Prediction of time to return to work after gynaecological surgery: a prospective cohort study in the Netherlands
Objective To measure the impact of the level of invasiveness of gynaecological procedures on time to full Return to Work (RTW) and to identify the most important preoperative sociodemographic, medical and work‐related factors that predict the risk of prolonged sick leave. Design Prospective cohort s...
Gespeichert in:
Veröffentlicht in: | BJOG : an international journal of obstetrics and gynaecology 2014-03, Vol.121 (4), p.487-497 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 497 |
---|---|
container_issue | 4 |
container_start_page | 487 |
container_title | BJOG : an international journal of obstetrics and gynaecology |
container_volume | 121 |
creator | Vonk Noordegraaf, A Anema, JR Louwerse, MD Heymans, MW Mechelen, W Brölmann, HAM Huirne, JAF |
description | Objective
To measure the impact of the level of invasiveness of gynaecological procedures on time to full Return to Work (RTW) and to identify the most important preoperative sociodemographic, medical and work‐related factors that predict the risk of prolonged sick leave.
Design
Prospective cohort study.
Setting
Dutch university hospital.
Population
A total of 148 women aged 18–65 years scheduled for gynaecological surgery for benign indications.
Methods
A questionnaire regarding the surgical procedure as well as perioperative and postoperative complications was completed by the attending resident at baseline and 6 weeks after surgery. All other outcome measures were assessed using self‐reported patient questionnaires at baseline and 12 weeks post‐surgery. The follow‐up period was extended up to 1 year after surgery in women failing to return to work. Surgical procedures were categorised into diagnostic, minor, intermediate and major surgery.
Main outcome measures
Time to RTW and important predictors for prolonged sick leave after surgery.
Results
Median time to RTW was 7 days (interquartile range [IQR] 5–14) for diagnostic surgery, 14 days (IQR 9–28) for minor surgery, 60 days (IQR 28–101) for intermediate surgery and 69 days (IQR 56–135) for major surgery. Multivariable analysis showed a strongest predictive value of RTW 1 year after surgery for level of invasiveness of surgery (minor surgery hazard ratio [HR] 0.51, 95% CI 0.32–0.81; intermediate surgery HR 0.20, 95% CI 0.12–0.34; major surgery HR 0.09, 95% CI 0.06–0.16), RTW expectations before surgery (HR 0.55, 95% CI 0.36–0.84), and preoperative functional status (HR 1.09, 95% CI 1.04–1.13). A prediction model regarding the probability of prolonged sick leave at 6 weeks was developed, with a sensitivity of 89% and a specificity of 86%.
Conclusions
RTW often takes a long time, especially after intermediate and major surgery. This study reveals important predictors for prolonged sick leave and provides a prediction model for the risk of sick leave extending 6 weeks after benign gynaecological surgery in the Netherlands. |
doi_str_mv | 10.1111/1471-0528.12494 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_1891866673</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1891866673</sourcerecordid><originalsourceid>FETCH-LOGICAL-p3594-8f6a2b28c9f3965fe3e32e23b6abfe1c534a7f232ab67a5712b9d526096f97c53</originalsourceid><addsrcrecordid>eNqFkc1P3DAQxa2qiKWUc2_IUi-9BOxx7MS9tStoixD0AGfLSca7odl1aieg_Pc4y8eBCz7YT56fnmbmEfKFsxOezinPC54xCeUJh1znH8jB68_HnWYZE1AuyKcY7xjjCpjYJwvIIZdaiwPS_w3YtPXQ-i31jg7tBungacBhDNtZPfjwj1o3YKCraWux9p1ftbXtaBzDCsP0nVraBx97TC73SGu_9mGgcRibibbJY430CtMdOrtt4mey52wX8ej5PSS352c3y9_Z5fWvP8sfl1kvpM6z0ikLFZS1dkIr6VCgAARRKVs55LUUuS0cCLCVKqwsOFS6kaCYVk4XqXxIvj35pt7-jxgHs2ljjV1qAv0YDS81L5VShXgflZyXIATMrl_foHc-LSoNYniuSylTr5Co42dqrDbYmD60Gxsm87L2BMgn4KHtcHqtc2bmVM2coZkzNLtUzc-L650Qjx_Pk4Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1498559652</pqid></control><display><type>article</type><title>Prediction of time to return to work after gynaecological surgery: a prospective cohort study in the Netherlands</title><source>MEDLINE</source><source>Wiley Online Library All Journals</source><creator>Vonk Noordegraaf, A ; Anema, JR ; Louwerse, MD ; Heymans, MW ; Mechelen, W ; Brölmann, HAM ; Huirne, JAF</creator><creatorcontrib>Vonk Noordegraaf, A ; Anema, JR ; Louwerse, MD ; Heymans, MW ; Mechelen, W ; Brölmann, HAM ; Huirne, JAF</creatorcontrib><description>Objective
To measure the impact of the level of invasiveness of gynaecological procedures on time to full Return to Work (RTW) and to identify the most important preoperative sociodemographic, medical and work‐related factors that predict the risk of prolonged sick leave.
