Dagdeviren N, kturk
Z, Set T, Ozer C,
Department of Family Practice, Trakya
University Medical Faculty, Edirne,
Turkey
Mistik S,
Department of Family Practice, Erciyes
University Medical Faculty, Kayseri,
Turkey
Durmus B,
Department of Internal Medicine, Haydarpasa
Teaching Hospital, Istanbul, Turkey
Unluoglu I,
Department of Family Practice, Osmangazi
University Medical Faculty, Eskisehir,
Turkey
Turan SET, MD
Trakya University Medical Faculty
Department of Family Practice
22030 Edirne, Turkey
Phone: +90 533 211 6190
Fax: +90 284 2357652
E-mail: turanset@yahoo.com
|
ABSTRACT
Objective: To
compare the ECG reading skills of
a sample of family physicians with
those of untrained physicians and
internists.
Design: A prospective
analytic survey conducted between
March and June 2002.
Setting: Turkish
Association of Family Physicians,
faculty from two different university
hospitals, and untrained general practitioners
in Edirne.
Subjects: Fifty-nine
family physicians (37 senior clerks,
22 residents), 30 untrained general
practitioners, and 51 internists (20
senior clerks, 31 residents) have
joined the study.
Main outcome measures:
ECG reading skills of the participants
were evaluated with a set of ten different
ECGs. Each ECG could be normal or
with up to three abnormalities, with
overall 16 abnormalities. Correct
and false diagnosis scores, and non-response
rates were calculated.
Results: Of the
total participants, 94 (67.1%) could
correctly identify two correct ECGs,
and 119 (85.0%) could identify acute
myocardial infarction. The correct
and false diagnosis scores of senior
family physicians, family physician
residents, untrained general practitioners,
senior internists, and resident internists
were 7.05±2.30 vs. 2.54±1.63,
6.59±2.46 vs. 2.73±1.98,
4.73±1.84 vs. 2.40±1.54,
9.85±2.06 vs. 1.20±1.15,
and 8.16±2.19 vs. 1.71±1.07
respectively. There was a significant
difference with regard to correct
(F=18.983, p=0.000) and false (F=4.284,
p=0.003) diagnosis scores between
the groups. The normal ECG had the
lowest non-response rate whereas the
ECG with left bundle branch block
had the highest non-response rate.
Conclusion: Although
some groups achieved better in ECG
interpretation, and family physicians
are in an intermediate place of the
spectrum, average scores of all groups
are below acceptable levels. There
is a need to improve the ECG interpretation
skills of medical undergraduates.
|
Key words: ECG
interpretation, primary health care, medical
skills.
Electrocardiography
(ECG) is still regarded as the basic tool
in the evaluation of cardiac diseases. It
is performed in approximately 2 % of all
office visits, and 30 % to 38 % of these
ECGs will be abnormal [1]. ECG may be an
important tool in primary care and it can
considerably reduce the number of unnecessary
referrals [2].
However,
studies have revealed insufficiencies in
the ECG interpretation skills of primary
care physicians. In a study of Sur et al.
21% of the US family practice residents
could not identify ECG findings of acute
myocardial infarction [3]. Margolis et al.
obtained similar results from family practice
residents in the United Arab Emirates [4].
Although difficulties in ECG interpretation
seem to transcend geographical boundaries,
it is not clear whether the capabilities
of family physicians are lower than those
of other specialties.
This study
compared ECG interpretation skills of family
physicians, untrained physicians, and internists
from two different geographical locations
in Turkey and investigated the effecting
factors.
Setting
The study was conducted between March and
June 2002. During that period, it was not
necessary to have a special training (postgraduate
training) in order to work in primary care;
family physicians as well as untrained medical
school graduates were working in primary
care positions in Turkey; medical students
had two months of internal medicine clerkship
and 12 months of internship during the six
years of undergraduate medical education;
family medicine residents were receiving
9 months of internal medicine rotation (this
training did not have any cardiology components);
and internal medicine residency included
5 months of cardiology rotation. On the
other hand, continuous medical education
is not an obligation for either untrained
physicians or specialists in Turkey.
