Objective: To examine associations of data-driven intervention approaches (IAs) with the outcomes of adolescent or adult Latina mothers with or without the Mental health problem.
Design And Sample: Retrospective observational study using public health nurse (PHN)-generated data for 676 Latina mothers aged 14-52.
Measures: Mothers' age, having the Mental health problem, number of problems and interventions, and Knowledge, Behavior, and Status scores using the Omaha System. Mother-specific percentages of interventions to the total number received were calculated. Visualizations and statistical tests were used to analyze the association of IAs relating mothers' characteristics, problems, interventions, and outcomes.
Results: Four IAs were discovered. Sample characteristics differed significantly among IAs by age and having the Mental health problems. There was a small effect of age on outcomes (<0.10). PHNs differentially addressed problems in IA1-IA4 compared with IA2-IA3 (p < 0.001). Mothers who received IA3 had the most improvement and highest scores in Knowledge and Behavior (all p < 0.001). Mothers who received IA2 had the most improvement and highest scores in Status (both p < 0.001).
Conclusions: The IAs were associated with outcomes differentially among Latina mothers, depending on multiple complex factors. These methods may be useful in understanding intervention tailoring and should be replicated with other populations and datasets.
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