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Non-randomised evaluations of strategies to increase participant retention in randomised controlled trials: a systematic review



Retention of participants is essential to ensure the statistical power and internal validity of clinical trials. Poor participant retention reduces power and can bias the estimates of intervention effect. There is sparse evidence from randomised comparisons of effective strategies to retain participants in randomised trials. Currently, non-randomised evaluations of trial retention interventions embedded in host clinical trials are rejected from the Cochrane review of strategies to improve retention because it only included randomised evaluations. However, the systematic assessment of non-randomised evaluations may inform trialists’ decision-making about retention methods that have been evaluated in a trial context.Therefore, we performed a systematic review to synthesise evidence from non-randomised evaluations of retention strategies in order to supplement existing randomised trial evidence.


We searched MEDLINE, EMBASE, and Cochrane CENTRAL from 2007 to October 2017. Two reviewers independently screened abstracts and full-text articles for non-randomised studies that compared two or more strategies to increase participant retention in randomised trials. The retention trials had to be nested in real ‘host’ trials ( including feasibility studies) but not hypothetical trials.

Two investigators independently rated the risk of bias of included studies using the ROBINS-I tool and determined the certainty of evidence using GRADE (Grading of Recommendations Assessment, Development and Evaluation) framework.


Fourteen non-randomised studies of retention were included in this review. Most retention strategies (in 10 studies) aimed to increase questionnaire response rate. Favourable strategies for increasing questionnaire response rate were telephone follow-up compared to postal questionnaire completion, online questionnaire follow-up compared to postal questionnaire, shortened version of questionnaires versus longer questionnaires, electronically transferred monetary incentives compared to cash incentives, cash compared with no incentive and reminders to non-responders (telephone or text messaging). However, each retention strategy was evaluated in a single observational study. This, together with risk of bias concerns, meant that the overall GRADE certainty was low or very low for all included studies.


This systematic review provides low or very low certainty evidence on the effectiveness of retention strategies evaluated in non-randomised studies. Some strategies need further evaluation to provide confidence around the size and direction of the underlying effect.

Peer Review reports


Retention can be defined in several ways, for example, the ‘Standard Protocol Items: Recommendations for Interventional Trials’ (SPIRIT) guideline defines poor retention as ‘instances where participants are prematurely “off-study” (i.e., consent withdrawn or lost to follow-up) and thus outcome data cannot be obtained from them’ [1]. Retention of participants is essential to ensure the statistical power and internal validity of clinical trials. Poor retention reduces power and can bias the estimates of intervention effect, which seriously affects the credibility of trial results and the potential of a trial to influence clinical practice [2]. In a review that evaluated missing outcome data in randomised trials published in four major journals, 89% of studies reported some missing data and 18% of studies had more than 20% of participants with partly missing outcome data [3]. Recent work with a 2004–2016 cohort of trials funded by the UK Health Technology Assessment Programme found that 50% of trials did not have primary outcome data for more than 10% of participants [4].

It is generally accepted that under 5% loss to follow-up will introduce little bias, while missing outcome data from more than 20% may pose a major threat to the validity of the study [5]. Some trial results, however, can be far more vulnerable to missing data than this suggests. The Fragility Index, a way of assessing how fragile a trial conclusion is, developed by Michael Walsh and colleagues, shows that what is considered statistically significant at P < 0.05 can be turned insignificant by a handful of events going in the opposite direction [6]. Crucially, the same study found that for 53% of trials, the number of event swaps needed to change the conclusion was less than the number lost to follow-up. While modest missing data can be handled with statistical methods, the risk of bias can remain [7] and it is difficult to meaningfully fix substantial missing data by statistical means [8].

A Cochrane review published in 2013 on interventions to improve retention in trials identified 38 studies that evaluated retention interventions using random or quasi-random allocation [9]. The authors concluded that financial incentives increased questionnaire response rates but were unable to draw conclusions about in-person follow-up. Only four of the included studies looked at in-person follow-up and two of these evaluated strategies to improve retention to the intervention and not to the trial itself. A more recent systematic review of retention strategies for in-person follow-up in health care studies identified 88 studies, only six of which (four RCTs, one quasi-RCT and one uncontrolled trial) were designed to compare retention strategies, whereas the remainder (82 studies) described retention strategies and retention rates but offered no rigorous evaluation of strategies used [10]. The lack of included studies making direct comparisons combined with heterogeneity in the types of strategies, participants and study designs prohibited meta-analysis.

The rationale for the review

The importance of trial retention combined with the lack of evidence regarding interventions that might improve it has led to retention being identified as one of the top three methodological research priorities in the UK [11]. Given the lack of randomised trial evidence on effective retention strategies, the contribution of evidence from non-randomised evaluations looks worthy of examination.

