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In a disaster aftermath, pharmacists have the potential to provide essential health services and contribute to the maintenance of the health and well-being of their community. Despite their importance in the health care system, little is known about the factors that affect pharmacists’ disaster preparedness and associated behaviors.
Study Objective:
The goal of this study was to determine the factors that influence disaster preparedness behaviors and disaster preparedness of Australian pharmacists.
Methods:
A 70-question survey was developed from previous research findings. This survey was released online and registered Australian pharmacists were invited to participate. Multiple linear regression was used to determine the factors that influenced preparedness and preparedness behaviors among pharmacists.
Results:
The final model of disaster preparedness indicated that 86.0% of variation in preparedness was explained by disaster experience, perceived knowledge and skills, colleague preparedness, perceived self-efficacy, previous preparedness behaviors, perceived potential disaster severity, and trust of external information sources. The final model of preparedness behaviors indicated that 71.1% of variation in previous preparedness behaviors can be explained by disaster experience, perceived institution responsibility, colleague preparedness, perceived likelihood of disaster, perceived professional responsibility, and years of practice as a pharmacist.
Conclusion:
This research is the first to explore the significant factors affecting preparedness behaviors and preparedness of Australian pharmacists for disasters. It begins to provide insight into potential critical gaps in current disaster preparedness behaviors and preparedness among pharmacists.
Given the increasing importance of disaster preparedness in Tehran, the capital of Iran, interventions encouraging disaster preparedness behavior (DPB) are needed. This study was conducted to show how an elicitation method can be used to identify salient consequences, referents, and circumstances about DPB and provide recommendations for interventions and quantitative research.
Method
A theory-based qualitative study using a semi-structured elicitation questionnaire was conducted with 132 heads of households from 22 districts in Tehran, Iran. Following the Theory of Planned Behavior (TPB), six open-ended questions were used to record the opinion of people about DPB: advantages of engaging in DPB; disadvantages of doing so; people who approve; people who disapprove; things that make it easy; and things that make it difficult. Content analysis showed the categories of salient consequences, reference groups, and circumstances.
Results
The three most frequently mentioned advantages obtained from inhabitants of Tehran were health outcomes (eg, it helps us to save our lives, it provides basic needs, and it protects us until relief workers arrive); other salient advantages were mentioned (eg, helps family reunification). The main disadvantage was preparedness anxiety. Family members were the most frequently mentioned social referent when people were asked who might approve or disapprove of their DPB. The two main circumstances perceived to obstruct DPB included not having enough knowledge or enough time.
Conclusion
The results of this qualitative study suggest that interventions to encourage DPB among Tehran inhabitants should address: perceived consequences of DPB on health and other factors beyond health; barriers of not having enough knowledge and time perceived to hinder DPB; and social approval. More accurate research on salient beliefs with close-ended items developed from these open-ended data and with larger sample sizes of Tehran inhabitants is necessary. Research with other stakeholder groups is needed to understand their perceptions about DPB in creating the people’s social environment.
NajafiM, ArdalanA, AkbarisariA, NoorbalaAA, ElmiH. Salient Public Beliefs Underlying Disaster Preparedness Behaviors: A Theory-Based Qualitative Study. Prehosp Disaster Med. 2017;32(2):124–133.
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