Provision of the progestogen-only pill by community pharmacies as bridging contraception for women receiving emergency contraception: the Bridge-it RCT

Reporting involvement activities with children and young people in paediatric research: a framework analysis

BACKGROUND

The active involvement of patients and the public in the design and delivery of health research has been increasingly encouraged, if not enforced. Knowledge of how this is realised in practice, especially where children and young people (CYP) are concerned, is limited, partly due to the low level of reporting of patient and public involvement (PPI) in general. The aim of this work was to assess how researchers funded by the National Institute for Health and Care Research (NIHR) report the involvement of CYP in the design and conduct of child health research to better understand the opportunities offered to CYP, and the realities of involvement in practice.

METHODS

A participation matrix, analysis framework and accompanying tools were adapted from existing frameworks, including a child-rights informed framework, the Guidance for Reporting Involvement of Patients and the Public Checklist Short Form (GRIPP2SF), and NIHR reporting expectations. Child-focused research reports were identified from the NIHR Journals Library, including any interventional or observational study involving CYP aged 0-< 24 years. In two co-design workshops with healthcare professionals and CYP, we tested and refined the participation matrix, analysis framework and accompanying tools.

RESULTS

Only thirty-two NIHR reports out of 169 (19%) were identified as relevant and included reporting of PPI with CYP. We identified significant variability in the way PPI with CYP was reported. Only 4/32 (12%) reports fully met NIHR (and GRIPP2SF) reporting criteria. Only 3/32 (9%) reports formally evaluated or self-reflected on PPI activities with CYP, whilst 15/32 (47%) provided minimal information about CYP involvement. The most common approach to involving CYP (23/32, 72%) was through the medium of existing groups or networks.

CONCLUSION

Despite the NIHR's commitment to increase the quality, transparency, and consistency of reporting PPI, the reporting of involvement with CYP remains sub-optimal. Neglecting to report key details of involvement methods and impacts deprives the research community of knowledge to advance the field of delivering 'meaningful' PPI with CYP. Practical guidance on how researchers can report the processes and outputs of CYP involvement more rigorously may help child health researchers to involve them more meaningfully. This research offers practical tools informed by CYP to aid the reporting process.

Statistical analysis of publicly funded cluster randomised controlled trials: a review of the National Institute for Health Research Journals Library

BACKGROUND

In cluster randomised controlled trials (cRCTs), groups of individuals (rather than individuals) are randomised to minimise the risk of contamination and/or efficiently use limited resources or solve logistic and administrative problems. A major concern in the primary analysis of cRCT is the use of appropriate statistical methods to account for correlation among outcomes from a particular group/cluster. This review aimed to investigate the statistical methods used in practice for analysing the primary outcomes in publicly funded cluster randomised controlled trials, adherence to the CONSORT (Consolidated Standards of Reporting Trials) reporting guidelines for cRCTs and the recruitment abilities of the cluster trials design.

METHODS

We manually searched the United Kingdom's National Institute for Health Research (NIHR) online Journals Library, from 1 January 1997 to 15 July 2021 chronologically for reports of cRCTs. Information on the statistical methods used in the primary analyses was extracted. One reviewer conducted the search and extraction while the two other independent reviewers supervised and validated 25% of the total trials reviewed.

RESULTS

A total of 1942 reports, published online in the NIHR Journals Library were screened for eligibility, 118 reports of cRCTs met the initial inclusion criteria, of these 79 reports containing the results of 86 trials with 100 primary outcomes analysed were finally included. Two primary outcomes were analysed at the cluster-level using a generalized linear model. At the individual-level, the generalized linear mixed model was the most used statistical method (80%, 80/100), followed by regression with robust standard errors (7%) then generalized estimating equations (6%). Ninety-five percent (95/100) of the primary outcomes in the trials were analysed with appropriate statistical methods that accounted for clustering while 5% were not. The mean observed intracluster correlation coefficient (ICC) was 0.06 (SD, 0.12; range, - 0.02 to 0.63), and the median value was 0.02 (IQR, 0.001-0.060), although 42% of the observed ICCs for the analysed primary outcomes were not reported.

CONCLUSIONS

In practice, most of the publicly funded cluster trials adjusted for clustering using appropriate statistical method(s), with most of the primary analyses done at the individual level using generalized linear mixed models. However, the inadequate analysis and poor reporting of cluster trials published in the UK is still happening in recent times, despite the availability of the CONSORT reporting guidelines for cluster trials published over a decade ago.