Latent profile analysis and influencing factors of engagement in medication safety among older adults with cardiometabolic multimorbidity: a cross-sectional study.

Latent profile analysis identified three distinct profiles of engagement in medication safety among older adults with cardiometabolic multimorbidity.

• The three profiles were labeled 'passive participation,' 'moderate participation,' and 'active participation.'
• 'Passive participation' comprised 22.47% of the sample.
• 'Moderate participation' was the largest group at 52.53% of the sample.
• 'Active participation' comprised 25.0% of the sample.
• The study sample consisted of 316 older adult inpatients with cardiometabolic multimorbidity at a class III hospital in Jiangsu, China.

Occupational status was a significant independent factor distinguishing among medication safety engagement profiles.

• Identified through multivariate logistic regression analysis.
• Statistical significance was reported at p<0.05.
• Occupational status was one of five significant independent factors identified.

Marital status was a significant independent factor distinguishing among medication safety engagement profiles.

• Identified through multivariate logistic regression analysis.
• Statistical significance was reported at p<0.05.
• Marital status was one of five significant independent factors identified.

Medical payment method was a significant independent factor distinguishing among medication safety engagement profiles.

• Identified through multivariate logistic regression analysis.
• Statistical significance was reported at p<0.05.
• Medical payment method was one of five significant independent factors identified.

Daily medication type was a significant independent factor distinguishing among medication safety engagement profiles.

• Identified through multivariate logistic regression analysis.
• Statistical significance was reported at p<0.05.
• Daily medication type was one of five significant independent factors identified.

Treatment burden was a significant independent factor distinguishing among medication safety engagement profiles.

• Identified through multivariate logistic regression analysis.
• Treatment burden was measured using the Multimorbidity Treatment Burden Questionnaire.
• Statistical significance was reported at p<0.05.
• Treatment burden was one of five significant independent factors identified.

The study confirmed significant heterogeneity in medication safety engagement among older adults with cardiometabolic multimorbidity.

• A cross-sectional design was used, conducted at a class III hospital in Jiangsu, China.
• Participants completed the Inpatients' Involvement in Medication Safety Scale.
• The sample included 316 older adult inpatients with cardiometabolic multimorbidity.
• Both latent profile analysis and multivariate regression analyses were employed to identify subgroups and associated factors.