Socioeconomic inequality in unmet outpatient healthcare needs among people living in urban informal settlements in Sanandaj city, Iran.

BACKGROUND: The growing trend of informal settlements is a serious humanitarian crisis. Unmet need for health care services is an indicator to measure the state of equality and access to healthcare services. This study, for the first time in Iran, examined the prevalence of unmet needs for outpatient healthcare services and related socioeconomic inequalities among residents of informal settlements in Sanandaj city. METHODS: This cross-sectional study was conducted on informal settlements of Sanandaj city with a sample size of 1345 people. Data were collected using a questionnaire. Multivariate logistic regression was used to determine significant predictors of unmet needs for healthcare services. Concentration index (C) and concentration curve (CC) were calculated to measure inequality in the prevalence of unmet needs for healthcare services. RESULTS: The prevalence of unmet needs for outpatient healthcare services was 31.7%. Financial and physical barriers were the most common reasons for not using the needed services. The highest unmet need was related to dental (80.6%) and rehabilitation services (78.8%). Being elderly with about 2.3 times (OR: 2.37, 95% CI: 1.19-4.75), not having a job with about 1.7 times (OR: 1.70, 95% CI: 1.13-2.57) and having a low economic status with about 4 times (OR: 4.46, 95% CI: 2.39-9.70) increased the odds of experiencing unmet need for outpatient healthcare services. The value of concentration index showed that unmet need for outpatient healthcare services was significantly concentrated among people with lower economic status (C= -0.330, 95% CI: -0.432 to -0.227). CONCLUSION: The unmet need is high among people living in informal settlements of Sanandaj city and a significant part of the residents of these settlements does not have access to required healthcare services. Regardless of the needs of people living in these settlements, who constitute a large population of Iran, access to universal health coverage is not possible in such areas. Removing the identified obstacles and causes behind the unmet needs requires the interdisciplinary participation of all actors, including the government, the nation, and civil society.

The effect of COVID-19 on utilization of chronic diseases services.

OBJECTIVES: The aim of the present study is to evaluate the impact of Covid-19 on utilization of chronic diseases services. METHODS: Interrupted time-series design was used to examine the utilization of chronic diseases services before and during the Covid-19 pandemic among hospitals in Iran. Chronic obstructive pulmonary disease (COPD), asthma, type 2 diabetes, heart failure, and chemotherapy were selected as a proxy to indicate the impact of Covid-19 on utilization of chronic diseases services. Data were collected in 24 sites from 12 months before the onset of Covid-19 (from March 2019 to February 2020) to 12 months during the Covid-19 pandemic (February 2020 to March 2021). RESULTS: A total of 7,039,378 services were provided, of which 51.92% were provided for women and 62.73% for >65 age group. A sudden decrease was observed in monthly utilization of services during the Covid-19 pandemic; ranging from 13.91 (95% CI = -21.73, 6.10, P = 0.001) for chemotherapy to 606.39 (95% CI = -1040.72, 172.06, P = 0.009) for heart failure services per 100 thousand population. A decrease was observed in COPD services; 15.28 services compared with the period before Covid-19. Subsequently, the monthly utilization trends of asthma, type 2 diabetes, and chemotherapy services increased significantly (P < 0.05). DISCUSSION: Although chronic diseases are a factor in more severe form of Covid-19, their failure to seek diagnostic, prevention and treatment services has somewhat complicated the issue.

Simulation of the potential impact of climate change on malaria incidence using artificial neural networks (ANNs).

