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Indian Pediatr 2018;55:784-787 |
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Optimizing Utilization
of Laboratory Investigations in Neonatal Intensive Care Unit
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Sowmya Devarapalli, Shiv Sajan Saini, Venkataseshan
Sundaram and Praveen Kumar
From Division of Neonatology, Department of
Pediatrics, PGIMER, Chandigarh, India.
Correspondence to: Dr Praveen Kumar, Professor and
Head, Division of Neonatology, Department of Pediatrics, PGIMER,
Chandigarh160 012, India.
Email: [email protected]
Received: November 19, 2017;
Initial review: January 27, 2018;
Accepted: June 14, 2018.
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Objective: To optimize utilization of laboratory
tests by measuring baseline rates and appropriateness of investigations,
assessing the barriers to rational use, and developing and implementing
an educational package for resident doctors.
Design: Quality improvement study.
Setting: Neonatal intensive care unit (NICU) from
August, 2015 to December, 2016.
Participants: All neonates admitted in NICU and
resident doctors working in NICU.
Intervention: Addressing barriers, educational
package, posters and group discussions.
Main outcome measures: Laboratory test rates for
hematology, biochemistry and blood gas. Proportion of tests judged to be
inappropriate.
Results: At the baseline, median (IQR) laboratory
test rate patient/day was 0.6 (0.2-1.5) and one-fifth of tests were
classified as inappropriate. Mechanical ventilation and sepsis were
independent predictors of laboratory test rates but could explain only
35% of the disparities, indicating variations in clinical practice.
Following a short period of intervention, hematology investigations
showed a trend towards reduction, though overall test rates did not
change significantly.
Conclusions: Addressing barriers, creating
awareness and educational interventions were able to bring down
hematology laboratory test rates in a short period. A longer period of
sustained intervention is required to demonstrate significant effects on
test ordering behavior.
Keywords: Biochemistry, Blood gas, Hematology, Tests.
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I ncreased usage of laboratory tests is appropriate
if it aids in making accurate diagnosis, planning treatment, shortening
hospital stay or prognostication [1]. Inappropriate laboratory
utilization may include overutilization, underutilization, as well as
ordering incorrect tests. This is seen more frequently in teaching
hospitals [2,3]. The estimates of inappropriate laboratory testing vary
greatly, though Carter gave an overall estimate of 25% in England [4].
Several studies show that routine automated laboratory tests like
complete blood count and electrolyte panels are highly prone to
over-utilization [5].
In developed countries, several initiatives have been
introduced to reduce over-investigation and to change physician behavior
to adhere to guidelines [6,7]. A systematic review suggested that
educational inter-vention has largest reduction in tests but targeting
multiple behavioral factors was more successful than single factor [8].
However, there is very little evidence related to utilization of
laboratory tests in neonates.
The objectives of this study were to assess rates of
laboratory testing and proportion of inappropriate tests in neonates
admitted to neonatal intensive care unit (NICU), to identify barriers
and facilitators for optimum utilization, followed by development and
implementation of an educational package for resident doctors, and to
see its impact on laboratory test rates and their appropriateness.
Methods
This was a quality improvement (QI) initiative
implemented in NICU of a tertiary-care hospital in India. The study was
approved by the Institutional Ethics committee. Waiver of consent was
obtained for individual patients, but informed consent was taken from
individuals participating in Focused group discussions. All neonates
admitted in NICU during the study period were eligible for enrolment.
The study was carried out in four phases and included all tests sent to
hematology, biochemistry and blood gas laboratories.
Phase 1 (Baseline survey/pre-intervention):
Baseline rates of laboratory testing and their appropriateness were
measured for a consecutive period of 30 days. A structured investigation
sheet was placed in each baby’s clinical file. It had columns for
indication for performing the test and action taken following the
receipt of results. Modified NEOMOD (Neonatal multiorgan dysfunction)
scoring was used to assess the level of sickness [9]. All tests were
assessed for appropriateness by a review of case records by three
investigators on the basis of consensus. A test was classified as
inappropriate [10], if any of the following four criteria was met: (i)
the test was not relevant to neonate’s symptoms and provisional
diagnosis, (ii) a normal result was not used to exclude suspected
diagnosis e.g. sending CRP for suspected sepsis and giving
antibiotics even if CRP was reported negative, (iii) previous
test report was not collected/not seen before sending new one, (iv)
the test result did not make any difference to the management and
careful review of the chart and hospital course did not indicate any
change in the clinical status of the patient.
