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The data on exploratory factor analysis of factors influencing employees effectiveness for responding to crisis in Iran military hospitals.

ABSTRACT: The article presents the data on the exploratory analysis of factors involved in employees' effectiveness for responding to crisis in Iran?s military hospitals. This research was a descriptive exploratory study. The statistical population included the 561 medical and nonmedical staff of three military hospitals. Two researcher-made questionnaires were used to collect data, and reliability and validity of the questionnaires were confirmed. The exploratory factor analysis (EFA) method was used to classify, clarify, and explain study factors and the infrastructural structure. At the end, 473 questionnaires were found appropriate for the final analysis. Based on results of the exploratory factor analysis (EFA), 8 criteria were identified as the main factors involved in employees' effectiveness for responding to crisis. According to Friedman test results, organizational factors were the most important factors influencing employees' effectiveness with a mean score of 3.76 of 5. Responding to crisis was the most important variable factor involved response to crisis with a mean score of 3.74 of 5.

SUBMITTER: Amerioun A

PROVIDER: S-EPMC6140286 | biostudies-literature | 2018 Aug

REPOSITORIES: biostudies-literature

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The data on exploratory factor analysis of factors influencing employees effectiveness for responding to crisis in Iran military hospitals.

Amerioun Ahmad A Alidadi Abouzar A Zaboli Rohollah R Sepandi Mojtaba M

Data in brief 20180524

The article presents the data on the exploratory analysis of factors involved in employees' effectiveness for responding to crisis in Iran׳s military hospitals. This research was a descriptive exploratory study. The statistical population included the 561 medical and nonmedical staff of three military hospitals. Two researcher-made questionnaires were used to collect data, and reliability and validity of the questionnaires were confirmed. The exploratory factor analysis (EFA) method was used to ...[more]

PMID: 30229024

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Project description:BackgroundUS military engagements have consistently raised concern over the array of health outcomes experienced by service members postdeployment. Exploratory factor analysis has been used in studies of 1991 Gulf War-related illnesses, and may increase understanding of symptoms and health outcomes associated with current military conflicts in Iraq and Afghanistan. The objective of this study was to use exploratory factor analysis to describe the correlations among numerous physical and psychological symptoms in terms of a smaller number of unobserved variables or factors.MethodsThe Millennium Cohort Study collects extensive self-reported health data from a large, population-based military cohort, providing a unique opportunity to investigate the interrelationships of numerous physical and psychological symptoms among US military personnel. This study used data from the Millennium Cohort Study, a large, population-based military cohort. Exploratory factor analysis was used to examine the covariance structure of symptoms reported by approximately 50,000 cohort members during 2004-2006. Analyses incorporated 89 symptoms, including responses to several validated instruments embedded in the questionnaire. Techniques accommodated the categorical and sometimes incomplete nature of the survey data.ResultsA 14-factor model accounted for 60 percent of the total variance in symptoms data and included factors related to several physical, psychological, and behavioral constructs. A notable finding was that many factors appeared to load in accordance with symptom co-location within the survey instrument, highlighting the difficulty in disassociating the effects of question content, location, and response format on factor structure.ConclusionsThis study demonstrates the potential strengths and weaknesses of exploratory factor analysis to heighten understanding of the complex associations among symptoms. Further research is needed to investigate the relationship between factor analytic results and survey structure, as well as to assess the relationship between factor scores and key exposure variables.

Project description:BackgroundCost-effectiveness analysis provides a crucial means for evidence-informed decision-making on resource allocation. This study aims to elicit individuals' willingness to pay (WTP) for one additional quality-adjusted life-year (QALY) gained from life-saving treatment and associated factors in Kermanshah city, western Iran.MethodsWe conducted a cross-sectional study on a total of 847 adults aged 18 years and above to elicit their WTP for one additional QALY gained by oneself and a family member using a hypothetical life-saving treatment. We used a multistage sampling technique to select the samples, and the Iranian version of EQ-5D-3L, and visual analogue scale (VAS) measures to obtain the participants' health utility value. The Tobit regression model was used to identify the factors affecting WTP per QALY values.ResultsThe mean WTP value and standard deviation (SD) was US$ 862 (3,224) for the respondents. The mean utility values using EQ-5D-3L and VAS methods for respondents were 0.779 and 0.800, respectively. Besides, the WTP for the additional QALY gained by the individual participants using the EQ-5D-3L and VAS methods were respectively US$ 1,202 and US$ 1,101, while the estimated value of the family members was US$ 1,355 (SD = 3,993). The Tobit regression models indicated that monthly income, education level, sex, and birthplace were statistically significantly associated (p < 0.05) with both the WTP for the extra QALY values using the EQ-5D-3L and the VAS methods. Educational level and monthly income also showed statistically significant relationships with the WTP for the additional QALY gained by the family members (p < 0.05).ConclusionOur findings indicated that the participants' WTP value of the additional QALY gained from the hypothetical life-saving treatment was in the range of 0.20-0.24 of the gross domestic product (GDP) per capita of Iran. This value is far lower than the World Health Organization (WHO) recommended CE threshold value of one. This wide gap reflects the challenges the health system is facing and requires further research for defining the most appropriate CE threshold at the local level.

Project description:BACKGROUND:Hospitals have been one of the major targets for phishing attacks. Despite efforts to improve information security compliance, hospitals still significantly suffer from such attacks, impacting the quality of care and the safety of patients. OBJECTIVE:This study aimed to investigate why hospital employees decide to click on phishing emails by analyzing actual clicking data. METHODS:We first gauged the factors that influence clicking behavior using the theory of planned behavior (TPB) and integrating trust theories. We then conducted a survey in hospitals and used structural equation modeling to investigate the components of compliance intention. We matched employees' survey results with their actual clicking data from phishing campaigns. RESULTS:Our analysis (N=397) reveals that TPB factors (attitude, subjective norms, and perceived behavioral control), as well as collective felt trust and trust in information security technology, are positively related to compliance intention. However, compliance intention is not significantly related to compliance behavior. Only the level of employees' workload is positively associated with the likelihood of employees clicking on a phishing link. CONCLUSIONS:This is one of the few studies in information security and decision making that observed compliance behavior by analyzing clicking data rather than using self-reported data. We show that, in the context of phishing emails, intention and compliance might not be as strongly linked as previously assumed; hence, hospitals must remain vigilant with vulnerabilities that cannot be easily managed. Importantly, given the significant association between workload and noncompliance behavior (ie, clicking on phishing links), hospitals should better manage employees' workload to increase information security. Our findings can help health care organizations augment employees' compliance with their cybersecurity policies and reduce the likelihood of clicking on phishing links.

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The data on exploratory factor analysis of factors influencing employees effectiveness for responding to crisis in Iran military hospitals.

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The data on exploratory factor analysis of factors influencing employees effectiveness for responding to crisis in Iran military hospitals.

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