Valuing the SF-6Dv2 in the capital of Iran using a discrete choice experiment with duration.

BACKGROUND: The second version of the Short-Form 6-Dimension (SF-6Dv2) classification system has recently been developed. The objective of this study was to develop a value set for SF-6Dv2 based on the societal preferences of a general population in the capital of Iran. METHODS: A representative sample of the capital of Iran (n = 3061) was recruited using a stratified multistage quota sampling technique. Face-to-face interviews were conducted using binary choice sets from the international valuation protocol of the discrete choice experiment with duration. The conditional logit was used to estimate the final value set, and a latent class model was employed to assess heterogeneity of preferences. RESULTS: Coefficients generated from the models were logically consistent and significant. The best model was the one that included an additional interaction term for cases where one or more dimensions reached their most severe levels. It provides a value set with logical consistent coefficients and the lowest percentage of worse than death health states. Predicted values for the SF-6Dv2 were within the range of - 0.796-1. Pain dimension had the largest impact on utility decrement, whereas vitality had the least impact. The presence of preference heterogeneity was evident, and the Bayesian Information Criterion indicated the optimal fit for a latent class model with two classes. CONCLUSION: This study provided the SF-6Dv2 value set for application in the context of Iran. This value set will facilitate the use of the SF-6Dv2 instrument in health economic evaluations and clinical settings.

The influencing factors of health-related quality of life of the general population of Iran during the COVID-19 Pandemic.

COVID-19 is a global challenge that negatively affects the health-related quality of life (HRQoL) of the general population. The current study aimed to evaluate HRQoL and its associated factors among the Iranian general population during the COVID-19 pandemic. The data were collected in 2021 using the EuroQol 5-Dimension 3-Level (EQ-5D-3L) and EQ-5D Visual Analog Scale (EQ VAS) questionnaires through an online survey. Participants were recruited via social media from the Fars province. The multiple binary logistic regression model was used to identify factors influencing participants' HRQoL. Kolmogorov-Smirnov, the t-test, ANOVA, and the chi-square test were used. All tests were conducted at a significance level of 5% using Stata 14.2 and SPSS 16. A total of 1,198 participants were involved in this cross-sectional study. The mean age of participants was 33.3 (SD:10.2), and more than half were women (55.6%). The mean EQ-5D-3L index value and EQ-VAS of the respondents were 0.80 and 77.53, respectively. The maximum scores of the EQ-5D-3L and EQ-VAS in the present study were 1 and 100, respectively. The most frequently reported problems were anxiety/depression (A/D) (53.7%), followed by pain/discomfort (P/D) (44.2%). Logistic regression models showed that the odds of reporting problems on the A/D dimension increased significantly with supplementary insurance, including concern about getting COVID-19, hypertension, and asthma, by 35% (OR = 1.35; P = 0.03), 2% (OR = 1.02; P = 0.02), 83% (OR = 1.83; P = 0.02), and 6.52 times (OR = 6.52; P = 0.01), respectively. The odds of having problems on the A/D dimension were significantly lower among male respondents, those in the housewives + students category, and employed individuals by 54% (OR = 0.46; P = 0.04), 38% (OR = 0.62; P = 0.02) and 41% (OR = 0.59; P = 0.03), respectively. Moreover, the odds of reporting a problem on the P/D dimension decreased significantly in those belonging in a lower age group and with people who were not worried about getting COVID-19 by 71% (OR = 0.29; P = 0.03) and 65% (OR = 0.35; P = 0.01), respectively. The findings of this study could be helpful for policy-making and economic evaluations. A significant percentage of participants (53.7%) experienced psychological problems during the pandemic. Therefore, effective interventions to improve the quality of life of these vulnerable groups in society are essential.

A national survey of Iranian general population to estimate a value set for the EQ-5D-5L.

