Literature DB >> 34184943

Psychosocial outcomes of COVID-19 pandemic on healthcare workers in maternity services.

Recep Erin1, Yeşim Bayoğlu Tekin1.   

Abstract

AIM: We investigated the effects of the COVID-19 outbreak on social support and anxiety levels in healthcare professionals working in maternity services situated in Trabzon, Turkey.
MATERIALS AND METHODS: Our study was designed retrospectively and observationally. Social support to the participants was measured using a scale called the multidimensional scale of perceived social support (MSPSS). State anxiety scale (STAI TX-1) and trait anxiety scale (STAI TX-2) were used to determine the level of anxiety. All scales were measured before and during the pandemic. Independent t-test and one-way ANOVA were used to analyze the data where p < 0.05 was considered significant.
RESULTS: The participants' demographic data (n = 96) included the mean age of doctors (n = 30), midwives (n = 34), and nurses (n = 32) which were 41.38 ± 4.16/38.58 ± 1.79/37.34 ± 2.19, respectively. Mean gravida was 1.69 ± 2.87/2.23 ± 0.12/2.31 ± 0.14, respectively. Mean BMI was 24.69 ± 2.87/26.04 ± 0.8/25.69 ± 1.98 in the same order (p > 0.05). The total mean values of the MSPSS, STAI TX-1, STAI TX-2 scales before and during the pandemic were found as 66.55 ± 6.63 - 55.25 ± 4.76, 36.71 ± 10.04 - 50.08 ± 11.65, 37.33 ± 8.09 - 53.32 ± 9.94, respectively. A significant difference was found for the mean of all scales amongst the groups (p < 0.05).
CONCLUSION: During the COVID-19 pandemic, a significant number of healthcare workers were deprived of social support and their anxiety levels increased.

Entities:  

Keywords:  Anxiety; COVID-19 pandemic; healthcare worker; psychosocial outcomes; social support

Mesh:

Year:  2021        PMID: 34184943     DOI: 10.1080/0167482X.2021.1940944

Source DB:  PubMed          Journal:  J Psychosom Obstet Gynaecol        ISSN: 0167-482X            Impact factor:   3.228


  2 in total

1.  COVID-19 anxiety and quality of life among Iranian nurses.

Authors:  Zohreh Mohamadzadeh Tabrizi; Fatemeh Mohammadzadeh; Arezoo Davarinia Motlagh Quchan; Narjes Bahri
Journal:  BMC Nurs       Date:  2022-01-20

2.  Can machine learning models predict maternal and newborn healthcare providers' perception of safety during the COVID-19 pandemic? A cross-sectional study of a global online survey.

Authors:  Bassel Hammoud; Aline Semaan; Imad Elhajj; Lenka Benova
Journal:  Hum Resour Health       Date:  2022-08-19
  2 in total

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