Tags

Type your tag names separated by a space and hit enter

Computer-based decision support for pediatric asthma management: description and feasibility of the Stop Asthma Clinical System.
Health Informatics J. 2006 Dec; 12(4):259-73.HI

Abstract

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+Show Affiliations

Center for Health Promotion and Prevention Research, UT-School of Public Health, 7000 Fannin, Suite 2668, Houston, TX 77030, USA. Ross.Shegog@uth.tmc.eduNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural

Language

eng

PubMed ID

17092998

Citation

Shegog, Ross, et al. "Computer-based Decision Support for Pediatric Asthma Management: Description and Feasibility of the Stop Asthma Clinical System." Health Informatics Journal, vol. 12, no. 4, 2006, pp. 259-73.
Shegog R, Bartholomew LK, Sockrider MM, et al. Computer-based decision support for pediatric asthma management: description and feasibility of the Stop Asthma Clinical System. Health Informatics J. 2006;12(4):259-73.
Shegog, R., Bartholomew, L. K., Sockrider, M. M., Czyzewski, D. I., Pilney, S., Mullen, P. D., & Abramson, S. L. (2006). Computer-based decision support for pediatric asthma management: description and feasibility of the Stop Asthma Clinical System. Health Informatics Journal, 12(4), 259-73.
Shegog R, et al. Computer-based Decision Support for Pediatric Asthma Management: Description and Feasibility of the Stop Asthma Clinical System. Health Informatics J. 2006;12(4):259-73. PubMed PMID: 17092998.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Computer-based decision support for pediatric asthma management: description and feasibility of the Stop Asthma Clinical System. AU - Shegog,Ross, AU - Bartholomew,Leona K, AU - Sockrider,Marianna M, AU - Czyzewski,Danita I, AU - Pilney,Susan, AU - Mullen,Patricia Dolan, AU - Abramson,Stuart L, PY - 2006/11/10/pubmed PY - 2007/3/3/medline PY - 2006/11/10/entrez SP - 259 EP - 73 JF - Health informatics journal JO - Health Informatics J VL - 12 IS - 4 N2 - 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. SN - 1460-4582 UR - https://www.unboundmedicine.com/medline/citation/17092998/Computer_based_decision_support_for_pediatric_asthma_management:_description_and_feasibility_of_the_Stop_Asthma_Clinical_System_ L2 - https://journals.sagepub.com/doi/10.1177/1460458206069761?url_ver=Z39.88-2003&amp;rfr_id=ori:rid:crossref.org&amp;rfr_dat=cr_pub=pubmed DB - PRIME DP - Unbound Medicine ER -