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Systematic Review

Why are feasibility studies accessing routinely collected health data? A systematic review

[version 1; peer review: awaiting peer review]
PUBLISHED 16 Aug 2021
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Abstract

Background: Feasibility trials are often undertaken to determine whether a larger randomised controlled trial (RCT) is achievable. In a recent review, 15 feasibility trials accessed routinely collected health data (RCHD) from UK national databases and registries. This paper looks at attributes of these trials and the reasons why they accessed RCHD. 
Methods: We extracted data from all publicly available sources for the 15 feasibility studies found in a previous review of trials successfully accessing RCHD in the UK between 2013–2018 for the purpose of informing or supplementing participant data. We extracted trial characteristics, the registry accessed, and the way the RCHD was used. 
Results: The 15 feasibility RCTs were conducted in a variety of disease areas, and were generally small (median sample size 100, range 41–4061) and individually randomised (60%, 9/15). The primary trial outcome was predominantly administrative (non-clinical) (80%, 12/15) such as feasibility of patient recruitment. They were more likely to recruit from secondary care (67%, 10/15) settings than primary (33%, 5/15). 
NHS Digital was the most commonly accessed registry (33% (5/15)) with SAIL databank (20% (3/15)), electronic Data Research and Innovation Service (eDRIS) and Paediatric Intensive Care Audit Network (PICANET) (each 13% 2/15) also being accessed. Where the information was clear, the trials used RCHD for data collection during the trial (47%, 7/15), follow-up after the trial (27%, 4/15) and recruitment (13%, 2/15). 
Conclusions: Between 2013 and 2018, 15 feasibility trials successfully accessed UK RCHD. Feasibility trials would benefit, as with other trials, from guidance on reporting the use of RCHD in protocols and publications.

Keywords

feasibility trial, pilot trial, systematic review, routinely-collected health data, registry, RCT, electronic health record

List of abbreviations

eDRIS - Data Research and Innovation Service

PICANET - Paediatric Intensive Care Audit Network

RCHD – routinely-collected health data

RCT – randomised controlled trial

UKCRC – UK Clinical Research Collaboration

Introduction

Feasibility trials are considered the best way to identify the practicability and achievability of a definitive (and expensive) randomised controlled trial (RCT).1,2 By asking the question ‘can this be done?’, conducting a feasibility trial before a main trial can help avoid research waste.1,3,4

Routinely collected health data (RCHD), are sought from national databases and registries to both supplement and replace data that would commonly be collected as part of traditional trial data collection.5,6

The trials community recognises considerable issues in accessing RCHD data for trials7 and we may anticipate that applicants would not seek to access RCHD for feasibility studies which, by nature, are small and short-term. Our recent review5 found about 1 in 10 applications for RCHD was for a feasibility study and therefore we determined to find out more about these studies.

Methods

Eligibility

Our systematic review5 (PROSPERO CRD42019123088), published in 2020, considered successful applications for routinely collected health data (such as NHS Digital) from publicly-accessible release registers. This identified 160 successful applications for RCHD relating to RCTs between 2013 and 2018. Eligibility for that review included RCHD being used for any of the following: (i) replacing conventionally collected trial data; (ii) cross-checking against existing trial data (including participant-reported data); (iii) cross-checking RCHD from different sources; (iv) prompt the trial team to further investigate a possible outcome measure or event; (v) cost-effectiveness analysis; and (vi) solely methodological purposes. Use of RCHD to evaluate the number of potential patients without using the RCHD for the purposes of recruitment was excluded. This was achieved by initially selecting every entry containing the following terms rand*, trial, RCT, study, placebo, phase. The resultant list was then screened independently by two people to achieve the final list of all RCTs. Any disagreements were resolved by discussion and re-checking.

The publicly available application summary for these 160 trials was hand-searched by two people and considered eligible for this review of feasibility studies if any of the following criteria were met: (i) included a description of a feasibility or pilot RCT in the study design, (ii) aimed to develop a full scale RCT following the conclusion of the feasibility trial, or (iii) included feasibility as a trial outcome. Again, at this stage, any disagreements were resolved by discussion and re-checking.

Data collection and analysis

The underpinning data extraction has been detailed previously.5 In summary, information was extracted from the publicly-accessible data release registers and any publicly available sources (trial websites, publications, trial registrations and protocols, last searched April 2020). Two authors independently extracted data onto a piloted data extraction form and any disagreements were resolved by discussion and re-checking. Trial teams were not contacted for information or clarification. Data collection included information about the RCT, the source of RCHD, and the way in which the data were used (e.g. linkage identifiers used, category of data use).

For each included feasibility trial, any previous access of RCHD prior to 2013 was also included. We extracted data about the trial, the RCHD source and the planned use of the RCHD.

