Evidence map›Paper›PMID 38448892›Full record

ArticleBMC medical education2024

Development and validation of self-assessment instrument to measure the digital professionalism of healthcare professionals using social media.

Shazia Imran, Rahila Yasmeen, Memoona Mansoor

Abstract read
In one paragraph

Article in BMC medical education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Shazia ImranDepartment of Anatomy, NUST School of Health Sciences (NSHS), National University of Science and Technology, Islamabad, Pakistan. drshaziahassan@gmail.com.ORCID http://orcid.org/0000-0001-8385-7568
Rahila YasmeenDean Riphah Academy of Research & Education, Riphah International University, Islamabad, Pakistan.ORCID http://orcid.org/0000-0001-9839-6987
Memoona MansoorDepartment of Medical Education, Islamabad Medical & Dental College, Shaheed Zulfiqar Ali Bhutto Medical University, Islamabad, Pakistan.ORCID http://orcid.org/0000-0001-9150-9563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of social media across the globe has risen incrementally. During the COVID-19 pandemic, these sites undeniably provided new avenues for professional networking but also led to a surge in cases of online misconduct. Professionalism instruments and scales do not assess the digital attitude and behaviour of healthcare professionals (HCPs). The purpose of this study was to identify the domains and items of digital professionalism related to social media use and to validate a self-assessment instrument to assess the digital professionalism of HCPs using social media.

methodsAn instrument development multiphase mixed method study (exploratory sequential) was conducted in two phases: item development and qualitative content validation followed by validation of the instrument. Feedback was taken from 15 experts for qualitative content validation in phase 1. In phase 2, content validity was established through three rounds of modified Delphi. Validity evidence was collected for the content (content validity index), response process (cognitive interviews), internal structure (confirmatory factor analysis), and internal consistency (Cronbach's alpha).

resultsThe 48-item preliminary instrument was reduced to a 28-item instrument with eight domains: self-anonymity, privacy settings, maintenance of boundaries and confidentiality, conflict of interest, accountability, respect for colleagues, and ethics. The content validity index of the scale was 0.91. The reliability and construct validity of the instrument was established by responses from 500 healthcare professionals from multiple hospitals. Confirmatory factor analysis showed a model with a goodness-of-fit index of 0.86, root mean square error of approximation of 0.06, and observed normed χ

conclusionThe digital professionalism self-assessment instrument (DP-SAI) has an appropriate level of content and measures the construct reliably. It can be used by medical doctors, dental clinicians, nurses, physiotherapists, and clinical pharmacists to self-assess and reflect on their social media practices. This will help to address these issues to enhance the quality of online communication through various social media platforms.

Indexed as

Physical TherapistsSocial MediaDelivery of Health CareHumansPandemicsProfessionalismReproducibility of ResultsSelf-AssessmentDigital professionalismHealthcare professionalsReliabilitySocial mediaValidity

Identifiers

PMID38448892
PMCPMC10919038

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Registered trials

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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.