An introduction to the stepped wedge cluster randomised trial, by Dr Karla Hemming for the CLAHRC West Midlands Scientific Advisory Group meeting, 9th June 2015, Birmingham, UK
An introduction to the stepped wedge cluster randomised trial Karla hemming
The document discusses stepped wedge cluster randomized trials (SW-CRTs), including recommendations for design, analysis, and reporting of these types of studies. It provides examples of how to determine sample size and power for SW-CRTs. Key points are that time effects must be considered in both power calculations and analysis, and the design allows staggered implementation while still facilitating comparison between exposed and unexposed time periods. SW-CRTs are particularly useful when resources are limited or a parallel design is not feasible.
Issues and suggestsions from Prof Jon Nicholl on the stepped-wedge study design for the CLAHRC WM Scientific Advisory Group meeting, 9th June 2015, Birmingham, UK
The stepped wedge cluster randomised trial workshop: session 5Karla hemming
This document discusses analysis considerations for stepped wedge cluster randomized trials (SW-CRTs) where time is a confounder. It provides two illustrative examples of SW-CRTs and analyzes the results with and without adjusting for time. The key points are:
1) Time needs to be accounted for in the sample size calculation and analysis of SW-CRTs.
2) Analyses should adjust for time using methods like GEE or mixed models to control for secular trends.
3) Without adjusting for time, estimates of intervention effect can be misleading due to imbalances in calendar time between exposed and unexposed groups.
The stepped wedge cluster randomised trial workshop: Session 2 Karla hemming
The document provides an introduction to the stepped wedge cluster randomized trial (SW-CRT) design for evaluating policy and service delivery interventions. It defines key features of the SW-CRT design, including that it allows sequential rollout of an intervention to clusters over time and ultimately all clusters receive the intervention. Examples of SW-CRTs are provided covering different areas like emergency laparotomy, depression management, and vaccination programs. Considerations for when the SW-CRT design is appropriate and potential variations are discussed.
The stepped wedge cluster randomised trial: session 6Karla hemming
The document discusses reporting guidelines for stepped wedge trials. It notes that there are currently no tailored reporting guidelines for stepped wedge trials, but recommends following the CONSORT 2010 extension for cluster randomized trials in the meantime. A CONSORT extension for stepped wedge trials is currently being developed. The document provides some preliminary reporting recommendations for stepped wedge trials, including defining the trial design, justifying the sample size, accounting for clustering and time effects in the analysis, and reporting results by exposure to the intervention with a schematic of the design.
Research and reporting methods for the stepped wedge cluster randomized trial...NIHR CLAHRC West Midlands
This document outlines sample size calculations for stepped wedge cluster randomized trials. It begins with a review of cluster randomized trials, including definitions, concepts, and sample size calculations for parallel designs. It then discusses stepped wedge designs, providing definitions and sample size calculations for balanced complete designs. The document compares parallel and stepped wedge designs, and concludes with practical considerations for sample size calculations. An example sample size calculation is then shown for a dementia study using a stepped wedge cluster randomized trial design.
Innovative sample size methods for adaptive clinical trials webinar web ver...nQuery
View the video here:
https://www.statsols.com/webinar/innovative-sample-size-methods-for-adaptive-clinical-trials
Given the high failure rates and the increased costs of clinical trials, researchers need innovative design strategies to best optimize financial resources and reduce the risk to patients.
Adaptive designs are emerging as a way to reduce risk and cost associated with clinical trials. The FDA recently published guidance (Innovative Cures Act) and are actively encouraging sponsors to use Adaptive trials.
Adaptive design is a clinical trial design that allows adaptations or modifications to aspects of the trial after its initiation without undermining the validity and integrity of the trial.
In this webinar, Ronan will demonstrate nQuery's new Adaptive module focusing on Sample Size Re-Estimation & Group-Sequential Design.
In this webinar you will learn about:
The pros and cons of adaptive designs
Sample Size Re-Estimation
Group-Sequential Design
Conditional Power
Predictive Power
An introduction to the stepped wedge cluster randomised trial Karla hemming
The document discusses stepped wedge cluster randomized trials (SW-CRTs), including recommendations for design, analysis, and reporting of these types of studies. It provides examples of how to determine sample size and power for SW-CRTs. Key points are that time effects must be considered in both power calculations and analysis, and the design allows staggered implementation while still facilitating comparison between exposed and unexposed time periods. SW-CRTs are particularly useful when resources are limited or a parallel design is not feasible.
Issues and suggestsions from Prof Jon Nicholl on the stepped-wedge study design for the CLAHRC WM Scientific Advisory Group meeting, 9th June 2015, Birmingham, UK
The stepped wedge cluster randomised trial workshop: session 5Karla hemming
This document discusses analysis considerations for stepped wedge cluster randomized trials (SW-CRTs) where time is a confounder. It provides two illustrative examples of SW-CRTs and analyzes the results with and without adjusting for time. The key points are:
1) Time needs to be accounted for in the sample size calculation and analysis of SW-CRTs.
2) Analyses should adjust for time using methods like GEE or mixed models to control for secular trends.
3) Without adjusting for time, estimates of intervention effect can be misleading due to imbalances in calendar time between exposed and unexposed groups.
The stepped wedge cluster randomised trial workshop: Session 2 Karla hemming
The document provides an introduction to the stepped wedge cluster randomized trial (SW-CRT) design for evaluating policy and service delivery interventions. It defines key features of the SW-CRT design, including that it allows sequential rollout of an intervention to clusters over time and ultimately all clusters receive the intervention. Examples of SW-CRTs are provided covering different areas like emergency laparotomy, depression management, and vaccination programs. Considerations for when the SW-CRT design is appropriate and potential variations are discussed.