The potential contribution non-randomised studies can make to the evaluation of effectiveness has provoked considerable controversy [12]. Including non-randomised effect evaluations in systematic reviews could be viewed as problematic, particularly because of poor methodological quality and the likelihood of selection bias and its impact on study results. However, evidence from a recent Cochrane review of reviews has shown that there were no significant effect estimate differences between RCTs and observational studies (79% of the included reviews showed no significant differences between observational studies and RCTs) [13]. This suggests that observational studies can be conducted with sufficient rigour to provide complementary evidence or replicate the results of randomised trials. Moreover, we think that the systematic evaluation of what is expected to be a considerable amount of research is crucial; without collation, this body of evidence is currently being disregarded and may hold promising results for the trial community regardless of whether the outcomes support one or more interventions.

While accepting that non-randomised evaluations have methodological weaknesses for the evaluation of effect size, researchers nevertheless choose these designs for many studies and we believe it is worth systematically reviewing this literature to assess the usefulness of approaches evaluated using non-randomised methods, and whether they may be worth evaluating in randomised studies in the future.


  • To provide a comprehensive review of retention strategies evaluated through non-randomised study designs.

  • To measure the effect of strategies to promote retention in randomised trials and to explore whether the effect varied by trial setting, trial strategy and/or retention behaviour.


Details of review methods used were prespecified in the published protocol [14]. This systematic review was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines [15]. The PRISMA checklist is provided in Supplementary document (1). We briefly summarise our methods below.

Criteria for considering studies for this review

Types of studies

Non-randomised studies that compared two or more strategies aimed at increasing participant retention in randomised trials. The retention trials had to be nested in real (i.e. not hypothetical) randomised ‘host’ trials, including feasibility studies. The most robust test of the effectiveness of a retention strategy is a trial comparing one retention method with an alternative, ‘nested’ within an ongoing host clinical trial. By ‘nesting’, we refer to patients being allocated to two or more alternative methods of retention by random or non-random methods. Such studies provide a context that is the same as the one we are interested in clinical trials. This makes judgements about the applicability of the evidence coming from these evaluations more straightforward than for evaluations done outside trials and/or outside healthcare. The wider experimental evidence is already described in a number of reviews, for example, Edwards et al. [16]. We also excluded randomised evaluations from our review as they were the subject of an existing Cochrane review, which is currently being updated [9].

Outcome measures

Primary outcome

The primary outcome was the number of participants retained at the primary analysis point as stated in each retention study. In cases where the time points to measure the primary outcome were not predetermined, the first time point reported was considered.

Secondary outcomes

Retention at secondary analysis points and cost of retention strategy per participant.

Search methods

The search strategy was constructed in discussion with an information specialist (CF) with expertise in healthcare databases and systematic reviews. The literature search was conducted using the Cochrane Methodology Register, The Cochrane Controlled Trials Register, MEDLINE and CINAHL electronic databases. The search was limited to English studies published in the last 10 years to increase relevance to current trials.

Other supplementary search methods included hand-searching of reference lists of relevant publications, included studies and systematic reviews of randomised retention strategies to identify studies that were excluded on account of being non-randomised.

Supplementary document (2) details the full MEDLINE and EMBASE search strategy, which was adapted for other databases listed above.

Identification of eligible studies

The abstracts of all records retrieved from the search were screened by two reviewers independently (AE reviewed all studies along with either ST or HG). The full-text check was carried out for all potentially eligible studies by two review authors independently (AE and ST). Any disagreements were discussed and resolved together with a third reviewer where necessary.Where necessary, study authors were contacted to seek information to resolve any questions regarding study eligibility.

Data extraction and management

Two reviewers (AE and TI) independently extracted information from each of the included studies using a standardised data extraction form designed for this review. Data extracted from the host trial were objective, trial setting and clinical area. Retention strategies and retention rates at different follow-up time points were extracted independently. Any disagreements were discussed and resolved.

Quality assessment of included studies

The Cochrane ROBINS-I (“Risk Of Bias In Non-randomised Studies-of Interventions”) tool [17] was used to appraise the quality of the included studies. ROBINS-I assessment was carried out by two review authors (AE and ST). Any disagreements were discussed and resolved with a third person where necessary.

Data synthesis

The nature of the included studies meant that much of the analysis was anticipated to be narrative. Where population, interventions and outcomes were sufficiently similar to allow for a meta-analysis, we planned to look for visual evidence of heterogeneity in forest plots and statistical evidence of heterogeneity using the chi-square test and the degree of heterogeneity quantified using the I2 statistic. However, there was a considerable heterogeneity across the interventions evaluated in these studies, even those that fell under the same intervention category rendering meta-analysis and sub-group analysis inappropriate.

