Health and Quality of Life Outcomes最新文献

{"title":"Comparison of the measurement properties and consistency between the EQ-5D-3L and EQ-5D-Y-3L in adolescents aged 15-17 in China.","authors":"Jiefu Wang, Tianqi Hong, Haoran Fang, Chang Luo, Xiaoning He, Shitong Xie","doi":"10.1186/s12955-024-02275-6","DOIUrl":"10.1186/s12955-024-02275-6","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate and compare the measurement properties and consistency between the Chinese versions of EQ-5D-3L and EQ-5D-Y-3L among Chinese adolescent populations aged 15-17 years.</p><p><strong>Methods: </strong>Chinese adolescents aged 15-17 studying in high school were recruited through online survey. Social-demographic characteristics and self-reported EQ-5D-3L and EQ-5D-Y-3L responses were collected in the survey. The consistency of responses between the two measures was assessed using redistribution property, and the consistency of utility values was assessed by intraclass correlation coefficients (ICC). Convergent validity and known-group validity were examined using Spearman's rank correlation, F-test and effect sizes, respectively. Sensitivity was compared using relative efficiency (RE).</p><p><strong>Results: </strong>762 respondents (48.8% male; age 15-17 years;) were recruited. The EQ-5D-3L showed a more severe ceiling effect than EQ-5D-Y-3L (78.2% vs. 66.0%). Respondents reported higher proportions of having problems in four dimensions using the EQ-5D-Y-3L than using the EQ-5D-3L. The consistency of corresponding dimensions between the two measures was relatively good, while non-negligible proportions of inconsistency were observed in \"pain/discomfort\" (11.4%) and \"anxiety/depression\" (15.7%) dimensions. The ICC of the utility values between the EQ-5D-3L and EQ-5D-Y-3L was 0.852 (p < 0.001). The Spearman's rank correlation (range: 0.385-0.620) indicated an acceptable convergent validity between the correlative dimensions of the EQ-5D-3L and EQ-5D-Y-3L. The EQ-5D-Y-3L had a higher efficiency than the EQ-5D-3L at detecting differences across EQ VAS subgroups (ES = 1.793 for EQ-5D-3L, ES = 1.920 for EQ-5D-Y-3L). Mixed results were observed in sensitivity.</p><p><strong>Conclusions: </strong>Both the EQ-5D-3L and EQ-5D-Y-3L are demonstrated to be valid and generally consistent for measuring HRQoL among adolescents aged 15-17 years in China. Respondents reported higher proportions of having problems using the EQ-5D-Y-3L than using the EQ-5D-3L. More research is warranted to compare the discriminant validity and test-retest reliability between the two measures.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"59"},"PeriodicalIF":3.2,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11287842/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141792383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health and disability - a multi-group latent class analysis of the World Health Organization Disability Assessment Schedule 2.0 among those with mental and physical health conditions.","authors":"Vanessa Seet, Edimansyah Abdin, Anitha Jeyagurunathan, Tan Sing Chik, Lum Joon Kit, Lee Eng Sing, Swapna Verma, Wei Ker-Chiah, Pamela Ng, Mythily Subramaniam","doi":"10.1186/s12955-024-02273-8","DOIUrl":"10.1186/s12955-024-02273-8","url":null,"abstract":"<p><strong>Background: </strong>This study aims to identify disability classes among people with schizophrenia spectrum disorder, depression, anxiety or diabetes via the WHODAS 2.0; investigate the invariance of disability patterns among the four diagnostic groups; and examine associations between disability classes and sociodemographic variables.</p><p><strong>Methods: </strong>Patients seeking treatment for schizophrenia spectrum disorder, depression, anxiety or diabetes (n=1076) were recruited. Latent class analysis was used to identify disability classes based on WHODAS 2.0 responses. Measurement invariance was tested using multi-group latent class analysis. Associations between classes and sociodemographic variables were tested via multinomial logistic regression.</p><p><strong>Results: </strong>A five-class solution was identified; examination of model invariance showed that the partially constrained five-class model was most appropriate, suggesting that class structure was consistent while class membership differed across diagnostic groups. Finally, significant associations were found between class membership and ethnicity, education level, and employment status.