By Irwin Epstein
Scientific Data-Mining (CDM) consists of the conceptualization, extraction, research, and interpretation of obtainable scientific information for perform knowledge-building, scientific decision-making and practitioner mirrored image. based upon the kind of info mined, CDM could be qualitative or quantitative; it really is quite often retrospective, yet can be meaningfully mixed with unique facts assortment. Any learn approach that depends on the contents of case files or details platforms facts unavoidably has barriers, yet with right safeguards those could be minimized. between CDM's strengths in spite of the fact that, are that it's unobtrusive, low-cost, offers little probability to investigate matters, and is ethically suitable with practitioner worth commitments. whilst carried out through practitioners, CDM yields conceptual in addition to data-driven perception into their very own perform- and program-generated questions. This pocket advisor, from a pro practice-based researcher, covers the entire fundamentals of engaging in practitioner-initiated CDM reviews or CDM doctoral dissertations, drawing greatly on released CDM reports and accomplished CDM dissertations from a number of social paintings settings within the usa, Australia, Israel, Hong Kong and the uk. moreover, it describes consulting ideas for researchers drawn to forging collaborative university-agency CDM partnerships, making it a realistic software for beginner practitioner-researchers and veteran academic-researchers alike. As such, this publication is an outstanding consultant either for execs carrying out practice-based examine in addition to for social paintings college looking an evidence-informed method of practice-research integration.
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Extra resources for Clinical Data-Mining: Integrating Practice and Research (Pocket Guides to Social Work Research Methods)
We called it “Social Program Evaluation” (SPE—sorry, I can’t help myself). We wrote the paper in one day, and having just spent four years fi nishing my PhD in sociology of professions and organizations, I thought the paper was so simplistic that I was too embarrassed to go to the conference. Fortunately, Tripodi did attend and was besieged by requests from physicians, pharmacists, and other health professionals for copies of the paper. It offered them a clear conceptual framework for linking program development and the logic of evaluation and taught me that practitioners of all kinds wanted simple, directly applicable material concerning practice research.
Thus, in a recent evaluation of the impact of an EBP-infused research curriculum, MSW students were shown to have improved their “subjective attitude” toward research but not their ability to critically appraise research evidence (Smith, Cohen-Callow, Hall & Hayward, 2007). Clearly, learning to say you like research is not the same as learning to use it. 27 28 Clinical Data-Mining Elsewhere, I have argued that the underlying explanation for this most recent expression of practitioner resistance resides in the fact that EBP places practitioners in roles as critical consumers and implementers of research-based interventions generated by others (Epstein, 2009).
It should be clear, however, that neither Schwartz’s nor the NSA’s research approach is what I am calling clinical data-mining. What sets CDM apart is neither the use nor nonuse of highly sophisticated forms of number-crunching. As the reader will see in Chapters 4, 5, and 6, CDM studies have been successfully and productively implemented with very simple as well as very complex forms of quantitative as well as qualitative data analysis. The complexity of analysis depends upon the study question, the quality and quantity of data available, and the level of sophistication and/or aspiration of the practitioner-researchers.