Studies were analysed according to intervention type (e.g. monetary incentives, telephone interviews); interventions were grouped when their mode of delivery or content was deemed sufficiently homogeneous. To ensure the synthesis was a rigorous process, review authors (ST, KG, HG and AE) met to discuss and categorise different retention strategies from the included studies. The six broad types of strategies identified in the Cochrane review on randomised evaluations of retention interventions [9] were considered as a guiding framework before identifying new categories emerging from the included studies. Review authors reviewed different retention strategies independently and assigned each strategy to a relevant category. The individual results were then discussed, and differences were reconciled before a list of overall retention categories was finalised.

Assessment of the overall certainty in the body of evidence

The Grading of Recommendations Assessment Development and Evaluation (GRADE) system was used to rate the certainty in the body of evidence from the included studies [18]. GRADE provides explicit criteria for rating the certainty of the evidence. It does this by rating a body of evidence as high, moderate, low, or very low certainty. The four levels of certainty provide implications for future research (the lower the quality, the more likely further research would change our confidence in the estimates, and the estimates themselves). GRADE’s approach considers five factors: risk of bias [19], imprecision [20], inconsistency [21], indirectness of the evidence to the question at hand [22], and likelihood of publication bias [23]. By convention, randomised trials start at high, non-randomised at low certainty. Concerns with any of these factors can lead to moving the rating down. Additionally, three factors—large effects, a dose-response relationship and all plausible biases would increase our confidence in the estimated effect—can lead to moving a rating upwards. As all our included studies are non-randomised, our ratings started at low, meaning that our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. GRADE assessments were applied independently by two reviewers (AE and ST). GRADE evidence profiles were created to ensure transparency of our judgements. Guidance on the use of GRADE to rate the certainty of evidence when a meta-analysis has not been performed, and instead a narrative summary of the effect was provided is still needed. GRADE is designed to be used on bodies of evidence, which also included a body of evidence comprising a single study. To make our ratings consistent when applied to a single study, we used the approach described in Treweek’s Cochrane review of interventions to increase recruitment to randomised trials [24]:

  • Study limitations: downgrade all high Risk of Bias (RoB) studies by two levels; downgrade all uncertain RoB studies by one level.

  • Inconsistency: assume no serious inconsistency.

  • Indirectness: downgrade by one level if a proxy for actual retention is all that is presented.

  • Imprecision: downgrade all single studies by one level because of the sparseness of data; downgrade further by one level if the confidence interval is wide and crosses the line where risk difference = 0.

  • Reporting bias: assume no serious reporting bias.


Seven thousand six hundred nine abstracts, titles and other records were identified, which led to 92 full-text papers, reports and manuscripts being assessed for eligiblity. Of these potentially eligible studies, 14 non-randomised retention studies were included in this review (Fig. 1).

Fig. 1
figure 1

PRISMA flow diagram outlining the selection process

Most retention strategies aimed to increase questionnaire response rate. The retention strategies evaluated fell into six broad categories:

  1. 1.

    Change in mode of data collection (e.g. from postal questionnaire completion to completion over the telephone)

  2. 2.

    Different questionnaire format for follow-up (e.g. short version of online questionnaire)

  3. 3.

    Different design strategies for follow-up (e.g. use of a run-in period to allow the participant to think further about the study and their participation, and it permits the researcher to gauge to what extent the participant will adhere to the requirements of the study)

  4. 4.

    Change in mode of reminder delivery (e.g. from telephone call to text messaging for follow-up)

  5. 5.

    Incentives (e.g. use of a monetary incentive)

  6. 6.

    Multifaceted strategies (e.g. intense tracing efforts to locate study participants)

Participants and settings

Table 1 presents the characteristics of studies included in this review. Studies were conducted in a broad spectrum of clinical areas ranging from chlamydia screening to coronary artery disease and screening for traumatic brain injury. Five retention studies were UK-based, five were USA-based and the remaining four studies were set in Canada, Australia, Denmark and Malawi.

Table 1 Characteristics of the included studies (grouped according to the relevant retention category)

Design of the included retention studies

Twelve studies were nested in individually randomised controlled trials, and two studies were nested in cluster randomised trials [26, 27]. Five studies used before and after study design with no control group to evaluate a strategy to improve participant retention [26,27,28, 31, 38]. Five retention studies used a prospective cohort study design [25, 29, 33, 36, 39]. Two retention studies used a historical control study design [32, 35]. Two studies evaluated retention strategies using a post hoc analysis method [30, 37]. One retention study started after a randomised pilot study and before the main host trial [32]. All other retention studies commenced during follow-up for the host trial. All included studies targeted individual trial participants.