The stepped wedge cluster randomised trial: session 6Karla hemming
The document discusses reporting guidelines for stepped wedge trials. It notes that there are currently no tailored reporting guidelines for stepped wedge trials, but recommends following the CONSORT 2010 extension for cluster randomized trials in the meantime. A CONSORT extension for stepped wedge trials is currently being developed. The document provides some preliminary reporting recommendations for stepped wedge trials, including defining the trial design, justifying the sample size, accounting for clustering and time effects in the analysis, and reporting results by exposure to the intervention with a schematic of the design.
Research and reporting methods for the stepped wedge cluster randomized trial...NIHR CLAHRC West Midlands
This document outlines sample size calculations for stepped wedge cluster randomized trials. It begins with a review of cluster randomized trials, including definitions, concepts, and sample size calculations for parallel designs. It then discusses stepped wedge designs, providing definitions and sample size calculations for balanced complete designs. The document compares parallel and stepped wedge designs, and concludes with practical considerations for sample size calculations. An example sample size calculation is then shown for a dementia study using a stepped wedge cluster randomized trial design.
Innovative sample size methods for adaptive clinical trials webinar web ver...nQuery
View the video here:
https://www.statsols.com/webinar/innovative-sample-size-methods-for-adaptive-clinical-trials
Given the high failure rates and the increased costs of clinical trials, researchers need innovative design strategies to best optimize financial resources and reduce the risk to patients.
Adaptive designs are emerging as a way to reduce risk and cost associated with clinical trials. The FDA recently published guidance (Innovative Cures Act) and are actively encouraging sponsors to use Adaptive trials.
Adaptive design is a clinical trial design that allows adaptations or modifications to aspects of the trial after its initiation without undermining the validity and integrity of the trial.
In this webinar, Ronan will demonstrate nQuery's new Adaptive module focusing on Sample Size Re-Estimation & Group-Sequential Design.
In this webinar you will learn about:
The pros and cons of adaptive designs
Sample Size Re-Estimation
Group-Sequential Design
Conditional Power
Predictive Power
The stepped wedge cluster randomised trial workshop: session 4Karla hemming
1) The stepped-wedge design is compared to other cluster randomized designs to estimate treatment effects under various assumptions.
2) The stepped-wedge design performs best when the cluster-mean correlation (CMC) is close to 1, indicating similarity between clusters.
3) No single design dominates - the best design depends on the CMC and combines features of parallel and stepped-wedge designs.
Webinar slides how to reduce sample size ethically and responsiblynQuery
[Webinar] How to reduce sample size...ethically and responsibly | In this free webinar, you will learn various design strategies to help reduce the sample size of your study in an ethical and responsible manner. Practical examples will be used throughout.
The document discusses methods for calculating sample sizes for various study designs, including measuring prevalence, cross-sectional studies, case-control studies, and clinical trials. It provides formulas and examples for calculating sample sizes needed to measure a dichotomous outcome and a continuous outcome. For measuring prevalence, the sample size depends on the expected prevalence rate, desired precision level, and confidence interval. For studies comparing two groups, the sample size depends on the event rates in each group and the desired power and significance level to detect a difference between groups.
This document summarizes research on the psychometric properties of the Outcome Rating Scale (ORS) and Session Rating Scale (SRS). It reports on multiple studies that evaluated the reliability and validity of these measures. The studies found high levels of internal consistency and test-retest reliability for both scales. Validity was established through significant correlations with other measures of client progress and treatment outcome. The ORS and SRS demonstrate good psychometric qualities for monitoring client progress and the therapeutic alliance in routine clinical practice.
The document summarizes several studies on the reliability and validity of the ORS (Outcome Rating Scale) and SRS (Session Rating Scale). It describes multiple studies that found high internal consistency for both measures. It also reports that studies found the ORS and SRS to be valid based on correlations with other measures of client distress, functioning, and therapy outcomes. Further, feedback studies found routinely monitoring client progress and providing therapists feedback improved outcomes for clients identified as at risk of deterioration.
Summary of current research on routine outcome measurement, feedback, the validity, reliability, and effectiveness of the ORS and SRS (or PCOMS Outcome Management System)
2014-10-22 EUGM | WEI | Moving Beyond the Comfort Zone in Practicing Translat...Cytel USA
1. The document discusses moving beyond conventional practices in translational statistics to obtain more robust and clinically meaningful results from clinical studies.
2. Several methodology issues are discussed, including how to define primary endpoints when there are multiple outcomes, how to handle dropouts and competing risks, and how to quantify treatment contrasts in a model-free way.
3. Alternative approaches are proposed for various types of studies, such as using restricted mean survival times instead of hazard ratios for survival analyses and performing meta-analyses for evaluating safety issues using large amounts of data.
2020 trends in biostatistics what you should know about study design - slid...nQuery
2020 Trends In Biostatistics - What you should know about study design.
In this free webinar you will learn about:
-Adaptive designs in confirmatory trials
-Using external data in study planning
-Innovative designs in early-stage trials
To watch the full webinar:
https://www.statsols.com/webinar/2020-trends-in-biostatistics-what-you-should-know-about-study-design
Power Analysis and Sample Size DeterminationAjay Dhamija
This document discusses power analysis and sample size determination. It explains key concepts like power, effect size, significance level, and how changing these factors impacts the required sample size. Sample size is important to correctly power a study to detect clinically meaningful effects without excessive subjects. The document provides formulas and examples for calculating sample sizes for various study designs including randomized trials, pre-post, and equivalence studies. Researchers must consider these factors before collecting data to ensure their study is appropriately powered.
Innovative Sample Size Methods For Clinical Trials nQuery
"Innovative Sample Size Methods for Clinical Trials" is hosted to coincide with the Spring 2018 update to nQuery - The leading Sample Size Software.
Hosted by Ronan Fitzpatrick - Head of Statistics and nQuery Lead Researcher at Statsols - you'll learn about the benefits of a range of procedures and how you can implement them into your work:
1) Dose-escalation with the Bayesian Continual Reassessment Method
CRM is a growing alternative to the 3+3 method for Phase I trials finding the Maximum Tolerated Dose (MTD).
