Predicting return to work among patients with colorectal cancer. Issue 1 (25th October 2019)
- Record Type:
- Journal Article
- Title:
- Predicting return to work among patients with colorectal cancer. Issue 1 (25th October 2019)
- Main Title:
- Predicting return to work among patients with colorectal cancer
- Authors:
- den Bakker, C. M.
Anema, J. R.
Huirne, J. A. F.
Twisk, J.
Bonjer, H. J.
Schaafsma, F. G. - Abstract:
- Abstract : Background: The increase in prevalence of colorectal cancer among young patients coupled with an older retirement age in developed countries means that more patients are being diagnosed with colorectal cancer while still at work. The aim of this study was to develop prediction models for return to work by 1 and 2 years after the start of sick leave. Methods: This was a retrospective registry‐based cohort study of data from a nationwide occupational health service in the Netherlands. Only employed patients with colonic or rectal cancer treated with curative intent were included. Two predictor variable models were developed using multivariable logistic regression with backward selection. Calibration, discrimination and explained variance were used to assess model performance, and internal validation by bootstrapping was performed. Results: Median time to return to work for 317 included patients was 423 (95 per cent c.i. 379 to 467) days. Two‐thirds of patients had returned to work by 2 years after the start of the sick leave. Presence of metastases, adjuvant treatment, stoma, emotional distress and postoperative complications were predictors of not returning to work in the 1‐year model. In the 2‐year model, presence of metastases, emotional distress, postoperative complications, company size and the trajectory of the return‐to‐work process were predictors. Conclusion: Almost 70 per cent of patients with colorectal cancer in this population returned to work withinAbstract : Background: The increase in prevalence of colorectal cancer among young patients coupled with an older retirement age in developed countries means that more patients are being diagnosed with colorectal cancer while still at work. The aim of this study was to develop prediction models for return to work by 1 and 2 years after the start of sick leave. Methods: This was a retrospective registry‐based cohort study of data from a nationwide occupational health service in the Netherlands. Only employed patients with colonic or rectal cancer treated with curative intent were included. Two predictor variable models were developed using multivariable logistic regression with backward selection. Calibration, discrimination and explained variance were used to assess model performance, and internal validation by bootstrapping was performed. Results: Median time to return to work for 317 included patients was 423 (95 per cent c.i. 379 to 467) days. Two‐thirds of patients had returned to work by 2 years after the start of the sick leave. Presence of metastases, adjuvant treatment, stoma, emotional distress and postoperative complications were predictors of not returning to work in the 1‐year model. In the 2‐year model, presence of metastases, emotional distress, postoperative complications, company size and the trajectory of the return‐to‐work process were predictors. Conclusion: Almost 70 per cent of patients with colorectal cancer in this population returned to work within 2 years after the start of sick leave. The models can be used to guide patients early in colorectal cancer treatment about the likelihood of returning to work, and to identify and modify barriers that could facilitate this. Abstract : Almost 70 per cent of patients with colorectal cancer in this population returned to work within 2 years after the start of the sick leave period. The models in this study can be used to guide patients with colorectal cancer early in their treatment about their likelihood of returning to work, and to identify and modify barriers that could facilitate this. Most return at two years Abstract : Antecedentes: El aumento de la prevalencia del cáncer colorrectal ( colorectal cancer, CCR) en pacientes jóvenes, junto con una edad de jubilación más avanzada en los países desarrollados, significa un mayor número de pacientes en edad laboral diagnosticados de CCR. El objetivo de este estudio fue desarrollar modelos de predicción del regreso al trabajo uno y dos años después del inicio de la baja por enfermedad para el tratamiento de CCR. Métodos: Se trata de un estudio de cohortes retrospectivo basado en el registro de datos nacionales de salud laboral en los Países Bajos. Solo se incluyeron pacientes con cáncer de colon o recto tratados con intención curativa. Se desarrollaron dos modelos de variables de predicción utilizando regresión logística multivariante con selección de variables hacia atrás. Para evaluar el rendimiento del modelo se utilizaron la calibración, la discriminación y la varianza explicada y se realizó la validación interna mediante bootstrap . Resultados: La mediana de tiempo de regreso al trabajo de 317 pacientes incluidos fue de 423 días (i.c. del 95%: 378, 6‐467, 4). Dos tercios de los pacientes habían regresado al trabajo dos años después del inicio del período de baja por enfermedad. La presencia de metástasis, el tratamiento adyuvante, el estoma, la angustia emocional y las complicaciones postoperatorias fueron factores predictivos de no volver a trabajar en el modelo de un año. En el modelo de dos años, la presencia de metástasis, la angustia emocional, las complicaciones postoperatorias, el tamaño de la empresa y la trayectoria del proceso de retorno al trabajo fueron factores predictores del regreso laboral. Conclusión: Casi el 70% de los pacientes con CCR en esta población volvieron a trabajar dentro de los dos años posteriores al inicio del periodo de baja por enfermedad. Los modelos se pueden usar para guiar a los pacientes con CCR al inicio de su tratamiento sobre su probabilidad de regresar al trabajo, así como para identificar y modificar las barreras que podrían facilitarlo. … (more)
- Is Part Of:
- British journal of surgery. Volume 107:Issue 1(2020)
- Journal:
- British journal of surgery
- Issue:
- Volume 107:Issue 1(2020)
- Issue Display:
- Volume 107, Issue 1 (2020)
- Year:
- 2020
- Volume:
- 107
- Issue:
- 1
- Issue Sort Value:
- 2020-0107-0001-0000
- Page Start:
- 140
- Page End:
- 148
- Publication Date:
- 2019-10-25
- Subjects:
- Surgery -- Periodicals
617.005 - Journal URLs:
- http://www.bjs.co.uk/bjsCda/cda/microHome.do ↗
https://academic.oup.com/bjs# ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/bjs.11313 ↗
- Languages:
- English
- ISSNs:
- 0007-1323
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 2325.000000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 17309.xml