OBJECTIVES: The main aim of this study is to estimate a national value set of the EQ-5D-5L questionnaire for Iran. METHODS: The composite time trade-off (cTTO) and discrete choice experiment (DCE) methods; and the protocol for EuroQol Portable Valuation Technology (EQ-PVT) were used to estimate the Iran national value set. 1179 face-to-face computer-assisted interviews were conducted with adults that were recruited from five Iran major cities in 2021. Generalized least squares, Tobit, heteroskedastic, logit, and hybrid models were used to analyze the data and to identify the best fitting model. RESULTS: According to the logical consistency of the parameters, significance levels and prediction accuracy indices of the MAE; a heteroscedastic censored Tobit hybrid model combining cTTO and DCE responses was considered as the best fitting model to estimate the final value set. The predicted values ranged from - 1.19 for the worst health state (55555) to 1 for full health (11111), with 53.6% of the predicted values being negative. Mobility was the most influential dimension on health state preference values. CONCLUSIONS: The present study estimated a national EQ-5D-5L value set for Iranian policy makers and researchers. The value set enables the EQ-5D-5L questionnaire to use to calculate QALYs to assist the priority setting and efficient allocation of limited healthcare resources.

Translation and validation of the Persian version of diabetic foot ulcer scaleshort form (DFS-SF).

Foot ulcer in diabetic patients could often result in significantly impaired quality of life. This study aimed to translate and validate the DFS-SF in Iran. The DFS-SF was translated into Persian, and then its validity and reliability were tested in 262 patients with DFUs. Content validity was evaluated using content validity ratio (CVR) and content validity index (CVI), and criterion validity was assessed through Spearman's correlation between dimensions of the DFS-SF and the EQ-5D-5L. Construct validity was measured using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), and convergent-discriminant validity was examined by calculating the average variance extracted (AVE) and composite reliability (CR). Cronbach's alpha and intraclass correlation coefficient (ICC) were calculated to evaluate the reliability of the measure. CVR ≥0.66 and CVI = 0.81 were calculated. Spearman's correlation ranged from 0.23 to 0.78 across all dimensions. The results of EFA showed that all six dimensions of the DFS-SF had an eigenvalue more than 1; accounting for 68.88% of the total variance. CFA confirmed the DFS-SF as a six-dimension structure with good fit indices of χ2/df = 2.15 < 5, RMSEA = 0.06 < 0.08, CFI = 0.91 ≥ 0.90, TLI = 0.90 ≥ 0.90, and RMR = 0.04, as well as with adequate fit indices of GFI = 0.84 ≤ 0.90, NFI = 0.86 ≤ 0.90. Estimates of ≥0.50 for AVE were not observed in two of the six dimensions and CR ≥0.70 was obtained for all dimensions. The reliability was calculated with a Cronbach's alpha of 0.89 and ICC >0.69 for all dimensions. Our findings confirmed the validity and reliability of the Persian DFS-SF; therefore, it can be used to assess QoL in patients with DFSs in clinical and research settings in Iran.

Investigating the strengths and weaknesses of online education during COVID-19 pandemic from the perspective of professors and students of medical universities and proposing solutions: A qualitative study.

This study aimed to explore the strengths and weaknesses of e-learning during the COVID-19 pandemic from the perspective of its primary stakeholders, namely professors and students, and to provide practical solutions. Design is a qualitative study. We enrolled 22 faculty members and 58 students purposively. Research data were collected through a data collection checklist and via email and continued until the data were saturated. The qualitative content analyses were the basis of analysis in this study. Strengths were presented in 6 themes and 26 subthemes, weaknesses in 5 themes and 23 subthemes, and solutions were presented in 5 themes and 20 subthemes. Save money, time and energy; use modern software and educational technologies; and the ability to individualize education were among the strengths of e-learning. The most important weaknesses related to e-learning include infrastructure difficulties, problems related to the ability of professors and students to use educational systems. The most beneficial solutions offered included improving and upgrading the e-learning infrastructure, empowering professors and students to use educational systems. We concluded that using online teaching has many strengths as well as some weaknesses. Identifying these strengths and weaknesses can help policymakers plan better.

Psychometric properties of the EQ-5D-5L compared with EQ-5D-3L in cancer patients in Iran.