See how researchers can overcome 3+3 drawbacks to easily find the required sample size for this beneficial alternative for finding the MTD.
2) Bayesian Assurance with Survival Example
This Bayesian alternative to power has experienced a rapid rise in interest and application from researchers.
See how Assurance is being used by researchers to discover the true “probability of success” of a trial.
3) Mendelian Randomization
Mendelian randomization (MR) is a method that allows testing of a causal effect from observational data in the presence of confounding factors.
However, in order to design efficient Mendelian randomization studies, it is essential to calculate the appropriate sample sizes required. We demonstrate what to do to achieve this.
4) Negative Binomial Distribution
Negative binomial model has been increasingly used to model the count data. One of the challenges of applying negative binomial model in clinical trial design is the sample size estimation.
We demonstrate how best to determine the appropriate sample size in the presence of challenges such as unequal follow-up or dispersion.
Sample size for survival analysis - a guide to planning successful clinical t...nQuery
Determining the appropriate number of events needed for survival analysis is a complex task as study planners try to predict what sample size will be needed after accounting for the complications of unequal follow-up, drop-out and treatment crossover.
The statistical, logistical and ethical considerations all complicate life for biostatisticians as issues to balance in planning a survival analysis. However, this complexity has created a need for new analyses and procedures to help the planning process for survival analysis trials.
The wider move from fixed to flexible designs has opened up opportunities for advanced methods such as adaptive design and Bayesian analysis to help deal with the unique complications of planning for survival data but these methods have their own complications that need to be explored too.
Webinar slides- alternatives to the p-value and power nQuery
What are the alternatives to the p-value & power? What is the next step for sample size determination? We will explore these issues in this free webinar presented by nQuery
Network meta-analysis with integrated nested Laplace approximationsBurak Kürsad Günhan
This document discusses network meta-analysis (NMA) models for combining data from multiple treatment comparisons. It provides an overview of NMA terminology and models, including the Lu-Ades and Jackson models. It also demonstrates the application of these models to sample datasets on tuberculosis vaccine trials and smoking cessation interventions using Bayesian inference with integrated nested Laplace approximations (INLA). The key contributions are the INLA implementation of the Jackson NMA model and an R function for fitting various pairwise and network meta-analysis models.
RADIATION PROTECT trial: a randomized controlled trial of radiation protection with a patient lead shield and a novel non-lead surgical cap for operators performing coronary angiography or intervention
For more course tutorials visit
www.tutorialrank.com
Exercise 6
What are the frequency and percentage of the COPD patients in the severe airflow limitation group who are employed in the Eckerblad et al. (2014) study?
What percentage of the total sample is retired? What percentage of the total sample is on sick leave?
What is the total sample size of this study? What frequency and percentage of the total sample were still
2014-10-22 EUGM | PROSCHAN | Blinded Adaptations Permutations Tests and T-TestsCytel USA
1) Permutation tests condition on all data except treatment assignments and have a valid null distribution even if test statistics or aspects of the study design are adapted based on interim blinded data.
2) For a one-sample matched pairs design, the permutation distribution of the test statistic is normal with mean 0 and variance equal to the sum of squared differences between pairs.
3) The t-statistic calculated from such a design has the same null distribution as the permutation test statistic and remains valid for interim adaptations.
The document discusses planning a study to examine whether HIV infection accelerates the onset of memory loss in older adults. It provides details on study design, endpoints, sample size calculations, and statistical power. Sample size calculations for comparing memory scores between HIV+ and HIV- groups show that 100 individuals would need to be enrolled in each group to detect a difference of 2 units with 80% power. For a binary secondary endpoint comparing reported memory impairment between groups, 211 individuals per group would be needed to detect an odds ratio of 2, if the baseline rate in HIV- individuals is 15%.
Optimizing Oncology Trial Design FAQs & Common IssuesnQuery
Optimizing Oncology Trial Design - FAQs & Common Issues
In this free webinar you will learn about
Endpoints
Models
Covariates, stratification and censoring issues
Adaptive design - complications and opportunities
Sample size determination
& more
In this free webinar we will offer guidance on how to optimize your oncology trial design. Specifically, we will examine the frequently asked questions and common issues that arise.
https://www.statsols.com/webinar/optimizing-oncology-trial-design
Steve Iliffe: Encouraging innovative approaches and policies to improve prima...The King's Fund
Steve Iliffe, Professor of Primary Care for Older People at University College London, spoke at our conference Making health and care services fit for an ageing population. Steve championed an innovative approach to primary care and explains what we need to do to achieve this.
The stepped wedge cluster randomised trial workshop: session 4Karla hemming
1) The stepped-wedge design is compared to other cluster randomized designs to estimate treatment effects under various assumptions.
2) The stepped-wedge design performs best when the cluster-mean correlation (CMC) is close to 1, indicating similarity between clusters.
3) No single design dominates - the best design depends on the CMC and combines features of parallel and stepped-wedge designs.
Webinar slides how to reduce sample size ethically and responsiblynQuery
[Webinar] How to reduce sample size...ethically and responsibly | In this free webinar, you will learn various design strategies to help reduce the sample size of your study in an ethical and responsible manner. Practical examples will be used throughout.
The document discusses methods for calculating sample sizes for various study designs, including measuring prevalence, cross-sectional studies, case-control studies, and clinical trials. It provides formulas and examples for calculating sample sizes needed to measure a dichotomous outcome and a continuous outcome. For measuring prevalence, the sample size depends on the expected prevalence rate, desired precision level, and confidence interval. For studies comparing two groups, the sample size depends on the event rates in each group and the desired power and significance level to detect a difference between groups.
