Unveiling Assessment Gaps in Parkinson's Disease Psychosis: A Scoping Review

帕金森病 心理学 系统回顾 精神病 构造(python库) 运动症状 疾病 医学 梅德林 精神科 计算机科学 病理 政治学 法学 程序设计语言
作者
Graziella Mangone,Michelle Hyczy de Siqueira Tosin,Christopher G. Goetz,Glenn T. Stebbins,Tiago Mestre
出处
期刊:Movement Disorders [Wiley]
卷期号:39 (3): 560-570 被引量:3
标识
DOI:10.1002/mds.29710
摘要

Abstract Background Parkinson's disease psychosis (PDP) is a multidimensional construct that is challenging to measure. Accurate assessment of PDP requires comprehensive and reliable clinical outcome assessment (COA) measures. Objective To identify PDP measurement gaps in available COAs currently used in clinical and research settings. Methods We conducted a scoping review using Preferred Reporting Items for Systematic Review and Meta‐Analysis Extension for Scoping Reviews (PRISMA‐ScR) guidelines. We implemented a three‐step search strategy in international databases with keywords related to Parkinson's disease (PD), psychosis, and COA. We analyzed studies using COA to assess PDP, classifying their items according to domains and subdomains. Results From 5673 identified studies, we included 628 containing 432 PDP core items from 32 COAs. Among the 32 COAs, 19 were PD‐specific, containing 266 items, constructed as clinician‐reported outcomes (ClinRO) (148 items), patient‐reported outcomes (PRO) (112 items), and observer‐reported outcomes (ObsRO) (six items). Across all PD‐specific COAs, regardless of structure, 89.4% of the items from 27 COAs focused primarily on assessing PDP symptoms' severity, and only 9.7% of items probed the impact of PDP on a person's daily functioning. Conclusions Symptom‐based domains are currently prioritized for measuring the severity of PDP, with limited coverage of the functional impact of PDP on patients' lives. Whereas the International Parkinson and Movement Disorder Society has traditionally developed a “Unified” COA that culls items from prior COAs to form a new one, a new COA will largely need newly developed items if the functional impact of PDP is prioritized. © 2024 International Parkinson and Movement Disorder Society.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
1秒前
康米魅影发布了新的文献求助10
2秒前
加纳完成签到,获得积分10
4秒前
6秒前
7秒前
天天快乐应助Jiaox采纳,获得10
8秒前
Ryan发布了新的文献求助10
8秒前
9秒前
花啊拾肆完成签到,获得积分10
9秒前
9秒前
科研通AI2S应助残剑月采纳,获得10
11秒前
JamesPei应助hamster666采纳,获得10
12秒前
13201099463完成签到,获得积分10
12秒前
NexusExplorer应助花啊拾肆采纳,获得10
12秒前
12秒前
科研通AI6.4应助猫橘汽水采纳,获得10
12秒前
13秒前
Terry发布了新的文献求助10
13秒前
威武忆山完成签到 ,获得积分10
13秒前
lzh1353730567发布了新的文献求助10
14秒前
15秒前
clewaychan完成签到,获得积分10
16秒前
16秒前
大雪纷飞发布了新的文献求助10
16秒前
ilovey0关注了科研通微信公众号
16秒前
17秒前
牛牛发布了新的文献求助10
18秒前
123完成签到,获得积分20
20秒前
青柏完成签到 ,获得积分10
20秒前
20秒前
阿无发布了新的文献求助10
20秒前
忧郁寒荷发布了新的文献求助10
22秒前
脑洞疼应助搜嘎采纳,获得10
22秒前
jhlz5879完成签到,获得积分0
22秒前
玉沐沐发布了新的文献求助10
23秒前
23秒前
所所应助天天向上采纳,获得10
23秒前
dd完成签到 ,获得积分10
24秒前
瑞rui完成签到 ,获得积分10
25秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Mammalian Synthetic Biology 500
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7639208
求助须知:如何正确求助?哪些是违规求助? 9212313
关于积分的说明 19761858
捐赠科研通 7205903
什么是DOI,文献DOI怎么找? 3275978
关于科研通互助平台的介绍 2437546
邀请新用户注册赠送积分活动 2273227