Anna Kearney1, Polly-Anna Ashford2, Laura Butlin3, Thomas Conway4, William J Cragg5, Declan Devane6,7, Heidi Gardner8, Daisy M Gaunt9, Katie Gillies8, Nicola L Harman1, Andrew Hunter7, Athene J Lane9, Catherine McWilliams1, Louise Murphy10, Carrie O'Nions1, Edward N Stanhope11,12, Akke Vellinga13, Paula R Williamson1, Carrol Gamble14. 1. Health Data Science, University of Liverpool, Liverpool, UK. 2. Norwich Clinical Trials Unit, University of East Anglia, Norwich, UK. 3. Centre for Trials Research, Cardiff University, Cardiff, UK. 4. HRB-Trials Methodology Research Network and Evidence Synthesis Ireland. 5. Clinical Trials Research Unit, Leeds Institute of Clinical Trials Research, University of Leeds, Leeds, UK. 6. HRB-Trials Methodology Research Network, School of Nursing and Midwifery, NUI Galway, Galway, Ireland. 7. School of Nursing and Midwifery, National University of Ireland Galway, Galway, Ireland. 8. Health Services Research Unit, University of Aberdeen, Aberdeen, UK. 9. Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK. 10. National University of Ireland Galway, Galway, Ireland. 11. University College Birmingham, Birmingham, UK. 12. Staffordshire University, Stoke-on-Trent, UK. 13. School of Medicine, National University of Ireland Galway, Galway, Ireland. 14. Liverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
Abstract
BACKGROUND: Addressing recruitment and retention challenges in trials is a key priority for methods research, but navigating the literature is difficult and time-consuming. In 2016, ORRCA (www.orrca.org.uk) launched a free, searchable database of recruitment research that has been widely accessed and used to support the update of systematic reviews and the selection of recruitment strategies for clinical trials. ORRCA2 aims to create a similar database to map the growing volume and importance of retention research. METHODS: Searches of Medline (Ovid), CINAHL, PsycINFO, Scopus, Web of Science Core Collection and the Cochrane Library, restricted to English language and publications up to the end of 2017. Hand searches of key systematic reviews were undertaken and randomised evaluations of recruitment interventions within the ORRCA database on 1 October 2020 were also reviewed for any secondary retention outcomes. Records were screened by title and abstract before obtaining the full text of potentially relevant articles. Studies reporting or evaluating strategies, methods and study designs to improve retention within healthcare research were eligible. Case reports describing retention challenges or successes and studies evaluating participant reported reasons for withdrawal or losses were also included. Studies assessing adherence to treatments, attendance at appointments outside of research and statistical analysis methods for missing data were excluded. Eligible articles were categorised into one of the following evidence types: randomised evaluations, non-randomised evaluations, application of retention strategies without evaluation and observations of factors affecting retention. Articles were also mapped against a retention domain framework. Additional data were extracted on research outcomes, methods and host study context. RESULTS: Of the 72,904 abstracts screened, 4,364 full texts were obtained, and 1,167 articles were eligible. Of these, 165 (14%) were randomised evaluations, 99 (8%) non-randomised evaluations, 319 (27%) strategies without evaluation and 584 (50%) observations of factors affecting retention. Eighty-four percent (n = 979) of studies assessed the numbers of participants retained, 27% (n = 317) assessed demographic differences between retained and lost participants, while only 4% (n = 44) assessed the cost of retention strategies. The most frequently reported domains within the 165 studies categorised as 'randomised evaluations of retention strategies' were participant monetary incentives (32%), participant reminders and prompts (30%), questionnaire design (30%) and data collection location and method (26%). CONCLUSION: ORRCA2 builds on the success of ORRCA extending the database to organise the growing volume of retention research. Less than 15% of articles were randomised evaluations of retention strategies. Mapping of the literature highlights several areas for future research such as the role of research sites, clinical staff and study design in enhancing retention. Future studies should also include cost-benefit analysis of retention strategies.