For these feasibility trials we also collected the wording used to describe the use of RCHD in publicly available trial protocols, websites, publications and registrations (Last checked April 2020).

The dataset was stored and analysed descriptively in Microsoft Excel (2016).

Patient and public involvement

There was no patient and public involvement in this review.

Results

The PRISMA flowchart is given in Figure 1.

23adf242-f01a-40b1-b7f6-0c2589add8d2_figure1.gif

Figure 1. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart.

RCT characteristics

The search and extraction of data for feasibility trials was conducted between November 2019 and April 2020 and the data set is available from the UCL Research Data repository.8 The characteristics of the 15/160 (9%) feasibility trials that accessed RCHD are shown in Table 1. Feasibility studies were generally small (median sample size 100, range 41-4061 participants). All 15 (100%) had, by the data freeze, completed recruitment and follow-up. The majority (9/15, 60%) were individually randomised trials; the remainder (6/15, 40%) were cluster randomised. The main disease category was mental health (4/15, 27%) followed by cardiovascular, infection and stroke (each 3/15, 20%). RCT intervention was often compared to standard-of-care (13/15, 87%), with only 2/15 (13%) to be assessed against a placebo-based control. The majority of interventions in these trials were a change to patient management (10/15, 67%). For example, direct transport to specialist centres rather than Accident & Emergency services or providing paramedics with additional training. 12/15 (80%) trials had an administrative, non-clinical primary outcome measure (e.g. can the trial team recruit 60 patients in one year); the other 3/15 (20%) had a clinical primary outcome measure. All trials recruited only in the UK. Most were coordinated through a UK Clinical Research Collaboration (UKCRC) Registered Clinical Trials Unit (9/15, 60%) and were predominantly open label (9/15, 60%). More trials recruited in secondary care (10/15, 67%) than primary care (5/15, 33%).

Table 1. Characteristics of feasibility RCTs receiving RCHD during 2013-2018.

Feasibility trials successfully accessing UK RCHD
2013-2018
Other trials successfully accessing UK RCHD
2013-2018
N%N%
N15145
UK based1510011177
Trial completed15100*9062
Randomisation
Individually randomised
Cluster randomised

9
6

60
40

126
19

87
13
Intervention
Treatment
 Drug
 Other
Primary prevention
Screening

12
3
9
2
1

80
20
60
13
7

104
73
31
26
15

72
50
22
18
10
Masking
Open
Research staff only
Participant only
Research staff and participant

9
3
2
1

60
20
13
7

104
9
2
30

72
6
1
21
Coordination
Registered CTU
Non-registered CTU
Unclear

9
5
1

60
33
7

94
17
34

65
12
23
Recruitment setting
Primary care
Secondary care

5
10

33
67

36
109

25
75
Disease category
Mental health
Cardiovascular and stroke
Infection
Cancer
Other

4
3
3
1
4

27
20
20
7
27

8
43
5
46
43

6
30
3
32
30
Comparison
Standard of care
Placebo

13
2

87
13

125
20

86
14
Primary outcome
Administrative
 Feasibility
 Non-feasibility
Clinical

12
11
1
3

80
73
7
20

0
145

0
100
Trial size Median (range)100 (41-4061)2141 (60-6,000,000)
Number of years recruiting (median)14

* 10/15 completed at the time of the original review.

RCHD access and use

The most commonly accessed data sources were NHS Digital (5/15,33%), SAIL databank (3/15, 20%), electronic Data Research and Innovation Service (eDRIS, formerly called ISD) (2/15, 13%) and Paediatric Intensive Care Audit Network (PICANET) (2/15, 13%) (Table 2), with each trial only accessing one source. Data collected from RCHD application logs indicated that the most common reasons for requesting RCHD were for data collection during the feasibility trial period (7/15, 47%), follow-up after the feasibility trial period (4/15, 27%), and recruitment (2/15, 13%) with 2/15 (13%) not clearly stating the reason (Table 2).

Table 2. Registries used by feasibility RCTs and reason for RCHD use.

RecruitmentFollow-upData collection*Unclearn%
ISD/eDRIS11213%
NHFD117%
NHS-D/HSCIC41533%
NNRD at NDAU117%
PICANET2213%
SAIL3320%
TARN117%
n247215
%13%27%47%13%100%

* Three specifically adverse events (3/15 = 20%).