Background and Objective: Psychometric evidence to support the validity and reliability of the EuroQol-5 Dimensions (EQ-5D) in cancer patients is limited. This study aimed to test the validity and reliability of the EQ-5D-5L (5L) in comparison with EQ-5D-3L (3L) in cancer patients. Methods: Data of 650 cancer patients were collected through consecutive sampling method from three largest governmental cancer centers in Iran between June 2021 and January 2022. The data were gathered using the 3L, 5L, and the European Organization for Research and Treatment of Cancer quality of life questionnaire (QLQ-C30) instruments. The 3L and 5L were compared in terms of ceiling effect, discriminatory power, convergent and known-groups validity, relative efficiency, inconsistency, agreement, and reliability. Results: Compared with the 3L, ceiling effect decreased by 27.86%. Absolute and relative informativity of discriminatory power improved by 45.93% and 22.92% in the 5L, respectively. All convergent validity coefficients with 5L were stronger than with 3L. Both 3L and 5L demonstrated good known-groups validity, and the relative efficiency was higher for 5L in 4 out of 7 patients' characteristics. The two instruments showed low overall inconsistency (1.45%) and 92.57% of the differences of observations between the 3L and 5L were within the 95% limit of agreement. The interclass correlation coefficient (ICC) for 3L and 5L indexes were 0.88 and 0.85, respectively, and kappa coefficients in the 3L dimensions (range=0.66-0.92) were higher than the 5L(range=0.64-0.79). Conclusions: The 5L demonstrated to be better than the 3L in terms of ceiling effect, inconsistency, discriminatory power, convergent validity, relative efficiency.

Determination of a cost-effectiveness threshold for cancer interventions in Iran.

Background and objectives: The estimation of a cost- Effectiveness (CE) threshold from the perspective of those who have experienced a life-threatening disease can provide empirical evidence for health policy makers to make the best allocation decisions on limited resources. The aim of the current study was to empirically determine the CE threshold for cancer interventions from the perspective of cancer patients in Iran. Methods: A composite time trade-off (cTTO) task for deriving quality adjusted life-year (QALY) and a double-bounded dichotomous choice (DBDC) approach followed by open-ended question for examining patients' willingness-to-pay were performed. A nationally representative sample of 580 cancer patients was recruited from the largest governmental cancer centers in Iran between June 2021 and January 2022, and data were gathered using face-to-face interviews. The CE threshold was calculated using the nonparametric Turnbull model and parametric interval-censored Weibull regression model. Furthermore, the factors that affect the CE threshold were determined using the parametric model. Results: The estimated CE threshold using the nonparametric Turnbull model and parametric interval-censored Weibull regression model was IRR 440,410,000 (USD 10,485.95) and IRR 595,280,000 (USD 14,173.33) per QALY, respectively. Gender, age, education, income, type of cancer, and current treatment status were significantly associated with the estimated CE threshold. Conclusions: The value of parametric model-based threshold in this study was 1.98 times the Iranian GDP per capita, which was lower than the CE threshold value recommended by the WHO (i.e., 3 times the GDP per capita) for low-and middle-income countries.

Potential limitations in systematic review studies assessing the effect of the main intervention for treatment/therapy of COVID-19 patients: An overview.

Background: Although several studies have assessed the safety, efficacy, and effectiveness of interventions in treating the COVID-19, many of them have limitations that can have an immense impact on their results. This study aims to assess the potential limitations in systematic reviews (SRs) that evaluate the effect of interventions on the treatment of the COVID-19. Methods: PubMed, Scopus, and Web of Sciences (WOS) databases were searched from inception to January 1, 2022. All systematic reviews investigated the effectiveness, efficacy, safety, and outcome of the main intervention (Favipiravir, Remdesivir, Hydroxychloroquine, Ivermectin, Lopinavir/Ritonavir, or Tocilizumab) for the treatment of COVID-19 patients and reported the potential limitations of the included studies. We assessed the quality of the included studies using the Quality Assessment Tool (QAT) for review articles. We conducted a content analysis and prepared a narrative summary of the limitations. Results: Forty-six studies were included in this review. Ninety one percent of the included studies scored as strong quality and the remaining (9%) as moderate quality. Only 29.7% of the included systematic reviews have a registered protocol. 26% of the included studies mentioned a funding statement. The main limitations of the included studies were categorized in 10 domains: sample size, heterogeneity, follow-up, treatment, including studies, design, definitions, synthesis, quality, and search. Conclusion: Various limitations have been reported in all the included studies. Indeed, the existence of limitations in studies can affect their results, therefore, identifying these limitations can help researchers design better studies. As a result, stronger studies with more reliable results will be reported and disseminated. Further research on COVID-19 SRs is essential to improve research quality and also, efficiency among scientists across the world.