Climate change can increase the spread of infectious diseases and public health concerns. Malaria is one of the endemic infectious diseases of Iran, whose transmission is strongly influenced by climatic conditions. The effect of climate change on malaria in the southeastern Iran from 2021 to 2050 was simulated by using artificial neural networks (ANNs). Gamma test (GT) and general circulation models (GCMs) were used to determine the best delay time and to generate the future climate model under two distinct scenarios (RCP2.6 and RCP8.5). To simulate the various impacts of climate change on malaria infection, ANNs were applied using daily collected data for 12 years (from 2003 to 2014). The future climate of the study area will be hotter by 2050. The simulation of malaria cases elucidated that there is an intense increasing trend in malaria cases under the RCP8.5 scenario until 2050, with the highest number of infections occurring in the warmer months. Rainfall and maximum temperature were identified as the most influential input variables. Optimum temperatures and increased rainfall provide a suitable environment for the transmission of parasites and cause an intense increase in the number of infection cases with a delay of approximately 90 days. ANNs were introduced as a practical tool for simulating the impact of climate change on the prevalence, geographic distribution, and biological activity of malaria and for estimating the future trend of the disease in order to adopt protective measures in endemic areas.

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.

Evidence of self-organized criticality in time series by the horizontal visibility graph approach.

Determination of self-organized criticality (SOC) is crucial in evaluating the dynamical behavior of a time series. Here, we apply the complex network approach to assess the SOC characteristics in synthesis and real-world data sets. For this purpose, we employ the horizontal visibility graph (HVG) method and construct the relevant networks for two numerical avalanche-based samples (i.e., sand-pile models), several financial markets, and a solar nano-flare emission model. These series are shown to have long-temporal correlations via the detrended fluctuation analysis. We compute the degree distribution, maximum eigenvalue, and average clustering coefficient of the constructed HVGs and compare them with the values obtained for random and chaotic processes. The results manifest a perceptible deviation between these parameters in random and SOC time series. We conclude that the mentioned HVG's features can distinguish between SOC and random systems.

Prevalence of elective cosmetic surgery and its relationship with socioeconomic and mental health: A cross-sectional study in west of Iran.

Background and Aims: The aim of this study was to investigate the prevalence and desire towards performing elective cosmetic surgery and its relationship with socioeconomic, mental, and spiritual health in Sanandaj, the capital of Kurdistan province in the west of Iran. Methods: This cross-sectional descriptive-analytical study was performed on 492 subjects in Sanandaj using multistage sampling method. Data collection tools included two checklists and two questionnaires. Data analysis was performed using the Chi-square test and multiple logistics regression model by the help of SPSS software version 20. Results: The mean (standard deviation) age of participants was 32.58 (9.67) years. The prevalence of cosmetic surgery and the desire to perform it were 12.8% (n = 63) and 19.1% (n = 94), respectively. The most common type of cosmetic surgery was rhinoplasty with 5.5% (n = 27). The prevalence of symptoms of mental disorders among people with cosmetic surgery and people willing to perform cosmetic surgery was significantly higher than all subjects (p < 0.001). Female gender (odds ratio [OR] = 1.98; 95% confidence interval [CI]: 1.06-3.68) and having mild (OR = 3.01 95% CI: 1.06-3.68) and moderate to severe symptoms of mental disorder (OR = 7.59; 95% CI: 3.90-14.75) were among the influential variables on performing cosmetic surgery. Conclusion: Both the prevalence and desire towards performing cosmetic surgery are high in Sanandaj and this needs the attention of health policy makers. Designing targeted interventions with an emphasis on the findings of this study is proposed to reduce these practices.

Activities and challenges of volunteers in confrontation with COVID-19: A qualitative study in Iran.

The control and prevention of COVID-19 requires the active and voluntary participation of the people. Because volunteers experience different activities and challenges, the present study aimed to identify the activities and challenges of volunteers in the face of COVID-19. The present study was conducted with a qualitative approach and conventional content analysis method among 35 volunteers in the field of COVID-19 using snowball sampling and semi-structured interviews. Data management was performed using MAXQDA-2018 software and its scrutiny was done by the Graneheim and Lundman analysis method. After analyzing the data, 2 main categories and 15 subcategories were obtained, including 1- Activities (instruction and training; production and distribution of hygiene items; economic aid; psychological and social support for COVID-19 affected people; cooperation with government organizations to implement quarantine; environmental disinfection; cooperation with and support of the medical staff; encouraging and persuading people to participate in voluntary work; attending and cooperating in high-risk centers) and 2- Challenges (fear and worry of getting infected; rejection; being different from other voluntary activities; experience of failure and helplessness; the difficulty of the recruitment and cooperation process; lack of adequate instruction on how to help). Volunteers have played wide and diverse roles in confrontation with COVID-19 and have been able to provide various types of support to government, health and social organizations and the general public in various ways, but due to the special circumstances of the COVID-19 epidemic, they have experienced many challenges at the same time.

