The current study presents a new conceptual framework for physician-induced demand that comprises several influential components and their interactions. This framework was developed on the basis of the conceptual model proposed by Labelle. To identify the components that influenced induced demand and their interactions, a scoping review was conducted (from January 1980 to January 2017). Additionally, an expert panel was formed to formulate and expand the framework. The developed framework comprises 2 main sets of components. First, the supply side includes 9 components: physicians' incentive for pecuniary profit or meeting their target income, physicians' current income, the physician/population ratio, service price (tariff), payment method, consultation time, type of employment of physicians, observable characteristics of the physician, and type and size of the hospital. Second, the demand side includes 3 components: patients' observable characteristics, patients' non-clinical characteristics, and insurance coverage. A conceptual framework that can clearly describe interactions between the components that influence induced demand is a critical step in providing a scientific basis for understanding physicians' behavior, particularly in the field of health economics.

Background: Social determinants have a significant impact on children’s development and their abilities and capacities, especially in early childhood. They can bring about inequity in living conditions of children and, as a result, lead to differences in various dimensions of development including the social, psychological, cognitive and emotional aspects. We aimed to identify and analyze the social determinants of Early Childhood Development (ECD) in Iran and provide policy implications to improve this social context. Methods: In a qualitative study, data were collected through semi-structured interviews with 40 experts from October 2017 to June 2018. Based on Leichter’s (1979) framework and using the deductive approach, two independent researchers conducted the data analysis. We used MAXQDA.11 software for data management. Results: We identified challenges related to ECD context in the form of 8 themes and 22 subthemes in 4 analytical categories relevant to the social determinants of ECD including: Structural factors (economic factors: 6 subthemes, political factors: 2 subthemes), Socio-cultural factors (the socio-cultural setting of society: 6 subthemes, the socio-cultural setting of family: 4 subthemes), Environmental or International factors (the role of international organizations: 1 subtheme, political sanctions: 1 subtheme), and Situational factors (genetic factors: 1 subtheme, the phenomenon of air pollution: 1 subtheme). We could identify 24 policy recommendations to improve the existing ECD context from the interviews and literature. Conclusion: With regard to the challenges related to the social determinants of ECD, such as increasing social harms, decreasing social capital, lack of public awareness, increasing socio-economic inequities, economic instability, which can lead to the abuse and neglect of children or unfair differences in their growth and development, the following policy-making options are proposed: focusing on equity from early years in policies and programs, creating integration between policies and programs from different sectors, prioritizing children in the welfare umbrella, empowering families, raising community awareness, and expanding services and support for families, specially the deprived families subject to special subsidies.

In recent times, the use of health technologies in the diagnosis and treatment of diseases experienced considerable and accelerated growth. The goal of the

Recent years have witnessed a strong tendency to apply economic evidence as a guide for making health resource allocation decisions, especially those related to reimbursement policies. One such measure is the use of the cost-effectiveness threshold as a benchmark. This study explored the threshold for use in the health system of Iran by determining society’s preferences. A cross-sectional household survey based on the contingent valuation method was administered to a representative general population of 1002 in Tehran, Iran from April to June 2015. The survey was intended to estimate the respondents’ willingness-to-pay (WTP) preferences for one quality-adjusted life year (QALY) gained. The valuation scenarios featured 12 vignettes on mild to severe diseases that can change people’s quality of life. The mean of WTP for QALY was estimated using different health instruments, and the determinants of such willingness were analyzed using the Heckman selection model. WTP for QALY varied depending on the severity of a disease and the instrument used to determine health preferences. Mean low health state value were associated with high valuation. The best estimated WTP values ranged from US$1032 to US$2666 and 0.22–0.56 of Iran’s local gross domestic product (GDP) per capita in 2014. Except for educational level, significant variables differed across different disease scenarios. Generally, a high health state valuation for target diseases, high income, high educational level, and being married were associated with high WTP for QALY. From the general public’s perspective, the monetary value of QALY for mild to severe diseases with no risk of death was less than one GDP per capita. Therefore, the obtained valuation range is recommended as reference only for the adoption of interventions designed to improve quality of life. Future studies should estimate the threshold of interventions for life-threatening diseases or formulate transparent policies in such contexts.