Literature DB >> 23949119

Type of hematological malignancy is crucial for the return to work prognosis: a register-based cohort study.

Trine Allerslev Horsboel1, Claus Vinther Nielsen, Bendt Nielsen, Chris Jensen, Niels Trolle Andersen, Annette de Thurah.   

Abstract

PURPOSE: The aims of this study were to determine the proportion of return to work (RTW) among sick-listed patients diagnosed with one of eight subtypes of hematological malignancies; to evaluate the influence of type of hematological malignancy, comorbidity, use of anxiolytics and antidepressants, socioeconomic and demographic factors on RTW; and to investigate if these associations differ between genders.
METHODS: We combined data from national registers on all Danish patients diagnosed with hematological malignancies between 2000 and 2007. A total of 1,741 patients on long-term sick leave were followed until RTW, emigration, permanent withdrawal from the labor market, death, or February 2012, whichever came first.
RESULTS: A total of 1,140 (65 %) patients returned to work. A strong association was found between type of diagnosis and RTW (p < 0.001), and the proportion of RTW was lowest for patients with multiple myeloma or acute leukemia compared to patients with Hodgkin lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, chronic myeloid leukemia, and chronic lymphoid leukemia. Use of antidepressants or anxiolytics after diagnosis, gender, age, and educational level were also associated with RTW. Surprisingly, comorbidity was not associated with RTW (p = 0.94); gender only modified the association between age and RTW.
CONCLUSION: Two thirds of patients with hematological malignancies on sick leave RTW. A number of factors seem to lead to a poor prognosis, the hematological diagnosis being the most important, and these should be taken into account when performing studies on work outcome for patients with hematological malignancies. IMPLICATIONS FOR CANCER SURVIVORS: Knowledge in this area should assist in identification of hematological cancer patients at risk of not returning to work so that early targeted rehabilitation interventions can be initiated.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23949119     DOI: 10.1007/s11764-013-0300-z

Source DB:  PubMed          Journal:  J Cancer Surviv        ISSN: 1932-2259            Impact factor:   4.442


  27 in total

Review 1.  How to measure comorbidity. a critical review of available methods.

Authors:  Vincent de Groot; Heleen Beckerman; Gustaaf J Lankhorst; Lex M Bouter
Journal:  J Clin Epidemiol       Date:  2003-03       Impact factor: 6.437

2.  TheBuilding and Housing Register.

Authors:  Gunvor Christensen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

3.  Sickness absence and full return to work after cancer: 2-year follow-up of register data for different cancer sites.

Authors:  Corné A Roelen; Petra C Koopmans; Johan W Groothoff; Jac J van der Klink; Ute Bültmann
Journal:  Psychooncology       Date:  2010-07-28       Impact factor: 3.894

4.  The Danish National Hospital Register. A valuable source of data for modern health sciences.

Authors:  T F Andersen; M Madsen; J Jørgensen; L Mellemkjoer; J H Olsen
Journal:  Dan Med Bull       Date:  1999-06

5.  The Danish Civil Registration System.

Authors:  Carsten Bøcker Pedersen
Journal:  Scand J Public Health       Date:  2011-07       Impact factor: 3.021

6.  Employment pathways in a large cohort of adult cancer survivors.

Authors:  Pamela Farley Short; Joseph J Vasey; Kaan Tunceli
Journal:  Cancer       Date:  2005-03-15       Impact factor: 6.860

Review 7.  Work in cancer survivors: a model for practice and research.

Authors:  Michael Feuerstein; Briana L Todd; Michal C Moskowitz; Gina L Bruns; Mallori R Stoler; Thomas Nassif; Xinhua Yu
Journal:  J Cancer Surviv       Date:  2010-10-14       Impact factor: 4.442

8.  Sex differences in the return-to-work process of cancer survivors 2 years after diagnosis: results from a large French population-based sample.