Risk of bias assessment

Most (10/14) of the included studies were at low risk of bias for all ROBINS-I risk of bias domains, meaning the study is ‘comparable to a well-designed randomised study’ [17] for these domains. The exception was confounding where most of them (10/14) were at moderate risk of bias, meaning that these studies were robust for a non-randomised study with respect to this bias domain but cannot be compared to a well-conducted randomised study. Only four studies (4/14) were found to be at serious risk of bias on the confounding domain [26, 27, 32, 38]. Our judgements about risk of bias items for each and across all the included studies are presented in a risk of bias summary table (Supplementary document (3)). The risk of bias assessment was used in our GRADE judgements and in our interpretation of study findings.

Handling missing data

The amount and reasons for missing data were recorded. Data essential to appraise the quality of included studies, numbers allocated to each group and number of participants retained at the primary endpoint were extracted. When assessing risk of bias, drop-outs were considered as a potential source of bias. The primary outcome measure for this review was retention, and this was well reported. Authors were contacted for clarification of any exclusions after randomisation to the host trial if this was unclear from retention study reports.

Assessment of reporting bias

Although we had planned to assess reporting bias, there were too few included studies considering the same intervention to allow this to be done.

Intervention effects

The GRADE assessments for all comparisons are given in Supplementary document (4). One (telephone follow-up subsequent to no response to a postal questionnaire) had a GRADE assessment of low overall certainty. All other comparisons were rated as very low certainty. Results for each of the six intervention categories are given in turn. There was considerable heterogeneity across all studies, and a meta-analysis was deemed inappropriate.

Strategies that involved a change in mode of data collection

Six studies employed a different mode of data collection to increase retention in host randomised trials [25,26,27,28,29,30] (Table 2). Five studies were aimed at improving questionnaire response rate [25,26,27,28,29], and one study was aimed at reducing attrition rate and improving the accuracy of study outcome reporting [30]. Although we could not calculate a pooled effect estimate, all retention strategies evaluated seemed effective in increasing questionnaire response rates or retention ( ranging from a 14% [29] absolute increase in retention to a 41% increase [27]).

Table 2 Effect of strategies that involved a change in mode of data collection

Strategies that used a different questionnaire format for follow-up

One study examined the effect of using a different questionnaire structure on follow-up in the context of the sexunzipped online randomised trial. This study examined the comparative effectiveness of a shortened version of the online questionnaire versus full version of the online questionnaire on retention of valid participants at 3-month follow-up [31]. Postal follow-up with the shortened version of the questionnaire boosted the overall response rate by 10.37% (208/2006).

Different design strategies for follow-up

A single study evaluated a trial design strategy as a retention intervention, the use of a 4-week period (which the authors called a run-in period) to allow participants to consider their involvement in the trial [32]. Drop-out rate decreased from 25.0% (in the pilot study) to 4.6% 12 months after randomisation in this study and retention rate increased from 75 to 95.4%.

Strategies that involved a change in the mode of reminder delivery

Two studies evaluated two different reminder strategies to increase response rate and decrease participant attrition [33, 34] (Table 3). Again, the specific retention strategies used in studies under this category were different and this precluded a meta-analysis.

Table 3 Effect of strategies that used a change in mode of reminders delivery

Strategies that involved incentives

Two studies evaluated the effect of offering monetary incentives to partipants to improve postal questionnaire response rates and to promote follow-up phone or in person interviews in host randomised trials [35, 36] (Table 4).

Table 4 Effect of incentives

Multi-faceted strategies

Two studies used multi-component strategies to trace missing study participants and increase retention [37, 38] (Table 5).

Table 5 Effect of multi-faceted strategies

Cost of retention strategies

Only two studies reported the costs for strategies used to retain participants [27, 35]. In the study by Brealey et al. (2007) [35], the total cost for 105 patients with no incentive was £249, and the total cost for the 442 patients with a £5 incentive was £3161. The extra cost per additional respondent was almost £50. In the study by Dormandy et al (2008) [27], the additional costs associated with telephone administration compared to postal administration were £3.90 per questionnaire for English speakers and £71.60 per questionnaire for non-English speakers.


Summary of main results

This systematic review summarises recent evidence from non-randomised evaluations of strategies to increase participant retention in randomised trials. A total of 14 studies were included, evaluating six broad types of strategies to increase retention in trials by increasing questionnaire response rates. There was a considerable diversity across the interventions evaluated in these studies; even those that fell under the same intervention category were sufficiently heterogeneous to render meta-analysis and sub-group analysis inappropriate.