BACKGROUND: Addressing recruitment and retention challenges in trials is a key priority for methods research, but navigating the literature is difficult and time-consuming. In 2016, ORRCA (www.orrca.org.uk) launched a free, searchable database of recruitment research that has been widely accessed and used to support the update of systematic reviews and the selection of recruitment strategies for clinical trials. ORRCA2 aims to create a similar database to map the growing volume and importance of retention research. METHODS: Searches of Medline (Ovid), CINAHL, PsycINFO, Scopus, Web of Science Core Collection and the Cochrane Library, restricted to English language and publications up to the end of 2017. Hand searches of key systematic reviews were undertaken and randomised evaluations of recruitment interventions within the ORRCA database on 1 October 2020 were also reviewed for any secondary retention outcomes. Records were screened by title and abstract before obtaining the full text of potentially relevant articles. Studies reporting or evaluating strategies, methods and study designs to improve retention within healthcare research were eligible. Case reports describing retention challenges or successes and studies evaluating participant reported reasons for withdrawal or losses were also included. Studies assessing adherence to treatments, attendance at appointments outside of research and statistical analysis methods for missing data were excluded. Eligible articles were categorised into one of the following evidence types: randomised evaluations, non-randomised evaluations, application of retention strategies without evaluation and observations of factors affecting retention. Articles were also mapped against a retention domain framework. Additional data were extracted on research outcomes, methods and host study context. RESULTS: Of the 72,904 abstracts screened, 4,364 full texts were obtained, and 1,167 articles were eligible. Of these, 165 (14%) were randomised evaluations, 99 (8%) non-randomised evaluations, 319 (27%) strategies without evaluation and 584 (50%) observations of factors affecting retention. Eighty-four percent (n = 979) of studies assessed the numbers of participants retained, 27% (n = 317) assessed demographic differences between retained and lost participants, while only 4% (n = 44) assessed the cost of retention strategies. The most frequently reported domains within the 165 studies categorised as 'randomised evaluations of retention strategies' were participant monetary incentives (32%), participant reminders and prompts (30%), questionnaire design (30%) and data collection location and method (26%). CONCLUSION: ORRCA2 builds on the success of ORRCA extending the database to organise the growing volume of retention research. Less than 15% of articles were randomised evaluations of retention strategies. Mapping of the literature highlights several areas for future research such as the role of research sites, clinical staff and study design in enhancing retention. Future studies should also include cost-benefit analysis of retention strategies.
Entities:
Keywords:
Participant retention; attrition; clinical trials; literature review; trials methodology
The recruitment and retention of participants are key challenges for conducting
clinical trials, leading to a significant waste of research resources and funding.
Participant retention is defined as all randomised participants continuing in
the study and providing outcome data until the end of the study. While meeting
recruitment targets is often a key concern for trials, funders and governing bodies,
these efforts are wasted if participants are not subsequently retained and do
not contribute outcome data for the analysis. Failing to retain participants may be
more damaging than failing to recruit them in the first place due to the potential
for biased estimates of treatment effect if losses are unbalanced between arms or
are associated with the outcome being measured.Several studies have tried to estimate the extent of retention problems through
analysis of levels of missing data reported in publications. Approximately
81%–95%[4-6] of trials
report some level of participant attrition and missing data. Across different
cohorts of publications, median levels of missing data vary between 6% and
12%[4-9] of all randomised participants
within a trial. However, levels vary substantially with some trials reporting
upwards of 55%.[5,7-9] Reporting of retention is also
acknowledged to be suboptimal, suggesting that the problem may be much
greater.[10-13]While statistical tools exist to handle missing data, these rely on assumptions about
the nature and pattern of the missingness.
Consequently, there is often debate about the most appropriate
method[5,6]
and the subsequent validity of the estimated treatment effect.
Prevention is better than cure. As recommended by the US Food and Drug
Administration (FDA) and European Medicines Agency (EMA), the need for statistical
techniques should be minimised by embedding strategies within the trial design to
improve participant retention and maximise data collection.
However, there is a paucity of evidence to support the selection and use of
such strategies. Systematic reviews of randomised and non-randomised evaluations of
retention interventions identified several studies aimed at improving questionnaire
return but few addressing other causes of attrition[15,16] such as failure of
participants to attend study visits where data are collected. Similarly, many
retention strategies regularly used by UK Clinical Research Collaboration (UKCRC)
Registered Clinical Trial Unit Network had no known evidence to show their effectiveness.Evidence-based trial design and conduct and the trials methodology research
underpinning it are essential for minimising research waste. In 2014, addressing
recruitment and retention challenges was identified as a top methodological research priority,
adding further momentum to the exponential growth of published literature in
these areas.
