Low
Documentation of Vaccination History in Hospitalized
Children
.........................................................................................................................
BA Al-Mustafa, Qatif-3 PHC Center.
AR Ghulam, formerly of Vaccination Unit, Department
of Epidemiology, Qatif Primary Health Care.
GM Al-Qatari, Director, Qatif Primary Health
Care.
AA Al-Sinan, Department of Pediatrics, Qatif
Central Hospital.
HM Al-Hani, Infectious Diseases Unit, Maternity
and Children Hospital, Dammam.
AM Al-Omran, Primary care department, National
Guard, Dammam.
Correspondence to:
Bader A. Almustafa, MBBS, DPHC (RCGP), ABFM,
SBFM, ECHS
Consultant family physician,
Qatif-3 Primary Health care,
P.O. Box 545,
Qatif 31911, Saudi Arabia
Tel. +966 3 854 1436 ext. 160,
Fax. +966 3 852 6834,
E-mail: bader@alqatif.org
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ABSTRACT
Background:
Reporting of adverse events following
immunization (AEFI) is very low. This
might be related to low recognition and
documentation by the practicing physicians.
Objectives:
To estimate the level of documentation
of vaccination history and its predictors
for hospitalized children of = 2 years
at the time of clerking.
Settings:
Hospitalized children of = 2 yrs admitted
in 4 governmental and private hospitals
in Eastern Saudi Arabia.
Results:
Out of 299 admission notes, 91.6% used
were in pre-designed forms. Detailed vaccination
history was documented in 1.7% only. "Up-to-date
vaccination" statement was common
in 58.5%, while 39.8% contained no vaccination
history at all. Documentation tends to
be more succinct in pre-designed admission
forms holding a predefined field for vaccination
history. Authors identified 18 (5.8%)
cases with possible AEFI which were missed
by the practicing physicians.
Conclusion:
Vaccination history is poorly documented
in admission notes, which might reflect
poor recognition and reporting of AEFI
by the practicing physicians. Improving
the documentation may result in better
reporting of AEFI.
Keywords:
adverse events; vaccination; Saudi; chart
documentation.
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A wide range of adverse events
follows vaccination. These include different
local, behavioral and systemic effects, which
vary from frequently occurring minor effects
to occasional serious effects1. Monitoring
of adverse events following immunization is
essential and beneficial as shown in Box 12.
|
Box 1: Benefits
of monitoring adverse events following immunization2
|
- Detect new, unusual, or rare vaccine
adverse events
- Monitor increases in known adverse
events
- Determine patient risk factors for
particular types of adverse events
- Identify vaccine lots with increased
numbers or types of reported adverse
events
- Assess the safety of newly licensed
vaccines.
|
WHO has recommended that
all cases requiring hospitalization that occurred
within a month of immunization to be reported.
3 However, such monitoring relies on spontaneous
reporting by clinicians, which is very low in
many countries, including Saudi Arabia, where
it, seldom, approaches zero4,5. This
might be related to low recognition of the problem,
as a possible indication for hospitalization6,7.
This low recognition might be reflected by the
level of documentation of vaccination history
at clinical encounters. Our search failed to
trace any work done to assess the level of documentation
of vaccination history in pediatric admission
notes. However, Philip Kum-Nji and colleagues
in Tennessee showed that admitting physicians
failed to document the immunization status of
22% of the pre-school patients8.
Objectives
This study aims to estimate the level of documentation
of vaccination history and its predictors for
hospitalized children of = 2 years at the time
of clerking.
Two private and two governmental
hospitals were selected from 13 private and
Governmental hospitals working in the main cities
of the eastern province of Saudi Arabia. Ten
percent of pediatric admittances to the medical
pediatric wards were selected using systematic
random sampling.
Children transferred from
other pediatric wards such as nursery, intensive
care units, and surgical wards were not included.
Medical records of children of 2 years and below
admitted in the period March 2001 - March 2002
(Hijri year 1422) were reviewed. Data were collected
from clerking sheets and discharge summaries
of every admittee, by the authors. Data collected
included demographic data, level of documentation
of vaccination history, discharge diagnoses,
whether a pre-printed form has been used for
clerking and whether a specific field for vaccination
is pre-defined.