Strategies that led to large improvements (by more than 10%) in questionnaire response rates were telephone follow-up compared to postal questionnaire completion, online questionnaire follow-up compared to postal questionnaire, shortened version of questionnaires versus longer questionnaires, electronically transferred monetary incentives compared to cash incentives, cash compared with no incentive and reminders to non-responders (telephone or text messaging). However, each of these strategies was evaluated in just a single observational study and this led to rating down for imprecision in GRADE. The GRADE overall certainty in the body of evidence is consquently always low or very low.

Most of the included studies were at low to moderate risk of bias denoting that, for trial retention, observational studies could be conducted with sufficient rigor and that researchers’ understanding of how to handle confounding adjustments in such studies has improved in recent years. Imprecision always pulled down the overall certainty in the evidence because interventions have only been evaluated once in all cases. With replication our confidence in the effect estimates would increase; we could imagine upgrading the GRADE assessment if effects are very consistent.

Overall completeness and applicability of evidence

Telephone calls to collect data were used in four studies as a supplementary retention method and large (from 14 to 41%) improvements in questionnaire response rate were seen in all four host randomised trials. However, administration of telephone follow-up varied among these studies with respect to the length of the trial questionnaire offered to study participants to complete over the phone and this might had an impact on questionnaire response rate as shorter questionnaires are quicker to complete compared with longer questionnaires [40].

The increase in response rate following telephone reminders (without collecting data) in the study by Hansen et al. was at the same level as in other studies, regarding both the proportion of respondents [41, 42] and the 10% increase in response rate [41, 43]. Varner et al. reported that sending reminders to study participants by text message decreased attrition rate by 22%. This is consistent with findings from three linked embedded randomised trials where text messaging was effective as a post notification reminder in increasing response rate [44]. Furthermore, Clark et al. undertook a “trial within a trial” of using electronic prompts (SMS and email) to increase response rates within a randomised trial of COPD diagnostic screening. Electronic prompts increased the overall response rates by 8.8%. The results from this study were pooled in a meta-analysis with another two trials identified from Brueton’s Cochrane review. The difference in response rates was found to be 7.1% (95% CI 0.8%, 13.3%) [45].

In one study [35], the direct payment of £5 significantly increased the completion of postal questionnaires at negligible increase in cost. Brueton’s Cochrane review identified that incentives may increase the number of questionnaires returned per 1000 participants, but has only been tested in online questionnaires [9]. The use of wireless incentives provided via generic reloadable bank cards increased participant completion rates of follow-up study activities and overall retention of women drinkers in abusive relationships in a large, randomised, clinical intervention trial [36]. In this study, wireless payment more than tripled (from 27 to 97%) the number of participants who chose to complete follow-up interviews by phone, as opposed to returning to the ED for in-person follow-up interviews. This supports that a reloadable participant incentive system that does not require participants to return to the study site allows for greater flexibility of collecting follow-up data, particularly when paired with remote data collection methods. Again, this is only based on the results of one study and this stratgey needs further evaluation to determine its effect.

The shortened version of a questionnaire was used in one study, and a large improvement in questionnaire response rate was seen in the host randomised trial when compared to using the long version. This effect is consistent with the randomised trial evidence from a systematic review and a meta-analysis of 38 randomised trials evaluating the effect of questionnaire length on response rates [40]. Where participants are well and engaged with a trial, questionnaire length might not impact on response rates because trial participants may be happy to feedback on their condition in this way. For other conditions where participants’ symptoms are problematic, for example, cancers, participants may prefer shorter questionnaires.

The evidence was less clear whether multi-faceted retention strategies (i.e. several strategies used together) increased response. Several methods may be necessary for optimal retention, but it was unclear which strategy might be linked with successful contact with non-responders.

Only one study from a low-income country was identified. Accordingly, the retention strategies identified by this review may not be generalisable to trials conducted in low-income countries because the interventions identified might not be culturally, socially or economically appropriate for trials based in these regions. The applicability of the results to all social groups may be questionned as response/retention was not examined by social characteristics such as social class and economic disadvantage.


Several limitations of our study should be acknowledged. Although broad search terms were used, and reference lists were hand-searched, we may not have identified all publications. We are confident that we have captured most studies and the spectrum of strategies that have been evaluated in observational studies to date. It is conceivable, however, that ongoing or unpublished studies might have been missed. Although most of the retention studies were fairly well conducted and accounted for confounding factors, some were often poorly reported. Due to the considerable limitations of the evidence identified using GRADE, it was not possible to make meaningful and robust conclusions about the relative effectiveness of different retention strategies evaluated in observational studies included in this review.

