Clinical decision support software for management of chronic heart failure: Development and evaluation

Stephen J. Leslie, Mark Hartswood, Catrin Meurig, Sinead P. McKee, Roger Slack, Rob Procter, Martin A. Denvir

Research output: Contribution to journalArticlepeer-review

Abstract

Objective. To develop and evaluate clinical decision support software (CDSS) to aid physicians treat patients with chronic heart failure (CHF). Methods. The CDSS was developed after discussions with a multidisciplinary panel. Evaluation was performed in three stages over a 6 month period including an editorial check, one-to-one interviews with potential users and educational meetings with general practitioners (GPs), junior doctors and medical students during which the CDSS was assessed in a cross-over design against paper guidelines. Opinions of the CDSS and the computer literacy of the participants were assessed by questionnaire. Results. There were several changes to the CDSS at various stages of development and evaluation. One-to-one interviews generated extensive qualitative feedback. GPs had lower computer literacy scores than junior doctors and students (both p <0.01). There were small trends when comparing the CDSS with paper guidelines. GPs scored less well (CDSS 75% vs. 80%, p = 0.41), while junior doctors and medical students appeared to improve their scores (72%-84%, p = 0.32 and 66%-77%, p = 0.19, respectively). Most (70%) found the CDSS more useful than the written guidelines. Conclusion. Development of CDSS using guidelines and expert opinion requires a multidisciplinary iterative process of feedback and software adaptation. Barriers to implementation identified include lower computer literacy among GPs, a lack of complexity within CDSS in addressing non-medical needs of patients and a reluctance among medical staff to consult guidelines during patient consultations. Improving computer skills, integrating CDSS into referral pathways and requests for investigations may be ways of enhancing use of this emerging technology. © 2005 Elsevier Ltd. All rights reserved.
Original languageEnglish
Pages (from-to)495-506
Number of pages11
JournalComputers in Biology and Medicine
Volume36
Issue number5
DOIs
Publication statusPublished - May 2006

Keywords

  • Chronic heart failure
  • Guidelines computer

Fingerprint

Dive into the research topics of 'Clinical decision support software for management of chronic heart failure: Development and evaluation'. Together they form a unique fingerprint.

Cite this