However, identifying relevant literature through search engines can be
difficult and time-consuming, especially for those seeking to identify solutions for
a specific participant demographic or trial design.ORRCA (Online Resource for Research in Clinical triAls, www.orrca.org.uk), a free online
and searchable database of recruitment research, was created in 2016
to help trialists and methodologists quickly identify relevant literature.
The database is updated regularly and has been accessed by users from across the
world and has supported trial development and the update and delivery of
methodological systematic reviews.[20-23] However, no such resource
exists for quickly and easily accessing retention research.In this article, we aim to describe the methods used to develop a database of
retention research and present a mapping of the literature to identify effective
retention strategies and areas for future research.
Methods
Search strategies and identification of the literature
The search strategy aimed to identify peer-reviewed research relevant to
retention within randomised controlled trials (RCTs). The search strategy used
in the Cochrane Methodology Review of retention interventions
was adapted incorporating elements from a similar review[16,24] and
additional terms for specific retention strategies beyond questionnaire return.
The search strategy comprised two components, terms relating to retention and
retention strategies and RCT terms.The strategy was tested against a selection of key papers provided by the
advisory team before being adapted for use with Medline (Ovid) (1946–2017),
CINAHL (EBSCO) (1937–2017), PsycINFO (EBSCO) (1806–2017), Scopus (to 2017), Web
of Science Core Collection (SCI-expanded, SSCI, CPCI-S, CPCI-SSH, ESCI)
(1900–2017) and the Cochrane library (CENTRAL) (to 2017) (Supplementary File 1). Search strategies were run between 15 and
27 November 2018. Where individual search engines allowed, the strategy was
restricted to the English language. Searches were limited to publications up to
the end of 2017 to create a clear demarcation for future updates.Additional references were identified through hand searching key systematic
reviews (Supplementary File 1). A search of the randomised evaluations of
recruitment interventions available in ORRCA on the 1 October 2020 was also
undertaken to identify any studies published before 2018 that assessed retention
as a secondary outcome. We did not aim to identify grey literature within this
iteration due to the anticipated volume of published literature.
Inclusion and exclusion criteria
Systematic methods were used to develop a comprehensive database of all retention
research relevant to RCTs. Studies describing or evaluating activities, study
designs or interventions aimed at addressing retention within health research
studies were included. Search strategies were designed to focus on retention
within host studies classed as RCTs. However, articles reporting retention
within other health research designs such as cohort studies, longitudinal
surveys and non-randomised pilot studies that were returned by the searches were
included as sources of transferable knowledge and ideas.For this research, all studies were eligible regardless of their retention rates.
Retention at a participant level is defined as continuation in the study and
providing data for the required outcomes.The following topics were outside of the scope of this review:Adherence to clinical treatments or research interventions,Attendance at appointments outside of research,Statistical analysis methods for handling missing data,Reporting quality of missing data.Protocols, commentaries, editorials, letters and news articles were generally
excluded as they were unlikely to report primary research results.We did not assess the quality of included studies, or the journals that their
results were presented in; all primary research meeting our inclusion criteria
were included in the ORRCA2 database with reference to original publications so
that database users can carry out their own quality assessment(s).
Development of a retention framework for categorising eligible
articles
A framework of research themes was developed by grouping previously reported
retention themes and strategies[15,17,25] into domains. Forty-five
retention domains were grouped under headings adapted from Palmer et al.:
data collection, strategies aimed at participants, strategies aimed at
sites and research staff, central study management, study design and other
(Figure 1). The
framework was reviewed by co-applicants and members of the MRC Hub for Trials
Methodology Research (MRC HTMR) Recruitment and Trial Conduct Working Groups and
was piloted on a small number of articles.
Figure 1.
Retention domain framework.
Retention domain framework.
Screening and data extraction
A team of volunteer reviewers was identified through the MRC HTMR, the Health
Research Board Trials Methodological Research Network (HRB TMRN) in Ireland and
through social media. Reviewers were provided with written guidance and attended
teleconference training sessions for abstract screening and full-text
review.Articles were screened by title and abstract by one reviewer. Ten per cent of
abstracts assessed by each volunteer reviewer were checked independently as part
of quality assurance measures. Full texts were obtained for all potentially
relevant articles and were assigned a primary reviewer. Where the primary
reviewer was not A.K. (50%), A.K. acted as a secondary reviewer to ensure data
extraction consistency. Queries or disagreements were resolved through
discussion with a third reviewer (C.G.).Eligible articles were categorised against as many of the retention domains as
relevant and into one of the following types of evidence:Randomised evaluations of retention strategies,Non-randomised evaluations of retention strategies (e.g.
pre-/post-test),Application of retention strategies without comparative
evaluation,Observations of factors affecting retention without
presenting a formal strategy (e.g. studies exploring patient-reported
reasons for early study withdrawal).Additional information on research methods, host study context and host study
population was extracted for eligible articles to facilitate search filters on
the website.Articles initially coded as ‘other’ (G1) were reviewed by two authors (A.K. and
N.L.H.) for the possible creation of new themes or re-coding into existing
domains.