Phase 2: A Focused group discussion with a group
of resident doctors was conducted to understand barriers, facilitators
and felt needs of residents with relation to optimal utilization of
laboratory testing. Posters were developed to sensitize residents
regarding optimal utilization of lab tests and blood conservation. A
compact pocket booklet was developed giving relevant information about
commonly performed laboratory tests in NICU. This included how to send
the test, where to send, which vacutainer to use, costs and result
turn-around time. Protocols for monitoring of laboratory parameters in
common conditions and reference ranges of various laboratory tests were
also included.
Phase 3: The educational package was
implemented with help of faculty and senior residents in the form of
group discussions, presentations and one-to-one discussions. Residents
were encouraged to use the pocket book and feedback was collected.
Phase 4 (post-intervention): The rates of
laboratory tests and their appropriateness was re-measured for a period
of 10 days using the same tools as in Phase 1.
Statistical analysis: Data analysis was carried
out using IBM SPSS 23.0. The rates of laboratory tests were expressed as
per patient day of NICU stay. Normally distributed continuous variables
were compared using t tests. Skewed continuous variables were
compared using Mann Whitney U test. Means of multiple groups were
compared using one way ANOVA. Related samples were compared using paired
t test (when normally distributed) and Wilcoxon signed rank test
(skewed data). Differences in proportions were compared using the Chi
square test. Independent factors affecting the rate of laboratory tests
were assessed by linear regression analysis.
Results
A total of 639 tests conducted in 66 neonates in
pre-intervention phase and 240 tests conducted in 34 neonates in
post-intervention phase were analyzed. Table I depicts
characteristics of subjects in pre- and post- intervention phases which
were similar. The rates and appropriateness of laboratory tests pre- and
post-intervention are shown in Tables II and III.
The overall laboratory test rate was not different between the two
phases but hematology test rates showed a trend towards significant
decrease in post-intervention phase. Overall about one-fifth of tests
were labelled inappropriate. Commonest reasons for tests to be labelled
inappropriate were inadequate sample volume, hemolysis and sample
collection in wrong container. The proportion of inappropriate tests did
not change significantly in post-intervention phase.
TABLE I Comparison of Characteristics of Subjects in Pre- and Post-intervention Phases
Characteristic |
Pre-intervention (phase 1) |
Post-intervention (phase 4) |
P value |
Number of patients enrolled |
66 |
34 |
|
Gestation (wks) (mean (SD)* |
32.1 (3.4) |
32.4 (3.9) |
0.70 |
Birthweight (g), Median (IQR)# |
1256 (960-1647) |
1358(988-1903) |
0.77 |
Male gender, n (%) |
59 |
67 |
0.40 |
Modified NEOMODS score, median (IQR)# |
1.6 (1.0- 2.4) |
2.0 (1.3-3.0) |
0.225 |
Sepsis (suspect and culture proven), n (%) |
29 |
32 |
0.71 |
Continuous positive airway preesure, n (%)
|
53 |
44 |
0.39 |
Mechanical ventilaton, n (%) |
15 |
23 |
0.3 |
Transfusion, n (%) |
4.6 |
17.6 |
0.06 |
Intraventricular hemorrhage grade II and above, n (%) |
1.5 |
8.8 |
0.07 |
Period of observation (d), median (IQR)# |
8 (4 -15) |
6 (4-10) |
0.126 |
*t test, #Mann-Whitney U test. |
TABLE II Laboratory Tests per Patient Day in Pre- and Post-intervention Phases
Lab tests |
Median (IQR) |
P Value |
|
Pre-intervention |
Post-intervention |
|
|
phase |
phase |
|
Total |
0.5 (0.2-1.5 ) |
0.7 (0.2-1.6) |
0.9 |
Hematology |
0.1 (0.0-0.3) |
0.0 (0.0-0.2) |
0.05 |
Biochemistry |
0.1 (0.0-0.3) |
0.05 (0.0- 0.2) |
0.3 |
Blood gas analysis |
