Dataset Information

Development and psychometric properties of COVID-19 related Healthcare Student stress scale (CHSSS).

ABSTRACT:

Background

There is no valid and reliable tool to measure COVID-19 healthcare stress felt by healthcare students. A scale was developed to assess COVID-19 stress in healthcare students and its psychometrics was examined.

Methods

This is a two phases mixed-method study including a qualitative stage consisting of student interview and literature review to develop content of the tool. In the quantitative stage, the psychometrics of the scale was examined in 2020-2021.

Results

The COVID-19 related healthcare student stress scale (CHSSS) featured five factors including fear of catching coronavirus, social constraints, changes in education, non-compliance of health protocols and worrying news and overload information, which totally explained 51.75% of the total variance.

Conclusion

Validity and reliability of CHSSS with 17 items were supported to measure COVID-19 stress in healthcare students as a self-assessment tool. Researchers can utilize this tool to assess COVID-19 stress in healthcare students and introduce policies and intervention especially designed for healthcare students.

SUBMITTER: Baghcheghi N

PROVIDER: S-EPMC8923965 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Development and psychometric properties of COVID-19 related Healthcare Student stress scale (CHSSS).

Baghcheghi Nayereh N Mesri Mehdi M Karimi Mahmood M Bigdeli Shoaleh S Koohestani Hamid Reza HR

BMC psychology 20220316 1

<h4>Background</h4>There is no valid and reliable tool to measure COVID-19 healthcare stress felt by healthcare students. A scale was developed to assess COVID-19 stress in healthcare students and its psychometrics was examined.<h4>Methods</h4>This is a two phases mixed-method study including a qualitative stage consisting of student interview and literature review to develop content of the tool. In the quantitative stage, the psychometrics of the scale was examined in 2020-2021.<h4>Results</h4> ...[more]

PMID: 35296364

Similar Datasets

Project description:BackgroundMoral distress appears when a healthcare professional is not able to carry out actions in accordance with their professional ethical standards. The Moral Distress Scale-Revised is the most widely used to assess levels of moral distress, but it is not validated in Spanish. The aim of the study is to validate the Spanish version of the Moral Distress Scale - utilised within a sample of Spanish healthcare professionals treating COVID-19 patients.MethodsThe original (english) and the portuguese and french versions of the scale were translated into spanish by native or bilingual researchers and reviewed by an academic expert in ethics and moral philosophy as well as by a clinical expert.Research designDescriptive cross-sectional study carried out using a self-reporting online survey. The data was collected between June- November 2020. A total of 661 professionals responded to the survey (N = 2873).Participantshealthcare professionals with more than two weeks of experience treating COVID-19 patients at the end of their life and working in the public sector of the Balearic Islands Health Service (Spain). Analyses included descriptive statistics, competitive confirmatory factor analysis, evidence on criterion-related validity and estimates of reliability. The study was approved by the Research Ethics Committee at the University of Balearic Islands.ResultsAn unidimensional model in which a general factor of moral distress explained by 11 items of the Spanish version of the MDS-R scale was an adequate representation of the data: χ2(44) = 113.492 (p 0.001); Comparative Fit Index = 0.965; Root Mean Square Error of Approximation = 0.079[0.062,0.097]; and Standarized Root Mean-Square = 0.037. Evidence of reliability was excellent: Cronbach's alpha = 0.886 and McDonald's omega = 0.910. Moral distress was related to discipline, with nurses having statistically significant higher levels than physicians. Additionally, moral distress successfully predicted professional quality of life, with higher levels of moral distress being related to poorer quality of life.ConclusionsThe Spanish version of Moral Distress Scale-Revised can be used as a reliable and valid measurement tool for the evaluation of moral distress experienced by health professionals. This tool will be highly useful for managers and applicable to a variety of healthcare professionals and settings.

Project description:ObjectiveAmid the COVID-19 pandemic, social stigma towards COVID-19 infection has become a major component of public discourse and social phenomena. As such, we aimed to develop and validate the COVID-19 Public Stigma Scale (COVID-PSS).Design and settingNational-based survey cross-sectional study during the lockdown in Thailand.ParticipantsWe invited the 4004 adult public to complete a set of measurement tools, including the COVID-PSS, global fear of COVID-19, perceived risk of COVID-19 infection, Bogardus Social Distance Scale, Pain Intensity Scale and Insomnia Severity Index.MethodsFactor structure dimensionality was constructed and reaffirmed with model fit by exploratory and confirmatory factor analyses and non-parametric item response theory (IRT) analysis. Psychometric properties for validity and reliability were tested. An anchor-based approach was performed for classifying the proper cut-off scores.ResultsAfter factor analysis, IRT analysis and test for model fit, we created the final 10-item COVID-PSS with a three-factor structure: stereotype, prejudice and fear. Face and content validity were established through the public and experts' perspectives. The COVID-PSS was significantly correlated (Spearman rank, 95% CI) with the global fear of COVID-19 (0.68, 95% CI 0.66 to 0.70), perceived risk of COVID-19 infection (0.79, 95% CI 0.77 to 0.80) and the Bogardus Social Distance Scale (0.50, 95% CI 0.48 to 0.53), indicating good convergent validity. The correlation statistics between the COVID-PSS and the Pain Intensity Scale and Insomnia Severity Index were <0.2, supporting the discriminant validity. The reliability of the COVID-PSS was satisfactory, with good internal consistency (Cronbach's α of 0.85, 95% CI 0.84 to 0.86) and test-retest reproducibility (intraclass correlation of 0.94, 95% CI 0.86 to 0.96). The proposed cut-off scores were as follows: no/minimal (≤18), moderate (19-25) and high (≥26) public stigma towards COVID-19 infection.ConclusionsThe COVID-PSS is practical and suitable for measuring stigma towards COVID-19 in a public health survey. However, cross-cultural adaptation may be needed.

Dataset Information

Development and psychometric properties of COVID-19 related Healthcare Student stress scale (CHSSS).

Background

Methods

Results

Conclusion

Publications

Development and psychometric properties of COVID-19 related Healthcare Student stress scale (CHSSS).

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets