Improving interpretation of publically reported statistics on health and healthcare: the Figure Interpretation Assessment Tool (FIAT-Health).

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  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 101170481 Publication Model: Electronic Cited Medium: Internet ISSN: 1478-4505 (Electronic) Linking ISSN: 14784505 NLM ISO Abbreviation: Health Res Policy Syst Subsets: MEDLINE
    • Publication Information:
      Original Publication: [London] : BioMed Central, 2003-
    • Subject Terms:
      Communication* ; Comprehension* ; Data Interpretation, Statistical* ; Decision Making* ; Evidence-Based Medicine*; Delivery of Health Care/*statistics & numerical data ; Health/*statistics & numerical data; Decision Support Techniques ; Health Expenditures ; Humans ; Life Style ; Morbidity ; Netherlands ; Outcome Assessment, Health Care ; Quality Improvement ; Research Report ; Statistics as Topic
    • Abstract:
      Background: Policy-makers, managers, scientists, patients and the general public are confronted daily with figures on health and healthcare through public reporting in newspapers, webpages and press releases. However, information on the key characteristics of these figures necessary for their correct interpretation is often not adequately communicated, which can lead to misinterpretation and misinformed decision-making. The objective of this research was to map the key characteristics relevant to the interpretation of figures on health and healthcare, and to develop a Figure Interpretation Assessment Tool-Health (FIAT-Health) through which figures on health and healthcare can be systematically assessed, allowing for a better interpretation of these figures.
      Methods: The abovementioned key characteristics of figures on health and healthcare were identified through systematic expert consultations in the Netherlands on four topic categories of figures, namely morbidity, healthcare expenditure, healthcare outcomes and lifestyle. The identified characteristics were used as a frame for the development of the FIAT-Health. Development of the tool and its content was supported and validated through regular review by a sounding board of potential users.
      Results: Identified characteristics relevant for the interpretation of figures in the four categories relate to the figures' origin, credibility, expression, subject matter, population and geographical focus, time period, and underlying data collection methods. The characteristics were translated into a set of 13 dichotomous and 4-point Likert scale questions constituting the FIAT-Health, and two final assessment statements. Users of the FIAT-Health were provided with a summary overview of their answers to support a final assessment of the correctness of a figure and the appropriateness of its reporting.
      Conclusions: FIAT-Health can support policy-makers, managers, scientists, patients and the general public to systematically assess the quality of publicly reported figures on health and healthcare. It also has the potential to support the producers of health and healthcare data in clearly communicating their data to different audiences. Future research should focus on the further validation of the tool in practice.
    • References:
      J Gen Psychol. 2015;142(2):71-89. (PMID: 25832738)
      Int J Clin Pract. 2011 May;65(5):547-51. (PMID: 21489079)
      Am J Public Health Nations Health. 1951 Mar;41(3):271-8. (PMID: 14819397)
