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Conducting Cluster Randomized Controlled Trials in Hospitals: Barriers and Enablers Assessment and Strategies to Facilitate DeliveryWeir, Arielle 27 November 2020 (has links)
Background: Cluster randomized control trials (cRCTs) are useful for asking about system-level interventions compared to other types of clinical research design, however they present unique challenges with conduct and delivery. Numerous cRCTs in hospitals have encountered challenges and time delays in enrolling hospitals and launching the trials which contributes to research waste. While each cRCT has unique barriers and enablers to their conduct, it is important to understand and explore these factors at the general level of the cRCT itself. Previous literature has documented factors associated with successful cRCTs, however, these studies focused primarily on the statistical aspect, while neglecting to evaluate the delivery of the trial.
Objectives: The goal of this dissertation was to explore barriers and enablers to conducting cRCTs in hospitals, and to identify potential strategies that facilitate their delivery. This research was conducted to identify evidence and generate guidance for researchers aiming to conduct these trials. Specifically, the objectives were: 1) To explore the current knowledge and evidence surrounding the implementation of cRCTs in hospitals; 2) To explore from the perspective of the coordinating site, what influenced the delivery and hospital engagement of an ongoing cRCT, and what challenges were encountered; 3) To identify strategies to facilitate delivery of cRCTs in hospitals; 4) To systematically review reported recruitment strategies of healthcare facilities in cRCTs.
Methods: The dissertation employed multiple research methods. To address the first objective, a scoping review was performed of current literature related to hospitals in cRCTs. The second objective was addressed with a qualitative case study. Semi-structured interviews were carried out with six key members of the team to understand their perceptions of the delivery of the trial. For the third objective, a tool matching two implementation concepts (the Consolidated Framework for Implementation Research (CFIR)- Expert Recommendations for Implementing Change (ERIC) matching tool) was used to identify strategies targeted to address barriers and enablers to cRCT conduct identified in the first two studies. Lastly, a systematic review was performed to address the fourth objective, to identify reported strategies used for hospital engagement in cRCTs. The thesis was guided and analyzed using an over-arching implementation framework, CFIR, and an implementation strategies list, the ERIC compilation. This was done to allow comparability and synthesis of results between methodologies from the dissertation, and between the results from the studies and previous literature. Results: Several key CFIR domains were identified in the literature in the scoping review that were determined to being influential for conducting the cRCTs in hospitals: the adaptability to tailor the trial to each site; the engagement of opinion leaders, champions and formally appointed implementation leaders in the cRCT process as facilitators to conducting the trial; the lack of a site perceiving a relative priority for the trial or tension for change for the clinical field presenting barriers to conducting the cRCT; and limited available resources can present barriers to conducting the cRCT. The qualitative case study identified similar CFIR domains and constructs as potentially influential for cRCT conduct, including the emphasis on adaptability of trial, the importance of tension for change in the sites for accepting inclusion in the trial, the availability of resources, and the engagement of leaders. The CFIR-ERIC matching study identified strategies that may be used to overcome barriers and target enablers for cRCT delivery from CFIR domains and constructs identified in the first two studies. A list of strategies was generated, ranked by the number of many determinants for which the strategy was listed as a Level 1 strategy, then by how many determinants for which the strategy was listed as a Level 2 strategy. The top ERIC strategies that were endorsed as a Level 1 strategy for any or multiple CFIR domains were: 1) Identify and prepare champions, 2) Conduct local needs assessment, 3) Conduct educational meetings, 4) Inform local opinion leaders, 5) Build a coalition, 6) Promote adaptability, 7) Develop a formal implementation blueprint, 8) Involve patients/consumers and family members, 9) Obtain and use patients/consumers and family feedback, 10) Develop educational materials, 11) Promote network weaving, 12) Distribute educational materials, 13) Access new funding, and 14) Develop academic partnerships. The systematic review identified literature reporting on the recruitment of healthcare facility sites into cRCTs. Numerous strategies for cRCT site recruitment were identified, and these were coded to the ERIC compilation. Strategies that were commonly cited were: involve executive boards, promote network weaving, conduct educational meetings, inform local opinion leaders, and centralize technical assistance.
Conclusions: The results from the dissertation can contribute to the knowledge for facilitating cRCT delivery in hospitals while recognizing the critical limitations in the studies. Key concepts and strategies to facilitate the conduct and delivery of cRCTs in hospitals were identified. Future research should aim to empirically evaluate the identified strategies. Researchers should aim to address the reporting gap for cRCT delivery identified by this dissertation.
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Comparing Bayesian and Classical Methods in the Analysis of a Cluster Randomized Trial (the Community Hypertension Assessment Trial)Ma, Jinhui 12 1900 (has links)
Cluster randomized controlled trials are increasingly used to assess the
effectiveness of life-style interventions in improvement of health services or prevention
of disease. However, statistical methods in the analysis of cluster randomized
controlled trials are not well established especially for analyzing binary outcomes.
This project is motivated by the Community Hypertension Assessment Trial
(CHAT) to assess the effectiveness of a 12-month community-based blood pressure
management program in improving the management and monitoring of high blood
pressure (BP) among older people. The study is a paired cluster randomized controlled
trial, where the family physicians' practices are the clusters randomly allocated to
CHAT intervention or usual practice, and a random sample of 55 patients 65 years and
older were selected from the 14 practices in each study arm for health record review.
The primary outcome was controlled BP over 12 months defined as systolic BP c:; 140
and diastolic BP c:; 90 for patients without diabetes or target organ damage or systolic
BP c:; 130 and diastolic BP c:; 80 for patients with diabetes or target organ damage.
Secondary outcomes include frequency of BP monitoring and average BP over a 12
month period.
The clinical objective of this project is to evaluate the effectiveness of the
CHAT intervention. The statistical objective is to compare Bayesian and classical
methods of analyzing cluster-randomized trials using CHAT study as an example. We
compared the results of different cluster-level analysis methods: i) un-weighted regression, ii) weighted regression, iii) random-effects meta-analytic approach, and
different individual-level analyses: i) standard logistic regression, ii) robust standard
errors approach, iii) generalized estimating equations, iv) random-effect logistic
regression, v) Bayesian random-effect regression.
We find that there is no sufficient evidence in support of the effectiveness of the
CHAT intervention on all outcomes. For BP control, odds ratio (95% confidence
interval) is 1.14 (0.72, 1.80) from generalized estimating equations. This result remains
robust under different methods. We also find that the results from different statistical
methods are different. The results from cluster-level analysis methods are quite
different, while the results from the individual-level analysis methods are similar.
We conclude that using various methods to analyze the trial provide good
sensitivity analyses to help in interpreting the results of cluster randomized trials.
Extensive simulation studies comparing the statistical powers of the different methods
in different situations are required. / Thesis / Master of Science (MS)
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