Gauging the stress of long‐term care nursing assistants using ecological momentary assessment, wearable sensors and end of day reconstruction

Author:

Doran Kelly1ORCID,Witmer Susanna1,Yoon K. Lira2ORCID,Fischer Ethan Ray2,Ebangwese Abaneh1ORCID,Sharma Shifali2,Duggirala G. S. Charan2,Chen Lujie Karen2ORCID

Affiliation:

1. University of Maryland, Baltimore School of Nursing In Baltimore Baltimore Maryland USA

2. University of Maryland, Baltimore County In Baltimore Baltimore Maryland USA

Abstract

AbstractBackgroundNursing assistants working in long‐term care (LTC) often report that their job is stressful. To reduce their work stress, a better understanding of their stress profile is needed.ObjectiveWe aimed to pilot test methods to identify and understand stressors that LTC nursing assistants experience.MethodsWe asked each participant to provide wearable sensor/watch data, ecological momentary assessment (EMA) surveys and end of day review data over two eight‐hour working shifts.ResultsEight nursing assistants participated. All participants worked in a common continuing care retirement community in Maryland, United States of America. Our stress assessment method revealed 83 stressful events that were classified under 10 categories. Most of the reported events were rated as having a mild to low‐moderate intensity. The three most common causes of stress were work demands and pressure (28.35%), heavy workload and staffing (19.69%), and safety issues and COVID‐19 concerns (17.32%). We also explored the difference between stress events and intensity among different shifts. Disrespect from residents (22.73%) was the most commonly reported stressor during day shifts. Feeling rushed was the most commonly reported stressor during the evening (22.47%) and the night (38.46%) shifts.ConclusionsWe found stress was commonly reported. Stress intensity conflicted with prior literature, and we explored possible explanations.Implications for practiceWe discuss potential implications for these findings, modification of our methods to increase feasibility, the utility of these data collection methods for future work and suggest next steps.

Publisher

Wiley

Subject

Gerontology

Reference34 articles.

1. AHCA/NCAL. (2023a).Long term care jobs report may 2023. American Health Care Association/National Center for Assisted Living.https://www.ahcancal.org/News‐and‐Communications/Fact‐Sheets/FactSheets/JOBS%20REPORT%20MAY%202023.pdf

2. AHCA. (2023b).New Report Finds Access To Nursing Home Care A Growing Crisis.https://www.ahcancal.org/News‐and‐Communications/Press‐Releases/Pages/New‐Report‐Finds‐Access‐To‐Nursing‐Home‐Care‐A‐Growing‐Crisis‐.aspx

3. Burnout in hospital healthcare workers after the second COVID-19 wave: Job tenure as a potential protective factor

4. The Impact of Nurse Turnover on Quality of Care and Mortality in Nursing Homes: Evidence from the Great Recession

5. Boamah S. A. Weldrick R. Havaei F. Irshad A. &Hutchinson A.(2022).Long‐term care workers' experiences and their views about support during the COVID‐19 pandemic: A scoping review.https://doi.org/10.20944/preprints202208.0239.v1

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3