Documentation of last vaccination
shot was categorized as either "detailed"
when type and timing of the shot was documented
in clerking sheet; "up-to-date" when
statement of up-to-date was documented only;
or "no vaccination history" when no
history related to vaccination was documented.
Three of the authors, individually, reviewed
discharge diagnoses and categorized them upon
their likelihood of being vaccine-related, as
defined by WHO2,3. Diagnosis was
categorized as likely, unlikely or indeterminate
once agreed by two authors out of the three.
Categorical data were cross-tabulated,
while continuous data were recorded into groups
of interval.
Data were tested for significance,
using Pearson Chi Square2? and Fisher's
exact test, where applicable. Stepwise multinomial
logistic regression was used to predict the
level of documentation of vaccination history,
while binary logistic regression was used to
predict the documentation of detailed vaccination
history (DVH) and to predict no documentation
of vaccination history as well. Intra-hospital
data analysis was carried out after controlling
for name of the hospital. A p-value of <
0.05 was considered statistically significant.
Statistical Package for Social Sciences version
11 was used for analysis.
Out of 303 medical records reviewed, four were
excluded due to incomplete data. The characteristics
of the 299 medical records included are shown
in Table 1. Admission notes of hospitalized
children were recorded in pre-designed forms
in 274 (91.6%) of admittees, out of which 250
(83.6%) forms had a specific field for vaccination
history. Admission notes contained DVH, "up-to-date
vaccination" statement and no history of
vaccination at all in 5 (1.7%), 175 (58.5%)
and 119 (39.8%) charts, respectively. Bivariate
analysis of the association of different variables
with level of documentation is shown in Table
1.
|
Table 1:
Level of documentation of vaccination history
among different variables in pediatric admissions |
| |
n (%) |
DVH |
"Up-to-date"
statement |
No vaccination History |
p value 1
Level of Vaccination Hx |
p value 2
DVH |
p value 3
NoVaccination Hx |
|
Sex
|
|
|
|
|
|
|
|
|
Female
|
113 (37.8) |
1 (.5%) |
115 (61.8%) |
70 (37.6%) |
.068* |
.062 |
.195 |
|
Male
|
186 (62.2) |
4 (3.5%) |
60 (53.1%) |
49 (43.4%) |
|
Age
|
|
|
|
|
|
|
|
|
<1
year
|
206 (68.9) |
5 (2.4%) |
121 (58.7%) |
80 (38.8%) |
.418* |
.153 |
.351 |
|
≥1
year
|
93 (31.1) |
0 |
54 (58.1%) |
39 (41.9%) |
|
Hospital
|
|
|
|
|
|
|
|
|
A
|
21 (7) |
0 |
0 |
21 (100%) |
<.001* |
.173 |
<.001 |
|
B
|
37 (12.4) |
2 (5.4%) |
0 |
35 (94.6%) |
|
C
|
212 (70.9) |
3 (1.4%) |
148 (69.8%) |
61 (28.8%) |
|
D
|
29 (9.7) |
0 |
27 (93.1%) |
2 (6.9%) |
|
Hospital
Property
|
|
|
|
|
|
|
|
|
Government
|
249 (83.3) |
5 (2.0%) |
148 (59.4%) |
96 (38.6%) |
0.506* |
.398 |
.205 |
|
Private
|
50 (16.7) |
0 (.0%) |
27 (54.0%) |
23 (46.0%) |
|
AEFI
Probability
|
|
|
|
|
|
|
|
|
Likely
|
19 (6.4) |
0 (.0%) |
12 (63.2%) |
7 (36.8%) |
.870* |
.295 |
.925 |
|
Unlikely
|
242 (80.9) |
4 (1.7%) |
142 (58.7%) |
96 (39.7%) |
|
Indeterminate
|
38 (12.7) |
1 (2.6%) |
21 (55.3%) |
16 (42.1%) |
|
Use
of Clerking Form
|
|
|
|
|
|
|
|
|
Yes
|
274 (91.6) |
5 (1.8%) |
175 (63.9%) |
94 (34.3%) |
<.001* |
.644 |
<.001 |
|
No
|
25 (8.4) |
0 |
0 |
25 (100.0%) |
|
Predefined
Vaccination Field
|
|
|
|
|
|
|
|
|
Yes
|
250 (83.6)† |
5 (2.0%) |
175 (70.0%) |
70 (28.0%) |
<.001* |
.630 |
<.001 |
|
No
|
24 (8.0) |
0 |
0 |
24 (100.0%) |
|
Total
|
299 (100.0%) |
5 (1.7%) |
175 (58.5%) |
119 (39.8%) |
|
|
|
*Fisher's Exact Test. Out of 274 Clerking
Forms. DVH= detailed vaccination history
Logistic regression showed no predictive effect
of any of these variables for the level of documentation
of vaccination history, the documentation of
DVH and the absence of any documentation. Controlling
for the name of the hospital did not affect
the result of the analysis.
