Computer-based decision support for pediatric asthma management: Description and feasibility of the Stop Asthma Clinical System

Health Informatics Journal

Volumn 12, Issue 4, 2006, Pages 259-273

  Shegog, Ross ^a   Bartholomew, Leona Kay ^a   Sockrider, Marianna M ^b   Czyzewski, Danita I ^b   Pilney, Susan ^c   Mullen, Patricia Dolan ^a   Abramson, Stuart L ^b  

^a UNIVERSITY OF TEXAS SCHOOL OF PUBLIC HEALTH   (United States)

^b TEXAS CHILDREN S HOSPITAL   (United States)

^c BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

Asthma management; Behavior; Clinical guidelines; Computer based decision support

Indexed keywords

ADOLESCENT; AMBULATORY CARE; ARTICLE; ASTHMA; CHILD; CHILD CARE; CLINICAL ARTICLE; CONTROLLED STUDY; DECISION SUPPORT SYSTEM; DISEASE CONTROL; DISEASE SEVERITY; DOCTOR PATIENT RELATION; FEASIBILITY STUDY; FEMALE; HUMAN; INFORMATION PROCESSING; MALE; MILD PERSISTENT ASTHMA; MODERATE PERSISTENT ASTHMA; PHYSICIAN ATTITUDE; SELF CARE; SEMI STRUCTURED INTERVIEW; SEVERE PERSISTENT ASTHMA; STATISTICAL SIGNIFICANCE; TREATMENT PLANNING;

ALGORITHMS; ASTHMA; CHILD; COMPUTER SYSTEMS; DECISION MAKING, COMPUTER-ASSISTED; DECISION SUPPORT SYSTEMS, CLINICAL; FEASIBILITY STUDIES; GUIDELINE ADHERENCE; HEALTH CARE SURVEYS; HUMANS; INTERVIEWS; PHYSICIAN-PATIENT RELATIONS; SELF CARE;

EID: 33750714431     PISSN: 14604582     EISSN: 17412811     Source Type: Journal    
DOI: 10.1177/1460458206069761     Document Type: Article

References (48)

