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Published in: BMC Public Health 1/2017

Open Access 01-12-2017 | Research article

The development and validation of an instrument to measure the quality of health research reports in the lay media

Authors: Dena Zeraatkar, Michael Obeda, Jeffrey S. Ginsberg, Jack Hirsh

Published in: BMC Public Health | Issue 1/2017

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Abstract

Background

The media serves as an important link between medical research, as reported in scholarly sources, and the public and has the potential to act as a powerful tool to improve public health. However, concerns about the reliability of health research reports have been raised. Tools to monitor the quality of health research reporting in the media are needed to identify areas of weakness in health research reporting and to subsequently work towards the efficient use of the lay media as a public health tool through which the public’s health behaviors can be improved.

Methods

We developed the Quality Index for health-related Media Reports (QIMR) as a tool to monitor the quality of health research reports in the lay media. The tool was developed according to themes generated from interviews with health journalists and researchers. Item and domain characteristics and scale reliability were assessed. The scale was correlated with a global quality assessment score and media report word count to provide evidence towards its construct validity.

Results

The items and domains of the QIMR demonstrated acceptable validity and reliability. Items from the ‘validity’ domain were negatively skewed, suggesting possible floor effect. These items were not eliminated due to acceptable content and face validity. QIMR total scores produced a strong correlation with raters’ global assessment and a moderate correlation with media report word count, providing evidence towards the construct validity of the instrument.

