Pressure Ulcers Risk Assessment According to Nursing Criteria
Metadatos
Afficher la notice complèteAuteur
Vera Salmerón, Eugenio; Mota Romero, Emilio; Romero Béjar, José Luis; Domínguez Nogueira, Carmen; Gómez Pozo, BasilioEditorial
MDPI
Materia
Activity Braden Scale Immobilized patients Logistic regression Mobility Pressure ulcers
Date
2022-07-31Referencia bibliográfica
Vera-Salmerón, E... [et al.]. Pressure Ulcers Risk Assessment According to Nursing Criteria. Healthcare 2022, 10, 1438. [https://doi.org/10.3390/healthcare10081438]
Patrocinador
Consejeria de Salud, Junta de Andalucia (Fundacion Publica Andaluza Progreso y Salud) AP-0086-2016Résumé
Pressure ulcers (PU) represent a health problem with a significant impact on the morbidity
and mortality of immobilized patients, and on the quality of life of affected people and their families.
Risk assessment of pressure ulcers incidence must be carried out in a structured and comprehensive
manner. The Braden Scale is the result of an analysis of risk factors that includes subscales that define
exactly what should be interpreted in each one. The healthcare work with evidence-based practice
with an objective criterion by the nursing professional is an essential addition for the application of
preventive measures. Explanatory models based on the different subscales of Braden Scale purvey
an estimation to level changes in the risk of suffering PU. A binary-response logistic regression
model, supported by a study with an analytical, observational, longitudinal, and prospective design
in the Granada-Metropolitan Primary Healthcare District (DSGM) in Andalusia (Southern Spain),
with a sample of 16,215 immobilized status patients, using a Braden Scale log, is performed. A
model that includes the mobility and activity scales achieves a correct classification rate of 86%
(sensitivity (S) = 87.57%, specificity (SP) = 81.69%, positive predictive value (PPV) = 91.78%, and
negative preventive value (NPV) = 73.78%), while if we add the skin moisture subscale to this model,
the correct classification rate is 96% (S = 90.74%, SP = 88.83%, PPV = 95.00%, and NPV = 80.42%).
The six subscales provide a model with a 99.5% correct classification rate (S = 99.93%, SP = 98.50%,
PPV = 99.36%, and NPV = 99.83%). This analysis provides useful information to help predict this risk
in this group of patients through objective nursing criteria.