This document summarizes research on the psychometric properties of the Outcome Rating Scale (ORS) and Session Rating Scale (SRS). It reports on multiple studies that evaluated the reliability and validity of these measures. The studies found high levels of internal consistency and test-retest reliability for both scales. Validity was established through significant correlations with other measures of client progress and treatment outcome. The ORS and SRS demonstrate good psychometric qualities for monitoring client progress and the therapeutic alliance in routine clinical practice.
The document summarizes several studies on the reliability and validity of the ORS (Outcome Rating Scale) and SRS (Session Rating Scale). It describes multiple studies that found high internal consistency for both measures. It also reports that studies found the ORS and SRS to be valid based on correlations with other measures of client distress, functioning, and therapy outcomes. Further, feedback studies found routinely monitoring client progress and providing therapists feedback improved outcomes for clients identified as at risk of deterioration.
Summary of current research on routine outcome measurement, feedback, the validity, reliability, and effectiveness of the ORS and SRS (or PCOMS Outcome Management System)
2014-10-22 EUGM | WEI | Moving Beyond the Comfort Zone in Practicing Translat...Cytel USA
1. The document discusses moving beyond conventional practices in translational statistics to obtain more robust and clinically meaningful results from clinical studies.
2. Several methodology issues are discussed, including how to define primary endpoints when there are multiple outcomes, how to handle dropouts and competing risks, and how to quantify treatment contrasts in a model-free way.
3. Alternative approaches are proposed for various types of studies, such as using restricted mean survival times instead of hazard ratios for survival analyses and performing meta-analyses for evaluating safety issues using large amounts of data.
2020 trends in biostatistics what you should know about study design - slid...nQuery
2020 Trends In Biostatistics - What you should know about study design.
In this free webinar you will learn about:
-Adaptive designs in confirmatory trials
-Using external data in study planning
-Innovative designs in early-stage trials
To watch the full webinar:
https://www.statsols.com/webinar/2020-trends-in-biostatistics-what-you-should-know-about-study-design
Power Analysis and Sample Size DeterminationAjay Dhamija
This document discusses power analysis and sample size determination. It explains key concepts like power, effect size, significance level, and how changing these factors impacts the required sample size. Sample size is important to correctly power a study to detect clinically meaningful effects without excessive subjects. The document provides formulas and examples for calculating sample sizes for various study designs including randomized trials, pre-post, and equivalence studies. Researchers must consider these factors before collecting data to ensure their study is appropriately powered.
Innovative Sample Size Methods For Clinical Trials nQuery
"Innovative Sample Size Methods for Clinical Trials" is hosted to coincide with the Spring 2018 update to nQuery - The leading Sample Size Software.
Hosted by Ronan Fitzpatrick - Head of Statistics and nQuery Lead Researcher at Statsols - you'll learn about the benefits of a range of procedures and how you can implement them into your work:
1) Dose-escalation with the Bayesian Continual Reassessment Method
CRM is a growing alternative to the 3+3 method for Phase I trials finding the Maximum Tolerated Dose (MTD).
See how researchers can overcome 3+3 drawbacks to easily find the required sample size for this beneficial alternative for finding the MTD.
2) Bayesian Assurance with Survival Example
This Bayesian alternative to power has experienced a rapid rise in interest and application from researchers.
See how Assurance is being used by researchers to discover the true “probability of success” of a trial.
3) Mendelian Randomization
Mendelian randomization (MR) is a method that allows testing of a causal effect from observational data in the presence of confounding factors.
However, in order to design efficient Mendelian randomization studies, it is essential to calculate the appropriate sample sizes required. We demonstrate what to do to achieve this.
4) Negative Binomial Distribution
Negative binomial model has been increasingly used to model the count data. One of the challenges of applying negative binomial model in clinical trial design is the sample size estimation.
We demonstrate how best to determine the appropriate sample size in the presence of challenges such as unequal follow-up or dispersion.
Sample size for survival analysis - a guide to planning successful clinical t...nQuery
Determining the appropriate number of events needed for survival analysis is a complex task as study planners try to predict what sample size will be needed after accounting for the complications of unequal follow-up, drop-out and treatment crossover.
The statistical, logistical and ethical considerations all complicate life for biostatisticians as issues to balance in planning a survival analysis. However, this complexity has created a need for new analyses and procedures to help the planning process for survival analysis trials.
The wider move from fixed to flexible designs has opened up opportunities for advanced methods such as adaptive design and Bayesian analysis to help deal with the unique complications of planning for survival data but these methods have their own complications that need to be explored too.
Webinar slides- alternatives to the p-value and power nQuery
What are the alternatives to the p-value & power? What is the next step for sample size determination? We will explore these issues in this free webinar presented by nQuery
Network meta-analysis with integrated nested Laplace approximationsBurak Kürsad Günhan
This document discusses network meta-analysis (NMA) models for combining data from multiple treatment comparisons. It provides an overview of NMA terminology and models, including the Lu-Ades and Jackson models. It also demonstrates the application of these models to sample datasets on tuberculosis vaccine trials and smoking cessation interventions using Bayesian inference with integrated nested Laplace approximations (INLA). The key contributions are the INLA implementation of the Jackson NMA model and an R function for fitting various pairwise and network meta-analysis models.
RADIATION PROTECT trial: a randomized controlled trial of radiation protection with a patient lead shield and a novel non-lead surgical cap for operators performing coronary angiography or intervention
For more course tutorials visit
www.tutorialrank.com
Exercise 6
What are the frequency and percentage of the COPD patients in the severe airflow limitation group who are employed in the Eckerblad et al. (2014) study?
What percentage of the total sample is retired? What percentage of the total sample is on sick leave?
What is the total sample size of this study? What frequency and percentage of the total sample were still
2014-10-22 EUGM | PROSCHAN | Blinded Adaptations Permutations Tests and T-TestsCytel USA
1) Permutation tests condition on all data except treatment assignments and have a valid null distribution even if test statistics or aspects of the study design are adapted based on interim blinded data.
