title: Computer-based decision support for pediatric asthma management: description and feasibility of the Stop Asthma Clinical System.
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.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
authors.forename: Ross
authors.initials: R
authors.lastname: Shegog
authors.forename: Leona K
authors.initials: LK
authors.lastname: Bartholomew
authors.forename: Marianna M
authors.initials: MM
authors.lastname: Sockrider
authors.forename: Danita I
authors.initials: DI
authors.lastname: Czyzewski
authors.forename: Susan
authors.initials: S
authors.lastname: Pilney
authors.forename: Patricia Dolan
authors.initials: PD
authors.lastname: Mullen
authors.forename: Stuart L
authors.initials: SL
authors.lastname: Abramson
mesh_terms: D000465:Algorithms; D001249:Asthma / Q000523:psychology / Q000628:therapy*; D002648:Child; D003199:Computer Systems; D003658:Decision Making, Computer-Assisted; D020000:Decision Support Systems, Clinical; D005240:Feasibility Studies; D019983:Guideline Adherence; D019538:Health Care Surveys; D006801:Humans; D007407:Interviews as Topic; D010817:Physician-Patient Relations; D012648:Self Care