Evidence map›Paper›PMID 27220976›Full record

Trial reportBMC public health2016

Tailored message interventions versus typical messages for increasing participation in colorectal cancer screening among a non-adherent population: A randomized controlled trial.

Kei Hirai, Yoshiki Ishikawa, Jun Fukuyoshi, Akio Yonekura, Kazuhiro Harada, Daisuke Shibuya, Seiichiro Yamamoto, Yuri Mizota, Chisato Hamashima, Hiroshi Saito

Erratum issuedAbstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Article
  7. Article
  8. Early colorectal cancer screening-no time to lose.World journal of gastroenterology · 2024
    Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Cancer Prevention Using Machine Learning, Nudge Theory and Social Impact Bond.International journal of environmental research and public health · 2020
    Article
  16. Article
  17. Epigenetic Biomarkers in Colorectal Cancer.Molecular diagnosis & therapy · 2017
    Review
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Kei HiraiGraduate School of Human Sciences, and Graduate School of Medicine, Osaka University, 2-2, Yamadaoka, Suita-shi, Osaka, 565-0871, Japan. khirai@grappo.jp.
Yoshiki IshikawaDepartment of Health and Social Behavior, School of Public Health, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Jun FukuyoshiCancer Scan, Tokyo, Japan.
Akio YonekuraCancer Scan, Tokyo, Japan.
Kazuhiro HaradaGraduate School of Human Development and Environment, Kobe University, Kobe, Japan.
Daisuke ShibuyaCancer Detection Center, Miyagi Cancer Society, Miyagi, Japan.
Seiichiro YamamotoPublic Health Policy Research Division, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan.
Yuri MizotaPublic Health Policy Research Division, Research Center for Cancer Prevention and Screening, National Cancer Center, Tokyo, Japan.
Chisato HamashimaScreening Assessment and Management Division, National Cancer Center, Tokyo, Japan.
Hiroshi SaitoScreening Assessment and Management Division, National Cancer Center, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to examine the effectiveness and cost-efficiency of a tailored message intervention compared with a non-tailored message intervention for increasing colorectal cancer (CRC) screening rates among a non-adherent population, in a community-based client reminder program.

methodsAfter a baseline survey for psychological segmentation, 2140 eligible individuals were randomly assigned either to a group with a tailored matched-message condition (N = 356), a group with a non-tailored unmatched-message condition (N = 355), or to two control groups, one using a typical message with a professional design (N = 717) and one without a professional design (N = 712). The main outcome measure was attendance rates in a community-organized CRC screening program within five months of receiving a print reminder.

resultsThere was a significant difference in fecal occult blood test (FOBT) attendance rates at follow-up assessments between the tailored matched-message condition (14.0 %) and the control (9.9 %; OR = 1.48, p = 0.026), while there was no significant difference between the unmatched-message condition (11.0 %) and the control (OR = 1.12, p = 0.558), and between the matched-message condition and the unmatched-message condition (OR = 1.32, p = 0.219). The cost of a one-person increase in FOBT screening was 3,740 JPY for the tailored matched-message condition, while it was 2,747 JPY for the control.

conclusionsA tailored-message intervention for segmented individuals designed to increase CRC screening rates in a community-based client reminder program was significantly effective compared to a usual reminder, but not more effective than an unmatched message in a randomized controlled trial, and was not sufficiently effective to highlight its value from a cost perspective. Therefore, the tailored intervention including target segmentation needs to be improved for future implementation in a CRC screening program for a non-adherent population.

trial registrationUMIN Clinical Trials Registry UMIN000004384 . Date of Registration: March 2011.

Indexed as

Occult BloodPatient ComplianceAdultAgedColorectal NeoplasmsCost-Benefit AnalysisEarly Detection of CancerFemaleHealth PromotionHumansJapanMaleMass ScreeningMiddle AgedReminder SystemsCancer worryCost-effectivenessCRC screeningNon-adherent populationTailored intervention

Identifiers

PMID27220976
PMCPMC4877938

What OpenQuestion holds

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Registered trials

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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.