Return to work in European Cancer
survivors: a systematic review
Sara Paltrinieri, Stefania Fugazzaro,
Lucia Bertozzi, Maria Chiara Bassi,
Martina Pellegrini, Massimo Vicentini,
Elisa Mazzini, et al.
Supportive Care in Cancer
ISSN 0941-4355
Volume 26
Number 9
Support Care Cancer (2018)
26:2983-2994
DOI 10.1007/s00520-018-4270-6
1 23
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Author's personal copy
Supportive Care in Cancer (2018) 26:2983–2994
https://doi.org/10.1007/s00520-018-4270-6
REVIEW ARTICLE
Return to work in European Cancer survivors: a systematic review
Sara Paltrinieri 1 & Stefania Fugazzaro 1 & Lucia Bertozzi 2 & Maria Chiara Bassi 3 & Martina Pellegrini 1 &
Massimo Vicentini 4 & Elisa Mazzini 5 & Stefania Costi 1,6
Received: 30 January 2018 / Accepted: 14 May 2018 / Published online: 29 May 2018
# Springer-Verlag GmbH Germany, part of Springer Nature 2018
Abstract
Purpose Return to work (RTW) of cancer survivors (CSs) fluctuates in different contexts. This systematic review searched for
recent data on the RTW rate of CSs in Europe, investigating associated factors.
Methods Bibliographic search covered the period from January 2010 to February 2018, with no language restrictions. European
population-based studies assessing RTW rate after cancer diagnosis were included. We excluded studies focusing on a specific
cancer diagnosis.
Results Twelve observational studies were selected. The cohorts investigated included 280 to 46,720 individuals from
Northwestern and Central Europe diagnosed with cancer from 1987 to 2010. The median interval between diagnosis and
documented RTW was 2 years (0.2–23.4 years). RTW rates of CSs ranged from 39 to 77%. RTW of individuals employed at
the time of diagnosis ranged from 60 to 92%, the latter registered in a sample with good prognosis. Personal factors, work-related
factors, and cancer-related factors were all associated with RTW. Healthcare team interventions facilitated reintegration to work.
Conclusions Data from Mediterranean and Central European countries are urgently needed to understand whether RTW is an
issue for CSs there as well and whether socio-rehabilitative interventions are required to mitigate the potential negative impact of
cancer on individuals and society.
Keywords Neoplasms . Return to work . Europe . Survivors . Systematic review literature . Sick leave
Electronic supplementary material The online version of this article
(https://doi.org/10.1007/s00520-018-4270-6) contains supplementary
material, which is available to authorized users.
* Stefania Costi
stefania.costi@unimore.it
Sara Paltrinieri
sara.paltrinieri@ausl.re.it
1
Physical Medicine and Rehabilitation Unit, Azienda Unità Sanitaria
Locale-IRCCS of Reggio Emilia, Viale Risorgimento 80,
42123 Reggio Emilia, Italy
2
School of Physical Therapy, Alma Mater Studiorum, University of
Bologna, Via S. Lorenzino 23, 47521 Cesena, Forlì-Cesena, Italy
3
Medical Library, Azienda Unità Sanitaria Locale-IRCCS of Reggio
Emilia, Viale Murri 9, 42123 Reggio Emilia, Italy
4
Epidemiology Unit, Azienda Unità Sanitaria Locale-IRCCS of
Reggio Emilia, Via Amendola 2, 42122 Reggio Emilia, Italy
5
Medical Directorate, Azienda Unità Sanitaria Locale-IRCCS of
Reggio Emilia, Viale Umberto I 50, 42123 Reggio Emilia, Italy
6
Department of Surgery, Medicine, Dentistry and Morphological
Sciences, University of Modena and Reggio Emilia, Reggio
Emilia, Italy
Stefania Fugazzaro
stefania.fugazzaro@ausl.re.it
Lucia Bertozzi
lucia.bertozzi@unibo.it
Maria Chiara Bassi
mariachiara.bassi@ausl.re.it
Martina Pellegrini
martina.pellegrini@ausl.re.it
Massimo Vicentini
massimo.vicentini@ausl.re.it
Elisa Mazzini
elisa.mazzini@ausl.re.it
Author's personal copy
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Purpose
In countries with high economic growth index, life expectancy
and working age are increasing, which will result in growing
numbers of people in the workforce with chronic diseases,
including cancer, in the near future.
