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优化技术以衡量低视力或失明人群的功能性视力、移动性和服务结果:在澳大利亚和马来西亚进行的前瞻性队列研究方案。

Optimising technology to measure functional vision, mobility and service outcomes for people with low vision or blindness: protocol for a prospective cohort study in Australia and Malaysia.

机构信息

Department of Statistics, Data Science and Epidemiology, Faculty of Health, Arts and Design, Swinburne University of Technology, Hawthorn, Australia.

Client Services, Guide Dogs Victoria, Kew, Australia.

出版信息

BMJ Open. 2017 Dec 21;7(12):e018140. doi: 10.1136/bmjopen-2017-018140.

DOI:10.1136/bmjopen-2017-018140
PMID:29273657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5770903/
Abstract

INTRODUCTION

Orientation and mobility (O&M) specialists assess the functional vision and O&M skills of people with mobility problems, usually relating to low vision or blindness. There are numerous O&M assessment checklists but no measures that reduce qualitative assessment data to a single comparable score suitable for assessing any O&M client, of any age or ability, in any location. Functional measures are needed internationally to align O&M assessment practices, guide referrals, profile O&M clients, plan appropriate services and evaluate outcomes from O&M programmes (eg, long cane training), assistive technology (eg, hazard sensors) and medical interventions (eg, retinal implants). This study aims to validate two new measures of functional performance vision-related outcomes in orientation and mobility (VROOM) and orientation and mobility outcomes (OMO) in the context of ordinary O&M assessments in Australia, with cultural comparisons in Malaysia, also developing phone apps and online training to streamline professional assessment practices.

METHODS AND ANALYSIS

This multiphase observational study will employ embedded mixed methods with a qualitative/quantitative priority: corating functional vision and O&M during social inquiry. Australian O&M agencies (n=15) provide the sampling frame. O&M specialists will use quota sampling to generate cross-sectional assessment data (n=400) before investigating selected cohorts in outcome studies. Cultural relevance of the VROOM and OMO tools will be investigated in Malaysia, where the tools will inform the design of assistive devices and evaluate prototypes. Exploratory and confirmatory factor analysis, Rasch modelling, cluster analysis and analysis of variance will be undertaken along with descriptive analysis of measurement data. Qualitative findings will be used to interpret VROOM and OMO scores, filter statistically significant results, warrant their generalisability and identify additional relevant constructs that could also be measured.

ETHICS AND DISSEMINATION

Ethical approval has been granted by the Human Research Ethics Committee at Swinburne University (SHR Project 2016/316). Dissemination of results will be via agency reports, journal articles and conference presentations.

摘要

简介

定向与移动(O&M)专家评估有移动问题的人的功能性视力和 O&M 技能,这些问题通常与低视力或失明有关。有许多 O&M 评估清单,但没有任何措施可以将定性评估数据减少到适合评估任何年龄或能力的任何地点的 O&M 客户的单个可比分数。需要国际上的功能措施来调整 O&M 评估实践,指导转介,概述 O&M 客户,规划适当的服务并评估 O&M 计划(例如,长柄杖训练)、辅助技术(例如,危险传感器)和医疗干预(例如,视网膜植入物)的结果。本研究旨在验证两种新的功能性表现视力相关结果在定向和移动(VROOM)中的测量方法,以及在澳大利亚普通 O&M 评估背景下的定向和移动结果(OMO),并在马来西亚进行文化比较,同时开发手机应用程序和在线培训以简化专业评估实践。

方法和分析

这项多阶段观察性研究将采用嵌入式混合方法,具有定性/定量优先级:在社会调查中评估功能性视力和 O&M。澳大利亚 O&M 机构(n=15)提供抽样框架。O&M 专家将使用配额抽样在进行结果研究时生成横断面评估数据(n=400)。然后,将在马来西亚调查选定的队列,以研究 VROOM 和 OMO 工具的文化相关性。这些工具将为辅助设备的设计提供信息,并评估原型。还将进行探索性和验证性因素分析、Rasch 建模、聚类分析和方差分析,以及测量数据的描述性分析。定性研究结果将用于解释 VROOM 和 OMO 分数,筛选出具有统计学意义的结果,证明其普遍性,并确定可能也可以测量的其他相关结构。

伦理和传播

斯威本科技大学人类研究伦理委员会(SHR 项目 2016/316)已批准这项研究的伦理。结果将通过机构报告、期刊文章和会议演讲进行传播。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e2/5770903/feb810ad5dce/bmjopen-2017-018140f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e2/5770903/884a7ea1a4fc/bmjopen-2017-018140f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e2/5770903/71b8e6513c65/bmjopen-2017-018140f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e2/5770903/feb810ad5dce/bmjopen-2017-018140f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e2/5770903/884a7ea1a4fc/bmjopen-2017-018140f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e2/5770903/71b8e6513c65/bmjopen-2017-018140f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e2/5770903/feb810ad5dce/bmjopen-2017-018140f03.jpg

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