Implication for methodological research

Over the years, research conducted to change the global landscape of how retention problems in trials could be tackled has not substantively reduced our uncertainty with regards to which interventions make retention more likely. The chief reason behind this is a preference for methodology researchers to evaluate new interventions rather than to replicate evaluations of existing interventions. One way to fill gaps in the evidence is to run several Studies Within A Trial, or SWATs, a self-contained research study that is embedded within a host trial with the aim of evaluating or exploring alternative ways of delivering or organising a particular trial process. All the included studies in our review can be considered to be SWATs. In future, rather than reporting what has been done retrospectively, we would encourage trialists to prospectively plan to embed retention strategies, specifically using a SWAT protocol, into their trials from the very beginning of the process of planning the host trial. Many retention strategies used by trialists in practice were not eligible for the Cochrane review of randomised evaluations of retention interventions but were evaluated in studies within our review (e.g. home visits, telephone interviews and the use of a 4-week reflection period). Some of these interventions were linked to large improvements in retention and could be replicated in randomised SWATs to increase certainty in the evidence of their effectiveness. Telephone interviews, for example, were used in four studies as a supplementary retention method, and large (14–41%) improvements in questionnaire response rate were seen in all four host randomised trials. Although meta-analysis was deemed inappropriate, effect sizes in these studies were large enough to suggest that more rigorous evaluations are worth doing and would improve the evidence base for this intervention by confirming (or refuting) observational evidence. Moreover, offering multiple approaches to collect data such as home visits or telephone interviews were among the top five recommended practices to mitigate missing data recommended by chief investigators from 10 trials (20%) in a recent survey of 75 chief investigators of NIHR Health Technology Assessment (HTA)-funded trials starting between 2009 and 2012 [46]. Having rigorous evidence behind this recommendation would be reassuring. Treweek and colleagues have published a Trial Forge guidance document on how to design and run SWATs [47], and in the UK, the National Institute for Health Research (NIHR) has launched a funding scheme for SWATs in the Health Technology Assessment (HTA) program. The Health Research Board in Ireland runs a similar scheme. Queen’s University Belfast in Northern Ireland hosts a SWAT repository (, which contains a list of prepared SWAT protocols.

Based on the results of this review, we suggest a list of retention interventions that warrant further testing, ideally through randomised evaluations:

  • The effect of telephone interviews versus online questionnaire completion on questionnaire response rate.

  • The effect of home follow-up versus routine follow-up on retention rate.



Excerpta Medica dataBASE


Medical Literature Analysis and Retrieval System Online


Randomised control trial


Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols


Medical Subject Heading


Risk Of Bias In Non-randomised Studies-of Interventions


Odds Ratio


Grading of Recommendations Assessment, Development and Evaluation


Chronic Obstructive Pulmonary Disease


Emergency Department


  1. Standard Protocol Items: Recommendation For Interventional Trials (SPIRIT). Available at: Accessed 16 Mar 2019.

  2. Fewtrell MS, Kennedy K, Singhal A, Martin RM, Ness A, Hadders-Algra M, et al. How much loss to follow-up is acceptable in long-term randomised trials and prospective studies? Arch Dis Child. 2008 Jun;93(6):458–61.

    Article  PubMed  Google Scholar 

  3. Wood AM, White IR, Thompson SG. Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clinical trials. 2004;1(4):368–76.

    Article  PubMed  Google Scholar 

  4. Walters SJ, Bonacho Dos Anjos Henriques-Cadby I, Bortolami O, Flight L, Hind D, Jacques RM, et al. Recruitment and retention of participants in randomised controlled trials: a review of trials funded and published by the United Kingdom Health Technology Assessment Programme. BMJ Open 2017 Mar 20;7(3):e015276-2016-015276.

  5. Sackett DL. Evidence-based medicine how to practice and teach EBM.: WB Saunders Company; 1997.

  6. Walsh M, Srinathan SK, McAuley DF, Mrkobrada M, Levine O, Ribic C, et al. The statistical significance of randomized controlled trial results is frequently fragile: a case for a Fragility Index. J Clin Epidemiol. 2014;67(6):622–8.

    Article  PubMed  Google Scholar 

  7. Hollis S, Campbell F. What is meant by intention to treat analysis? Survey of published randomised controlled trials. BMJ. 1999 Sep 11;319(7211):670–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Vickers AJ, Altman DG. Statistics notes: missing outcomes in randomised trials. BMJ. 2013 Jun 6;346:f3438.

    Article  PubMed  Google Scholar 

  9. Brueton VC, Tierney J, Stenning S, Harding S, Meredith S, Nazareth I, et al. Strategies to improve retention in randomised trials. The Cochrane Library 2013.

