共 45 条
Clinical impacts of an integrated electronic health record-based smoking cessation intervention during hospitalisation
被引:3
|作者:
Banerjee, Somalee
[1
]
Alabaster, Amy
[2
]
Adams, Alyce S.
[3
]
Fogelberg, Renee
[1
]
Patel, Nihar
[1
]
Young-Wolff, Kelly
[2
]
机构:
[1] Kaiser Permanente Oakland Med Ctr, Oakland, CA 94611 USA
[2] Kaiser Permanente Northern Calif, Div Res, Oakland, CA USA
[3] Stanford Univ, Stanford, CA USA
来源:
BMJ OPEN
|
2023年
/
13卷
/
12期
关键词:
Health informatics;
GENERAL MEDICINE (see Internal Medicine);
Information technology;
UNITED-STATES;
ADULTS;
SMOKERS;
D O I:
10.1136/bmjopen-2022-068629
中图分类号:
R5 [内科学];
学科分类号:
1002 ;
100201 ;
摘要:
Objective To assess the effects of an electronic health record (EHR) intervention that prompts the clinician to prescribe nicotine replacement therapy (NRT) at hospital admission and discharge in a large integrated health system. Design Retrospective cohort study using interrupted time series (ITS) analysis leveraging EHR data generated before and after implementation of the 2015 EHR-based intervention. Setting Kaiser Permanente Northern California, a large integrated health system with 4.2 million members. Participants Current smokers aged >= 18 hospitalised for any reason.ExposureEHR-based clinical decision supports that prompted the clinician to order NRT on hospital admission (implemented February 2015) and discharge (implemented September 2015). Main outcomes and measures Primary outcomes included the monthly percentage of admitted smokers with NRT orders during admission and at discharge. A secondary outcome assessed patient quit rates within 30 days of hospital discharge as reported during discharge follow-up outpatient visits. Results The percentage of admissions with NRT orders increased from 29.9% in the year preceding the intervention to 78.1% in the year following (41.8% change, 95% CI 38.6% to 44.9%) after implementation of the admission hard-stop intervention compared with the baseline trend (ITS estimate). The percentage of discharges with NRT orders increased acutely at the time of both interventions (admission intervention ITS estimate 15.5%, 95% CI 11% to 20%; discharge intervention ITS estimate 13.4%, 95% CI 9.1% to 17.7%). Following the implementation of the discharge intervention, there was a small increase in patient-reported quit rates (ITS estimate 5.0%, 95% CI 2.2% to 7.8%). Conclusions An EHR-based clinical decision-making support embedded into admission and discharge documentation was associated with an increase in NRT prescriptions and improvement in quit rates. Similar systemic EHR interventions can help improve smoking cessation efforts after hospitalisation.
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