Evidence map›Paper›PMID 40063590›Full record

ArticlePloS one2025

Development of a questionnaire for problematic social networking sites use: Ensuring content validity through Delphi methodology.

Seungju Lim, Ji-Hyuk Park

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Seungju LimDepartment of Occupational Therapy, Graduate School, Yonsei University, Wonju, South Korea.ORCID https://orcid.org/0000-0001-9263-4649
Ji-Hyuk ParkDepartment of Occupational Therapy, College of Software and Digital Healthcare Convergence, Yonsei University, Wonju, South Korea.ORCID https://orcid.org/0000-0002-1041-2266

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to develop a questionnaire to assess problematic social network service use (PSNSU) applicable to both adolescents and adults to ensure content validity.

methodsA Delphi survey methodology with a panel of 16 experts was employed from April to June 2024 to ensure the content validity of the PSNSU assessment tool. This study involved three rounds of Delphi surveys to collect both open- and closed-ended responses to the PSNSU questionnaire. Data analysis focused on calculating the content validity ratio (CVR), stability, and consensus of each item. Items that did not meet the threshold criteria were revised or removed based on expert feedback.

resultsThe PSNSU questionnaire initially included three domains and 59 items. Following Round 1 of the Delphi survey, three domains, 11 subdomains, and 43 items were selected. After adding and modifying the domains and items, Round 2 resulted in a questionnaire with two domains, 10 subdomains, and 42 items. In Round 3, the revised PSNSU questionnaire showed an average CVR of 0.99, a stability of 0.10, and consensus of 0.97, thus concluding the Delphi process.

conclusionsThe final PSNSU questionnaire encompasses a wide range of issues related to addictive behaviors and occupational challenges. Content validity was validated through the Delphi survey, resulting in a comprehensive tool that reflects the multidimensional characteristics of PSNSU across different life stages. This tool can be used for both clinical assessments and research to better understand and address PSNSU.

Indexed as

Behavior, AddictiveSocial NetworkingAdolescentAdultConsensusDelphi TechniqueFemaleHumansMaleMiddle AgedReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID40063590
PMCPMC11892839

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.