Pregnancy and working conditions in the hospital sector: a scoping review.
Soraya Wingester VasconcelosJoana Cristina Cardoso GuedesElizabeth Costa DiasAlexandra Matias Pereira Cunha Coelho MacedoPublished in: Revista brasileira de medicina do trabalho : publicacao oficial da Associacao Nacional de Medicina do Trabalho-ANAMT (2023)
The different areas and work environments in the hospital sector have a complex set of occupational risk factors that can negatively impact the health of pregnant workers. Illness among this workforce results in sick leave due to work-related diseases and pregnancy, with high absenteeism. The main objective of this study was to review the available literature on the gestational and occupational risks to which pregnant health workers are exposed, causes of absenteeism, and issues related to maternity protection and work in the hospital sector. The authors used online databases to identify papers published in English from 2015 to 2020, based on the PRISMA Extension for Scoping Reviews and three steps of Snowballing. The study reviewed 18 peer-reviewed scientific articles that address pregnancy, work, absenteeism, and maternity protection. Most studies used a quantitative approach (12) and cohort studies in particular (6). The distribution of articles by themes was as follows: pregnancy, health and safety at work (11); pregnancy, health conditions, and absenteeism (13); and work and maternity protection (10). Some inferences were possible from the themes raised. However, the results revealed a gap and the need for specific studies for healthcare workers in the hospital sector, focusing on maternity. This review contributes to more in-depth studies on developing programs, actions, and legislation to protect maternity in hospital working environments.
Keyphrases
- healthcare
- public health
- pregnancy outcomes
- preterm birth
- health information
- mental health
- pregnant women
- risk factors
- acute care
- adverse drug
- emergency department
- health promotion
- randomized controlled trial
- high resolution
- weight gain
- systematic review
- artificial intelligence
- mass spectrometry
- weight loss
- deep learning
- risk assessment
- big data
- gestational age