2) For a one-sample matched pairs design, the permutation distribution of the test statistic is normal with mean 0 and variance equal to the sum of squared differences between pairs.
3) The t-statistic calculated from such a design has the same null distribution as the permutation test statistic and remains valid for interim adaptations.
The document discusses planning a study to examine whether HIV infection accelerates the onset of memory loss in older adults. It provides details on study design, endpoints, sample size calculations, and statistical power. Sample size calculations for comparing memory scores between HIV+ and HIV- groups show that 100 individuals would need to be enrolled in each group to detect a difference of 2 units with 80% power. For a binary secondary endpoint comparing reported memory impairment between groups, 211 individuals per group would be needed to detect an odds ratio of 2, if the baseline rate in HIV- individuals is 15%.
Optimizing Oncology Trial Design FAQs & Common IssuesnQuery
Optimizing Oncology Trial Design - FAQs & Common Issues
In this free webinar you will learn about
Endpoints
Models
Covariates, stratification and censoring issues
Adaptive design - complications and opportunities
Sample size determination
& more
In this free webinar we will offer guidance on how to optimize your oncology trial design. Specifically, we will examine the frequently asked questions and common issues that arise.
https://www.statsols.com/webinar/optimizing-oncology-trial-design
Steve Iliffe: Encouraging innovative approaches and policies to improve prima...The King's Fund
Steve Iliffe, Professor of Primary Care for Older People at University College London, spoke at our conference Making health and care services fit for an ageing population. Steve championed an innovative approach to primary care and explains what we need to do to achieve this.
Introduction: what is the SW-CRT?: Defining features, common variations, and some salient examples
Dr Karla Hemming
Society for Clinical Trials Conference; Arlington, Virginia
May 17th 2015
This presentation was part of the workshop organised by Karla Hemming: Research and reporting methods for the stepped wedge cluster randomised controlled trial
Magnus Liungman: RCTs in complex settings Nuffield Trust
Magnus Liungman and Dr Gustaf Edgren present on the lessons learned from developing a healthcare prevention intervention for frequent emergency department visitors.
Computer Decision Support Systems and Electronic Health Records: Am J Pub Hea...Lorenzo Moja
We systematically reviewed randomized controlled trials (RCTs) assessing the ef- fectiveness of computerized decision support systems (CDSSs) featuring rule- or algorithm-based software integrated with electronic health records (EHRs) and evidence-based knowledge. We searched MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials, and Cochrane Database of Abstracts of Reviews of Effects. Information on system design, capabilities, acquisition, implementation context, and effects on mortality, morbidity, and economic outcomes were extracted.
Twenty-eight RCTs were included. CDSS use did not affect mortality (16 trials, 37395 patients; 2282 deaths; risk ratio [RR] = 0.96; 95% con- fidence interval [CI]=0.85, 1.08; I2 = 41%). A statistically significant effect was evident in the prevention of morbidity, any disease (9 RCTs; 13868 patients; RR = 0.82; 95% CI = 0.68, 0.99; I2 = 64%), but selective outcome reporting or publication bias cannot be excluded. We observed differences for costs and health service utilization, although these were often small in magnitude.
Across clinical settings, new generation CDSSs integrated with EHRs do not affect mortality and might moderately improve morbidity outcomes. (Am J Pub- lic Health. Published online ahead of print October 16, 2014: e1–e11. doi:10.2105/ AJPH.2014.302164)
Cheshire and Wirral Best Practice event - 8 NovemberInnovation Agency
The document outlines plans for developing integrated care communities across South Cheshire and Vale Royal. Key points include:
- The formation of 5 care community teams to provide coordinated, patient-centered care across the region.
- Initial priority projects include developing the care community teams, improving GP out-of-hours care, and musculoskeletal physiotherapy.
- Achievements so far include aligning staff to the 5 communities, implementing rapid response services, and beginning multidisciplinary team meetings.
- Future goals involve strengthening primary care partnerships, expanding social care support, and using data to better manage patient risk levels.
Evidence-Based Practice Guidelines and Shared Decision Making: Conflicting or...Zackary Berger
How can we bridge physician guidelines, based on the best available evidence, and patient preferences? This workshop was given at the Society of General Internal Medicine 2015 Annual Meeting in Toronto, Canada.
Session Coordinator: Zackary Berger, MD, PhD
Additional Faculty: Michael J. Barry, MD, Kathleen Fairfield, MD, Leigh H. Simmons, MD, James Yeh, MD, Daniella A. Zipkin, MD, Dave deBronkart
The nature of worksites makes it is an ideal opportunity for obesity control and prevention interventions. The National Institutes of Health has funded 119 grants between 2007 and 2014.
Originally presented at the George Washington University and ICF International Research and Evaluation Forum (#GWICF2015), Dr. Charlotte Pratt, Program Director at the National Health, Lung, and Blood Institute (NHLBI), gives an overview of worksite obesity research and the key questions they aim to answer:
Do interventions that modify the worksite food and physical activity environments (or combined with individual approaches) control body weight in adults?
Will participation in a worksite obesity intervention sustain and maintain weight loss, and reduce cardiovascular disease risk factors in adults?
In addition to the slides, you can watch the video for research details and outcomes as well as recommendations for future research: www.icfi.com/ObesityPreventionCharlottePratt
Supporting medicines adherence developing the pharmacist contributionPM Society
This document summarizes a presentation by Professor Graham Davies on supporting medicine adherence for patients with diabetes. It discusses a project in South London to train community pharmacists to help patients with diabetes better manage their medication. Key challenges discussed include the high rates of non-adherence to medications for long-term conditions and the need for integrated care approaches across health professionals to address patients' multiple conditions and needs.