In fact, cancer incidence in the European Union (EU-28) is
estimated to be over 500 new cases/year/100.000, excluding
non-melanoma skin cancer [1], with an increasing trend
projected until at least 2020 [2]. However, the long-term survival of cancer patients is steadily growing in all Western
countries, thanks to early diagnostic methods and effective
therapeutic strategies [3]. The average 5-year survival of malignant tumors has reached 54.2% [3]; moreover, nearly 50%
of new diagnoses and more than 1/3 of cancer survivors (CSs)
are people in their working age [4].
Cancer survivorship can be defined as the broad experience
of living with, through, and beyond a cancer diagnosis [5].
Thus, it has become imperative to understand the long-term
implications of cancer survivorship on social outcomes, such
as reintegration into the workplace after cancer treatment, as
recommended by the European Cancer Patient’s Bill of Rights
(art. 3.4) [6].
Return to work (RTW) of individuals who survive cancer is
a major goal, as it facilitates the patient’s ability to deal with
the disease, recover personal identity and social role, and improve general health [7–9]. Although the majority of
employed CSs return to work, a meta-analysis by De Boer
[10] indicated that individuals treated for cancer were 1.4
times more likely to be unemployed compared to healthy
controls.
Certainly, unsuccessful RTW has a significant impact on
direct and indirect social costs, which are paid for by
healthcare systems or insurances, by patients and their families, by employers, and, lastly, by society. A quite recent inquiry estimated that 5 years after diagnosis, the missed overall
income for the failed reintegration into work of CSs is equal to
3.2 billion euros [11]. Further costs, which are not always
easily quantifiable, originate from the period of sick leave
(SL) or the need to replace the worker when not reintegrated,
or may be associated to a reintegration that encounters barriers. In Italy, it has been estimated that the socioeconomic
impact linked to cancer-related productivity loss exceeds 8
billion euros annually [12].
Several review articles from both the USA and the
European Union have reported an average rate of RTW of
approximately 64% with a wide range of 30 to 94%, which
reflects the different contexts in which RTW rates were registered [13, 14]. However, it has been highlighted the lack of
methodological quality of the studies conducted in this field
[13, 15]. Further, the generalizability of results is frequently
limited, since reintegration to work may significantly differ
depending on the context analyzed [16].
Support Care Cancer (2018) 26:2983–2994
Therefore, the principal aim of this study is to review the
latest literature on the rate of RTW of CSs in Europe.
Secondly, we want to identify those factors potentially associated with reintegration to work. Lastly, we present data regarding the duration of SL of European CSs.
Methods
Eligibility criteria
Studies were included if they met the following three criteria:
(1) included patients with cancer, (2) assessed employment
status after cancer diagnosis, (3) were European populationbased studies.
To collect current information generalizable to the whole
population of CSs in Europe, studies published before 2010
and studies focusing on a specific cancer diagnosis were
excluded.
Search strategy
We searched the following electronic databases: MEDLINE,
CINAHL, EMBASE, PsycINFO, and the Cochrane Library
(all databases) from January 2010 to February 28, 2018, with
no language restrictions.
Search terms were (Work OR employment OR occupation
OR labor OR labor market OR absenteeism OR sick leave OR
sickness absence OR retirement OR pension OR disability
pension OR work ability OR work disability OR wages OR
job loss OR job performance OR career OR employer accommodation) AND neoplasm.
We adapted this search strategy to each database.
Additional records were searched through other sources to
complement the database findings; manual search of reference
lists of relevant literature reviews and indexes of peerreviewed journals were used.
Study selection
The literature search was conducted by an information specialist (C.B.) assisted by two healthcare professionals in the
rehabilitation field (S.C. and S.P.). The abstracts of empirical
studies which met the inclusion criteria were selected and
evaluated independently by the latter two reviewers, who appraised full reports of potentially relevant articles for content
and quality. Disagreements were resolved through consensus
with a third investigator (S.F.).
Critical appraisal
The quality of included studies was scored by two independent reviewers (S.C. and S.P.) using section A of the Critical
Author's personal copy
Support Care Cancer (2018) 26:2983–2994
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Appraisal Skills Programme (CASP) tool for cohort studies
[17]. This tool encompasses eight items associated to five
major sources of potential bias in observational studies: adequate cohort recruitment, study attrition, accurate detection of
exposure and of outcome, and identification of potential confounding factors. The two items on confounding were considered irrelevant because this review regards prognosis studies,
which are designed to predict a specific outcome based on a
combination of several possible prognostic factors.
