ArticleJournal of clinical medicine2021
Unpacking the Mental Health of Nurses during COVID-19: Evidence from Pakistan.
Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 15 citations in OpenAlex.
- Assessment of mental health of medical personnel during COVID-19: insights from Pakistan.Heliyon · 2022Article
- The Impact of Job Stress, Role Ambiguity and Work-Life Imbalance on Turnover Intention during COVID-19: A Case Study of Frontline Health Workers in Saudi Arabia.International journal of environmental research and public health · 2022Article
- How Did the COVID-19 Pandemic Affect the Use of Emergency Medical Services by Patients Experiencing Mental Health Crises?Healthcare (Basel, Switzerland) · 2022Article
- Impact of SARS-CoV-2 Pandemic on Psychosocial Burden and Job Satisfaction of Long-Term Care Nurses in Poland.International journal of environmental research and public health · 2022Article
- Prioritizing and Overcoming Barriers to e-Health Use among Elderly People: Implementation of the Analytical Hierarchical Process (AHP).Journal of healthcare engineering · 2022Article
- Modeling COVID-19 Impact on Consumption and Mobility in Europe: A Legacy Toward Sustainable Business Performance.Frontiers in psychology · 2022Article
- Covid-19 pandemic and Brazilian Nursing: unveiling meanings of work.Revista da Escola de Enfermagem da U S P · 2022Article
- Effect of Coronavirus-19 on Mental Condition of International Students in China.Frontiers in psychiatry · 2021Article
- The Impact of Job Stress and State Anger on Turnover Intention Among Nurses During COVID-19: The Mediating Role of Emotional Exhaustion.Frontiers in psychology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prime objective of the present study is to test the effect of COVID-19 fear on the mental condition of nurses in the public health sector of Pakistan. This study seeks to measure the psychological distress, anxiety, and psychological well-being of nurses due to fear of COVID-19 and exposure to COVID-19. This research further reveals the moderating role of "social support" in the link between COVID-19 fear, exposure and mental health. Through a convenient sampling technique, 250 sample contributors were chosen from 12 public hospitals. The results were obtained by applying multiple regression and moderation analysis by SPSS and the Hayes process. The outcomes indicated that fear of exposure to COVID-19 affects the mental health of nurses. The findings also discovered that social support is not very constructive in the pandemic. However, we suggested that social support is the best weapon to encourage nurses to relieve their fear and minimize negative emotions.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.