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The Development and Validation of the Perceived Competence Scale for Disaster Mental Health Workforce.

ABSTRACT: OBJECTIVE:This study was conducted to validate a Perceived Competence Scale for Disaster Mental Health Workforce (PCS-DMHW) designed to measure the core competences of mental health workers in disaster response situations at individual and organizational levels. core competences essentially required in disaster response situations were defined on the basis of literature review, focus-group interview with disaster response professionals, and expert judgment. METHODS:The preliminary items of the PCS-DMHW thus generated were administered to 509 participants consisted of mental health professionals and semi-professionals. The data retrieved from questionnaires were equally divided by two halves. The final items were determined through the exploratory factor analysis of the half data (n=255), and the construct validity was tested by performing the confirmatory factor analysis and criterion-related validity test of the remaining half data (n=254). RESULTS:Three factors were derived from the individual competences scale; 1) perceived competence of knowledge and skill, 2) ethic, and 3) qualification. And three factors were derived from the organizational competence scale; 1) teamwork, 2) network, and 3) followship. CONCLUSION:The PCS-DMHW demonstrated fairly high reliability and validity. Finally, the necessity of continuous validation study and the application modalities of this scale in education and training settings were discussed.

SUBMITTER: Yoon HY

PROVIDER: S-EPMC6877459 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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The Development and Validation of the Perceived Competence Scale for Disaster Mental Health Workforce.

Yoon Hyae-Young HY Choi Yun-Kyeung YK

Psychiatry investigation 20191115 11

<h4>Objective</h4>This study was conducted to validate a Perceived Competence Scale for Disaster Mental Health Workforce (PCS-DMHW) designed to measure the core competences of mental health workers in disaster response situations at individual and organizational levels. core competences essentially required in disaster response situations were defined on the basis of literature review, focus-group interview with disaster response professionals, and expert judgment.<h4>Methods</h4>The preliminary ...[more]

PMID: 31760717

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Project description:BackgroundThe family environment is important for explaining individual health behaviour. While previous research mostly focused on influences among family members and dyadic interactions (parent-child), the purpose of this study was to develop a new measure, the Family Health Climate Scale (FHC-Scale), using a family-based approach. The FHC is an attribute of the whole family and describes an aspect of the family environment that is related to health and health behaviour. Specifically, a questionnaire measuring the FHC (a) for nutrition (FHC-NU) and (b) for activity behaviour (FHC-PA) was developed and validated.MethodsIn Study 1 (N=787) the FHC scales were refined and validated. The sample was randomly divided into two subsamples. With random sample I exploratory factor analyses were conducted and items were selected according to their psychometric quality. In a second step, confirmatory factor analyses were conducted using the random sample II. In Study 2 (N=210 parental couples) the construct validity was tested by correlating the FHC to self-determined motivation of healthy eating and physical activity as well as the families' food environment and joint physical activities.ResultsExploratory factor analyses with random sample I (Study 1) revealed a four (FHC-NU) and a three (FHC-PA) factor model. These models were cross-validated with random sample II and demonstrated an acceptable fit [FHC-PA: ?(2)=222.69, df=74, p<.01; ?(2)/df=3.01; CFI=.96; SRMR=.04; RMSEA=.07, CI .06/.08; FHC-NU: ?(2)=278.30, df=113, p<.01, ?(2)/df=2.46, CFI=.96; SRMR=.04; RMSEA=.06, CI .05/.07]. The perception of FHC correlated (p<.01) with the intrinsic motivation of healthy eating (r=.42) and physical activity (r=.56). Moreover, parental perceptions of FHC-NU correlated with household soft drink availability (r=-.31) and perceptions of FHC-PA with the frequency of joint physical activities with the child (r=.51). These patterns were found on the intraindividual and interindividual level.ConclusionsTwo valid instruments measuring the FHC within families were developed. The use of different informants' ratings demonstrated that the FHC is a family level variable. The results confirm the high relevance of the FHC for individuals' health behaviour. The FHC and the measurement instruments are useful for examining health-related aspects of the family environment.

Project description:Disasters have substantial consequences for population mental health. Social media data present an opportunity for mental health surveillance after disasters to help identify areas of mental health needs. We aimed to 1) identify specific basic emotions from Twitter for the greater New York City area during Hurricane Sandy, which made landfall on October 29, 2012, and to 2) detect and map spatial temporal clusters representing excess risk of these emotions.We applied an advanced sentiment analysis on 344,957 Twitter tweets in the study area over eleven days, from October 22 to November 1, 2012, to extract basic emotions, a space-time scan statistic (SaTScan) and a geographic information system (QGIS) to detect and map excess risk of these emotions.Sadness and disgust were among the most prominent emotions identified. Furthermore, we noted 24 spatial clusters of excess risk of basic emotions over time: Four for anger, one for confusion, three for disgust, five for fear, five for sadness, and six for surprise. Of these, anger, confusion, disgust and fear clusters appeared pre disaster, a cluster of surprise was found peri disaster, and a cluster of sadness emerged post disaster.We proposed a novel syndromic surveillance approach for mental health based on social media data that may support conventional approaches by providing useful additional information in the context of disaster. We showed that excess risk of multiple basic emotions could be mapped in space and time as a step towards anticipating acute stress in the population and identifying community mental health need rapidly and efficiently in the aftermath of disaster. More studies are needed to better control for bias, identify associations with reliable and valid instruments measuring mental health, and to explore computational methods for continued model-fitting, causal relationships, and ongoing evaluation. Our study may be a starting point also for more fully elaborated models that can either prospectively detect mental health risk using real-time social media data or detect excess risk of emotional reactions in areas that lack efficient infrastructure during and after disasters. As such, social media data may be used for mental health surveillance after large scale disasters to help identify areas of mental health needs and to guide us in our knowledge where we may most effectively intervene to reduce the mental health consequences of disasters.

Project description:BackgroundThe post-disaster mental health crisis intervention (MHCI) system in China remains immature and unsystematic. We aim to report the perceptions of a large sample of MHCI workers and government administrators and provide recommendations for developing a national mental health disaster response management plan in China.MethodsAn in-depth qualitative study was conducted, collecting data from 20 focus-group discussions and 25 key stakeholder interviews. These recruited participants who had been involved in different types of disaster rescue across 7 provinces/cities where disasters have recently occurred. We used thematic analysis to analyze the data and relevant findings were extracted for policy recommendation.ResultsMental health workers' perspectives were examined in detailed according to four core themes: forms of organization, intervention pathway, intervention strategy and technique, and public health information. Post-disaster MHCI should be approached in teams that are integrated with emergency medicine systems, and be led by unified command management. All levels of local health and family planning commission should prepare post-disaster MHCI work plans and build response teams/emergency centres. Future training for MHCI workers should focus on: building a sense of trust within the team; clarifying each member's role; strengthening the screening, assessment and referrals training for psychological professionals; and providing psychological intervention training for Chinese psychiatrists. It is necessary to set up guiding principles for disaster research ethics, mental health rehabilitation and media interaction.ConclusionsThrough exploring and analyzing the perceptions of current disaster response mental health workers and government administrators, our findings provide essential recommendations for developing a national to county level post-disaster MHCI emergency management plan and can guide the formulation of relevant laws and regulation in China.

Dataset Information

The Development and Validation of the Perceived Competence Scale for Disaster Mental Health Workforce.

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The Development and Validation of the Perceived Competence Scale for Disaster Mental Health Workforce.

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