Analysis
Descriptive statistics are used to summarise the retention literature across the
domains within ORRCA2. The frequencies of retention domains were calculated and
presented as a percentage of all articles. Domain frequencies were also
calculated for articles categorised within the four different evidence types.
Analysis was conducted in SAS 9.4.
Results
Search results returned 131,284 records with an additional 386 unique records
identified from hand searches and 181 from a search of recruitment articles
available from the ORRCA website (Figure 2). After electronic removal of duplicates, 72,904 records were
screened and 4,364 full texts obtained. Of these, 1,167 publications were eligible
and uploaded onto a separate searchable database within the ORRCA website.
Figure 2.
Flow diagram of eligible studies.
Flow diagram of eligible studies.
Cohort characteristics
Eligible articles were published between 1978 and 2017, although 672 (58%) were
published from 2010 onwards (Supplementary Figure 1).The cohort reported retention within a broad range of clinical studies. However,
studies of retention within mental health (292, 25%), cancer (136, 12%) and
infection (135, 12%) were most frequently reported (Supplementary Table 1).Six hundred seventy-one (57%) articles reported retention within parallel RCTs,
44 (4%) within cluster RCTs, 22 (2%) in factorial RCTs and 16 (1%) in crossover
RCTs. The cohort included studies conducted across the world, although 501 (43%)
were conducted in North America and 303 (26%) in Europe.Studies most frequently reported recruiting adults aged between 18 and 59 years
(626, 54%), but studies including adults over 60 years (341, 29%), children
under 16 years (210, 18%) and 16- to 18-year-olds (149, 13%) were still well
represented.Five hundred nineteen studies (44%) were case reports describing retention
efforts (Supplementary Table 2). A further 233 (20%) were secondary
analysis of the host study, focusing on retention providing increased detail.
One hundred fifty (13%) were systematic reviews or reviews and 131 (11%)
reported randomised studies of retention interventions that were nested within
clinical research.Nine hundred seventy-nine (84%) of studies assessed the number of participants
retained, 317 (27%) demographic differences between lost and retained
participants and 233 (20%) questionnaire response rate. Only 44 (4%) assessed
costs associated with retention strategies.Outcome data were collected by questionnaires in 541 (46%) of studies, using
clinical measures in 214 (18%) studies and via the provision of blood or tissue
samples in 152 (13%) studies (Supplementary Table 1). The location of outcome data collection
within the host study was unclear or not reported in 510 studies (44%). In 373
(24%) studies, it was collected from participant’s home, through postal
questionnaires, phone calls or by researchers visiting their address. Outcome
data were collected through clinic visit in 276 (24%) of studies and via online
methods (e.g. emails, websites) in 88 (8%) of studies.Across the cohort, studies often did not report details of the clinical context
and setting within which retention was being assessed. For example, blinding
information was not reported in 488/826 (59%) of randomised studies. Information
on where follow-up and data collection were undertaken was unknown in 510 (44%)
of studies and the type of data collected was also unknown in 371 (32%). In 469
(40%) studies, the recruitment setting was unknown; in 330 (28%) studies,
participant ages were unknown and in 266 (23%) studies the country or continent
in which the research was undertaken was not reported.
Domains and evidence type
One hundred sixty-five (14%) of studies were categorised as randomised
evaluations, 99 (8%) as non-randomised evaluations of retention strategies, 319
(27%) as an application of retention strategies without evaluation and 584 (50%)
were observations of factors affecting retention.All 45 domains within the framework were used at least once to categorise the
eligible articles. Forty-seven papers coded as G1: Other were
reviewed. Two studies remained in the G1 category and the rest were recoded into
existing domains. These reported retention research priorities and publication
characteristics associated with different rates of participant retention.Each article could contribute to multiple domains. The number of domains per
article ranged from 1 to 18 (median (interquartile range): 2 (1–4)). Figure 3 shows the number
of articles within each domain. Across the 1,167 articles, the most frequent
domains were B6: Participant factors (407, 35%), A3:
Data collection location and method (311, 27%), B1:
Reminders and Prompts (275, 24%) and B3: Monetary
incentives (271, 23%).
