• Dementia Care Mapping (DCM): A Review of the research literature

      Brooker, Dawn J.R. (2005)
      The published literature on dementia care mapping (DCM) in improving quality of life and quality of care through practice development and research dates back to 1993. The purpose of this review of the research literature is to answer some key questions about the nature of the tool and its efficacy, to inform the ongoing revision of the tool, and to set an agenda for future research. Design and Methods: The DCM bibliographic database at the University of Bradford in the United Kingdom contains all publications known on DCM (http://www.bradford.ac.uk/acad/health/dcm). This formed the basis of the review. Texts that specifically examined the efficacy of DCM or in which DCM was used as a main measure in the evaluation or research were reviewed. Results: Thirty-four papers were categorized into five main types: (a) cross-sectional surveys, (b) evaluations of interventions, (c) practice development evaluations, (d) multimethod evaluations, and (e) papers investigating the psychometric properties of DCM.
    • A study proposing a data model for a dementia care mapping (DCM) data warehouse for potential secondary uses of dementia care data

      Khalid, Shehla; Small, Neil A.; Neagu, Daniel; Surr, C. (2019-01-01)
      Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. There is growing emphasis on sharing and reusing dementia care-related datasets to improve the quality of dementia care. Consequently, there is a need to develop data management solutions for collecting, integrating and storing these data in formats that enhance opportunities for reuse. Dementia Care Mapping (DCM) is an observational tool that is in widespread use internationally. It produces rich, evidence-based data on dementia care quality. Currently, that data is primarily used locally, within dementia care services, to assess and improve quality of care. Information-rich DCM data provides opportunities for secondary use including research into improving the quality of dementia care. But an effective data management solution is required to facilitate this. A rationale for the warehousing of DCM data as a technical data management solution is suggested. The authors also propose a data model for a DCM data warehouse and present user-identified challenges for reusing DCM data within a warehouse.