有特殊医疗保健需求的青少年和青年人群中促进医疗保健过渡准备的相关因素

Benedicta C. Anikputa , Sharon D. Horner , Cecily L. Betz , Megan Thomas-Hebdon , Cara Young
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引用次数: 0

摘要

在美国,有特殊医疗保健需求的儿童(SHCN)是一个不断增长的群体,由于医学的进步,他们正在存活到成年,并有望从儿科护理过渡到成人护理。本研究的目的是确定并描述哪些生态变量(内在控制点、自我效能、自我倡导、青少年责任、父母责任或感知到的医疗保健提供者沟通)对患有SHCN的青少年和年轻成人(AYA)过渡到成人医疗保健系统最有影响。方法从专科诊所、高校、地方和国家组织中抽取年龄在18-25岁之间的患有SHCN的AYA方便样本。传单被张贴在当地的机构和企业。研究人员还联系了与SHCN合作的AYA以及与SHCN合作的AYA。参与者完成了一份在线调查,并使用多元线性回归来回答研究问题。结果自我倡导(p= 0.013)、自我效能(p= 0.07)、青少年责任(p= 0.01)和与医疗服务提供者沟通(p= 0.014)显著预测转变准备。所得模型具有显著性(F (1,78) =6.39, P=。[au:] [au:]540和r2 =.573)。本研究通过研究从理论上被视为潜在影响过渡准备的多个领域的因素来解决文献中的空白。通过确定哪些转换变量对于转换准备是最重要和必要的,然后可以创建程序来支持它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associated factors that contribute to readiness for healthcare transition in a population of adolescents and young adults with special healthcare needs

Background

Children with special health care needs (SHCN) are a growing population in the United States, who because of advancements in medicine, are surviving into adulthood and are expected to transition from pediatric care to adult care. The purpose of this study was to identify and describe which ecological variables (internal locus of control, self-efficacy, self-advocacy, adolescent responsibility, parental responsibility, or perceived healthcare provider communication) are most influential in preparing adolescents and young adults (AYA) with SHCN to transition into the adult healthcare system.

Methods

A convenience sample of AYA with SHCN between the ages of 18–25, were recruited from specialty clinics, universities, local and national organizations. Flyers were placed at local establishments and businesses. The researcher also reached out to AYA with SHCN and those that worked with AYA with SHCN. Participants completed an online survey and multiple linear regression was used to answer the research question.

Results

Self-advocacy (p=.013), self-efficacy (p=.007), adolescent responsibility (p<.001), and communication with healthcare provider (p=.014) significantly predicted transition readiness. The resultant model was significant (F (1, 78) =6.39, P=.014, Adj R 2 =.540 and R 2 =.573).

Conclusion

This study addresses the gap in literature by examining factors from multiple domains that are theoretically seen as potentially influencing transition readiness. By determining which transition variables are the most important and necessary for transition readiness, then programs can be created to bolster them.
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