Figure 3.
Frequency of retention domains. The full domain names are listed in Figure 1.
Frequency of retention domains. The full domain names are listed in Figure 1.Within the 165 studies categorised as ‘randomised evaluations’, B2:
Incentives was the most frequently reported domain (52, 32%),
followed by B1: Reminders and prompts (50, 30%), A1:
Questionnaire Design (49, 30%) and A3: Data collection
location and method (43, 26%) (Figure 4). Thirteen retention domains
were not reported: A5: Data collected in routine care,
C5: Site and site staff acceptability of trial protocol, C7:
Resources and infrastructure, C8: Site selection, C9: Site training, E1:
Choice of outcomes, E2: Feasibility studies, E4: Randomisation method, E6:
Withdrawal definition and processes, E7: Run-in-period, E8: Estimating
attrition in sample size calculations, E9: Other trial designs and
E10: Trial setting. Of the studies within the randomised
evaluation category, 82 (50%) of studies within the randomised evaluations
category were assessing retention within RCTs.
Figure 4.
Frequency of retention domains within evidence type ‘randomised
evaluations’. The full domain names are listed in Figure 1.
Frequency of retention domains within evidence type ‘randomised
evaluations’. The full domain names are listed in Figure 1.
Discussion
Retention research has exponentially increased in the last 10 years. However,
identifying relevant methodological research literature is still challenging. The
extensive and resource-intensive searching of thousands of abstracts for eligible
articles demonstrate the importance of the ORRCA2 resource for trialists and
methodologists. Mapping the retention literature highlights the current focus on
retention strategies aimed at data collection methods and research participants, the
lack of cost–benefit analysis and the need to improve reporting of clinical contexts
in publications.Overall, the cohort of eligible articles covered a broad range of health contexts and
demographics. Retention research was most frequently conducted in areas widely
acknowledged to be susceptible to attrition such as studies in mental health,
studies evaluating behavioural interventions and studies collecting data through
questionnaires.[27-29]Participant reminders and prompts, participant monetary incentives and flexibility
around data collection methods were the most frequently reported retention
strategies and the focus of most nested randomised studies alongside questionnaire
design. This may reflect the growing importance of patient-reported outcomes which
are often collected by questionnaire and widely reported to be susceptible to low
return rates and missing data.[30,31] While data collection
overseen by research or clinical staff often has higher return rates, the benefits
of remote follow-up and alternative data collection methods are becoming
increasingly important due to the COVID-19 pandemic.
ORRCA2 will be able to help trialists identify possible solutions to
challenges faced for both remote and in-person follow-up through the use of search
filters for outcome data type and outcome data collection.The mapping of the literature highlights several areas for future research. The
majority of retention domains that were not reported in the classification
‘randomised evaluations’ were all within the domain headings C: Sites and
site staff (four domains unreported) and E: Study
design (eight domains unreported) except A5: Data collection in
routine care. For domains such as choice of study
outcomes and feasibility studies, randomised
evaluations may not be possible, unlike site selection and site
training. The relationship between clinical staff and participants is
often seen as important for retention.[33-35] In addition, clinical staff
need to carefully balance communication about study withdrawal with the effects of
attrition to help participants make an informed choice about their ongoing
involvement.[36,37] Consequently, research into clinical staff’s awareness of
attrition problems, their role in mitigating it and their training needs should not
be overlooked.In the last 3 years, consensus methods have identified priorities for retention research
and the need to address key uncertainties around retention.
Site training and the use of routinely collected data were in the top three
strategies warranting further evaluation but ORRCA2 found no randomised evaluations
in corresponding domains C6 and A5. Similarly, several less populated domains mapped
directly onto the top 10 retention research priorities identified by the PRioRiTy II
study, affirming the limited evidence regarding participant motivations and
experience, the use of routine data, administrative burden at research sites and the
role of patient and public contributors. In contrast, our domains’ analysis suggests
there may already be a wealth of information on different data collection methods.
However, the recent update of the Cochrane review of randomised evaluations of
retention strategies
has highlighted that even when retention domains are well populated, further
evaluation may be still needed if the quality of evidence is not sufficiently high.