Agreement on the assessment was reached through consensus
of the two reviewers, seeking help from a third (L.B.) when
needed.
The CASP tool does not provide a minimum score for
quality but the first two items assess pivotal requirements for
observational studies; lack of satisfaction might suggest it is
not worth proceeding with the report appraisal.
We established a priori that we would consider high quality
those research papers with CASP score ≥ 5 Byes^ (≥ 83% of
the maximum attainable score), moderate quality those which
scored 3 or 4 Byes^ (≥ 50% of the maximum attainable score),
and low quality those that scored less than 3 Byes.^
moderate (Cohen’s kappa of 0.479). None of the studies was
judged at high risk of bias and all satisfied at least one of the
two pivotal requirements; thus, we included all the selected
studies in the analyses of the results. One study did not clearly
state the issue under investigation [26], whereas two studies
did not adequately represent the primary sector (i.e., agriculture, forestry, fishery, and mining) [21, 22], which was underrepresented in the data source investigated.
In most of the cases, both the exposure and outcome were
judged accurately defined and measured to minimize bias
[18–20, 23–25, 27, 29]. In two cases, the measure of the exposure was judged at risk of bias because the investigators
collected data on sickness absence, not taking into account
individuals that continued working during cancer treatment
[21, 22]. In one further case, the outcome measure and the
completeness of follow-up were considered at risk of bias
because nearly one half of the general practitioners who were
asked to engage patients in the research did not take part in the
study. Furthermore, the response rate to the questionnaire was
27% [26].
Data extraction
Description of studies included
The following data were extracted: country of origin, study
design, source for exposure verification (diagnosis), data collection period, time between diagnosis and RTW documentation, main outcome measure and measurement strategy, demographic and clinical characteristics of the sample, response
rate, RTW rate, and duration of SL. To achieve the secondary
aim of this study, the investigators listed a wide range of potential prognostic factors that, on the basis of current literature,
might influence RTW.
Where available, cancer sites and their representation in the
sample were reported.
When the studies proved to be heterogeneous, a qualitative
analysis was performed to summarize the available evidence.
Table 2 summarizes the characteristics of the 12 research studies included in this review, conducted in the UK, France, the
Netherlands, Denmark, Norway, Finland, and Iceland. Study
designs were mostly cross-sectional surveys or registry studies
collecting longitudinal data. The samples included individuals
in their working age selected by cancer registries, occupational registries, health insurance plans, or hospital departments.
The cohorts investigated were diagnosed with cancer from
1987 to 2010 and data collection occurred from 1987 to
2012. In one study, these data were not reported and attempts
to contact the authors to fill the gap were unsuccessful [25].
The median timeframe between diagnosis and RTW documentation was 2 years (range 0.2–23.4 years).
Results
Population studied
One thousand seven hundred fifty-four citations were retrieved from electronic databases and manual search of reference lists. After the screening process, 106 full-text articles
were assessed for eligibility, 94 of which were excluded.
Thus, this systematic review includes 12 research reports
(Fig. 1).
Table 3 summarizes the characteristics of the population under
study. The size of the included samples varied from 280 to
46,720 working age individuals treated for cancer. Breast cancer was the most represented cancer (n. 7355), followed by
genital and prostate (n. 4868), gastrointestinal (n. 1973), upper
aerodigestive tract/lung (n. 1512), blood cancer (n. 1436), skin
cancer (n. 1197), urological not prostate (n. 659), head and
neck including thyroid (n. 245), and unspecified sites (n.
1250). One study did not report the number of individuals
diagnosed with each cancer represented in the sample, and
the attempts to receive detailed data from the authors were
unsuccessful [18].
