OBJECTIVE: To evaluate impact of a computer-based intervention on arterial blood gas (ABG) usage in an intensive care setting. DESIGN: Retrospectively examined, via mixed group analysis, the effects of the intervention on ABG usage in the intensive care unit (ICU). SUBJECTS: Included all clinicians who placed ABG orders in an ICU using the computerized physician order-entry system, as well as controls in non-order entry units. METHODS: Computer-based intervention presenting ordering clinician with patient s previous ABG values and limiting forward duration of tests ordered. Study spanned 12 weeks, 5 weeks pre-intervention and 7-weeks post-intervention. Of 8 ICUs, intervention implemented in 6, not implemented in 2. Data analyzed using the repeated measure ANOVA. RESULTS: Physicians entered <40% ABG orders. 376 ABGs per week processed pre-intervention, 387 per week post. Results nonsignificant with a p= 0.09. Orders placed declined from 1039 per week, Jan 2000 to 662 per week, April 2001. DISCUSSION: Study did not demonstrate significant change; limited power. Need longer study periods. Impact improved in the future by targeting physician users and tailoring intervention to specific work flow pattern of high utilization units.
OBJECTIVE: To evaluate impact of a computer-based intervention on arterial blood gas (ABG) usage in an intensive care setting. DESIGN: Retrospectively examined, via mixed group analysis, the effects of the intervention on ABG usage in the intensive care unit (ICU). SUBJECTS: Included all clinicians who placed ABG orders in an ICU using the computerized physician order-entry system, as well as controls in non-order entry units. METHODS: Computer-based intervention presenting ordering clinician with patient s previous ABG values and limiting forward duration of tests ordered. Study spanned 12 weeks, 5 weeks pre-intervention and 7-weeks post-intervention. Of 8 ICUs, intervention implemented in 6, not implemented in 2. Data analyzed using the repeated measure ANOVA. RESULTS: Physicians entered <40% ABG orders. 376 ABGs per week processed pre-intervention, 387 per week post. Results nonsignificant with a p= 0.09. Orders placed declined from 1039 per week, Jan 2000 to 662 per week, April 2001. DISCUSSION: Study did not demonstrate significant change; limited power. Need longer study periods. Impact improved in the future by targeting physician users and tailoring intervention to specific work flow pattern of high utilization units.
Authors: D W Bates; G J Kuperman; E Rittenberg; J M Teich; J Fiskio; N Ma'luf; A Onderdonk; D Wybenga; J Winkelman; T A Brennan; A L Komaroff; M Tanasijevic Journal: Am J Med Date: 1999-02 Impact factor: 4.965
Authors: D Roberts; P Ostryzniuk; E Loewen; A Shanks; T Wasyluk; L Pronger; I Hasinoff; E Roberts; T A McEwen Journal: Lancet Date: 1991-06-29 Impact factor: 79.321
Authors: Rosalie G Waller; Melanie C Wright; Noa Segall; Paige Nesbitt; Thomas Reese; Damian Borbolla; Guilherme Del Fiol Journal: J Am Med Inform Assoc Date: 2019-05-01 Impact factor: 4.497
Authors: Asli Ozdas; Theodore Speroff; L Russell Waitman; Judy Ozbolt; Javed Butler; Randolph A Miller Journal: J Am Med Inform Assoc Date: 2005-12-15 Impact factor: 4.497
Authors: Melanie C Wright; Damian Borbolla; Rosalie G Waller; Guilherme Del Fiol; Thomas Reese; Paige Nesbitt; Noa Segall Journal: J Biomed Inform X Date: 2019-06-22