Assessment of the properties of the EQ-5D-5L in patients with type 2 diabetes mellitus: a systematic review and meta-analysis.

OBJECTIVE: This study systematically reviews the validity, reliability, and responsiveness of the EQ-5D-5 L in studies of T2DM. METHODS: Relevant articles were retrieved by searching four databases, namely, the Web of Science, Scopus, PubMed, and Cochrane Library up to November 2020 with English language. All stages of the review conducted by two authors and disagreements were solved by consultation with a third reviewer. RESULTS: Of the 1614 identified studies, 46 were remained for review. The EQ-5D-5 L mean scores ranged from 0.314 (0.4) (n = 141) for diabetic patients undergoing hemodialysis to 0.971 (0.082) (n = 56) for diabetic patient without retinopathy. Mean EQ-5D-5 L scores in men (0.847) were higher those in women (0.747). Construct validity and reliability was confirmed in the studies that reported the properties of the EQ-5D-5 L, and responsiveness reported in a study that was good. There were ceiling effects in seven studies. The overall utility value was higher in Japan (0.86, 95% CI: 0.80-0.92, p = 0.0001) thanCanada (0.79, 95% CI: 0.78-0.80, p = 0.81), and the United Kingdom (0.72, 95% CI: 0.64-0.79, p = 0.0001). CONCLUSION: Findings demonstrated validity, reliability of the EQ-5D-5 L in T2DM and the existence of ceiling effects. However, the assessment of responsiveness and sensitivity needs further observations.

Estimating Utility Values for Health States of DFU Patients Using EQ-5D-5L and cTTO.

Health-state utility values of diabetic foot ulcer (DFU) patients are necessary for clinical praxis and economic modeling. The purpose of this study was to estimate utility values in DFU patients using the EuroQol-5-dimension-5-level (EQ-5D-5L) and composite time trade-off (cTTO). The EQ-5D-5L and cTTO were used for estimating utility values. Data were collected from 228 patients referred to the largest governmental diabetes center in the South of Iran, Yazd province. When appropriate, independent sample t-test or analysis of variance test was used to test the difference in the utility values in each of the demographic and clinical characteristics of the patients. Finally, the BetaMix was used to identify predictors of the utility values. The means of EQ-5D-5L and cTTO values were 0.55(SD 0.21) and 0.67(SD 0.23), respectively. Anxiety and pain were the most common problems reported by the patients. The difference between the mean EQ-5D-5L values was significant for age, grade of ulcer, number of comorbidities, and having complications. In addition, variables of gender, age, grade of ulcer, and having complications were significant predictors of the EQ-5D-5L. The difference between the mean cTTO values was significant for age, employment status, grade of ulcer, number of comorbidities, and having complications. Moreover, variables of gender, age, grade of ulcer, number of comorbidities, and developing complications were significant predictors of cTTO. The current study provided estimates of utility values for DFU patients for clinical praxis and economic modeling. These estimates, similar to utilities reported in other studies, were low. Identifying strategies to decrease anxiety/depression and pain in patients is important to improve the utility values.

Health related quality of life in adults with asthma: a systematic review to identify the values of EQ-5D-5L instrument.

