ReviewDer Anaesthesist2017
[Impact assessment of inadequate hospital disaster management : Reflection based on a risk model].
Review in Der Anaesthesist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
- [Special emergency situations and hazard control in German hospitals-A survey on the current state].Die Anaesthesiologie · 2023Article
- [Resilience of the critical infrastructure in hospitals : Categorization and quantification as a basis for optimization].Die Anaesthesiologie · 2023Article
- [Hospital disaster planning in south-western Germany. A survey of 214 clinics].Notfall & rettungsmedizin · 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccording to legal regulations alarm and emergency plans have to be developed and kept current in hospitals. However, often neither the hospital administration, nor the medical employees and nursing staff pay the necessary attention to these alarm and evacuation plans. In particular, risks and consequences - including financial ones - due to insufficient planning, are not adequately considered.
objectivesRisks in hospitals are assessed based on a risk analysis. The risk assessment evaluates, whether the risk is acceptable, critical or unacceptable. Parameters for the risk analysis are the magnitude of damage and number of affected people. The intention of this paper is to evaluate whether there is a connection between estimated risk, quality of risk planning, and financial damage. MATERIALS AND
methodsWe visualized the risk analysis as a two-dimensional matrix. In addition, we introduced disaster planning quality as a third dimension and calculated the dependency between risk and planning quality and also between the resulting damage level and the planning quality.
resultsWe showed that a poor disaster planning quality increases the unacceptable risk exponentially. Risk assessment can also draw conclusions about the extent of financial damage caused, for example fires, terrorist attacks or infrastructure failure. The amount of damage can be described as a function depending on the planning deficit of emergency planning. The worse the planning quality, the higher the amount of damages for non-tolerable risks can be.
conclusionsRisk management means recognizing risks, assessing risks and managing risks. In hospitals, this mostly means using a critical incident reporting system (CIRS), however risk management in the sense of disaster planning is largely unknown. With a three-dimensional risk matrix, we showed a clear correlation between the quality of disaster planning and relative risk or financial damage. To substantiate the presented theoretical considerations, however, further research must be designed and implemented.
Indexed as
Identifiers
28210762What 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.