Patient experience and nurse staffing level in South Korea.

IF 2.7 4区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
Yeongchae Song, Young Kyung Do
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Abstract

Patient experience has recently become a key driver for hospital quality improvement in South Korea, marked by the introduction of the Patient Experience Assessment (PXA) within its National Health Insurance in 2017. While the PXA has garnered special attention from the media and hospitals, there has been a lack of focus on its structural determinants, hindering continuous and sustained improvement in patient experience. Given the relatively low number of practicing nurses per 1000 population in South Korea and the significant variation in nurse staffing levels across hospitals, the staffing level of nurses in hospitals could be a crucial structural determinant of patient experience. This study examines the association between patient experience and hospital nurse staffing levels in South Korea. We used individual- and hospital-level data from the 2019 PXA, encompassing 7250 patients from 42 tertiary hospitals and 16 235 patients from 109 non-tertiary general hospitals with 300 or more beds. The dependent variables were derived from the complete set of 21 proper questions on patient experience in the Nurse and other domains. The main explanatory variable was the hospital-level Nurse Staffing Grade (NSG), employed by the National Health Insurance to adjust reimbursement to hospitals. Multilevel ordered/binomial logistic or linear regression was conducted accounting for other hospital- and patient-level characteristics as well as acknowledging the nested nature of the data. A clear, positive association was observed between patient experience in the Nurse domain and NSG, even after accounting for other characteristics. For example, the predicted probability of reporting the top-box category of "Always" to the question "How often did nurses treat you with courtesy and respect?" was 70.3% among patients from non-tertiary general hospitals with the highest NSG, compared to 63.1% among patients from their peer hospitals with the lowest NSG. Patient experience measured in other domains that were likely to be affected by nurse staffing levels also showed similar associations, although generally weaker and less consistent than in the Nurse domain. Better patient experience was associated with higher hospital nurse staffing levels in South Korea. Alongside current initiatives focused on measuring and publicly reporting patient experience, strengthening nursing and other hospital workforce should also be included in policy efforts to improve patient experience.

韩国的患者体验与护士配置水平。
背景:2017 年,韩国在国民健康保险(NHI)中引入了 "患者体验评估"(PXA),这标志着患者体验最近已成为韩国医院质量改进的关键驱动力。虽然 PXA 得到了媒体和医院的特别关注,但对其结构性决定因素却缺乏重视,从而阻碍了患者体验的持续改善。鉴于韩国每千人中执业护士的数量相对较低,且各医院的护士人员配备水平差异显著,医院的护士人员配备水平可能是患者体验的一个关键结构性决定因素。本研究探讨了韩国患者就医体验与医院护士配置水平之间的关系:我们使用了来自 2019 年 PXA 的个人和医院层面的数据,其中包括来自 42 家三级医院的 7250 名患者和来自 109 家拥有 300 张或以上床位的非三级综合医院的 16235 名患者。因变量来自全套 21 个有关护士和其他领域患者体验的适当问题。主要解释变量是医院层面的护士配置等级(NSG),国家医疗保险采用该等级来调整医院的报销额度。考虑到其他医院和患者层面的特征以及数据的嵌套性质,进行了多层次有序/二项式逻辑或线性回归:结果:即使考虑了其他特征,护士领域的患者体验与 NSG 之间仍存在明显的正相关。例如,在 NSG 最高的非三级综合医院的患者中,对 "护士多长时间以礼貌和尊重的态度对待您一次?"这一问题回答顶部方框类别 "总是 "的预测概率为 70.3%,而在 NSG 最低的同级医院的患者中,这一概率为 63.1%。在其他可能受护士人员配备水平影响的领域测量的患者体验也显示出类似的关联性,但一般比护士领域的关联性要弱,也不那么一致:在韩国,较好的患者体验与较高的医院护士配置水平有关。除了目前以衡量和公开报告患者体验为重点的举措外,加强护理和其他医院劳动力也应纳入改善患者体验的政策努力中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.90
自引率
3.80%
发文量
87
审稿时长
6-12 weeks
期刊介绍: The International Journal for Quality in Health Care makes activities and research related to quality and safety in health care available to a worldwide readership. The Journal publishes papers in all disciplines related to the quality and safety of health care, including health services research, health care evaluation, technology assessment, health economics, utilization review, cost containment, and nursing care research, as well as clinical research related to quality of care. This peer-reviewed journal is truly interdisciplinary and includes contributions from representatives of all health professions such as doctors, nurses, quality assurance professionals, managers, politicians, social workers, and therapists, as well as researchers from health-related backgrounds.
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