The impact of clinical decision support systems on provider behavior in the inpatient setting: A systematic review and meta-analysis

被引:10
|
作者
Ronan, Clare E. [1 ]
Crable, Erika L. [2 ,3 ]
Drainoni, Mari-Lynn [4 ,5 ,6 ]
Walkey, Allan J. [4 ,7 ]
机构
[1] Boston Med Ctr, Dept Med, 1 Boston Med Ctr Pl, Boston, MA 02118 USA
[2] Univ Calif San Diego, Child & Adolescent Serv Res Ctr, Dept Psychiat, La Jolla, CA USA
[3] Univ Calif San Diego, ACTRI UCSD Disseminat & Implementat Sci Ctr, La Jolla, CA USA
[4] Boston Univ, Evans Ctr Implementat & Improvement Sci, Dept Med, Sch Med, Boston, MA USA
[5] Boston Univ, Dept Med, Sect Infect Dis, Sch Med, Boston, MA USA
[6] Boston Univ, Dept Hlth Law Policy & Management, Sch Publ Hlth, Boston, MA USA
[7] Boston Univ, Pulm Ctr, Dept Med, Sch Med, Boston, MA USA
关键词
PHYSICIAN ORDER ENTRY; UNINTENDED CONSEQUENCES; INFORMATION-TECHNOLOGY; MEDICATION SAFETY; PATIENT OUTCOMES; OLDER-ADULTS; CARE; ALERT; SEPSIS; DESIGN;
D O I
10.1002/jhm.12825
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Clinical decision support systems (CDSS) are used to improve processes of care. CDSS proliferation may have unintended consequences impacting effectiveness. Objective To evaluate the effectiveness of CDSS in altering clinician behavior. Design Electronic searches were performed in EMBASE, PubMed, and Cochrane Central Register of Control Trials for randomized controlled trials testing the impacted of CDSS on clinician behavior from 2000-2021. Extracted data included study design, CDSS attributed and outcomes, user characteristics, settings, and risk of bias. Eligible studies were analyzed qualitatively to describe CDSS types. Studies with sufficient outcome data were included in the meta-analysis. Setting and Participants Adult inpatients in the United States. Intervention Clinical decision support system versus non-clinical decision support system. Main Outcome and Measure A random-effects model measured the pooled risk difference (RD) and odds ratio of clinicians' adherence to CDSS; subgroup analyses tested differences in CDSS effectiveness over time and by CDSS type. Results Qualitative synthesis included 22 studies. Eleven studies reported sufficient outcome data for inclusion in the meta-analysis. CDSS did not result in a statistically significant increase in clinician adoption of desired practicies (RD = 0.04 [95% confidence interval {CI} 0.00, 0.07]). CDSS from 2010-2015 (n = 5) did not increase clinician adoption of desired practice [RD -0.01, (95% CI -0.04, 0.02)].CDSS from 2016-2021 (n = 6) were associated with an increase in targeted practices [RD 0.07 (95% CI0.03, 0.12)], pInteraction = 0.004. EHR [RD 0.04 (95% CI 0.00, 0.08)] vs. non-EHR [RD 0.01 (95% CI -0.01, 0.04)] based CDSS interventions did not result in different adoption of desired practices(pInteraction = 0.27). The meta-analysis did not find an overall positive impact of CDSS on clinician behavior in the inpatient setting.
引用
下载
收藏
页码:368 / 383
页数:16
相关论文
共 50 条
  • [31] Use and accuracy of decision support systems using artificial intelligence for tumor diseases: a systematic review and meta-analysis
    Oehring, Robert
    Ramasetti, Nikitha
    Ng, Sharlyn
    Roller, Roland
    Thomas, Philippe
    Winter, Axel
    Maurer, Max
    Moosburner, Simon
    Raschzok, Nathanael
    Kamali, Can
    Pratschke, Johann
    Benzing, Christian
    Krenzien, Felix
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [32] The effect of decision support systems on pain in patients with cancer: A systematic review and meta-analysis of randomized controlled trials
    Sezgin, Merve Gozde
    Bektas, Hicran
    JOURNAL OF NURSING SCHOLARSHIP, 2022, 54 (05) : 578 - 588
  • [33] Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems
    Sahar Zare
    Zahra Meidani
    Mohammad Shirdeli
    Ehsan Nabovati
    BMC Medical Informatics and Decision Making, 21
  • [34] Laboratory test ordering in inpatient hospitals: a systematic review on the effects and features of clinical decision support systems
    Zare, Sahar
    Meidani, Zahra
    Shirdeli, Mohammad
    Nabovati, Ehsan
    BMC MEDICAL INFORMATICS AND DECISION MAKING, 2021, 21 (01)
  • [35] Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake
    Kouri, Andrew
    Yamada, Janet
    Cheung, Jeffrey Lam Shin
    Van de Velde, Stijn
    Gupta, Samir
    IMPLEMENTATION SCIENCE, 2022, 17 (01)
  • [36] Do providers use computerized clinical decision support systems? A systematic review and meta-regression of clinical decision support uptake
    Andrew Kouri
    Janet Yamada
    Jeffrey Lam Shin Cheung
    Stijn Van de Velde
    Samir Gupta
    Implementation Science, 17
  • [37] Assessing the impact of race on the juvenile waiver decision: A systematic review and meta-analysis
    Zane, Steven N.
    Welsh, Brandon C.
    Drakulich, Kevin M.
    JOURNAL OF CRIMINAL JUSTICE, 2016, 46 : 106 - 117
  • [38] Impact of standardized clinical pathways on esophagectomy: a systematic review and meta-analysis
    Puccetti, Francesco
    Wijnhoven, Bas P. L.
    Kuppusamy, MadhanKumar
    Hubka, Michal
    Low, Donald E.
    DISEASES OF THE ESOPHAGUS, 2022, 35 (02)
  • [39] Prevalence and clinical impact of frailty in COPD: a systematic review and meta-analysis
    Lina Wang
    Xiaolin Zhang
    Xinmin Liu
    BMC Pulmonary Medicine, 23
  • [40] The impact of Public Reporting on clinical outcomes: a systematic review and meta-analysis
    Campanella, Paolo
    Vukovic, Vladimir
    Parente, Paolo
    Sulejmani, Adela
    Ricciardi, Walter
    Specchia, Maria Lucia
    BMC HEALTH SERVICES RESEARCH, 2016, 16