STARE-HI—Statement on reporting of evaluation studies in Health Informatics

Talmon, Jan L.; Ammenwerth, Elske; Brender, Jytte; Keizer, Nicolette de; Nykänen, Pirkko; Rigby, Michael

doi:10.1016/j.ijmedinf.2008.09.002

Cited by 176 publications

(91 citation statements)

References 36 publications

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“…lis, IN [28]. This research conforms to the Statement on reporting of evaluation studies in Health Informatics (STARE-HI) guidelines [29].…”

Section: Background and Significancementioning

confidence: 92%

Iterative Development and Evaluation of a Pharmacogenomic-Guided Clinical Decision Support System for Warfarin Dosing

Melton¹,

Zillich²,

Saleem³

et al. 2016

Appl Clin Inform

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SummaryObjective: Pharmacogenomic-guided dosing has the potential to improve patient outcomes but its implementation has been met with clinical challenges. Our objective was to develop and evaluate a clinical decision support system (CDSS) for pharmacogenomic-guided warfarin dosing designed for physicians and pharmacists. Methods: Twelve physicians and pharmacists completed 6 prescribing tasks using simulated patient scenarios in two iterations (development and validation phases) of a newly developed pharmacogenomic-driven CDSS prototype. For each scenario, usability was measured via efficiency, recorded as time to task completion, and participants' perceived satisfaction which were compared using Kruskal-Wallis and Mann Whitney U tests, respectively. Debrief interviews were conducted and qualitatively analyzed. Usability findings from the first (i.e. development) iteration were incorporated into the CDSS design for the second (i.e. validation) iteration. Results: During the CDSS validation iteration, participants took more time to complete tasks with a median (IQR) of 183 (124-247) seconds versus 101 (73.5-197) seconds in the development iteration (p=0.01). This increase in time on task was due to the increase in time spent in the CDSS corresponding to several design changes. Efficiency differences that were observed between pharmacists and physicians in the development iteration were eliminated in the validation iteration. The increased use of the CDSS corresponded to a greater acceptance of CDSS recommended doses in the validation iteration (4% in the first iteration vs. 37.5% in the second iteration, p<0.001). Overall satisfaction did not change statistically between the iterations but the qualitative analysis revealed greater trust in the second prototype. Conclusions: A pharmacogenomic-guided CDSS has been developed using warfarin as the test drug. The final CDSS prototype was trusted by prescribers and significantly increased the time using the tool and acceptance of the recommended doses. This study is an important step toward incorporating pharmacogenomics into CDSS design for clinical testing. Research ArticleBL Background And SignificancePersonalized medicine is an emerging field with the fundamental objective to predict a patient's response in order to individualize drug therapy for improved medication effectiveness and safety. Pharmacogenomic-guided drug therapy is at the forefront of personalized medicine with over 150 United States Food and Drug Administration (FDA) approved drug labels incorporating pharmacogenomic information.[1] Nonetheless, the translation of pharmacogenomic testing into routine clinical practice has been slow due to several obstacles towards its implementation [2][3][4]. Currently, the routine use of clinical pharmacogenomics is limited to centers with resources to overcome these obstacles [5][6][7][8][9].A major obstacle in the implementation of clinical pharmacogenomics is the rapid pace that science has identified genetic polymorphisms that can predict drug response. Th...

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“…lis, IN [28]. This research conforms to the Statement on reporting of evaluation studies in Health Informatics (STARE-HI) guidelines [29].…”

Section: Background and Significancementioning

confidence: 92%

Iterative Development and Evaluation of a Pharmacogenomic-Guided Clinical Decision Support System for Warfarin Dosing

Melton¹,

Zillich²,

Saleem³

et al. 2016

Appl Clin Inform

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“…In fact, much of the scientific work published in informatics journals is the work of evaluation. 17 However, HIT evaluation studies must also be done more informally to guide HIT-related efforts within organizations. 16 …”

Section: Evaluation Of Health Information Resourcesmentioning

confidence: 99%

An Approach for Some in Advanced Pharmacy Informatics Education

Flynn

Fox

Clauson

et al. 2017

American Journal of Pharmaceutical Education

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Computerization is transforming health care while the quantity and complexity of biomedical knowledge rapidly grows. Today, all clinicians use health information technology (HIT), but only some pharmacists need to be cross-trained in "all" that advanced informatics entails so they can devise new and better information systems to support the pharmacy practice of the future. We propose a dual approach to informatics education in pharmacy: incorporate fundamental informatics education into pharmacy curricula for all students; and train some students interested in becoming informatics experts to design, develop, implement, and evaluate novel HIT for pharmacy. This commentary focuses specifically on the latter. It discusses the advanced pharmacy informatics training needed by some pharmacists to support innovation of HIT and to enable a shift to a more fully system-supported pharmacy practice.

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“…In 2009, the STARE-HI guidelines (Statement on reporting of evaluation studies in health informatics) were published [31]. These guidelines resulted from a need identified at the Innsbruck meeting, and describe items that should be included in a health IT evaluation paper.…”

Section: Efmi and Imia Moves To Strengthen And Promote Evaluationmentioning

confidence: 99%

Health Informatics 3.0 and other Increasingly Dispersed Technologies Require Even Greater Trust: Promoting Safe Evidence-based Health Informatics

Rigby

Ammenwerth²,

Talmon³

et al. 2011

Yearb Med Inform

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SummaryBackground: Health informatics is generally less committed to a scientific evidence-based approach than any other area of health science, which is an unsound position. Introducing the new Web 3.0 paradigms into health IT applications can unleash a further great potential, able to integrate and distribute data from multiple sources. The counter side is that it makes the user and the patient evermore dependent on the ‚black box' of the system, and the re-use of the data remote from the author and initial context. Thus anticipatory consideration of uses, and proactive analysis of evidence of effects, are imperative, as only when a clinical technology can be proven to be trustworthy and safe should it be implemented widely -as is the case with other health technologies. Objectives: To argue for promoting evidence-based health informatics as systems become more powerful and pro-active yet more dispersed and remote; and evaluation as the means of generating the necessary scientific evidence base. To present ongoing IMIA and EFMI initiatives in this field. Methods: Critical overview of recent developments in health informatics evaluation, alongside the precedents of other health technologies, summarising current initiatives and the new challenges presented by Health Informatics 3.0. Results: Web 3.0 should be taken as an opportunity to move health informatics from being largely unaccountable to one of being an ethical and responsible science-based domain. Recent and planned activities of the EFMI and IMIA working groups have significantly progressed key initiatives. Conclusions: Concurrent with the emergence of Web 3.0 as a means of new-generation diffuse health information systems comes an increasing need for an evidence-based culture in health informatics.

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STARE-HI—Statement on reporting of evaluation studies in Health Informatics

Cited by 176 publications

References 36 publications

Iterative Development and Evaluation of a Pharmacogenomic-Guided Clinical Decision Support System for Warfarin Dosing

Iterative Development and Evaluation of a Pharmacogenomic-Guided Clinical Decision Support System for Warfarin Dosing

An Approach for Some in Advanced Pharmacy Informatics Education

Health Informatics 3.0 and other Increasingly Dispersed Technologies Require Even Greater Trust: Promoting Safe Evidence-based Health Informatics

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