Literature DB >> 21450243

The use of data for process and quality improvement in long term care and home care: a systematic review of the literature.

Anne E Sales1, Anne-Marie Bostrom, Tracey Bucknall, Kellie Draper, Kimberly Fraser, Corinne Schalm, Sharon Warren.   

Abstract

BACKGROUND: Standardized resident or client assessments, including the Resident Assessment Instrument (RAI), have been available in long term care and home care settings (continuing care sector) in many jurisdictions for a number of years. Although using these data can make quality improvement activities more efficient and less costly, there has not been a review of the literature reporting quality improvement interventions using standardized data.
OBJECTIVES: To address 2 questions: (1) How have RAI and other standardized data been used in process or quality improvement activities in the continuing care sector? and (2) Has the use of RAI and similar data resulted in improvements to resident or other outcomes? DATA SOURCES: Searches using a combination of keyword and controlled vocabulary term searches were conducted in MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), EMBASE, the Cochrane Library, and PsychINFO. ELIGIBILITY CRITERIA, PARTICIPANTS, AND
INTERVENTIONS: English language publications from database inception to October 2008 were included. Eligibility criteria included the following: (1) set in continuing care (long-term care facility or home care), (2) involved some form of intervention designed to improve quality or process of care, and (3) used standardized data in the quality or process improvement intervention. STUDY APPRAISAL AND SYNTHESIS
METHODS: After reviewing the articles, we grouped the studies according to the type of intervention used to initiate process improvement. Four different intervention types were identified. We organized the results and discussion by these 4 intervention types.
RESULTS: Key word searches identified 713 articles, of which we excluded 639 on abstract review because they did not meet inclusion criteria. A further 50 articles were excluded on full-text review, leaving a total of 24 articles. Of the 24 studies, 10 used a defined process improvement model, 8 used a combination of interventions (multimodal), 5 implemented new guidelines or protocols, and 1 used an education intervention. CONCLUSIONS/IMPLICATIONS: The most frequently cited issues contributing to unsuccessful quality improvement interventions were lack of staff, high staff turnover, and limited time available to train staff in ways that would improve client care. Innovative strategies and supporting research are required to determine how to intervene successfully to improve quality in these settings characterized by low staffing levels and predominantly nonprofessional staff. Research on how to effectively enable practitioners to use data to improve quality of care, and ultimately quality of life, needs to be a priority.
Copyright © 2012 American Medical Directors Association, Inc. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21450243     DOI: 10.1016/j.jamda.2011.01.004

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  8 in total

1.  Improving quality of care in nursing homes: what works?

Authors:  Robin L Stadnyk; Heidi Lauckner; Barry Clarke
Journal:  CMAJ       Date:  2011-06-27       Impact factor: 8.262

2.  Depression recognition and capacity for self-report among ethnically diverse nursing homes residents: Evidence of disparities in screening.

Authors:  Audrey Chun; Joann P Reinhardt; Mildred Ramirez; Julie M Ellis; Stephanie Silver; Orah Burack; Joseph P Eimicke; Verena Cimarolli; Jeanne A Teresi
Journal:  J Clin Nurs       Date:  2017-09-26       Impact factor: 3.036

3.  Understanding feedback report uptake: process evaluation findings from a 13-month feedback intervention in long-term care settings.

Authors:  Anne E Sales; Kimberly Fraser; Melba Andrea B Baylon; Hannah M O'Rourke; Gloria Gao; Tracey Bucknall; Suzanne Maisey
Journal:  Implement Sci       Date:  2015-02-12       Impact factor: 7.327

4.  Data for improvement and clinical excellence: report of an interrupted time series trial of feedback in long-term care.

Authors:  Anne E Sales; Corinne Schalm; Melba Andrea B Baylon; Kimberly D Fraser
Journal:  Implement Sci       Date:  2014-11-11       Impact factor: 7.327

5.  SCOPEOUT: sustainability and spread of quality improvement activities in long-term care- a mixed methods approach.

Authors:  Lisa A Cranley; Matthias Hoben; Jasper Yeung; Carole A Estabrooks; Peter G Norton; Adrian Wagg
Journal:  BMC Health Serv Res       Date:  2018-03-12       Impact factor: 2.655

6.  Importance of Team Functioning as a Target of Quality Improvement Initiatives in Nursing Homes: A Qualitative Process Evaluation.

Authors:  Laura Desveaux; Roxanne Halko; Husayn Marani; Sid Feldman; Noah M Ivers
Journal:  J Contin Educ Health Prof       Date:  2019       Impact factor: 1.355

Review 7.  Achieving change in primary care--causes of the evidence to practice gap: systematic reviews of reviews.

Authors:  Rosa Lau; Fiona Stevenson; Bie Nio Ong; Krysia Dziedzic; Shaun Treweek; Sandra Eldridge; Hazel Everitt; Anne Kennedy; Nadeem Qureshi; Anne Rogers; Richard Peacock; Elizabeth Murray
Journal:  Implement Sci       Date:  2016-03-22       Impact factor: 7.327

8.  Adaptation of the Grasha Riechman Student Learning Style Survey and Teaching Style Inventory to assess individual teaching and learning styles in a quality improvement collaborative.

Authors:  James H Ford; James M Robinson; Meg E Wise
Journal:  BMC Med Educ       Date:  2016-09-29       Impact factor: 2.463

  8 in total

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