Measuring Unmet Need for Contraception Using a Person-Centered Algorithm: An Application With a Community-Based...

Area of Science:

• Reproductive Health
• Demography
• Global Health

Background:

• The standard measure of unmet need for contraception lacks a person-centered approach, potentially misrepresenting women's actual contraceptive requirements.
• Existing measures may not fully capture nuances like method dissatisfaction among users or desire for contraception among nonusers.

Purpose of the Study:

• To develop and validate a person-centered algorithm for assessing contraceptive need.
• To compare the standard unmet need measure with the new person-centered measure in a Rohingya population.
• To provide a more accurate representation of contraceptive needs and satisfaction within this specific demographic.

Main Methods:

• Replication of the standard unmet need algorithm.
• Development of a person-centered algorithm considering users' desire for different methods and nonusers' desire for any method.
• Application of both algorithms to a sample of 847 married Rohingya women aged 15-49 in Cox's Bazar, Bangladesh.

Main Results:

• The standard algorithm indicated 39% unmet need, 18% no need, and 44% met need.
• The person-centered measure identified 24% unmet need, 38% no need, and 38% met need.
• Significant method dissatisfaction was found among users (14%), and a considerable proportion of nonusers desired contraception (36%).

Conclusions:

• The person-centered measure offers a more accurate assessment of contraceptive needs, potentially reducing overestimation of unmet need found with the standard method.
• This approach highlights method dissatisfaction among users, a crucial factor missed by traditional measures.
• The findings underscore the importance of person-centered approaches in reproductive health research and programming.