G
onzález
-S
ánchez
B
et
al
.
362
R
ev
A
ssoc
M
ed
B
ras
2017; 63(4):361-365
nomic Community of Extremadura. Participants were
physiotherapists working in the region.
Inclusion criteria were: to be in active employment
since the January 1, 2010 and to have been working at
least one year, in a public or private practice. Exclusion
criteria were: to be in sick leave at the moment of data
collection or to not meet the inclusion criteria.
Procedures
To take part in the study, each participant was sent an en-
velope by regular mail, including: two questionnaires, one
being the Maslach Burnout Inventory
4
(MBI) and the oth-
er a sociodemographic and working variables questionnaire
(SDLVQ); an informed consent with a cover letter; and the
instructions. A pre-paid postage envelope was also sent for
document return.
Instruments
SDLVQ: It consists of a general-purpose questionnaire
specifically made for the study performance. It collects
sociodemographic and working characteristics of the sub-
jects. MBI:
4
It is a questionnaire where the subjected is
asked a series of questions on feelings and thoughts relat-
ed to his or her work interactions. It consists of 22 items
that are assessed by a Likert-type scale. The subjects are
assessed through a range of six adverbs of frequency, from
“never” to “daily” for each of the described by the items.
The three subscales of the MBI
4
are constituted by
three factors: EE, Dp and LPA at work.
Since our study assesses BOS in physiotherapists, the
scale used will be the MBI-HSS, addressed to healthcare
professionals, which is considered the classical version of
the MBI,
4
because it was the first to be elaborated. This
scale consists of three subscales that measure the fre-
quency in which professionals perceive EE. The profes-
sional feels he cannot give more of himself during his
working time, in the emotional dimension or in the af-
fective one. Moreover, they experience feelings of loss of
hope, defencelessness, physical and psychological weakness,
Dp, as well as a negative attitude towards patients, a de-
humanized vision of the patient, a feeling of LPA, negative
self-evaluation in respect to his work performance, a feel-
ing that the work is not worth the trouble and since noth-
ing can be changed at work it is not worth trying anything
new. This dimension, LPA, constituted as a reversed way
to the other two dimensions (EE and Dp), has been crit-
icized by some authors, because it can be a cause of dis-
agreement among studies. Recently, working with items
that assess inefficiency at work has been proposed as an
alternative to reverse the non-efficacy items of the MBI.
Moreover, some studies
5
have defended that while EE and
Dp are clearly interrelated, LPA seems to be an independent
and parallel variable, more related with the context “self-
efficacy,” which is a modulator of BOS. However, in our
study we have used the dimension LPA.
BOS is classified in its three dimensions as: low, mod-
erate and high level, according to the score achieved in
each subscale.
Statistical analysis
Data was analyzed using SPSS 19.0 software. A value of
p<0.05 was adopted for statistical significance. One hun-
dred and fifteen (115) professionals were studied in all.
Significant correlation between joint numeric response
(EE, Dp, LPA and total MBI) and the 18 categorical vari-
ables were searched by carrying out MANOVA test. The
categorical variables that did not provide significant result
in MANOVA weren’t considered in the rest of the study.
For the remaining categorical variables and for every com-
ponent of MBI, ANOVA with Bonferroni method and
Student’s t-test were applied in order to understand the
meaning of those correlations. Correlations between cat-
egorical variables as well as correlations between the com-
ponents of MBI were also considered.
R
esults
The sample included 584 physiotherapists at first, and
22.43% of them replied a total of 131 questionnaires. Af-
ter having applied inclusion and exclusion criteria, the
sample remained in 116 subjects.
After carrying out the MANOVA test for every categor-
ical variable, the only ones that provided significant results
(we understand this as proof of correlation between these
categorical variables and MBI) were: number of working
days per week, type of working day, number of hours of
direct attention to patients and family, number of pa-
tients and type of practice. The results are summarized
in Table 1. We emphasized averages that turned out to be
significantly higher according to ANOVA or Student’s t-test.
LPA is clearly higher in the case of split shift working
day as well as in private practice. Nevertheless, it can be
understood as a redundancy since both categories are
strongly associated, as we can see in Figure 1.
We can also note that more than 40 hours of direct
attention is linked to higher scores in EE, and that more
than 20 patients treated per day is associated with higher
scores both in EE and Dp. Curiously, none of these five
categorical variables, but number of working hours per week,
which is also correlated with type of practice (Figure 2),
provided any significant result for joint MBI. This fact can