Evidence map›Paper›PMID 35927547›Full record

Trial reportJournal of behavioral medicine2023

Is tailored messaging more effective? An analysis of a digital health intervention to promote HPV vaccination intent among Latinx.

Jenna E Reno, Carter Sevick, Julie Maertens, Amanda F Dempsey

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
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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

4 authors.

Jenna E RenoRTI International, Research Triangle Park, NC, USA. jreno@rti.org.ORCID 0000-0003-3343-8108
Carter SevickSchool of Medicine, University of Colorado, Aurora, CO, USA.
Julie MaertensSchool of Medicine, University of Colorado, Aurora, CO, USA.
Amanda F DempseySchool of Medicine, University of Colorado, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latinx populations have unique barriers to HPV vaccination. In the current study, we assessed the effectiveness of an online intervention to increase HPV vaccination intentions among patients of clinics that principally serve a Latinx population (n = 85%) as part of a randomized control trial (RCT). Participants viewed on an iPad either an individually tailored educational website (CHiCOS) or untailored information derived from the Vaccine Information Sheet (VIS) for HPV. Vaccination intention and related covariates were assessed via survey items administered before (pre-test) and after (post-test) viewing the material. No statistically significant differences were seen in changes of intention to vaccinate between groups (N = 1294). However, 16% of all (tailored and untailored combined) participants increased in their intention to vaccinate, while 7% decreased in intention. Overall 72% of participants had high intentions to vaccinate, yet far fewer actually received a vaccine dose. The current study explores implications of the demonstrated intention-behavior gap. As such, it presents opportunities to improve future interventions-specifically those that employ tailored messaging.

Indexed as

Culturally Competent CareHealth PromotionHispanic or LatinoPapillomavirus InfectionsPapillomavirus VaccinesVaccinationHealth Knowledge, Attitudes, PracticeHumansIntentionInternetPatient Acceptance of Health CarePapillomavirus VaccinesCultural targetingHPV vaccinationTailored messagingVaccine hesitancyWeb-based interventions

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.