ABSTRACT
STUDY OBJECTIVES: To determine the relationship of literacy to asthma knowledge and ability to use a metered-dose inhaler (MDI) among patients with asthma. DESIGN: Cross-sectional survey. SETTING: Emergency department and asthma clinic at an urban public hospital. PATIENTS: Convenience sample of 273 patients presenting to the emergency department for an asthma exacerbation and 210 patients presenting to a specialized asthma clinic for routine care. INTERVENTIONS: Measurement of literacy with the Rapid Estimate of Adult Literacy in Medicine, asthma knowledge (20 question oral test), and demonstration of MDI technique (six-item assessment). MEASUREMENTS AND RESULTS: Only 27% of patients read at the high-school level, although two thirds reported being high-school graduates; 33% read at the seventh- to eighth-grade level, 27% at the fourth- to sixth-grade level, and 13% at or below the third-grade level. Mean asthma knowledge scores (+/-SD) were directly related to reading levels: 15.1+/-2.5, 13.9+/-2.5, 13.4+/-2.8, 11.9+/-2.5, respectively (p < 0.01). Patient reading level was the strongest predictor of asthma knowledge score in multivariate analysis. Poor MDI technique (< or =3 correct steps) was found in 89% of patients reading at less than the third-grade level compared with 48% of patients reading at the high-school level. In multivariate regression analyses, reading level was the strongest predictor of MDI technique. CONCLUSIONS: Inadequate literacy was common and strongly correlated with poorer knowledge of asthma and improper MDI use.
Subject(s)
Asthma/drug therapy , Educational Status , Health Knowledge, Attitudes, Practice , Self Care , Adult , Anti-Asthmatic Agents/therapeutic use , Asthma/psychology , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Nebulizers and Vaporizers , Pilot Projects , Retrospective Studies , Self Care/psychology , Self Care/standards , Surveys and Questionnaires , Urban PopulationABSTRACT
Natural Language Understanding (NLU) is a rapidly growing field in medical informatics. Its potential for tomorrow's applications is important. However, it is limited by its ability to ground its components on a solid model of the domain. This opens the way for the emergence of the discipline of medical domain modelling, as part of the vast field of Knowledge Base (KB) engineering. This article aims at describing the current development of a multilingual natural language system, strongly oriented towards the semantics of the domain. Special emphasis is presently given to the task of building a domain model, and to establish direct links with the language platform. The result is a model-driven NLU system. Numerous benefits are expected in the long term.
Subject(s)
Models, Theoretical , Natural Language Processing , Semantics , Artificial Intelligence , Humans , Medical InformaticsABSTRACT
The PEN&PAD (Geriatrics) project seeks to develop a Collaborative Patient Record System for the hospital based shared care of the elderly. The goal of the project is to produce a single, integrated information system which is both useful and usable by the different practitioner groups involved in geriatric care. A User Centred Design methodology is proposed which makes users and human issues central to the design and development process. Preliminary results indicate that the specification of a Minimum Basic Data Set as the basis of a shared record system is infeasible and undesirable. An architecture is presented which illustrates how the diversity between the different disciplines may be preserved in a Collaborative Patient Record System.