Your work plan has specifically called out sex differences in death registration completion rates.
When collecting cause of death data in the hospital via ICD-10 or 11, medical personnel are required to state the deceased biological sex on the record.
Your country has produced a public health bulletin or a regional report on women’s health issues during their reproductive years.
CRVS systems strengthening efforts in your work plan have a specific goal to increase rates of death registrations of women and non-binary people (if legal).
Cause of death data is reported in aggregate in your country, such that mortality rates are assumed to apply equally to people of all genders.
A country that mandates fathers to be present during birth registration will be less likely to register births because of gender-related issues, such as pregnancies related to sexual assault and other gender-related violence, widowhood, etc.
A regional effort to develop a steering committee consisting of representatives from diverse CSOs to engage in and guide CRVS strengthening efforts.
A technical working group in your country for CRVS systems strengthening consists of men and women and people who are gender diverse (where legal), and there are both men and women and people who are gender diverse (where legal) in leadership positions within the participating teams.
When conducting a study to address cancer health disparities, a survey team in your country provides childcare for mothers during data collection to address childcare barriers that may have hindered their ability to participate.
When implementing a STEPwise approach to NCD risk factor surveillance (STEPS) survey, data family and household dynamics are added as brief additional questions.
A team working on improving the quality of vital statistics collected enlists the expertise of members of a Gender Equality Council or the Ministry of Women and Girls’ Health to participate.
Statisticians or demographers in your country conduct an annual gender data analysis of death registration data disaggregated by sex and age to explore gender inequities related to cause of death.
Cancer morbidity and mortality data are presented disaggregated into two groups – male and female - without cross-referencing the data by geographic location, age, ethnicity, socio-economic status, etc.
A team developed a brochure (informational material) on smoking cessation knowledge and awareness to be used in outreach campaigns that only show photos of men using tobacco and women engaged in household chores.
In a population report on life course events, information on vital statistics was presented without referencing maternal mortality.