Effects of Mental Health Disorders on Nursing Home Residents’ Nine-Month Pain Trajectories

Author:

Brennan Penny L1ORCID,SooHoo Sonya1

Affiliation:

1. Institute for Health & Aging, University of California, San Francisco, San Francisco, California, USA

Abstract

Abstract Objective To determine the key classes of nursing home residents’ nine-month pain trajectories, the influence of residents’ mental health disorders on membership in these classes, and nine-month health-related outcomes associated with pain trajectory class membership. Methods Four times over a nine-month period, the MDS 3.0 resident assessment instrument was used to record the demographic characteristics, mental health disorder diagnoses, pain characteristics, and health and functioning outcomes of 2,539 Department of Veterans Affairs Community Living Center (VA CLC) residents. Growth mixture modeling was used to estimate the key classes of residents’ nine-month pain trajectories, the influence of residents’ mental health disorders on their pain trajectory class membership, and the associations of class membership with residents’ health and functioning outcomes at nine-month follow-up. Results Four-class solutions best described nursing home residents’ nine-month trajectories of pain frequency, severity, and interference. Residents with dementia and severe mental illness diagnoses were less likely, and those with depressive disorder, PTSD, and substance use disorder diagnoses more likely, to belong to adverse nine-month pain trajectory classes. Membership in adverse pain frequency and pain severity trajectory classes, and in trajectory classes characterized by initially high but steeply declining pain interference, portended more depressive symptoms but better cognitive and physical functioning at nine-month follow-up. Conclusions Nursing home residents’ mental health disorder diagnoses help predict their subsequent pain frequency, severity, and interference trajectories. This may be clinically useful information for improving pain assessment and treatment approaches for nursing home residents.

Funder

Department of Veterans Affairs

Office of Research and Development

Health Services Research and Development

Publisher

Oxford University Press (OUP)

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),General Medicine

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