INTRODUCTION: The EQ-5D is the most popular generic preference-based instrument used for asthma patients. This study aims to explore the psychometric properties of the EQ-5D-5L instrument in patients with asthma and identify the EQ-5D-5L scores in these patients. METHOD: PubMed, Scopus, Web of Science, Google Scholar and CEA Registry were searched with English language from 2009 until April 2020. Retrieved studies were checked against the inclusion criteria. Reference lists of the included articles were also reviewed. The quality of included articles was evaluated using Mitton checklist and the data were extracted by a reviewer and were checked by a second reviewer. Meta-analysis was done to calculate the overall scores based on type of asthma control. RESULTS: A total of 17 articles were included. The EQ-5D-5L scores ranged from 0.45 to 0.93 and the VAS scores ranged from 35.67 to 83.80. The EQ-5D-5L is higher in well-controlled (0.88, 95% CI: 0.81-0.96, P = 0.0001) than partly controlled (0.80, 95% CI: 0.74-0.85, P = 0.001) and poorly controlled asthma (0.72, 95% CI: 0.67-0.77, P = 0.01). Validity in two studies was weak and, in other studies, it was moderate to strong. Responsiveness of the EQ-5D-5L, that was shown in a study, was less than other generic instruments, and reliability was adequate in only study that had been reported. Ceiling effects were between 8.30% to 35%. CONCLUSION: Higher score of the EQ-5D-5L was consistent with well-controlled asthma patients and those with lower severity of asthma. The assessment of psychometric properties of the EQ-5D-5L needs further observations.

Utility Values in Colorectal Cancer Patients Treated with Chemotherapy.

Calculating utility values in colorectal cancer (CRC) patients under chemotherapy treatment is important for studies of economic evaluations. The EQ-5D-5L and composite time trade-off (cTTO) were used to calculate utility values in 105 patients with CRC in Iran. The mean EQ-5D-5L index and cTTO values were 0.45 ± 0.03 and 0.51 ± 0.02, respectively. Anxiety and pain were the most common problems reported by the patients. The BetaMix showed that lower mean utility values were significantly associated with females, aging, a low level of income, a greater number of comorbidities, and an advanced stage of cancer.

Catastrophic Health Expenditure before and after of the Implementation of Health Sector Evolution Plan in Iran.

Introduction: One of the fundamental goals of health transportation plan (HTP) in Iran is to improve household's financial protection against catastrophic health expenditures (CHE). The aim of this study was to calculate the percentage of catastrophic health expenditures after implementing the plan and compare it with CHE before the plan for the same households. Methods: Data were collected through face-to-face interviews for 400 households. The CHE was calculated using the WHO approach, and relationships between CHE and the variables (having member ≥65 years old, having member ≤5 years old, having disabled member, economic status, health insurance status, dentistry services usage, and inpatient and outpatient services usage) were examined by the Fisher's exact test. Moreover, the impacts of the variables on CHE were assessed by logistic regression model. Stata version 15 was used for data analyses. Results: The exposure of the households to CHE increased from 8.3% in 2011 to 14.2% in 2020, and percentage of the impoverished households due to health expenditures in 2020 was more than that of the 2011 (4.3% vs 7.5%). The economic status, having members ≥65 years, and using dental and inpatient services were the key factors determining the CHE. The most important determinant affecting the exposure to CHE was dental services utilization in 2011 (92.64) and 2020 (122.68). Conclusion: The results showed a negative incremental change for the households facing CHE in this period. The dental and inpatient services need to be more widely covered by basic health insurance and households having members ≥65 years along with the poor households should be exempted from paying some of the healthcare expenditures for improving their financial protection against CHE.

Cost-effectiveness analysis of lung cancer screening with low-dose computed tomography in an Iranian high-risk population.

OBJECTIVE: The results of recent studies have shown that using low-dose computed tomography (LDCT) for screening of lung cancer (LC) improves cancer outcomes. The objective of the current study was to evaluate the cost-effectiveness of LDCT in an Iranian high-risk population. METHODS: A Markov cohort simulation model with four health states was used to evaluate the cost-effectiveness of LDCT from a healthcare system perspective in the people aged 55-74 who smoked 25 or more cigarettes per day for 10-30 years. Cost data were collected, reviewing 324 medical records of patients with LC, and utilities and transition probabilities were extracted from the literature. The Monte Carlo simulation method was applied to run the model. Probabilistic sensitivity analysis and one-way analysis were also performed. RESULTS: LC screening in comparison to a no-screening strategy was costly and effective. The incremental cost-effectiveness ratio of screening versus no-screening was IRR (Iranian rials) 98,515,014.04 which falls below the Iranian threshold of three times GDP (gross domestic product) per capita. One-way and probabilistic sensitivity analyses demonstrated that the results of the economic analysis were robust to variations in the key inputs for both. CONCLUSIONS: Using LDCT for screening of LC patients in a high-risk population is a cost-effective strategy.