Sample
The samples in this study consisted of five
different groups: family practice specialists
(SFM), family practice residents (RFM),
internal medicine specialists (SIM), internal
medicine residents (RIM), and untrained
physicians (UP). Untrained physicians are
just graduates from medical schools in Turkey,
who do not have any residency education
or other vocational training, but still
can work in primary care facilities.
Eighty family physicians were
selected randomly from the registry of Turkish
Association of Family Physicians (total
793 family physicians) and asked to join
the study. 59 family physicians (73.8 %)
have accepted to join. Of the family physicians,
37 were specialists and 22 residents. Their
mean time (mean ± SD) of being in
that current position was 2.68 ±
2.07 years (min. 1, max. 10) and 2.05 ±
1.17 years (min. 1, max. 5) respectively.
Nine primary healthcare offices
with 38 physicians (all without postgraduate
education) are providing primary care to
140.000 inhabitants in Edirne. All untrained
physicians working in Edirne, were asked
to join the study. Thirty (78.9 %) out of
38 accepted to join the study. The mean
time (mean ± SD) of the untrained
physicians for being in the current position
was 6.10 ± 3.50 years (min 1, max.
12).
All internal medicine residents
and specialists from a teaching hospital
and a medical faculty were invited to join
the study. Out of 68 physicians invited,
51 (70.0 %) have accepted to join. Twenty
of the internists were specialists and 31
were residents. Mean time (mean ±
SD) of the participants for being in their
current positions was 3.29 ± 3.64
years (min. 1, max. 15) and 2.71 ±
1.04 (min 1, max. 4) years respectively.
Demographic features of the different groups
are presented in Table
1.
Measurement instrument
A measurement instrument was developed similar
to that of Margolis et al. [4] consisting
of 10 standard ECGs with 12 leads. Each
ECG contained one to three clinical diagnoses
with a total of 16 diagnoses in the ECG
set. Two of the ECGs were normal. The measurement
instrument was applied in a comfortable
atmosphere without giving any clinical information.
Three researchers were trained and used
for this purpose. The participants had 20
minutes to complete the instrument. They
were not allowed to use any additional tool
during this process. Before measuring the
ECG interpretation skills, a questionnaire
was given to each participant to obtain
demographic data such as age, sex, date
of receiving medical license, and current
position. No other discriminating question
was asked to prevent violation of anonymity.
Statistical analysis
One of the researchers was the final rater.
He checked the responses of the participants
to the ECG sets and scored correct diagnoses
(CD) and false diagnoses (FD) for each ECG.
By counting the CD and FD of each ECG, correct
scores (CS) and false scores (FS) were calculated
for each individual. The results were evaluated
by a computer using the SPSS package program
(SPSS for Windows release 10.0.5, standard
version, SPSS, Inc, Chicago, 1989-1999).
Comparisons were done with chi-square, Pearson's
bivariate correlation, Kruskal-Wallis, one-way
ANOVA, and Tukey's post hoc analysis.
There was statistically significant
difference between groups with regard to
correctly diagnosing right and left bundle
branch block, past myocardial infarction,
sinus bradycardia, acute myocardial infarction,
left ventricle hypertrophy, atrial flutter,
first-degree atrioventricular block, and
pace maker. Family practice residents and
untrained physicians were significantly
less successful in correctly identifying
acute myocardial infarction when compared
with other groups (p=0.003; Table
2).
|
|
There was no significant correlation
between the work experience (the mean duration
of the current position) and mean CS and
FS (p>0.05).
Specialists of internal medicine
and untrained physicians have received the
highest and lowest mean correct scores respectively
(9.85 ± 2.06 vs. 4.73 ± 1.84).