</p><p><strong>Conclusions: </strong>The results show the feasibility of using the WHODAS 2.0 to identify and compare different disability classes among people with mental or physical conditions and their sociodemographic correlates. Establishing a typology of different disability profiles will help guide research and treatment plans that tackle not just clinical but also functional aspects of living with either a chronic psychiatric or physical condition.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"57"},"PeriodicalIF":3.2,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11282711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141765882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Discriminative capacity of the Spanish version of the Inventory of Depression and Anxiety Symptoms-II (IDAS-II) for detecting DMS-5 specific disorders and poor quality of life in a clinical sample.","authors":"Manuel Sanchez-Garcia, Carmen Díaz-Batanero, Ana De la Rosa-Cáceres","doi":"10.1186/s12955-024-02270-x","DOIUrl":"10.1186/s12955-024-02270-x","url":null,"abstract":"<p><strong>Background: </strong>Emotional problems can be evaluated using categorical approaches to guide treatment choices focused on targeting specific disorders, or dimensional approaches to reduce symptom severity. Moreover, recent evidence points out the need to intervene in patients' quality of life (QoL), which often remains low even after the remission of emotional problems. Thus, assessment instruments are needed to provide information on diagnosis, symptom severity, and QoL. The present study aimed to provide diagnostic and QoL cutoffs for the Inventory of Depression and Anxiety Symptoms-II (IDAS-II).</p><p><strong>Methods: </strong>273 patients recruited from mental health services in Huelva (Spain) completed the IDAS-II, Mini International Neuropsychiatric Interview, and Short Form-36 Health Survey. Receiver operating characteristic curve analyses were used to establish cutoff values. Diagnostic, balanced, and screening cutoffs were provided for each IDAS-II scale to detect corresponding diagnoses and poor QoL.</p><p><strong>Results: </strong>The specific IDAS-II scales Suicidality, Panic, Social Anxiety, Claustrophobia, and Traumatic Intrusions showed adequate discrimination values for their corresponding diagnoses (suicidal behavior disorder, panic disorder, social anxiety disorder, agoraphobia, and post-traumatic stress disorder, respectively). Both the General Depression and Dysphoria scales showed adequate ability to detect major depressive disorder. The IDAS-II scales showed a higher discrimination ability for Mental Health-related QoL, than for General Health-related QoL.</p><p><strong>Conclusions: </strong>The diagnostic and QoL cutoffs expand the clinical utility of the IDAS-II in clinical practice and research, making it a comprehensive, detailed, and versatile self-report tool. The IDAS-II allows for the assessment of emotional problems consistent with the dimensional, categorical, transdiagnostic, and QoL approaches.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"56"},"PeriodicalIF":3.2,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11256423/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141633362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Scale and rate heterogeneity in the EQ-5D-5L valuation.","authors":"Maksat Jumamyradov, Benjamin M Craig, Michał Jakubczyk","doi":"10.1186/s12955-024-02271-w","DOIUrl":"10.1186/s12955-024-02271-w","url":null,"abstract":"<p><strong>Objectives: </strong>To estimate values on a quality-adjusted life year (QALY) scale using individual preference evidence, choice analyses typically include ancillary parameters, such as scale factors and discount rates. These parameters potentially differ among respondents. In this study, we investigated how allowing heterogeneity in scale and rate affects the estimation of EQ-5D-5L values.</p><p><strong>Methods: </strong>Using the first wave of the 2016 EQ-5D-5L valuation study (N = 1017), we estimated a conditional logit (CL) model and three mixed logit models: random scale, random rate, and bivariate. Prior to the exploratory study, we hypothesized that scale and rate are correlated and that allowing heterogeneity in both parameters decreases the number of insignificant incremental effects. We confirmed the exploratory findings by re-estimating these models using paired comparison responses from a second wave (N = 1229).