The Impact of Women's Agency on Accessing and Using Maternal Healthcare Services: A Systematic Review and Meta-Analysis.
Maryam VizhehFrances RapportJeffrey BraithwaiteYvonne A ZurynskiPublished in: International journal of environmental research and public health (2023)
Agency, defined as the ability to identify one's goals and act upon them, has been recognized as a prominent strategy to access maternal healthcare services (MHS). The purpose of this study was to synthesize evidence of the association between women's agency and MHS utilization. A systematic review was performed on five academic databases, comprising Scopus, PubMed, Web of Science, Embase, and ProQuest. Meta-analysis was performed with a random-effects method using the STATA™ Version 17 software. A total of 82 studies were selected following the PRISMA guidelines. The meta-analysis demonstrated that an increase in women's agency was associated with a 34% increase in the odds of receiving skilled antenatal care (ANC) (OR = 1.34, 95% CI = 1.18-1.52); 7% increase in the odds of initiating the first ANC visit during the first trimester of pregnancy (OR = 1.07, 95% CI = 1.01-1.12); 20% increase in the odds of receiving at least one ANC visit (OR = 1.20, 95% CI = 1.04-1.4); 16% increase in the odds of receiving more than four ANC visits during pregnancy (OR = 1.16, 95% CI = 1.12-1.21); 17% increase in the odds of receiving more than eight ANC visits (OR = 1.17, 95% CI = 1.04-1.32); 13% increase in the odds of facility-based delivery (OR = 1.13, 95% CI = 1.09-1.17); 16% increase in the odds of using skilled birth attendants (OR = 1.16, 95% CI = 1.13-1.19); and 13% increase in the odds of receiving postnatal care (OR = 1.13, 95% CI = 1.08-1.19) compared to low level of agency. Any efforts to improve MHS utilization and reduce maternal morbidity and mortality should include the promotion of women's agency.
Keyphrases
- healthcare
- pregnancy outcomes
- systematic review
- polycystic ovary syndrome
- pregnant women
- primary care
- randomized controlled trial
- palliative care
- meta analyses
- public health
- birth weight
- quality improvement
- mental health
- metabolic syndrome
- physical activity
- preterm infants
- affordable care act
- pain management
- big data
- deep learning
- skeletal muscle
- acute care
- breast cancer risk
- case control
- clinical practice