  10. Robinson KA, Dinglas VD, Sukrithan V, Yalamanchilli R, Mendez-Tellez PA, Dennison-Himmelfarb C, et al. Updated systematic review identifies substantial number of retention strategies: using more strategies retains more study participants. J Clin Epidemiol. 2015;68(12):1481–7.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Smith CT, Hickey H, Clarke M, Blazeby J, Williamson P. The trials methodological research agenda: results from a priority setting exercise. Trials. 2014;15(1):32.

    Article  Google Scholar 

  12. McKee M, Britton A, Black N, McPherson K, Sanderson C, Bain C. Interpreting the evidence: choosing between randomised and non-randomised studies. BMJ. 1999;319(7205):312–5.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Anglemyer A, Horvath HT, Bero L. Healthcare outcomes assessed with observational study designs compared with those assessed in randomized trials. The Cochrane Library 2014.

  14. El Feky A, Gillies K, Gardner H, Fraser C, Treweek S. A protocol for a systematic review of non-randomised evaluations of strategies to increase participant retention to randomised controlled trials. Systematic reviews. 2018;7(1):30.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Moher D, Liberati A, Tetzlaff J, Altman DG, Prisma Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Edwards P, Roberts I, Clarke M, DiGuiseppi C, Pratap S, Wentz R, et al. Increasing response rates to postal questionnaires. Overview of systematic methodology reviews 2007:23.

  17. Sterne JA, Hernan MA, Reeves BC, Savovic J, Berkman ND, Viswanathan M, et al. ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions. BMJ. 2016;355:i4919.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Guyatt GH, Oxman AD, Kunz R, Falck-Ytter Y, Vist GE, Liberati A, et al. Going from evidence to recommendations. BMJ. 2008 May 10;336(7652):1049–51.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Guyatt GH, Oxman AD, Vist G, Kunz R, Brozek J, Alonso-Coello P, et al. GRADE guidelines: 4. Rating the quality of evidence—study limitations (risk of bias). J Clin Epidemiol. 2011;64(4):407–15.

    Article  PubMed  Google Scholar 

  20. Guyatt GH, Oxman AD, Kunz R, Brozek J, Alonso-Coello P, Rind D, et al. GRADE guidelines 6. Rating the quality of evidence—imprecision. J Clin Epidemiol. 2011;64(12):1283–93.

    Article  PubMed  Google Scholar 

  21. Guyatt GH, Oxman AD, Kunz R, Woodcock J, Brozek J, Helfand M, et al. GRADE guidelines: 7. Rating the quality of evidence—inconsistency. J Clin Epidemiol. 2011;64(12):1294–302.

    Article  PubMed  Google Scholar 

  22. Guyatt GH, Oxman AD, Kunz R, Woodcock J, Brozek J, Helfand M, et al. GRADE guidelines: 8. Rating the quality of evidence—indirectness. J Clin Epidemiol. 2011;64(12):1303–10.

    Article  PubMed  Google Scholar 

  23. Guyatt GH, Oxman AD, Montori V, Vist G, Kunz R, Brozek J, et al. GRADE guidelines: 5. Rating the quality of evidence—publication bias. J Clin Epidemiol. 2011;64(12):1277–82.

    Article  PubMed  Google Scholar 

  24. Treweek S, Pitkethly M, Cook J, Fraser C, Mitchell E, Sullivan F, et al. Strategies to improve recruitment to randomised trials. Cochrane Database Syst Rev. 2018;2.

  25. Atherton H, Oakeshott P, Aghaizu A, Hay P, Kerry S. Use of an online questionnaire for follow-up of young female students recruited to a randomised controlled trial of chlamydia screening. J Epidemiol Community Health. 2010 Jul;64(7):580–4.

    Article  PubMed  Google Scholar 

  26. Childs JD, Bowman JA, Wu SS, Butler AM, Andrade RL, Teyhen DS, et al. Incremental effects of telephone call center and healthcare utilization database use to improve follow-up rate in the prevention of low back pain in the military trial. US Army Medical Department Journal 2015.

  27. Dormandy E, Brown K, Reid EP, Marteau TM. Towards socially inclusive research: an evaluation of telephone questionnaire administration in a multilingual population. BMC Med Res Methodol. 2008;8(1):2.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Johnson NA, Kypri K, Latter J, McElduff P, Attia J, Saitz R, et al. Effect of telephone follow-up on retention and balance in an alcohol intervention trial. Prev Med Rep. 2015;2:746–9.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lall R, Mistry D, Bridle C, Lamb SE. Telephone interviews can be used to collect follow-up data subsequent to no response to postal questionnaires in clinical trials. J Clin Epidemiol. 2012 Jan;65(1):90–9.

