Predicting contraceptive use in Bangladesh: a logistic regression analysis

Area of Science:

• Reproductive Health
• Behavioral Science
• Demography

Background:

• Traditional family planning surveys assess knowledge, attitudes, and practices (KAP) related to contraception.
• Existing KAP survey questions show limited predictive power for individual contraceptive behavior over time.
• Contraceptive motivation is complex and likely multidimensional, not captured by single indicators.

Purpose of the Study:

• To evaluate the predictive accuracy of combined survey responses for family planning behavior.
• To determine if a multidimensional approach to assessing contraceptive motivation improves behavioral prediction.
• To enhance the estimation of future family planning practice within a population.

Main Methods:

• Longitudinal analysis of 3 years of survey data from individual respondents.
• Statistical modeling to assess the predictive power of multiple survey indicators compared to single indicators.
• Examination of the relationship between combined reproductive attitudes, intentions, and subsequent contraceptive use.

Main Results:

• A composite measure derived from a set of survey responses significantly outperformed any single indicator in predicting contraceptive behavior.
• The multidimensionality of contraceptive motivation is crucial for accurate behavioral prediction.
• The study demonstrates a substantial improvement in predicting family planning practice using combined indicators.

Conclusions:

• Integrating multiple indicators of reproductive attitudes and intentions enhances the prediction of family planning behavior.
• Statistical methods accounting for the multidimensionality of motivation are vital for improving family planning program effectiveness.
• Future family planning research should adopt a more comprehensive approach to assessing behavioral determinants.