Design
Prospective cohort study.
Setting
Dutch university hospital.
Population
A total of 148 women aged 18–65 years scheduled for gynaecological surgery for benign indications.
Methods
A questionnaire regarding the surgical procedure as well as perioperative and postoperative complications was completed by the attending resident at baseline and 6 weeks after surgery. All other outcome measures were assessed using self‐reported patient questionnaires at baseline and 12 weeks post‐surgery. The follow‐up period was extended up to 1 year after surgery in women failing to return to work. Surgical procedures were categorised into diagnostic, minor, intermediate and major surgery.
Main outcome measures
Time to RTW and important predictors for prolonged sick leave after surgery.
Results
Median time to RTW was 7 days (interquartile range [IQR] 5–14) for diagnostic surgery, 14 days (IQR 9–28) for minor surgery, 60 days (IQR 28–101) for intermediate surgery and 69 days (IQR 56–135) for major surgery. Multivariable analysis showed a strongest predictive value of RTW 1 year after surgery for level of invasiveness of surgery (minor surgery hazard ratio [HR] 0.51, 95% CI 0.32–0.81; intermediate surgery HR 0.20, 95% CI 0.12–0.34; major surgery HR 0.09, 95% CI 0.06–0.16), RTW expectations before surgery (HR 0.55, 95% CI 0.36–0.84), and preoperative functional status (HR 1.09, 95% CI 1.04–1.13). A prediction model regarding the probability of prolonged sick leave at 6 weeks was developed, with a sensitivity of 89% and a specificity of 86%.
Conclusions
RTW often takes a long time, especially after intermediate and major surgery. This study reveals important predictors for prolonged sick leave and provides a prediction model for the risk of sick leave extending 6 weeks after benign gynaecological surgery in the Netherlands.</description><identifier>ISSN: 1470-0328</identifier><identifier>EISSN: 1471-0528</identifier><identifier>DOI: 10.1111/1471-0528.12494</identifier><identifier>PMID: 24245993</identifier><identifier>CODEN: BIOGFQ</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>Adolescent ; Adult ; Aged ; Decision Support Techniques ; Female ; Follow-Up Studies ; Gynaecological surgery ; Gynecologic Surgical Procedures ; Gynecology ; Humans ; hysterectomy ; Intraoperative Complications ; Kaplan-Meier Estimate ; laparoscopic adnexal surgery ; Middle Aged ; Multivariate Analysis ; Netherlands ; Postoperative Complications ; prediction model ; predictor ; Preoperative Period ; Prognosis ; Proportional Hazards Models ; Prospective Studies ; return to work ; Return to Work - statistics & numerical data ; Risk Factors ; Sick leave ; Sick Leave - statistics & numerical data ; Socioeconomic Factors ; Surgery ; Surveys and Questionnaires ; Time Factors ; Young Adult</subject><ispartof>BJOG : an international journal of obstetrics and gynaecology, 2014-03, Vol.121 (4), p.487-497</ispartof><rights>2013 Royal College of Obstetricians and Gynaecologists</rights><rights>2013 Royal College of Obstetricians and Gynaecologists.</rights><rights>Copyright © 2014 Royal College of Obstetricians and Gynaecologists</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2F1471-0528.12494$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2F1471-0528.12494$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1416,27922,27923,45572,45573</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24245993$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vonk Noordegraaf, A</creatorcontrib><creatorcontrib>Anema, JR</creatorcontrib><creatorcontrib>Louwerse, MD</creatorcontrib><creatorcontrib>Heymans, MW</creatorcontrib><creatorcontrib>Mechelen, W</creatorcontrib><creatorcontrib>Brölmann, HAM</creatorcontrib><creatorcontrib>Huirne, JAF</creatorcontrib><title>Prediction of time to return to work after gynaecological surgery: a prospective cohort study in the Netherlands</title><title>BJOG : an international journal of obstetrics and gynaecology</title><addtitle>BJOG</addtitle><description>Objective
To measure the impact of the level of invasiveness of gynaecological procedures on time to full Return to Work (RTW) and to identify the most important preoperative sociodemographic, medical and work‐related factors that predict the risk of prolonged sick leave.
