Proposal for an algorithm for identification of dermatopathies in the neonatal period

Author:

Fuster-Guillén DorisORCID,Neyra-Léon JesúsORCID,Neyra-Díaz JesúsORCID,Ocaña-Fernández YolviORCID

Abstract

The study of dermatopathies in newborns is understood as skin diseases or affections that are observed and affect newborns and have a diversity in form and severity according to their presentations, which are caused by infectious, environmental and genetic factors, so it is important to know the characteristics for immediate attention and prevention.The aim of the study is to propose an algorithm for the identification of dermatopathies in the neonatal period based on the infrequency or evaluation carried out by pediatricians or dermatologists in hospitals in the Ica region. The method responds to holistic projective research of an applied type that corresponds to the mixed approach of the socio-critical paradigm; The study sample comprised clinical histories and expert doctors. For the first, observation sheets were taken with the validity of the content and, for the experts, interviews and focus groups that allowed the elaboration of the proposals. The results showed the specific theoretical characteristics (observable manifestations) for each dermatopathy. In addition, its use will allow the doctor or specialist to detect the neonatal dermatopathy for better follow-up. It is concluded that the proposal deals with a structure in which it presented clinical characteristics or manifestations of each of the dermatopathies with the purpose of being used by professionals for their location and registration.

Publisher

Salud, Ciencia y Tecnologia

Subject

Nursing (miscellaneous),Health Professions (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3