1. Prevention NAEA. Morbidity and Mortality: 2000 Chart Book on Cardiovascular, Lung, and Blood Diseases. Bethesda, MD: National Heart, Lung, and Blood Institute, 2000.
2. Mannino D M, Moorman J E, Kingsley B, Rose D, Repace J. Health effects related to environmental tobacco smoke exposure in children in the United States: Data from the Third National Health and Nutrition Examination Survey. Archives of Pediatrics & Adolescent Medicine 2001; 155 (1); 36-41.
3. Farber H J, Wattigney W, Berenson G. Trends in asthma prevalence: The Bogalusa Heart Study. Annals of Allergy Asthma & Immunology 1997; 78 (3); 265-269.
4. Slezak J A, Persky V W, Kviz F J, Ramakrishnan V, Byers C. Asthma prevalence and risk factors in selected Head Start sites in Chicago. Journal of Asthma 1998; 35 (2); 203-212.
5. Christiansen S C, Martin S B, Schleicher N C, Koziol J A, Mathews K P, Zuraw B L. Current prevalence of asthma-related symptoms in San Diego's predominantly Hispanic inner-city children. Journal of Asthma 1996; 33 (1); 17-26.
6. National Heart, Lung, and Blood Institute. National Asthma Education and Program Expert Report. Guidelines for the Diagnosis and Management of Asthma. Report no. 91-3042. Bethesda, MD: NIH, 1991.
7. National Heart, Lung, and Blood Institute. National Institutes of Health: Global Strategy for Asthma Management and Prevention. Bethesda, MD: NIH, 1995.
8. British Thoracic Society. Statement by the British Thoracic Society, Research Unit of the Royal College of Physicians of London, King's Fund Centre, National Asthma Campaign. Guidelines for management of asthma in adults. I. Chronic persistent asthma. British Medical Journal 1990; 301; 797-800.
9. Woolcock A, Rubinfeld A R, Searle J P. Thoracic Society of Australia and New Zealand asthma action plan. Medical Journal of Australia 1989; 151; 650-653.
10. Spector S L, Nicklas R A. Practice parameters for the diagnosis and treatment of asthma. Journal of Allergy & Clinical Immunology 1995; 96; 707-870.
11. Creer T L, Winder J A, Tinkelman D. Guidelines for the diagnosis and management of asthma: Accepting the challenge. Journal Asthma 1999; 36 (5); 391-407.
12. National Heart, Lung, and Blood Institute. National Asthma Education and Prevention Program, Expert Panel 2: Guidelines for the Diagnosis and Management of Asthma. Report no. 97-4051. Bethesda, MD: NIH, 1997.
13. National Heart, Lung, and Blood Institute. Guidelines for the Diagnosis and Management of Asthma. Update on Selected Topics. Report no. 02-5074. Bethesda, MD: NIH, 2002.
14. Grant E N, Moy J N, Turner-Roan K, Daugherty S R, Weiss K B. Asthma care practices, perceptions, and beliefs of Chicago-area primary-care physicians. Chicago Asthma Surveillance Initiative Project Team. Chest 1999; 116 (4 Suppl 1); 145S-154S.
15. Gregson R K, Warner J O, Radford M. Assessment of the continued supervision and asthma management knowledge of patients possessing home nebulizers. Respiratory Medicine 1995; 89 (7); 487-493.
16. Lieu T A, Quesenberry Jr C P, Capra A M, Sorel M E, Martin K E, Mendoza G R. Outpatient management practices associated with reduced risk of pediatric asthma hospitalization and emergency department visits. Pediatrics 1997; 100 (3); 334-341.
17. Dawson K P, Van Asperen P, Higgins C, Sharpe C, Davis A. An evaluation of the action plans of children with asthma. Journal of Paediatrics & Child Health 1995; 31(1); 21-23.
18. Legorreta A P, Christian-Herman J, O'Connor R D, Hasan M M, Evans R, Leung K M. Compliance with national asthma management guidelines and specialty care: A health maintenance organization experience. Archives of Internal Medicine 1998; 158 (5); 457-464.
19. Finkelstein J A, Lozano P, Farber H J, Miroshnik I, Lieu T A. Underuse of controller medications among Medicaid-insured children with asthma. Archives of Pediatrics & Adolescent Medicine 2002; 156 (6); 562-567.
20. Hunt D L, Haynes R B, Hanna S E, Smith K. Effects of computer-based clinical decision support systems on physician performance and patient outcomes: A systematic review. Journal of the American Medical Association 1998; 280 (15); 1339-1346.
21. Shiffman R N, Liaw Y, Brandt C A, Corb G J. Computer-based guideline implementation systems: A systematic review of functionality and effectiveness. Journal of the American Medical Informatics Association 1999; 6; 104-114.
22. Creer, T L. Medication compliance and childhood asthma. In Krusnejer C A, Epstein L, Johnson S B, Yafti, S J eds Developmental Aspects of Health Compliance Behavior. Hillsdale, NJ: Erlbaum, 1993.
