Institute for Health & Aging, University of California, San Francisco, San Francisco, California, USA.
Pain Med. 2020 Mar 1;21(3):488-500. doi: 10.1093/pm/pnz177.
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.
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.
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.
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.
确定养老院居民九个月疼痛轨迹的关键类别,居民心理健康障碍对其所属轨迹类别的影响,以及与疼痛轨迹类别成员相关的九个月健康相关结果。
在九个月的时间内,四次使用 MDS 3.0 居民评估工具记录 2539 名退伍军人事务社区生活中心(VA CLC)居民的人口统计学特征、心理健康障碍诊断、疼痛特征以及健康和功能结果。增长混合物模型用于估计居民九个月疼痛轨迹的关键类别、居民心理健康障碍对其疼痛轨迹类别的影响,以及类别成员与居民九个月随访时健康和功能结果的关联。
四类解决方案最能描述养老院居民九个月的疼痛频率、严重程度和干扰轨迹。患有痴呆症和严重精神疾病诊断的居民不太可能,而患有抑郁障碍、创伤后应激障碍和物质使用障碍诊断的居民更有可能属于不利的九个月疼痛轨迹类别。不良疼痛频率和疼痛严重程度轨迹类别的成员,以及疼痛干扰最初较高但急剧下降的轨迹类别的成员,预示着九个月随访时更多的抑郁症状,但认知和身体功能更好。
养老院居民的心理健康障碍诊断有助于预测他们随后的疼痛频率、严重程度和干扰轨迹。这可能是改善养老院居民疼痛评估和治疗方法的临床有用信息。