Literature DB >> 31955276

A longitudinal analysis of phenotypic and symptom characteristics associated with inter-individual variability in employment interference in patients with breast cancer.

Raymond Javan Chan1,2,3, Bruce Cooper4, Bogda Koczwara5, Alexandre Chan6,7, Chia Jie Tan6,7, Steven M Paul4, Laura B Dunn8, Yvette P Conley9, Kord M Kober4, Jon D Levine10, Christine Miaskowski11.   

Abstract

PURPOSE: A breast cancer diagnosis has a substantial economic impact. Study aims were to evaluate for inter-individual differences in cancer's level of interference with employment and identify phenotypic and symptom characteristics associated with higher levels of interference.
METHODS: Patients (n = 387) were enrolled prior to breast cancer surgery and followed for 12 months. Interference with employment was measured using a 0 (no problem) to 10 (severe problem) numeric rating scale. Hierarchical linear modeling (HLM) was used to evaluate for inter-individual differences in trajectories of employment interference and characteristics associated with employment interference at enrollment and over 12 months.
RESULTS: Patients' mean age was 55.0 (±11.7) years and the majority underwent breast conservation surgery (80.6%). Mean employment interference score was 3.2 (±3.7). Unconditional model for employment interference demonstrated a decreasing linear trend (-.076/month). Younger age, lower income, higher pain intensity, and having an axillary lymph node dissection were associated with higher pre-surgical interference scores. Having a sentinel lymph node biopsy was associated with ongoing employment interference scores. Higher sleep disturbance scores were associated with both initial and ongoing employment interference scores. Receipt of chemotherapy, use of complementary or alternative therapies, and re-excision or mastectomy following surgery were significant time varying covariates.
CONCLUSION: This study is the first to use HLM to describe inter-individual differences in the trajectories of cancer's interference with employment and associated factors prior to and for 12 months following breast cancer surgery. Patients with the identified risk factors warrant ongoing assessments of employment interference and appropriate referrals.

Entities:  

Keywords:  Breast cancer; Employment; Financial toxicity; Hierarchical linear modeling; Interference; Symptom burden

Mesh:

Year:  2020        PMID: 31955276      PMCID: PMC7367703          DOI: 10.1007/s00520-020-05312-4

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  31 in total

1.  Short-term effects of breast cancer on labor market attachment: results from a longitudinal study.

Authors:  Cathy J Bradley; David Neumark; Heather L Bednarek; Maryjean Schenk
Journal:  J Health Econ       Date:  2005-01       Impact factor: 3.883

2.  Impact of breast cancer diagnosis and treatment on work-related life and factors affecting them.

Authors:  Eunmi Ahn; Juhee Cho; Dong Wook Shin; Byeong Woo Park; Sei Hyun Ahn; Dong-Young Noh; Seok Jin Nam; Eun Sook Lee; Young Ho Yun
Journal:  Breast Cancer Res Treat       Date:  2008-10-15       Impact factor: 4.872

3.  The impact of breast cancer among Canadian women: disability and productivity.

Authors:  Elizabeth Quinlan; Roanne Thomas-MacLean; Tom Hack; Winkle Kwan; Baukje Miedema; Sue Tatemichi; Anna Towers; Andrea Tilley
Journal:  Work       Date:  2009

4.  Measures of cognitive function and work in occupationally active breast cancer survivors.

Authors:  Lisseth Calvio; Mark Peugeot; Gina L Bruns; Briana L Todd; Michael Feuerstein
Journal:  J Occup Environ Med       Date:  2010-02       Impact factor: 2.162

5.  Financial toxicity is more than costs of care: the relationship between employment and financial toxicity in long-term cancer survivors.

