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Pregled bibliografske jedinice broj: 1053884

Languages for different health information readers: multitrait-multimethod content analysis of Cochrane systematic reviews textual summary formats


Karačić, Jasna; Dondio, Pierpaolo; Buljan, Ivan; Hren, Darko; Marušić, Ana
Languages for different health information readers: multitrait-multimethod content analysis of Cochrane systematic reviews textual summary formats // Bmc medical research methodology, 19 (2019), 1; 75(2019), 9 doi:10.1186/s12874-019-0716-x (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1053884 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Languages for different health information readers: multitrait-multimethod content analysis of Cochrane systematic reviews textual summary formats

Autori
Karačić, Jasna ; Dondio, Pierpaolo ; Buljan, Ivan ; Hren, Darko ; Marušić, Ana

Izvornik
Bmc medical research methodology (1471-2288) 19 (2019), 1; 75(2019), 9

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Comprehension ; Consumer health information ; Health literacy ; Natural language processing

Sažetak
BACKGROUND: Although subjective expressions and linguistic fluency have been shown as important factors in processing and interpreting textual facts, analyses of these traits in textual health information for different audiences are lacking. We analyzed the readability and linguistic psychological and emotional characteristics of different textual summary formats of Cochrane systematic reviews. METHODS: We performed a multitrait-multimethod cross-sectional study of Press releases available at Cochrane web site (n = 162) and corresponding Scientific abstracts (n = 158), Cochrane Clinical Answers (n = 35) and Plain language summaries in English (n = 156), French (n = 101), German (n = 41) and Croatian (n = 156). We used SMOG index to assess text readability of all text formats, and natural language processing tools (IBM Watson Tone Analyzer, Stanford NLP Sentiment Analysis and Linguistic Inquiry and Word Count) to examine the affective states and subjective information in texts of Scientific abstracts, Plain language summaries and Press releases. RESULTS: All text formats had low readability, with SMOG index ranging from a median of 15.6 (95% confidence interval (CI) 15.3-15.9) for Scientific abstracts to 14.7 (95% CI 14.4-15.0) for Plain language summaries. In all text formats, "Sadness" was the most dominantly perceived emotional tone and the style of writing was perceived as "Analytical" and "Tentative". At the psychological level, all text formats exhibited the predominant "Openness" tone, and Press releases scored higher on the scales of "Conscientiousness", "Agreeableness" and "Emotional range". Press releases had significantly higher scores than Scientific abstracts and Plain language summaries on the dimensions of "Clout", and "Emotional tone". CONCLUSIONS: Although the readability of Plain language summaries was higher than that of text formats targeting more expert audiences, the required literacy was much higher than the recommended US 6th grade level. The language of Press releases was generally more engaging than that of Scientific abstracts and Plain language summaries, which are written by the authors of systematic reviews. Preparation of textual summaries about health evidence for different audiences should take into account readers' subjective experiences to encourage cognitive processing and reaction to the provided information.

Izvorni jezik
Engleski



POVEZANOST RADA


Ustanove:
Medicinski fakultet, Split,
Filozofski fakultet u Splitu

Profili:

Avatar Url Ivan Buljan (autor)

Avatar Url Ana Marušić (autor)

Avatar Url Ivan Buljan (autor)

Avatar Url Jasna Karačić (autor)

Avatar Url Darko Hren (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Karačić, Jasna; Dondio, Pierpaolo; Buljan, Ivan; Hren, Darko; Marušić, Ana
Languages for different health information readers: multitrait-multimethod content analysis of Cochrane systematic reviews textual summary formats // Bmc medical research methodology, 19 (2019), 1; 75(2019), 9 doi:10.1186/s12874-019-0716-x (međunarodna recenzija, članak, znanstveni)
Karačić, J., Dondio, P., Buljan, I., Hren, D. & Marušić, A. (2019) Languages for different health information readers: multitrait-multimethod content analysis of Cochrane systematic reviews textual summary formats. Bmc medical research methodology, 19 (1), 75(2019), 9 doi:10.1186/s12874-019-0716-x.
@article{article, author = {Kara\v{c}i\'{c}, Jasna and Dondio, Pierpaolo and Buljan, Ivan and Hren, Darko and Maru\v{s}i\'{c}, Ana}, year = {2019}, pages = {9}, DOI = {10.1186/s12874-019-0716-x}, chapter = {75(2019)}, keywords = {Comprehension, Consumer health information, Health literacy, Natural language processing}, journal = {Bmc medical research methodology}, doi = {10.1186/s12874-019-0716-x}, volume = {19}, number = {1}, issn = {1471-2288}, title = {Languages for different health information readers: multitrait-multimethod content analysis of Cochrane systematic reviews textual summary formats}, keyword = {Comprehension, Consumer health information, Health literacy, Natural language processing}, chapternumber = {75(2019)} }
@article{article, author = {Kara\v{c}i\'{c}, Jasna and Dondio, Pierpaolo and Buljan, Ivan and Hren, Darko and Maru\v{s}i\'{c}, Ana}, year = {2019}, pages = {9}, DOI = {10.1186/s12874-019-0716-x}, chapter = {75(2019)}, keywords = {Comprehension, Consumer health information, Health literacy, Natural language processing}, journal = {Bmc medical research methodology}, doi = {10.1186/s12874-019-0716-x}, volume = {19}, number = {1}, issn = {1471-2288}, title = {Languages for different health information readers: multitrait-multimethod content analysis of Cochrane systematic reviews textual summary formats}, keyword = {Comprehension, Consumer health information, Health literacy, Natural language processing}, chapternumber = {75(2019)} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Citati:





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