Mean CS values for family medicine specialists,
family practice residents, and internal
medicine residents were 7.05 ± 2.30,
6.59 ± 2.46, and 8.16 ± 2.19
respectively. In accordance with this, total
response rates (CS + FS) of SIM, RIM, SFM,
RFM, UP were 11.05, 9.87, 9.59, 9.32, and
7.13 respectively (Figure
1). There was a statistically
significant difference between these values
(F=18.983, p=0.000). Tukey's post hoc analysis
was performed in order to search for the
groups creating the difference (Table
3). This analysis revealed that
untrained physicians were less successful
compared with family practice specialists
and internal medicine specialists, whereas
family practice residents were less successful
compared with internal medicine specialists
and internal medicine residents.
Family practice residents
received the highest false scores whereas
internal medicine specialists received the
lowest false scores (mean ± SD: 2.73
± 1.98 vs. 1.20 ± 1.15). The
mean false scores for family practice specialists,
internal medicine residents, and untrained
physicians were 2.54 ± 1.63, 1.71
± 1.07, and 2.40 ± 1.54 respectively
(Figure 1). There was a statistically significant
difference between these values (F = 4.284,
p = 0.003). Tukey's post hoc analysis was
performed in order to determine the groups
responsible from the difference (Table
4).
The highest error rate was
in the ECG set with pacemaker and atrial
fibrillation diagnoses. 32.8 % (n = 46)
of the participants received false scores
from this ECG set. The lowest error rate
was in the ECG set with acute myocardial
infarction and sinus bradycardia. Only 7.9
% of the participants (n = 11) got false
scores from this ECG set.
Normal ECG and acute MI were
selected as the most important key diagnoses
important for all specialties There was
no statistically significant difference
between groups with regard to correctly
identifying two normal ECG sets plus acute
MI (X2=3.54; p=0.471) (Table
5). Of the total sample,
54.2 % (n = 76) could correctly identify
these three diagnoses. On the other hand,
correct identification rates of the normal
ECG's and acute MI were 67.1 % (n = 94)
and 85 % (n = 119) respectively.
Median non-response rates of the groups
were calculated. UP's had the highest non-response
rates followed by RI, SFP, RFP, and SI (Median
non-response rates 3.5, 2, 1, 1, and 0 respectively)
(Kruskal-Wallis X2=25.7, p<0.001). The
highest non-response rate was observed in
the ECG 9 (n=79, 56.4%), which contained
the diagnoses left bundle branch block and
atrial flutter whereas the lowest non-response
rate was in ECG 4 (n=12, 8.6 %) (Table
6).
ECG interpretation skills
are important for all clinicians and many
studies from different countries have revealed
that the problem is universal [3-6]. This
study examines the problem by focusing on
primary care physicians and comparing them
with internists.
These results should be interpreted
in the view of the undergraduate and residency
education curriculum of Turkey. Currently,
there is a common curriculum for family
practice residency education throughout
Turkey, which does not contain any place
for cardiology rotations [7]. In our opinion,
lack of cardiology education during family
practice residency is the main reason why
family physicians scored less than internists
in this study. Family physicians gain their
skills probably during their internal medicine
rotations and from patient encounters in
their practices. However, although not at
the desired level, it is clear that specialisation
makes a difference. Family physicians are
in an intermediate place between internists
and untrained physicians.
The differences between family physicians
and untrained physicians raise concerns
about a potential lack of sufficient ECG
training in undergraduate medical education.
curriculum. This finding, while limited
to Edirne, has implications for the rest
of the nation.
We assume that ECG reading
capabilities certainly play some role in
the referral rates to secondary and tertiary
levels. The referral rate in the primary
health care is currently around 14.4 % for
Turkey [8]. Insufficiencies in ECG reading
probably can be regarded as a factor that
makes primary care physicians fear cardiac
symptoms, but this topic needs investigation
by other studies.
There was statistically significant
difference between the groups with regard
to most of the diagnoses. It is interesting
to note that all diagnoses that reveal no
difference between the groups are normal
ECGs or those related to cardiac rhythm
disturbances. These are relatively easy
to diagnose just by measurement of cardiac
rate. On the other hand, specialists of
internal medicine were more successful than
other groups in identifying diagnoses that
are more difficult.