Only two admittees had a discharge diagnosis
of AEFI. These were a case of BCGitis and post
vaccination convulsion, respectively. Discharge
diagnoses that the authors have labeled as "possibly-missed
AEFI" are summarized in Table 2. None of
their charts hold DVH .
|
Table 2: Discharge
diagnosis likely to be an AEFI |
| Diagnosis |
n (%) |
| Afebrile
convulsion |
4 (1.3) |
| Cervical
abscess |
1 (0.3) |
| Cervical
lymphadenitis |
1 (0.3) |
| Febrile
convulsion |
2 (0.6) |
| Fever |
8 (2.7) |
| ITP |
1 (0.3) |
| Occipital
abscess |
1 (0.3) |
| Total |
18 (5.8) |
ITP = Idiopathic Thrombocytic Purpura
This study demonstrated a very low documentation
of DVH, which was less than 2% of admittees
in the study period. Worth noting is that no
specific factor could predict this behavior.
This might be due to the low frequency of admittees
with documented DVH, or to other factors that
were not included in our study, such as practitioner's
awareness.
However, DVH tends to be documented in clerking
forms holding a vaccination field, which might
work as a reminder. Earlier studies have shown
that chart reminders and pre-printed forms have
resulted in more complete and more succinct
admission notes9,10. DVH is found
to be more in admittees less than one year of
age, which clearly reflects the perception that
most vaccination shots are accumulated in this
age group.
No vaccination history was documented in high
proportion (39.8%) of admittees. This is in
comparison with 22% failure to document vaccination
status reported by Philip Kum-Nji and colleagues
in Tennessee. Low levels of documentation of
vaccination history is likely to result in missed
recognition of AEFI and missed opportunity to
catch missed immunizations for possible catch-up
correction.
Interesting to note is that all admittees with
no clerking forms and all clerking forms with
no pre-defined vaccination field have no documentation
of vaccination history. This would emphasize
the role of such forms and their design in directing
the practitioners towards better documentation.
None of the likely AEFI had DVH. This might
reflect the low recognition of practitioners
towards AEFI.
Expected post-vaccination admissions in studied
districts have been calculated using the local
vaccination data and an attributable risk of
admission in vaccinee less than 2 years of age
of 22.5/100,000 vaccinee11. The number
of vaccinees in studied districts is almost
160,00012. Thus the expected post-vaccination
number of admissions in studied districts is
36 vaccinees. The expected number in our sample
is 3 to 4 admittees. This study could elicit
only one discharge diagnosis of an AEFI, i.e.
less than one third of the expected number.
This low number, in addition to the very low
documentation of DVH, suggests low recognition
of this problem as a reason for hospital admission.
Documentation of vaccination history is poor
and diagnosis of AEFI is low. It is possibly
due to low recognition and inertia of practitioners.
This poor practice might be a reason for the
very poor reporting of AEFI.
Improve the quality of AEFI recognition by
modalities such as:
- Increasing awareness of practitioners towards
AEFI in undergraduate and postgraduate training.
- Re-tailoring clerking forms to include
a pre-defined field for DVH, i.e. type and
timing of last shot.
- Improving consumer awareness towards the
problem by educating the parents towards the
possible AEFI and to take a vaccine chart
with them on every visit to the doctor.
We would like to thank all doctors and nurses
working in the sampled hospitals for their contribution
in collection of data. Particular thanks to
Mr. Abdullah Abdulaal for his valuable secretarial
work.
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