As such, well-designed evaluations of monetary incentives and electronic reminders
are among those being recommended as priorities for future evaluation.Future research should also consider cost–benefit analysis of retention strategies.
While nearly a third of included studies did assess which participants more likely
to be retained, very few studies reported the economic cost-effectiveness associated
with retention strategies. Analysis of the cost–benefit ratio must be built into
future research as this will play an important role in the selection of retention
strategies within trials.Screening and mapping retention literature has also highlighted several challenges
and areas for improvement in clinical and methodological research reporting.
Information about the host study was often poorly reported, failing to report
recruitment methods adequately, data collection location and blinding, all of which
may impact retention rates. Retention strategies need to be tailored according to
participant demographics and trial design. Improved reporting of the host study
design is needed, including descriptions of the interventions and control,
participant demographics, health context and trial setting, so results can be
contextualised.Furthermore, retention terminology is ambiguous, poorly defined and inconsistently
applied. Articles frequently used terms such as ‘retention’, ‘attrition’ or ‘drop
out’ without further information. Where ‘retention’ was defined, this described a
range of scenarios, including adherence to treatment protocols and completion of
screening processes before randomisation, both of which were outside the scope of
this review and reduced the precision of the search strategy. Similarly, many
studies only assessed early study discontinuation as a measure of treatment
acceptability and therefore did not discuss the perceived causes or potential
solutions. Consequently, only 1,167 (27%) of abstracts put forward for full-text
review were found to be eligible. In comparison, 57% (4014/7036) of full-text
recruitment articles assessed up to the end of 2017 were found to be eligible. Even
where articles were within the scope of this review, authors used considerably
different criteria for assessing retention, such as outcome data return or
availability, attendance at a clinic visit, participant status at a specific point
in follow-up or completion of all required research activities. Going forward,
ORRCA2 search strategies will be optimised based on the identified literature, and
text mining will be utilised in order to efficiently maintain the
resource.[40,41] However, we recommend that in the absence of a universally
agreed definitions, authors must clearly describe their criteria and approach to the
measurement of retention to allow readers to assess their relevance better.
Strengths and limitations of research
Extensive searches of multiple databases, along with the hand searching of
relevant papers and the ORRCA database, were used to identify retention
literature conducted across the world and within all health areas.Eligible literature was reported in the English language due to lack of funds for
translation. However, only 27 studies were excluded on this basis and searches
of Scopus, the most comprehensive database,
contained no language restrictions. Therefore, it is unlikely the focus
on English language has significantly impacted the results.The search strategies focused on identifying retention strategies within RCTs but
a wider approach was taken during screening, including articles reporting
retention to other types of health research. Consequently, the database will not
contain a comprehensive account of retention within cohort studies, longitudinal
surveys and other non-randomised host study designs.Studies of interventions to improve visit adherence and data return outside of
research may have important transferable knowledge but were not included as this
would have made the review unmanageable.Domain coding was complex and there was some overlap between categories.
Reviewers were encouraged to take an inclusive approach and code all relevant
domains, but we encourage users of the database to recommend changes or
additional coding through the ‘Contact us’ section of the website. As eligible
articles were coded with all relevant domains, some of the domains used for
studies categorised as ‘randomised evaluations’ may not have been the nested
studies’ primary focus. However, as 66% of articles in this category were
assigned one domain and 18% were assigned two domains, the impact on the
analysis is likely to be minimal.
Conclusion
ORRCA2 has involved a large-scale literature review of published retention research
identifying 1167 eligible papers up to the end of 2017. Mapping the literature
highlights a current research focus on retention strategies aimed at participants
and data collection methods. Inclusion of cost–benefit analysis in future research
and improved reporting of host study context is needed to help with the targeted
selection of effective strategies.Click here for additional data file.Supplemental material, sj-docx-1-ctj-10.1177_17407745211053803 for Developing an
online, searchable database to systematically map and organise current
literature on retention research (ORRCA2) by Anna Kearney, Polly-Anna Ashford,
Laura Butlin, Thomas Conway, William J Cragg, Declan Devane, Heidi Gardner,
Daisy M Gaunt, Katie Gillies, Nicola L Harman, Andrew Hunter, Athene J Lane,
Catherine McWilliams, Louise Murphy, Carrie O’Nions, Edward N Stanhope, Akke
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