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晚年的照护轨迹与未满足的照护需求

Caregiving Trajectories and Unmet Care Needs in Later Life.

作者信息

Freedman Vicki A, Cornman Jennifer C, Wolff Jennifer L

机构信息

Institute for Social Research, University of Michigan, Ann Arbor, Michigan, USA.

Jennifer C. Cornman Consulting, Columbus, Ohio, USA.

出版信息

Gerontologist. 2025 Mar 25;65(4). doi: 10.1093/geront/gnae136.

Abstract

BACKGROUND AND OBJECTIVES

The evolution of care networks accompanying older adults' changing care needs-and implications for unmet care needs-are not well described.

RESEARCH DESIGN AND METHODS

Using group-based trajectory models, we identify 4 incident care need patterns ("care need trajectory groups") for 1,038 older adults in the 2012-2018 National Health and Aging Trends Study and 5 caregiving patterns ("caregiving trajectory groups") and a transient group among their 4,106 caregivers. We model associations between care need/caregiving trajectory groups and the rate of (approximating the proportion of rounds with) unmet care needs. We illustrate how predicted rates vary by care need trajectory groups and by network composition for networks with 2 caregivers.

RESULTS

The percentage of rounds with unmet care needs varies from 13% among older adults with few, stable needs to 62% among those with many, stable needs (p < .01). In models, care need trajectory group is strongly associated with the rate of unmet care needs; among those with steep increasing care needs, network composition is also predictive. For older adults with steep increasing care needs, when 1 caregiver provides high, variable, and another medium, stable care hours, the predicted rate of unmet care needs is low (0.16) and similar to those with few, stable care needs (0.12).

DISCUSSION AND IMPLICATIONS

The findings highlight the complexity and heterogeneity of older adults' care needs and caregiving patterns over time. For those with rapidly increasing needs, identifying and assessing the evolving care network may be a fruitful direction for forestalling unmet care needs.

摘要

背景与目标

随着老年人护理需求的变化,护理网络的演变以及未满足护理需求的影响尚未得到充分描述。

研究设计与方法

利用基于群体的轨迹模型,我们在2012 - 2018年国家健康与老龄化趋势研究中,为1038名老年人确定了4种突发护理需求模式(“护理需求轨迹组”)和5种护理模式(“护理轨迹组”),并在其4106名护理人员中确定了一个过渡组。我们对护理需求/护理轨迹组与未满足护理需求率(近似轮次比例)之间的关联进行建模。我们说明了预测率如何因护理需求轨迹组以及由两名护理人员组成的网络的网络构成而有所不同。

结果

未满足护理需求的轮次百分比在需求少且稳定的老年人中为13%,在需求多且稳定的老年人中为62%(p < 0.01)。在模型中,护理需求轨迹组与未满足护理需求率密切相关;在护理需求急剧增加的人群中,网络构成也具有预测性。对于护理需求急剧增加的老年人,当一名护理人员提供高且可变的护理时长,另一名提供中等且稳定的护理时长时,未满足护理需求的预测率较低(0.16),与需求少且稳定的老年人的预测率(0.12)相似。

讨论与启示

研究结果凸显了老年人护理需求和护理模式随时间变化的复杂性和异质性。对于需求迅速增加的人群,识别和评估不断演变的护理网络可能是预防未满足护理需求的一个富有成效的方向。

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