当护士生病时,他们是否能够确定他们所接受护理质量的预测因素?

IF 1 Q3 MEDICINE, GENERAL & INTERNAL
Muayyad M. Ahmad, Rana M Elayan, Salam H. Bani Hani, Eman S Qzih, F. Alhalaiqa
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引用次数: 1

摘要

背景:护士是护理质量最有资格的评判者,因为他们有最多的标准护理经验。为了准确评估为满足患者需求而提供的护理服务,从具有住院患者或护理人员经验的护士的角度检查QNC至关重要。目的:从护士作为患者和/或作为住院亲属照顾者的角度探讨QNC的预测因素。方法:本研究旨在采用横断面相关设计,利用从约旦三个卫生保健部门的八家医院招募的231名注册护士作为方便样本。数据收集采用护理行为量表,护士专业能力量表,并使用单项评定量表,要求护士对整体QNC作出反应。结果:层次多元回归分析显示,QNC评分预测结果具有较高的方差(61%)。最强的预测贡献来自护理能力。只有34%的参与者对整体QNC给出了积极的分数,他们的看法是适度积极的。结论:有必要从有住院病人或护理经验的护士的角度来考察QNC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When nurses become ill, are they able to identify the predictors of the quality of care they received?
Background: Nurses are the most qualified judges for quality of nursing care (QNC) because they have the greatest experience with standard care. It is vital to examine QNC from the perspective of nurses who have experience as hospitalized patients or as caregivers in order to perform an accurate assessment of the nursing care that is delivered to meet the needs of patients. Aims: To examine the predictors of QNC from the perspective of nurses as patients and/or as caregivers for hospitalized relatives. Methods: This study aimed a cross-sectional correlational design that utilized a convenience sample of 231 registered nurses recruited from eight hospitals in three health care sectors in Jordan. Data were collected using caring behaviors inventory, nurse professional competence scale, and using a single item rating scale that asked nurses to respond to the overall QNC. Results: The hierarchical multiple regression showed that QNC scores was predicted with a high variance (61%) explained. The strongest predictive contribution was from nursing competencies. Only 34% of the participants gave positive scores for the overall QNC, and their perception was moderately positive. Conclusion: It is necessary to examine QNC from the perspective of nurses who have experience as hospitalized patients or as caregivers.
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来源期刊
Electronic Journal of General Medicine
Electronic Journal of General Medicine MEDICINE, GENERAL & INTERNAL-
CiteScore
3.60
自引率
4.80%
发文量
79
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