Ordered logistic regression models for composite scores for family planning, infection/injury prevention, malaria, HIV transmission, and nutrition controlling for gender, date of training, education, age, and assets.
Ordered logistic regression models for composite scores for overall CHW knowledge and specific sub-domains of pregnancy, postpartum, newborn care, and child health controlling for gender, date of training, education, age, and assets.
We also assessed for patterns of discrepancies by CHW gender, education, and date of training.
Ordered logistic regression models were used to explore associations between MNCH CHW characteristics (gender, age, education, assets, date of training) and composite knowledge scores overall and across domains.
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These were 'specialist'-gynaecological surgeons; surgeon caseload, the date of postgraduate education (MRCOG pass date) and hospital volumes.
At baseline we will collect additional information on demographic variables including age, gender, date of birth, education and occupation.
The following variables were obtained from the regular LASA measurement cycle conducted in 2008 2009: sex, date of birth, education level, body weight and body height.
Sex, race, date of birth, education, and cigarette smoking were ascertained by a structured interview or self-administered questionnaire at each examination.
