Prevalence and intensity of catastrophic health care expenditures in Iran from 2008 to 2015: a study on Iranian household income and expenditure survey.

BACKGROUND: Households exposure to catastrophic health expenditure is a valuable measure to monitor financial protection in health sector payments. The present study had two aims: first, to estimate the prevalence and intensity of catastrophic health expenditures (CHE) in Iran. Second, to investigate main factors that influence the probability of CHE. METHODS: CHE is defined as an occasion in which a household's out-of-pocket (OOP) spending exceeds 40% of the total income that remains after subtraction of living expenses. This study used the data from eight national repeated cross-sectional surveys on households' income and expenditure. The proportion of households facing CHE, as a prevalence measure, was estimated for rural and urban areas. The intensity of CHE was also calculated using overshoot and mean positive overshoot (MPO) measures. The factors affecting the CHE were also analyzed using logistic random effects regression model. We also used ArcMap 10.1 to display visually disparities across the country. RESULTS: An increasing number of Iranians has been subject to catastrophic health care costs over the study period in both rural and urban areas (CHE = 2.57% in 2008 and 3.25% in 2015). In the same period, the overshoot of CHE and the mean positive overshoot ranged from 0.26% to 0.65% and from 12.26% to 20.86%, respectively. The average absolute monetary value of OOP spending per month has been low in rural areas over the years, but the prevalence of CHE has been higher than urban areas. Generally put, rural settlement, higher income, receiving inpatient and outpatient services, and existence of elderly people in the household led to increase in CHE prevalence (p < 0.05). Interestingly, provinces with more limited geographical and cultural accessibility had the lowest CHE. CONCLUSIONS: According to the findings, Iran's healthcare system has failed to realize the aim of five-year national development plan regarding CHE prevalence (1% CHE prevalence according to the plan). Therefore, revision of financial health care protection policies focusing on pre-payments seems mandatory. For instance, these policies should extend the interventions that target low-income populations particularly in rural areas, provide more coverage for catastrophic medical services in basic benefit packages, and develop supplementary health insurance.

Hospital service quality - patient preferences - a discrete choice experiment.

PURPOSE: High quality healthcare is important to all patients. If healthcare is felt to be high quality, then patients will be satisfied, and the relationship between patients and healthcare providers will improve. Patient satisfaction is among the most commonly used service quality indicators; however, it is not fully known which factors influence satisfaction. Therefore, it is necessary to pay attention to the elements that affect both healthcare quality and patient satisfaction. Nowadays, several methods are used in health economics to assess patient preferences, prioritize them and help health policy makers improve services. Discrete choice experiment (DCE) is one method that is useful to elicit patient preferences regarding healthcare services. The purpose of this paper is to apply DCE and elicit patient preferences in medical centers to rank certain healthcare quality factors. DESIGN/METHODOLOGY/APPROACH: The descriptive, analytical study used a cross-sectional questionnaire that the authors developed. In total, 12 scenarios were chosen after applying fractional factorials. The questionnaire was completed by patients who were admitted to Kerman General Teaching Hospitals, South-East Iran in 2015. Patient preferences were identified by calculating the characteristics' marginal effects and prioritizing them. The generalized estimation equation (GEE) model was used to determine attribute effects on patient preferences. FINDINGS: In total, 167 patients completed the questionnaire. Prioritizing the attributes showed that "physical examination" was the most important attribute. Other key features included "cleanliness," "training after discharging," "medical staff attention," "waiting for admission" and "staff attitude." All attributes were statistically significant ( p<0.05) except staff behavior. No demographic characteristic was significant. PRACTICAL IMPLICATIONS: To increase hospital patient satisfaction, health policy makers should develop programs to enhance healthcare quality and hospital safety by increasing physical examination quality and other services. ORIGINALITY/VALUE: To estimate DCE independent variables, logistic regression models are usually used. The authors used the GEE model to estimate discrete choice experiment owing the explanatory variables' dependency.

A Comparison of the Psychometric Properties of the EQ-5D-Y-3L and EQ-5D-Y-5L Using Paediatric Multi-Instrument Comparison (P-MIC) Study Data.