</p><p><strong>Results: </strong>Scale and rate exhibited significant heterogeneity and were positively correlated. As hypothesized, allowing this heterogeneity improved the face validity of the EQ-5D-5L value set by reducing the number of insignificant incremental effects (from 6 to 2 p-values > 0.05; out of 20). Nevertheless, the CL and bivariate mixed logit estimates are highly correlated and concordant (Pearson correlation coefficient of 0.897, Spearman correlation coefficient of 0.888, Lin's concordance coefficient of 0.763).</p><p><strong>Conclusions: </strong>Allowing this heterogeneity adds three parameters to the estimation (two variances and a correlation) and improves the face validity of the EQ-5D-5L values. This finding may influence experimental design and choice analysis in health valuation more generally.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"55"},"PeriodicalIF":3.2,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11555889/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141603563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Appropriateness of the EQ-5D-5L in capturing health-related quality of life in individuals with transfusion-dependent β-thalassemia: a mixed methods study","authors":"Adriana Boateng-Kuffour, Hanna Skrobanski, Jennifer Drahos, Puja Kohli, Katie Forster, Sarah Acaster, Zahra Pakbaz, Nanxin Li, Kate Williams","doi":"10.1186/s12955-024-02265-8","DOIUrl":"https://doi.org/10.1186/s12955-024-02265-8","url":null,"abstract":"Individuals with transfusion-dependent β-thalassemia (TDT) experience symptoms and functional impacts that reduce their health-related quality of life. However, EQ-5D-derived health utility index scores in TDT often indicate good HRQoL, suggesting the EQ-5D may not adequately capture the impact of TDT. This study explored the disease and treatment burden of TDT and examined the appropriateness of the EQ-5D-5L descriptive system (DS) in measuring HRQoL in TDT. Adults with TDT in the United Kingdom, United States, and France completed a background questionnaire and EQ-5D-5L DS, followed by 60-minute semi-structured interviews on symptoms and HRQoL impacts of TDT (concept elicitation) and appropriateness of EQ-5D-5L DS (cognitive debrief). Transcribed interviews were analyzed using thematic and content analyses. The relationship between TDT symptoms and impacts were summarized in a conceptual model. EQ-5D-5L DS was mapped to concepts identified in the qualitative data to assess its capture of HRQoL concepts. Participants’ EQ-5D-5L DS scores were compared to their qualitative descriptions for each dimension to assess their concordance. Thirty participants in the United States (n = 14 [46.7%]), United Kingdom. (n = 12 [40.0%]), and France (n = 4 [13.3%]) completed the study (73.3% female; mean age = 28.4 years [standard deviation (SD) = 5.1]; mean annual red blood cell transfusion [RBCT] frequency = 18.4 [SD = 7.6]). Participants reported TDT symptoms and impacts on HRQoL, all fluctuating across the RBCT cycle. EQ-5D-5L DS did not fully capture 11 of 16 (68.8%) HRQoL concepts reported. Most participants (n = 20/27 [74.1%]) reported that EQ-5D-5L DS did not capture important aspects of living with TDT, and 42.9% (n = 12/28) reported negative/neutral overall impressions of EQ-5D-5L DS. The highest degree of discordance between participants’ qualitative data and EQ-5D-5L DS dimension scores was observed with mobility (42.3%) and self-care (34.6%), where the qualitative descriptions relating to these dimensions were worse than their quantitative scores. Current findings suggest that EQ-5D-5L DS lacks content validity and the derived health utility index score may not fully represent the burden of disease in TDT.","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"21 1","pages":""},"PeriodicalIF":3.6,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141585710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Selecting PedsQL items to derive the PedsUtil health state classification system to measure health utilities in children.","authors":"Ellen Kim DeLuca, Kim Dalziel, Eve Wittenberg, Nicholas C Henderson, Lisa A Prosser","doi":"10.1186/s12955-024-02268-5","DOIUrl":"10.1186/s12955-024-02268-5","url":null,"abstract":"<p><strong>Background: </strong>There is a lack of preference-based health-related quality of life (HRQoL) measures that consistently value health across a full range of child age groups. The PedsQL is a generic HRQoL instrument validated for children 2-18 years, but it is not preference-based. The objective of this study was to derive the PedsUtil health state classification system from the PedsQL as a basis for a preference-based HRQoL measure for children.