Aixia Ma1,2, Pingyu Chen3,4, Mingyu Jiang5, Yue Ma5, Minghui Li6, Rui Meng5. 1. Department of Health Economics, China Pharmaceutical University, Nanjing, China. maaixia86128@163.com. 2. Center for Pharmacoeconomics and Outcomes Research, China Pharmaceutical University, Nanjing, China. maaixia86128@163.com. 3. Department of Health Economics, China Pharmaceutical University, Nanjing, China. chenpingyu220@163.com. 4. Center for Pharmacoeconomics and Outcomes Research, China Pharmaceutical University, Nanjing, China. chenpingyu220@163.com. 5. Department of Health Economics, China Pharmaceutical University, Nanjing, China. 6. Department of Clinical Pharmacy and Translational Science, University of Tennessee Health Science Center, Memphis, USA.
Abstract
OBJECTIVE: This study aimed to conduct a systematic review and meta-analysis to compare differences in health utilities (HUs) assessed by self and proxy respondents in children, as well as to evaluate the effects of health conditions, valuation methods, and proxy types on the differences. METHODS: Eligible studies published in PubMed, Embase, Web of Science, and Cochrane Library up to December 2019 were identified according to PRISMA guidelines. Meta-analyses were performed to calculate the weighted mean differences (WMDs) in HUs between proxy- versus self-reports. Mixed-effects meta-regressions were applied to explore differences in WMDs among each health condition, valuation method and proxy type. RESULTS: A total of 30 studies were finally included, comprising 211 pairs of HUs assessed by 15,294 children and 16,103 proxies. This study identified 34 health conditions, 10 valuation methods, and 3 proxy types. In general, proxy-reported HUs were significantly different from those assessed by children themselves, while the direction and magnitude of these differences were inconsistent regarding health conditions, valuation methods, and proxy types. Meta-regression demonstrated that WMDs were significantly different in patients with ear diseases relative to the general population; in those measured by EQ-5D, Health utility index 2 (HUI2), and Pediatric asthma health outcome measure relative to Visual analogue scale method; while were not significantly different in individuals adopting clinician-proxy and caregiver-proxy relative to parent-proxy. CONCLUSION: Divergence existed in HUs between self and proxy-reports. Our findings highlight the importance of selecting appropriate self and/or proxy-reported HUs in health-related quality of life measurement and economic evaluations.
OBJECTIVE: This study aimed to conduct a systematic review and meta-analysis to compare differences in health utilities (HUs) assessed by self and proxy respondents in children, as well as to evaluate the effects of health conditions, valuation methods, and proxy types on the differences. METHODS: Eligible studies published in PubMed, Embase, Web of Science, and Cochrane Library up to December 2019 were identified according to PRISMA guidelines. Meta-analyses were performed to calculate the weighted mean differences (WMDs) in HUs between proxy- versus self-reports. Mixed-effects meta-regressions were applied to explore differences in WMDs among each health condition, valuation method and proxy type. RESULTS: A total of 30 studies were finally included, comprising 211 pairs of HUs assessed by 15,294 children and 16,103 proxies. This study identified 34 health conditions, 10 valuation methods, and 3 proxy types. In general, proxy-reported HUs were significantly different from those assessed by children themselves, while the direction and magnitude of these differences were inconsistent regarding health conditions, valuation methods, and proxy types. Meta-regression demonstrated that WMDs were significantly different in patients with ear diseases relative to the general population; in those measured by EQ-5D, Health utility index 2 (HUI2), and Pediatric asthma health outcome measure relative to Visual analogue scale method; while were not significantly different in individuals adopting clinician-proxy and caregiver-proxy relative to parent-proxy. CONCLUSION: Divergence existed in HUs between self and proxy-reports. Our findings highlight the importance of selecting appropriate self and/or proxy-reported HUs in health-related quality of life measurement and economic evaluations.
Entities:
Keywords:
Children; Health utility; Meta-analysis; Proxy; Quality of life
Authors: Raphaële R L van Litsenburg; Annemieke Kunst; Jaap Huisman; Johannes C F Ket; Gertjan J L Kaspers; Reinoud J B J Gemke Journal: Med Decis Making Date: 2013-07-25 Impact factor: 2.583
Authors: Joyce M Lee; Kirsten Rhee; Michael J O'grady; Anirban Basu; Aaron Winn; Priya John; David O Meltzer; Craig Kollman; Lori M Laffel; Jean M Lawrence; William V Tamborlane; Tim Wysocki; Dongyuan Xing; Elbert S Huang Journal: Med Care Date: 2011-10 Impact factor: 2.983
Authors: H I Brunner; D Maker; B Grundland; N L Young; V Blanchette; A M Stain; B M Feldman Journal: Med Decis Making Date: 2003 Jul-Aug Impact factor: 2.583
Authors: Mark Fluchel; John R Horsman; William Furlong; Luis Castillo; Yasmine Alfonz; Ronald D Barr Journal: Pediatr Blood Cancer Date: 2008-04 Impact factor: 3.167
Authors: Karin M Vermeulen; Daniëlle E M C Jansen; Erik Buskens; Erik J Knorth; Sijmen A Reijneveld Journal: BMC Psychiatry Date: 2017-06-02 Impact factor: 3.630