Unmet health care needs among pregnant women during COVID-19 pandemic and its determinants in Kurdistan province, Iran: A cross-sectional study.

Background and Aims: The aim of this study was to assess unmet needs for health care and its determinants during COVID-19 pandemic among pregnant women in Iran. Methods: This cross-sectional study was performed among pregnant women in Kurdistan province in 2020 with a sample size of 800 people who were selected by multistage sampling method. Data were collected using a structured questionnaire that was completed through interviews. Also, multiple logistic regression was used to determine the relationship between independent variables and outcome variable. Statistical tests were performed using Stata software package. Results: The highest unmet needs for health care were related to dental services with 66%, rehabilitation services with 58.6%, and psychological services with 43.2% and the lowest were related to hospital services with 12%, midwifery services with 15.6%, and physician visit services with 39.1%. The most important reasons for unmet needs for health care were fear of getting COVID-19 and the cost of the services. The variables of age group and spouse education for physician visit services; age group for midwifery services; age group, education and employment status for dental services; age group, supplementary insurance and economic status for rehabilitation services; and age group and economic status for psychological services were significantly associated with unmet needs for health care (p < 0.05). Conclusion: A significant percentage of health care needs of pregnant women was unmet, for which the fear of getting COVID-19 and financial barriers were the main reasons.

Reasons for informal payments from the perspective of health care providers and recipients: a qualitative study in Iran.

BACKGROUND: Informal payments are one of the major obstacles to health system reform in many developing countries, and its elimination is on the agenda of health system policymakers in many countries, including Iran. This study was conducted to identify the causes of informal payments in the Iranian health system. METHODS: This was a qualitative and exploratory study. The study environment included the Ministry of Health, physicians' offices, medical universities, and hospitals and health centers. The study population included health care providers (physicians and hospital staff, managers, supervisors, and nurses) and health care recipients (patients or patients who had a history of dealing with informal payments). Data were collected using open-ended questions and semi-structured interviews. Snowball sampling method was used to select managers, chief executive officers (CEOs) and nurses. Convenience sampling was used to select physicians due to their lack of participation and cooperation. Content analysis method was used to analyze the data. RESULTS: Reasons for informal payments were divided into 4 themes including: Economic factors (improper tariff valuation of services; failure to increase tariffs proportionate to inflation; lack of comprehensive participation of stakeholders in determining tariffs; tariff inconsistency in the public, private and charity sectors; etc.); socio-cultural factors (decreased social capital of the medical community among the people; improving the quality of life; incorrect comparison of providers' income levels with the income of doctors in other countries; existence of a culture of gratitude and appreciation; health as a priority for society; pride of service recipients; pride of service providers; etc.); service delivery challenges (high professional skills of the doctor; use of modern medical equipment; the monopoly of some doctors, etc.) and legal-political factors (inadequate monitoring by upstream organizations; lack of strict rules; difficulty of proving informal payments; presence of stakeholders in management and policy making processes). CONCLUSIONS: Knowing the causes of informal payments can help reduce or eliminate it. The results of this study identified the causes of informal payments in the Iranian health system. Accurate knowledge of the needs and motivations of both health care providers and recipients can be effective in accurately identifying and eliminating this phenomenon.

Efficacy of Covexir® (Ferula foetida oleo-gum) treatment in symptomatic improvement of patients with mild to moderate COVID-19: A randomized, double-blind, placebo-controlled trial.