Critical appraisal of the included studies
Table 1 summarizes the critical appraisal of the 12 included
research reports. The overall agreement between the two reviewers in their appraisal of the risk of potential bias was
Author's personal copy
Citations retrieved through
electronic database search,
duplications excluded
(n=1752)
Additional records identified through other sources (reference
list of reviews, systematic reviews, and meta-analyses)
(n = 2)
Excluded after revision of title and
abstract because not focused on the
research topic of interest (n.1230) or
based on qualitative designs (n.418)
(n = 1648)
Screening
Fig. 1 Search flow diagram
Support Care Cancer (2018) 26:2983–2994
Identification
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Eligibility
Full texts reviewed for eligibility
(n = 106)
Full text not eligible because:
-not focused on cancer patients (n.1)
-focused on a specific cancer diagnosis (n.31)
-not reporting occupational status of CSs (n.28)
-not European population-based (n.32)
(n = 92)
Excluded because its cohort overlapped with
another eligible study (n = 2)
Included
Studies assessed for quality
(n = 12)
Studies contributing their data to this
systematic review
(n = 12)
Legend: CSs = Cancer survivors
Return to work in cancer survivors
Table 3 reports data regarding RTW rate, the factors associated
to the outcome of interest and SL duration. Return to work
rates of CSs in their working age was reported by four studies
[18, 19, 26, 28] and ranged from 39% [18] to 77% [26].
Return to work rates in CSs employed at the time of diagnosis was reported by ten studies [19–25, 27–29], ranging
from the 60% registered in the Netherlands [21] to the 92%
registered in the UK [25]. The quite low RTW rate in the
Netherlands referred to full-time work, while a higher, more
realistic proportion of 69% would account for individuals who
gradually resume their job with a part-time schedule [21].
Regarding the high RTW rate reported in the UK [25], the
sample selected for this study included individuals who had
completed treatments and excluded patients with metastatic cancer; this optimistic rate of RTW might thus be explained by these
selective eligibility criteria. As a matter of fact, the highest proportions of RTW detected with broader inclusion criteria were
registered in Norway and slightly exceeded 80% [23, 28].
Regarding two French studies, Marino [27] registered a
90% rate in a subsample of individuals still employed, although not yet returned to work, already included in the
broader cohort investigated by Paraponaris [19], where
66.3% of CSs employed at the time of diagnosis did actually
return to work.
Prognostic factors for return to work in cancer
survivors
All the studies included in this review except one [21] analyzed factors that might facilitate or hinder RTW (Table 3).
Factors analyzed were largely heterogeneous between studies.
Protective factors were positively associated to higher rates of
RTW, or faster RTW, or higher number of hours worked by
CSs per time unit. Risk factors were associated to lower rate of
RTW, or slower RTW, or change in employment status.
The prognostic factors identified embraced the crucial
areas of personal (sociodemographic) factors, workrelated factors, and cancer-related factors, as per the
International Classification of Functioning, Disability,
and Health [30] (Table 4).
The associations of personal factors and cancer-related factors with RTW were verified in the majority of the selected
studies, whereas the influence of work-related factors on reintegration at work was explored by five studies only [19, 20,
Author's personal copy
Low
Low
Low
Moderate
Moderate
Low
Low
Low
Moderate
Low
Low
Low
Yes
Cannot tell
Yes
Yes
Yes
Cannot tell
Cannot tell
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Cannot tell
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Was the follow-up
of subjects complete
enough?
2987
23, 25, 27]. Support provided by the healthcare team in coping
with RTW issues was investigated in two studies and was
reported as a protective factor by both [20, 26]. In particular,
Luker [26] showed that when employment issues are
discussed between patients and the healthcare team, the number of hours worked per time unit by patients increases; we
consider this a rehabilitative intervention that facilitates the
social reintegration of CSs.
Few studies also examined the associations between exposure and RTW in men and in women separately [20, 22,
26–28]. Male gender seems to act as a protective factor for
RTW [26, 27]. Living with a partner and children was positively associated to RTW in CSs [27, 29] and in men, specifically [28]. In women, weak support from work supervisors or
from healthcare professionals [20] and being affected by
blood cancer were negatively associated to RTW [22].
Cooper et al. [25] analyzed factors associated to RTW separately for each cancer diagnosis represented in their sample
but found no common elements. However, in breast CSs,
working full time and perceiving control over the effect of
cancer at work acted as protective factors. Protective factors
were also the perceived high level of physical functioning for
head and neck CSs and the possibility to adopt a flexible work
schedule for urological CSs.
Was the cohort
recruited in an
acceptable way?
Yes
Yes
Yes
No
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Did the study address
a clearly focused issue?
