540 research outputs found

    The GUIDES checklist: development of a tool to improve the successful use of guideline-based computerised clinical decision support

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    Background: Computerised decision support (CDS) based on trustworthy clinical guidelines is a key component of a learning healthcare system. Research shows that the effectiveness of CDS is mixed. Multifaceted context, system, recommendation and implementation factors may potentially affect the success of CDS interventions. This paper describes the development of a checklist that is intended to support professionals to implement CDS successfully. Methods: We developed the checklist through an iterative process that involved a systematic review of evidence and frameworks, a synthesis of the success factors identified in the review, feedback from an international expert panel that evaluated the checklist in relation to a list of desirable framework attributes, consultations with patients and healthcare consumers and pilot testing of the checklist. Results: We screened 5347 papers and selected 71 papers with relevant information on success factors for guideline-based CDS. From the selected papers, we developed a 16-factor checklist that is divided in four domains, i.e. the CDS context, content, system and implementation domains. The panel of experts evaluated the checklist positively as an instrument that could support people implementing guideline-based CDS across a wide range of settings globally. Patients and healthcare consumers identified guideline-based CDS as an important quality improvement intervention and perceived the GUIDES checklist as a suitable and useful strategy. Conclusions: The GUIDES checklist can support professionals in considering the factors that affect the success of CDS interventions. It may facilitate a deeper and more accurate understanding of the factors shaping CDS effectiveness. Relying on a structured approach may prevent that important factors are missed

    STAT-HI: A Socio-Technical Assessment Tool for Health Informatics Implementations

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    This paper proposes a socio-technical assessment tool (STAT-HI) for health informatics implementations. We explore why even projects allegedly using sound methodologies repeatedly fail to give adequate attention to socio-technical issues, and we present an initial draft of a structured assessment tool for health informatics implementation that encapsulates socio-technical good practice. Further work is proposed to enrich and validate the proposed instrument. This proposal was presented for discussion at a meeting of the UK Faculty of Health Informatics in December 2009

    What’s Past Is Prologue: A Scoping Review of Recent Public Health and Global Health Informatics Literature

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    Objective: To categorize and describe the public health informatics (PHI) and global health informatics (GHI) literature between 2012 and 2014. Methods: We conducted a semi-systematic review of articles published between January 2012 and September 2014 where information and communications technologies (ICT) was a primary subject of the study or a main component of the study methodology. Additional inclusion and exclusion criteria were used to filter PHI and GHI articles from the larger biomedical informatics domain. Articles were identified using MEDLINE as well as personal bibliographies from members of the American Medical Informatics Association PHI and GHI working groups. Results: A total of 85 PHI articles and 282 GHI articles were identified. While systems in PHI continue to support surveillance activities, we identified a shift towards support for prevention, environmental health, and public health care services. Furthermore, articles from the U.S. reveal a shift towards PHI applications at state and local levels. GHI articles focused on telemedicine, mHealth and eHealth applications. The development of adequate infrastructure to support ICT remains a challenge, although we observed a small but growing set of articles that measure the impact of ICT on clinical outcomes. Discussion: There is evidence of growth with respect to both implementation of information systems within the public health enterprise as well as a widening of scope within each informatics discipline. Yet the articles also illuminate the need for more primary research studies on what works and what does not as both searches yielded small numbers of primary, empirical articles. Conclusion: While the body of knowledge around PHI and GHI continues to mature, additional studies of higher quality are needed to generate the robust evidence base needed to support continued investment in eHealth by governmental health agencies

    Theoretical basis of health IT evaluation

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    Measurement Error in Performance Studies of Health Information Technology: Lessons from the Management Literature

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    Just as researchers and clinicians struggle to pin down the benefits attendant to health information technology (IT), management scholars have long labored to identify the performance effects arising from new technologies and from other organizational innovations, namely the reorganization of work and the devolution of decision-making authority. This paper applies lessons from that literature to theorize the likely sources of measurement error that yield the weak statistical relationship between measures of health IT and various performance outcomes. In so doing, it complements the evaluation literature’s more conceptual examination of health IT’s limited performance impact. The paper focuses on seven issues, in particular, that likely bias downward the estimated performance effects of health IT. They are 1.) negative self-selection, 2.) omitted or unobserved variables, 3.) mis-measured contextual variables, 4.) mismeasured health IT variables, 5.) lack of attention to the specific stage of the adoption-to-use continuum being examined, 6.) too short of a time horizon, and 7.) inappropriate units-of-analysis. The authors offer ways to counter these challenges. Looking forward more broadly, they suggest that researchers take an organizationally-grounded approach that privileges internal validity over generalizability. This focus on statistical and empirical issues in health IT-performance studies should be complemented by a focus on theoretical issues, in particular, the ways that health IT creates value and apportions it to various stakeholders

    Standards as applied in reality: a case study on the translation of standards in eHealth evaluation practice

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    BACKGROUND: Application of standards is a way to increase quality in an evaluation study. However, standards are used insufficiently in eHealth evaluation, affecting the generalization of the knowledge generated. This study aimed to explore how standards are used in a practical setting of an eHealth evaluation, and to identify the factors that can hinder their use. METHODS: The data were collected in a multi-national and interdisciplinary eHealth evaluation study targeted at the elderly people suffering from mild cognitive impairment and mild dementia. The study was carried out in four countries and funded by the European Union. The collected data included meeting minutes (n = 8) and e-mail correspondence (n = 261) between partners. The chronological sequence of events related to the use of standards was established. Subsequently, the hindering factors related to the use of standards were identified from the sequence. RESULTS: The use of four standards was described, reflecting a variety of related processes or barriers that emerge during eHealth evaluation. The processes differed based on the type of the standard. Specifically, evaluation frameworks were found to be conceptual standards and they were easy to agree upon, while standardized metrics were more tangible and their use triggered negotiations. Further, the following factors hindered the use of standards in eHealth evaluations: (1) inadequacy of a standard to address a target population or a disease, (2) insufficient resources to use a standard, (3) lack of experience in using a standard, and (4) lack of validation of a standard in a particular location. CONCLUSIONS: Standardization initiatives in eHealth evaluation provide a blueprint for evaluation, but their practical application is problematic. The practical circumstances of an evaluation study can cause deviations in the standards, thus producing heterogeneity in the evaluation methodologies

    Lack of Diversity in Personal Health Record Evaluations with Older Adult Participants: A Systematic Review of Literature

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    Background: Older adults are not adopting personal health records (PHRs) at the same rates as other adult populations. Disparities in adoption rates are also reported in older adult subgroups. The variability in adoption may be because PHRs are not designed to meet older adult users.Objective: We analyzed PHR evaluation studies to examine the characteristics and perspectives of older adult study participants to identify their self-reported needs.Method: We searched Medline, CINAHL, PsycINFO, and Embase for PHR evaluation studies that involved older adult participants.Results: 1017 abstracts were identified, and 179 publications went through full text review. 10 publications met inclusion criteria. These publications described studies conducted in 3 countries, and evaluated 7 PHRs. Homogeneity was found in the study populations and participant opinions of the systems.Discussion: Many PHR evaluations do not include diverse older adult participants. This may lead to consistency in outcomes, but it also may create gaps in identifying user needs. Additional studies, specifically targeting diverse older adult participants, are needed to gain a more comprehensive understanding of the opinions of older adults on PHRs and how these systems could benefit older adult healthcare consumers.Conclusion: The body of research shows that older adults are highly satisfied using PHRs. These outcomes may be generalizable because most PHR evaluation studies do not include diverse older adult participants. This lack of participant diversity may be contributing to the disparities observed in PHR adoption rates
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