Authors:  Alison Pearce; Bianca Tomalin; Billingsley Kaambwa; Nicole Horevoorts; Saskia Duijts; Floortje Mols; Lonneke van de Poll-Franse; Bogda Koczwara
Journal:  J Cancer Surviv       Date:  2018-10-24       Impact factor: 4.442

6.  Self-reported work ability in long-term breast cancer survivors. A population-based questionnaire study in Denmark.

Authors:  Kathrine Carlsen; Anette Jung Jensen; Reiner Rugulies; Jane Christensen; Pernille Envold Bidstrup; Christoffer Johansen; Ida Elisabeth Huitfeldt Madsen; Susanne O Dalton
Journal:  Acta Oncol       Date:  2013-01-03       Impact factor: 4.089

7.  Productivity Costs Associated With Breast Cancer Among Survivors Aged 18-44 Years.

Authors:  Donatus U Ekwueme; Justin G Trogdon; Olga A Khavjou; Gery P Guy
Journal:  Am J Prev Med       Date:  2016-02       Impact factor: 5.043

8.  Early retirement and non-employment after breast cancer.

Authors:  M-L Lindbohm; E Kuosma; T Taskila; P Hietanen; K Carlsen; S Gudbergsson; H Gunnarsdottir
Journal:  Psychooncology       Date:  2013-12-18       Impact factor: 3.894

Review 9.  Employment challenges for cancer survivors.

Authors:  Anja Mehnert; Angela de Boer; Michael Feuerstein
Journal:  Cancer       Date:  2013-06-01       Impact factor: 6.860

10.  Treatment decisions and employment of breast cancer patients: Results of a population-based survey.

Authors:  Reshma Jagsi; Paul H Abrahamse; Kamaria L Lee; Lauren P Wallner; Nancy K Janz; Ann S Hamilton; Kevin C Ward; Monica Morrow; Allison W Kurian; Christopher R Friese; Sarah T Hawley; Steven J Katz
Journal:  Cancer       Date:  2017-10-09       Impact factor: 6.860

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1.  Telehealth cancer-related fatigue clinic model for cancer survivors: a pilot randomised controlled trial protocol (the T-CRF trial).

Authors:  Rahul Ladwa; Elizabeth P Pinkham; Laisa Teleni; Brigid Hanley; Gemma Lock; Jodie Nixon; Oluwaseyifunmi Andi Agbejule; Fiona Crawford-Williams; Lee Jones; Mark B Pinkham; Jane Turner; Patsy Yates; Steven M McPhail; Joanne F Aitken; Carmen P Escalante; Nicolas H Hart; Raymond J Chan
Journal:  BMJ Open       Date:  2022-05-16       Impact factor: 3.006

2.  Characteristics associated with inter-individual variability in financial distress in patients with breast cancer prior to and for 12 months following surgery.

Authors:  Raymond Javan Chan; Bruce Cooper; Bogda Koczwara; Alexandre Chan; Chia Jie Tan; Louisa Gordon; Steven M Paul; Laura B Dunn; Yvette P Conley; Kord M Kober; Gary Abrams; Jon D Levine; Christine Miaskowski
Journal:  Support Care Cancer       Date:  2021-09-03       Impact factor: 3.359

3.  Partnering with general practitioners to optimize survivorship for patients with lymphoma: a phase II randomized controlled trial (the GOSPEL I trial).

Authors:  Raymond Javan Chan; Stephanie Buhagiar; Laisa Teleni; Camilla Simonsen; Jane Turner; Courtney Rawson; Nicolas H Hart; Lee Jones; Louisa Gordon; Ria Joseph; Oluwaseyifunmi Andi Agbejule; Fiona Henderson; Joel Rhee; Marissa Ryan; Christine Carrington; Sally Mapp
Journal:  Trials       Date:  2021-01-06       Impact factor: 2.279

4.  Distinct employment interference profiles in patients with breast cancer prior to and for 12 months following surgery.

Authors:  Raymond Javan Chan; Bruce Cooper; Louisa Gordon; Nicolas Hart; Chia Jie Tan; Bogda Koczwara; Kord M Kober; Alexandre Chan; Yvette P Conley; Steven M Paul; Christine Miaskowski
Journal:  BMC Cancer       Date:  2021-08-02       Impact factor: 4.430

  4 in total

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