Dimensional Analysis of Shared Decision Making in Contraceptive Counseling

Area of Science:

• Reproductive Health
• Decision Making Science
• Healthcare Communication

Background:

• Shared decision making (SDM) is crucial in reproductive health, particularly for contraceptive counseling.
• Existing definitions may not fully capture the nuances of SDM in this context.
• Understanding conceptual gaps is vital for improving patient-centered care.

Purpose of the Study:

• To conduct a dimensional analysis of shared decision making (SDM) in reproductive health care.
• To identify conceptual gaps surrounding SDM in contraceptive counseling.
• To refine the definition of SDM within the context of contraceptive counseling.

Main Methods:

• Systematic literature search of CINAHL and PubMed databases.
• Inclusion of peer-reviewed and non-research articles on US contraceptive counseling.
• Dimensional analysis of 35 selected articles to extract and synthesize data.

Main Results:

• SDM is a socially constructed concept, varying by perspective and context.
• Identified four primary dimensions of SDM: Patient Preferences, Relationship, Provider Bias, and Clinical Suitability.
• Most studies focused on Patient Preferences, with less attention to relationship, bias, and clinical context.

Conclusions:

• The identified dimensions reveal the complexity of SDM in contraceptive counseling.
• SDM is not a universal concept and requires nuanced understanding across different contexts.
• Proposed conceptual map and model to guide future research and practice, addressing identified gaps.