As shown in Table 3, bivariate analysis indicates that women place of residence, age at interview, educational status, wealth status, marital status, religion, occupation women autonomy, ANC visits, and number of pregnancies were significantly associated with institutional delivery.
During the home interview, smoking status (classified as ever or never) and medication use were assessed.
We tracked household recruitment, interview completion status and the air monitoring data on a weekly basis.
During the home interview, smoking status and use of alcohol were assessed.
If individuals scored <4 on the AMT4, the Telephone Interview Cognitive Status (TICS) was administered.
The distribution of age at diagnosis, sex, body mass index (BMI) at interview, smoking status (ever/never), taking vigorous physical activity and continuous non-steroidal anti-inflammatory drug (NSAID) use were compared between cases and controls.
Our findings indicated that there is significant association between drugs prescribed during pregnancy and gravidity, maternal illness on the date of interview, pregnancy status and educational level of the provider.
The proposed methodology raises questions about the specific function of interviews, the status of the data which they generate and the knowledge claims which they can substantiate.
There is some uncertainty in the diagnoses of non-consenters as these may be based on initial interviews where status of substance use is unknown or clinical diagnoses are based on discharge letters.
