Showing 3 results for Delphi
Mr Mohebbi, M Yunesian, K Nadafi, R ,
Volume 4, Issue 2 (9-2008)
Abstract
Background and objectives: The scattered state of villages both from their geographic aspect and the distance between residential units within a single village has made the task of supply, distribution and monitoring the quality of water a difficult one. Ideas of experienced people in the field of rural water quality control, has been obtained to reach gain a view on existing difficulties in supplying safe water to villages and the ways to overcome them.
Methods: Using a three-iteration Delphi procedure, consensus was built and measured among eleven managers and experts of rural water quality control. Given the large number of opinions and views ,the problems were discussed and were given priority according to the alphabetical order of the names of the participants.
Results: The difficulties were summarized as of being, the main source of water supply, economic, human resources , facilities, cultural and extra organization issues.
Conclusion: The cooperation rate was 100% in this study and most of the problems were concerning no credible financial support in supplying of costs for the maintenance facilities, upkeep of networks and the incorrect choice made in selecting of the water resource. We can overcome to these problems by implementing reforms, teaching, retraining, constant supervision and efficient management of the working staff , supervision of special operations projects including mending of breaks in pipelines and thus could lead to a more efficient distribution to the villages on time.
H Sajadi, M Vameghi, F Mohammadi Shahboulaghi , D Ali, Sh Mohaqeqi Kamal ,
Volume 14, Issue 1 (6-2018)
Abstract
Background and Objectives: Children’s well-being is a multidimensional construct that precedes various aspects of children's lives. This study sought to identify the main areas of children's wellbeing in Iran and their domains, components, and indicators that can be used to measure the well-being of children in Iran.
Methods: In this Delphi study, 30 experts that had educational, research, and executive experiences in various areas of children’s life were consulted. The dimensions, components, and indicators of children’s wellbeing were extracted through a review of the literature and views of the experts and children. The Delphi method was applied in three rounds. The dimensions and components with a higher-than-average score were selected and the percentage of Delphi members’ agreement with related indicators was measured.
Results: Generally, 25 components and 110 indicators related to 7 domains (physical health, safety and risks, economical situation, family, personal and social well-being, education, housing and living conditions) were selected by Delphi members. Consensus on the relevancy of indicators, proportionality, and comprehensiveness was 100%, 95%, and 86%, respectively.
Conclusion: The components and indicators suggested in this study can help to create a composite index for monitoring and comparing the status of the children’s wellbeing between different provinces of Iran in different times. It can also show the strengths and weaknesses of the policies and programs related to children’s wellbeing and help the government to adopt appropriate policies for the whole country as well as each province.
Nafiseh Salehnia, Abbas Assari Arani, Hossein Sadeghi Saghdel, Alireza Olyaeemanesh,
Volume 18, Issue 4 (3-2023)
Abstract
Background and Objectives: Health promotion is a crucial task for policymakers. Therefore, this study aims to identify the key factors that determine population health in Iran and illustrate the causal relationships between these factors.
Methods: The research was conducted using a mixed-method approach in three stages. First, macro social determinants of health were identified by analyzing available resources from 2000 to 2019. Screening of factors was carried out through the fuzzy Delphi method and a survey involving 15 experts. Finally, the causal relationships between the social determinants of health were depicted using a fuzzy cognitive map.
Results: Initially, 96 health determinants were identified at the national and global levels. After the screening, 8 factors that had less significance in population health were excluded. In terms of causal relationships, the economic system emerged as the most important and influential factor, with a centrality degree of 21.06 and an out-degree of 10.91. Following that, governance and policy-making, as well as national policies, were ranked with centrality degrees of 20.25 and 20.19, respectively.
Conclusion: Irrespective of the causal relationships, the health system holds the utmost importance in population health. However, when considering the causal relationships, the economic system takes precedence as the most critical factor, while the health system does not rank among the top three factors. Therefore, the analysis of fuzzy cognitive maps assists policymakers in understanding priorities and the interconnectedness between sectors in developing and implementing health-oriented policies across all sectors, enabling the adoption of the most effective policies.
