Validation of the Health Index in the Postoperative Period: Use of the Nursing Outcome Classification to Determine the Health Level

Author:

Herrero Jaén Sara12ORCID,González Aguña Alexandra23ORCID,Fernández Batalla Marta2,Gonzalo de Diego Blanca24ORCID,Sierra Ortega Andrea24,Rocha Martínez María del Mar5,Barchino Plata Roberto26ORCID,Jiménez Rodríguez María Lourdes26ORCID,Santamaría García José María24

Affiliation:

1. Mejorada del Campo Health Centre, Community of Madrid Health Service (SERMAS), 28840 Madrid, Spain

2. Research Group MISKC, Department of Computer Science, University of Alcala, Polytechnic Building, University Campus, Barcelona Road Km. 33.6, 28805 Alcalá de Henares, Spain

3. Santa Cristina University Hospital, Community of Madrid Health Service (SERMAS), 28009 Madrid, Spain

4. Meco Health Centre, Community of Madrid Health Service (SERMAS), 28880 Madrid, Spain

5. Illustrious Official College of Nursing of Madrid, Av. de Menéndez Pelayo, 93, Retiro, 28007 Madrid, Spain

6. Computer Science Department, University of Alcala, 28805 Madrid, Spain

Abstract

Background: The postoperative period is the recovery time after surgery and is defined as an individual process whose purpose is to return the person to the state of normality and integrity that they had prior to surgery. Aim: Demonstrate the modification of the level of health of people in the early postoperative period through the development and validation of the Health Index Instrument, which is built from the Nursing Outcomes Classification (NOC) standardized language. Design: The design used a mixed method, which involved a first phase of instrument development and a second phase of instrument validation. Methods: The methods was based on focus group techniques with text analysis techniques, internal validation with a group of care language experts, external validation with a group of clinical nursing experts and a clinical validation with quantitative and qualitative analysis. A panel of experts in Language of Care evaluated the (NOC) labels and their correlation with the 11 Health Variables to construct the instrument. The instrument developed was subjected to external validation with a panel of clinical nurse experts in post-anesthesia care. The clinical validation included a cross-sectional descriptive study in a postoperative unit. The final sample of the cross-sectional descriptive study was 139 cases. Results: Of the 89 NOCs proposed in the preliminary construction phase of the instrument, 36 passed through the first round. Of those 36 NOCs, 25 passed through to the second round with a review performance and 11 directly as approved. The total number of approved NOCs were 4. The results of the research show that there are changes in the global score of the health level and in each health variable. It is observed that there was a significant increase in the scores of the health variables at admission and discharge (p < 0.001). Conclusions: The results of the data analysis show that six groups present a similar pattern of evolution of the health variables. A correlation was found between the time of stay in the unit with the scores obtained in the health variables, the physical functioning, comfort status and the presence of symptoms being particularly significant.

Publisher

MDPI AG

Reference66 articles.

1. World Health Organization (2024, January 08). World Alliance for Patient Safety. Available online: https://iris.who.int/bitstream/handle/10665/70080/WHO_IER_PSP_2008.07_eng.pdf?sequence=1.

2. Aristil, P.M. (2015). Manual de Farmacología Básica y Clínica, McGraw-Hill Interamericana. [6th ed.].

3. Perioperative intensive care medicine;Med. Intensiv.,2019

4. Pérez de la Plaza, E. (2013). Terapéutica Quirúrgica Cuidados Preoperatorios, Editorial McGraw-Hill Interamericana de España.

5. Evidence-based clinical practice manual: Patient preparation for surgery and transfer to the operating room;Escobar;Rev. Colomb. Anestesiol.,2015

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