Literature DB >> 29890857

Using powerful data from the interRAI MDS to support care and a learning health system: A case study from long-term care.

Darly Dash1, George A Heckman1,2, Veronique M Boscart1,3,4, Andrew P Costa1,5, Jaimie Killingbeck4, Josie R d'Avernas1.   

Abstract

interRAI is a non-profit international consortium of clinicians and scientists who have developed the Minimum Data Set (MDS) 2.0 assessment to systematically identify the health status and care plan of residents in Long-Term Care (LTC). However, LTC staff often fail to realize the clinical utility of this information, viewing it as "data collection for funding purposes" and an administrative task adding to the daily workload. This article reports how one research institute and senior living organization work together to use MDS 2.0 and other information to support better care for residents, plan resource allocation and staffing models, and conduct applied research for older Canadians. A multi-level approach is described on how MDS 2.0 provides a robust infrastructure at the individual, team, organizational, and system levels. Long-term care stakeholders can do much more to unleash the full potential of this powerful tool, and other healthcare sectors can take advantage of this approach.

Entities:  

Mesh:

Year:  2018        PMID: 29890857     DOI: 10.1177/0840470417743989

Source DB:  PubMed          Journal:  Healthc Manage Forum        ISSN: 0840-4704


  7 in total

1.  Lessons learned implementing and managing the DIVERT-CARE trial: practice recommendations for a community-based chronic disease self-management model.

Authors:  Darly Dash; Connie Schumacher; Aaron Jones; Andrew P Costa
Journal:  BMC Geriatr       Date:  2021-05-11       Impact factor: 3.921

2.  Examining consensus for a standardised patient assessment in community paramedicine home visits: a RAND/UCLA-modified Delphi Study.

Authors:  Matthew S Leyenaar; Ryan P Strum; Alan M Batt; Samir Sinha; Michael Nolan; Gina Agarwal; Walter Tavares; Andrew P Costa
Journal:  BMJ Open       Date:  2019-10-07       Impact factor: 2.692

3.  The uptake and use of a minimum data set (MDS) for older people living and dying in care homes: a realist review.

Authors:  Massirfufulay Kpehe Musa; Gizdem Akdur; Sarah Brand; Anne Killett; Karen Spilsbury; Guy Peryer; Jennifer Kirsty Burton; Adam Lee Gordon; Barbara Hanratty; Ann-Marie Towers; Lisa Irvine; Sarah Kelly; Liz Jones; Julienne Meyer; Claire Goodman
Journal:  BMC Geriatr       Date:  2022-01-07       Impact factor: 3.921

Review 4.  Developing a minimum data set for older adult care homes in the UK: exploring the concept and defining early core principles.

Authors:  Jennifer Kirsty Burton; Arne Timon Wolters; Ann-Marie Towers; Liz Jones; Julienne Meyer; Adam Lee Gordon; Lisa Irvine; Barbara Hanratty; Karen Spilsbury; Guy Peryer; Stacey Rand; Anne Killett; Gizdem Akdur; Stephen Allan; Priti Biswas; Claire Goodman
Journal:  Lancet Healthy Longev       Date:  2022-03-07

5.  Clinical factors associated with recent medical care visits in nursing homes: a multi-site cross-sectional study.

Authors:  Rebecca H Correia; Fabrice I Mowbray; Darly Dash; Paul R Katz; Andrea Moser; Ryan P Strum; Aaron Jones; Ahmad von Schlegell; Andrew P Costa
Journal:  BMC Geriatr       Date:  2022-04-12       Impact factor: 3.921

6.  Developing an evidence-informed model of long-term life care at home for older adults with medical, functional and/or social care needs in Ontario, Canada: a mixed methods study protocol.

Authors:  Justine L Giosa; Margaret Saari; Paul Holyoke; John P Hirdes; George A Heckman
Journal:  BMJ Open       Date:  2022-08-11       Impact factor: 3.006

Review 7.  Optimizing the InterRAI Assessment Tool in Care Planning Processes for Long-Term Residents: A Scoping Review.

Authors:  Steve Iduye; Tracie Risling; Shelley McKibbon; Damilola Iduye
Journal:  Clin Nurs Res       Date:  2021-05-30       Impact factor: 2.075

  7 in total

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