Use of the WHO hand hygiene self-assessment framework tool in Dutch hospitals
نویسندگان
چکیده
منابع مشابه
Use of the WHO hand hygiene self-assessment framework tool in Dutch hospitals
Introduction / objectives Recently, the WHO First Global Patient Safety Challenge team launched its newest tool, the Hand Hygiene SelfAssessment Framework, a validated tool to assess hand hygiene promotion and practices in health-care facilities (http://www.who.int/gpsc/country_work/hhsa_framework/ en/index.html). Aim of the present study is to access the hand hygiene status-quo of Dutch hospit...
متن کاملTesting of the WHO hand hygiene self-assessment framework
Methods Development consisted of three phases: initial drafting, usability testing and reliability testing. The HHSF draft was developed by a team of experts, based on the key elements of the WHO multimodal HH improvement strategy. For usability testing, 42 HC facilities were invited to score their facility and complete a feedback survey. For inter-rater reliability testing, two users in each f...
متن کاملBackground and features of the WHO hand hygiene self-assessment framework
Methods A task force (TF) of HH experts developed the tool and identified the following desired features: 1) to reflect the 5 components of the WHO MHHIS; 2) to include measurable indicators based on scientific evidence and expert consensus; 3) to be in the format of a userfriendly questionnaire; 4) to be associated with a score; 5) to be usable repetitively over time. Tool development steps we...
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این تحقیق به منظور بررسی رابطه بین میزان استراتژیهای خود-تنظیم شده یادگیری و تمایل به ایجاد ارتباط دانشجویان زبان انگلیسی انجام شده است.علاوه بر این،روابط و کنش های موجود بین ریزسنجه های استراتژیهای خود-تنظیم شده یادگُیری ، مهارت نگارش و تمایل به برقراری ارتباط و همچنین تاٍثیرجنسیت دانشجویان زبان انگلیسی در استراتژیهای خود-تنظیم شده یادگیری و تمایل به برقراری ارتباط آنها مورد بررسی قرار گرفته شد.
15 صفحه اولVision-Based Hand Hygiene Monitoring in Hospitals
Recent progress in developing cost-effective depth sensors has enabled new AIassisted solutions such as assisted driving vehicles and smart spaces. Machine learning techniques have been successfully applied on these depth signals to perceive meaningful information about human behavior. In this work, we propose to deploy depth sensors in hospital settings and use computer vision methods to enabl...
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ژورنال
عنوان ژورنال: BMC Proceedings
سال: 2011
ISSN: 1753-6561
DOI: 10.1186/1753-6561-5-s6-p131