Design
Prospective cohort study.
Setting
Dutch university hospital.
Population
A total of 148 women aged 18–65 years scheduled for gynaecological surgery for benign indications.
Methods
A questionnaire regarding the surgical procedure as well as perioperative and postoperative complications was completed by the attending resident at baseline and 6 weeks after surgery. All other outcome measures were assessed using self‐reported patient questionnaires at baseline and 12 weeks post‐surgery. The follow‐up period was extended up to 1 year after surgery in women failing to return to work. Surgical procedures were categorised into diagnostic, minor, intermediate and major surgery.
Main outcome measures
Time to RTW and important predictors for prolonged sick leave after surgery.
Results
Median time to RTW was 7 days (interquartile range [IQR] 5–14) for diagnostic surgery, 14 days (IQR 9–28) for minor surgery, 60 days (IQR 28–101) for intermediate surgery and 69 days (IQR 56–135) for major surgery. Multivariable analysis showed a strongest predictive value of RTW 1 year after surgery for level of invasiveness of surgery (minor surgery hazard ratio [HR] 0.51, 95% CI 0.32–0.81; intermediate surgery HR 0.20, 95% CI 0.12–0.34; major surgery HR 0.09, 95% CI 0.06–0.16), RTW expectations before surgery (HR 0.55, 95% CI 0.36–0.84), and preoperative functional status (HR 1.09, 95% CI 1.04–1.13). A prediction model regarding the probability of prolonged sick leave at 6 weeks was developed, with a sensitivity of 89% and a specificity of 86%.
Conclusions
RTW often takes a long time, especially after intermediate and major surgery. This study reveals important predictors for prolonged sick leave and provides a prediction model for the risk of sick leave extending 6 weeks after benign gynaecological surgery in the Netherlands.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Decision Support Techniques</subject><subject>Female</subject><subject>Follow-Up Studies</subject><subject>Gynaecological surgery</subject><subject>Gynecologic Surgical Procedures</subject><subject>Gynecology</subject><subject>Humans</subject><subject>hysterectomy</subject><subject>Intraoperative Complications</subject><subject>Kaplan-Meier Estimate</subject><subject>laparoscopic adnexal surgery</subject><subject>Middle Aged</subject><subject>Multivariate Analysis</subject><subject>Netherlands</subject><subject>Postoperative Complications</subject><subject>prediction model</subject><subject>predictor</subject><subject>Preoperative Period</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Prospective Studies</subject><subject>return to work</subject><subject>Return to Work - statistics & numerical data</subject><subject>Risk Factors</subject><subject>Sick leave</subject><subject>Sick Leave - statistics & numerical data</subject><subject>Socioeconomic Factors</subject><subject>Surgery</subject><subject>Surveys and Questionnaires</subject><subject>Time Factors</subject><subject>Young Adult</subject><issn>1470-0328</issn><issn>1471-0528</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkc1P3DAQxa2qiKWUc2_IUi-9BOxx7MS9tStoixD0AGfLSca7odl1aieg_Pc4y8eBCz7YT56fnmbmEfKFsxOezinPC54xCeUJh1znH8jB68_HnWYZE1AuyKcY7xjjCpjYJwvIIZdaiwPS_w3YtPXQ-i31jg7tBungacBhDNtZPfjwj1o3YKCraWux9p1ftbXtaBzDCsP0nVraBx97TC73SGu_9mGgcRibibbJY430CtMdOrtt4mey52wX8ej5PSS352c3y9_Z5fWvP8sfl1kvpM6z0ikLFZS1dkIr6VCgAARRKVs55LUUuS0cCLCVKqwsOFS6kaCYVk4XqXxIvj35pt7-jxgHs2ljjV1qAv0YDS81L5VShXgflZyXIATMrl_foHc-LSoNYniuSylTr5Co42dqrDbYmD60Gxsm87L2BMgn4KHtcHqtc2bmVM2coZkzNLtUzc-L650Qjx_Pk4Q</recordid><startdate>201403</startdate><enddate>201403</enddate><creator>Vonk