Open Access

Erratum to: The effectiveness of substitution of hospital ward care from medical doctors to physician assistants: a study protocol

  • Marijke J. C. Timmermans1Email author,
  • Anneke J. A. H. van Vught2,
  • Michel Wensing1 and
  • Miranda G. H. Laurant1, 2
BMC Health Services ResearchBMC series – open, inclusive and trusted201616:115

https://doi.org/10.1186/s12913-016-1330-9

Received: 10 July 2014

Accepted: 3 March 2016

Published: 4 April 2016

The original article was published in BMC Health Services Research 2014 14:43

Unfortunately, the original version of this article [1] contained an error in the text. The correction of this error and also an adjusted sample size calculation is detailed below.

Corrections

Year of authorization of PAs

After publication of our study protocol, we noticed an error at the fifth bullet on page 2 [1]. We described that since January 2013 PAs are authorized to indicate and perform predefined medical procedures and subscribe medication without supervision. January 2013 should however be January 2012 [2].

Adjusted sample size calculation

In the original study protocol we described a sample size calculation in which an average length of hospital stay (LoHS) of 7 days and a standard deviation of 6 days was used. These numbers were based on a study of Borghans et al, in which the LoHS was presented of all patients who were admitted at 69 hospitals in the Netherlands during one year [3]. This concerned all possible medical specialisms. However, we included the following specialisms in our study population: general surgery, pulmonology, gastroenterology, cardiology, orthopedics and otolaryngology (ENT). The medical specialisms with relatively high LoHS (f.e. cardiothoracic surgery, geriatrics, dermatology) and relatively low LoHS (f.e. ophthalmology, plastic surgery, gynecology) were not represented [4]. This composition prompted us to recalculate the required sample size. Instead of a LoHS of 7 days and a SD of 6, a LoHS of 6 days and a SD of 4.8 days was used, which better fitted with our study population. All other parameters remained the same. Taking into account an expected drop out of maximum 2 matched pairs, 34 wards (17 in each arm) with each 100 patients are required. In case of no drop out, 50 patients per ward are sufficient to detect a significant difference in LoHS, with an expected 20 % reduction in LoHS, alpha 5 %, power 80 % and ICC 0.06.

As a consequence of the matched controlled study design, the SD in our study population might be smaller than the above mentioned SD of 4.8, but we are unable to provide reliable estimates [5].

Notes

Declarations

Acknowledgement

We would like to thank Dr. S. Teerenstra (Statistician, Radboud university medical center, Department of Health Evidence) for his assistance with the recalculation of the power.

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Radboud University Medical Center, Radboud Institute for Health Sciences, Scientific Center for Quality of Healthcare (IQ healthcare
(2)
HAN University of Applied Sciences, Faculty of Health and Social Studies

References

  1. Timmermans MJC, Van Vught AJ, Wensing M, Laurant MGH. The effectiveness of substitution of hospital ward care from medical doctors to physician assistants: a study protocol. BMC Health Serv Res. 2014;14:43.View ArticlePubMedPubMed CentralGoogle Scholar
  2. Dutch Association of Physician Assistants; 2013. http://www.napa.nl (date 29 May 2013)
  3. Borghans I, Heijink R, Kool T, Lagoe RJ, Westert G. Benchmarking and reducing length of stay in Dutch hospitals. BMC Health Serv Res. 2008;8:220.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Bouwman B. Ligduurmonitor Nederlandse Ziekenhuizen. Arnhem: Coppa Consultancy; 2010.Google Scholar
  5. Stuart EA. Matching methods for causal inference: A review and a look forward. Stat Sci. 2010;25(1):1–21.View ArticlePubMedPubMed CentralGoogle Scholar

Copyright

© Timmermans et al. 2016

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