Keywords
patient and public involvement, trial methodology, neonatal care, maternal care, clinical trials, GRIPP2
This article is included in the HRB-TMRN gateway.
patient and public involvement, trial methodology, neonatal care, maternal care, clinical trials, GRIPP2
‘Patient and public involvement’ (PPI) is defined as research being conducted with and by patients or members of the public, as opposed to research being solely conducted on these groups (Dudley et al., 2015b; Staley, 2009). The terminology of ‘PPI’ varies across countries, sometimes being referred to, for example, as ‘consumer engagement’ or ‘public participation’ (Dudley et al., 2015a; Molloy et al., 2019).
The inclusion of PPI in research is advocated for on pragmatic and ethical grounds (Bagley et al., 2016); pragmatically in that PPI has the potential to produce more relevant research (Bagley et al., 2016) and ethically by the belief that those affected by a condition or disease should be involved in research that impacts them (Crocker et al., 2015). Involving patients, their families, or other members of the public, can help identify critical gaps in the research (EFCNI, 2017), leading to improvements in what type of research is conducted and how.
While PPI is increasingly encouraged by health research funders (Dudley et al., 2015b; HRB, 2022), discrepancies can arise between the PPI activities detailed within funding applications and its actual implementation (Buck et al., 2014). Involvement can be tokenistic, particularly if PPI inclusion is viewed solely as a means to secure grant funding (Dudley et al., 2015b).
This qualitative evidence synthesis (QES) is being conducted as part of a doctoral study on PPI activity within maternal and neonatal clinical trials. While studies have been conducted on public contributors’ and researchers’ experiences of PPI within clinical trials (Selman et al., 2021; South et al., 2016), to our knowledge, a QES specifically on stakeholders’ perspectives of PPI within maternal or neonatal clinical trials has not been conducted. The objective of this QES is to synthesise the evidence of stakeholders’ perceptions of PPI in maternal and neonatal clinical trials.
The SPIDER tool was used to define the inclusion criteria for this QES (Cooke et al., 2012).
- Sample: Stakeholders in maternal or neonatal clinical trials who have experience of PPI or have expressed their views on PPI. These may include, although not necessarily limited to, trial participants, PPI contributors, and any member of the trial research team (e.g., principal investigators, research midwives/nurses, trial managers, and statisticians).
- Phenomenon of Interest: PPI recruitment and PPI activity at any stage of a maternal or neonatal clinical trial.
- Design: Published and unpublished primary qualitative research of any design.
- Evaluation: Themes representative of stakeholders’ perceptions and experiences of PPI in maternal and neonatal clinical trials.
- Research type: Qualitative research and mixed-methods research where qualitative data can be extracted separately for analysis, quantitative surveys with qualitative open-ended questions and data that can be extracted independently and that have been thematically analysed.
For this QES, clinical trials are, as defined by the World Health Organization (WHO), ‘any research study that prospectively assigns human participants or groups of humans to one or more health-related interventions to evaluate the effects on health outcomes’ (WHO, 2023). Maternal clinical trials are defined as clinical trials in maternal health, involving trial participants at any stage of pregnancy and up to 6 weeks postpartum. Neonatal trials are defined as clinical trials conducted with neonates during the first 28 days of life. ‘PPI contributor’ refers to a patient or lay individual who is involved at any stage of the trial process, from trial conception to trial dissemination.
With the assistance of a subject librarian, a search strategy of index terms and keywords was developed from two key concepts; clinical trials in maternal and neonatal health, and patient and public involvement (Table 1). The electronic bibliographic databases CINAHL, MEDLINE, PsycINFO, EMBASE, Web of Science, and Maternity and Infant Care (OVID) will be searched, with the search terms adapted for each database. Grey literature sources, such as GreyNet, will also be searched.
No restrictions on language or date will be applied; that is the databases will be searched from their date of inception to the date of the search. Although studies in any language will be included in the search, only English language studies will be included in the QES. Searching all languages, however, will enable the reviewers to determine how many studies may be excluded based on language, and thus assess the extent of language bias as a potential limitation of the QES.
