Patient reported outcomes and recruitment rates following the introduction of principled patient information leaflets (PrinciPILs): Protocol for a meta-analysis.
Communication
adverse events
harms
meta-analysis
nocebo
placebo
recruitment
research ethics
Journal
NIHR open research
ISSN: 2633-4402
Titre abrégé: NIHR Open Res
Pays: England
ID NLM: 9918333281906676
Informations de publication
Date de publication:
2023
2023
Historique:
accepted:
04
04
2023
medline:
26
5
2023
pubmed:
26
5
2023
entrez:
14
8
2024
Statut:
epublish
Résumé
The way potential benefits and harms of trial interventions are shared within patient information leaflets (PILs) varies widely and may cause unnecessary harms ("nocebo effects"). The aim of this meta-analysis will be to evaluate the influence on recruitment rates and early effects on patient reported adverse events of principled patient information leaflets (PrinciPILs) compared with standard PILs. Eligible studies will include those that report the effects on recruitment and patient reported adverse events of PrinciPILs compared to standard PILs. We will include in this meta-analysis all the standard PILs in studies within trials (SWATs) of PrinciPILs that were developed as part of the Medical Research Council (MRC) funded PrinciPIL project. By publishing this as a living meta-analysis, we will allow the meta-analysis to be updated with future SWATs of PrinciPILs. We will use the Cochrane Risk of Bias tool to evaluate the risk of bias for each outcome. We will report the total number of studies and participants analysed and the characteristics of included studies (including details of intervention, comparators, outcomes). For dichotomous data, we will calculate the risk difference and the risk ratio (RR) and 95% confidence intervals (CIs). For continuous outcomes we will use weighted mean differences with 95% CIs or standardized mean differences with 95% CIs. We will investigate heterogeneity by visually inspecting the forest plot and by considering the I We will discuss the limitations of the meta-analysis including study risk of bias, inconsistency, heterogeneity, and imprecision. A general interpretation of the results and important implications will be provided. People who take part in randomised trials need to understand the risks as well as the benefits of taking part. Most ‘patient information leaflets’ (PILs) that describe trial treatments include information about harms. Yet only some PILs contain information about potential benefits. This variation is confusing. Also, the over-emphasis on harms can cause “nocebo” effects, which are the harms caused by expecting something bad to happen. To solve these problems, we have developed seven principles that ensure that information about potential benefits and harms in PILs is balanced and consistent. We will now compare PILs that have been developed according to our principles (we call these ‘PrinciPILs’) with PILs that have not been developed with our principles. We will test whether PrinciPILs reduce nocebo effects and improve trial recruitment. Here we have described our plans to test the effect of PrinciPILs in a few trials.
Sections du résumé
Background
UNASSIGNED
The way potential benefits and harms of trial interventions are shared within patient information leaflets (PILs) varies widely and may cause unnecessary harms ("nocebo effects"). The aim of this meta-analysis will be to evaluate the influence on recruitment rates and early effects on patient reported adverse events of principled patient information leaflets (PrinciPILs) compared with standard PILs.
Methods
UNASSIGNED
Eligible studies will include those that report the effects on recruitment and patient reported adverse events of PrinciPILs compared to standard PILs. We will include in this meta-analysis all the standard PILs in studies within trials (SWATs) of PrinciPILs that were developed as part of the Medical Research Council (MRC) funded PrinciPIL project. By publishing this as a living meta-analysis, we will allow the meta-analysis to be updated with future SWATs of PrinciPILs. We will use the Cochrane Risk of Bias tool to evaluate the risk of bias for each outcome. We will report the total number of studies and participants analysed and the characteristics of included studies (including details of intervention, comparators, outcomes). For dichotomous data, we will calculate the risk difference and the risk ratio (RR) and 95% confidence intervals (CIs). For continuous outcomes we will use weighted mean differences with 95% CIs or standardized mean differences with 95% CIs. We will investigate heterogeneity by visually inspecting the forest plot and by considering the I
Discussion
UNASSIGNED
We will discuss the limitations of the meta-analysis including study risk of bias, inconsistency, heterogeneity, and imprecision. A general interpretation of the results and important implications will be provided.
People who take part in randomised trials need to understand the risks as well as the benefits of taking part. Most ‘patient information leaflets’ (PILs) that describe trial treatments include information about harms. Yet only some PILs contain information about potential benefits. This variation is confusing. Also, the over-emphasis on harms can cause “nocebo” effects, which are the harms caused by expecting something bad to happen. To solve these problems, we have developed seven principles that ensure that information about potential benefits and harms in PILs is balanced and consistent. We will now compare PILs that have been developed according to our principles (we call these ‘PrinciPILs’) with PILs that have not been developed with our principles. We will test whether PrinciPILs reduce nocebo effects and improve trial recruitment. Here we have described our plans to test the effect of PrinciPILs in a few trials.
Autres résumés
Type: plain-language-summary
(eng)
People who take part in randomised trials need to understand the risks as well as the benefits of taking part. Most ‘patient information leaflets’ (PILs) that describe trial treatments include information about harms. Yet only some PILs contain information about potential benefits. This variation is confusing. Also, the over-emphasis on harms can cause “nocebo” effects, which are the harms caused by expecting something bad to happen. To solve these problems, we have developed seven principles that ensure that information about potential benefits and harms in PILs is balanced and consistent. We will now compare PILs that have been developed according to our principles (we call these ‘PrinciPILs’) with PILs that have not been developed with our principles. We will test whether PrinciPILs reduce nocebo effects and improve trial recruitment. Here we have described our plans to test the effect of PrinciPILs in a few trials.
Identifiants
pubmed: 39139272
doi: 10.3310/nihropenres.13420.1
pmc: PMC11319896
doi:
Types de publication
Journal Article
Langues
eng
Pagination
29Informations de copyright
Copyright: © 2023 Howick J et al.
Déclaration de conflit d'intérêts
No competing interests were disclosed.