BACKGROUND: The EQ-5D-Y is a generic health-related quality of life (HRQoL) measure suitable for children and adolescents. There are two versions of the instrument, which differ in response levels: the three- (Y-3L) and five-level (Y-5L) versions. The Y-5L has been developed to improve the psychometric performance of the Y-3L. OBJECTIVE: This study aims to assess the psychometric properties of Y-5L and to compare the performance of Y-5L with Y-3L in separate self- and proxy-reported samples. METHODS: Both versions of the instrument were administered to children/adolescents (self-report) or caregivers (proxy-report) of Australian children aged 5-18 years. The data were gathered as part of the Australian Paediatric Multi-Instrument Comparison (P-MIC) study. The Y-5L and Y-3L were evaluated in terms of ceiling effects, criterion validity, inconsistency, informativity, and test-retest reliability in both proxy and self-complete populations. RESULTS: Overall, 5945 respondents completed both the Y-3L and Y-5L, with 2083 proxy and 3862 self-completed responses. Ceiling effects were lower in the Y-5L than the Y-3L. Items from the same domains show the strongest correlation for both samples. Regarding informativity, the Y-5L demonstrated more discriminatory power, indicated by having a higher Shannon diversity index in all domains of the Y-5L compared with the Y-3L. Test-retest showed fair agreement between responses at baseline and follow-up. CONCLUSION: The Y-5L has demonstrated moderate validity and fair reliability for use in measuring HRQoL in children and adolescents, both when self-reported by children or proxy reported. Overall, Y-5L is a dependable and valid extension from the Y-3L.

Comparing Generic Paediatric Health-Related Quality-of-Life Instruments: A Dimensionality Assessment Using Factor Analysis.

BACKGROUND: Widely used generic instruments to measure paediatric health-related quality of life (HRQoL) include the EQ-5D-Y-5L, Child Health Utility 9 Dimension (CHU-9D), Paediatric Quality of Life Inventory (PedsQL) and Health Utilities Index (HUI). There are similarities and differences in the content of these instruments, but there is little empirical evidence on how the items they contain relate to each other, and to an overarching model of HRQoL derived from their content. OBJECTIVE: This study aimed to explore the dimensionality of the instruments using exploratory factor analysis (EFA). METHODS: Data from the Australian Paediatric Multi-Instrument Comparison (P-MIC) Study were used. EQ-5D-Y-5L, CHU-9D, PedsQL and HUI data were collected via proxy or child self-report data. EFA was used to investigate the underlying domain structure and measurement relationship. Items from the four instruments were pooled and domain models were identified for self- and proxy-reported data. The number of factors was determined based on eigenvalues greater than 1. A correlation cut-off of 0.32 was used to determine item loading on a given factor, with cross-loading also considered. Oblique rotation was used. RESULTS: Results suggest a six-factor structure for the proxy-reported data, including emotional functioning, pain, daily activities, physical functioning, school functioning, and senses, while the self-report data revealed a similar seven-factor structure, with social functioning emerging as an additional factor. CONCLUSION: We provide evidence of differences and similarities between paediatric HRQoL instruments and the aspects of health being measured by these instruments. The results identified slight differences between self- and proxy-reported data in the relationships among items within the resulting domains.

Understanding the valuation of paediatric health-related quality of life: a qualitative study protocol.

INTRODUCTION: There is evidence from previous studies that adults value paediatric health-related quality of life (HRQoL) and adult HRQoL differently. Less is known about how adolescents value paediatric HRQoL and whether their valuation and decision-making processes differ from those of adults. Discrete choice experiments (DCEs) are widely used to develop value sets for measures of HRQoL, but there is still much to understand about whether and how the methods choices in the implementation of DCE valuation tasks, such as format, presentation and perspective, affect the decision-making process of participants. This paper describes the protocol for a qualitative study that aims to explore the decision-making process of adults and adolescents when completing DCE valuation tasks. The study will also explore the impact of methodological choices in the design of DCE studies (including decisions about format and presentation) on participants' thinking process. METHODS AND ANALYSIS: An interview protocol has been developed using DCE valuation tasks. Interviews will be conducted online via Zoom with both an adolescent and adult sample. In the interview, the participant will be asked to go through some DCE valuation tasks while 'thinking aloud'. After completion of the survey, participants will then be asked some predetermined questions in relation to various aspects of the DCE tasks. Interviews will be recorded and transcribed and analysed using a thematic analysis approach. ETHICS AND DISSEMINATION: Ethics approval for this study has been received for the adult sample (UTS ETH20-9632) as well as the youth sample (UTS ETH22-6970) from the University of Technology Sydney Human Research Ethics Committee. Results from this study will inform the methods to be used in development of value sets for use in the health technology assessment of paediatric interventions and treatments. Findings from this study will also be disseminated through national/international conferences and peer-reviewed journals.