Authors:  Patricia Marino; Luis Sagaon Teyssier; Laetitia Malavolti; Anne-Gaelle Le Corroller-Soriano
Journal:  J Clin Oncol       Date:  2013-01-28       Impact factor: 44.544

9.  Recovery and long-term function after hematopoietic cell transplantation for leukemia or lymphoma.

Authors:  Karen L Syrjala; Shelby L Langer; Janet R Abrams; Barry Storer; Jean E Sanders; Mary E D Flowers; Paul J Martin
Journal:  JAMA       Date:  2004-05-19       Impact factor: 56.272

10.  Job loss and re-employment of cancer patients in Korean employees: a nationwide retrospective cohort study.

Authors:  Jae-Hyun Park; Eun-Cheol Park; Jong-Hyock Park; Sung-Gyeong Kim; Sang-Yi Lee
Journal:  J Clin Oncol       Date:  2008-03-10       Impact factor: 44.544

View more
  9 in total

1.  Sick leave and disability pension in Hodgkin lymphoma survivors by stage, treatment, and follow-up time--a population-based comparative study.

Authors:  I Glimelius; S Ekberg; J Linderoth; M Jerkeman; E T Chang; M Neovius; K E Smedby
Journal:  J Cancer Surviv       Date:  2015-02-18       Impact factor: 4.442

2.  Employment and insurance outcomes and factors associated with employment among long-term thyroid cancer survivors: a population-based study from the PROFILES registry.

Authors:  S J Tamminga; U Bültmann; O Husson; J L P Kuijpens; M H W Frings-Dresen; A G E M de Boer
Journal:  Qual Life Res       Date:  2015-09-22       Impact factor: 4.147

3.  Return to work for patients with diffuse large B-cell lymphoma and transformed indolent lymphoma undergoing autologous stem cell transplantation.

Authors:  Bente Arboe; Maja Halgren Olsen; Jette Soenderskov Goerloev; Anne Katrine Duun-Henriksen; Christoffer Johansen; Susanne Oksbjerg Dalton; Peter de Nully Brown
Journal:  Clin Epidemiol       Date:  2017-06-06       Impact factor: 4.790

4.  Analysis of medico-social factors for return to work among patients presenting with haematological malignancy (adamantine): results of a 'pilot study'.

Authors:  Bénédicte Clin; Natacha Heutte; Mathilde Boulanger; Xavier Troussard; Edouard Cornet; Ghandi Laurent Damaj; Véronique Bouvier; Anne-Valérie Guizard; Guy Launoy; Idlir Licaj
Journal:  BMC Res Notes       Date:  2020-07-02

5.  Productivity losses in patients with newly diagnosed multiple myeloma following stem cell transplantation and the impact of maintenance therapy.

Authors:  Graham Jackson; Jayne Galinsky; David E C Alderson; Vijay K D'Souza; Vanessa Buchanan; Sujith Dhanasiri; Simon Walker
Journal:  Eur J Haematol       Date:  2019-08-12       Impact factor: 2.997

6.  Work, daily activities and leisure after cancer.

Authors:  Marjon Faaij; Dounya Schoormans; Alison Pearce
Journal:  Eur J Cancer Care (Engl)       Date:  2022-04-21       Impact factor: 2.328

7.  Perspectives on returning to work of multiple myeloma patients: A qualitative interview study.

Authors:  Christine Bennink; Marjolein van der Klift; Hans Scheurer; Pieter Sonneveld; Saskia F A Duijts
Journal:  Eur J Cancer Care (Engl)       Date:  2021-06-21       Impact factor: 2.328

8.  Ambulatory Medical Assistance--After Cancer (AMA-AC): A model for an early trajectory survivorship survey of lymphoma patients treated with anthracycline-based chemotherapy.

Authors:  Gisèle Compaci; Manuela Rueter; Sébastien Lamy; Lucie Oberic; Christian Recher; Maryse Lapeyre-Mestre; Guy Laurent; Fabien Despas
Journal:  BMC Cancer       Date:  2015-10-24       Impact factor: 4.430

9.  Treat patient, not just the disease: holistic needs assessment for haematological cancer patients.

Authors:  Md Serajul Islam
Journal:  Oncol Rev       Date:  2018-07-04
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.