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Huang D, Peng J, Chen N, Yang Q, Jiang L. Mapping study of papillary thyroid carcinoma in China: Predicting EQ-5D-5L utility values from FACT-H&N. Front Public Health 2023; 11:1076879. [PMID: 36908441 PMCID: PMC9998072 DOI: 10.3389/fpubh.2023.1076879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 02/02/2023] [Indexed: 02/25/2023] Open
Abstract
Objective To develop a mapping algorithm that can be used to predict EQ-5D-5L health utility scores from FACT-H&N and obtain health utility parameters for Chinese patients with papillary thyroid carcinoma (PTC), which can be used for cost-utility analysis in health economic. Methods A total of 1,050 patients with PTC from a tertiary hospital in China were included, and they completed FACT-H&N and EQ-5D-5L. Four mapping algorithms of direct mapping functions were used to derive the models: Ordinary least squares (OLS), Tobit model (Tobit), Two-part model (TPM), and Beta mixture regression model (Beta). The goodness-of-fit of models was assessed by the mean absolute error (MAE), root mean square error (RMSE), Akaike information criteria (AIC), Bayesian information criteria (BIC), and absolute error (AE). A fivefold cross-validation method was used to test the stability of the models. Results The mean utility value of the EQ-5D-5L was 0.870 ± 0.094. The mean EQ-VAS score was 76.5 ± 13.0. The Beta mixture regression model mapping FACT-H&N to EQ-5D-5L achieved the best performance [fivefold cross-validation MAE = 0.04612, RMSE = 0.06829, AIC = -2480.538, BIC = -2381.137, AE > 0.05 (%) = 32.48, AE > 0.1 (%) = 8.95]. The independent variables in this model were Physical Well-Being (PWB), Emotional Well-Being (EWB), Head & Neck Cancer Subscale (HNCS) scores and its square term and interaction term scores. Conclusions This study calculated the health utility score of Chinese patients with PTC. The reported algorithms can be used to map the FACT-H&N into the EQ-5D-5L, which can be applied in the cost-utility related study of patients with PTC.
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Affiliation(s)
- Deyu Huang
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Jialing Peng
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Na Chen
- School of Nursing, Chengdu Medical College, Chengdu, China
| | - Qing Yang
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Longlin Jiang
- Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
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Lindenberg M, Kramer A, Kok E, Retèl V, Beets G, Ruers T, van Harten W. Image-guided navigation for locally advanced primary and locally recurrent rectal cancer: evaluation of its early cost-effectiveness. BMC Cancer 2022; 22:504. [PMID: 35524234 PMCID: PMC9074374 DOI: 10.1186/s12885-022-09561-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 04/17/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A first pilot study showed that an image-guided navigation system could improve resection margin rates in locally advanced (LARC) and locally recurrent rectal cancer (LRRC) patients. Incremental surgical innovation is often implemented without reimbursement consequences, health economic aspects should however also be taken into account. This study evaluates the early cost-effectiveness of navigated surgery compared to standard surgery in LARC and LRRC. METHODS A Markov decision model was constructed to estimate the expected costs and outcomes for navigated and standard surgery. The input parameters were based on pilot data from a prospective (navigation cohort n = 33) and retrospective (control group n = 142) data. Utility values were measured in a comparable group (n = 63) through the EQ5D-5L. Additionally, sensitivity and value of information analyses were performed. RESULTS Based on this early evaluation, navigated surgery showed incremental costs of €3141 and €2896 in LARC and LRRC. In LARC, navigated surgery resulted in 2.05 Quality-Adjusted Life Years (QALYs) vs 2.02 QALYs for standard surgery. For LRRC, we found 1.73 vs 1.67 QALYs respectively. This showed an Incremental Cost-Effectiveness Ratio (ICER) of €136.604 for LARC and €52.510 for LRRC per QALY gained. In scenario analyses, optimal utilization rates of the navigation technology lowered the ICER to €61.817 and €21.334 for LARC and LRRC. The ICERs of both indications were most sensitive to uncertainty surrounding the risk of progression in the first year after surgery, the risk of having a positive surgical margin, and the costs of the navigation system. CONCLUSION Adding navigation system use is expected to be cost-effective in LRRC and has the potential to become cost-effective in LARC. To increase the probability of being cost-effective, it is crucial to optimize efficient use of both the hybrid OR and the navigation system and identify subgroups where navigation is expected to show higher effectiveness.
