Evidence map›Paper›PMID 40460433›Full record

Observational studyJMIR mental health2025

Efficient Online Recruitment of Patients With Depressive Symptoms Using Social Media: Cross-Sectional Observational Study.

Carolin Haas, Lisa Klein, Marlene Heckl, Marija Kesić, Ann-Katrin Rueß, Jochen Gensichen, Karoline Lukaschek, Tobias Kruse, POKAL-Group

Abstract readObservational Study
In one paragraph

Observational study in JMIR mental health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. Observational
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

9 authors.

Carolin Haas *Institute of General Practice and Family Medicine, University Hospital, LMU Munich, Munich, Germany.ORCID 0009-0008-4701-8271
Lisa Klein *Trials24 GmbH, SubjectWell, Munich, Germany.ORCID 0009-0008-5374-4990
Marlene HecklIndependent researcher (Psychiatry), Munich, Germany.ORCID 0000-0003-4295-3689
Marija KesićTrials24 GmbH, SubjectWell, Munich, Germany.ORCID 0009-0005-8347-5152
Ann-Katrin RueßTrials24 GmbH, SubjectWell, Munich, Germany.ORCID 0009-0002-9885-4487
Jochen GensichenInstitute of General Practice and Family Medicine, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0003-0644-8597
Karoline Lukaschek *Institute of General Practice and Family Medicine, University Hospital, LMU Munich, Munich, Germany.ORCID 0000-0002-7966-2001
Tobias Kruse *Trials24 GmbH, SubjectWell, Munich, Germany.ORCID 0009-0005-8579-6099
POKAL-GroupSee Acknowledgments, .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver 80% of trials worldwide fail to complete patient recruitment within the initially planned time frame. Over the past decade, the use of social media for recruitment in medical research has become increasingly popular. While Google and Facebook are well established, newer social media channels such as Instagram and TikTok garner less research attention as recruitment tools. Although some studies have investigated the advantages and disadvantages of using social media for recruitment, a considerable gap still exists in understanding the precise mechanisms and factors that make different social media platforms most effective and cost-efficient for patient recruitment in mental health studies.

objectiveThis study evaluates the effectiveness of recruitment strategies implemented during the investigative phase of a validation study for a new suicidality assessment questionnaire optimized for primary care.

methodsWe describe how online recruitment contributed to the enrollment of patients with depressive symptoms for the validation of a suicidality questionnaire (Suicide Prevention in Primary Care), which required over 500 participants. To this end, we analyzed differences in sample demographics between traditionally recruited and online participants, compared advertising metrics and conversion rates, and conducted a cost-benefit analysis.

resultsWe found online recruitment to be a fast and efficient method of securing the required number of participants with depressive symptoms for the study and increasing patient diversity. Considering the distribution of gender, age, and Patient Health Questionnaire-9 scores, participants recruited offline and online were equally eligible for the study. Online recruitment demonstrated high advertising efficiency. For example, the study population responded well to video advertisements on social media; these performed 50% to 70% more cost-efficiently than the best image advertisements. Moreover, a long website copy proved slightly better than a short version. Pixel tracking for improved advertisement targeting reduced advertising costs per suitable participant by 83.3%, making the advertisements 6 times more cost-efficient.

conclusionsSocial media recruitment increased the diversity of patients in the studies and proved suitable for vulnerable and hard-to-reach populations. The total cost per patient recruited online was comparable to that achieved using offline methods, but overall recruitment progressed faster. In this study, implementing video advertisements and pixel tracking resulted in significant cost savings.

Indexed as

DepressionPatient SelectionSocial MediaAdultAgedCost-Benefit AnalysisCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairesartificial intelligencedepressiondigital patient recruitmentonline patient recruitmentsocial media recruitmentsuicidality

Identifiers

PMID40460433
PMCPMC12174873

What OpenQuestion holds

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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.