运动中的星期六:加州-哥伦比亚通过跨学科团队方法治疗帕金森病的教育和赋权。

IF 2.1 4区 医学 Q3 CLINICAL NEUROLOGY Parkinson's Disease Pub Date : 2020-07-15 eCollection Date: 2020-01-01 DOI:10.1155/2020/2497386
Beatriz E Muñoz, Valentina Quintana-Peña, Maria C Gonzalez, Jaime A Valderrama, Yor Jaggy Castaño-Pino, Domiciano Rincón, Andrés Navarro, Jorge L Orozco
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引用次数: 2

摘要

帕金森病(PD)是最常见的与年龄相关的神经退行性疾病之一。由于功能损害,PD的进展对患者产生了重要的疾病负担,这也对护理人员产生了影响。此外,它已成为卫生系统面临的挑战,特别是在资源有限的发展中国家。采用社区方法的多学科小组在高收入国家证明是有效的;然而,在低收入和中等收入国家没有关于这种倡议的文献报道。目的:本文旨在记录患者,护理人员和专家在社区方法作为一种创新模式在中等收入国家的经验。方法:采用定量描述性研究。选择标准是患有帕金森病,与护理人员一起参加周六运动(SIM),或被邀请参加SIM的临床专家。PD患者及其护理人员回答了三个关于他们对SIM的看法的调查:SIM和他们的生活质量(QoL)、PDQ-39和Zarit,而临床专家完成了两个与SIM计划相关的问题。采用描述性统计方法对调查结果和临床试验结果进行汇总。结果:分别有48名、24名和21名受试者回答了调查一、二和三。共采访了4位临床专家。87.9%的患者认为SIM活动改善了他们的生活质量。PDQ-39受影响最大的是与社会领域相关的领域。约66.6%的护理人员报告了轻度的Zarit负担,并认为SIM提高了PD患者的生活质量。临床专家强调了社区意识和同理心。结论:我们的初步经验显示了一个多学科的模式与社区的方法,重新定义了传统的病人,护理人员和临床专家之间的关系。这项倡议的目的是教育和授权患者和护理人员更好地了解生活质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Saturdays-in-Motion: Education and Empowerment through an Interdisciplinary Team Approach for Parkinson's Disease in Cali-Colombia.

Introduction: Parkinson's disease (PD) is one of the most prevalent age-related neurodegenerative disorders. The progression of PD produces an important disease burden in patients due to functional impairment, which also has repercussions on caregivers. In addition, it has become a challenge for health systems, especially in developing countries, which have limited resources. Multidisciplinary teams with a community approach have proved effective in high-income countries; however, there is no reported literature in low- and middle-income countries about this kind of initiative.

Objective: This paper aims to document the experience of patients, caregivers, and experts in a community approach as an innovative model in a middle-income country.

Methods: A quantitative descriptive research was conducted. The selection criteria were having a PD diagnosis, attending with a caregiver to Saturdays in Motion (SIM), or being a clinical expert invited to SIM. PD patients and their caregivers answered three surveys on their points of view with respect to SIM: SIM and their quality of life (QoL) and PDQ-39 and Zarit, whereas clinical experts completed two questions related to the SIM program. Descriptive statistics were used to summarize the results of the surveys and clinical tests.

Results: Forty-eight, twenty-four, and twenty-one subjects answered surveys one, two, and three, respectively. In total, four clinical experts were interviewed. 87.9% of the patients consider that SIM activities improved their QoL. The most affected areas in PDQ-39 were those related to the social area. Around 66.6% of the caregivers reported a mild burden on Zarit and think that SIM enhances the PD patient's QoL. Clinical experts highlighted the sense of community and empathy.

Conclusion: Our preliminary experience shows a multidisciplinary model with a community approach which redefines the traditional relationship between patients, caregivers, and clinical experts. This aim of this initiative is that education and empowerment patients and caregivers reach a better perception of QoL.

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来源期刊
Parkinson's Disease
Parkinson's Disease CLINICAL NEUROLOGY-
CiteScore
5.80
自引率
3.10%
发文量
0
审稿时长
18 weeks
期刊介绍: Parkinson’s Disease is a peer-reviewed, Open Access journal that publishes original research articles, review articles, and clinical studies related to the epidemiology, etiology, pathogenesis, genetics, cellular, molecular and neurophysiology, as well as the diagnosis and treatment of Parkinson’s disease.
期刊最新文献
Effectiveness and Feasibility of Nonpharmacological Interventions for People With Parkinson's Disease and Cognitive Impairment on Patient-Centred Outcomes: Systematic Review and Meta-Analysis. Validation and Psychometric Properties of the Spanish Version of King's Parkinson's Disease Pain Scale. A Cognitive-Behavioral Model of Apathy in Parkinson's Disease. Possible Implications of Managing Alexithymia on Quality of Life in Parkinson's Disease: A Systematic Review. Implications of Convolutional Neural Network for Brain MRI Image Classification to Identify Alzheimer's Disease.
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