School of Nursing and Midwifery, East Africa Abstract The clinical decision support system is utilized to translate knowledge into evidence-based practice in clinical settings. Many studies have been conducted to understand users' adoption of the clinical decision support system. A critical review was conducted to understand the theoretical or conceptual frameworks used to inform the studies on the adoption of the clinical decision support system. The review identified 15 theoretical and conceptual frameworks using multiple hybrids of theories and concepts.
Disclaimer Factors that promote or inhibit the implementation of e-health systems: Correspondence to Frances S Mair e-mail: Bulletin of the World Health Organization ; Enthusiasm for technological innovation around e-health among policy-makers and health officials has, however, not always been matched by uptake and utilization in practice.
Sometimes these studies describe important successes, but more often they are accounts of complex processes with ambiguous outcomes. Although the reviews have furthered knowledge by identifying factors thought to influence implementation processes and their outcomes, the underlying mechanisms at work have not been well characterized or explained.
The literature is fragmented across multiple subspecialty areas, so those charged with designing and implementing e-health systems may find it difficult to locate an appropriate body of evidence and to determine the relevance of that evidence to their specific circumstances.
In this meta-review we have sought to address these problems in two ways. First, we have performed a systematic review of reviews of e-health implementation studies, focusing on implementation processes rather than outcomes, to critically appraise such reviews, evaluate their methods, synthesize their results and highlight their key messages.
Our meta-review has enabled us to explore and evaluate a large and fragmented body of research in a coherent and economical way. Second, we have interpreted our results in the light of an explanatory framework — Normalization Process Theory NPT 56 — that specifies mechanisms of importance in implementation processes.
This approach has facilitated the explanation of those factors shown to influence the implementation of e-health systems in practice and allowed us to identify important gaps in the literature and to make rational recommendations for further primary research. The objective of this review was to synthesize and summarize the findings of identified reviews and inform current and future e-health implementation programmes.
The review set out to answer two key questions: We used a previously developed method of categorization to classify e-health interventions into four domains: Qualitative meta-syntheses or meta-ethnographies: Exclusion Secondary analyses including qualitative meta-syntheses or meta-ethnographies of existing data sets for the purpose of presenting cumulative outcomes from personal research programmes.
Secondary analyses including qualitative meta-syntheses or meta-ethnographies of existing data sets for the purpose of presenting cumulative outcomes from personal research programmes. Discussions of literature included in contributions to theory building or critique.
Summaries of the literature for the purpose of information or commentary. Editorial discussions that argued the case for a field of research or a course of action.
Papers whose abstract identified them as reviews but that lacked supporting evidence in the main text e. Finding relevant studies We searched the following electronic bibliographic databases: Search terms used for systematic review of reviews on e-health implementation Thesaurus terms referring to e-health interventions were:Clinical decision support (CDS) is the process of providing persons involved in patient care with intelligently filtered and organized information, at appropriate times, to enable decisions that optimize health care and health outcomes.
a The guidance and prompts that CDS can provide constitute one of the primary mechanisms by which electronic health records (EHR) can transform the quality and efficiency of health care delivery. Conceptual/Theoretical Framework The researcher has chosen Rozzano C.
Locsin’s model of “technological competency as caring in nursing” () to guide this study because this model. a critical review of the theoretical frameworks and the conceptual factors in the adoption of clinical decision support system (cdss) Introduction The clinical decision support system (CDSS) is utilized to translate evidence- based knowledge into evidence-based practice in clinical settings.
Two of the reviews focused on developing a theoretical framework to support rational vaccination decision-making based on the available scientific literature,, while the reviews of Bryson et al.
and Burchett et al. reviewed the literature on national decision-making regarding the adoption of new vaccines. The former included the.
Many theoretical frameworks seek to describe the dynamic process of the implementation of innovations. Little is known, however, about factors related to decisions to adopt innovations and how the likelihood of adoption of innovations can be increased.
HNE Handover for Nurses and Midwives Vol. 8, No. 2 () Special Issue A CRITICAL REVIEW OF THE THEORETICAL FRAMEWORKS AND THE CONCEPTUAL FACTORS IN THE ADOPTION OF CLINICAL DECISION SUPPORT.