Comparative Psychometric Performance of Common Generic Paediatric Health-Related Quality of Life Instrument Descriptive Systems: Results from the Australian Paediatric Multi-Instrument Comparison Study.

OBJECTIVE: The aim of this study was to compare the psychometric performance of common generic paediatric health-related quality-of-life instrument descriptive systems (PedsQL generic core 4.0, EQ-5D-Y-3L, EQ-5D-Y-5L, Child Health Utility 9D [CHU9D], Assessment of Quality of Life 6D [AQoL-6D], and Health Utilities Index Mark 3 [HUI3]) by child age, report type, and health status. METHODS: Data for children aged 5-18 years were from the Australian Paediatric Multi-Instrument Comparison study. Ceiling effects, test-retest reliability, known-group validity, convergent and divergent validity, and responsiveness were assessed in the total sample and by child age (5-12 years vs 13-18 years), report type (self- vs proxy report), and health status. Instruments were scored using an exploratory level sum score (LSS) approach. RESULTS: Survey data were available for 5945 children, with follow-up data available for 2346 children. The EQ-5D-Y-3L demonstrated ceiling effects. The PedsQL, EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D demonstrated acceptable test-retest reliability. All instruments demonstrated known-group, convergent, and divergent validity. The EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D demonstrated responsiveness to improvements in health and the PedsQL, EQ-5D-Y-3L, EQ-5D-Y-5L, and CHU9D to worsening health. The AQoL-6D and HUI3 had inconclusive test-retest reliability and responsiveness evidence due to small sample size. Importantly, ceiling effects, test-retest reliability and responsiveness varied by subgroup. CONCLUSION: Results reflect instrument performance using LSSs, which may differ to utility scores. In the total sample, the EQ-5D-Y-5L and CHU9D descriptive systems demonstrated evidence of good performance (i.e., meeting prespecified criteria) across all psychometric attributes tested. Performance varied by child age and report type, indicating room for considerations by population and study.

Collecting Paediatric Health-Related Quality of Life Data: Assessing the Feasibility and Acceptability of the Australian Paediatric Multi-Instrument Comparison (P-MIC) Study.

BACKGROUND: Collecting data using paediatric health-related quality of life (HRQoL) instruments is complex, and there is a paucity of evidence regarding the comparative performance of paediatric HRQoL instruments. The Australian Paediatric Multi-Instrument Comparison (P-MIC) study was conducted to address this paucity of evidence. This study aims to understand the (1) feasibility of collecting data using paediatric HRQoL instruments in a research setting and (2) acceptability and feasibility for children and their caregivers to complete common paediatric HRQoL instruments using data from the Australian P-MIC study. METHODS: Data were from children aged 5-18 years from the Australian P-MIC study. Demographics, cost and time for data collection, dropout rates, and inconsistent responses were used to assess Aim 1. Participant-reported difficulty and completion time were used to assess Aim 2. Subgroup analyses included child age, report type (self/proxy), sample recruitment pathway (hospital/online), and online panel sample type (general population/condition groups). RESULTS: Overall, 5945 P-MIC participants aged 5-18 years completed an initial survey, of these, 2346 also completed the follow-up survey (39.5% response rate). Compared with online panel recruitment, hospital recruitment was more costly and time-consuming and had higher follow-up completion (33.5% versus 80.4%) (Aim 1). Data were of similar good quality (based on inconsistent responses) for both recruitment pathways (Aim 1). Participants completed each instrument in <3 min, on average, and >70% reported each instrument as easy to complete (Aim 2). CONCLUSIONS: The Australian P-MIC study was able to collect good-quality data using both online panel and hospital recruitment pathways. All instruments were acceptable and feasible to children and their caregivers.

Comparing multi-attribute utility instruments: CP-6D, a Cerebral palsy specific instrument, vs AQoL-4D.