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Affiliation(s)
- Melanie Lindenberg
- Health Technology and Services Research, University of Twente, Enschede, The Netherlands
- Division of Psychosocial Research and Epidemiology Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, The Netherlands
| | - Astrid Kramer
- Health Technology and Services Research, University of Twente, Enschede, The Netherlands
| | - Esther Kok
- Department of Surgical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, The Netherlands
| | - Valesca Retèl
- Health Technology and Services Research, University of Twente, Enschede, The Netherlands
- Division of Psychosocial Research and Epidemiology Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, The Netherlands
| | - Geerard Beets
- Department of Surgical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, The Netherlands
| | - Theo Ruers
- Department of Surgical Oncology, Netherlands Cancer Institute - Antoni van Leeuwenhoek, Amsterdam, The Netherlands
- Faculty TNW, Group Nanobiophysics, Twente University, Enschede, The Netherlands
| | - Wim van Harten
- Health Technology and Services Research, University of Twente, Enschede, The Netherlands.
- Division of Psychosocial Research and Epidemiology Netherlands Cancer Institute, Antoni van Leeuwenhoek, Amsterdam, The Netherlands.
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Yousefi M, Nahvijou A, Sari AA, Ameri H. Mapping QLQ-C30 Onto EQ-5D-5L and SF-6D-V2 in Patients With Colorectal and Breast Cancer From a Developing Country. Value Health Reg Issues 2021; 24:57-66. [DOI: 10.1016/j.vhri.2020.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 05/11/2020] [Accepted: 06/27/2020] [Indexed: 02/02/2023]
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Current Status of Research on the Mapping Function of Health Utility Values in the Asia Pacific Region: A Systematic Review. Value Health Reg Issues 2021; 24:224-239. [PMID: 33894684 DOI: 10.1016/j.vhri.2020.12.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 11/11/2020] [Accepted: 12/06/2020] [Indexed: 11/22/2022]
Abstract
OBJECTIVES This systematic review aimed to analyze the published studies on the use of the mapping method between generic scales and disease-specific scales as well as between 2 universal scales. METHODS A systematic literature search was conducted using PubMed, ScienceDirect, Web of Science, CNKI, Weipa Database, Wanfang Database, and HERC Database to collect articles about the application of the mapping method to the measurement of health utility value from January 2000 to December 2019. RESULTS Overall, 59 articles met the inclusion requirements, and most of them were a mapping study between a disease-specific scale and a generic scale. Then all these articles were classified by the following study types: a clear functional relationship; unclear functional relationship; disease-specific scale and universality; mapping between generic scales and disease-specific scales, and mapping between universal scales. Most studies derived the best mapping model from the ordinary least squares regression, and fewer studies chose to use new regression methods. Sample sizes in the retrieved studies generally affected the reliability of the study results. CONCLUSIONS In recent years, as more attention has been paid to the research of the mapping method, a large number of problems have followed, such as the selection of scale types, the coverage of the study sample, and the selection of evaluation index of model performance and sample size. It is hoped that these problems can be properly solved in the future research.
