Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.

<h4>Background</h4>Implementing evidence into clinical practice is a key focus of healthcare improvements to reduce unwarranted variation. Dissemination of evidence-based recommendations and knowledge brokering have emerged as potential strategies to achieve evidence implementation by in...

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Autores principales: Mitchell N Sarkies, Lauren M Robins, Megan Jepson, Cylie M Williams, Nicholas F Taylor, Lisa O'Brien, Jenny Martin, Anne Bardoel, Meg E Morris, Leeanne M Carey, Anne E Holland, Katrina M Long, Terry P Haines
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/9ff82b798efe4fbe9816d6d8675ccc18
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id oai:doaj.org-article:9ff82b798efe4fbe9816d6d8675ccc18
record_format dspace
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
spellingShingle Medicine
R
Mitchell N Sarkies
Lauren M Robins
Megan Jepson
Cylie M Williams
Nicholas F Taylor
Lisa O'Brien
Jenny Martin
Anne Bardoel
Meg E Morris
Leeanne M Carey
Anne E Holland
Katrina M Long
Terry P Haines
Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.
description <h4>Background</h4>Implementing evidence into clinical practice is a key focus of healthcare improvements to reduce unwarranted variation. Dissemination of evidence-based recommendations and knowledge brokering have emerged as potential strategies to achieve evidence implementation by influencing resource allocation decisions. The aim of this study was to determine the effectiveness of these two research implementation strategies to facilitate evidence-informed healthcare management decisions for the provision of inpatient weekend allied health services.<h4>Methods and findings</h4>This multicentre, single-blinded (data collection and analysis), three-group parallel cluster randomised controlled trial with concealed allocation was conducted in Australian and New Zealand hospitals between February 2018 and January 2020. Clustering and randomisation took place at the organisation level where weekend allied health staffing decisions were made (e.g., network of hospitals or single hospital). Hospital wards were nested within these decision-making structures. Three conditions were compared over a 12-month period: (1) usual practice waitlist control; (2) dissemination of written evidence-based practice recommendations; and (3) access to a webinar-based knowledge broker in addition to the recommendations. The primary outcome was the alignment of weekend allied health provision with practice recommendations at the cluster and ward levels, addressing the adoption, penetration, and fidelity to the recommendations. The secondary outcome was mean hospital length of stay at the ward level. Outcomes were collected at baseline and 12 months later. A total of 45 clusters (n = 833 wards) were randomised to either control (n = 15), recommendation (n = 16), or knowledge broker (n = 14) conditions. Four (9%) did not provide follow-up data, and no adverse events were recorded. No significant effect was found with either implementation strategy for the primary outcome at the cluster level (recommendation versus control β 18.11 [95% CI -8,721.81 to 8,758.02] p = 0.997; knowledge broker versus control β 1.24 [95% CI -6,992.60 to 6,995.07] p = 1.000; recommendation versus knowledge broker β -9.12 [95% CI -3,878.39 to 3,860.16] p = 0.996) or ward level (recommendation versus control β 0.01 [95% CI 0.74 to 0.75] p = 0.983; knowledge broker versus control β -0.12 [95% CI -0.54 to 0.30] p = 0.581; recommendation versus knowledge broker β -0.19 [-1.04 to 0.65] p = 0.651). There was no significant effect between strategies for the secondary outcome at ward level (recommendation versus control β 2.19 [95% CI -1.36 to 5.74] p = 0.219; knowledge broker versus control β -0.55 [95% CI -1.16 to 0.06] p = 0.075; recommendation versus knowledge broker β -3.75 [95% CI -8.33 to 0.82] p = 0.102). None of the control or knowledge broker clusters transitioned to partial or full alignment with the recommendations. Three (20%) of the clusters who only received the written recommendations transitioned from nonalignment to partial alignment. Limitations include underpowering at the cluster level sample due to the grouping of multiple geographically distinct hospitals to avoid contamination.<h4>Conclusions</h4>Owing to a lack of power at the cluster level, this trial was unable to identify a difference between the knowledge broker strategy and dissemination of recommendations compared with usual practice for the promotion of evidence-informed resource allocation to inpatient weekend allied health services. Future research is needed to determine the interactions between different implementation strategies and healthcare contexts when translating evidence into healthcare practice.<h4>Trial registration</h4>Australian New Zealand Clinical Trials Registry ACTRN12618000029291.
format article
author Mitchell N Sarkies
Lauren M Robins
Megan Jepson
Cylie M Williams
Nicholas F Taylor
Lisa O'Brien
Jenny Martin
Anne Bardoel
Meg E Morris
Leeanne M Carey
Anne E Holland
Katrina M Long
Terry P Haines
author_facet Mitchell N Sarkies
Lauren M Robins
Megan Jepson
Cylie M Williams
Nicholas F Taylor
Lisa O'Brien
Jenny Martin
Anne Bardoel
Meg E Morris
Leeanne M Carey
Anne E Holland
Katrina M Long
Terry P Haines
author_sort Mitchell N Sarkies
title Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.
