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医护人员对老年人使用数字技术能力的态度:问卷调查研究

Attitudes of Health Care Professionals Toward Older Adults' Abilities to Use Digital Technology: Questionnaire Study.

作者信息

Mannheim Ittay, Wouters Eveline J M, van Boekel Leonieke C, van Zaalen Yvonne

机构信息

School for Allied Health Professions, Fontys University of Applied Science, Eindhoven, Netherlands.

Tranzo, Tilburg School of Social and Behavioral Sciences, Tilburg University, Tilburg, Netherlands.

出版信息

J Med Internet Res. 2021 Apr 21;23(4):e26232. doi: 10.2196/26232.

Abstract

BACKGROUND

Digital technologies (DTs) for older adults focus mainly on health care and are considered to have the potential to improve the well-being of older adults. However, adoption rates of these DTs are considered low. Although previous research has investigated possible reasons for adoption and acceptance of DT, age-based stereotypes (eg, those held by health care professionals) toward the abilities of older adults to use DTs have yet to be considered as possible barriers to adoption.

OBJECTIVE

The aim of this study was to investigate the influencing role of ageism in the context of health care professionals attitudes toward older adults' abilities to use health care DT. A further goal was to examine if social comparison and stereotype activation affect and moderate this association.

METHODS

A new measurement to assess health care professionals' attitudes toward older adults using technology (ATOAUT-10) was developed and used in 2 studies. Study 1 involved the development of the ATOAUT-10 scale using a principal component analysis and further examined health care professionals' attitudes toward the use of health care DTs and correlations with ageism. Study 2 further explored the correlation between ageism and ATOAUT in an experimental design with health care professionals.

RESULTS

In study 1, physiotherapists (N=97) rated older adults as young as 50 years as less able to use health care DT compared to younger adults (P<.001). A multiple regression analysis revealed that higher levels of ageism, beyond other predictors, were predictive of more negative ATOAUT, (β=.36; t=3.73; P<.001). In study 2, the salience of age was manipulated. Health care professionals (N=93) were randomly assigned to rate the abilities of a young or old person to use health care DT. Old age salience moderated the correlation between ageism and ATOAUT (R=0.19; F=3.35; P=.005), such that higher levels of ageism correlated with more negative ATOAUT in the old age salient condition, but not the young condition. Stereotype activation accounted for health care professionals' attitudes more than did the experience of working with older patients or the professionals' age.

CONCLUSIONS

Negative and ageist attitudes of health care professionals can potentially affect how older adults are viewed in relation to DT and consequently might influence actual use and adoption of technology-based treatment. Future studies should broaden the validation of the ATOAUT-10 scale on more diverse samples and focus on the discriminatory aspect of ageism and self-ageism of older adults. This study calls for a focus on ageism as a determinant of adoption of DT.

摘要

背景

针对老年人的数字技术(DTs)主要聚焦于医疗保健领域,被认为有潜力改善老年人的福祉。然而,这些数字技术的采用率被认为较低。尽管先前的研究已经调查了采用和接受数字技术的可能原因,但针对老年人使用数字技术能力的基于年龄的刻板印象(例如医疗保健专业人员所持有的刻板印象)尚未被视为采用的可能障碍。

目的

本研究的目的是调查年龄歧视在医疗保健专业人员对老年人使用医疗保健数字技术能力的态度背景下的影响作用。另一个目标是检验社会比较和刻板印象激活是否会影响并调节这种关联。

方法

开发了一种新的测量方法来评估医疗保健专业人员对老年人使用技术的态度(ATOAUT - 10),并在两项研究中使用。研究1涉及使用主成分分析开发ATOAUT - 10量表,并进一步考察医疗保健专业人员对使用医疗保健数字技术的态度以及与年龄歧视的相关性。研究2在与医疗保健专业人员的实验设计中进一步探索年龄歧视与ATOAUT之间的相关性。

结果

在研究1中,与年轻人相比,物理治疗师(N = 97)认为50岁及以上的老年人使用医疗保健数字技术的能力较低(P <.001)。多元回归分析显示,除其他预测因素外,更高水平的年龄歧视可预测更负面的ATOAUT,(β =.36;t = 3.73;P <.001)。在研究2中,对年龄的显著性进行了操纵。医疗保健专业人员(N = 93)被随机分配去评估年轻人或老年人使用医疗保健数字技术的能力。年龄显著性调节了年龄歧视与ATOAUT之间的相关性(R = 0.19;F = 3.35;P =.005),即更高水平的年龄歧视在年龄显著的情况下与更负面的ATOAUT相关,但在年轻人的情况下则不然。刻板印象激活比与老年患者合作的经验或专业人员的年龄更能解释医疗保健专业人员的态度。

结论

医疗保健专业人员的负面和年龄歧视态度可能会潜在地影响老年人在数字技术方面的形象,从而可能影响基于技术的治疗的实际使用和采用。未来的研究应在更多样化的样本上拓宽ATOAUT - 10量表的验证,并关注年龄歧视的歧视性方面以及老年人的自我年龄歧视。本研究呼吁关注年龄歧视作为数字技术采用的一个决定因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9776/8100887/73a37a734462/jmir_v23i4e26232_fig1.jpg

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