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Ameri H, Yousefi M, Yaseri M, Nahvijou A, Arab M, Akbari Sari A. Mapping EORTC-QLQ-C30 and QLQ-CR29 onto EQ-5D-5L in Colorectal Cancer Patients. J Gastrointest Cancer 2020; 51:196-203. [PMID: 30977049 DOI: 10.1007/s12029-019-00229-6] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE Patient-level utility data are needed for cost-utility analysis; in oncology, however, the data are commonly gathered using disease-specific questionnaires that are often not appropriate. Present study aimed to derive an algorithm which can map the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30 (EORTC QLQ-C30) scales and the Colorectal Cancer-Specific Quality Of Life Questionnaire (QLQ-CR29) scales onto the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) values in patients with colorectal cancer (CRC). METHODS Using the Ordinary Least Square (OLS) model, a cross-sectional dataset of 252 patients with CRC were gathered from three academic centers of cancer treatment in Tehran in 2017. The predicted R2 (Pred R2) and adjusted R2 (Adj R2) are used to evaluate model goodness of fit. Additionally, mean absolute error (MAE), root mean square error (RMSE), Spearman's correlation coefficients (ρ), and intraclass correlation (ICC) are applied to assess predictive ability of models. The tenfold cross-validation procedure was applied for validation models. RESULTS According to the results of our study, the model C4 from EORTC QLQ-C30 was the best predictive model (Pred R2 = 66.57%, Adj R2 = 67.67%, RMSE = 0.10173, MAE = 0.07840). Also, the model R4 from QLQ-CR29 performed the best for EQ-5D-5L (Adj R2 = 48.42%, Pred R2 = 45.54%, MAE = 0.10051, RMSE = 0.12997). CONCLUSIONS The mapping algorithm successfully mapped the EORTC QLQ-C30 and QLQ-CR29 scales onto the EQ-5D-5L values; therefore, it enables policymakers to convert cancer-specific questionnaires scores to the preference-based scores.
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Affiliation(s)
- Hosein Ameri
- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mahmood Yousefi
- Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Health Economics Department, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mehdi Yaseri
- Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Azin Nahvijou
- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
- Cancer Research Center, Cancer Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Arab
- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Ali Akbari Sari
- Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
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Nahvijou A, Safari H, Yousefi M, Rajabi M, Arab-Zozani M, Ameri H. Mapping the cancer-specific FACT-B onto the generic SF-6Dv2. Breast Cancer 2020; 28:130-136. [DOI: 10.1007/s12282-020-01141-9] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 07/16/2020] [Indexed: 02/07/2023]
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Mukuria C, Rowen D, Harnan S, Rawdin A, Wong R, Ara R, Brazier J. An Updated Systematic Review of Studies Mapping (or Cross-Walking) Measures of Health-Related Quality of Life to Generic Preference-Based Measures to Generate Utility Values. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2019; 17:295-313. [PMID: 30945127 DOI: 10.1007/s40258-019-00467-6] [Citation(s) in RCA: 60] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
BACKGROUND Mapping is an increasingly common method used to predict instrument-specific preference-based health-state utility values (HSUVs) from data obtained from another health-related quality of life (HRQoL) measure. There have been several methodological developments in this area since a previous review up to 2007. OBJECTIVE To provide an updated review of all mapping studies that map from HRQoL measures to target generic preference-based measures (EQ-5D measures, SF-6D, HUI measures, QWB, AQoL measures, 15D/16D/17D, CHU-9D) published from January 2007 to October 2018. DATA SOURCES A systematic review of English language articles using a variety of approaches: searching electronic and utilities databases, citation searching, targeted journal and website searches. STUDY SELECTION Full papers of studies that mapped from one health measure to a target preference-based measure using formal statistical regression techniques. DATA EXTRACTION Undertaken by four authors using predefined data fields including measures, data used, econometric models and assessment of predictive ability. RESULTS There were 180 papers with 233 mapping functions in total. Mapping functions were generated to obtain EQ-5D-3L/EQ-5D-5L-EQ-5D-Y (n = 147), SF-6D (n = 45), AQoL-4D/AQoL-8D (n = 12), HUI2/HUI3 (n = 13), 15D (n = 8) CHU-9D (n = 4) and QWB-SA (n = 4) HSUVs. A large number of different regression methods were used with ordinary least squares (OLS) still being the most common approach (used ≥ 75% times within each preference-based measure). The majority of studies assessed the predictive ability of the mapping functions using mean absolute or root mean squared errors (n = 192, 82%), but this was lower when considering errors across different categories of severity (n = 92, 39%) and plots of predictions (n = 120, 52%). CONCLUSIONS The last 10 years has seen a substantial increase in the number of mapping studies and some evidence of advancement in methods with consideration of models beyond OLS and greater reporting of predictive ability of mapping functions.
