Evidence map›Paper›PMID 38446543›Full record

Trial reportJMIR public health and surveillance2024

The Framing Effect of Digital Textual Messages on Uptake Rates of Medical Checkups: Field Study.

Amnon Maltz, Stella Rashkovich, Adi Sarid, Yafit Cohen, Tamar Landau, Elina Saifer, Neta Amorai Belkin, Tamar Alcalay

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR public health and surveillance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. Review
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

8 authors.

Amnon MaltzDepartment of Economics, University of Haifa, Haifa, Israel.ORCID 0000-0003-3488-8223
Stella RashkovichNursing Division, Maccabi Healthcare Services, Tel Aviv, Israel.ORCID 0009-0008-1982-9763
Adi SaridSarid Research Services, Haifa, Israel.ORCID 0000-0001-8101-9130
Yafit CohenMarketing Automation Department, Maccbi Healthcare Services, Tel Aviv, Israel.ORCID 0009-0007-2184-0198
Tamar LandauAI & Big Data Department, Maccabi Healthcare Services, Tel Aviv, Israel.ORCID 0000-0001-6754-7033
Elina SaiferMarketing Automation Department, Maccbi Healthcare Services, Tel Aviv, Israel.ORCID 0009-0002-0021-4423
Neta Amorai BelkinMarketing Automation Department, Maccbi Healthcare Services, Tel Aviv, Israel.ORCID 0009-0005-3953-0409
Tamar AlcalayNursing Division, Maccabi Healthcare Services, Tel Aviv, Israel.ORCID 0009-0003-9022-2482

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care authorities often use text messages to enhance compliance with medical recommendations. The effectiveness of different message framings has been studied extensively over the past 3 decades. Recently, health care providers have begun using digital media platforms to disseminate health-related messages.

objectiveThis study aimed to examine the effectiveness of some of the most widely used message framings on the uptake rates of medical checkups.

methodsThis study used a large-scale digital outreach campaign conducted by Maccabi Healthcare Services (MHS) during 2020-2021, involving a total of 113,048 participants. MHS members aged 50-74 years were invited to take their recommended medical actions from the following list: human papillomavirus (HPV), mammography, abdominal aortic aneurysm, fecal occult blood test (FOBT), and pneumococcal vaccination. Each member was randomly assigned to receive 1 of 6 message framings: control (neutrally framed; n=20,959, 18.5%), gains (benefits of compliance; n=20,393, 18%), losses (negative consequences of noncompliance; n=15,165, 13.4%), recommendation (a recommendation by an authoritative figure, in this context by a physician; n=20,584, 18.2%), implementation intentions (linking potential outcomes to future reactions; n=20,701, 18.3%), and empowerment (emphasizing personal responsibility for maintaining good health; n=15,246, 13.5%). The time frames for measuring a successful intervention were 14 days for scheduling screenings (ie, HPV, mammography, or abdominal aortic aneurysm), 30 days for performing the FOBT, and 60 days for receiving pneumococcal vaccination. We also examined the effectiveness of media channels (text message or email) on uptake rates and whether the subject-line length is correlated with message-opening rates.

resultsNo significant effect of message framing on uptake rates of medical checkups was observed. The rates of appointments for screening ranged from 12.9% to 14.1% across treatments. Based on a chi-square test, there was no evidence to reject the null hypothesis that these compliance rates are independent of the treatments (P=.35). The uptake rates for the FOBT and pneumococcal vaccination ranged from 23.3% to 23.8% across treatments, and we could not reject the hypothesis that they are independent of the treatments (P=.88). We also found that emails are more effective than text messages (P<.001) and that the subject-line length is negatively correlated with message-opening rates.

conclusionsNo evidence was found for an effect of the 5 message framings on uptake rates of medical checkups. To enhance compliance rates, public health officials may consider alternative framings. Furthermore, media channels and the subject-line length should be given careful consideration in the planning stages of health care campaigns.

trial registrationAEA RCT Registry AEARCTR-0006317; https://www.socialscienceregistry.org/trials/6317/history/201365.

Indexed as

Aortic Aneurysm, AbdominalPapillomavirus InfectionsText MessagingAgedHealth FacilitiesHumansInternetMiddle Agedbehavior changecancer screeningfecal occult blood test (FOBT)field experimentframingmammographynudgevaccination

Identifiers

PMID38446543
PMCPMC10955408

What OpenQuestion holds

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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.