Family Physicians' Perceptions and Use of Electronic Clinical Decision Support During the First Year of Implementation

被引:47
|
作者
Heselmans, Annemie [1 ]
Aertgeerts, Bert [2 ,3 ]
Donceel, Peter
Geens, Siegfried [3 ]
Van de Velde, Stijn [3 ]
Ramaekers, Dirk [1 ,3 ,4 ]
机构
[1] Katholieke Univ Leuven, Dept Publ Hlth, B-3000 Louvain, Belgium
[2] Katholieke Univ Leuven, Acad Ctr Gen Practice, B-3000 Louvain, Belgium
[3] Belgian Ctr Evidence Based Med, Belgian Branch Cochrane Collaborat, Louvain, Belgium
[4] ZNA Hosp Network Antwerp, Antwerp, Belgium
关键词
Evidence-based medicine; Electronic clinical decision support systems; Reminder systems; Perceptions; Barriers; SYSTEMS; CARE; INFORMATION; TECHNOLOGY; ACCEPTANCE; GUIDELINES; SETTINGS;
D O I
10.1007/s10916-012-9841-3
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
An electronic decision support system (the EBMeDS system) was integrated in one of the Electronic Medical Records (EMR) of Belgian family physicians (Feb 2010). User acceptance of the system is considered as a necessary condition for the effective implementation of any IT project. Facilitators, barriers and issues of non-acceptance need to be understood in view of a successful implementation and to minimize unexpected adoption behavior. Objectives of the study were the assessment of users' perceptions towards the recently implemented EBMeDS system, the investigation of user-interactions with the system and possible relationships between perceptions and use. A mixed evaluation approach was performed consisting of a qualitative and a quantitative analysis. The technology acceptance model of UTAUT was used as a structural model for the development of our questionnaire to identify factors that may account for acceptance and use of the EBMeDS system (seven-point Likert scales). A quantitative analysis of computer-recorded user interactions with the system was performed for an evaluation period of 3 months to assess the actual use of the system. Qualitative and quantitative analysis were linked to each other. Thirty-nine family physicians (12 %) completed the survey. The majority of respondents (66 %) had a positive attitude towards the system in general. Mean intention to keep using the system was high (5,91 +/- 1,33). Their perception of the ease of use of the system (mean 5,04 +/- 1,41), usefulness (mean 4,69 +/- 1,35) and facilitating conditions (4,43 +/- 1,13) was in general positive. Only 0,35 % of reminders were requested on demand, the other 99,62 % of reminders displayed automatically. Detailed guidelines (long) were requested for 0,47 % of reminders automatically shown versus 16,17 % of reminders on request. The script behind the reminders was requested for 8,4 % of reminders automatically shown versus 13,6 % of reminders on request. The majority of respondents demonstrated a relatively high degree of acceptance towards the EBMeDS system. Although the majority of respondents was in general positive towards the ease of use of the system, usefulness and facilitating conditions, part of the statements gave rather mixed results and could be identified as important points of interest for future implementation initiatives and system improvements. It has to be stressed that our population consisted of a convenience sample of early adopters, willing to answer a questionnaire. The willingness to adopt the system depends on the willingness to use ICPC coding. As such, the quality of reminding partly depends on the quality of coding. There is a need to reach a larger population of physicians (including physicians who never used the system or stopped using the system) to validate the results of this survey.
引用
收藏
页码:3677 / 3684
页数:8
相关论文
共 50 条
  • [31] Electronic clinical decision support systems attitudes and barriers to use in the oncology setting
    Collins, I. M.
    Breathnach, O.
    Felle, P.
    IRISH JOURNAL OF MEDICAL SCIENCE, 2012, 181 (04) : 521 - 525
  • [32] Physicians Perceptions of an Educational Support System Integrated into an Electronic Health Record
    Borbolla, Damian
    Gorman, Paul
    del Fiol, Guilherme
    Mohan, Vishnu
    Hersh, William
    Otero, Carlos
    Luna, Daniel
    de Quiros, Fernan Gonzalez Bernaldo
    DATA AND KNOWLEDGE FOR MEDICAL DECISION SUPPORT, 2013, 186 : 125 - 129
  • [33] Clinician Perceptions of an Electronic Medical Record During the First Year of Implementaton in Emergency Services
    Chisolm, Deena J.
    Purnell, Tanjala S.
    Cohen, Daniel M.
    McAlearney, Ann Scheck
    PEDIATRIC EMERGENCY CARE, 2010, 26 (02) : 107 - 110
  • [34] Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine
    Dae Y. Kang
    Pamela N. DeYoung
    Justin Tantiongloc
    Todd P. Coleman
    Robert L. Owens
    npj Digital Medicine, 4
  • [35] Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine
    Kang, Dae Y.
    DeYoung, Pamela N.
    Tantiongloc, Justin
    Coleman, Todd P.
    Owens, Robert L.
    NPJ DIGITAL MEDICINE, 2021, 4 (01)
  • [36] Strategy for Implementation and First Results of Advanced Clinical Decision Support in Hospital Pharmacy Practice
    Scheepers-Hoeks, A. M. J. W.
    Grouls, R. J. E.
    Neef, C.
    Korsten, H. H. M.
    DETECTION AND PREVENTION OF ADVERSE DRUG EVENTS: INFORMATION TECHNOLOGIES AND HUMAN FACTORS, 2009, 148 : 142 - 148
  • [37] Implementation of Electronic Health Record Integration and Clinical Decision Support to Improve Emergency Department Prescription Drug Monitoring Program Use
    Hoppe, Jason A.
    Ledbetter, Caroline
    Tolle, Heather
    Heard, Kennon
    ANNALS OF EMERGENCY MEDICINE, 2024, 83 (01) : 3 - 13
  • [38] An Electronic Clinical Decision Support Tool to Assist Hospital Physicians with Prognosis: Development and Mixed Methods Evaluation
    Morris, Deborah
    Bharadwaj, Parag
    JOURNAL OF PAIN AND SYMPTOM MANAGEMENT, 2018, 55 (02) : 641 - 642
  • [39] Improving the Implementation of Clinical Decision Support Systems
    Rueping, Stefan
    Anguita, Alberto
    Bucur, Anca
    Cirstea, Traian Cristian
    Jacobs, Bjoern
    Torge, Antje
    2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 3214 - 3217
  • [40] Implementation of Clinical Decision Support System Architecture
    Kim, Jeong Ah
    Choi, Min Hee
    Cho, InSook
    FUTURE GENERATION INFORMATION TECHNOLOGY, 2011, 7105 : 371 - +