    Article  PubMed  Google Scholar 

  30. Peterson JC, Pirraglia PA, Wells MT, Charlson ME. Attrition in longitudinal randomized controlled trials: home visits make a difference. BMC Med Res Methodol. 2012;12(1):178.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Bailey JV, Pavlou M, Copas A, McCarthy O, Carswell K, Rait G, et al. The Sexunzipped trial: optimizing the design of online randomized controlled trials. J Med Internet Res. 2013 Dec 11;15(12):e278.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Ulmer M, Robinaugh D, Friedberg JP, Lipsitz SR, Natarajan S. Usefulness of a run-in period to reduce drop-outs in a randomized controlled trial of a behavioral intervention. Contemp Clin Trials. 2008 Sep;29(5):705–10.

    Article  PubMed  Google Scholar 

  33. Hansen E, Fonager K, Freund KS, Lous J. The impact of non-responders on health and lifestyle outcomes in an intervention study. BMC research notes. 2014;7(1):632.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Varner C, McLeod S, Nahiddi N, Borgundvaag B. Text messaging research participants as a follow-up strategy to decrease emergency department study attrition. CJEM. 2018 Jan;20(1):148–53.

    Article  PubMed  Google Scholar 

  35. Brealey SD, Atwell C, Bryan S, Coulton S, Cox H, Cross B, et al. Improving response rates using a monetary incentive for patient completion of questionnaires: an observational study. BMC Med Res Methodol. 2007;7(1):12.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Rodgers M, Meisel Z, Wiebe D, Crits-Christoph P, Rhodes KV. Wireless participant incentives using reloadable bank cards to increase clinical trial retention with abused women drinkers: a natural experiment. J Interpers Violence. 2016;0886260516662849.

  37. Ezell JM, Saltzgaber J, Peterson E, Joseph CL. Reconnecting with urban youth enrolled in a randomized controlled trial and overdue for a 12-month follow-up survey. Clinical Trials. 2013;10(5):775–82.

    Article  PubMed  Google Scholar 

  38. Sellers CJ, Lee H, Chasela C, Kayira D, Soko A, Mofolo I, et al. Reducing lost to follow-up in a large clinical trial of prevention of mother-to-child transmission of HIV: the Breastfeeding, Antiretrovirals and Nutrition study experience. Clinical trials. 2015;12(2):156–65.

    Article  PubMed  Google Scholar 

  39. Varner C, McLeod S, Nahiddi N, Borgundvaag B. Text messaging research participants as a follow-up strategy to decrease emergency department study attrition. Canadian journal of emergency medicine. 2018;20(1):148–53.

    PubMed  Google Scholar 

  40. Edwards P, Roberts I, Sandercock P, Frost C. Follow-up by mail in clinical trials: does questionnaire length matter? Control Clin Trials. 2004 Feb;25(1):31–52.

    Article  PubMed  Google Scholar 

  41. Ronckers C, Land C, Hayes R, Verduijn P, van Leeuwen F. Factors impacting questionnaire response in a Dutch retrospective cohort study. Ann Epidemiol. 2004 Jan;14(1):66–72.

    Article  PubMed  Google Scholar 

  42. Tai SS, Nazareth I, Haines A, Jowett C. A randomized trial of the impact of telephone and recorded delivery reminders on the response rate to research questionnaires. J Public Health. 1997;19(2):219–21.

    Article  CAS  Google Scholar 

  43. May AM, Adema LE, Romaguera D, Vergnaud A, Agudo A, Ekelund U, et al. Determinants of non-response to a second assessment of lifestyle factors and body weight in the EPIC-PANACEA study. BMC Med Res Methodol. 2012;12(1):148.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Keding A, Brabyn S, MacPherson H, Richmond SJ, Torgerson DJ. Text message reminders to improve questionnaire response rates. J Clin Epidemiol. 2016 Nov;79:90–5.

    Article  PubMed  Google Scholar 

  45. Clark L, Ronaldson S, Dyson L, Hewitt C, Torgerson D, Adamson J. Electronic prompts significantly increase response rates to postal questionnaires: a randomized trial within a randomized trial and meta-analysis. J Clin Epidemiol. 2015;68(12):1446–50.

    Article  PubMed  Google Scholar 

  46. Kearney A, Daykin A, Shaw AR, Lane AJ, Blazeby JM, Clarke M, et al. Identifying research priorities for effective retention strategies in clinical trials. Trials. 2017;18(1):406.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Treweek S, Bevan S, Bower P, Campbell M, Christie J, Clarke M, et al. Trial Forge Guidance 1: what is a Study Within A Trial (SWAT)? Trials. 2018;19(1):139.

    Article  PubMed  PubMed Central  Google Scholar 

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Elfeky, A., Gillies, K., Gardner, H. et al. Non-randomised evaluations of strategies to increase participant retention in randomised controlled trials: a systematic review. Syst Rev 9, 224 (2020).

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