Presentation M P27

M P27 (Poster Presentation):
A Scoping Review of Clinical Decision Support Tools for Managing Patients with Painful Musculoskeletal Disorders

Presented by: Douglas Paul Gross

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Authors

Gross DP1, Armijo-Olivo S1, Steenstra IA2, Shaw WS3, Williams-Whitt K4, Shaw N5, Hartvigsen J6, Ha C1, Qin Z1

  1. University of Alberta, Edmonton, Canada
  2. Institute for Work & Health, Toronto, Canada
  3. Liberty Mutual Research Institute for Safety
  4. University of Lethbridge, Lethbridge, Canada
  5. University of Southern Denmark, Odense, Denmark

Abstract

Background

Much ambiguity and disagreement still exists about optimal management of patients with non-specific musculoskeletal pain, a leading cause of work disability. Clinical Decision Support (CDS) tools are devices or instruments that present knowledge to clinicians to augment and potentially improve decision-making. They are often designed as point-of-care resources that support provider decisions regarding optimal treatment. CDS tools may be particularly useful for handling the diversity of considerations and concerns that affect decision-making for workers with painful conditions, especially given the limited time and resources clinicians have for determining the lifestyle, psychological, and workplace factors that potentially influence work disability. We are conducting a scoping review of CDS tools designed to help select interventions for workers with non-specific musculoskeletal pain.

Methods

We used Arksey and O’Malley's scoping review framework which progresses through five stages: (1) identifying the research question; (2) identifying relevant studies; (3) selecting studies for analysis; (4) charting the data; and (5) collating, summarizing and reporting results. We are considering both computer-based and other available tools such as algorithms, care pathways, rules and models. Since this research crosses multiple disciplines including health care, computing science and business, a variety of databases were searched including: Ovid MEDLINE, Ovid EMBASE, Scopus, CINAHL, Business Source Complete, ABI/INFORM Global, Web of Science, ACM Digital Library, IEEE Xplore, ACM Computing Reviews, and Google Scholar.

Results

Our literature search resulted in 4,088 manuscripts. Titles and abstracts were screened for relevance. The reliability of the screening process was high with an average percentage of agreement of 92.3%. Of the 4,088 published articles, 187 were considered to be potentially relevant and a second screening of full manuscripts will be conducted.

Conclusions

The tremendous potential for CDS tools, especially those employing rapidly advancing computer technologies, has sparked great interest among health care providers, case management organizations and funders of care. Our literature review has identified some prototype tools that will be highlighted.

Schedule Details

Monday September 29
12:45 - 13:45 Poster Viewing
Session: Disability measurement