Noordegraaf, A</creator><creator>Anema, JR</creator><creator>Louwerse, MD</creator><creator>Heymans, MW</creator><creator>Mechelen, W</creator><creator>Brölmann, HAM</creator><creator>Huirne, JAF</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7QP</scope><scope>ASE</scope><scope>FPQ</scope><scope>K6X</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>201403</creationdate><title>Prediction of time to return to work after gynaecological surgery: a prospective cohort study in the Netherlands</title><author>Vonk Noordegraaf, A ; Anema, JR ; Louwerse, MD ; Heymans, MW ; Mechelen, W ; Brölmann, HAM ; Huirne, JAF</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p3594-8f6a2b28c9f3965fe3e32e23b6abfe1c534a7f232ab67a5712b9d526096f97c53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Decision Support Techniques</topic><topic>Female</topic><topic>Follow-Up Studies</topic><topic>Gynaecological surgery</topic><topic>Gynecologic Surgical Procedures</topic><topic>Gynecology</topic><topic>Humans</topic><topic>hysterectomy</topic><topic>Intraoperative Complications</topic><topic>Kaplan-Meier Estimate</topic><topic>laparoscopic adnexal surgery</topic><topic>Middle Aged</topic><topic>Multivariate Analysis</topic><topic>Netherlands</topic><topic>Postoperative Complications</topic><topic>prediction model</topic><topic>predictor</topic><topic>Preoperative Period</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Prospective Studies</topic><topic>return to work</topic><topic>Return to Work - statistics & numerical data</topic><topic>Risk Factors</topic><topic>Sick leave</topic><topic>Sick Leave - statistics & numerical data</topic><topic>Socioeconomic Factors</topic><topic>Surgery</topic><topic>Surveys and Questionnaires</topic><topic>Time Factors</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vonk Noordegraaf, A</creatorcontrib><creatorcontrib>Anema, JR</creatorcontrib><creatorcontrib>Louwerse, MD</creatorcontrib><creatorcontrib>Heymans, MW</creatorcontrib><creatorcontrib>Mechelen, W</creatorcontrib><creatorcontrib>Brölmann, HAM</creatorcontrib><creatorcontrib>Huirne, JAF</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>British Nursing Index</collection><collection>British Nursing Index (BNI) (1985 to Present)</collection><collection>British Nursing Index</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>BJOG : an international journal of obstetrics and gynaecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vonk Noordegraaf, A</au><au>Anema, JR</au><au>Louwerse, MD</au><au>Heymans, MW</au><au>Mechelen, W</au><au>Brölmann, HAM</au><au>Huirne, JAF</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of time to return to work after gynaecological surgery: a prospective cohort study in the Netherlands</atitle><jtitle>BJOG : an international journal of obstetrics and gynaecology</jtitle><addtitle>BJOG</addtitle><date>2014-03</date><risdate>2014</risdate><volume>121</volume><issue>4</issue><spage>487</spage><epage>497</epage><pages>487-497</pages><issn>1470-0328</issn><eissn>1471-0528</eissn><coden>BIOGFQ</coden><abstract>Objective
To measure the impact of the level of invasiveness of gynaecological procedures on time to full Return to Work (RTW) and to identify the most important preoperative sociodemographic, medical and work‐related factors that predict the risk of prolonged sick leave.
