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Kallio M, Tornivuori A, Miettinen PJ, Kolho KL, Relas H, Culnane E, Loftus H, Sawyer SM, Kosola S. Health-related quality of life and self-reported health status in adolescents with chronic health conditions before transfer of care to adult health care: an international cohort study. BMC Pediatr 2024; 24:163. [PMID: 38459510 PMCID: PMC10921592 DOI: 10.1186/s12887-024-04629-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 02/07/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Heath-related quality of life (HRQoL) is lower in adolescents with chronic health conditions compared to healthy peers. While there is evidence of some differences according to the underlying condition and gender, differences by measure and country are poorly understood. In this study we focus on the differences in HRQoL in adolescents with various chronic medical conditions in the year before transfer of care to adult health services. We also study the associations of two different HRQoL measurements to each other and to self-reported health. METHODS We recruited 538 adolescents from New Children`s Hospital, Helsinki, Finland, and the Royal Children`s Hospital, Melbourne, Australia in 2017-2020. We used two validated HRQoL measurement instruments, Pediatric Quality of Life Inventory (PedsQL) and 16D, and a visual analog scale (VAS) for self-reported health status. RESULTS In total, 512 adolescents (50.4% female, mean age 17.8 [SD 1.2] years), completed the survey measures. Higher HRQoL was reported in males than females in both countries (PedsQL 79.4 vs. 74.1; 16D 0.888 vs. 0.846), and in adolescents from Finland than Australia (80.6 vs. 72.2 and 0.905 vs. 0.825, p < 0.001 for all). Adolescents with diabetes, rheumatological, nephrological conditions and/or organ transplants had higher HRQoL than adolescents with neurological conditions or other disease syndromes (p < 0.001). PedsQL and 16D scores showed a strong correlation to each other (Spearman correlation coefficient r = 0.81). Using the 7-point VAS (1-7), 52% (248 of 479) considered their health status to be good (6-7) and 10% (48 of 479) rated it poor (1-2). Better self-reported health was associated with higher HRQoL. CONCLUSIONS The HRQoL of transition aged adolescents varies between genders, diagnostic groups, and countries of residence. The association between self-reported health and HRQoL suggests that brief assessment using the VAS could identify adolescents who may benefit from in-depth HRQoL evaluation. TRIAL REGISTRATION Trial registration name The Bridge and registration number NCT04631965 ( https://clinicaltrials.gov/ct2/show/NCT04631965 ).
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Affiliation(s)
- Mira Kallio
- Department of Pediatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
- Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
| | - Anna Tornivuori
- Department of Nursing Science, University of Turku, Turku, Finland
- Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Päivi J Miettinen
- Department of Pediatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Kaija-Leena Kolho
- Department of Pediatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Heikki Relas
- Department of Rheumatology, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Evelyn Culnane
- Transition Support Service, The Royal Children's Hospital, Melbourne, Australia
| | - Hayley Loftus
- Transition Support Service, The Royal Children's Hospital, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Australia
| | - Susan M Sawyer
- Centre for Adolescent Health, Royal Children's Hospital, Melbourne, Australia
- Murdoch Children's Research Institute, Melbourne, Australia
- Department of Paediatrics, The University of Melbourne, Melbourne, Australia
| | - Silja Kosola
- Department of Pediatrics, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Pediatric Research Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Research, Development and Innovations, Western Uusimaa Wellbeing Services County, Espoo, Finland
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Shuai J, Cui Y, Zhou F, Yang W, Ma Y, Yan Y. Health related quality of life in pediatric hematological malignancies patients and survivors: A meta-analysis of comparative studies. J Psychosom Res 2024; 177:111568. [PMID: 38113797 DOI: 10.1016/j.jpsychores.2023.111568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 11/15/2023] [Accepted: 12/10/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Pediatric patients with hematologic malignancies (HM) and survivors are at high risk for numerous negative effects including decreased health-related quality of life (HRQOL). In order to understand the association between HM and QOL, we conducted this meta-analysis to systematically compare QOL between pediatric HM patients and survivors and controls. METHOD The PubMed, EMBASE, Web of Science and the Cochrane Library databases were systematically searched. Data were analyzed using the random-effects model. RESULTS Of 6586 unique articles identified, 30 were included in this meta-analysis. Studies described 12 different HRQOL tools. Different QOL measures varied in their association with quality of life. When compared with Non-HM group, the Pediatric Quality of Life Inventory (PedsQL) has a moderate effect size (standard mean difference, SMD = 0.50, 95% CI: 0.32, 0.68; P < 0.001). When compared with health controls, it has a large effect size (SMD = -1.00, 95% CI: -1.47, -0.53; P < 0.001). In addition, Health utilities index mark (HUI), and the Pediatric Oncology Quality of Life Scale (POQOLS) have a large (SMD = -0.81, 95% CI: -1.29, -0.33; P = 0.001) and a small (SMD = -0.10, 95% CI: -0.42, 0.22; P = 0.534) effect sizes when comparing overall controls. CONCLUSION Pediatric HM patients and survivors had lower QOL compared with healthy controls and higher QOL compared with Non-HM controls in most domains. Considering the negative impact of poor QOL on daily life and functional outcomes, future research should focus on proposing effective measures to improve QOL of this population.
