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Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands
BACKGROUND: Sick leave frequently has been used as an outcome to evaluate minimal invasive surgery compared with conventional open surgery. However, sick leave is determined not only by the surgical approach. Recently, a postoperative recovery-specific quality-of-life questionnaire, the Recovery Ind...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Springer-Verlag
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2768029/ https://www.ncbi.nlm.nih.gov/pubmed/19118421 http://dx.doi.org/10.1007/s00464-008-0287-0 |
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author | Brölmann, Hans A. M. Vonk Noordegraaf, Antonie Bruinvels, David J. de Vet, Riekie H. C. Dirksz, Amarantha A. Huirne, Judith A. F. |
author_facet | Brölmann, Hans A. M. Vonk Noordegraaf, Antonie Bruinvels, David J. de Vet, Riekie H. C. Dirksz, Amarantha A. Huirne, Judith A. F. |
author_sort | Brölmann, Hans A. M. |
collection | PubMed |
description | BACKGROUND: Sick leave frequently has been used as an outcome to evaluate minimal invasive surgery compared with conventional open surgery. However, sick leave is determined not only by the surgical approach. Recently, a postoperative recovery-specific quality-of-life questionnaire, the Recovery Index (RI-10), has been developed and validated. This study investigated the relation of the Recovery Index 10, the RI-6 (a subset of 6 questions), and the type of surgery to sick leave. METHODS: The study enrolled 46 patients with a paid job scheduled for elective gynecologic surgery, who filled out the RI-10. After 8 weeks, the patients were approached by telephone to give information on their return to work. RESULTS: Of the 46 patients, 23 (50%) returned to work completely after 8 weeks, 14 (30%) resumed work partly, and 9 (20%) did not resume work at all. In the analysis, the patients who completely returned to work were compared with those who did not return or partially returned. Recovery as expressed in the RI-6 improved with time after surgery. It appeared that the measurement 2 weeks after surgery showed the best discriminative capacity to predict sick leave after 8 weeks, with an area under the curve of 0.88 (confidence interval, 0.74–1.03). The subjective postoperative recovery as expressed by the RI-6 is more closely related to the type of surgery (p = 0.001) sick leave is (p = 0.14). CONCLUSIONS: The subjective recovery scored by the patient on a questionnaire of six questions is a better outcome than sick leave for evaluating surgical approaches. If administered 2 weeks after surgery, it may predict prolonged sick leave. |
format | Text |
id | pubmed-2768029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-27680292009-10-27 Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands Brölmann, Hans A. M. Vonk Noordegraaf, Antonie Bruinvels, David J. de Vet, Riekie H. C. Dirksz, Amarantha A. Huirne, Judith A. F. Surg Endosc Article BACKGROUND: Sick leave frequently has been used as an outcome to evaluate minimal invasive surgery compared with conventional open surgery. However, sick leave is determined not only by the surgical approach. Recently, a postoperative recovery-specific quality-of-life questionnaire, the Recovery Index (RI-10), has been developed and validated. This study investigated the relation of the Recovery Index 10, the RI-6 (a subset of 6 questions), and the type of surgery to sick leave. METHODS: The study enrolled 46 patients with a paid job scheduled for elective gynecologic surgery, who filled out the RI-10. After 8 weeks, the patients were approached by telephone to give information on their return to work. RESULTS: Of the 46 patients, 23 (50%) returned to work completely after 8 weeks, 14 (30%) resumed work partly, and 9 (20%) did not resume work at all. In the analysis, the patients who completely returned to work were compared with those who did not return or partially returned. Recovery as expressed in the RI-6 improved with time after surgery. It appeared that the measurement 2 weeks after surgery showed the best discriminative capacity to predict sick leave after 8 weeks, with an area under the curve of 0.88 (confidence interval, 0.74–1.03). The subjective postoperative recovery as expressed by the RI-6 is more closely related to the type of surgery (p = 0.001) sick leave is (p = 0.14). CONCLUSIONS: The subjective recovery scored by the patient on a questionnaire of six questions is a better outcome than sick leave for evaluating surgical approaches. If administered 2 weeks after surgery, it may predict prolonged sick leave. Springer-Verlag 2009-01-01 2009 /pmc/articles/PMC2768029/ /pubmed/19118421 http://dx.doi.org/10.1007/s00464-008-0287-0 Text en © The Author(s) 2008 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Article Brölmann, Hans A. M. Vonk Noordegraaf, Antonie Bruinvels, David J. de Vet, Riekie H. C. Dirksz, Amarantha A. Huirne, Judith A. F. Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands |
title | Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands |
title_full | Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands |
title_fullStr | Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands |
title_full_unstemmed | Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands |
title_short | Can prolonged sick leave after gynecologic surgery be predicted? An observational study in the Netherlands |
title_sort | can prolonged sick leave after gynecologic surgery be predicted? an observational study in the netherlands |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2768029/ https://www.ncbi.nlm.nih.gov/pubmed/19118421 http://dx.doi.org/10.1007/s00464-008-0287-0 |
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