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Affiliation(s)
- Clara Mukuria
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
| | - Donna Rowen
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
| | - Sue Harnan
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
| | - Andrew Rawdin
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
| | - Ruth Wong
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
| | - Roberta Ara
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
| | - John Brazier
- School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK
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Ameri H, Yousefi M, Yaseri M, Nahvijou A, Arab M, Akbari Sari A. Mapping the cancer-specific QLQ-C30 onto the generic EQ-5D-5L and SF-6D in colorectal cancer patients. Expert Rev Pharmacoecon Outcomes Res 2018; 19:89-96. [PMID: 30173585 DOI: 10.1080/14737167.2018.1517046] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Economic evaluation of healthcare interventions usually needs accurate data on utility and health-related quality-of-life scores. The aim of this study is to map QLQ-C30 scale score onto EQ-5D-5L and SF-6D utility values in colorectal cancer (CRC) patients. METHODS EQ-5D-5L, SF-6D, and QLQ-C30 were completed by 252 patients with CRC who were referred to three cancer centers in Tehran between May and September 2017. Moreover, OLS, Tobit, and CLAD models were used to predict EQ-5D-5L and SF-6D values. The goodness of fit of models was evaluated using Pred R2 and Adj R2. In addition, their predictive performance was assessed by MAE, RMSE, ICC, MID, and Spearman's correlation coefficients between observed and predicted EQ-5D-5L and SF-6D values. Models were validated using a 10-fold cross-validation method. RESULTS Considering the goodness of fit and predictive ability of models, the OLS Model 2 performed best for EQ-5D-5L (Adj R2 = 58.09%, Pred R2 = 58.93%, MAE = 0.0932, RMSE = 0.129) and the OLS Model 3 performed best for SF-6D (Adj R2 = 54.90%, Pred R2 = 55.62%, MAE = 0.0485, RMSE = 0.0634). CONCLUSION Our results demonstrated that algorithms developed based on OLS Models 1 and 2 are the best for predicted EQ-5D-5L and SF-6D values, respectively.
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Affiliation(s)
- Hosein Ameri
- a Department of Health Management and Economics, School of Public Health , Tehran University of Medical Sciences , Tehran , Iran
| | - Mahmood Yousefi
- b Iranian Center of Excellence in Health Management, School of Management and Medical Informatics, Health Economics Department , Tabriz University of Medical Sciences , Tabriz , Iran
| | - Mehdi Yaseri
- c Department of Epidemiology and Biostatistics, School of Public Health , Tehran University of Medical Sciences , Tehran , Iran
| | - Azin Nahvijou
- d Cancer Research Center, Cancer Institute , Tehran University of Medical Sciences , Tehran , Iran
| | - Mohammad Arab
- a Department of Health Management and Economics, School of Public Health , Tehran University of Medical Sciences , Tehran , Iran
| | - Ali Akbari Sari
- a Department of Health Management and Economics, School of Public Health , Tehran University of Medical Sciences , Tehran , Iran
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Testing alternative regression models to predict utilities: mapping the QLQ-C30 onto the EQ-5D-5L and the SF-6D. Qual Life Res 2018; 27:2823-2839. [PMID: 30173314 DOI: 10.1007/s11136-018-1981-6] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/28/2018] [Indexed: 11/12/2022]
Abstract
PURPOSE The purpose of the study was to compare alternative statistical techniques to find the best approach for converting QLQ-C30 scores onto EQ-5D-5L and SF-6D utilities, and to estimate the mapping algorithms that best predict these health state utilities. METHODS 772 cancer patients described their health along the cancer-specific instrument (QLQ-C30) and two generic preference-based instruments (EQ-5D-5L and SF-6D). Seven alternative regression models were applied: ordinary least squares, generalized linear model, extended estimating equations (EEE), fractional regression model, beta binomial (BB) regression, logistic quantile regression and censored least absolute deviation. Normalized mean absolute error (NMAE), normalized root mean square error (NRMSE), r-squared (r2) and concordance correlation coefficient (CCC) were used as model performance criteria. Cross-validation was conducted by randomly splitting internal dataset into two equally sized groups to test the generalizability of each model. RESULTS In predicting EQ-5D-5L utilities, the BB regression performed best. It gave better predictive accuracy in terms of all criteria in the full sample, as well as in the validation sample. In predicting SF-6D, the EEE performed best. It outperformed in all criteria: NRMSE = 0.1004, NMAE = 0.0798, CCC = 0.842 and r2 = 72.7% in the full sample, and NRMSE = 0.1037, NMAE = 0.0821, CCC = 0.8345 and r2 = 71.4% in cross-validation. CONCLUSIONS When only QLQ-C30 data are available, mapping provides an alternative approach to obtain health state utility data for use in cost-effectiveness analyses. Among seven alternative regression models, the BB and the EEE gave the most accurate predictions for EQ-5D-5L and SF-6D, respectively.