Psychometric properties of the SF-6Dv2 in an Iranian breast cancer population.

INTRODUCTION: The Short-Form Six-Dimension version 2 (SF-6Dv2) is the newest preference-based instrument for estimation of quality adjusted life-years (QALYs). The aim of this study is to evaluate the validity and reliability of the SF-6Dv2 in an Iranian breast cancer population. METHODS: The SF-6Dv2 and FACT-B instruments were completed for 416 patients who were recruited from the largest academic center for cancer patients in Iran. The ceiling effects are computed as the proportion of participants reporting no problems in SF-6Dv2 index. Construct validity was evaluated using convergent validity, discriminant validity, and known-groups validity. Reliability was assessed using intra-class correlation coefficient (ICC) and Cohen's kappa value. RESULTS: The ceiling effects of the SF-6Dv2 was 2.16%. Higher scores of all subscales of the FACT-B were associated with patients who reported no problems in each of the SF-6Dv2 dimensions. The correlation between SF-6Dv2 dimensions and FACT-B subscales varied from 0.109 between the role limitation of the SF-6Dv2 and the SWB subscale of the FACT-B to 0.665 between the pain dimension of SF-6Dv2 and the PWB of FACT-B. The lower mean score of SF-6Dv2 was associated with patients with older age, higher education level, more severe current treatment status, and more severe cancer stage status. ICC for the SF-6Dv2 index scores was 0.66, and Kappa values varied from 0.33 for mobility to 0.66 for mental health dimensions. CONCLUSIONS: The validity and reliability of the SF-6Dv2 were satisfaction in a breast cancer population and it can be employed in clinical practice or research.

Mapping QLQ-C30 Onto EQ-5D-5L and SF-6D-V2 in Patients With Colorectal and Breast Cancer From a Developing Country.

OBJECTIVES: Many studies have mapped the QLQ-C30 onto the EQ-5D or the SF-6D utilities; however, these studies were limited to developed countries. So this study aimed to map QLQ-C30 onto the SF-6D version 2 (SF-6D-v2) and EQ-5D-5L using the data collected from patients with colorectal and breast cancer in a developing country. METHODS: A cross-sectional data set of 668 inpatient and outpatient patients with cancer was gathered from 4 teaching hospitals of cancer treatment in Tehran and Yazd from May 2017 to November 2018. The ordinary least squares (OLS) and censored least absolute deviations (CLAD) models were applied to estimate the utility values of both EQ-5D-5L and SF-6D-V2 using the QLQ-C30. Predicted R2 and adjusted R2 were used to evaluate the goodness of fit of the models. Moreover, the predictive performance of 2 models was assessed through estimating the mean absolute error (MAE), root mean square error (RMSE), intraclass correlation coefficients (ICC), and Spearman's rho. The 10-fold cross-validation method was also applied for validation of models. RESULTS: The OLS Model E4 was the best-performing model for EQ-5D-5L (Adj R2 = 71.7%, Pred R2 = 71.15%, MAE = 0.0770, RMSE = 0.1026), and the OLS Model S4 performed best for SF-6D-V2 (Adj R2 = 74.64%, Pred R2 = 73.86%, MAE = 0.0465, RMSE = 0.0621). CONCLUSION: The OLS Model E4 for EQ-5D-5L and the OLS Model S4 for SF-6D-V2 were the best models for policy makers to have more accurate evaluation of the healthcare interventions when the data are gathered through non-preference-based instruments.

Validity and reliability of the EQ-5D-3L (a generic preference-based instrument used for calculating quality-adjusted life -years) for patients with type 2 diabetes in Iran.