</p><p><strong>Methods: </strong>A two-step process was used to select PedsQL items to include in the health state classification system: 1) exclude poorly functioning items according to Rasch analysis in each of the previously established seven dimensions of the PedsUtil health state classification system and 2) select a single item to represent each dimension based on Rasch and psychometric analyses, as well as input from child health experts and parents. All secondary analyses were conducted using data from the Longitudinal Study of Australian Children (LSAC). Analyses were stratified by age group (i.e., 2-5 years, 6-13 years, and 14-17 years) to represent the different developmental stages of children and to reflect the study design of the LSAC. Rasch analyses were also performed on five random subsamples for each age group to enhance robustness of results.</p><p><strong>Results: </strong>Twelve items were excluded from the PedsUtil health state classification system after the first step of the item selection process. An additional four items were excluded in the second step, resulting in seven items that were selected to represent the seven dimensions of the PedsUtil health state classification system: Physical Functioning (\"participating in sports activity or exercise\"), Pain (\"having hurts or aches\"), Fatigue (\"low energy level\"), Emotional Functioning (\"worrying about what will happen to them\"), Social Functioning (\"other kids not wanting to be their friend\"), School Functioning (\"keeping up with schoolwork\"), and School Absence (\"missing school because of not feeling well\").</p><p><strong>Conclusions: </strong>The PedsUtil health state classification system was derived from the PedsQL based on several criteria and was constructed to be applicable to children two years and older. Research is ongoing to elicit preferences for the PedsUtil health state classification system to construct the PedsUtil scoring system.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"53"},"PeriodicalIF":3.2,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11238509/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141579546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Guideline for reporting systematic reviews of outcome measurement instruments (OMIs): PRISMA-COSMIN for OMIs 2024.","authors":"Ellen B M Elsman, Lidwine B Mokkink, Caroline B Terwee, Dorcas Beaton, Joel J Gagnier, Andrea C Tricco, Ami Baba, Nancy J Butcher, Maureen Smith, Catherine Hofstetter, Olalekan Lee Aiyegbusi, Anna Berardi, Julie Farmer, Kirstie L Haywood, Karolin R Krause, Sarah Markham, Evan Mayo-Wilson, Ava Mehdipour, Juanna Ricketts, Peter Szatmari, Zahi Touma, David Moher, Martin Offringa","doi":"10.1186/s12955-024-02256-9","DOIUrl":"10.1186/s12955-024-02256-9","url":null,"abstract":"<p><strong>Purpose: </strong>Although comprehensive and widespread guidelines on how to conduct systematic reviews of outcome measurement instruments (OMIs) exist, for example from the COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) initiative, key information is often missing in published reports. This article describes the development of an extension of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guideline: PRISMA-COSMIN for OMIs 2024.</p><p><strong>Methods: </strong>The development process followed the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) guidelines and included a literature search, expert consultations, a Delphi study, a hybrid workgroup meeting, pilot testing, and an end-of-project meeting, with integrated patient/public involvement.