Literature DB >> 18604761

Implementing a clinical decision-support system in practice: a qualitative analysis of influencing attitudes and characteristics among general practitioners.

Eva Toth-Pal1, Inger Wårdh, Lars-Erik Strender, Gunnar Nilsson.   

Abstract

In order to obtain a better understanding of barriers to the implementation of clinical decision-support systems (CDSSs) in primary health care, we explored general practitioners' (GPs) handling of a CDSS during the implementation process. An Internet-based application for the management of chronic heart failure was used that was an adaptation of established clinical guidelines for computer use. The whole implementation process was followed closely, using a combination of different methods for data collection: repeated interviews with the five participating GPs, observations of patient visits, patient interviews, and detection of usage. We analysed the data using qualitative content analysis. The results showed that GPs' attitudes and characteristics constituted different profiles that seemed to be associated with the degree of acceptance of the CDSS. Those profiles were related to conceptions about the GPs' professional role and their attitudes towards the computer's function in disease management and in decision-making. Some additional barriers were insufficient level of computer skills and time constraints in everyday work. These findings can help us identify groups of GPs with definable needs during the implementation of a CDSS and make it easier to meet those needs with individually tailored interventions.

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Year:  2008        PMID: 18604761     DOI: 10.1080/17538150801956754

Source DB:  PubMed          Journal:  Inform Health Soc Care        ISSN: 1753-8157            Impact factor:   2.439


  8 in total

Review 1.  Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals.

Authors:  Marie-Pierre Gagnon; Marie Desmartis; Michel Labrecque; Josip Car; Claudia Pagliari; Pierre Pluye; Pierre Frémont; Johanne Gagnon; Nadine Tremblay; France Légaré
Journal:  J Med Syst       Date:  2010-03-30       Impact factor: 4.460

2.  Evaluating the use of a computerized clinical decision support system for asthma by pediatric pulmonologists.

Authors:  Edwin A Lomotan; Laura J Hoeksema; Diana E Edmonds; Gabriela Ramírez-Garnica; Richard N Shiffman; Leora I Horwitz
Journal:  Int J Med Inform       Date:  2011-12-26       Impact factor: 4.046

3.  An evaluation of the usability of a computerized decision support system for nursing homes.

Authors:  M Fossum; M Ehnfors; A Fruhling; A Ehrenberg
Journal:  Appl Clin Inform       Date:  2011-10-19       Impact factor: 2.342

4.  Usability evaluation of a clinical decision support tool for osteoporosis disease management.

Authors:  Monika Kastner; Danielle Lottridge; Christine Marquez; David Newton; Sharon E Straus
Journal:  Implement Sci       Date:  2010-12-10       Impact factor: 7.327

5.  Health workers' knowledge of and attitudes towards computer applications in rural African health facilities.

Authors:  Felix Sukums; Nathan Mensah; Rose Mpembeni; Jens Kaltschmidt; Walter E Haefeli; Antje Blank
Journal:  Glob Health Action       Date:  2014-10-27       Impact factor: 2.640

6.  Development, modelling, and pilot testing of a complex intervention to support end-of-life care provided by Danish general practitioners.

Authors:  Anna Kirstine Winthereik; Mette Asbjoern Neergaard; Anders Bonde Jensen; Peter Vedsted
Journal:  BMC Fam Pract       Date:  2018-06-20       Impact factor: 2.497

7.  Reduction of inappropriate medication in older populations by electronic decision support (the PRIMA-eDS study): a qualitative study of practical implementation in primary care.

Authors:  Anja Rieckert; Christina Sommerauer; Anja Krumeich; Andreas Sönnichsen
Journal:  BMC Fam Pract       Date:  2018-07-09       Impact factor: 2.497

8.  Primary care physicians' views on osteoporosis management: a qualitative study.

Authors:  Helena Salminen; P Piispanen; E Toth-Pal
Journal:  Arch Osteoporos       Date:  2019-04-26       Impact factor: 2.617

  8 in total

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