title_short Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.
title_full Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.
title_fullStr Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.
title_full_unstemmed Effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.
title_sort effectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: a cluster randomised controlled implementation trial.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/9ff82b798efe4fbe9816d6d8675ccc18
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spelling oai:doaj.org-article:9ff82b798efe4fbe9816d6d8675ccc182021-12-02T19:55:37ZEffectiveness of knowledge brokering and recommendation dissemination for influencing healthcare resource allocation decisions: A cluster randomised controlled implementation trial.1549-12771549-167610.1371/journal.pmed.1003833https://doaj.org/article/9ff82b798efe4fbe9816d6d8675ccc182021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pmed.1003833https://doaj.org/toc/1549-1277https://doaj.org/toc/1549-1676<h4>Background</h4>Implementing evidence into clinical practice is a key focus of healthcare improvements to reduce unwarranted variation. Dissemination of evidence-based recommendations and knowledge brokering have emerged as potential strategies to achieve evidence implementation by influencing resource allocation decisions. The aim of this study was to determine the effectiveness of these two research implementation strategies to facilitate evidence-informed healthcare management decisions for the provision of inpatient weekend allied health services.<h4>Methods and findings</h4>This multicentre, single-blinded (data collection and analysis), three-group parallel cluster randomised controlled trial with concealed allocation was conducted in Australian and New Zealand hospitals between February 2018 and January 2020. Clustering and randomisation took place at the organisation level where weekend allied health staffing decisions were made (e.g., network of hospitals or single hospital). Hospital wards were nested within these decision-making structures. Three conditions were compared over a 12-month period: (1) usual practice waitlist control; (2) dissemination of written evidence-based practice recommendations; and (3) access to a webinar-based knowledge broker in addition to the recommendations. The primary outcome was the alignment of weekend allied health provision with practice recommendations at the cluster and ward levels, addressing the adoption, penetration, and fidelity to the recommendations. The secondary outcome was mean hospital length of stay at the ward level. Outcomes were collected at baseline and 12 months later. A total of 45 clusters (n = 833 wards) were randomised to either control (n = 15), recommendation (n = 16), or knowledge broker (n = 14) conditions. Four (9%) did not provide follow-up data, and no adverse events were recorded. No significant effect was found with either implementation strategy for the primary outcome at the cluster level (recommendation versus control β 18.11 [95% CI -8,721.81 to 8,758.02] p = 0.997; knowledge broker versus control β 1.24 [95% CI -6,992.60 to 6,995.07] p = 1.000; recommendation versus knowledge broker β -9.12 [95% CI -3,878.39 to 3,860.16] p = 0.996) or ward level (recommendation versus control β 0.01 [95% CI 0.74 to 0.75] p = 0.983; knowledge broker versus control β -0.12 [95% CI -0.54 to 0.30] p = 0.581; recommendation versus knowledge broker β -0.19 [-1.04 to 0.65] p = 0.651). There was no significant effect between strategies for the secondary outcome at ward level (recommendation versus control β 2.19 [95% CI -1.36 to 5.74] p = 0.219; knowledge broker versus control β -0.55 [95% CI -1.16 to 0.06] p = 0.075; recommendation versus knowledge broker β -3.75 [95% CI -8.33 to 0.82] p = 0.102). None of the control or knowledge broker clusters transitioned to partial or full alignment with the recommendations. Three (20%) of the clusters who only received the written recommendations transitioned from nonalignment to partial alignment. Limitations include underpowering at the cluster level sample due to the grouping of multiple geographically distinct hospitals to avoid contamination.<h4>Conclusions</h4>Owing to a lack of power at the cluster level, this trial was unable to identify a difference between the knowledge broker strategy and dissemination of recommendations compared with usual practice for the promotion of evidence-informed resource allocation to inpatient weekend allied health services. Future research is needed to determine the interactions between different implementation strategies and healthcare contexts when translating evidence into healthcare practice.<h4>Trial registration</h4>Australian New Zealand Clinical Trials Registry ACTRN12618000029291.Mitchell N SarkiesLauren M RobinsMegan JepsonCylie M WilliamsNicholas F TaylorLisa O'BrienJenny MartinAnne BardoelMeg E MorrisLeeanne M CareyAnne E HollandKatrina M LongTerry P HainesPublic Library of Science (PLoS)articleMedicineRENPLoS Medicine, Vol 18, Iss 10, p e1003833 (2021)