ArticleJournal of education and health promotion2019
Disaster risk governance in Iran: Document analysis.
Article in Journal of education and health promotion, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Validation and deepening of factors affecting the establishment of the national incident management system in disasters: a qualitative study based on a systematic review.BMC research notes · 2026Pooled it
- Assessment of Intraorganizational Collaboration in the health sector during Disasters: Exploring a Valid and Reliable Assessment Tool for Disaster Risk Management.International journal of preventive medicine · 2022Article
- Exploration of the primary needs of health care services for earthquake victims in the west of Iran.Journal of education and health promotion · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDisaster risk is a product of a combination of hazard, exposure, and vulnerability. Governance in the health system is a multifaceted sphere, with political, economic, and legal dimensions. Disaster risk governance is an analytical framework employed for assessing the capacity of institutional governance. This study has been conducted to investigate the current status of national strategy documents concerned with disaster risk governance in Iran through document analysis. MATERIALS AND
methodsThe investigated documents were collected through requests from the secretariat and the archives. 102 documents were analyzed. Twelve documents in the domain of accountability, 7 in participation, 9 in state and nonstate actor, 14 in knowledge sharing, 21 in sustainable developments, and 19 documents in integrated risk management were analyzed. The process of analysis included selecting documents and evaluating and analyzing them by content analysis method.
resultsDocuments coded according to the main areas of policymaking in disaster risk governance were analyzed, and sub-component and related topics were deduced in each domain. The acquired themes include unity of command, trustee, commitment, capacity prosperity, align strategy, information synergy, knowledge enhancement, sustainable security, justice clarity, land use planning, climate change adaptation, environment reform, wisdom, environment, diplomacy, capacity and coherence.
conclusionsDisaster good governance is strengthened by the trustee, commitment, capacity prosperity, align strategy, and organize. Information synergy and knowledge enhancement are effective in the culture of prevention. Collective wisdom, diplomacy, and capacity coherence raise the alignment of public organizations and the government in the risk management process.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.