characterize the dynamics/divergence of clinical status and functional status. What are the merits of conducting QOL research for the pediatric cancer-survivor population? The policy implications are profound and pervasive both for the individual survivors (regarding treatment, care, and his/her ultimate ability to reintegrate into society) and for society (regarding resource allocation, cost planning, and productivity). Commensurate with the rapid advancement of oncologic therapy, there is now an expanding cohort of pediatric cancer survivors. Current estimates suggest that, by the turn of the century, 200,000 children will be in this category. The long-term survivorship of this cohort is still poorly defined. However, as the survivors mature, it is likely that their needs will evolve as well-whether for treatment of secondary malignancies, long-term morbidities, and fertility issues or for neuropsychological dysfunction, emotional counseling, or occupational issues. Children, as survivors, are unique, in that their future (the context within which long-term outcome is defined) spans decades. Based on a median age at diagnosis of 6 years, survivors can expect to live an additional 66 years. From a cost or policy perspective, children represent enormous future potential. The implications of children's long-term outcomes must be considered regarding the change in future potential secondary to survivorship. Pediatric QOL research plays a role both inside and outside the health care system. Clearly, in the provision of health care, QOL data may be used to improve or modify patient care by supplementing information about the clinical status of individual patients. Information about an individual's general functioning, particularly as it diverges from disease-specific functioning, complements clinical data to facilitate comprehensive care. Information about the long-term outcomes of pediatric cancer, as a whole, will influence the policies of health care institutions and the allocation of health care resources. By expanding the scope of survivorship (or cure) to include long-term clinical and general "costs" the "cost of cure" is shifted: this shift will ultimately impact estimations of cost effectiveness, with ramifications for the evaluation of hospital-wide protocols, utilization priorities, and cost policies. Outside of the hospital, the implications of QOL research are equally ubiquitous. Pediatric survivors will live an estimated 7 decades after "cure," during which time they will exist almost entirely outside the realm of health care; yet, their condition as a survivor, with or without the long-term clinical toxicities secondary to treatment, will continue to affect some or all of thei

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Mesh:

Year:  1998        PMID: 9659946     DOI: 10.1002/(sici)1096-911x(1998)30:1+<46::aid-mpo7>3.0.co;2-x

Source DB:  PubMed          Journal:  Med Pediatr Oncol        ISSN: 0098-1532


  12 in total

1.  Quality of life as conveyed by pediatric patients with cancer.

Authors:  P S Hinds; J S Gattuso; A Fletcher; E Baker; B Coleman; T Jackson; A Jacobs-Levine; D June; S N Rai; S Lensing; C H Pui
Journal:  Qual Life Res       Date:  2004-05       Impact factor: 4.147

2.  Preliminary psychometric evaluation of the Child Health Ratings Inventory (CHRIs) and Disease-Specific Impairment Inventory-Hematopoietic Stem Cell Transplantation (DSII-HSCT) in parents and children.

Authors:  S K Parsons; M C Shih; D K Mayer; S E Barlow; S E Supran; S L Levy; S Greenfield; S H Kaplan
Journal:  Qual Life Res       Date:  2005-08       Impact factor: 4.147

Review 3.  Psychological status in childhood cancer survivors: a report from the Childhood Cancer Survivor Study.

Authors:  Lonnie K Zeltzer; Christopher Recklitis; David Buchbinder; Bradley Zebrack; Jacqueline Casillas; Jennie C I Tsao; Qian Lu; Kevin Krull
Journal:  J Clin Oncol       Date:  2009-03-02       Impact factor: 44.544

4.  Developing a health-related quality of life instrument for childhood brain tumor survivors.

Authors:  Jin-Shei Lai; David Cella; Tadanori Tomita; Rita K Bode; Monica Newmark; Stewart Goldman
Journal:  Childs Nerv Syst       Date:  2006-09-08       Impact factor: 1.475

5.  Self-reported health-related quality of life of children and adolescent survivors of extracranial childhood malignancies: a Finnish nationwide survey.

Authors:  Susanna Mört; Sanna Salanterä; Jaakko Matomäki; Toivo T Salmi; Päivi M Lähteenmäki
Journal:  Qual Life Res       Date:  2010-11-20       Impact factor: 4.147

6.  Impact of psychological and cancer-related factors on HRQoL for Korean childhood cancer survivors.

Authors:  Myung Ah Rhee; Kyong Mee Chung; Yuri Lee; Hana K Choi; Jung Woo Han; Hyo Sun Kim; Sun Hee Kim; Yoon Jung Shin; Chuhl Joo Lyu
Journal:  Qual Life Res       Date:  2014-05-11       Impact factor: 4.147

7.  Validation of the German version of the Pediatric Quality of Life Inventory (PedsQL) in childhood cancer patients off treatment and children with epilepsy.

Authors:  R Felder-Puig; E Frey; K Proksch; J W Varni; H Gadner; R Topf
Journal:  Qual Life Res       Date:  2004-02       Impact factor: 4.147

Review 8.  Primary Care Physicians' Perspectives of Their Role in Cancer Care: A Systematic Review.

Authors:  Renae A Lawrence; Jordana K McLoone; Claire E Wakefield; Richard J Cohn
Journal:  J Gen Intern Med       Date:  2016-05-24       Impact factor: 5.128

9.  Comparing parents' and children's views of children's quality of life after heart transplant.

Authors:  Angela L Green; Jean McSweeney; Kathy Ainley; Janet Bryant
Journal:  J Spec Pediatr Nurs       Date:  2009-01       Impact factor: 1.260

10.  Health related quality of life assessment in Pakistani paediatric cancer patients using PedsQL™ 4.0 generic core scale and PedsQL™ cancer module.

Authors:  Zainab Chaudhry; Salma Siddiqui
Journal:  Health Qual Life Outcomes       Date:  2012-05-18       Impact factor: 3.186

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