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Jeong K, Cairns J. Systematic review of health state utility values for economic evaluation of colorectal cancer. HEALTH ECONOMICS REVIEW 2016; 6:36. [PMID: 27541298 PMCID: PMC4991979 DOI: 10.1186/s13561-016-0115-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Accepted: 08/12/2016] [Indexed: 05/30/2023]
Abstract
Cost-utility analyses undertaken to inform decision making regarding colorectal cancer (CRC) require a set of health state utility values (HSUVs) so that the time CRC patients spend in different health states can be aggregated into quality-adjusted life-years (QALY). This study reviews CRC-related HSUVs that could be used in economic evaluation and assesses their advantages and disadvantages with respect to valuation methods used and CRC clinical pathways. Fifty-seven potentially relevant studies were identified which collectively report 321 CRC-related HSUVs. HSUVs (even for similar health states) vary markedly and this adds to the uncertainty regarding estimates of cost-effectiveness. There are relatively few methodologically robust HSUVs that can be directly used in economic evaluations concerned with CRC. There is considerable scope to develop new HSUVs which improve on those currently available either by expanded collection of generic measures or by making greater use of condition-specific data, for example, using mapping algorithms.
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Affiliation(s)
- Kim Jeong
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH UK
| | - John Cairns
- Department of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH UK
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Goldfarb M, Casillas J. Thyroid Cancer-Specific Quality of Life and Health-Related Quality of Life in Young Adult Thyroid Cancer Survivors. Thyroid 2016; 26:923-32. [PMID: 27161396 DOI: 10.1089/thy.2015.0589] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
BACKGROUND There is a lack of health-related quality of life (HRQOL) research in thyroid cancer (TC) survivors, especially young adults (YAs). This study aims to assess the socio-demographic and clinical factors that most influence TC-specific QOL domains and estimate the impact of different health conditions on HRQOL in a large cohort of YA TC survivors. METHODS TC survivors ≥17 years of age were recruited through the thyroid cancer survivor (ThyCa) Web site. Mean scores for the seven domains and six items of THYCA-QoL, MCS and PCS of SF-12v1, and derived SF-6D were compared between factors as well as age groups (YA: 17-39 years, adult ≥40 years), and to the normal population. Regression analyses estimated the relationship between the socio-demographic, clinical, and THYCA-QoL measures and HRQOL in YAs only. RESULTS Of 1028 survivors, 277 (27%) were YAs. Most YAs were female (93.5%), white (86.6%), insured (96.8%), married or in a stable relationship (69%), and listed a comorbidity (43.7%); all reported their entire thyroid had been removed. Average survivorship time was 46.2 months (SD = 51.0). Almost every socio-demographic and clinical factor significantly influenced one or more domain of THYCA-QoL in both YAs and older adults. In both groups, a higher level of education, female sex, unemployment, and having a comorbidity resulted in significantly higher THYCA-QoL scores (more complaints) and lower SF-6D scores (lower HRQOL; p < 0.05). Current YAs had less neuromuscular, voice, sympathetic, and throat/mouth complaints but more grievances involving their scar, headaches, anxiety, and overall psychological state (p < 0.05). The average SF-6D for YAs was 0.70 (SD = 0.13), which was similar to the older adults but significantly different from the normal age-matched population in females (p < 0.01). All THYCA-QoL domains were strongly associated with a lower HRQOL (adj R(2) > 0.5) in YAs. The simplest, best regression model (adj R(2) = 0.53) in YAs included neuromuscular, concentration, and anxiety complaints, as well as having a comorbidity predicting lower HRQOL. CONCLUSION TC-specific QOL is significantly influenced by many socio-demographic and clinical factors. HRQOL is lower in female YA TC survivors compared with the normal age-matched population. Neuromuscular, concentration, and anxiety complaints had the greatest impact on HRQOL in YA TC survivors.