23. Johnston M E, Langton K B, Haynes R B, Mathieu A. Effects of computer-based clinical decision support systems on clinician performance and patient outcome. A critical appraisal of research. Annals of Internal Medicine 1994; 120 (2); 135-142.
24. de Clerq P A, Blom J A, Korsten H H, Hasman A. Approaches for creating computer-interpretable guidelines that facilitate decision support. Artificial Intelligence Medicine 2004; 31 (1); 1-27.
25. Staggers N, Thompson C B, Snyder-Halpern R. History and trends in clinical information systems in the United States. Journal of Nursing Scholarship 2001; 33 (1); 75-81.
26. Lehmann E D. Computerized decision-support tools in diabetes care: hurdles to implementation. Diabetes Technology & Therapeutics 2004; 6 (3).
27. Schneider E C, Eisenberg J M. Strategies and methods for aligning current and best medical practices. The role of information technologies. Western Journal of Medicine 1998; 168; 311-318.
28. Austin T, Iliffe S, Leaning M, Modell M. A prototype computer decision support system for the management of asthma. Journal of Medical Systems 1996; 20 (1); 45- 55.
29. Shiffman R N, Freudigman K A, Brandt C, Liaw Y, Navedo D D. A guideline implementation system using handheld computer for office management of asthma: Effects on adherence and patient outcomes. Pediatrics 2000; 105 (4).
30. Clark N M, Nothwehr F, Gong M, Evans D, Maiman L A, Hurwitz M E, Roloff D, Mellins R B. Physician-patient partnership in managing chronic illness. Academic Medicine 1995; 70 (11); 957-959.
31. Glanz K, Lewis F M, Rimer B K eds. Health Behavior and Health Education: Theory, Research, and Practice 2nd edn. San Francisco: Jossey-Bass.
32. Rogers E M. Diffusion of Innovations, 4th edn. New York: Free, 1995.
33. Helitzer, D, Heath D, Maltrud K, Sullivan E, Alverson D. Assessing or predicting adoption of telehealth using the diffusion of innovations theory: A practical example from a rural program in New Mexico. Telemedicine Journal and e-Health 2003; 9 (2); 179-187.
34. Dixon D R, Dixon B J. Adoption of information technology enabled innovations by primary care physicians: Model and questionnaire development. Journal of the American Medical Informatics Association, Symposium on Computer Applications in Medical Care 1994: 631-635.
35. Davis F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 1989; 319-340.
36. Shegog R, Shegog R, Bartholomew L K, Czyzewski D I, Sockrider M M, Craver J, Pilney S, Mullen P D, Koeppl K, Gold R S, Fernandez M, Abramson S L. Development of an expert system knowledge base: A novel approach to promote guideline congruent asthma care. Journal of Asthma 2004; 41 (4); 385-402.
37. Microsoft® SQL Server®. 2000© Microsoft Corporation, Seattle, WA. Copyright© 1987-1999.
38. ExpertRule® Release 3.8c. Attar Software Limited, Lancashire, UK. Copyright 1997.
39. Robohelp®. eHelp Corporation, San Diego, CA. http://www.ehelp.com/. 2003.
40. Powerbuilder®. Sybase Corp., Dublin, CA. http://www.sybase.com/ contact_us/worldwide/. 2003.
41. Gadd C S, Baskaran P, Lobach D F. Identification of design features to enhance utilization and acceptance of systems for Internet-based decision support at the point of care. Proceedings of the AMIA Symposium 1998; 91-95.
42. Prochaska J O, DiClemente C C, Norcross J C (1997) In search of how people change: Applications to addictive behaviors. In Marlatt G, Van den Bos G R eds Addictive Behaviors: Readings on Etiology, Prevention, and Treatment 671-696. Washington, DC: American Psychological Association.
43. American Academy of Allergy, Asthma, and Immunology. Pediatric Asthma: Promoting Best Practice. Guide for Managing Asthma in Children. Milwaukee, WI: AAAI Inc., 1999.
44. Seckman C A, Romano C A, Marden S. Evaluation of clinician response to wireless technology. Proceedings of the AMIA Symposium 2001; 612-616.
45. Cork R D, Detmer W M, Friedman C P. Development and initial validation of an instrument to measure physicians' use of knowledge about, and attitudes toward computers. Journal of the American Medical Informatics Association 1998; 5; 164-176.
46. Dansky K H, Gamm L D, Vasey J J, Barsukiewicz C K. Electronic medical records: Are physicians ready ? Journal of Healthcare Management 1999; 44 (6); 440-454.
47. Forsythe D. Using ethnography to build a working system: Rethinking basic design assumptions. In Proceedings of the 15th Annual Symposium on Computer Applications in Medical Care, American Medical Informatics Association, 505-509. New York: McGraw-Hill, 1993.
48. Aydin, C. Survey methods for assessing social impacts of computers in health care organizations. In Anderson J C, Aydin C E, Jay S J eds Evaluating Health Care Information Systems 69-115. Thousand Oaks, CA: Sage, 1994.