Original ArticleUnderstanding the applicability of results from primary care trials: lessons learned from applying PRECIS-2
Introduction
Many randomized controlled trials (RCTs) are carried out with the aim of informing health professionals, patients, and policy makers about whether an intervention should be adopted in practice. To facilitate this, it is recommended that trials taking a pragmatic design approach are carried out, testing the intervention under conditions as similar as possible to the conditions that would pertain if the intervention was rolled out in routine care [1], [2], [3], [4], [5], [6]. It may be that the intervention itself alters or replaces some aspects of usual care, but the principle remains that if the purpose of the trial is to directly inform clinical practice, aside from the intervention itself, other aspects of care should be as they usually would be in the real world. For brevity, we refer to these types of conditions as “usual care.” Recently, there has been a growing interest in the benefits from more pragmatic designs. This has led to the publication of literature on how to design and conduct pragmatic trials [7], [8], [9], [10], [11], the latest of these developments, PRECIS-2 allows researchers to plot a graph illustrating whether their design is more or less pragmatic across a number of domains.
PRECIS-2 is an updated version of PRECIS [9] with significant changes including revisions to the domains, the addition of a Likert scoring scale and a web site which can be used to support use of the tool (https://precis-2.org). PRECIS-2 (Fig. 1) has nine domains covering different aspects of a trial: eligibility, recruitment, setting, organization, flexibility of delivery, flexibility of adherence, follow-up, primary outcome, and primary analysis [12]. To apply PRECIS-2, each domain is scored from one to five—a score of one indicates an explanatory design with highly controlled or ideal conditions for the intervention and a score of five indicates a very pragmatic design, replicating usual care conditions for that domain. The tool was developed to be used at the design stage so that if the tool highlights that a trial design does not match the investigators' aims, they may choose to modify the design or reasons for the design may become more transparent. The tool can, however, also be used retrospectively as part as a critical appraisal of the generalizability of results from a trial or to illustrate a trial design to those using results.
Investigators who used the original PRECIS either discussed PRECIS wheels as a group to come to some consensus [13], [14], [15], [16], [17], [18] or used independent scoring by different team members [19], [20], [21]. Challenges in applying the tool were reported both by investigators who discussed PRECIS wheels and those that did not hold a discussion. The approach we used to apply PRECIS-2 was informed by this work [13], [14], [15], [16], [17], [18], [19], [20], [21]. In the earlier studies applying the original PRECIS, the tool was applied both in the design phase, as the authors intended PRECIS to be used, and also to trials which were already completed. Similarly, in the work described here, we consider trials at all stages in design.
Our primary aim in this work was to inform investigators how best to use the tool regardless of whether it was to be used for design or retrospectively. We were particularly interested in doing so for trials at the pragmatic end of the pragmatic–explanatory spectrum for which PRECIS-2 was designed and in exploring the difference between using the tool with and without discussion between group members.
Section snippets
Methods
We invited trial teams carrying out trials in collaboration with the Pragmatic Clinical Trials Unit (PCTU) at Queen Mary University of London to partake in this study. To identify trials at the pragmatic end of the pragmatic–explanatory spectrum, we focused on trials in primary care (generally considered more pragmatic than trials in other settings [22]). We invited all trial teams that had recently completed their trial, were in the process of running their trial, or were working toward
Results
We invited 10 trial teams working on trials supported by the PCTU to participate in the study and seven agreed to take part. The three trials that declined to take part all did so due to lack of availability of the trial team during the study period. The seven trials are described in Table 1. All seven trials aimed to answer the question of whether the intervention of interest would work in practice and the chief investigators considered their designs to be pragmatic.
The PRECIS-2 wheels (Fig. 2
Discussion
We produced PRECIS-2 wheels for seven pragmatic trials of interventions in primary care. Most domains for each trial were scored by the teams as pragmatic indicating that the designs were appropriate to answer questions about the effectiveness of the interventions. Two domains, recruitment and organization stood out as being rated as less pragmatic across four of the seven trials. This indicated that steps to recruit in these trials could impact on the applicability of their results and that
Conclusions
Discussing PRECIS-2 wheels facilitated an exchange of information between different members of the trial team. It also highlighted two areas, recruitment and the level of resources used to deliver the intervention, where design decisions may be impacting the applicability of results of trials from the PCTU, and it focused discussions around generalizability. When considering cluster-randomized trials or other more complex trial designs, greater insight may be gained from plotting more than one
References (28)
External validity of randomised controlled trials: “to whom do the results of this trial apply?”
Lancet
(2005)- et al.
A simple and valid tool distinguished efficacy from effectiveness studies
J Clin Epidemiol
(2006) - et al.
A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers
J Clin Epidemiol
(2009) - et al.
The Pragmatic-Explanatory Continuum Indicator Summary (PRECIS) instrument was useful for refining a randomized trial design: experiences from an investigative team
J Clin Epidemiol
(2010) - et al.
Pragmatic vs. explanatory: an adaptation of the PRECIS tool helps to judge the applicability of systematic reviews for daily practice
J Clin Epidemiol
(2011) - et al.
