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烧伤病房护士对护理诊断的识别:一项描述性横断面研究。

Nursing diagnosis identification by nurses in burn wards: A descriptive cross-sectional study.

作者信息

Khajehgoodari Mohammad, Lotfi Mojgan, Zamanzadeh Vahid, Valizadeh Leila, Khalilzad Parisa

机构信息

Department of Medical Surgical Nursing Faculty of Nursing and Midwifery Sina Hospital Tabriz University of Medical Sciences Tabriz Iran.

Department of Medical Surgical Nursing Faculty of Nursing and Midwifery Tabriz University of Medical Sciences Tabriz Iran.

出版信息

Nurs Open. 2020 Mar 10;7(4):980-987. doi: 10.1002/nop2.470. eCollection 2020 Jul.

Abstract

AIM

To identify and document patients' care needs, it is vital to provide quality care services. This study was aimed to describe care needs derived from records of patients with burn and to evaluate whether nurses employed the North American Nursing Diagnosis Association classification to formulate patients' care needs.

DESIGN

A descriptive cross-sectional study.

METHODS

In this study using the convenient sampling method, 430 nursing records reviewed in the burn wards. Data were collected using Gordon's checklist. The validity of the checklist assessed by content validity and the reliability of them calculated with inter-rater and internal consistency. Data analysed by SPSSv.24.

RESULTS

The mean number of diagnoses per record was 1.94. The most frequent diagnosis was in the domain of Safety/Protection and the top two prevalent nursing diagnoses in Sina hospital were a risk for infection and risk for falls. From all of the detected diagnostic, about 83% were determinedly not related to one of 247 labels of the North American Nursing Diagnosis Association. Given that nurses provide nursing care as requested by physicians and patient care needs are not assessed and recorded by them, it can be concluded that there was no nursing thinking behind their nursing care.

摘要

目的

为了识别并记录患者的护理需求,提供高质量的护理服务至关重要。本研究旨在描述从烧伤患者记录中得出的护理需求,并评估护士是否采用北美护理诊断协会分类法来制定患者的护理需求。

设计

一项描述性横断面研究。

方法

在本研究中采用便利抽样法,对烧伤病房的430份护理记录进行回顾。使用戈登核对表收集数据。通过内容效度评估核对表的效度,并通过评分者间信度和内部一致性计算其信度。数据采用SPSS v.24进行分析。

结果

每份记录的诊断平均数量为1.94。最常见的诊断属于安全/保护领域,新浪医院最常见的两项护理诊断是感染风险和跌倒风险。在所有检测到的诊断中,约83%确定与北美护理诊断协会的247个标签之一无关。鉴于护士按照医生的要求提供护理,且患者的护理需求未由他们评估和记录,可以得出结论,他们的护理背后没有护理思维。

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