Population Health Management PHM MLCSU huddleMatthew Grek
Andi Orlowski (Director of The Health Economics Unit) give an overview of Population Health Management (PHM) to the Midlands and Lancashire Commissioning Support Unit Huddle, on 25 March 2021
7. Tom Lewis Getting it right for pathology presentationPHEScreening
This document summarizes a presentation on the Getting It Right First Time (GIRFT) program and its workstream focused on pathology. GIRFT aims to reduce unwarranted variation in clinical care through data collection, identifying best practices, and promoting changes. The pathology workstream is led by four clinical leads and aims to measure current variability in pathology services, create a vision for the future, and test changes. Key activities will include collecting data through questionnaires and site visits to understand variations and identify opportunities for improvement.
NICE Master Class final presentation 25 11 14 (including workshops)NEQOS
Collaborating for Better Care Partnership Master Class with NICE: 'Putting Evidence into Practice' - complete ppt slide pack including the workshop ppts and web links.
Master Class 'Putting evidence into practice' (plenary) presentation 25 11 14NEQOS
This document summarizes a master class on implementing evidence into practice using NICE guidance and quality standards. The event included presentations on NICE guidance and quality standards, a case study on implementing dementia guidance, and workshops on NICE pathways and resources. The goal was to improve awareness of NICE implementation support and consider challenges to applying evidence locally.
Η διαχείριση των μειζόνων συμπεριφορικών παραγόντων κινδύνου στην ΠΦΥEvangelos Fragkoulis
Παρουσίαση μου στα πλαίσια του Consensus Meeting: "Η διαχείριση και ο έλεγχος των Μείζονων Συμπεριφορικών Παραγόντων Κινδύνου για την Υγεία: η συμβολή νέων "εργαλείων" για την αντιμετώπιση τους", Ελληνική Επιστημονική Εταιρεία Οικονομίας και Πολιτικής της Υγείας, Ξυλόκαστρο 6-8 Ιουλίου 2018
MicroGuide app, pop up uni, 1pm, 3 september 2015NHS England
Expo is the most significant annual health and social care event in the calendar, uniting more NHS and care leaders, commissioners, clinicians, voluntary sector partners, innovators and media than any other health and care event.
Expo 15 returned to Manchester and was hosted once again by NHS England. Around 5000 people a day from health and care, the voluntary sector, local government, and industry joined together at Manchester Central Convention Centre for two packed days of speakers, workshops, exhibitions and professional development.
This year, Expo was more relevant and engaging than ever before, happening within the first 100 days of the new Government, and almost 12 months after the publication of the NHS Five Year Forward View. It was also a great opportunity to check on and learn from the progress of Greater Manchester as the area prepares to take over a £6 billion devolved health and social care budget, pledging to integrate hospital, community, primary and social care and vastly improve health and well-being.
More information is available online: www.expo.nhs.uk
Evaluating new models of care: Improvement Analytics UnitNuffield Trust
Martin Caunt, Improvement Analytics Unit Project Director and NHS England and Adam Steventon, Director of Data Analytics at The Health Foundation share insights into how they have approached evaluating new models of care.
Rethinking, rebuilding psychosocial care for cancer patientsJames Coyne
Presented as the 8th Trevor Anderson Psycho-Oncology Lecture, September 8, 2014, Melbourne, Australia.
Discusses how psychosocial care for cancer patients needs to be reorganized so that a broader range of cancer patients are served. Routine screening for distress is unlikely to be an efficient means of countering tendencies of cancer care more generally becoming more organized around time efficiency and billable procedures. Psychosocial care for many cancer patients involves discussions, negotiations, and care coordination they cannot be well fit into the idea of a counseling session. The unsung heroes of providing such care are underappreciated social workers and oncology nurses.
Adaptation of Evidence-based Interventions and De-Implementation of Ineffecti...HopkinsCFAR
The document discusses emerging topics in implementation science, including the adaptation of evidence-based interventions and de-implementation of ineffective programs. It provides definitions and concepts for fidelity versus adaptation, and outlines frameworks for understanding how and when adaptations can be made. The document also defines de-implementation and summarizes a portfolio analysis of NIH-funded de-implementation research grants. It concludes that adaptation and de-implementation are emerging areas that require further study to advance implementation science.
Similar to The Stepped Wedge study - Karla Hemming (20)
This document describes a comparative analysis project that evaluated whether a rapid qualitative analysis approach could deliver findings more quickly than a traditional in-depth analysis method. The rapid analysis used summary templates to analyze data within a short timeframe, while the in-depth analysis used coding and the Framework method. The results found that rapid analysis was much faster for data management but took longer for interpretation. Both methods produced similar key issues and recommendations, but the in-depth analysis provided more specific, context-informed findings. The document reflects on the applications and limitations of rapid qualitative analysis approaches.
This document discusses moving from current ad-hoc healthcare systems to a national learning health system. It outlines challenges facing healthcare like rising costs and an aging population. Current digital health data is underused. Examples show how data can enable epidemiological research, evaluate policies, and support clinical trials. Bigger efforts are needed to create a prototype national asthma learning health system. This would use various data sources to monitor asthma burden, improve outcomes and reduce deaths. The goal is an integrated system that continuously learns from patient care to drive discovery and improve value.
The document summarizes the history of healthcare development in Birmingham over the past century, from the origins of early hospitals to the planning and construction of the new Queen Elizabeth Hospital. It describes:
- The early voluntary and municipal hospitals established in Birmingham from the 18th century to treat the poor.
- The social, medical, and technological changes in the early 20th century that increased demand for hospital services.
- The controversies over proposals in the 1920s-30s to build a new united hospital center to replace overcrowded facilities.
- The planning process that ultimately led to the construction of the original Queen Elizabeth Hospital, which opened in 1938.
