Implementation of Advanced Triage in the Emergency Department of Bellvitge University Hospital

STEP 1:

Study design: a concept analysis will be carried out based on a systematic analysis method by which it details and specifies the element to be studied, in this case, the Advanced Triage (AT). This study is based on the method that was outlined by Wilson (Wilson, 1969) and later evolved by Avant (Walker & Avant, 1989). This technique consists of eleven stages: 1) isolating questions concerning the concept; 2) finding suitable answers; 3-7) developing real or invented cases; 8) determining the social context; 9) identifying the underlying emotions; 10) establishing the practical results; 11) defining the results in language that facilitates the clarification of the controversial concept. The use of this methodology provides the construction of different definitions that reach all variants of the AT concept.

STEP 2:

Study design: Observational, descriptive, cross-sectional, retrospective, retrospective, observational study of interobserver concordance of bidirectional cross-mapping between Architecture Terminology Interface Knowledge (ATIC), Nursing Diagnoses: Definitions & Classification (NANDA), Nursing Interventions Classification (NIC) and the International Classification of Diseases and Related Health Problems (ICD-10). Based on the protocols of the Nurse Demand Management (NDM) for primary health care (PHC) of the Catalan Institute of Health.

Data collection: The data collector will proceed to design a form that allows the collection and connection of the three terminologies in each concept (assessment, diagnosis and intervention). The identification of these equivalences will be carried out by the participation of three nurses independently of each of the researchers. Several interobserver consensus sessions will be held according to the results of the concordance. Discrepancies will be resolved, if appropriate, through the agreement processes. To make the equivalences of the concepts included in the NDM protocols with the different languages (ATIC, NANDA, NIC and ICD-10), with trichotomous variables: Yes /No/ Partially; and nominal quantitative variables, to facilitate the understanding of the mapping, the codes representing the type of equivalence are included.