Patterns of self-care decision-making and associated factors: A cross-sectional observational study

OBJECTIVE: The aim of this study was to identify for the first time patterns of self-care decision-making (i.e. the extent to which participants viewed contextual factors influencing decisions about symptoms) and associated factors among community-dwelling adults with chronic illness. METHODS: This was a secondary analysis of data collected during the development and psychometric evaluation of the 27-item Self-Care Decisions Inventory that is based on Naturalistic Decision-Making (n = 430, average age = 54.9 ± 16.2 years, 70.2 % female, 87.0 % Caucasian, average number of chronic conditions = 3.6 ± 2.8). Latent class mixture modeling was used to identify patterns among contextual factors that influence self-care decision-making under the domains of external, urgency, uncertainty, cognitive/affective, waiting/cue competition, and concealment. Multivariate multinomial regression was used to identify additional socio-demographic, clinical, and self-care behavior factors that were different across the patterns of self-care decision-making. RESULTS: Three patterns of self-care decision-making were identified in a cohort of 430 adults. A \u27maintainers\u27 pattern (48.1 %) consisted of adults with limited contextual influences on self-care decision-making except for urgency. A \u27highly uncertain\u27 pattern (23.0 %) consisted of adults whose self-care decision-making was largely driven by uncertainty about the cause or meaning of the symptom. A \u27distressed concealers\u27 pattern (28.8 %) consisted of adults whose self-care decision-making was highly influenced by external factors, cognitive/affective factors and concealment. Age, education, financial security and specific symptoms were significantly different across the three patterns in multivariate models. CONCLUSION: Adults living with chronic illness vary in the extent to which contextual factors influence decisions they make about symptoms, and would therefore benefit from different interventions