In some instances, the planned use of RCHD in the trial release register was inconsistent with information gathered from publicly available sources, such as protocols, publications and trial websites. Of the 15 trials, 40% (6/15) had the same RCHD use stated in publicly-available literature and the RCHD release register, for 3/15 (20%) the uses in both sources had some overlap (i.e. the use was similar but not the same) and for 6/15 (40%) the uses for the RCHD were disparate (Table 3). For 2/6 trials with consistent stated use, RCHD use was unclear in both the application and the publicly available literature, with the latter not mentioning the use of RCHD. In those with overlap, the trial documentation was more explicit than the release register. One trial for example had stated in the release register that RCHD would be used for ‘data collection’. In the trial protocol however, RCHD use was described as: “Primary outcome measure: (…) this will be measured using routinely collected NHS data. The Hospital Episode Statistics (HES) system provides a central record of an individual’s use of all emergency departments in England and data will be extracted from this system (using participants’ NHS numbers) to provide information on individual participants’ use of emergency departments at baseline and over the 12 months of follow-up”. This is more specific than claimed in the release register. Out of the six trials for which the stated uses in the RCHD release register and publicly available literature were disparate, one trial had stated in the release register that RCHD would be accessed for adverse events whereas RCHD was accessed specifically for “Hospital attendances, cancer diagnoses and deaths”.

Table 3. Reasons for RCHD access from publicly available documentation and registry access log.

Consistency of reason for RCHD accessReason for RCHD access, collected from publically available documentationReason for RCHD access on registry access log
ConsistentUnclearUnclear
UnclearUnclear
RecruitmentRecruitment
RecruitmentRecruitment
Data collectionData collection
Data collectionData collection
OverlapFollow-up, hospital admissions and mortalityFollow up
Primary outcome dataData collection
Hospital admission and mortalityFollow up
DisparateCancer and deathAdverse Events
Hospital attendances, cancer diagnoses and deathsAdverse Events
Service use data e.g. hospital attendanceAdverse Events
Full trial dataFollow up
Hospital care dataFollow up
UnclearData collection

Discussion

Of the 160 trials previously identified as successfully accessing RCHD from UK registries between 2013-2018, 9% (15/160) were feasibility trials. Of these, 73% (11/15) had a primary aim of feasibility. As far as we are aware, this is the first report to describe the use of RCHD in feasibility trials.

On application, the reasons for requesting RCHD were data collection (47%, 7/15), follow-up (27%, 4/15) and recruitment (13%, 2/15), with the remaining two (13%, 2/15) not giving a clear reason. These are varied reasons.

Data collected from the registry applications was inconsistent with the wording found in publicly available documentation. Apart from guidance on the definition of feasibility studies, there needs to be clearer guidance on reporting the use of RCHD in trial protocols and publications. As per previous publications,9 trial management details are often not included in papers. SPIRIT guidelines, section 18a, “Plans for assessment and collection of outcome, baseline, and other trial data” indicates this information should be in protocols; CONSORT guidelines 2010, section 4b “Settings and locations where the data were collected” indicates it should be in publications.

This study has several limitations. The scope of this review is restricted to registries in the UK, and captured trials accessing RCHD during a relatively short window (2013–2018). Local datasets could have been requested which were not part of the underpinning review. There may be future value in interviewing the trial teams about their experiences accessing and using RCHD, since the information available from publicly accessible data release requests was limited. The data used to inform this review was collected from a variety of sources in order to provide a comprehensive picture of the use of RCHD by included trials, however it remains possible we missed relevant sources. We aimed to include feasibility trials in this review and included trials that indicated that they were feasibility trials (and for which no information to contradict this was identified). However, it is possible that researchers conducting small trials refer to these as feasibility studies, despite not aiming to generate feasibility information per se; by definition, feasibility trials should only be started with the aim of getting information for a follow-on larger trial.1 For example, one trial expressed the sentiment that it would be valuable to conduct a larger trial, suggesting feasibility may not have been the original plan.

Conclusion

Between 2013 and 2018, 15 feasibility trials in the UK successfully accessed RCHD for reasons other than solely participant recruitment. As with other trials, feasibility trials would benefit from guidance on specifying the use of RCHD in protocols and publications.

Data availability

Underlying data

UCL Research Data: Underlying data for ‘Why are feasibility studies accessing routinely collected health data? A systematic review’, https://doi.org/10.5522/04/14743836.v1.8

This project contains the following underlying data:

  • Data file 1: Feasibility trials using electronic health data from registries.

Reporting guidelines

UCL Research data: PRISMA checklist and flow diagram for ‘Why are feasibility studies accessing routinely collected health data? A systematic review’, https://doi.org/10.5522/04/14743836.v1.8

Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

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Mirza A, Yorke-Edwards V, Lensen S et al. Why are feasibility studies accessing routinely collected health data? A systematic review [version 1; peer review: awaiting peer review]. F1000Research 2021, 10:815 (https://doi.org/10.12688/f1000research.52486.1)
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Alongside their report, reviewers assign a status to the article:
Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested
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Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions
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