A randomized outpatient trial of a decision-support information technology tool

被引:47
|
作者
Apkon, M
Mattera, JA
Lin, ZQ
Herrin, J
Bradley, EH
Carbone, M
Holmboe, ES
Gross, CP
Selter, JG
Rich, A
Krumholz, HM
机构
[1] Yale Univ, Sch Med, Yale New Haven Hlth, New Haven, CT 06510 USA
[2] Yale Univ, Sch Med, Dept Med, Sect Cardiovasc Med, New Haven, CT 06510 USA
[3] Yale Univ, Sch Med, Dept Epidemiol & Publ Hlth, Sect Hlth Policy & Adm, New Haven, CT 06510 USA
[4] Yale Univ, Sch Med, Dept Internal Med, New Haven, CT 06510 USA
[5] Yale Univ, Sch Med, Robert Wood Johnson Clin Scholars Program, New Haven, CT 06510 USA
[6] Amer Board Internal Med, Philadelphia, PA USA
关键词
D O I
10.1001/archinte.165.20.2388
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Decision-support information technology is often adopted to improve clinical decision making, but it is rarely rigorously evaluated. Congress mandated the evaluation of Problem-Knowledge Couplers (PKC Corp, Burlington, Vt), a decision-support tool. proposed for the Department of Defense's new health information network. Methods: This was a patient-level randomized trial conducted at 2 military practices. A total of 936 patients were allocated to the intervention group and 966 to usual care. Couplers were applied before routine ambulatory clinic visits. The primary outcome was quality of care, which was assessed based on the total percentage of any of 24 health care quality process measures (opportunities to provide evidence-based care) that were fulfilled. Secondary outcomes included medical resources consumed within 60 days of enrollment and patient and provider satisfaction. Results: There were 4639 health care opportunities (2374 in the Coupler group and 2265 in the usual-care group), with no difference in the proportion of opportunities fulfilled (33.9% vs 30.7%; P = .12). Although there was a modest improvement in performance on screening/preventive measures, it was offset by poorer performance on some measures of acute care. Coupler patients used more laboratory and pharmacy resources than usual-care patients (logarithmic mean difference, $71). No difference in patient satisfaction was observed between groups, and provider satisfaction was mixed. Conclusion: This study provides no strong evidence to support the utility of this decision-support tool, but it demonstrates the value of rigorous evaluation of decision-support information technology.
引用
收藏
页码:2388 / 2394
页数:7
相关论文
共 50 条
  • [1] Weather Information and Decision-Support Tool Needs Assessment
    Calderwood, Lily
    Koehler, Glen
    Birkel, Sean
    Roche, Erin H.
    [J]. JOURNAL OF EXTENSION, 2022, 60 (03):
  • [2] DECISION TECHNOLOGY AND INTELLIGENT DECISION-SUPPORT
    BUNN, DW
    SILVERMAN, BG
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1995, 84 (01) : 1 - 4
  • [3] Decision-Support Tool in Prehospital Care: A Systematic Review of Randomized Trials
    Hagiwara, Magnus
    Henricson, Maria
    Jonsson, Anders
    Suserud, Bjorn-Ove
    [J]. PREHOSPITAL AND DISASTER MEDICINE, 2011, 26 (05) : 319 - 329
  • [4] A Decision-Support Tool for Humanitarian Logistics
    Ashinaka, Takushi
    Kubo, Masao
    Namatame, Akira
    [J]. INTELLIGENT AND EVOLUTIONARY SYSTEMS, IES 2015, 2016, 5 : 293 - 304
  • [5] Efficacy of a Clinical Decision-Support System in an HIV Practice A Randomized Trial
    Robbins, Gregory K.
    Lester, William
    Johnson, Kristin L.
    Chang, Yuchiao
    Estey, Gregory
    Surrao, Dominic
    Zachary, Kimon
    Lammert, Sara M.
    Chueh, Henry C.
    Meigs, James B.
    Freedberg, Kenneth A.
    [J]. ANNALS OF INTERNAL MEDICINE, 2012, 157 (11) : 757 - +
  • [6] A decision-support model for technology roadmapping
    Yu, Jian
    Yu, Ming
    [J]. 2006 IEEE INTERNATIONAL CONFERENCE ON SERVICE OPERATIONS AND LOGISTICS, AND INFORMATICS (SOLI 2006), PROCEEDINGS, 2006, : 1157 - +
  • [7] INFORMATION INTEGRATION IN A DECISION-SUPPORT SYSTEM
    HUDSON, DL
    COHEN, ME
    DEEDWANIA, PC
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 1994, : 1051 - 1051
  • [8] Development of a decision-support tool to quantify authorship contributions in clinical trial publications
    Mathew, Sam T.
    Razack, Habeeb Ibrahim Abdul
    Viswanathan, Prasanth
    [J]. SCIENCE EDITING, 2022, 9 (01): : 22 - 29
  • [9] METAGRAPHS - A TOOL FOR MODELING DECISION-SUPPORT SYSTEMS
    BASU, A
    BLANNING, RW
    [J]. MANAGEMENT SCIENCE, 1994, 40 (12) : 1579 - 1600
  • [10] A Decision-Support Tool for Renal Mass Classification
    Gautam Kunapuli
    Bino A. Varghese
    Priya Ganapathy
    Bhushan Desai
    Steven Cen
    Manju Aron
    Inderbir Gill
    Vinay Duddalwar
    [J]. Journal of Digital Imaging, 2018, 31 : 929 - 939