The efficacy of an automated feedback system for general
practitioners

Bindels, Rianne; Hasman, Arie; Kester, A.D.M.; Talmon, Jan L.; Clercq, P.A. de; Winkens, Ron

doi:10.14236/jhi.v11i2.554

Cited by 12 publications

(15 citation statements)

References 19 publications

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“…Some research studies were excluded from this review where the primary endpoints measured were subjective (patient-reported) measures of improvement, 27 if the intervention mixed computer-generated CDSS with non-electronic forms of decision support 28 or if a decision-support intervention was utilised that was not in real time or not delivered at the point of care. 29 Until variations such as these are controlled, it is difficult to assess generalisability of any given CDSS system.…”

Section: Discussionmentioning

confidence: 99%

The use and effectiveness of electronic clinical decision support tools in the ambulatory/primary care setting: a systematic review of the literature

Bryan¹,

Boren²

2008

Journal of Innovation in Health Informatics

114

105

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Section: Discussionmentioning

confidence: 99%

The use and effectiveness of electronic clinical decision support tools in the ambulatory/primary care setting: a systematic review of the literature

Bryan¹,

Boren²

2008

Journal of Innovation in Health Informatics

114

105

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“…Studies related to ordering habits mostly nudged by making information visible or providing reminders (51%) (e.g. Bindels et al, 2003;Lo et al, 2009;Roukema, Steyerberg, van der Lei & Moll, 2008) but also by changing the range or composition of options (18%) (e.g. Kahan et al, 2009;Poley et al, 2007).…”

Section: Nudges and Targeted Outcomesmentioning

confidence: 99%

Nudging healthcare professionals towards evidence-based medicine: A systematic scoping review

Nagtegaal

Tummers

Noordegraaf

et al. 2019

JBPA

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Translating medical evidence into practice is difficult. Key challenges in applying evidence-based medicine are information overload and that evidence needs to be used in context by healthcare professionals. Nudging (i.e. softly steering) healthcare professionals towards utilizing evidence-based medicine may be a feasible possibility. This systematic scoping review is the first overview of nudging healthcare professionals in relation to evidence-based medicine. We have investigated a) the distribution of studies on nudging healthcare professionals, b) the nudges tested and behaviors targeted, c) the methodological quality of studies and d) whether the success of nudges is related to context. In terms of distribution, we found a large but scattered field: 100 articles in over 60 different journals, including various types of nudges targeting different behaviors such as hand hygiene or prescribing drugs. Some nudges – especially reminders to deal with information overload – are often applied, while others - such as providing social reference points – are seldom used. The methodological quality is moderate. Success appears to vary in terms of three contextual characteristics: the task, organizational, and occupational contexts. Based on this review, we propose future research directions, particularly related to methods (preregistered research designs to reduce publication bias), nudges (using less-often applied nudges on less studied outcomes), and context (moving beyond one-size-fits-all approaches).

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“…Moreover, the healthcare system could profit from improved efficiency (standardized procedures) which can lower the costs of services, drug prescriptions [67], or laboratory test requests [68,69]. b) In contrast to the above, patients may also be harmed by clinical guidelines.…”

Section: Effects Of Guidelinesmentioning

confidence: 99%

From Clinical Practice Guidelines to Computer-interpretable Guidelines

Latoszek-Berendsen¹,

Tange

Herik³

et al. 2010

Methods Inf Med

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Developing high-quality guidelines requires a skilled team of people and sufficient budget. The guidelines should give personalized advice. Computer-interpretable guidelines (CIGs) that have access to the patient's EPR are able to give personal advice. Because of the costs, sharing of CIGs is a critical requirement for guideline development, dissemination, and implementation. Until now this is hardly possible, because of the many models in use. However, some solutions have been proposed. For instance, a standardized terminology should be imposed so that the terms in guidelines can be matched with terms in an EPR. Also, a dissemination model for easy updating of guidelines should be established. The recommendations should be based on evidence instead of on consensus. To test the quality of the guideline, appraisal instruments should be used to assess the guideline as a whole, as well as checking the quality of the recommendations individually. Only in this way optimal guideline advice can be given on an individual basis at a reasonable cost.

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The efficacy of an automated feedback system for general practitioners

Cited by 12 publications

References 19 publications

The use and effectiveness of electronic clinical decision support tools in the ambulatory/primary care setting: a systematic review of the literature

The use and effectiveness of electronic clinical decision support tools in the ambulatory/primary care setting: a systematic review of the literature

Nudging healthcare professionals towards evidence-based medicine: A systematic scoping review

From Clinical Practice Guidelines to Computer-interpretable Guidelines

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