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An assessment tool to predict the ability of rolling based on the physical characteristics among elderly patients

根据老年患者身体特征预测翻身能力的评估工具

基本信息

批准号：
18592458
负责人：
NOZAKI Manami
金额：
$ 2.41万
依托单位：
Toho University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2006
资助国家：
日本
起止时间：
2006 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18592458/
关键词：
geriatric nursing Prevention bed ridden assessment tool elderly

项目摘要

1. Purpose The purpose of this study was to develop an assessment tool to predict the rolling patterns among the elderly patients, based on a formula that considers their associated physical characteristics.2. Method Subjects : 36 elderly individuals over 65 years old. Procedure : The rolling patterns (criterion variable) were classified in groups, according to their associated physical characteristics (explanatory variable). The predictive formulas were developed according to the variables, and then implemented as a computerized assessment tool. The evaluation of this tool was later conducted by 5 nurses working with elderly patients.3. Results(1)Rolling patterns Each roll was completed by a series of actions which presented a specific pattern to assist motion ; for the patients observed, 3 different rolling patters were detected Shoulders-first type : The shoulders rotate before the pelvis. The trunk rotates from the upper body. Pelvis-first type : The pelvis rotates before the shoulders. The trunk rotates from the lower body. Pelvis-first type : By raising the knees and pushing against the floor, the pelvis and shoulders rotate at the same time. No twisting of the trunk occurs.(2) Formulas The rolling movements were determined by two formulas. The formula's rate of successful prediction of the rolling movement was 70.9%. (p<0.01) z1=1.03* sex+1.11* knee raise-1.05 *a quadriceps femoris muscle MMT+0.01* hip joint adduction ROM+0.19 * pelvis push up- 2.24 z2=-0.73 * sex+0.21 * knee raise+0.74* a quadriceps femoris muscle MMT-0.08* hip joint adduction ROM+0.63*pelvis push up-5.16 The group center of gravity Shoulders-first type z1: 0.53, z2: -0.524, Pelvis-first type z1: -1.828, z2: -0.132, Pelvis-first type z1: 0.288, z2: 0.558 The successful prediction rate was 60% among another group.(3)Assessment tool The formulas were implemented on a computer as the assessment tool. These were modified according trial's evaluation in order to increase their accuracy.

1.目的本研究的目的是开发一种评估工具来预测老年患者的滚动模式，基于一个考虑其相关身体特征的公式.方法研究对象：36名65岁以上的老年人。程序：滚动模式（标准变量）分组，根据其相关的物理特性（解释变量）。预测公式是根据变量开发的，然后作为一个计算机化的评估工具。该工具的评估随后由5名护理老年患者的护士进行。结果（1）侧滚模式：每个侧滚都是通过一系列的动作完成的，这些动作呈现出一种特定的辅助运动模式，观察到3种不同的侧滚模式：肩先型：肩部先于骨盆旋转。躯干从上半身开始旋转。骨盆优先型：骨盆先于肩部旋转。躯干从下半身开始旋转。骨盆优先型：通过抬高膝盖并推压地板，骨盆和肩膀同时旋转。树干没有扭曲。(2)公式滚动运动由两个公式确定。该公式对滚动运动的预报成功率为70.9%。（p<0.01）z1=1.03* 性别+1.11 * 膝盖抬高-1.05 * 股四头肌MMT+0.01* 髋关节内收ROM+0.19 * 骨盆俯卧撑-2.24 z2=-0.73 * 性别+0.21 * 膝盖抬高+0.74 * 股四头肌MMT-0.08* 髋关节内收ROM+0.63* 骨盆俯卧撑-5.16肩第一型组重心z1：0.53，z2：-0.524;骨盆第一型组重心z1：-1.828，z2：-0.132;骨盆第一型组重心z1：0.288，z2：0.558。（3）评估工具在计算机上实现公式作为评估工具。根据试验的评价对这些进行了修改，以提高其准确性。