Design
Prospective cohort study.
Setting
Dutch university hospital.
Population
A total of 148 women aged 18–65 years scheduled for gynaecological surgery for benign indications.
Methods
A questionnaire regarding the surgical procedure as well as perioperative and postoperative complications was completed by the attending resident at baseline and 6 weeks after surgery. All other outcome measures were assessed using self‐reported patient questionnaires at baseline and 12 weeks post‐surgery. The follow‐up period was extended up to 1 year after surgery in women failing to return to work. Surgical procedures were categorised into diagnostic, minor, intermediate and major surgery.
Main outcome measures
Time to RTW and important predictors for prolonged sick leave after surgery.
Results
Median time to RTW was 7 days (interquartile range [IQR] 5–14) for diagnostic surgery, 14 days (IQR 9–28) for minor surgery, 60 days (IQR 28–101) for intermediate surgery and 69 days (IQR 56–135) for major surgery. Multivariable analysis showed a strongest predictive value of RTW 1 year after surgery for level of invasiveness of surgery (minor surgery hazard ratio [HR] 0.51, 95% CI 0.32–0.81; intermediate surgery HR 0.20, 95% CI 0.12–0.34; major surgery HR 0.09, 95% CI 0.06–0.16), RTW expectations before surgery (HR 0.55, 95% CI 0.36–0.84), and preoperative functional status (HR 1.09, 95% CI 1.04–1.13). A prediction model regarding the probability of prolonged sick leave at 6 weeks was developed, with a sensitivity of 89% and a specificity of 86%.
Conclusions
RTW often takes a long time, especially after intermediate and major surgery. This study reveals important predictors for prolonged sick leave and provides a prediction model for the risk of sick leave extending 6 weeks after benign gynaecological surgery in the Netherlands.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>24245993</pmid><doi>10.1111/1471-0528.12494</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1470-0328 |
ispartof | BJOG : an international journal of obstetrics and gynaecology, 2014-03, Vol.121 (4), p.487-497 |
issn | 1470-0328 1471-0528 |
language | eng |
recordid | cdi_proquest_miscellaneous_1891866673 |
source | MEDLINE; Wiley Online Library All Journals |
subjects | Adolescent Adult Aged Decision Support Techniques Female Follow-Up Studies Gynaecological surgery Gynecologic Surgical Procedures Gynecology Humans hysterectomy Intraoperative Complications Kaplan-Meier Estimate laparoscopic adnexal surgery Middle Aged Multivariate Analysis Netherlands Postoperative Complications prediction model predictor Preoperative Period Prognosis Proportional Hazards Models Prospective Studies return to work Return to Work - statistics & numerical data Risk Factors Sick leave Sick Leave - statistics & numerical data Socioeconomic Factors Surgery Surveys and Questionnaires Time Factors Young Adult |
title | Prediction of time to return to work after gynaecological surgery: a prospective cohort study in the Netherlands |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T12%3A20%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20of%20time%20to%20return%20to%20work%20after%20gynaecological%20surgery:%20a%20prospective%20cohort%20study%20in%20the%20Netherlands&rft.jtitle=BJOG%20:%20an%20international%20journal%20of%20obstetrics%20and%20gynaecology&rft.au=Vonk%20Noordegraaf,%20A&rft.date=2014-03&rft.volume=121&rft.issue=4&rft.spage=487&rft.epage=497&rft.pages=487-497&rft.issn=1470-0328&rft.eissn=1471-0528&rft.coden=BIOGFQ&rft_id=info:doi/10.1111/1471-0528.12494&rft_dat=%3Cproquest_pubme%3E1891866673%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1498559652&rft_id=info:pmid/24245993&rfr_iscdi=true |