10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Where Do Models for Change Management, Improvement and Implementation Meet? A Systematic Review of the Applications of Change Management Models in Healthcare

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The increasing prioritisation of healthcare quality across the six domains of efficiency, safety, patient-centredness, effectiveness, timeliness and accessibility has given rise to accelerated change both in the uptake of initiatives and the realisation of their outcomes to meet external targets. Whilst a multitude of change management methodologies exist, their application in complex healthcare contexts remains unclear. Our review sought to establish the methodologies applied, and the nature and effectiveness of their application in the context of healthcare.

          Methods

          A systematic review and narrative synthesis was undertaken. Two reviewers independently screened the titles and abstracts followed by the full-text articles that were potentially relevant against the inclusion criteria. An appraisal of methodological and reporting quality of the included studies was also conducted by two further reviewers.

          Results

          Thirty-eight studies were included that reported the use of 12 change management methodologies in healthcare contexts across 10 countries. The most commonly applied methodologies were Kotter’s Model (19 studies) and Lewin’s Model (11 studies). Change management methodologies were applied in projects at local ward or unit level (14), institutional level (12) and system or multi-system (6) levels. The remainder of the studies provided commentary on the success of change efforts that had not utilised a change methodology with reference to change management approaches.

          Conclusion

          Change management methodologies were often used as guiding principle to underpin a change in complex healthcare contexts. The lack of prescription application of the change management methodologies was identified. Change management methodologies were valued for providing guiding principles for change that are well suited to enable methodologies to be applied in the context of complex and unique healthcare contexts, and to be used in synergy with implementation and improvement methodologies.

          Related collections

          Most cited references81

          • Record: found
          • Abstract: not found
          • Article: not found

          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Interrater reliability: the kappa statistic

            The kappa statistic is frequently used to test interrater reliability. The importance of rater reliability lies in the fact that it represents the extent to which the data collected in the study are correct representations of the variables measured. Measurement of the extent to which data collectors (raters) assign the same score to the same variable is called interrater reliability. While there have been a variety of methods to measure interrater reliability, traditionally it was measured as percent agreement, calculated as the number of agreement scores divided by the total number of scores. In 1960, Jacob Cohen critiqued use of percent agreement due to its inability to account for chance agreement. He introduced the Cohen’s kappa, developed to account for the possibility that raters actually guess on at least some variables due to uncertainty. Like most correlation statistics, the kappa can range from −1 to +1. While the kappa is one of the most commonly used statistics to test interrater reliability, it has limitations. Judgments about what level of kappa should be acceptable for health research are questioned. Cohen’s suggested interpretation may be too lenient for health related studies because it implies that a score as low as 0.41 might be acceptable. Kappa and percent agreement are compared, and levels for both kappa and percent agreement that should be demanded in healthcare studies are suggested.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Individual determinants of research utilization by nurses: a systematic review update

              Background Interventions that have a better than random chance of increasing nurses' use of research are important to the delivery of quality patient care. However, few reports exist of successful research utilization in nursing interventions. Systematic identification and evaluation of individual characteristics associated with and predicting research utilization may inform the development of research utilization interventions. Objective To update the evidence published in a previous systematic review on individual characteristics influencing research utilization by nurses. Methods As part of a larger systematic review on research utilization instruments, 12 online bibliographic databases were searched. Hand searching of specialized journals and an ancestry search was also conducted. Randomized controlled trials, clinical trials, and observational study designs examining the association between individual characteristics and nurses' use of research were eligible for inclusion. Studies were limited to those published in the English, Danish, Swedish, and Norwegian languages. A vote counting approach to data synthesis was taken. Results A total of 42,770 titles were identified, of which 501 were retrieved. Of these 501 articles, 45 satisfied our inclusion criteria. Articles assessed research utilization in general (n = 39) or kinds of research utilization (n = 6) using self-report survey measures. Individual nurse characteristics were classified according to six categories: beliefs and attitudes, involvement in research activities, information seeking, education, professional characteristics, and socio-demographic/socio-economic characteristics. A seventh category, critical thinking, emerged in studies examining kinds of research utilization. Positive relationships, at statistically significant levels, for general research utilization were found in four categories: beliefs and attitudes, information seeking, education, and professional characteristics. The only characteristic assessed in a sufficient number of studies and with consistent findings for the kinds of research utilization was attitude towards research; this characteristic had a positive association with instrumental and overall research utilization. Conclusions This review reinforced conclusions in the previous review with respect to positive relationships between general research utilization and: beliefs and attitudes, and current role. Furthermore, attending conferences/in-services, having a graduate degree in nursing, working in a specialty area, and job satisfaction were also identified as individual characteristics important to research utilization. While these findings hold promise as potential targets of future research utilization interventions, there were methodological problems inherent in many of the studies that necessitate their findings be replicated in further research using more robust study designs and multivariate assessment methods.
                Bookmark

                Author and article information

                Journal
                J Healthc Leadersh
                J Healthc Leadersh
                jhl
                jhl
                Journal of Healthcare Leadership
                Dove
                1179-3201
                12 March 2021
                2021
                : 13
                : 85-108
                Affiliations
                [1 ]School of Population Health, University of New South Wales , Sydney, NSW, Australia
                [2 ]Clinical Excellence Commission, New South Wales Health , Sydney, NSW, Australia
                [3 ]School of Psychology, Deakin University , Melbourne, VIC, Australia
                [4 ]Hunter New England Medical Library , New Lambton, NSW, Australia
                Author notes
                Correspondence: Reema Harrison School of Population Health, University of New South Wales , Room 229, Sydney, NSW2052, AustraliaTel +61 2 9385 3324 Email reema.harrison@unsw.edu.au
                Author information
                http://orcid.org/0000-0002-8609-9827
                http://orcid.org/0000-0001-7370-850X
                http://orcid.org/0000-0001-6739-0558
                http://orcid.org/0000-0003-2762-510X
                http://orcid.org/0000-0001-8963-7347
                Article
                289176
                10.2147/JHL.S289176
                7966357
                33737854
                3456f03a-787f-449c-9d64-77da6f74f830
                © 2021 Harrison et al.

                This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms ( https://www.dovepress.com/terms.php).

                History
                : 28 October 2020
                : 10 January 2021
                Page count
                Figures: 1, Tables: 1, References: 90, Pages: 24
                Funding
                Funded by: this submission;
                No funding linked to this submission.
                Categories
                Review

                healthcare change,change management,transformation,implementation,improvement

                Comments

                Comment on this article