Using occupational therapy process addressing sleep-related problems in neurorehabilitation: A cross-sectional modeling study

IF 5 Q1 PSYCHIATRY
Chia-Wei Fan, K. Drumheller
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引用次数: 11

Abstract

Introduction: Sleep is one of the main occupations defined in the occupational therapy (OT) Practice Framework-4. Methods: A survey link was sent to registered OT practitioners in Florida (N = 14,978) in September 2019 through E-mail addresses obtained from the Florida Department of Health website. A convenience sample of 213 OT practitioners responded; the majority were female (87%), with 56% reporting over 10 years of experience treating patients with neurological disorders. The person-environment-occupation-performance (PEOP) OT process provided the guiding framework for the proposed model. Spearman's rho correlation coefficients determined the correlations between the variables of interest. Regression coefficients attained through hierarchical ordinal logistic regression estimated the log odds between the variables. Results: Therapists who wrote more sleep-oriented goals were predicted to use a greater variety of sleep-related assessments (odds ratio [OR] = 1.256; 95% confidence interval [CI] = 1.171–1.347). Furthermore, a greater repertoire of sleep interventions was predicted when more types of sleep assessments were utilized (OR = 2.134 (95% CI = 1.750–2.602); more clients expressed sleep-related concerns to the OT practitioners (OR = 1.207; 95% CI = 1.044–1.395); and when the OT practitioners worked in a greater number of clinical settings (OR = 1.308; 95% CI = 1.113–1.539). Conclusion: The findings confirmed that the PEOP model might guide the OT service process when addressing sleep-related problems in neurorehabilitation. However, variations between settings and environmental facilitators/barriers may also play a role in sleep-related interventions.
在神经康复中使用职业治疗过程解决睡眠相关问题:一项横断面模型研究
引言:睡眠是职业治疗(OT)实践框架中定义的主要职业之一。方法:通过从佛罗里达州卫生部网站获取的电子邮件地址,于2019年9月向佛罗里达州注册的OT医生(N = 14,978)发送调查链接。213名门诊医生的便利样本作出了回应;大多数是女性(87%),56%报告有超过10年治疗神经系统疾病患者的经验。人-环境-职业-绩效(PEOP) OT过程为该模型提供了指导框架。斯皮尔曼相关系数决定了感兴趣的变量之间的相关性。通过层次有序逻辑回归获得的回归系数估计变量之间的对数赔率。结果:撰写更多睡眠导向目标的治疗师预计会使用更多种类的睡眠相关评估(优势比[OR] = 1.256;95%置信区间[CI] = 1.171-1.347)。此外,当使用更多类型的睡眠评估时,预测更多的睡眠干预措施(OR = 2.134 (95% CI = 1.750-2.602);更多的病人向门诊医生表达了与睡眠有关的担忧(OR = 1.207;95% ci = 1.044-1.395);当门诊医生在更多的临床环境中工作时(OR = 1.308;95% ci = 1.113-1.539)。结论:本研究结果证实了PEOP模型对神经康复患者睡眠相关问题的治疗具有一定的指导作用。然而,环境和环境促进因素/障碍之间的差异也可能在睡眠相关干预中发挥作用。
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来源期刊
Asian Journal of Social Health and Behavior
Asian Journal of Social Health and Behavior Social Sciences-Health (social science)
CiteScore
8.50
自引率
0.00%
发文量
18
审稿时长
17 weeks
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