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Sickness absence of cancer survivors
[18] Fiva et al. (2010)
[19] Paraponaris et al. (2010)
[20] Lindbohm et al. (2011)
[21] Roelen et al.(2011)
[22] Roelen et al.(2011)
[23] Torp et al.(2011)
[24] Ross et al. (2012)
[25] Cooper et al. (2013)
[26] Luker et al. (2013)
[27] Marino et al. (2013)
[28] Torp et al. (2013)
[29] Tison et al. (2016)
Table 1
Critical appraisal of the included research reports
Is it worth
continuing?
Was the exposure
accurately measured
to minimize bias?
Was the outcome
accurately measured
to minimize bias?
Was the follow-up
of subjects
long enough?
Risk of bias
Support Care Cancer (2018) 26:2983–2994
The duration of SL was analyzed by six studies [19, 21, 22,
25–27], with highly heterogeneous reporting of data. The average duration of SL was 6–12 months in two large samples,
accounting for 5293 individuals [21, 27]. However, SL lasted
less than 6 months for a consistent proportion of the individuals under investigation [25–27]. Long-lasting SL (≥ 2 years)
was associated with physically demanding work [19] and with
blood, lung, and gastrointestinal cancers for 30% of individuals affected [22] and, to a lesser extent (nearly 20%), with
upper aerodigestive tract and breast cancers [19, 22]. Of note,
a longer duration of SL was associated with permanent employment, compared to fixed-term employment and selfemployment (p = 0.042) [27]. Finally, the time to full or partial
RTW was significantly longer in the year 2008 than in 2002
(p < 0.01) [21].
Discussion
This systematic review provides recent knowledge on CSs’
RTW rate in Northwestern Europe, highlighting that very
few data are currently available from Central and
Mediterranean Europe. Within Europe, dissimilarities in social security and healthcare systems exist; moreover, the impact of cultural, economic, and financial factors on the economy vary across Europe, especially following the recent
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Table 2
Characteristics of the included studies
Country
Study design
Source of exposure
Data collection Diagnosis
period
occurrence
Follow-up
(months)
Main outcome
[18] Fiva et al. (2010)
Norway
Cross-sectional
registry study
Cross-sectional
survey
Norwegian Cancer Registry
From 1987 to 2000
Not specified
60
French Health Insurance Schemes, the French
National Institute for Health and Medical
Research, and the French National
Cancer Institute
The files of one large hospital (Finland and
Norway), or the cancer registry
(Denmark and Iceland)
ArboNed Occupational Health Service register
Late 2004
Sep./Oct. 2002
24
Survival rate and
Statistic Norway registers
employment status
Employment status
Questionnaire administered
by telephone
2003 to 2005
1997 to 2002
12 to 96
Work changes†
Questionnaire administered
by mail
2002 to 2010
2002, 2005, and 2008
24
Sickness absence
ArboNed Occupational Health Service register
2006 to 2008
2004, 2005, and 2006
24
Time to full RTW
Cancer Registry of Norway
Feb./Mar. 2008
2005 and 2006
15 to 39
Work changes
All hospital departments treating cancer patients
in three Danish counties
2005 to 2006
Hospitals in 3 UK Healthcare Trust
Not specified
Two cancer registries
Apr./Oct. 2011
0.2 to 23.4 years previously Median 33,
Employment status
mean 48
(range 2 to 281)
Not specified
12
Factors influencing
time to RTW
2 to 3 years previously
24 to 36
Employment status
ArboNed Occupational
Health Service register
ArboNed Occupational
Health Service register
Questionnaire
administered by mail
Questionnaire
administered by mail
Long Duration Disease File of the National
Health Insurance Fund
Cancer Registry of Norway
Late 2004
Sep./Oct. 2002
24
Time to RTW
1998 to 2004
1999
60
Employment status
2012
2010
24
Work changes
[19] Paraponaris et al. (2010) France
[20] Lindbohm et al. (2011)
Finland, Norway,
Cross-sectional
Iceland, and Denmark
survey
[21] Roelen et al. (2011)
The Netherlands
[22] Roelen et al. (2011)‡
The Netherlands
[23] Torp et al. (2011)
Norway
[24] Ross et al. (2012)
Denmark
[25] Cooper et al. (2013)
UK
[26] Luker et al. (2013)
UK
§
[27] Marino et al. (2013)
France
[28] Torp et al. (2013)
Norway
[29] Tison et al. (2016)
France
Cross-sectional
registry study
Cross-sectional
registry study
Cross-sectional
survey
Cross-sectional
survey
Longitudinal
prospective
Cross-sectional
survey
Cross-sectional
survey
Cross-sectional
registry study
Cross-sectional survey
French Cancer Survey and
the French Labor Force Survey
Questionnaire
administered by mail
Questionnaire administered
online or by telephone
Questionnaire administered
by telephone
Statistics Norway’s Events
database
Questionnaire administered
by telephone or mail
Defined as mobility in the labor market among three transition states: employment, non-employment (unemployment or inactivity) and retirement, or making important changes in work situation, or
change of employer
‡
Roelen et al. (2011, c) study’s cohort includes a subsample of 1522 individuals (sample 2) of the cohort investigated by Roelen et al. (2011, a)
§
Marino et al. (2013) study presents original data from a subsample of the cohort investigated by Paraponaris et al. 2010
Support Care Cancer (2018) 26:2983–2994
†
Measurement
of outcome
Author's personal copy
Author (year)
Results of the included studies
RTW rate
Average m/f‡
age
(%)
(years)
Response RTW§
rate (%)
rate
of CSs¶
(%)
[18] Fiva et al.
