Algorithm for diagnosis of postoperative urinary retention through bedside bladder ultrasound: a methodological study.

Objective: To develop and validate a clinical algorithm for the nursing diagnosis of urinary retention using bedside bladder ultrasound in adult patients in the immediate postoperative period of hip or knee arthroplasty. Methods: Methodological study to develop a practical implementation product tha...

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Detalles Bibliográficos
Publicado en:Acta Paulista de Enfermagem Vol. 38; no. 1; pp. 1 - 12
Autores principales: Farias, Carlos Alexandre dos Santos, Souza, Priscilla Alfradique de, Ramalho Neto, José Melquíades, Bitencourt, Graziele Ribeiro
Formato: research tables/charts Journal Article
Publicado: Universidade Federal de Sao Paulo, Escola Paulista de Enfermagem 2025
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:Objective: To develop and validate a clinical algorithm for the nursing diagnosis of urinary retention using bedside bladder ultrasound in adult patients in the immediate postoperative period of hip or knee arthroplasty. Methods: Methodological study to develop a practical implementation product that was developed in two stages: (1) elaboration and formatting of the algorithm and (2) validation of the content of the algorithm; this was elaborated by 127 experts from all over Brazil in the period from May to August 2022, using the Content Validation Index (CVI) and considering values ≥0.80 as acceptable. Results: The algorithm was submitted to expert evaluation, being validated with an overall CVI of 0.842 in both groups of experts, with (CVI=0.848) or without (CVI=0.822) experience in bladder ultrasound, presenting satisfactory agreement rates. Conclusion: The algorithm was validated with high agreement by a relevant number of experts. It can be implemented in postoperative lower limb arthroplasty treatment units. Its use makes it possible to identify the nursing diagnosis of urinary retention and supports decision-making on the safe performance of bladder catheterization based on the estimated urinary volume using bedside bladder ultrasonography.