</p><p><strong>Results: </strong>From the literature and expert consultation, 49 potentially relevant reporting items were identified. Round 1 of the Delphi study was completed by 103 panelists, whereas round 2 and 3 were completed by 78 panelists. After 3 rounds, agreement (≥ 67%) on inclusion and wording was reached for 44 items. Eleven items without consensus for inclusion and/or wording were discussed at a workgroup meeting attended by 24 participants. Agreement was reached for the inclusion and wording of 10 items, and the deletion of 1 item. Pilot testing with 65 authors of OMI systematic reviews further improved the guideline through minor changes in wording and structure, finalized during the end-of-project meeting. The final checklist to facilitate the reporting of full systematic review reports contains 54 (sub)items addressing the review's title, abstract, plain language summary, open science, introduction, methods, results, and discussion. Thirteen items pertaining to the title and abstract are also included in a separate abstract checklist, guiding authors in reporting for example conference abstracts.</p><p><strong>Conclusion: </strong>PRISMA-COSMIN for OMIs 2024 consists of two checklists (full reports; abstracts), their corresponding explanation and elaboration documents detailing the rationale and examples for each item, and a data flow diagram. PRISMA-COSMIN for OMIs 2024 can improve the reporting of systematic reviews of OMIs, fostering their reproducibility and allowing end-users to appraise the quality of OMIs and select the most appropriate OMI for a specific application. NOTE: In order to encourage its wide dissemination this article is freely accessible on the web sites of the journals: Health and Quality of Life Outcomes; Journal of Clinical Epidemiology; Journal of Patient-Reported Outcomes; Quality of Life Research.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"48"},"PeriodicalIF":3.2,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11232333/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141558673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"More than sleep problems? Testing five key health behaviors as reasons for quality of life issues among shift workers.","authors":"Yuxin Chen, Kaiyi Deng, Ian M Hughes, Claire E Smith, Hongdao Meng, Minh Quan Le, Min Sun, Xianyan Zhang, Danping Liu","doi":"10.1186/s12955-024-02269-4","DOIUrl":"10.1186/s12955-024-02269-4","url":null,"abstract":"<p><strong>Background: </strong>The shift work schedule is a common work arrangement that can disrupt typical sleep-wake rhythms and lead to negative health consequences. The present study aims to examine the effect of shift work on health-related quality of life (QoL) and explore potential behaviorial mediators (i.e., sleep, eating, exercise, smoking, drinking).</p><p><strong>Methods: </strong>A cross-sectional survey was conducted among 4,449 petroleum workers in southwest China. Data on shift work status, health behaviors, and physical and mental health QoL were collected. We tested our model using path analysis and the Monte Carlo approach among 2,129 included participants.</p><p><strong>Results: </strong>After adjusting for covariates, shift work did not exhibit a significant direct association with QoL. However, shift work indirectly related to poorer physical health quality of life via less frequent healthy food consumption; shift work also indirectly related to poorer mental health QoL via both less frequent healthy food consumption and physical exercise. No significant indirect effects were found via sleeping, smoking, or drinking.</p><p><strong>Conclusions: </strong>Results suggest that shift work presents a challenge for QoL among Chinese petroleum workers due to their lesser engagement in two specific health behaviors: healthy eating and physical exercise. Healthy eating and exercise may present an even more prominent threat to shift workers' QoL than sleep and substance use. Strategies targeting shift work schedule as well as eating and exercise behaviors may help protect against poor QoL and adverse physical and mental health outcomes in this vulnerable group.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"52"},"PeriodicalIF":3.2,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11220953/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141491647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The EQ-5D-5L valuation study for Trinidad and Tobago.","authors":"Henry Bailey, Marcel F Jonker, Eleanor Pullenayegum, Fanni Rencz, Bram Roudijk","doi":"10.1186/s12955-024-02266-7","DOIUrl":"10.1186/s12955-024-02266-7","url":null,"abstract":"<p><strong>Purpose: </strong>The 2016 EQ-5D-3L value set for Trinidad and Tobago (T&T) allows for the calculation of EQ-5D-5L values via the crosswalk algorithm. The 2016 value set was based on methods predating the EQ-VT protocol, now considered the gold standard for developing EQ-5D value sets. Furthermore, direct elicitation of EQ-5D-5L is preferred over crosswalked values. This study aimed to produce an EQ-5D-5L value set for T&T.