Abstract

Improving the detection and treatment of malnourished patients in hospital is needed to promote recovery. To describe the change in rates of detection and triaging of care for malnourished patients in 5 hospitals that were implementing an evidence-based nutrition care algorithm. To demonstrate that following this algorithm leads to increased detection of malnutrition and increased treatment to mitigate this condition. Sites worked towards implementing the Integrated Nutrition Pathway for Acute Care (INPAC), including screening (Canadian Nutrition Screening Tool) and triage (Subjective Global Assessment; SGA) to detect and diagnose malnourished patients. Implementation occurred over a 24-month period, including developmental (Period 1), implementation (Periods 2-5), and sustainability (Period 6) phases. Audits (n=36) of patient health records (n=5030) were conducted to identify nutrition care practices implemented with a variety of strategies and behaviour change techniques. All sites increased nutrition screening from Period 1, with three achieving the goal of 75% of admitted patients being screened by Period 3, and the remainder achieving a rate of 70% by end of implementation. No sites were conducting SGA at Period 1, and sites reached the goal of a 75% completion rate or referral for those identified to be at nutrition risk, by Period 3 or 4. By Period 2, 100% of patients identified as SGA C (severely malnourished) were receiving a comprehensive nutritional assessment. In Period 1, the nutrition diagnosis and documentation by the dietitian of 'malnutrition' was a modest 0.37%, increasing to over 5% of all audited health records. The overall use of any Advanced Nutrition Care practices increased from 31% during Period 1to63% during Period 6. The success of this multi-site study demonstrated that implementation of nutrition screening and diagnosis is feasible and leads to appropriate care. INPAC promotes efficiency in nutrition care while minimizing the risk of missing malnourished patients. Retrospectively registered ClinicalTrials.gov Identifier: NCT02800304, June 7, 2016.

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