Evidence map›Paper›PMID 36378100›Full record

ArticleTranslational behavioral medicine2022

Advancing multi-level health communication research: A Delphi study on barriers and opportunities.

April Y Oh, Camella J Rising, Anna Gaysynsky, Sophia Tsakraklides, Grace C Huang, Wen-Ying Sylvia Chou, Kelly D Blake, Robin C Vanderpool

Open access · hybridAbstract read
In one paragraph

Article in Translational behavioral medicine, 2022. 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
1.6field-weighted citation impact, top 13% of its field
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, 6 citations in OpenAlex.

  1. Article
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  4. Review
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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

8 authors at 2 institutions in 1 country.

April Y OhImplementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Camella J RisingClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Anna GaysynskyHealth Communication and Informatics Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.ORCID 0000-0001-5612-5572
Sophia TsakraklidesPublic Health and Epidemiology, Westat, Rockville, MD, USA.
Grace C HuangPublic Health and Epidemiology, Westat, Rockville, MD, USA.
Wen-Ying Sylvia ChouHealth Communication and Informatics Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Kelly D BlakeHealth Communication and Informatics Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
Robin C VanderpoolHealth Communication and Informatics Research Branch, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD, USA.
National Cancer Institute · USWestat (United States) · US

Funding

NCI NIH HHS HHSN261201800002BNCI NIH HHS HHSN261201800002C
6 · The paper itself

Abstract

Adopting a multi-level perspective that considers the many interrelated contexts influencing health could make health communication interventions more effective and equitable. However, despite increasing interest in the use of multi-level approaches, multi-level health communication (MLHC) interventions are infrequently utilized. We therefore sought to conduct a modified Delphi study to better understand how researchers conceptualize MLHC interventions and identify opportunities for advancing MLHC work. Communication and health behavior experts were invited to complete two rounds of surveys about the characteristics, benefits, pitfalls, best practices, barriers, and facilitators of MLHC interventions; the role of technology in facilitating MLHC interventions; and ways to advance MLHC intervention research (46 experts completed the first survey, 44 completed both surveys). Survey data were analyzed using a mixed-methods approach. Panelists reached consensus on two components of the proposed definition of MLHC interventions and also put forward a set of best practices for these interventions. Panelists felt that most health intervention research could benefit from a multi-level approach, and generally agreed that MLHC approaches offered certain advantages over single-level approaches. However, they also expressed concern related to the time, cost, and complexity of MLHC interventions. Although panelists felt that technology could potentially support MLHC interventions, they also recognized the potential for technology to exacerbate disparities. Finally, panelists prioritized a set of methodological advances and practical supports that would be needed to facilitate future MLHC intervention research. The results of this study point to several future directions for the field, including advancing how interactions between levels are assessed, increasing the empirical evidence base demonstrating the advantages of MLHC interventions, and identifying best practices for the use of technology. The findings also suggest that researchers may need additional support to overcome the perceived practical challenges of conducting MLHC interventions.

Indexed as

Health CommunicationInterdisciplinary CommunicationConsensusDelphi TechniqueHumansSurveys and QuestionnairesDelphi studyEcological perspectiveHealth communicationMulti-level interventions

Identifiers

PMID36378100
PMCPMC9802573
OpenAlexW4309094943

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.