The SARS-CoV-2 COVID-19 pandemic has emerged as an unprecedented emergency state in healthcare system and global challenge. In recent decade, the function of exogenous H2 S in the treatment of respiratory diseases has been investigated using H2 S-donor agents. Ferula foetida is a medicinal plant that is traditionally used in respiratory diseases including asthma and viral respiratory diseases. The oleo-gum of this plant is a rich source of several organic sulfides including thiophenes, disulfides and polysulfide derivatives, which can act as H2 S-donor agents. The purpose of this study was to investigate the efficacy of Covexir® (F. foetida oleo-gum) treatment as a rich source of H2 S-donor compounds in clinical presentations of patients with COVID-19. The efficacy of Covexir® was evaluated in a randomized, double-blind, placebo-controlled trial in outpatients with COVID-19. Covexir® could significantly inhibit cough when compared to the placebo group (p < .01 and p < 001, respectively). Moreover, there was a significant difference (p < 001) between the two groups in dyspnea symptom at follow-up interval of 7 day after receiving Covexir®. Furthermore, on days 3 and 7, statistically significant differences were observed in myalgia, anorexia, anosmia, and sense of taste severity between two groups. Our findings revealed that Covexir® was very safe in the treatment of COVID-19 patients with mild to moderate symptoms and it can be recommended to improve clinical presentations of patients with COVID-19 such as cough, shortness of breath, myalgia, anorexia, anosmia, and sense of taste.

Explaining the challenges and adaptation strategies of nurses in caring for patients with COVID-19: a qualitative study in Iran.

BACKGROUND: Nurses, as the primary human resource in the fight against COVID-19, encounter several obstacles and concerns. As a result, the current study used a qualitative method to describe the problems and adaptation techniques of nurses caring for COVID-19 patients. METHODS: The current study used a qualitative conventional content analysis technique with 30 nurses working in COVID-19 wards in Tehran hospitals. Purposive sampling, snowball sampling, and semi-structured interviews were used to get access to participants and gather data. The data was examined using conventional qualitative content analysis and the MAXQDA-18 program. To assess the quality of study findings, Guba and Lincoln's trustworthiness criteria were fulfilled. RESULTS: The data analysis revealed two main categories and sixteen subcategories: (1) experiences and challenges (lack of protective equipment, high work pressure, marginalized physical health, problems related to the use of protective equipment, being excluded, a lack of a supportive work environment, problems related to patients, psychological problems, fear, marginalized personal and family life, and the challenge of communicating with patients' families); and (2) adaptation strategies for work conditions (performing religious-spiritual activities, creating an empathetic atmosphere in the workplace, spiritualizing their work, trying to convince the family and gaining their support, and strengthening their sense of self-worth and responsibility). CONCLUSION: Nurses' working conditions can be improved by providing adequate protective equipment, a suitable work environment, and more social and financial support; paying more attention to nurses' physical and mental health; and considering appropriate communication mechanisms for nurses to communicate with their families and patients' families.

Lived Experiences and Challenges of the Families of COVID-19 Victims: A Qualitative Phenomenological Study in Tehran, Iran.

Being COVID-19 positive and then dying causes a slew of personal, familial, and social issues for family members. Therefore, the current study was carried out to analyze the lived experiences and issues of COVID-19 victims' families in Tehran, Iran. The phenomenological approach was used in the qualitative analysis of 21 first-degree relatives of COVID-19 victims. From August 22 to October 21, 2020, data was gathered by phone (4 people) and in-person (17 people) using semi-structured interviews. The subjects were chosen through purposeful and snowball sampling. The MAXQDA-2018 program was used to organize the data, and the Colaizzi analytical technique was used to analyze it. Guba and Lincoln's criteria were also used to assess the findings' quality. After analyzing the data, 2 main categories and 14 subcategories were extracted, including (1) challenges in caring for a COVID-19 patient (being rejected, limited access to medical facilities, dissatisfaction with the behavior of medical staff, disruption of family life, the challenge of managing family members' behavior with the patient, and living with doubts and worries (2) challenges after a COVID-19 patient's death (incomplete farewell to the corpse, unbelievability of the death, ambiguity and tension in the burial process, lonely burial, the twinge of conscience, worry about not respecting the deceased, incomplete condolences, and abandonment). The troubles of victims' families can be ameliorated by developing the skills of caring for COVID-19 patients at home, providing medical and psychological services to families before and after the patient's death, appropriately informing the families to guarantee them about dignity and respect and respect of the deceased at the interment, and developing a culture of virtual condolence to provide emotional support to survivors.