Conclusions

The results of this investigation indicate that QIMR can adequately measure the quality of health research reports, with acceptable reliability and validity.
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Literature
1.
go back to reference Martin S. Nearly a quarter of Canadians head online for health info. Can Med Assoc J. 2000;163(10):1328–1328-a. Martin S. Nearly a quarter of Canadians head online for health info. Can Med Assoc J. 2000;163(10):1328–1328-a.
3.
go back to reference Grilli R, Ramsay C, Minozzi S: Mass media interventions: effects on health services utilisation. Cochrane Libr. 2002. Grilli R, Ramsay C, Minozzi S: Mass media interventions: effects on health services utilisation. Cochrane Libr. 2002.
4.
go back to reference Chapman S, McLeod K, Wakefield M, Holding S. Impact of news of celebrity illness on breast cancer screening: Kylie Minogue's breast cancer diagnosis. Med J Aust. 2005;183(5):247.PubMed Chapman S, McLeod K, Wakefield M, Holding S. Impact of news of celebrity illness on breast cancer screening: Kylie Minogue's breast cancer diagnosis. Med J Aust. 2005;183(5):247.PubMed
5.
go back to reference Wakefield M, Szczypka G, Terry-McElrath Y, Emery S, Flay B, Chaloupka F, Saffer H. Mixed messages on tobacco: comparative exposure to public health, tobacco company-and pharmaceutical company-sponsored tobacco-related television campaigns in the United States, 1999–2003. Addiction. 2005;100(12):1875–83.CrossRefPubMed Wakefield M, Szczypka G, Terry-McElrath Y, Emery S, Flay B, Chaloupka F, Saffer H. Mixed messages on tobacco: comparative exposure to public health, tobacco company-and pharmaceutical company-sponsored tobacco-related television campaigns in the United States, 1999–2003. Addiction. 2005;100(12):1875–83.CrossRefPubMed
6.
go back to reference Moynihan R, Bero L, Ross-Degnan D, Henry D, Lee K, Watkins J, Mah C, Soumerai SB. Coverage by the news media of the benefits and risks of medications. N Engl J Med. 2000;342(22):1645–50.CrossRefPubMed Moynihan R, Bero L, Ross-Degnan D, Henry D, Lee K, Watkins J, Mah C, Soumerai SB. Coverage by the news media of the benefits and risks of medications. N Engl J Med. 2000;342(22):1645–50.CrossRefPubMed
7.
go back to reference Chen X, Siu LL. Impact of the media and the internet on oncology: survey of cancer patients and oncologists in Canada. J Clin Oncol. 2001;19(23):4291–7.CrossRefPubMed Chen X, Siu LL. Impact of the media and the internet on oncology: survey of cancer patients and oncologists in Canada. J Clin Oncol. 2001;19(23):4291–7.CrossRefPubMed
8.
go back to reference Smith DE, Wilson AJ, Henry DA. Monitoring the quality of medical news reporting: early experience with media doctor. Med J Aust. 2005;183(4):190.PubMed Smith DE, Wilson AJ, Henry DA. Monitoring the quality of medical news reporting: early experience with media doctor. Med J Aust. 2005;183(4):190.PubMed
9.
go back to reference Wilson A, Bonevski B, Jones A, Henry D. Media reporting of health interventions: signs of improvement, but major problems persist. PLoS One. 2009;4(3):e4831.CrossRefPubMedPubMedCentral Wilson A, Bonevski B, Jones A, Henry D. Media reporting of health interventions: signs of improvement, but major problems persist. PLoS One. 2009;4(3):e4831.CrossRefPubMedPubMedCentral
10.
go back to reference Schwartz LM, Woloshin S, Andrews A, Stukel TA. Influence of medical journal press releases on the quality of associated newspaper coverage: retrospective cohort study. BMJ. 2012;344:d8164.CrossRefPubMedPubMedCentral Schwartz LM, Woloshin S, Andrews A, Stukel TA. Influence of medical journal press releases on the quality of associated newspaper coverage: retrospective cohort study. BMJ. 2012;344:d8164.CrossRefPubMedPubMedCentral
11.
go back to reference Yavchitz A, Boutron I, Bafeta A, Marroun I, Charles P, Mantz J, Ravaud P. Misrepresentation of randomized controlled trials in press releases and news coverage: a cohort study. PLoS Med. 2012;9(9):e1001308.CrossRefPubMedPubMedCentral Yavchitz A, Boutron I, Bafeta A, Marroun I, Charles P, Mantz J, Ravaud P. Misrepresentation of randomized controlled trials in press releases and news coverage: a cohort study. PLoS Med. 2012;9(9):e1001308.CrossRefPubMedPubMedCentral
12.
go back to reference Haneef R, Lazarus C, Ravaud P, Yavchitz A, Boutron I. Interpretation of results of studies evaluating an intervention highlighted in Google health news: a cross-sectional study of news. PLoS One. 2015;10(10):e0140889.CrossRefPubMedPubMedCentral Haneef R, Lazarus C, Ravaud P, Yavchitz A, Boutron I. Interpretation of results of studies evaluating an intervention highlighted in Google health news: a cross-sectional study of news. PLoS One. 2015;10(10):e0140889.CrossRefPubMedPubMedCentral
13.
go back to reference Oxman AD, Guyatt GH, Cook DJ, Jaeschke R, Heddle N, Keller J. An index of scientific quality for health reports in the lay press. J Clin Epidemiol. 1993;46(9):987–1001.CrossRefPubMed Oxman AD, Guyatt GH, Cook DJ, Jaeschke R, Heddle N, Keller J. An index of scientific quality for health reports in the lay press. J Clin Epidemiol. 1993;46(9):987–1001.CrossRefPubMed
14.
go back to reference Moult B, Franck LS, Brady H. Ensuring quality information for patients: development and preliminary validation of a new instrument to improve the quality of written health care information. Health Expect. 2004;7(2):165–75.CrossRefPubMedPubMedCentral Moult B, Franck LS, Brady H. Ensuring quality information for patients: development and preliminary validation of a new instrument to improve the quality of written health care information. Health Expect. 2004;7(2):165–75.CrossRefPubMedPubMedCentral
15.
go back to reference Charnock D, Shepperd S, Needham G, Gann R. DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health. 1999;53(2):105–11.CrossRefPubMedPubMedCentral Charnock D, Shepperd S, Needham G, Gann R. DISCERN: an instrument for judging the quality of written consumer health information on treatment choices. J Epidemiol Community Health. 1999;53(2):105–11.CrossRefPubMedPubMedCentral
16.
go back to reference Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use. USA: Oxford University Press; 2015. Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use. USA: Oxford University Press; 2015.
17.
go back to reference Hawthorne G, Mouthaan J, Forbes D, Novaco RW. Response categories and anger measurement: do fewer categories result in poorer measurement? Soc Psychiatry Psychiatr Epidemiol. 2006;41(2):164–72.CrossRefPubMed Hawthorne G, Mouthaan J, Forbes D, Novaco RW. Response categories and anger measurement: do fewer categories result in poorer measurement? Soc Psychiatry Psychiatr Epidemiol. 2006;41(2):164–72.CrossRefPubMed
18.
go back to reference Nishisato S, Torii Y. Effects of categorizing continuous normal variables on product-moment correlation. Japanese Psychol Res. 1971;13(1):45–9. Nishisato S, Torii Y. Effects of categorizing continuous normal variables on product-moment correlation. Japanese Psychol Res. 1971;13(1):45–9.
19.
go back to reference Miller GA. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev. 1956;63(2):81.CrossRefPubMed Miller GA. The magical number seven, plus or minus two: some limits on our capacity for processing information. Psychol Rev. 1956;63(2):81.CrossRefPubMed
20.
go back to reference Brouwers MC, Kho ME, Browman GP, Burgers JS, Cluzeau F, Feder G, Fervers B, Graham ID, Grimshaw J, Hanna SE. AGREE II: advancing guideline development, reporting and evaluation in health care. Can Med Assoc J. 2010;182(18):E839–42.CrossRef Brouwers MC, Kho ME, Browman GP, Burgers JS, Cluzeau F, Feder G, Fervers B, Graham ID, Grimshaw J, Hanna SE. AGREE II: advancing guideline development, reporting and evaluation in health care. Can Med Assoc J. 2010;182(18):E839–42.CrossRef
21.
go back to reference Brennan RL. Generalizability theory. Educ Meas: Issues Pract. 1992;11(4):27–34.CrossRef Brennan RL. Generalizability theory. Educ Meas: Issues Pract. 1992;11(4):27–34.CrossRef
22.
go back to reference Portney LG, Watkins MP. Statistical measures of reliability. Foundations Clin Res: Appl Pract. 2000;2:557–86. Portney LG, Watkins MP. Statistical measures of reliability. Foundations Clin Res: Appl Pract. 2000;2:557–86.
23.
go back to reference Norman G. Likert scales, levels of measurement and the “laws” of statistics. Adv Health Sci Educ. 2010;15(5):625–32.CrossRef Norman G. Likert scales, levels of measurement and the “laws” of statistics. Adv Health Sci Educ. 2010;15(5):625–32.CrossRef
Metadata
Title
The development and validation of an instrument to measure the quality of health research reports in the lay media
Authors
Dena Zeraatkar
Michael Obeda
Jeffrey S. Ginsberg
Jack Hirsh
Publication date
01-12-2017
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2017
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-017-4259-y

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