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囊性纤维化成人中人口统计学特征与未满足的支持性护理需求之间的关联。

Associations between demographic characteristics and unmet supportive care needs in adults with cystic fibrosis.

机构信息

H. John Heinz III College of Information Systems and Public Policy, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.

Center for Research on Health Care Data Center, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

出版信息

BMJ Support Palliat Care. 2022 Jul;12(e2):e281-e284. doi: 10.1136/bmjspcare-2019-001819. Epub 2019 Aug 31.

Abstract

CONTEXT

Patients living with cystic fibrosis (CF) report impaired quality of life. Little is known about unmet supportive care needs among adults living with CF and how they are associated with demographic characteristics.

OBJECTIVES

The primary objective of this study was to identify associations between demographic variables and unmet supportive care needs regarding anxiety, sadness, pain and uncertainty about the future of living with CF.

METHODS

We recruited 165 adults with CF from a single academic medical centre to complete a brief demographic survey and the Supportive Care Needs Survey (SCNS-34), a validated self-reported needs assessment that measures the prevalence of and preferences for support for 34 needs that commonly occur in patients with serious illness.

RESULTS

Approximately half of the participant sample was male, with a median age of 29 years, varying income levels and a range of lung disease severity. We found statistically significant associations between insufficient income and increased odds of reporting need for support regarding anxiety (OR: 6.48; 95% CI 2.08 to 20.2), sadness (OR: 6.15; 95% CI 2.04 to 18.5), pain (OR: 7.06; 95% CI 2.22 to 22.4) and worries surrounding uncertainty about the future (OR: 3.43; 95% CI 1.18 to 9.99).

CONCLUSION

Adults with CF report significant unmet needs for support in several physical and emotional domains. Many of these domains were associated with demographic characteristics, most notably, income. Our findings underscore the importance of developing treatment approaches that are sensitive to patient demographics when addressing unmet supportive care needs among adults with CF.

摘要

背景

囊性纤维化(CF)患者报告生活质量受损。目前对于 CF 成年患者的未满足支持性护理需求知之甚少,也不知道这些需求与人口统计学特征之间的关系。

目的

本研究的主要目的是确定人口统计学变量与 CF 患者的焦虑、悲伤、疼痛和对未来生活不确定性的未满足支持性护理需求之间的关联。

方法

我们从一家学术医疗中心招募了 165 名 CF 成年患者,让他们完成一份简短的人口统计学调查和支持性护理需求调查(SCNS-34),这是一种经过验证的自我报告需求评估工具,可衡量 34 种常见于严重疾病患者的支持需求的发生率和偏好。

结果

参与者样本中约有一半是男性,中位年龄为 29 岁,收入水平不等,肺部疾病严重程度不一。我们发现,收入不足与报告需要支持焦虑(OR:6.48;95%CI 2.08 至 20.2)、悲伤(OR:6.15;95%CI 2.04 至 18.5)、疼痛(OR:7.06;95%CI 2.22 至 22.4)和对未来不确定性的担忧(OR:3.43;95%CI 1.18 至 9.99)的可能性增加之间存在统计学显著关联。

结论

CF 成年患者在多个身体和情感领域报告存在显著的未满足支持性护理需求。这些领域中的许多与人口统计学特征有关,最显著的是收入。我们的研究结果强调了在解决 CF 成年患者的未满足支持性护理需求时,开发针对患者人口统计学特征敏感的治疗方法的重要性。

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