(2010)
46,720
48
41/59
Breast, lung, skin
100
39
Not measured
[19] Paraponaris et
al. (2010)
1725
47
33/67
Breast, upper
aerodigestive tracts/lung,
blood, colon/rectum,
prostate, urogenital tumors
61
56
[20] Lindbohm et al.
(2011)
2030
NR
NR
Breast, testicular,
lymphoma, prostate
72
[21] Roelen et al.
(2011)
4287
48
36/64
Breast, genitals,
gastrointestinal, lung,
skin, blood
[22] Roelen et al.
(2011)
5074
48
36/64
[23] Torp et al.
(2011)
1115
52
31/69
[24] Ross et al.
(2012)
1490
63
36/64
[25] Cooper et al.
(2013)
280
55
44/56
[26] Luker et al.
(2013)
[27] Marino et al.
(2013)
382
50
24/76
1006
49
32/68
RTW rate of
CSs employed
at diagnosis (%)
Protective factors
Risk factors
SL* duration
NR
75
NR
100
NR
NR
Breast, genitals,
gastrointestinal,
lung, skin, blood
100
NR
Full RTW:
80 in 2002, 74 in 2005,
60 in 2008
Partial RTW:
85 in 2002, 80 in 2005,
69 in 2008
73 (full RTW)
Metastatic disease at
diagnosis
Being not married
Low income
Physically demanding work
Upper aerodigestive cancer
Lung cancer
Discrimination in the
workplace
Physically demanding work
In female gender: weak
support
from the supervisor or
from
the healthcare team
NR
NR
66
Being in the labor market
prior to diagnosis
High education
NR**
Breast, female genital organs,
prostate, testicular, lymphoma,
colon/rectum,
lung, melanoma, bladder,
central
nervous system, thyroid,
leukemia
Breast, gastrointestinal, lung,
gynecological,
prostate, urinary, head and
neck,
lymphoma, leukemia
54
NR
84
68
NR
63
NR
Breast, urological, gynecological,
head and neck
87
NR
92
Breast, colon/rectum, prostate,
Hodgkin’s disease, bladder
Breast, upper aerodigestive
tract/lung, blood,
27
77
NR
61
NR
90
In breast CSs: working full
time,
control over the effect of
cancer at work
In head and neck CSs: high
level of physical function
In urological CSs:
flexible work schedule
Discussing employment
issues with the HCPs***
Male gender
High education
Cancer sites in
order of prevalence
in the sample
≥ 2 years for 15%
of CSs and for > 20%
of individuals with
physically demanding
work, upper aerodigestive
tract or lung cancer
NR
Author's personal copy
n.†
On average, 8.5 months
in 2002 and 9.5
months in 2008
≥ 2 years for nearly
Older age associated to
30% of blood, lung, and
genital cancer
gastrointestinal CSs and for
In female gender: blood
nearly 18% of breast CSs
cancer
Low social support at work NR
High education
Physically
Medium income
demanding work
Support from supervisor
Intellectually
Support form colleagues
demanding work
High decision latitude (at work)
Self-employment
NR
Age ≥ 50 years
Active treatment
or further diagnostic
phase
Metastatic disease
Lung cancer
In gynecological and head
and neck
CSs: impact of
cancer/treatment on
life/work
In urological CSs:
constipation
Female gender
Permanent job
Progressive disease
NR
A median of 7.5 months
for breast CSs, 4.5
months for head and neck and
gynecology CSs; 5 weeks for
urology CSs
< 6 months for 50% of CSs
6–12 months for 34% of CSs
Median duration 1 year
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Author (year)
Support Care Cancer (2018) 26:2983–2994
Table 3
2990
Table 3 (continued)
RTW rate
Author (year)
n.†
Average m/f‡
(%)
age
(years)
Cancer sites in
order of prevalence
in the sample
Response RTW§
rate (%)
rate
of CSs¶
(%)
RTW rate of
CSs employed
at diagnosis (%)
colon/rectum, prostate, and
other
urogenital tumors
3278
47
40/60
[29] Tison et al.