BACKGROUND AND AIMS: The psychometric properties of the EQ-5D-3L (a generic preference-based instrument used for calculating quality-adjusted Life -years) have not been known for any type of disease in Iran. This study aimed to assess its validity and reliability in patients with type 2 diabetes. METHODS: Data of 579 patients were collected from the Diabetes Research Center and Clinics in Yazd using EQ-5D-3L, SF-36, and DQoL instruments. The ceiling effects were computed for the EQ-5D-3L index and EQ VAS. The construct validity was assessed by using convergent validity, discriminant validity, and known-groups validity. Reliability was assessed using Cohen's kappa value, Cronbach's alpha, and intra-class correlation coefficient. RESULTS: The ceiling effects of EQ-5D-3L and EQ VAS were 20.18% and 15.33%, respectively. The highest degree of correlation was found between the pain/discomfort of EQ-5D and the BP scale of the SF-36 (0.55). Higher scores of all scales of the DQoL were associated with patients reporting no problems in each EQ-5D dimension. The mean of EQ-5D-3L index and EQ VAS scores were significantly higher in the male, married, and employed patients, and they did not have retinopathy, nephropathy, IHD, hypertension, DFU. The range of kappa values was from 0.39 to 0.71, and value of ICC for the EQ-5D-3L index and EQ VAS was 0.76 and 0.64, respectively. Cronbach's alpha was 0.87 for EQ-5D-3L and 0.74 for EQ VAS. CONCLUSIONS: Our findings demonstrated good construct validity and moderate to good levels of reliability of the EQ-5D-3L for using in the patients with diabetes, and it can be used in research or clinical practice in Iran and other regions of the Middle East.

Mapping the cancer-specific FACT-B onto the generic SF-6Dv2.

INTRODUCTION: The health-related quality of life (HRQoL) data extracted from cancer-specific questionnaires are often non-preference based, while patient preference-based utility data are required for health economic evaluation. This study aimed to map Functional Assessment of Cancer Therapy-Breast (FACT-B) subscales onto the Short Form six Dimension as an independent instrument (SF-6Dv2ind-6) using the data gathered from patients with breast cancer. METHODS: Data for 420 inpatient and outpatient patients with breast cancer were gathered from the largest academic center for cancer patients in Iran. The OLS and Tobit models were used to predict the values of the SF-6Dv2ind-6 with regard to the FACT-B subscales. Prediction accuracy of the models was determined by calculating the root mean square error (RMSE) and mean absolute error (MAE). The relationship between the fitted and observed SF-6Dv2ind-6 values was examined using the Intraclass Correlation Coefficients (ICC). Goodness of fit of models was assessed using the predicted R2 (Pred R2) and adjusted R2 (Adj R2). A tenfold cross-validation method was used for validation of models. RESULTS: Data of 416 patients with breast cancer were entered into final analysis. The model included main effects of FACT-B subscales, and statistically significant clinical and demographic variables were the best predictor for SF-6Dv2ind-6 (Model S3 of OLS with Adj R2 = 61.02%, Pred R2 = 59.25%, MAE = 0.0465, RMSE = 0.0621, ICC = 0.678, AIC = -831.324, BIC = -815.871). CONCLUSION: The best algorithm developed for SF-6Dv2ind-6 enables researchers to convert cancer-specific instruments scores into preference-based scores when the data are gathered using cancer-specific instruments.

Exploring the consistency of the SF-6Dv2 in a breast cancer population.

Background: Short-Form Six-Dimension version 2 (SF-6Dv2) is a multi-attribute utility instrument that can be used in combination with the SF-36v2 (SF-6Dv2SF-36) or as an independent instrument in two forms: six questions (SF-6Dv2ind-6) and 10 questions (SF-6Dv2ind-10). The purpose of this research was to assess the consistency between the results of the SF-6Dv2ind-6 and the SF-6Dv2SF-36 in patients with breast cancer.Research design and methods: This cross-sectional study was carried out on 418 patients with breast cancer. The degree of agreement between the descriptive systems of instruments was calculated using Spearman's correlation coefficient, global consistency index (GCI), and identically classified index (ICI).Results: The average size of the Spearman's correlation coefficients between the descriptive systems of instruments was higher than 0.5. The results of the GCI revealed that the level of agreement between dimensions of the two instruments had a mean of 64.9 (range 32.45-86.8). The SF-6Dv2SF-36 generates statistically higher values than does the SF-6Dv2ind-6, and mean difference between the two instruments was 0.087 for model 3 and 0.027 for model 10.Conclusions: This study provided evidence that the SF-6Dv2SF-36 and the SF-6Dv2ind-6 may produce different answers from patients with breast cancer and lead to a small difference in utility values.