</p><p><strong>Methods: </strong>A representative sample (age, sex, geography) of adults each completed 10 composite Time Trade-Off (cTTO) tasks and 12 Discrete Choice Experiment (DCE) tasks in face-to-face interviews. The cTTO data were analyzed using a Tobit model that corrects for heteroskedasticity. DCE data were analyzed using a mixed logit model. The cTTO and DCE data were combined in hybrid models.</p><p><strong>Results: </strong>One thousand and seventy-nine adults completed the valuation interviews. Among the modelling approaches that were explored, the hybrid heteroskedastic Tobit model produced all internally consistent, statistically significant coefficients, and performed best in terms of out-of-sample predictivity for single states. Compared to the existing EQ-5D-5L crosswalk set, the new value set had a higher number of negative values (236 or 7.6% versus 21 or 0.7%). The mean absolute difference was 0.157 and the correlation coefficient between the two sets was 0.879.</p><p><strong>Conclusion: </strong>This study provides a value set for the EQ-5D-5L for T&T using the EQ-VT protocol. We recommend this value set for QALY computations relating to T&T.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"51"},"PeriodicalIF":3.2,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11218064/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141491648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measurement properties of the EQ-5D-Y-3L, PedsQL 4.0, and PROMIS-25 Profile v2.0 in pediatric patients with spinal muscular atrophy.","authors":"Richard Huan Xu, Zuyi Zhao, Zhuxin Mao, Shengfeng Wang, Hui Xiong, Dong Dong","doi":"10.1186/s12955-024-02264-9","DOIUrl":"https://doi.org/10.1186/s12955-024-02264-9","url":null,"abstract":"<p><strong>Objective: </strong>The objective of this study was to examine the psychometric properties of the EQ-5D-Y-3 L, Patient Reported Outcomes Measurement System 25-item version profile v2.0 (PROMIS-25), and Pediatric Quality of Life Inventory™ version 4.0 Generic Core Scale (PedsQL 4.0) in Chinese pediatric patients with spinal muscular atrophy (SMA).</p><p><strong>Methods: </strong>The data used in this study were obtained via a web-based cross-sectional survey. Parents of pediatric patients with SMA completed the proxy-reported EQ-5D-Y-3 L, PedsQL 4.0, and PROMIS-25 measures. Information about socioeconomic and health status was also obtained. The ceiling and floor effects, factorial structure, convergent validity, and known-group validity of the three measures were assessed.</p><p><strong>Results: </strong>Three hundred and sixty-three parents of children aged from 5 to 12 completed the questionnaires. Strong floor effects were observed for the physical function components of the PROMIS-25 (41.3%) and PedsQL 4.0 (67.8%). For EQ-5D-Y-3 L, 84.6% of the respondents reported having \"a lot of\" problems with the dimensions \"walking\" and \"looking after myself.\" Minimal ceiling or floor effects were observed for the EQ-5D-Y-3 L index value. The confirmatory factor analysis supported a six-factor structure for the PROMIS-25, but did not support a four-factor structure for the PedsQL 4.0. All hypothesized correlations of the dimensions among the three measures were confirmed, with coefficients ranging from 0.28 to 0.68. Analysis of variance showed that EQ-5D-Y-3 L demonstrated better known-group validity than the other two measures in 14 out of 16 comparisons.</p><p><strong>Conclusions: </strong>The EQ-5D-Y-3 L showed better discriminant power than the other two measures. The physical health dimensions of all three measures showed the significant floor effects. These findings provide valuable insights into the effectiveness of these measures at capturing and quantifying the impact of SMA on patients' health-related quality of life.</p>","PeriodicalId":12980,"journal":{"name":"Health and Quality of Life Outcomes","volume":"22 1","pages":"50"},"PeriodicalIF":3.2,"publicationDate":"2024-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11210123/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141467597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}