(2016)
4110
60
42/58
†
n., number of patients included in the study
‡
m/f, male female ratio
§
RTW, return to work
¶
CSs, cancer survivors
Breast, skin, prostate, testicular,
colon,
lymphoma, ovary, cervix,
bladder,
leukemia, endometrium,
rectum, lung
Breast, prostate, thyroid,
melanoma,
colon/rectum, urogenital,
upper aerodigestive
tracts, non-Hodgkin disease,
lung
100
73
80
100
NR
71
Risk factors
SL* duration
Living with a partner
Good prognosis
Chemotherapy
Side effects treatment
related
High education
Medium/high income
Being employed or
self-employed at diagnosis
In male gender: living
with partner and children
Living with children
Age ≤ 30 or ≥ 50
Regional/distant cancer
≤ 6 months for 36%
of men and 25%
of women
> 2 years for 35% of men
and 28% of women
NR
Older age
Poorer prognosis
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[28] Torp et al.
(2013)
Protective factors
NR
*SL, sick leave
**NR, not reported or not measured
***HCPs, health care professionals
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Table 4 Protective factors and
risk factors associated with return
to work (RTW)
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Area
Protective factors
Risk factors
Personal
Male gender
Female gender
Medium-high income
Low income
High education
< 30 and > 50 years old
Living with partner/children
Work-related
Employed at diagnosis
Support from supervisor
Discrimination at work
Support from colleagues
Low social support at work
Decision latitude
Self-employment
Permanent job
Physically demanding work
Cancer-related
Good prognosis
Intellectually demanding work
Metastatic disease
Upper aerodigestive cancer
Lung cancer
Further diagnostic phase
Chemotherapy, active treatment
Adverse effects
Rehabilitative
Discuss employment issue with HCPs*
*HCPs, health care professionals
economic crisis [31]. As a result, RTW rates may differ significantly from one country to another [32].
The estimated rates of RTW registered for Northwestern
European CSs range from 39% [18] up to 77% [26]. In
France, the only Mediterranean European country represented
in this review, the rate of RTW was almost 56% [19], registered before the economic crisis of 2008. Comparing these
results with the employment rate of working age Europeans
in 2014, it seems that employment rate of CSs was lower than
that of the general population [33]. Nevertheless, the same
results confirm that the majority of CSs are able and willing
to work, since employment may be beneficial to the general
health of this population [7–9].
When looking at the RTW rate of CSs employed at the time
of diagnosis, a realistic estimate is from 69% [21] to slightly
more than 80% [23, 28]. Thus, this review highlights the fact
that some Northwestern Europeans in treatment for cancer
may lose their jobs. This finding is consistent with those of
de Boer et al. [10] who, in 2009, conducted an extensive metaanalysis which, once again, could not adequately represent
Central and Mediterranean Europe.
This review also points out factors that might facilitate or
hinder RTW. According to the ICF classification, those predictors can be classified into three categories: personal, workrelated, and cancer-related. Regarding personal factors, being
female negatively affected resumption of work [26], consistent with findings of recent reviews focusing on predictors of
RTW in CSs [34, 35]. Having children and/or living with a
partner seems to act as protective factors [27–29] while,
conversely, being single, widowed, or divorced negatively
influenced employment status [18]. A possible explanation
for this phenomenon is that, in patients with cancer, the support of family members ameliorates emotional well-being,
provides practical help in doing everyday chores, and assists
with financial constraints [36].
