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Effects of pre-notification, invitation length, questionnaire length and reminder on participation rate: a quasi-randomised controlled trial

Overview of attention for article published in BMC Medical Research Methodology, January 2018
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Title
Effects of pre-notification, invitation length, questionnaire length and reminder on participation rate: a quasi-randomised controlled trial
Published in
BMC Medical Research Methodology, January 2018
DOI 10.1186/s12874-017-0467-5
Pubmed ID
Authors

Marie Koitsalu, Martin Eklund, Jan Adolfsson, Henrik Grönberg, Yvonne Brandberg

Abstract

Improving participation rates in epidemiologic studies using questionnaires and biological sampling is important for the generalizability of the outcome. The aim of this study was to examine the effects of pre-notification, invitation length, questionnaire length, and reminder on participation rate and to investigate whether some factors contributed to participants doing both the questionnaire and blood sampling as oppose to only one part. Our study was embedded within the pilot testing of a large population-based study about prostate cancer screening. Our study sample consisted of 28.134 men between 50 and 69 years of age and living in the region of Stockholm (Sweden) invited to respond to a web-based questionnaire and to provide blood for prostate cancer testing. The men were randomly allocated according to birth of date to receive either: (a) a pre-notification postcard or not; (b) a shorter or a longer invitation letter; (c) a shorter or a longer web-based questionnaire, and (d) a reminder or not. The effects of the survey design factors were tested using chi-square. The use of a pre-notification (p < 0.0001), a longer questionnaire (p = 0.004) and the use of a reminder (p = 0.02) were associated with an increase in overall participation, i.e. responding to the questionnaire or providing blood for PCT or performing both components. The results of this pilot study justified the use of a pre-notification and a reminder in the following large population based study since the benefits of increased participation traded off against the greater costs incurred. Furthermore, we were able to use the longer version of the questionnaire, which allowed us to collect more information without risking a lower response rate.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 12%
Student > Bachelor 9 11%
Researcher 8 10%
Student > Ph. D. Student 6 7%
Student > Doctoral Student 6 7%
Other 15 18%
Unknown 30 36%
Readers by discipline Count As %
Medicine and Dentistry 11 13%
Nursing and Health Professions 9 11%
Psychology 7 8%
Agricultural and Biological Sciences 4 5%
Computer Science 3 4%
Other 14 17%
Unknown 36 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 July 2022.
All research outputs
#13,859,387
of 23,881,329 outputs
Outputs from BMC Medical Research Methodology
#1,314
of 2,102 outputs
Outputs of similar age
#219,632
of 446,418 outputs
Outputs of similar age from BMC Medical Research Methodology
#32
of 53 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,102 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 446,418 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.