scholarly journals Correction: Implementing a structured model for osteoarthritis care in primary healthcare: A stepped-wedge cluster-randomised trial

PLoS Medicine ◽  
2019 ◽  
Vol 16 (12) ◽  
pp. e1002993
Author(s):  
Nina Østerås ◽  
Tuva Moseng ◽  
Leti van Bodegom-Vos ◽  
Krysia Dziedzic ◽  
Ibrahim Mdala ◽  
...  
PLoS Medicine ◽  
2019 ◽  
Vol 16 (10) ◽  
pp. e1002949 ◽  
Author(s):  
Nina Østerås ◽  
Tuva Moseng ◽  
Leti van Bodegom-Vos ◽  
Krysia Dziedzic ◽  
Ibrahim Mdala ◽  
...  

PLoS Medicine ◽  
2016 ◽  
Vol 13 (11) ◽  
pp. e1002175 ◽  
Author(s):  
Badara Cissé ◽  
El Hadj Ba ◽  
Cheikh Sokhna ◽  
Jean Louis NDiaye ◽  
Jules F. Gomis ◽  
...  

2018 ◽  
Vol 3 (5) ◽  
pp. e000907 ◽  
Author(s):  
Ramesh Agarwal ◽  
Deepak Chawla ◽  
Minakshi Sharma ◽  
Shyama Nagaranjan ◽  
Suresh K Dalpath ◽  
...  

BackgroundLow/middle-income countries need a large-scale improvement in the quality of care (QoC) around the time of childbirth in order to reduce high maternal, fetal and neonatal mortality. However, there is a paucity of scalable models.MethodsWe conducted a stepped-wedge cluster-randomised trial in 15 primary health centres (PHC) of the state of Haryana in India to test the effectiveness of a multipronged quality management strategy comprising capacity building of providers, periodic assessments of the PHCs to identify quality gaps and undertaking improvement activities for closure of the gaps. The 21-month duration of the study was divided into seven periods (steps) of 3  months each. Starting from the second period, a set of randomly selected three PHCs (cluster) crossed over to the intervention arm for rest of the period of the study. The primary outcomes included the number of women approaching the PHCs for childbirth and 12 directly observed essential practices related to the childbirth. Outcomes were adjusted with random effect for cluster (PHC) and fixed effect for ‘months of intervention’.ResultsThe intervention strategy led to increase in the number of women approaching PHCs for childbirth (26 vs 21 women per PHC-month, adjusted incidence rate ratio: 1.22; 95% CI 1.17 to 1.28). Of the 12 practices, 6 improved modestly, 2 remained near universal during both intervention and control periods, 3 did not change and 1 worsened. There was no evidence of change in mortality with a majority of deaths occurring either during referral transport or at the referral facilities.ConclusionA multipronged quality management strategy enhanced utilisation of services and modestly improved key practices around the time of childbirth in PHCs in India.Trial registration numberCTRI/2016/05/006963.


The Lancet ◽  
2013 ◽  
Vol 381 (9885) ◽  
pp. 2255-2264 ◽  
Author(s):  
Ruslan Leontjevas ◽  
Debby L Gerritsen ◽  
Martin Smalbrugge ◽  
Steven Teerenstra ◽  
Myrra JFJ Vernooij-Dassen ◽  
...  

2017 ◽  
Vol 14 (5) ◽  
pp. 507-517 ◽  
Author(s):  
Michael J Grayling ◽  
James MS Wason ◽  
Adrian P Mander

Background/Aims: The stepped-wedge cluster randomised trial design has received substantial attention in recent years. Although various extensions to the original design have been proposed, no guidance is available on the design of stepped-wedge cluster randomised trials with interim analyses. In an individually randomised trial setting, group sequential methods can provide notable efficiency gains and ethical benefits. We address this by discussing how established group sequential methodology can be adapted for stepped-wedge designs. Methods: Utilising the error spending approach to group sequential trial design, we detail the assumptions required for the determination of stepped-wedge cluster randomised trials with interim analyses. We consider early stopping for efficacy, futility, or efficacy and futility. We describe first how this can be done for any specified linear mixed model for data analysis. We then focus on one particular commonly utilised model and, using a recently completed stepped-wedge cluster randomised trial, compare the performance of several designs with interim analyses to the classical stepped-wedge design. Finally, the performance of a quantile substitution procedure for dealing with the case of unknown variance is explored. Results: We demonstrate that the incorporation of early stopping in stepped-wedge cluster randomised trial designs could reduce the expected sample size under the null and alternative hypotheses by up to 31% and 22%, respectively, with no cost to the trial’s type-I and type-II error rates. The use of restricted error maximum likelihood estimation was found to be more important than quantile substitution for controlling the type-I error rate. Conclusion: The addition of interim analyses into stepped-wedge cluster randomised trials could help guard against time-consuming trials conducted on poor performing treatments and also help expedite the implementation of efficacious treatments. In future, trialists should consider incorporating early stopping of some kind into stepped-wedge cluster randomised trials according to the needs of the particular trial.


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