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Affiliation(s)
- Jingliang Shuai
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yiran Cui
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Feixiang Zhou
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Wenyan Yang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yulan Ma
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yan Yan
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China.
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Bourdeau C, Lippé S, Robaey P, Rondeau É, Krajinovic M, Sinnett D, Laverdière C, Sultan S. Contributing factors to well-being in a sample of long-term survivors of childhood acute lymphoblastic leukemia: the role of social support in emotional regulation. Health Psychol Behav Med 2024; 12:2301550. [PMID: 38239926 PMCID: PMC10795780 DOI: 10.1080/21642850.2023.2301550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Accepted: 12/26/2023] [Indexed: 01/22/2024] Open
Abstract
Objectives: To understand why some long-term childhood cancer survivors experience positive adjustment in the long run,[Q1] this study aimed to (1) explore associations between well-being, health status, social support, and emotion regulation (ER) strategies in a cohort of long-term childhood lymphoblastic leukemia (cALL) survivors, (2) identify the individual contribution of each ER strategy to well-being (3) and their interaction with social support. Methods: We used data from 92 participants from the PETALE cohort (51% female, aged 24 ± 7 years). Measures included well-being (WHO-5), health status (15D), social support (SSQ-6), cognitive reappraisal and expressive suppression (ERQ), and emotional processing and expression (EAC). We modeled the odds of high well-being adjusting for health status in logistic regressions and explored the moderating role of social support with bootstrap techniques. Independent of clinical history, high well-being was associated with better health status, higher social support, more frequent use of cognitive reappraisal and emotional processing. Results: We found a main contribution of emotional processing to well-being (OR = 2.12, 95% CI = 1.09-5.37). The interaction between low suppression and high social support was significant (OR = .40, 95% CI = .13-.79). Probabilities for high well-being were 96% when expressive suppression was low and social support was high. Results suggest approaching one's own emotions may contribute to well-being in long-term childhood cancer survivors. Clinical implications: Combining curbing emotional suppression with promoting supportive social environment could be a promising target for future supportive care interventions in survivors.
