Literature DB >> 17108634

Publication bias in medical informatics evaluation research: is it an issue or not?

Christof Machan1, Elske Ammenwerth, Thomas Bodner.   

Abstract

The phenomenon of publication bias has probably existed since results of scientific research are being published. Positive and/or statistically significant results seem more likely to be published than negative and/or insignificant results. However, it is unclear if there is a remarkable impact of publication bias in medical informatics evaluation literature and how aware researchers are of its effect. We conducted a small-scale study in order to find out what the ratio of papers describing positive results vs. negative results is, tried to find enough studies to a certain subject to carry out a meta-analysis and assess publication bias by statistical methods, and finally examined reviews and meta-analyses for their results and their quality. A random sample of 86 studies showed a remarkably high percentage of descriptions of positive results (69.8%). 19 (36.6%) of the analyzed 54 reviews and meta-analyses came to a positive conclusion with regard to the overall effect of the analyzed system, 32 (62.5%) were inconclusive, and only one review came to a negative conclusion. Quantitative assessment of publication bias for health informatics studies was found difficult due to the low number of comparable studies. Although there is no clear evidence for a great impact of publication bias in medical informatics evaluation literature, further research should carried out.

Mesh:

Year:  2006        PMID: 17108634

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  4 in total

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Authors:  Shimin Liu
Journal:  J Exp Stroke Transl Med       Date:  2009

2.  Publication bias in clinical trials of electronic health records.

Authors:  David K Vawdrey; George Hripcsak
Journal:  J Biomed Inform       Date:  2012-09-10       Impact factor: 6.317

Review 3.  The impact of eHealth on the quality and safety of health care: a systematic overview.

Authors:  Ashly D Black; Josip Car; Claudia Pagliari; Chantelle Anandan; Kathrin Cresswell; Tomislav Bokun; Brian McKinstry; Rob Procter; Azeem Majeed; Aziz Sheikh
Journal:  PLoS Med       Date:  2011-01-18       Impact factor: 11.069

4.  Publication and related biases in health services research: a systematic review of empirical evidence.

Authors:  Abimbola A Ayorinde; Iestyn Williams; Russell Mannion; Fujian Song; Magdalena Skrybant; Richard J Lilford; Yen-Fu Chen
Journal:  BMC Med Res Methodol       Date:  2020-06-01       Impact factor: 4.615

  4 in total

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