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Affiliation(s)
- Melanie Goldfarb
- 1 Endocrine Tumor Program, John Wayne Cancer Institute at Providence St. John's Health Center , Santa Monica, California
| | - Jacqueline Casillas
- 2 Department of Pediatrics, University of California , Los Angeles, California
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Kontodimopoulos N. The potential for a generally applicable mapping model between QLQ-C30 and SF-6D in patients with different cancers: a comparison of regression-based methods. Qual Life Res 2014; 24:1535-44. [DOI: 10.1007/s11136-014-0857-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/06/2014] [Indexed: 11/12/2022]
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Wong CKH, Law WL, Wan YF, Poon JTC, Lam CLK. Health-related quality of life and risk of colorectal cancer recurrence and All-cause death among advanced stages of colorectal cancer 1-year after diagnosis. BMC Cancer 2014; 14:337. [PMID: 24886385 PMCID: PMC4030731 DOI: 10.1186/1471-2407-14-337] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2013] [Accepted: 05/12/2014] [Indexed: 01/10/2023] Open
Abstract
Background The study aimed to examine the association between health-related quality of life (HRQOL) assessed with overall survival (OS) and recurrence after diagnosis of colorectal cancer (CRC). Methods Overall 160 patients with advanced stage CRC were recruited in an observational study and completed the generic and condition-specific HRQOL questionnaires at the colorectal specialist outpatient clinic in Hong Kong, between 10/2009 and 07/2010. Socio-demographic and clinical characteristics including duration since diagnosis, primary tumor location and treatment modality, were collected to serve as predictor variables in regression models. All-cause death or CRC recurrence was the event of interest. Association between HRQOL with OS was assessed using Cox regression. Association between HRQOL and CRC recurrence was further modeled by competing-risks regression adjusted for the competing-risks of death from any cause. Results After a median follow-up of 23 months, there were 22 (16.1%) incidents of CRC recurrence and 15 (9.4%) deaths. Decreased physical functioning (hazard ratios, HR = 0.917, 95% CI:0.889-0.981) and general health of domains in SF-12 (HR = 0.846, 95% CI:0.746-0.958) or SF-6D scores (HR = 0.010, 95% CI:0.000-0.573) were associated with an increased risk of death, with adjustment of patients’ characteristics. Increased vitality (HR = 1.151, 95% CI:1.027-1.289) and mental health (HR = 1.128, 95% CI:1.005-1.265) were associated with an increased likelihood of death. In models adjusted for competing-risk of death, those with worse HRQOL was not associated with increased risk of CRC recurrence. Conclusions Although self-reported HRQOL was not a significant prognostic factor for CRC recurrence, the HRQOL provided independent prognostic value about mortality in patients with advanced stage of CRC.
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Affiliation(s)
- Carlos K H Wong
- Department of Family Medicine and Primary Care, The University of Hong Kong, 3/F, Ap Lei Chau Clinic, 161 Ap Lei Chau Main Street, Ap Lei Chau, Hong Kong.