Promotion of rapid testing for HIV in primary care (RHIVA2): a cluster-randomised controlled trial
Lancet HIV
(2015) - et al.
Intermittent montelukast in children aged 10 months to 5 years with wheeze (WAIT trial): a multicentre, randomised, placebo-controlled trial
Lancet Respir Med
(2014) - et al.
Making trials matter: pragmatic and explanatory trials and the problem of applicability
Trials
(2009) - et al.
The role for pragmatic randomized controlled trials (pRCTs) in comparative effectiveness research
Clin Trials
(2012) - et al.
Practical clinical trials: increasing the value of clinical research for decision making in clinical and health policy
JAMA
(2003)
Developing robust, sustainable, implementation systems using rigorous, rapid and relevant science
Clin Transl Sci
What kind of randomised trials do patients and clinicians need?
Evid Based Med
Pragmatic trials
N Engl J Med
Improving the reporting of pragmatic trials: an extension of the CONSORT statement
BMJ
Cited by (19)
Design characteristics of comparative effectiveness trials for the relief of symptomatic dyspepsia: A systematic review
2021, Integrative Medicine ResearchCitation Excerpt :In contrast, the PRECIS-2 domains; `eligibility’ (score = 2.33), `flexibility in adherence’ (score = 2.65), `organization’ (score = 2.82) and `flexibility in delivery’ (score = 2.97) were aligned to an explanatory research design.26 An explanatory design will often select for ideal patients, is highly controlled for an intervention,71,72 and will generally require more resources than usual care. A score of 3.0 is considered an equally pragmatic and explanatory score.26,27
How Pragmatic are Trials in Nursing Home Settings?
2020, Journal of the American Medical Directors AssociationThe design can limit PRECIS-2 retrospective assessment of the clinical trial explanatory/pragmatic features
2020, Journal of Clinical EpidemiologyA search filter to identify pragmatic trials in MEDLINE was highly specific but lacked sensitivity
2020, Journal of Clinical EpidemiologyCitation Excerpt :The PRECIS-2 tool was developed to be used prospectively by trial design teams to help ensure that their design decisions match the intended purpose for the trial—it was not intended as a tool to be used by outsiders in retrospectively classifying trials [9]. Retrospective application of PRECIS-2 scores relying purely on information in the trial report is likely to be time-consuming and inaccurate: others who have attempted to score trials retrospectively have reported challenges in the reliability of the scoring due to poor or insufficient reporting or due to insufficient knowledge of usual care [26–29]. The sensitivity of our developed search filter decreased in the external validation step; this decrease is to be expected.
The OaSiS trial: A hybrid type II, national cluster randomized trial to implement smoking cessation during CT screening for lung cancer
2020, Contemporary Clinical TrialsCitation Excerpt :The follow-up interview will also focus on sustainability of the strategies following the completion of the OaSiS trial and the critical features that were needed to ensure their long-term embeddedness within the imaging clinic. Our multidisciplinary team (including 4 physicians and 4 social and behavioral scientists) independently completed the PRECIS-2 evaluation to assess the pragmatic nature of the trial in nine domains: eligibility (who is selected to participate in the trial), recruitment (how are participants recruited), setting (where is the trial being done), organization (what expertise and resources are needed to deliver the intervention, flexibility in delivery (how should the intervention be delivered, flexibility in adherence (what measures are in place to ensure participants adhere to the intervention), follow-up (how closely are participants followed), primary outcome (how relevant is it to the participants) and primary analysis [24–27](to what extent are all data included). Each domain was evaluated on a 1 (very explanatory) to 5 (very pragmatic) Likert scale and from the perspective of the imaging clinic and patient participant.
Use of the PRECIS-II instrument to categorize reports along the efficacy-effectiveness spectrum in an hepatitis C virus care continuum systematic review and meta-analysis
2018, Journal of Clinical EpidemiologyCitation Excerpt :Although primarily intended to assist in study design, the PRECIS-II instrument was also applied to several trials post hoc to assess for the degree of efficacy or effectiveness of the study trial in the primary PRECIS-II publication [2]. Furthermore, while the PRECIS instruments (both the initially proposed PRECIS instrument and the subsequently revised PRECIS-II) have been mainly applied to randomized controlled trials, these instruments are being increasingly applied to a wider range of studies (including cluster-randomized trials, trials with factorial designs, and observational studies) [32–34]. In systematic reviews and meta-analyses, sound syntheses and pooled effect size estimates must come from data from studies examining the same phenomenon and analyzing data in statistically analogous ways.
Funding: Some of the work described was part of Chief Scientist Office (CSO) grant CZH/4/773 and UK Medical Research Council and the University of Dundee through the provision of a PhD stipend for Kirsty Loudon, the University of Stirling and from the Health Services Research Unit at the University of Aberdeen, Nursing Midwifery Allied Health Professionals Research Unit at the University of Stirling which are both core funded by the CSO of the Scottish Government Health Directories. S.T. was (in part) supported by the National Institute for Health Research (NIHR) Collaboration for Leadership in Applied Health Research and Care (CLAHRC) North Thames at Bart's Health NHS Trust. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.
Conflict of interest: None.