title: Quality of health news disseminated in the print media in developing countries: a case study in Iran.
abstract: BACKGROUND
  Mass media play an important role in keeping people up-to-date with the latest health news. This study aims at investigating the quality of health news disseminated in the print media, its course of production and factors affecting its quality.
  
  
  METHODS
  In the quantitative section of the study, 410 health-related news items, published during a six-month span in the Iranian public press, underwent content analysis. In the qualitative section, focus group discussions were held with journalists, editors-in-chief and news gatekeepers.
  
  
  RESULTS
  The quantitative phase showed that 18% of the news articles were not fit for dissemination in public. The qualitative phase illustrated that multiple factors at various levels affect the quality of news, namely poor knowledge, inadequate motivations and context-related barriers.
  
  
  CONCLUSIONS
  The quality of health news reporting is not desirable. Educational interventions need to be carried out to raise awareness among researchers and journalists. Also, certain steps should be taken to increase motivations and strengthen infrastructures, including designing guidelines and monitoring news.
authors.affiliation: Knowledge Utilization Research Centre (KURC), Tehran University of Medical Sciences, Tehran, Iran.
authors.forename: Mahnaz
authors.initials: M
authors.lastname: Ashorkhani
authors.forename: Jaleh
authors.initials: J
authors.lastname: Gholami
authors.forename: Katayoun
authors.initials: K
authors.lastname: Maleki
authors.forename: Sima
authors.initials: S
authors.lastname: Nedjat
authors.forename: Jalaledin
authors.initials: J
authors.lastname: Mortazavi
authors.forename: Reza
authors.initials: R
authors.lastname: Majdzadeh
mesh_terms: D003906:Developing Countries; D006801:Humans; D033181:Information Dissemination; D007492:Iran; D008402:Mass Media / Q000592:standards*; D009524:Newspapers as Topic / Q000592:standards* / Q000706:statistics & numerical data; D019982:Organizational Case Studies