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Yang Y, Wong MY, Lam CLK, Wong CKH. Improving the mapping of condition-specific health-related quality of life onto SF-6D score. Qual Life Res 2014; 23:2343-53. [PMID: 24682669 DOI: 10.1007/s11136-014-0668-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/06/2014] [Indexed: 11/26/2022]
Abstract
BACKGROUND This study sought to improve the predicative performance and goodness-of-fit of mapping models, as part of indirect valuation, by introducing cubic spline smoothing to map a group of health-related quality of life (HRQOL) measures onto a preference-based measure. METHODS This study was a secondary analysis of a cross-sectional health survey data assessing the HRQOL for patients with colorectal neoplasms. Mapping functions of condition-specific functional assessment of cancer therapy-colorectal (FACT-C) onto preference-based SF-6D measure were developed using a dataset of 553 Chinese subjects with different stages of colorectal neoplasm. The missing values of FACT-C were imputed using multiple imputation. Then three widely applicable models (ordinary least square (OLS), Tobit and two-part models) were employed for the mapping function after applying the cubic spline smoothing on the data. For the evaluation of the effectiveness of cubic spline smoothing and multiple imputation, the goodness-of-fit and prediction performance of each model were compared. RESULTS Analyses showed that the models fitted with transformed data from cubic spline smoothing offered better performance in goodness-of-fit and prediction than the models fitted with the original data. The values of [Formula: see text] were improved by over 10%, and the root mean square error and the mean absolute error were both reduced. The best goodness-of-fit and performance were achieved by OLS model using transformed data from cubic spline smoothing. CONCLUSIONS Cubic spline smoothing and multiple imputation were recommended for the mapping of HRQOL measures onto the preference-based measure. Among the three mapping models, the simple-to-use OLS model had the best performance.
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Affiliation(s)
- Yingsi Yang
- Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China
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Responsiveness was similar between direct and mapped SF-6D in colorectal cancer patients who declined. J Clin Epidemiol 2014; 67:219-27. [DOI: 10.1016/j.jclinepi.2013.08.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2013] [Revised: 08/07/2013] [Accepted: 08/12/2013] [Indexed: 02/01/2023]
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Clinical correlates of health preference and generic health-related quality of life in patients with colorectal neoplasms. PLoS One 2013; 8:e58341. [PMID: 23516465 PMCID: PMC3596378 DOI: 10.1371/journal.pone.0058341] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2012] [Accepted: 02/03/2013] [Indexed: 11/21/2022] Open
Abstract
Background The aims of the study were to assess the health preference and health-related quality of life (HRQOL) in patients with colorectal neoplasms (CRN), and to determine the clinical correlates that significantly influence the HRQOL of patients. Methods Five hundred and fifty-four CRN patients, inclusive of colorectal polyp or cancer, who attended the colorectal specialist outpatient clinic at Queen Mary Hospital in Hong Kong between October 2009 and July 2010, were included. Patients were interviewed with questionnaires on socio-demographic characteristics, and generic and health preference measures of HRQOL using the SF-12 and SF-6D Health Surveys, respectively. Clinical information on stage of disease at diagnosis, time since diagnosis, primary tumour site was extracted from electronic case record. Mean HRQOL and health preference scores of CRN patients were compared with age-sex matched controls from the Chinese general population using independent t-test. Multiple linear regression analyses were conducted to explore the associations of clinical characteristics with HRQOL measures with the adjustment of socio-demographic characteristics. Results Cross-sectional data of 515 eligible patients responded to the whole questionnaires were included in outcome analysis. In comparison with age-sex matched normative values, CRN patients reported comparable physical-related HRQOL but better mental-related HRQOL. Amongst CRN patients, time since diagnosis was positively associated with health preference score whilst patients with rectal neoplasms had lower health preference and physical-related HRQOL scores than those with sigmoid neoplasms. Health preference and HRQOL scores were significantly lower in patients with stage IV colorectal cancer than those with other less severe stages, indicating that progressive decline from low-risk polyp to stage IV colorectal cancer was observed in HRQOL scores. Conclusion In CRN patients, a more advanced stage of disease was associated with worse HRQOL scores. Despite potentially adverse effect of disease on physical-related HRQOL, the mental-related HRQOL of CRN patients were better than that of Chinese general population.
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