Evidence map›Paper›PMID 34631028›Full record

Trial reportF1000Research2021

Pre-notification and personalisation of text messages to increase questionnaire completion in a smoking cessation pregnancy RCT: an embedded randomised factorial trial.

Elizabeth Coleman, Rachel Whitemore, Laura Clark, Karen Daykin, Miranda Clark

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Methods to increase response to postal and electronic questionnaires.The Cochrane database of systematic reviews · 2023
    Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Elizabeth ColemanYork Trials Unit, Department of Health Sciences, University of York, UK, York, YO10 5DD, UK.ORCID 0000-0003-4210-1865
Rachel WhitemoreDivision of Primary Care, Tower Building, University of Nottingham, Nottingham, NG7 2RD, UK.
Laura ClarkYork Trials Unit, Department of Health Sciences, University of York, UK, York, YO10 5DD, UK.ORCID 0000-0001-9227-5447
Karen DaykinDivision of Primary Care, Tower Building, University of Nottingham, Nottingham, NG7 2RD, UK.
Miranda ClarkDivision of Primary Care, Tower Building, University of Nottingham, Nottingham, NG7 2RD, UK.ORCID 0000-0002-6179-046X

Funding

Cancer Research UK C11232/A23434Medical Research Council MR/R013748/1
6 · The paper itself

Abstract

backgroundLow completion rates of questionnaires in randomised controlled trials can compromise the reliability of the results, so ways to boost questionnaire completion are often implemented. Although there is evidence to suggest that sending a text message to participants increases completion, there is little evidence around the timing or personalisation of these text messages.  Methods:  A two-by-two factorial SWAT (study within a trial) was embedded within the MiQuit-3 trial, looking at smoking cessation within pregnant smokers. Participants who reached their 36-week gestational follow-up were randomised to receive a personalised or non-personalised text message, either one week or one day prior to their follow-up. Primary outcomes were completion rate of questionnaire via telephone. Secondary outcomes included: completion rate via any method, time to completion, and number of attempts to contact required.  Results  In total 194 participants were randomised into the SWAT to receive a text message that was personalised early(n=50), personalised late (n=47), non-personalised early(n=50), or non-personalised late(n=47). There was no evidence that timing of the text message (early: one week before; or late: one day before) had an effect on any of the outcomes. There was evidence that a personalised text message would result in fewer completions compared with a non-personalised text message when data was collected only via the telephone(adjusted OR 0.44, 95% CI 0.22-0.87, p=0.02). However, these results were not significant when looking at completion via any method (adjusted OR 0.61, 95% CI 0.30-1.24, p=0.17). There was no evidence to show that personalisation or not was better for any of the secondary outcomes.  Conclusion  Timing of the text message does not appear to influence the completion of questionnaires. Personalisation of a text message may be detrimental to questionnaire completion, if data is only collected via the telephone - however, more SWATs should be undertaken in this field.

Indexed as

Smoking CessationText MessagingFemaleHumansPregnancyReproducibility of ResultsSmokersSurveys and QuestionnairesEmbedded TrialnotificationpersonalisationRandomised Controlled TrialRetentionSMSSWATtext

Identifiers

PMID34631028
PMCPMC8491148

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.