Development of the Essential Individual Care Needs Assessment Tool for Public Health Nurses.

IF 1.7 4区医学 Q2 NURSING

Public Health Nursing Pub Date : 2025-05-01 Epub Date: 2025-03-13 DOI:10.1111/phn.13545

Kyoko Yoshioka-Maeda, Hiroshige Matsumoto, Chikako Honda, Kazuya Taira, Noriko Hosoya, Miki Sato, Riho Iwasaki-Motegi, Yuka Sumikawa, Hitoshi Fujii, Takahiro Miura, Misa Shiomi

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引用次数: 0

Abstract

Objective: This study aimed to develop essential individual care needs assessment (EICNA) items and evaluate the validity of that judgment.

Design: We used a sequential two-phase design for this study.

Methods: Item selection was conducted using φ coefficients between these items' values and the care need levels and discussions with supervisory PHNs. Phase 1 was a cross-sectional, nationwide survey of 275 mid-level public health nurses (PHNs) from 196 municipalities in Japan (December 2022 to January 2023), including 46 potential EICNA items. In Phase 2, PHNs piloted the EICNA items in clinical settings, entering data into a web-based system that used an algorithm to determine care need levels based on the weighted sum of 21 items (August 2023 to January 2024). Thereafter, the PHNs evaluated the appropriateness of the algorithm's judgments.

Results: Twenty-one essential items were identified. Among 1867 cases, care need levels were categorized as low (n = 1008, 54.0%), moderate (n = 652, 34.9%), and high (n = 207, 11.1%), with 94.9% of PHNs considered the algorithm's classifications appropriate.

Conclusion: Twenty-one EICNA items were identified to assess the care needs, and the level of care needs determined by the weighted sum of these items was deemed appropriate by PHNs.

Trial registration: UMIN000051509 (https://www.umin.ac.jp/ctr/; August 1, 2023).

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公共卫生护士基本个人护理需求评估工具的开发。

目的：本研究旨在编制基本个人护理需求评估量表（EICNA）并评估其效度。设计：本研究采用连续两阶段设计。方法：采用项目值与护理需求水平之间的φ系数进行项目选择，并与主管phn进行讨论。第一阶段是对日本196个城市的275名中级公共卫生护士（phn）进行横断面全国调查（2022年12月至2023年1月），包括46个潜在的EICNA项目。在第二阶段，phn在临床环境中试用EICNA项目，将数据输入基于网络的系统，该系统使用基于21个项目加权和的算法来确定护理需求水平（2023年8月至2024年1月）。然后，phn评估算法判断的适当性。结果：鉴定出21个基本项目。在1867例病例中，护理需求水平被分为低（n = 1008, 54.0%）、中（n = 652, 34.9%）和高（n = 207, 11.1%）， 94.9%的phn认为该算法的分类是合适的。结论：EICNA共鉴定出21个项目用于评价护理需求，由这些项目的加权和确定的护理需求水平被phn认为是合适的。试验注册：UMIN000051509 (https://www.umin.ac.jp/ctr/；2023年8月1日)。

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

Public Health Nursing 医学-公共卫生、环境卫生与职业卫生

CiteScore

3.50

自引率

4.80%

发文量

117

审稿时长

6-12 weeks

期刊介绍： Public Health Nursing publishes empirical research reports, program evaluations, and case reports focused on populations at risk across the lifespan. The journal also prints articles related to developments in practice, education of public health nurses, theory development, methodological innovations, legal, ethical, and public policy issues in public health, and the history of public health nursing throughout the world. While the primary readership of the Journal is North American, the journal is expanding its mission to address global public health concerns of interest to nurses.