Agenzia Regionale Sanità della Regione autonoma Friuli Venezia Giulia, Area Valutazione della Salute e della Disabilità, Udine, Italy.
Disabil Rehabil. 2009;31 Suppl 1:S78-82. doi: 10.3109/09638280903317930.
To present the preliminary results of training courses on the International Classification of Functioning, Disability and Health (ICF) prepared by Italian WHO FIC CC and to report on strategies for ICF dissemination among primary health care (PHC) workers in Mavalane Health Area, Maputo, Mozambique.
A participant-observer description of ICF principles introduction and development of ICF-CY modified checklists in Mavalane health area according to a person-environment interaction classification (PEIC) tree.
The first ICF courses were held at Mavalane hospital and involved 25 health workers and 24 members of the health committee acting in the local area. The courses were prepared having as a framework the theoretical principles of the UN Convention of rights of persons with disabilities and the ICF bio-psychosocial model. The trainers adapted and modified the course materials to increase the applicability of the protocol to the cultural and social reality of Mozambique, eventually applying the person-environment interaction classification (PEIC) tree.
The very first phase of this project indicates that the use of the ICF checklist is feasible also in a crowded and busy environment like some PHC units of a developing country. However, data collection require a simpler and lighter to use data compilation tool. The proposed new checklist, which includes a PEIC tree, makes easier the compilation and the collection of data.
介绍由意大利世卫组织功能分类核心组(WHO FIC CC)编写的国际功能、残疾和健康分类(ICF)培训课程的初步结果,并报告在莫桑比克马瓦拉内卫生区初级卫生保健(PHC)工作者中传播 ICF 的策略。
采用参与者观察描述方法,介绍 ICF 原则,根据人与环境相互作用分类(PEIC)树,在马瓦拉内卫生区开发 ICF-CY 改良检查表。
第一批 ICF 课程在马瓦拉内医院举行,有 25 名卫生工作者和 24 名在当地卫生委员会工作的成员参加。课程的准备工作以联合国残疾人权利公约和 ICF 生物心理社会模式的理论原则为框架。培训师对课程材料进行了改编和修改,以增加该方案对莫桑比克文化和社会现实的适用性,最终应用了人与环境相互作用分类(PEIC)树。
该项目的第一阶段表明,检查表的使用在发展中国家一些拥挤繁忙的 PHC 单位中也是可行的。然而,数据收集需要更简单、更便于使用的数据编制工具。所提出的新检查表,包括 PEIC 树,使得数据的编制和收集更加容易。