- The need for renewal that resulted in
This document discusses stepped wedge cluster randomized trial designs and recent related research. It provides background on cluster studies over time and describes traditional parallel and crossover cluster designs. It then explains classic and modified stepped wedge designs, issues in methodology, and recent related papers addressing topics like sample size calculations and extending CONSORT guidelines. Finally, it proposes future projects on developing CONSORT standards for stepped wedge trials and exploring designs beyond the standard stepped wedge like "dog leg" and ladder designs to improve efficiency.
4 - Further info - Setting up research in the NHS: practical and ethical cons...NIHR CLAHRC West Midlands
This document provides information about a training event on setting up research in the NHS, including practical and ethical considerations. It outlines the day's program, with a lunch break from 12-1pm, and information about an evaluation form that will be circulated by email after the event. It also provides details about an online NIHR ethics learning module, and further information sources like the CLAHRC West Midlands website and how to sign up for their news blog or email the contact listed.
3 - UoB - Setting up research in the NHS: practical and ethical considerationsNIHR CLAHRC West Midlands
Presentation by Prof Heather Draper, University of Birmingham - exploring information provided to research participants/patients during informed consent process
1 - HRA - Setting up research in the NHS: practical and ethical considerationsNIHR CLAHRC West Midlands
The Health Research Authority (HRA) was established in 2011 to simplify the process for approval of health research in the NHS in England. The HRA aims to reduce the time and cost of setting up studies through a single application process called HRA Approval. When fully implemented, HRA Approval will provide assurance to NHS organizations in England that a study can be undertaken, replacing other approval processes. The presentation provides updates on the phased implementation of HRA Approval for different study types.
CLAHARC WM Capacity Development Strategy - Nathalie Maillard and Tom MarshallNIHR CLAHRC West Midlands
Presentation to Programme Steering Committee on 14th January 2016 on the CLAHARC WM Capacity Development Strategy. Given by Nathalie Maillard and Tom Marshall.
Feedback from 'speed dating' - Postgrad / Early Career Researcher event 19th ...NIHR CLAHRC West Midlands
The document outlines the programme for a postgraduate and early career researcher event held by CLAHRC West Midlands. The programme includes sessions on ethics, collaboration and engagement, public and patient involvement, networking and peer support, and research methodology. Attendees will discuss topics like navigating ethics reviews, balancing clinical and academic work, engaging stakeholders, and designing sound studies.
The document summarizes a trial called the CO-OPS Trial which studied the effects of fatigue on radiologists' performance in breast cancer screening. It tested whether reversing the order radiologists read screening mammograms (to optimize performance patterns) and taking breaks could help address the normal vigilance decrement seen in tasks requiring sustained attention over long periods. The document outlines the trial methods, results, and interpretations that will be presented on fatigue and changing case order in breast screening radiology.
Rapid qualitative analysis vs the 'traditional approach': early findings and ...NIHR CLAHRC West Midlands
Dr Beck Taylor of Theme 1, Maternity and Child Health, presented her latest project, comparing a rapid approach to synthesising evidence from qualitative research to traditional research methods, presented at CLAHRC WM Programme Steering Committee meeting, 22nd October 2015
This document describes the SPACER study which aims to identify the benefits and disadvantages of electronic prescribing and medication administration (EPMA) compared to paper-based systems. The SPACER study will consist of 3 strands conducted over 3 years: 1) An ethnographic study to observe organizational changes and staff perspectives with EPMA implementation. 2) A data envelopment analysis study to assess the impact of EPMA on healthcare service efficiency. 3) A Drugs, Data, Decisions study to identify changes to key performance measures, processes, reporting and decision making regarding the medication process before, during and after EPMA implementation.
R3 Stem Cell Therapy: A New Hope for Women with Ovarian FailureR3 Stem Cell
Discover the groundbreaking advancements in stem cell therapy by R3 Stem Cell, offering new hope for women with ovarian failure. This innovative treatment aims to restore ovarian function, improve fertility, and enhance overall well-being, revolutionizing reproductive health for women worldwide.
CHAPTER 1 SEMESTER V COMMUNICATION TECHNIQUES FOR CHILDREN.pdfSachin Sharma
Here are some key objectives of communication with children:
Build Trust and Security:
Establish a safe and supportive environment where children feel comfortable expressing themselves.
Encourage Expression:
Enable children to articulate their thoughts, feelings, and experiences.
Promote Emotional Understanding:
Help children identify and understand their own emotions and the emotions of others.
Enhance Listening Skills:
Develop children’s ability to listen attentively and respond appropriately.
Foster Positive Relationships:
Strengthen the bond between children and caregivers, peers, and other adults.
Support Learning and Development:
Aid cognitive and language development through engaging and meaningful conversations.
Teach Social Skills:
Encourage polite, respectful, and empathetic interactions with others.
Resolve Conflicts:
Provide tools and guidance for children to handle disagreements constructively.
Encourage Independence:
Support children in making decisions and solving problems on their own.
Provide Reassurance and Comfort:
Offer comfort and understanding during times of distress or uncertainty.
Reinforce Positive Behavior:
Acknowledge and encourage positive actions and behaviors.
Guide and Educate:
Offer clear instructions and explanations to help children understand expectations and learn new concepts.
By focusing on these objectives, communication with children can be both effective and nurturing, supporting their overall growth and well-being.
English Drug and Alcohol Commissioners June 2024.pptxMatSouthwell1
Presentation made by Mat Southwell to the Harm Reduction Working Group of the English Drug and Alcohol Commissioners. Discuss stimulants, OAMT, NSP coverage and community-led approach to DCRs. Focussing on active drug user perspectives and interests
Sectional dentures for microstomia patients.pptxSatvikaPrasad
Microstomia, characterized by an abnormally small oral aperture, presents significant challenges in prosthodontic treatment, including limited access for examination, difficulties in impression making, and challenges with prosthesis insertion and removal. To manage these issues, customized impression techniques using sectional trays and elastomeric materials are employed. Prostheses may be designed in segments or with flexible materials to facilitate handling. Minimally invasive procedures and the use of digital technologies can enhance patient comfort. Education and training for patients on prosthesis care and maintenance are crucial for compliance. Regular follow-up and a multidisciplinary approach, involving collaboration with other specialists, ensure comprehensive care and improved quality of life for microstomia patients.