Correct recognition of an
acute MI strip is one of the important skills
primary care physicians should have [2].
While only 66.7 % of the untrained physicians
could identify acute MI, this percentage
increases to 91.9 % for specialists of family
medicine. This finding supports our assumption
on the insufficiency of undergraduate medical
education to cover the clinical requirements
of the graduates.
The total of CS plus FS did
not approach the total number of diagnoses
(i.e. 16) in any group. This reveals that
all groups, but especially the untrained
physicians, have doubts in making a certain
decision on the ECG sets. Although we expect
somehow reverse findings in the results
of false scores, untrained physicians represent
an exception in this picture. Pacemaker
is a rare diagnosis encountered in primary
care [1]. We assume that the current undergraduate
as well as postgraduate curricula of all
groups in this study should be questioned
with regard to teaching ECG reading skills.
We conclude that especially physicians working
at primary care positions have less chance
to have patients with pacemakers, and are
thus less successful in correctly identifying
this diagnosis.
Aspects Concerning Education
These findings show that, graduates of medical
faculties do not have the necessary qualifications
for ECG interpretation. However, there is
an agreement that the aim of medical education
is to train graduates for some kind of specialisation,
including family practice [9]. Hence, it
is understandable that medical graduates
are not ready to practice in primary care
settings. The fact that medical graduates
can work in primary care is the side of
this problem, which might be a disadvantage
for patients. Information seeking among
primary care physicians is a problem for
coping with the growing knowledge of medicine
[10] Lack of obligations for continuous
medical education may be an explanation
for lower scores of untrained physicians.
Another reason may be the relatively low
availability of diagnostic tools including
ECG in the Turkish primary health centres.
Although internists have performed
better than family physicians, both groups
seem to have problems with ECG interpretation.
One striking result of this study is that
even the specialists of internal medicine
could get a score of only 9.85 out of 16
(61.6 %). We suggest cardiology rotations
of certain durations for all residency trainings
where ECG reading skills are important.
A curriculum focused especially on diagnoses
prevalent for primary care should be applied
to family practice residents, taking place
in cardiology departments and primary care
offices together.
Structured training programs
of ECG interpretation skills are in fact
necessary for all clinical specialties dealing
with the patient.
Work experience should contribute
to knowledge enhancement. However, given
the fact that there is no correlation between
work experience and total correct and false
scores, we assume that work circumstances
have no effect in improving the diagnostic
skills,
Limitations
Although we tried to include the maximum
sample size from each group, it was not
possible to reach a nationally representative
sample. Hence, this is just a study comparing
different medical specialties. The samples
of different groups were selected with similar
characteristics with regard to sex, but
the same is not true for age; specialists
are older due to the time elapsed in residency
education. On the other hand, there are
some non-respondents, who might be assumed
as different than the study population,
but it is not possible to clarify this issue
in this study setting.
There is currently no standardised
instrument to measure ECG reading skills.
We developed our own instrument in the light
of the literature and with the counselling
of a cardiologist.
Although particularly important
for branches such as internal medicine,
paediatrics, and family medicine, ECG reading
is a skill necessary for all clinicians.
To reveal a whole picture exposing the different
factors on the degree of ECG reading skills,
studies covering all physician groups with
higher sampling rates should be conducted.
A standardised ECG set can be developed
for this purpose in order to help researchers
from different nations to plan studies enabling
international comparison.
Conclusion
This study has demonstrated that family
practice residency education contributes
to ECG interpretation skills. Beyond that
the skills are not satisfactory enough,
we do not think that formal education has
much contribution to this effect. Personal
efforts and the efforts of individual educators
probably have much more effect in this matter.
We think that the addition of formal cardiology
training in family practice residency education
will help to close the gap between internists
and family practitioners. This study also
supports the fact that primary care physicians
must have special training in accordance
with international standards in order to
work in the field. There is a need to improve
the ECG interpretation skills of medical
undergraduates supported by appropriate
postgraduate education.
|