Evidence map›Paper›PMID 36920443›Full record

ArticleJournal of medical Internet research2023

Cues Disseminated by Professional Associations That Represent 5 Health Care Professions Across 5 Nations: Lexical Analysis of Tweets.

Ann Dadich, Rebecca Wells, Sharon J Williams, Nazim Taskin, Mustafa Coskun, Corinne Grenier, Frederic Ponsignon, Shane Scahill, Stephanie Best

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Engaging with Culturally and Linguistically Diverse Communities to Promote Palliative Care That Exceeds Expectation.Health expectations : an international journal of public participation in health care and health policy · 2024
    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

9 authors.

Ann DadichSchool of Business, Western Sydney University, Parramatta, Australia.ORCID 0000-0001-5767-1794
Rebecca WellsDepartment of Management, Policy and Community Health, University of Texas, Texas, TX, United States.ORCID 0000-0002-1526-3263
Sharon J WilliamsSchool of Health & Social Care, Swansea University, Swansea, United Kingdom.ORCID 0000-0001-5377-7401
Nazim TaskinDepartment of Management Information Systems, Boğaziçi University, Istanbul, Turkey.ORCID 0000-0002-5327-9012
Mustafa CoskunDepartment of Management Information Systems, Boğaziçi University, Istanbul, Turkey.ORCID 0000-0001-6670-8886
Corinne GrenierKedge Business School, Talence, France.ORCID 0000-0001-6835-1411
Frederic PonsignonKedge Business School, Talence, France.ORCID 0000-0003-0194-5236
Shane ScahillFaculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-5350-696X
Stephanie BestPeter MacCallum Cancer Centre, Melbourne, Australia.ORCID 0000-0002-1107-8976

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCollaboration across health care professions is critical in efficiently and effectively managing complex and chronic health conditions, yet interprofessional care does not happen automatically. Professional associations have a key role in setting a profession's agenda, maintaining professional identity, and establishing priorities. The associations' external communication is commonly undertaken through social media platforms, such as Twitter. Despite the valuable insights potentially available into professional associations through such communication, to date, their messaging has not been examined.

objectiveThis study aimed to identify the cues disseminated by professional associations that represent 5 health care professions spanning 5 nations.

methodsUsing a back-iterative application programming interface methodology, public tweets were sourced from professional associations that represent 5 health care professions that have key roles in community-based health care: general practice, nursing, pharmacy, physiotherapy, and social work. Furthermore, the professional associations spanned Australia, Canada, New Zealand, the United Kingdom, and the United States. A lexical analysis was conducted of the tweets using Leximancer (Leximancer Pty Ltd) to clarify relationships within the discourse.

resultsAfter completing a lexical analysis of 50,638 tweets, 7 key findings were identified. First, the discourse was largely devoid of references to interprofessional care. Second, there was no explicit discourse pertaining to physiotherapists. Third, although all the professions represented in this study support patients, discourse pertaining to general practitioners was most likely to be connected with that pertaining to patients. Fourth, tweets pertaining to pharmacists were most likely to be connected with discourse pertaining to latest and research. Fifth, tweets about social workers were unlikely to be connected with discourse pertaining to health or care. Sixth, notwithstanding a few exceptions, the findings across the different nations were generally similar, suggesting their generality. Seventh and last, tweets pertaining to physiotherapists were most likely to refer to discourse pertaining to profession.

conclusionsThe findings indicate that health care professional associations do not use Twitter to disseminate cues that reinforce the importance of interprofessional care. Instead, they largely use this platform to emphasize what they individually deem to be important and advance the interests of their respective professions. Therefore, there is considerable opportunity for professional associations to assert how the profession they represent complements other health care professions and how the professionals they represent can enact interprofessional care for the benefit of patients and carers.

Indexed as

CuesSocial MediaCanadaCommunicationDelivery of Health CareHumansPharmacistsUnited Statescollaborationknowledge translationprofessional associationsprofessional identitysocial media

Identifiers

PMID36920443
PMCPMC10131722

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.