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Affiliation(s)
- Camille Bourdeau
- Department of Psychology, Université de Montréal, Montreal, Canada
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
| | - Sarah Lippé
- Department of Psychology, Université de Montréal, Montreal, Canada
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
| | - Philippe Robaey
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
| | - Émélie Rondeau
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
| | - Maja Krajinovic
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
- Department of Pediatrics, Université de Montréal, Montreal, Canada
| | - Daniel Sinnett
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
- Department of Pediatrics, Université de Montréal, Montreal, Canada
| | - Caroline Laverdière
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
- Department of Pediatrics, Université de Montréal, Montreal, Canada
| | - Serge Sultan
- Department of Psychology, Université de Montréal, Montreal, Canada
- Research Centre, Sainte-Justine University Health Centre, Montreal, Canada
- Department of Pediatrics, Université de Montréal, Montreal, Canada
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Kwon J, Smith S, Raghunandan R, Howell M, Huynh E, Kim S, Bentley T, Roberts N, Lancsar E, Howard K, Wong G, Craig J, Petrou S. Systematic Review of the Psychometric Performance of Generic Childhood Multi-attribute Utility Instruments. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2023; 21:559-584. [PMID: 37133712 DOI: 10.1007/s40258-023-00806-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/21/2023] [Indexed: 05/04/2023]
Abstract
BACKGROUND Childhood multi-attribute utility instruments (MAUIs) can be used to measure health utilities in children (aged ≤ 18 years) for economic evaluation. Systematic review methods can generate a psychometric evidence base that informs their selection for application. Previous reviews focused on limited sets of MAUIs and psychometric properties, and only on evidence from studies that directly aimed to conduct psychometric assessments. OBJECTIVE This study aimed to conduct a systematic review of psychometric evidence for generic childhood MAUIs and to meet three objectives: (1) create a comprehensive catalogue of evaluated psychometric evidence; (2) identify psychometric evidence gaps; and (3) summarise the psychometric assessment methods and performance by property. METHODS A review protocol was registered with the Prospective Register of Systematic Reviews (PROSPERO; CRD42021295959); reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline. The searches covered seven academic databases, and included studies that provided psychometric evidence for one or more of the following generic childhood MAUIs designed to be accompanied by a preference-based value set (any language version): 16D, 17D, AHUM, AQoL-6D, CH-6D, CHSCS-PS, CHU9D, EQ-5D-Y-3L, EQ-5D-Y-5L, HUI2, HUI3, IQI, QWB, and TANDI; used data derived from general and/or clinical childhood populations and from children and/or proxy respondents; and were published in English. The review included 'direct studies' that aimed to assess psychometric properties and 'indirect studies' that generated psychometric evidence without this explicit aim. Eighteen properties were evaluated using a four-part criteria rating developed from established standards in the literature. Data syntheses identified psychometric evidence gaps and summarised the psychometric assessment methods/results by property. RESULTS Overall, 372 studies were included, generating a catalogue of 2153 criteria rating outputs across 14 instruments covering all properties except predictive validity. The number of outputs varied markedly by instrument and property, ranging from 1 for IQI to 623 for HUI3, and from zero for predictive validity to 500 for known-group validity. The more recently developed instruments targeting preschool children (CHSCS-PS, IQI, TANDI) have greater evidence gaps (lack of any evidence) than longer established instruments such as EQ-5D-Y, HUI2/3, and CHU9D. The gaps were prominent for reliability (test-retest, inter-proxy-rater, inter-modal, internal consistency) and proxy-child agreement. The inclusion of indirect studies (n = 209 studies; n = 900 outputs) increased the number of properties with at least one output of acceptable performance. Common methodological issues in psychometric assessment were identified, e.g., lack of reference measures to help interpret associations and changes. No instrument consistently outperformed others across all properties. CONCLUSION This review provides comprehensive evidence on the psychometric performance of generic childhood MAUIs. It assists analysts involved in cost-effectiveness-based evaluation to select instruments based on the application-specific minimum standards of scientific rigour. The identified evidence gaps and methodological issues also motivate and inform future psychometric studies and their methods, particularly those assessing reliability, proxy-child agreement, and MAUIs targeting preschool children.
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Affiliation(s)
- Joseph Kwon
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Sarah Smith
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, London, UK
| | | | - Martin Howell
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Elisabeth Huynh
- Department of Health Services Research and Policy, Australian National University, Canberra, ACT, Australia
| | - Sungwook Kim
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Thomas Bentley
- Medical Sciences Division, University of Oxford, Oxford, UK
| | - Nia Roberts
- Bodleian Health Care Libraries, University of Oxford, Oxford, UK
| | - Emily Lancsar
- Department of Health Services Research and Policy, Australian National University, Canberra, ACT, Australia
| | - Kirsten Howard
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Germaine Wong
- School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - Jonathan Craig
- College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia
| | - Stavros Petrou
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
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