Objectives: The burden of asthma ranks among the highest for chronic diseases. Interoperable electronic health records (EHRs) can improve the management of chronic diseases such as asthma by facilitating sharing of data between health care settings along the continuum of care. Terminology such as SNOMED CT® (Systematized Nomenclature of Medicine-Clinical Terms) and LOINC® (Logistical Observation Identifier Names and Codes) are prerequisites for interoperability of EHRs.
View Article and Find Full Text PDFPurpose: To validate electronic versions of the Mini Pediatric and Pediatric Asthma Caregiver's Quality of Life Questionnaires (MiniPAQLQ and PACQLQ, respectively), determine completion times and correlate QOL of children and caregivers.
Methods: A total of 63 children and 64 caregivers completed the paper and electronic MiniPAQLQ or PACQLQ. Agreement between versions of each questionnaire was summarized by intraclass correlation coefficients (ICC).
Objective: Work-related asthma (WRA) is under-recognized and delays in recognition contribute to long-term morbidity. The objective of the project was to develop a WRA screening questionnaire for use by primary care providers in the assessment of individuals with asthma, and to evaluate the respondent burden, test re-test reliability and face validity of the questionnaire.
Methods: A literature search was undertaken and an expert advisory committee was convened.
Rationale: Evidence-based practice may be enhanced by integrating knowledge translation tools into electronic medical records (EMRs). We examined the feasibility of incorporating an evidence-based asthma care map (ACM) into Primary Care (PC) EMRs, and reporting on performance indicators.
Methods: Clinicians and information technology experts selected 69 clinical and administrative variables from the ACM template.
Aims: To compare the measurements of asthma control using Canadian Thoracic Society (CTS) Asthma Management Consensus Summary and Global Initiative for Asthma (GINA) guidelines composite indices with and without spirometry.
Methods: Asthma control parameters were extracted from electronic medical records (EMRs) of patients ≥6 years old at two primary care sites. Asthma control ratings calculated according to CTS and GINA criteria were compared.
Background: Quality management, evaluation, and surveillance of asthma may be enhanced by access to and utilization of an asthma electronic medical record (EMR) in primary care.
Purpose: To describe the current status, support tools, and utility of asthma EMRs in primary care.
Methods: An integrative review of the literature published between 1996 and 2008 was completed using Ovid MEDLINE, EMBASE, and CINAHL databases.