| Computer-based decision support for pediatric asthma management: description and feasibility of the Stop Asthma Clinical System. | |
| | |
MedLine Citation:
|
PMID: 17092998 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Clinical guidelines can assist in the management of asthma. Decision support systems (DSSs) can enhance adherence to clinical guidelines but tend not to provide clinicians with cues for behavioral change strategies to promote patient self-management. The Stop Asthma Clinical System (SACS) is a DSS designed for this purpose. To assess feasibility, seven clinicians used SACS to guide well visits with 26 predominantly persistent pediatric asthma patients. Data were collected via survey and in-depth semi-structured interviews. SACS improved assessment of asthma severity and control, classification of and intervention in medicine and environmental trigger management problems, and development of an action plan (all p < 0.05). Clinician-patient communication was enhanced. The primary challenge was that SACS increased clinic visit time. SACS can enhance clinician behavior to improve patient asthma self-management, but more studies are indicated to mitigate temporal constraints and evaluate impact on clinician and patient communication and behavior as well as clinical outcomes. |
| | |
Authors:
|
Ross Shegog; Leona K Bartholomew; Marianna M Sockrider; Danita I Czyzewski; Susan Pilney; Patricia Dolan Mullen; Stuart L Abramson |
Related Documents
:
|
12162108 - Airways reactivity in patients with cf. 19644048 - The prevalence of nonadherence in difficult asthma. 15856858 - Do the residents in the emergency department appropriately manage patients with acute a... 12653798 - National survey on the management of rhinopathies in asthma patients by french pulmonol... 2879418 - Tens treatment at home: dependence of the efficacy on frequency of use. 10143508 - Circadian patterns of emergency asthma presentations: implications for staffing and tre... |
Publication Detail:
|
Type: Journal Article; Research Support, N.I.H., Extramural |
Journal Detail:
|
Title: Health informatics journal Volume: 12 ISSN: 1460-4582 ISO Abbreviation: Health Informatics J Publication Date: 2006 Dec |
Date Detail:
|
Created Date: 2006-11-09 Completed Date: 2007-03-01 Revised Date: 2007-11-15 |
Medline Journal Info:
|
Nlm Unique ID: 100883604 Medline TA: Health Informatics J Country: England |
Other Details:
|
Languages: eng Pagination: 259-73 Citation Subset: IM |
Affiliation:
|
Center for Health Promotion and Prevention Research, UT-School of Public Health, 7000 Fannin, Suite 2668, Houston, TX 77030, USA. Ross.Shegog@uth.tmc.edu |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Algorithms Asthma / psychology, therapy* Child Computer Systems* Decision Making, Computer-Assisted* Decision Support Systems, Clinical* Feasibility Studies Guideline Adherence Health Care Surveys Humans Interviews as Topic Physician-Patient Relations Self Care |
| Grant Support | |
ID/Acronym/Agency:
|
R18 AI39782/AI/NIAID NIH HHS |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Cell cycle-dependent calcium oscillations in mouse embryonic stem cells.
Next Document: Web-based provision of information on infectious diseases: a systems study.