It is well known that education and income levels are
strongly linked to different social outcomes, including work
[37]. Indeed, this review shows that higher socioeconomic
status and education levels facilitated maintaining one’s job
[23, 27, 28], confirming previous findings [34, 38]. Moreover,
individuals with physically demanding jobs experienced barriers to RTW [19, 20, 23]. On the other hand, intellectual work
capability, which requires solid cognitive capacities, can also
be diminished by chemotherapy [23].
Additional work-related factors which are worth considering are the social environment and flexibility at work. The
social work environment can be a barrier to participation when
the individual perceives discrimination or lack of support from
the employer and colleagues [19, 20, 23, 25, 27]; this is particularly true for females [19, 20]. Thus, the support of the
employer and/or the colleagues acts as facilitating factors for
RTW [23]. Moreover, having flexibility about scheduling and
how much work to do makes it easier to reconcile work and
treatment and to resume work after cancer [13, 25, 39].
Numerous work-related factors may be addressed by rehabilitation and work reintegration programs. In Europe, innovative organizational experiences, supported by legislation,
have already been activated to enable CSs to resume work
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2992
[40]. Recent qualitative data have shown that employers request more knowledge about cancer and RTW processes to
support survivors by offering them various types of accommodation, such as adopting graduated RTW plans with
flexible scheduling, modifying work duties, providing
retraining and support at the workplace, and modifying
the physical work environment or providing adaptive aids
[41, 42]. To address these needs, rehabilitation interventions aimed at reducing activity limitations and promoting
social participation could be implemented [20, 26], with
particular attention to individuals who are profoundly in
need of help in returning to work, such as those with lower
socioeconomic status [38, 43]. However, to be effective,
personalized multidisciplinary rehabilitation interventions
should start immediately after the end of treatment and
should address limitations or symptoms specific to cancer
site or therapy regimen [44, 45]; they also should allow for
the early detection of people at risk of long-term treatment
side effects, in order to shorten SL duration and its associated social costs [44, 45]. This is particularly important as,
according to this review, chemotherapy causes fatigue or
cognitive problems [27] that, as already discussed, impact
work ability [23, 46].
A possible limitation of this study is that the search
strategy adopted was temporally limited to the years
2010–2018. However, we chose to consider the most recent years because Europe’s economy underwent major
changes in this period due to the financial and economic
crisis. To permit interpretation, data regarding employment
rates should always be updated and collected in the context
of interest. To our knowledge, this is the first systematic
review that investigates RTW of European cancer patients
in this historical period.
However, it is important to emphasize that this review does
not provide exhaustive data from across Europe due to the
lack of data available from Mediterranean and Central
Europe since 2010. This limit is not attributable to any shortcomings in the search strategy, however, since the same lack
of data was also demonstrated by a previous, temporally exhaustive meta-analysis [10].
To conclude, this review adds to current knowledge
regarding CSs returning to work in Northwestern
Europe, highlighting the urgent need for data from the
Mediterranean and Central regions of Europe. It also
provides an overview of the principal factors that might
influence work resumption in this population and suggests conducting appropriate studies designed to thoroughly investigate how work-related factors might modify the RTW rate.
This information will help to implement multidisciplinary rehabilitation interventions tailored to the individual, feasible in the context of interest, and effective
in addressing unemployment in CSs.
Support Care Cancer (2018) 26:2983–2994
Acknowledgements We thank Jacqueline M. Costa for the English language editing.
Funding information This work was supported by the Chamber of
Commerce of Reggio Emilia, the Foundation GRADE Onlus of Reggio
Emilia, and the Azienda Unità Sanitaria Locale-IRCCS of Reggio Emilia,
Italy.
Compliance with ethical standards
Conflict of interest The Chamber of Commerce and the GRADE Onlus
of Reggio Emilia, together with the Local Health Authority-Institute of
Research, supported one scholarship thanks to which this study was conducted. However, as disclosed, nobody from the Chamber of Commerce
nor from the GRADE Onlus participated in the study at any stage nor did
they influence any of the authors during the phases of this review. All of
the authors have full control of all primary data and they agree to allow
the journal to review their data if requested.
Statement This article does not contain any studies with human participants performed by any of the authors.
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