Emotional and Behavioural Problems in Children - Counselling and Family Thera...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
VEDANTA AIR AMBULANCE SERVICES IN REWA AT A COST-EFFECTIVE PRICE.pdfVedanta A
Air Ambulance Services In Rewa works in close coordination with ground-based emergency services, including local Emergency Medical Services, fire departments, and law enforcement agencies.
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Mental Health and well-being Presentation. Exploring innovative approaches and strategies for enhancing mental well-being. Discover cutting-edge research, effective strategies, and practical methods for fostering mental well-being.
Joker Wigs has been a one-stop-shop for hair products for over 26 years. We provide high-quality hair wigs, hair extensions, hair toppers, hair patch, and more for both men and women.
NURSING MANAGEMENT OF PATIENT WITH EMPHYSEMA .PPTblessyjannu21
Prepared by Prof. BLESSY THOMAS, VICE PRINCIPAL, FNCON, SPN.
Emphysema is a disease condition of respiratory system.
Emphysema is an abnormal permanent enlargement of the air spaces distal to terminal bronchioles, accompanied by destruction of their walls and without obvious fibrosis.
Emphysema of lung is defined as hyper inflation of the lung ais spaces due to obstruction of non respiratory bronchioles as due to loss of elasticity of alveoli.
It is a type of chronic obstructive
pulmonary disease.
It is a progressive disease of lungs.
Michigan HealthTech Market Map 2024. Includes 7 categories: Policy Makers, Academic Innovation Centers, Digital Health Providers, Healthcare Providers, Payers / Insurance, Device Companies, Life Science Companies, Innovation Accelerators. Developed by the Michigan-Israel Business Accelerator
1. Introducing the stepped wedge cluster
randomised trial (SW-CRT)
Defining features, some salient examples and implications of
consent processes on bias
Karla Hemming
12/06/2015
Richard Lilford, Alan Girling, Monica Taljaard
3. Evaluation of policy and service delivery
interventions
The Matching
Michigan Study
“A conventional narrative might
run thus… the intervention
resulted in a reduction in..
outcomes.”
“The marked reduction in rates in
English ICUs found in this study is
likely part of a wider secular trend
for a system-wide improvement in
healthcare-associated infections.”
Bion J, Richardson A, Hibbert P, Beer J, Abrusci T, McCutcheon M, Cassidy J, Eddleston J, Gunning K, Bellingan G, Patten M, Harrison D;
Matching Michigan Collaboration & Writing Committee. 'Matching Michigan': a 2-year stepped interventional programme to minimise central
venous catheter-blood stream nfections in intensive care units in England. BMJ Qual Saf. 2013 Feb;22(2):110-23. doi: 10.1136/bmjqs-2012
001325. Epub 2012 Sep 20. PubMed PMID: 22996571; PubMed Central PMCID: PMC3585494.
4. Evidence based policy interventions
Working constraints
• Stakeholder’s desires
• Pragmatic limitations
• A priori beliefs
How the SW-CRT can help
• All clusters ultimately get
intervention
• Sequential roll out
• Robust evaluation
12. Importance of allocation concealment…
• Lack of concealment
of allocation
– Risk of selection bias
• In CRTs this means:
– Avoid individual patient
recruitment
– Routinely collected
outcome data
Chalmers:
“Although one of the reasons that the streptomycin trial has
become iconic is … random number tables …. it was
because successful concealment of allocation”
13. Example of a CRT with lack of
concealment of allocation
• Results in baseline
imbalance
• Due to recruitment of
individuals after allocation
known
• Empirical evidence:
occurs in about 40% of
CRTs
Puffer S, Torgerson D, Watson J. Evidence for risk of bias in cluster randomised trials: review of recent trials published in three general
medical journals. BMJ. 2003 Oct 4;327(7418):785-9. Review. PubMed PMID: 14525877; PubMed Central PMCID: PMC214092.
14. Implications for SW-CRTs
• Currently most SW-CRTs
use individual patient
recruitment
– Risk of bias
• If we want to promote the
SW-CRT
– Need to minimise risk of
bias
• Independent recruitment
• Use routine outcome data
(no consent model)
15. The new EU clinical trials regulation (2014)
• New remit: cluster
trials
• Standard care
medicinal products
• Article 30: informed
consent in cluster
trials
• simplified consent
But – SW-CRTs rarely used to evaluate
medicinal products.. Not important???
16. NHS Health Research Authority
• Scope
– Medicinal products
and service delivery
interventions
• Means of consent
– Proportionate
– Documented
– Only exceptional
cases should waiver
be used
17. Interpretation for medicinal products
• E.g. head to head trial
of statins
– Explicit consent (short
information leaflet)
– Deemed consent
(posters in weighting
room)
18. Implication for service delivery interventions
• E.g. pressure
relieving mattress trial
– Outcome routine data
• Recommendation
– No consent sought for
intervention
– Consent sought for
use of data
19. Implications for SW-CRTs
Medicinal products
• Simplified consent model
• Potential to improve
generalisability
• Potential to lessen the
risk of bias
Service delivery interventions
• Waiver of consent model
less favoured
• Need for consent for
outcome use
• Increase risk of bias
20. Summary
• SW-CRT a pragmatic study design which reconciles the need for
robust evaluations with political or logistical constraints.
• Currently framework for the evaluation of SDIs:
– No consent taken for intervention
– Waiver of consent obtained for use of routine outcome data
• Implications for SDIs under new HRA guidance:
– Need to obtain consent for use of routine outcome data?
– (Simplified consent welcome for standard care medicinal
products)