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.

Catastrophic health expenditures for children with disabilities in Iran: A national survey.

OBJECTIVE: The aim of this study was to investigate the percentage of households with disabled children aged 0-8 years who had faced catastrophic health expenditures (CHEs) due to the health costs of these children in Iran. METHODS: This cross-sectional study was carried out on 2000 households with disabled children aged 0-8 years in five provinces of Iran in 2020. Data were collected using the World Health Survey questionnaire and face-to-face interview. Determinants of CHE were identified using logistic regression. RESULTS: 32.7% of households with disabled children had faced CHE. Head of household being female (Adjusted OR = 18.89, 95%CI: 10.88-29.42), poor economic status of the household (Q1: Adjusted OR = 20.26, 95% CI, 11.42-35.94; Q2: Adjusted OR = 8.27, 95%CI, 4.45-15.36; Q3: Adjusted OR = 13.88, 95%CI, 7.89-24.41), lack of supplementary insurance by a child with disabilities (Adjusted OR = 6.13, 95%CI, 3.39-11.26), having a child with mental disability (Adjusted OR = 2.71, 95%CI, 1.60-4.69), and type of basic health insurance (having Iranian Health Insurance: Adjusted OR = 2.20, 95%CI, 1.38-3.49; having Social security insurance: Adjusted OR = 1.66, 95%CI, 1.06-2.61) significantly increased the chances of facing CHE. CONCLUSION: A significant percentage of households with disabled children had faced CHE because of their disabled child's health costs. The key determinants of CHE should be considered by health policy-makers in order to more financial protection of these households.

The health-related quality of life in Iranian patients with COVID-19.

BACKGROUND: COVID-19 is a public health emergency with a high mortality rate and it reduces the patient's Health-Related Quality of Life (HRQoL) significantly. This effect is measured in the current study. METHODS: In a cross-sectional study in Iran, 320 randomly selected treated patients from COVID-19 were studied. To collect the required data, we applied a questionnaire that included socio-demographic factors, clinical characteristics, and questions on the patients' HRQoL. Time trade-off (TTO) approach was used to measure the lost HRQoL attributed to COVID-19. Besides, we applied a two-limit Tobit regression model to determine the effects of the socio-demographic factors on patients' health utility and the visual analogue scale approach was used to estimate the perceived total current health status. RESULTS: The overall mean (SE) and median (IQR) of the health utility values were 0.863 (0.01) and 0.909 (0.21) respectively. These values for the traders (those who were willing to lose a part of their remaining time of life to avoid the disease) were estimated at 0.793 (0.01) and 0.848 (0.17), respectively. The lowest amount of utility value belonged to the elderly (mean (SE) = 0.742 (0.04); median (IQR) = 0.765 (0.42)) and those living in rural areas (mean (SE)) = 0.804 (0.03); median (IQR) = 0.877 (0.30)). The univariate analysis showed that age, place of residence, and household size had a statistically significant effect on health utility. Moreover, findings of the regression analysis indicated that the participants' age and hospitalization status were the key determinants of COVID-19 health utility value. CONCLUSION: COVID-19 is associated with a substantial and measurable decrease in HRQoL. This decline in HRQoL can be directly compared with that induced by systemic health states.

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 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.