Literature DB >> 20378396

The effect of computerized decision support on barriers to guideline implementation: a qualitative study in outpatient cardiac rehabilitation.

Rick Goud1, Mariette van Engen-Verheul, Nicolette F de Keizer, Roland Bal, Arie Hasman, Irene M Hellemans, Niels Peek.   

Abstract

CONTEXT: Computerized decision support systems (CDSSs) can be used to improve the implementation of clinical practice guidelines by changing the behaviour of care professionals. While the influence of system characteristics on the effectiveness of CDSSs is studied, little is known about the relation between cognitive, organizational and environmental factors, and CDSSs' effectiveness.
OBJECTIVE: To assess the effect of CDSSs on cognitive, organizational, and environmental factors that hamper guideline implementation.
DESIGN: In-depth, semi-structured interviews with care professionals, on reasons for improved adherence or persistent non-adherence to the prevailing guideline after successful adoption of a CDSS. All remarks regarding guideline implementation were extracted and classified using the conceptual framework from Cabana et al.
SETTING: Outpatient cardiac rehabilitation clinics. PARTICIPANTS: Care professionals that used the CARDSS decision support system for therapeutic decision making in cardiac rehabilitation.
RESULTS: Twenty-nine rehabilitation nurses and physiotherapists from 21 Dutch clinics were interviewed. CARDSS improved guideline adherence by increasing its users' familiarity with the guidelines' recommendations and decision logic, by overcoming users' inertia to previous practice, and by reducing guideline complexity for example by facilitating calculation and interpretation of data. If the system's recommendations were shared with patients, refusal to participate in therapies reduced. CARDSS never incited users to target barriers related to organizational or environmental constraints.
CONCLUSION: Our results suggest that computerized decision support can improve guideline implementation by increasing the knowledge of preferred practice, by reducing inertia to previous practice, and by reducing guideline complexity. However, computerized decision support is not effective when organizational or procedural changes are required that users consider to be beyond their tasks and responsibilities. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20378396     DOI: 10.1016/j.ijmedinf.2010.03.001

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  20 in total

1.  Reconciling pairs of concurrently used clinical practice guidelines using Constraint Logic Programming.

Authors:  Szymon Wilk; Martin Michalowski; Wojtek Michalowski; Marisela Mainegra Hing; Ken Farion
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 2.  Computerization of workflows, guidelines, and care pathways: a review of implementation challenges for process-oriented health information systems.

Authors:  Phil Gooch; Abdul Roudsari
Journal:  J Am Med Inform Assoc       Date:  2011-07-01       Impact factor: 4.497

3.  The Effect of a Clinical Decision Support System on Improving Adherence to Guideline in the Treatment of Atrial Fibrillation: An Interrupted Time Series Study.

Authors:  Reza Sheibani; Mehdi Sheibani; Alireza Heidari-Bakavoli; Ameen Abu-Hanna; Saeid Eslami
Journal:  J Med Syst       Date:  2017-12-23       Impact factor: 4.460

4.  Optimizing the language and format of guidelines to improve guideline uptake.

Authors:  Samir Gupta; Navjot Rai; Onil Bhattacharrya; Alice Y Y Cheng; Kim A Connelly; Louis-Philippe Boulet; Alan Kaplan; Melissa C Brouwers; Monika Kastner
Journal:  CMAJ       Date:  2016-04-18       Impact factor: 8.262

5.  Exercise training programs in Dutch cardiac rehabilitation centres.

Authors:  T Vromen; R F Spee; J J Kraal; N Peek; M M van Engen-Verheul; R A Kraaijenhagen; H J H Gijsbers; H M C Kemps
Journal:  Neth Heart J       Date:  2013-03       Impact factor: 2.380

6.  Improving guideline concordance in multidisciplinary teams: preliminary results of a cluster-randomized trial evaluating the effect of a web-based audit and feedback intervention with outreach visits.

Authors:  Mariëtte M van Engen-Verheul; Wouter T Gude; Sabine N van der Veer; Hareld M C Kemps; Monique M W Jaspers; Nicolette F de Keizer; Niels Peek
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

7.  Improving guideline adherence for cardiac rehabilitation in the Netherlands.

Authors:  H M C Kemps; M M van Engen-Verheul; R A Kraaijenhagen; R Goud; I M Hellemans; H J van Exel; M Sunamura; R J Peters; N Peek
Journal:  Neth Heart J       Date:  2011-06       Impact factor: 2.380

8.  Requirements for guidelines systems: implementation challenges and lessons from existing software-engineering efforts.

Authors:  Hemant Shah; Raymond D Allard; Robert Enberg; Ganesh Krishnan; Patricia Williams; Prakash M Nadkarni
Journal:  BMC Med Inform Decis Mak       Date:  2012-03-09       Impact factor: 2.796

9.  Evaluation of the use of decision-support software in carcino-embryonic antigen (CEA)-based follow-up of patients with colorectal cancer.

Authors:  Charlotte J Verberne; Cornelis H Nijboer; Geertruida H de Bock; Irene Grossmann; Theo Wiggers; Klaas Havenga
Journal:  BMC Med Inform Decis Mak       Date:  2012-03-05       Impact factor: 2.796

10.  Development of a Symptom-Focused Model to Guide the Prescribing of Antipsychotics in Children and Adolescents: Results of the First Phase of the Safer Use of Antipsychotics in Youth (SUAY) Clinical Trial.

Authors:  Robert B Penfold; Ella E Thompson; Robert J Hilt; Nadine Schwartz; Adelaide S Robb; Christoph U Correll; Douglas Newton; Kelly Rogalski; Marian F Earls; Robert A Kowatch; Arne Beck; Bobbi Jo H Yarborough; Stephen Crystal; Benedetto Vitiello; Kelly J Kelleher; Gregory E Simon
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2021-05-04       Impact factor: 8.829

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