BACKGROUND: Economic-evaluations of Cerebral palsy (CP) were based on utility estimates of health-related quality of life (HRQoL) from generic multi-attribute utility instruments (MAUIs). However, generic instruments had limited use as they could not capture some of the important aspects of living with CP. The Cerebral palsy 6 Dimension (CP-6D) is a disease specific MAUI. In this study, we compared the results of CP-6D with the Assessment of Quality of Life (AQoL-4D), a generic MAUI, and tested the criterion validity of the CP-6D in the general population. METHODS: An online survey of the Australian general population (n = 2002), who completed both the AQoL-4D and CP-6D MAUIs, was conducted. Validity was assessed from the correlations between the domains, items and instruments. ANOVA and t-tests were used to assess the instrument's discrimination in different social demographic categories. RESULT: There was a moderate correlation between the instruments (0.64). Differences in socio-demographic characteristics showed a medium effect size (p < 0.001) in both instruments and had a similar effect on utility weights in both instruments. Although the CP-6D was more sensitive to changes in income and education. CONCLUSIONS: Our results suggest that CP-6D and AQoL-4D were measuring a similar underlying construct. Both instruments responded similarly to socio-demographic differences.

Economic evaluation of reproductive carrier screening for recessive genetic conditions: a systematic review.

INTRODUCTION: Autosomal recessive (AR) and x-linked (XL) conditions are rare but collectively common which impact millions of people globally on morbidity, mortality and costs. Advanced medical technologies allow prospective parents to make informed reproductive decisions to avoid having affected children. Economic evaluations targeting on reproductive carrier screening (RCS) for AR and/or XL conditions have been conducted, but there has not been a systematic review in this area. AREAS COVERED: A systematic search of economic evaluations for RCS was undertaken using the following databases - EMBASE, MEDLINE and SCOPUS. The search strategy was designed to capture full economic evaluations related to RCS since 1990. This review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) strategy. The included 23 studies adopted various types of methodologies to conduct economic evaluations. The majority of studies examined a single condition. The various clinical strategies and screened conditions caused the different cost-effectiveness conclusions in the published studies. EXPERT OPINION: Establishing a validated and practical clinical strategy of RCS and investigating the cost-effectiveness of multiple conditions in one economic evaluation are critical for implementing RCS in the future. Further economic evaluations are essential to provide evidence-based practice for decision-makers.

Utility Values for the CP-6D, a Cerebral Palsy-Specific Multi-Attribute Utility Instrument, Using a Discrete Choice Experiment.

BACKGROUND AND OBJECTIVE: The CP-6D is a new preference-based measure derived from the CPQOL, a cerebral palsy-specific quality-of-life questionnaire. The CP-6D contains six dimensions, each with five levels. A preference-based value set is required to score the CP-6D on a utility scale and render it suitable for cost-utility analysis. This study aims to estimate the utility value set for the CP-6D for interventions for people with cerebral palsy (CP). METHODS: A discrete choice experiment was designed and administrated to an adult Australian online panel. Each respondent answered 12 choice sets. Each choice was presented as a combination of the health state from the CP-6D and duration spent in that health state before death. Conditional logit and mixed logit regression were used to analyse the data. The utility values were estimated as a ratio of the coefficient of each dimension to the coefficient of the duration. RESULTS: A total of 2002 participants completed the survey and responded to each choice. Generally, the dimension levels were monotonic, meaning the coefficients reflected the ordered nature of the levels in each dimension. The dimensions relating to manual ability, social well-being and acceptance had the greatest effect on choice. The value of the worst 'pits' health state is - 0.582. CONCLUSION: This study provides the first CP-specific utility value set that can potentially be used in cost-utility analyses of interventions for people with CP where the CPQOL has been applied, both prospectively and retrospectively.

Using Rasch and factor analysis to develop a Proxy-Reported health state classification (descriptive) system for Cerebral Palsy.

PURPOSE: The Cerebral Palsy quality of life instrument is a well-known health-related quality of life measure for children with Cerebral Palsy. Due to its length it is not suitable as the basis of a preference-based instrument. The aim of this study is to develop a short version of the Cerebral Palsy quality of life instrument that can subsequently be scored as a multi-attribute utility instrument through assigning preference-based values. METHODS: A sample of 473 participants who have a child with Cerebral Palsy completed the Cerebral Palsy quality of life instrument(proxy-version) instrument. After deleting questions related only to the proxy, the dimensional structure was obtained using exploratory factor analysis. Extended Rasch analysis was then undertaken to test the psychometric performance of items and select the best item to represent each dimension. Expert opinion was sought to confirm the dimensions and items. RESULTS: A six-dimension classification system was identified, in which four domains were extracted from the factor analysis. Following expert opinion, two other domains were also added, as these were considered to have significant impact on health-related quality of life in children with Cerebral Palsy. CONCLUSIONS: The combination of Factor and Rasch analysis along with consultation with patients, clinicians and experts in health-related quality-of-life instrument development, has resulted in a short version of the Cerebral Palsy quality of life instrument.IMPLICATION FOR REHABILITATIONThis study provides the first classification system for children with Cerebral Palsy.The Cerebral Palsy-six dimension (CP-6D) survey, which is a short version of Cerebral Palsy Quality Of Life instrument, can be timesaving when measuring quality of life in children with Cerebral Palsy.The short version (CP-6D) can be used in preference based measurement and generate quality adjusted life years for children with Cerebral Palsy.

Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods.

OBJECTIVES: In recent years, discrete choice experiments (DCEs) have become frequently used to generate utility values, but there are a diverse range of approaches to do this. The primary focus of this systematic review is to summarise the methods used for the design and analysis of DCEs when estimating utility values in both generic and condition-specific preference-based measures. METHODS: Published literature using DCEs to estimate utility values from preference-based instruments were identified from MEDLINE, Embase, Cochrane Library and CINAHL using PRISMA guidelines. To assess the different DCE methods, standardised information was extracted from the articles including the DCE design method, the number of choice sets, the number of DCE pairs per person, randomisation of questions, analysis method, logical consistency tests and techniques for anchoring utilities. The CREATE checklist was used to assess the quality of the studies. RESULTS: A total of 38 studies with samples from the general population, students and patients were included. Values for health states described using generic multi attribute instruments (MAUIs) (especially the EQ-5D) were the most commonly explored using DCEs. The studies showed considerable methodology and design diversity (number of alternatives, attributes, sample size, choice task presentation and analysis). Despite these differences, the quality of articles reporting the methods used for the DCE was generally high. CONCLUSION: DCEs are an important approach to measure utility values for both generic and condition-specific instruments. However, a gold standard method cannot yet be recommended.

Developing a cerebral palsy-specific preference-based measure for a six-dimensional classification system (CP-6D): protocol for a valuation study.

INTRODUCTION: Cerebral palsy (CP) is a lifelong condition. The CP quality of life (CPQOL) instrument is a frequently used disease-specific instrument to assess health-related quality of life (HRQoL) in people with CP, but it cannot be used to generate quality-adjusted life years (QALY) which are the basis of cost utility analysis (CUA). Generic utility instruments (such as the EQ-5D or SF-6D) that are used to value HRQOL may be insensitive to small but important health changes in children with CP. This study aims to generate a preference-based scoring algorithm for the CP six dimensions (CP-6D), a classification system developed from the CPQOL. METHODS AND ANALYSIS: A discrete choice experiment with duration (DCEtto) will be administrated to value health states described by the CP-6D classification system. These health states will be presented to members of Australian general population and parents of children with CP via an online survey. Conditional logit regression will be used to produce the utility algorithm for CP-6D. ETHICS AND DISSEMINATION: The Griffith University Human Research Ethics Committee approved for the study (reference HREC/number 2018/913). The developed algorithm can be applied to previous and future economic evaluation of interventions and treatments targeting people with CP which have used either the CPQOL or CP-6D.

Patient preferences for hospital quality: case study of iran.

BACKGROUND: Due to the importance and uniqueness of the characteristics of the health sector, one of the most important priorities of the Ministry of Health is measuring the efficiency and quality of services which are provided for the people who refer to the health sectors. In all health systems, responding to the needs and wishes of patients is a crucial priority. OBJECTIVES: The main purpose of this study is to prioritize the features of the services from the perspective of patients, by applying the Logit model. MATERIALS AND METHODS: This study is a descriptive cross-sectional study and in terms of results it can be classified to an applied study. Data were collected by a questionnaire filled by 330 patients in Imam Khomeini hospital, and for estimating the utility function the software STATA version 10 was applied. In this study the preferences of patients who admitted to hospitals were identified by calculating the marginal utility of the characteristics, where we also used Marginal Rate substitutions (MRS). RESULTS: Determination of the marginal utility characteristics shows that the first priority in receiving hospital services is the type of examination, and the last priority in the cleaning service of the sections and restrooms . Waiting time between hospital arrivals and admission has a negative sign which indicates a negative impact on patient preference. CONCLUSIONS: The results of this study are consistent with studies by Kara Hanson and Barbara Mc Clean, where in their study they also showed that by the patient's perspective, hospital examination is the most important quality characteristic (coefficient = 2.78). In other words, the ultimate purpose of the hospital visit is the quality of service and examination, where many patients are willing to wait longer or pay higher costs to get the best services.