      JAMA. 2003 Jan 22-29;289(4):454-65. (PMID: 12533125)
      BMJ. 2001 Aug 4;323(7307):275-9. (PMID: 11485961)
      Lancet. 2007 Mar 17;369(9565):956-63. (PMID: 17368157)
      Milbank Q. 2015 Dec;93(4):788-825. (PMID: 26626986)
      Milbank Q. 2010 Dec;88(4):444-83. (PMID: 21166865)
      PLoS Med. 2005 Jul;2(7):e215. (PMID: 16033311)
      PLoS Med. 2012;9(9):e1001308. (PMID: 22984354)
      Patient Educ Couns. 2003 Sep;51(1):75-81. (PMID: 12915283)
      Adm Policy Ment Health. 2015 Sep;42(5):533-44. (PMID: 24193818)
      Perspect Biol Med. 2009 Spring;52(2):304-18. (PMID: 19395827)
      Health Res Policy Syst. 2016 Jun 10;14 (1):42. (PMID: 27282520)
      Int J Surg. 2014 Dec;12(12):1495-9. (PMID: 25046131)
      Ann Intern Med. 2010 Apr 20;152(8):531-2. (PMID: 20157099)
      J Am Med Inform Assoc. 2007 Nov-Dec;14(6):713-21. (PMID: 17712082)
      BMC Med Inform Decis Mak. 2013;13 Suppl 3:S3. (PMID: 24565117)
      N Engl J Med. 2010 Dec 23;363(26):2477-81. (PMID: 21142528)
      Am J Public Health. 1997 May;87(5):842-5. (PMID: 9184517)
      Qual Saf Health Care. 2003 Feb;12(1):18-23. (PMID: 12571340)
      Hum Reprod Update. 1999 Nov-Dec;5(6):621-6. (PMID: 10652971)
      Health Res Policy Syst. 2012 Mar 13;10:9. (PMID: 22414224)
      Health Res Policy Syst. 2009 Dec 16;7 Suppl 1:I1. (PMID: 20018098)
      Am J Epidemiol. 2006 Dec 15;164(12):1145-9. (PMID: 17041133)
      Ann Intern Med. 2009 May 5;150(9):613-8. (PMID: 19414840)
      J Health Serv Res Policy. 2008 Jan;13(1):40-6. (PMID: 18325155)
      Proc Natl Acad Sci U S A. 2014 Sep 16;111 Suppl 4:13664-71. (PMID: 25225390)
      PLoS One. 2008;3(10):e3552. (PMID: 18958167)
      Int J Drug Policy. 2015 Jun;26(6):560-8. (PMID: 26041731)
      Health Res Policy Syst. 2010 Sep 16;8:26. (PMID: 20846419)
      Vaccine. 2012 May 28;30(25):3747-56. (PMID: 22421558)
      Scand J Public Health. 2013 Dec;41(8):860-5. (PMID: 23873631)
      Ulster Med J. 1988 Oct;57(2):121-8. (PMID: 3232246)
      J Med Internet Res. 2015 Aug 05;17(8):e192. (PMID: 26245157)
      Eur J Public Health. 2014 Feb;24(1):73-8. (PMID: 23543677)
      Psychol Sci Public Interest. 2007 Nov;8(2):53-96. (PMID: 26161749)
      Cancer. 2004 Mar 1;100(5):1077-84. (PMID: 14983505)
      Public Underst Sci. 2016 Nov;25(8):961-975. (PMID: 26438569)
      Int J Drug Policy. 2009 Jan;20(1):70-5. (PMID: 18226519)
      BMC Public Health. 2015 Apr 15;15:381. (PMID: 25886054)
      Value Health. 2014 Mar;17(2):174-82. (PMID: 24636375)
      Worldviews Evid Based Nurs. 2007;4(3):156-63. (PMID: 17850496)
      Health Res Policy Syst. 2016 Mar 14;14 :17. (PMID: 26975200)
      Health Commun. 2009 Dec;24(8):764-72. (PMID: 20183385)
      Health Res Policy Syst. 2013 May 24;11:19. (PMID: 23705832)
      BMJ. 1995 Aug 5;311(7001):376-80. (PMID: 7640549)
      PLoS Med. 2016 Jun 28;13(6):e1002056. (PMID: 27351744)
      PLoS Med. 2004 Dec;1(3):e38. (PMID: 15630461)
      BMC Health Serv Res. 2014 Jan 03;14:2. (PMID: 24383766)
      Lancet. 1996 Apr 20;347(9008):1087-90. (PMID: 8602062)
      Implement Sci. 2012 May 31;7:50. (PMID: 22651257)
    • Contributed Indexing:
      Keywords: Evidence-informed decision-making; Science communication; Scientific reporting
    • Publication Date:
      Date Created: 20180309 Date Completed: 20180905 Latest Revision: 20191210
    • Publication Date:
      20240829
    • Accession Number:
      PMC5842564
    • Accession Number:
      10.1186/s12961-018-0279-z
    • Accession Number:
      29514711