RESUMO
Background: One previous study examined implementation of evidence-based nutrition practice guidelines (EBNPG). Objectives: To describe alignment of registered dietitian nutritionists' (RDNs) documented nutrition care with the Academy of Nutrition and Dietetics' EBNPG for Type 1 and Type 2 diabetes and examine impact of a midpoint training on care alignment with the guideline. Methods: In this 2-year, quasi-experimental study, 19 RDNs providing outpatient medical nutrition therapy to adults with diabetes (n = 562) documented 787 initial and follow-up encounters. At study midpoint, RDNs received a guideline content training. A validated, automated tool was used to match standardized nutrition care process terminology (NCPT) in the documentation to NCPT expected to represent guideline implementation. A congruence score ranging from 0 (recommendation not identified) to 4 (recommendation fully implemented) was generated based on matching. Multilevel linear regression was used to examine pre-to-post training changes in congruence scores. Results: Most patients (~75%) had only one documented RDN encounter. At least one guideline recommendation was fully implemented in 67% of encounters. The recommendations "individualize macronutrient composition" and "education on glucose monitoring" (partially or fully implemented in 85 and 79% of encounters, respectively) were most frequently implemented. The mean encounter congruence scores were not different from pre-to-post guideline training (n = 19 RDNs, 519 encounters pre-training; n = 14 RDNs, 204 encounters post-training; ß = -0.06, SE = 0.04; 95% CI: -0.14, 0.03). Conclusions: Most RDN encounters had documented evidence that at least one recommendation from the EBNPG was implemented. The most frequently implemented recommendations were related to improving glycemic control. A midpoint guideline training had no impact on alignment of care with the guideline.
RESUMO
More evidence regarding registered dietitian nutritionist implementation of evidence-based nutrition practice guidelines (EBNPGs) is needed. We assessed the utility of an automated informatics tool to evaluate congruence of documented nutrition care with 13 individual recommendations in the diabetes mellitus (DM) EBNPG and with the guideline overall. A concurrent validation study was conducted using Nutrition Care Process Terminology documentation entered in the Academy of Nutrition and Dietetics Health Informatics Infrastructure by registered dietitian nutritionists caring for patients with DM. A 15% subset (n = 115) of the 790 patient encounters recorded were selected randomly, and the documented care was evaluated using the automated DM Expected Care Plan (ECP) Analyzer and expert audit. Recommendation-level congruence, as determined by each method, was compared using Cohen's κ analysis, and the accuracy, sensitivity, and specificity of the DM ECP Analyzer for assessing overall guideline-level congruence was calculated with expert audits as the "gold standard." For recommendation-level congruence, the DM ECP Analyzer identified more instances of recommendation implementation in the patient encounters, and classified more encounters as including partial or full recommendation implementation for 10 of the 13 recommendations, compared with the expert audit. There was slight to fair agreement between the DM ECP and the expert audit for most individual recommendations, with a mean ± standard deviation level of agreement of κ = .17 ± .19 across all eligible recommendations. At the guideline level, the DM Analyzer had high accuracy (98.3%) and sensitivity (99.1%) and low specificity (0%; no true negatives detected). The DM ECP Analyzer is acceptable for conducting automated audits of nutrition documentation to assess congruence of documented care with recommendations for evidence-based care. Future changes to the EBNPG, Nutrition Care Process Terminology, Academy of Nutrition and Dietetics Health Informatics Infrastructure, and the DM ECP Analyzer could potentially improve recommendation-level performance. The DM ECP Analyzer can be modified for other EBNPGs to facilitate automated assessment of guideline implementation.