All retrieved citations will be exported to Endnote (version 20.5) where duplicates will be removed before the citations are transferred to Covidence for screening. Screening will take place in two stages; title and abstract screening, and full text review. First, title and abstracts will be screened against the inclusion criteria by one reviewer (KH). A second reviewer (VS or DD) will screen 20% of the records on title and abstract, and the reviewers’ assessments will be cross-checked for congruency. If reviewer congruency is <80%, based on AMSTAR 2’s recommendation that at least 80% agreement should be achieved (Shea et al., 2007), all citations will be screened independently by two reviewers. Full text of records will be sourced and each record will be screened for inclusion/exclusion by at least two reviewers working independently. Any disagreements will be resolved through discussion until consensus is achieved. A record will be retained of reasons for exclusion of papers at full text review and reported in the final QES in a PRISMA flow diagram (Page et al., 2021).
One reviewer will extract data from all included studies, which a second reviewer will corroborate. A purposively designed data extraction form will be developed. Data extracted will include study design, aim of study, location and setting, year study was conducted, participant demographics, information on PPI and impact on trial design and outcomes (as described by stakeholders), and findings of experiences and views of PPI.
A thematic analysis will be undertaken, following the approach described by Thomas and Harden (2008) unless another method is more appropriate once the raw data have been assessed. This approach will involve generating codes from study findings (i.e., authors’ interpretations and study participant verbatim quotes) extracted from the included studies. These codes will then be grouped into descriptive categories, followed by the researchers generating new analytical themes from these descriptive categories (Thomas & Harden, 2008). In order to enhance the trustworthiness of the findings (Barrett et al., 2020), a reflexive approach will be undertaken throughout this QES. Research diaries will be used to document the process and formation of themes, as well as regular discussions between all three reviewers.
The twelve-item assessment criteria checklist by Thomas et al. (2003) will be used to assess the methodological quality of the included studies. The tool is widely used for assessing the methodological quality of qualitative research. Two reviewers will independently assess the quality of each included study. Consensus will be reached through discussion or through assessment by a third reviewer, if required. Studies will not be excluded from the review based on judgements of low methodological quality, rather this information will be reported in the findings and highlighted in the discussion, as appropriate.
In addition to a quality assessment, the GRIPP2 short form checklist (GRIPP2-SF) will be utilised to evaluate the reporting of PPI in included studies (Staniszewska et al., 2017). The GRIPP2 checklists, available in both long- and short-form versions, were developed to strengthen the quality of PPI reporting (Staniszewska et al., 2017).
The GRADE-CERQual (Confidence in the Evidence from Review of Qualitative Research) assessment will be used to assess and summarise confidence in the review findings (Lewin et al., 2018).
The protocol has been registered on PROSPERO, and the search strategy developed (Table 1). The search strategy will be implemented on publication and approval of this protocol.
To our knowledge, this is the first QES on stakeholders’ experiences and perceptions of PPI within clinical trials in neonatal and maternal healthcare.
Open Science Framework: Stakeholder’s perspectives and experiences of patient and public involvement (PPI) in clinical trials in maternal and neonatal healthcare: protocol for a qualitative evidence synthesis
https://doi.org/10.17605/OSF.IO/RD7XH (Hannon et al., 2023)
This project contains the following underlying data:
Open Science Framework: PRISMA-P checklist for ‘Stakeholder’s perspectives and experiences of patient and public involvement (PPI) in clinical trials in maternal and neonatal healthcare: protocol for a qualitative evidence synthesis’. https://doi.org/10.17605/OSF.IO/RD7XH (Hannon et al., 2023)
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
Endnote and Covidence are proprietary software. Alternative software that can be used includes Zotero for reference management include and Rayyan for conducting literature and systematic reviews.
We would like to thank Dr Katie Gillies and Dr Linda Biesty for reviewing this protocol before submission for publication.
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: PPI and research synthesis methodology
Is the rationale for, and objectives of, the study clearly described?
Yes
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Not applicable
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: Maternal nutrition and health, including PPI with service users and midwives.
Alongside their report, reviewers assign a status to the article:
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