Posted: May 28, 2023
The global burden of diabetes continues to escalate, with approximately 537 million adults living with diabetes worldwide as of 2021, a number projected to rise to 643 million by 2030. Effective management of diabetes necessitates comprehensive approaches that address not only pharmacological interventions but also lifestyle modifications, with nutrition counseling representing a cornerstone of diabetes self-management education. Nurses, as frontline healthcare providers, frequently deliver nutrition counseling to patients with diabetes, yet the specific mechanisms through which these interventions yield positive outcomes remain inadequately understood. Traditional evaluation methodologies have predominantly focused on quantitative clinical metrics such as hemoglobin A1c levels, weight changes, and lipid profiles, while largely neglecting the qualitative dimensions of the counseling process itself. This research addresses critical gaps in current understanding by developing and validating a novel computational framework that integrates multiple data modalities to evaluate nutrition counseling effectiveness. Our approach moves beyond conventional outcome measures to examine the process elements of counseling interactions and their relationship to behavioral and clinical outcomes. The central research question guiding this investigation is: How can computational methods reveal previously undocumented relationships between specific features of nurse-delivered nutrition counseling and diabetes management outcomes?
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