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1.
PLoS One ; 17(6): e0268976, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-35657938

RESUMO

INTRODUCTION: Few studies have considered the impact of COVID-19 on the mental health of healthcare workers (HCWs) in the Kingdom of Saudi Arabia (KSA). We estimated the prevalence and severity of psychological distress and characterized predisposing risk factors among HCWs in KSA during the COVID-19 pandemic. METHODS: We conducted a cross-sectional online survey of 1,985 HCWs from 6 hospitals across the country designated with caring for COVID-19 patients between April 16 and June 21, 2020. Our data analysis was performed using logistic regressions. Ordered logistic regressions were also performed using forward stepwise model selection to explore the effects of risk factors on psychological distress. RESULTS: The prevalence of psychological distress reported by HCWs in KSA was high, ranging from mild-moderate to severe in severity. Younger HCWs, women, those in contact with COVID-19 patients, and those who either had loved ones affected or who were themselves affected by COVID-19 were the most at-risk of psychological distress. Risk factors such as insomnia, loneliness, fear of transmission, and separation from loved ones most significantly predicted elevated levels of distress among HCWs. CONCLUSIONS: Increasing psychological distress was commonly reported by HCWs during the early months of COVID-19 pandemic in KSA. Public health policy makers and mental health professionals must give special attention to risk factors that predispose HCWs in KSA to psychological distress.


Assuntos
COVID-19 , Angústia Psicológica , COVID-19/epidemiologia , Estudos Transversais , Feminino , Pessoal de Saúde , Humanos , Pandemias , SARS-CoV-2 , Arábia Saudita/epidemiologia
2.
Int J Ment Health Syst ; 13: 12, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-30891083

RESUMO

BACKGROUND: The World Mental Health-Composite International Diagnostic Interview (CIDI) 3.0, originally in English, is a fully-structured interview designed for the assessment of mental disorders. Although Arabic translations of CIDI from countries like Lebanon and Iraq exist, a Modern Standard Arabic translation was developed to suit the Saudi population. While the translation model used in the present paper has been used to translate instruments in Asian and European languages, there is no study to the best of our knowledge which has used this specific model to translate a validated instrument from English to Arabic. CASE PRESENTATION: This paper describes the Saudi adaptation of CIDI 3.0. The TRAPD team translation model-comprising of translation, review, adjudication, pretesting and documentation-was implemented to carry out the Saudi adaptation of CIDI 3.0. Pretests involving cognitive interviewing and pilot study led to translation revisions which consequently confirmed that Saudi respondents had a good understanding of various items of the instrument. The adaptation procedures for the Saudi CIDI 3.0 were well documented and the instrument was linguistically validated with the Saudi population. CONCLUSION: The TRAPD model was successfully implemented to adapt the CIDI 3.0 to be used as the main survey instrument for the Saudi National Mental Health Survey, findings of which will provide health policy makers mental health indicators for health decision making and planning.

3.
Int J Ment Health Syst ; 13: 33, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31168318

RESUMO

BACKGROUND: With the growth of information technology, there is a need for the evaluation of cost-effective means of monitoring and support of field workers involved in large epidemiological surveys. AIM: The aim of this research was to measure the performance of a survey help desk that used knowledge management tools to improve its productivity and efficiency. Knowledge management tools are based on information technologies that improve the creation, sharing, and use of different types of knowledge that are critical for effective decision-making. METHODS: The Saudi National Mental Health Survey's help desk developed and used specific knowledge management tools including a computer file system, feedback from experts and a call ticketing system. Results are based on the analyses of call records recorded by help desk agents in the call ticketing system using descriptive analysis, Wilcoxon rank-sum test (p < 0.01) and Goodman and Kruscal test (gamma). The call records were divided into two phases and included details such as types of calls, priority level and resolution time. RESULTS: The average time to resolve a reported problem decreased overall, decreased at each priority level and led to increased first contact resolution. CONCLUSION: This study is the first of its kind to show how the use of knowledge management tools lead to a more efficient and productive help desk within a health survey environment in Saudi Arabia. Further research on help desk performance, particularly within health survey environments and the Middle Eastern region is needed to support this conclusion.

4.
Int J Ment Health Syst ; 11: 60, 2017.
Artigo em Inglês | MEDLINE | ID: mdl-29021823

RESUMO

BACKGROUND: The World Mental Health surveys have been known to apply high standards of quality control, but few studies have been published to document this. Furthermore, the effectiveness of quality control has rarely been reported in the Middle East. CASE PRESENTATION: The focus of this paper was to highlight the implementation of quality control procedures in the Saudi National Mental Health Survey under the World Mental Health Survey Consortium. The paper summarizes the guidelines implemented for the various phases of survey quality control-the quality assurance procedures, the quality control procedures and the quality control appraisal components-as per previously prescribed recommendations in literature. CONCLUSIONS: Survey quality management is a process and not reducible to a single event. Midstream corrections are warranted by detecting problems and intervening appropriately. The Saudi National Mental Health Survey implemented such procedures through continuous quality improvement.

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