1. Global Reproductive health Flashcards
global indicators of women’s reproductive health
- onset of menarche
- rates of caesarean births
- infertility
- sexual and gender minority health
- cervical cancer
what and who does womens reproductive health relate
- the medical and biological care of anyone who has (ovaries, uterus, cervix, vagina, breasts);
- at any stage of life after menarche,
- the social, economic and political context in which that person is
situated, and;
what is important to remember when looking at systematic reviews and meta analysis
- know what we are looking at
- know limitations, small samples or unrepresentative samples
- definitions and key terms being consistent
- Social and cultural factors help to determine who we
‘see’ and ‘don’t see’ in research - When you can’t ‘see’ a population, it’s very hard to collect data
– invisibility due to legal penalties,
stigma, lack of knowledge, - Population can be mistrustful of researchers: can
provide ‘socially desirable’ responses rather than
reflecting reality - ‘Research fatigue’
- When there is limited data, it’s really hard to develop evidence-based interventions
- Be culturally and socially aware of the population
you’re studying – know the context – this affects
the quality of the data - Remember to ask why certain data is missing
- Check the quality of local data collection
what did we find on sexual and gender minorities reproductive health
Research was limited in scope, concentrating mostly on HIV and STIs and MSM
- Transwomen at far higher risk of HIV, STIs
- Very limited good-quality studies on WSW
- Positive association between a history of female sexual
partners and risk of bacterial vaginosis
- No evidence of a higher burden of STIs in WSW
compared with the general population of adult women
- No convincing evidence of a higher disease burden of breast cancer in WSW
- However: far higher rates of mental health disorders and suicide attempts; physical and sexual assaults; drug use
- Mental disorders, suicidality, assault, and substance use all pose risks in reproductive health
cervical cancer rates
- 10-fold or greater variation in rates between countries within regions.
- Northern Europe: high rates in Lithuania but low rates in Finland.
- Poor quality data from countries without population based screening, or with poor-quality and inconsistent screening.
- Absence of data from the Middle East in this paper GLOBOCAN data shows cervical cancer incidence, but this paper has no data on HPV incidence.
- ‘Burden of Human Papillomavirus Infections and
Related Diseases in the Extended Middle East and North Africa Region’(2013) - Confirmed poor quality data collection locally
in summary
- Understand the risks of generalising from local to national, and vice versa (sample sizes matter!)
- Be aware of regional and local variations
- Know exactly how a health problem has been defined in any particular study
- Know the context: finding ‘invisible’ populations
- How reliable is the data collection?
- Develop a healthy skepticism overall!