0.3 (0.1-0.8) |
0.7 ( 0.1-1.3) |
0.2 |
TABLE III Proportion of Inappropriate Laboratory Tests in Pre- and Post- intervention Phases
Lab tests |
Pre-intervention phase |
Post-intervention phase |
P value* |
|
A |
IA |
% IA* |
A |
IA |
% IA* |
|
Total |
517 |
122 |
19 % |
199 |
41 |
17% |
0.71 |
Hematology |
100 |
21 |
17.3% |
27 |
5 |
15.6% |
0.305 |
Biochemistry |
103 |
44 |
29.9% |
23 |
9 |
28.1% |
0.375 |
Blood gas |
314 |
57 |
15.4% |
149 |
27 |
15.3% |
0.99 |
A: Appropriate; IA: Inappropriate; *Comparison between %
inappropriate tests in pre and post intervention phases. |
The test rates were higher in neonates with birth
weight less than 750 g and in those more than 1500 g, (P=0.12).
As the modified NEOMODS score increased, the laboratory test rate also
increased. The rates were higher in patients with score
ł3 (P=0.01).
Test rates were similar in first 4 days of hospitalization but decreased
thereafter (Web Fig. I). The median (IQR)
rates were higher in first 3 days of hospital stay vs. period
beyond 3 days [0.7 (0.3-1.9) vs 0.6 (0.06 – 1.4), P=0.01].
Linear regression analysis including variables
mechanical ventilation, sepsis, illness severity score (modified
NEOMODS), birthweight and gender revealed that mechanical ventilation ( b
0.299 [95 % CI 0.251- 0.975]; P=0.001) and sepsis (b
0.318 [95 % CI 0.303-1.118]; P=0.001)
were independent predictors of laboratory test rates. The adjusted R
square was 0.349, thereby suggesting unexplained variation in laboratory
test rates, indicating scope for improvement in practice.
Focused group discussion with resident doctors
revealed certain barriers like problems in handover about tests done or
ordered, confusion in interpretation of electrolyte reports from blood
gas and biochemistry laboratory, use of CRP vs procalcitonin in
sepsis screen etc. These were addressed in the pocket booklet and group
discussions.
Discussion
We studied the rates of hematological, biochemical
and blood gas tests in a NICU population and found that the rates of
investigations were higher in neonates with birthweight less than 750
gms and in first 3 days of hospital stay. The test rates increased with
increasing illness severity. Mechanical ventilation and sepsis were
independent predictors of higher rates of laboratory tests. However,
these parameters could explain only 35% of the variation.
There are only limited studies available regarding
the rates of investigations in NICU. Ullmann, et al. [11]
reported comparable median laboratory test rate of 0.7 (0.4) per patient
day from a tertiary care Australian NICU with similar patient profile
[11]. Similar to our study, other published studies have also observed
that blood gas analysis is the most common reason for sampling in NICU
followed by other routine laboratory tests [2,11]. The highest
proportional contribution to inappropriate tests was by biochemistry
tests. The reason for frequent ordering of serum electrolytes can be due
to easy availability and non-reliance on blood gas electrolyte results.
Inappropriate ordering of blood gas analysis can be partly due to easy
availability and partly due to the fact that indication of the test is
based on clinical judgement [11].
Several systematic reviews have been published
regarding the influence of educational interventions in decreasing
laboratory test utilization [2,8]. A quality improvement study
demonstrated significant reduction in blood gases per patient day from
8.2 to 4.8 following introduction of guidelines and regular feedback in
an adult surgical ICU [12]. Merkeley, et al. [13] showed a
decrease in use of complete blood count by 15% and electrolyte panel by
13% in a tertiary-care ICU following educational sessions for hospital
staff. We could identify duplication of hematology tests as emergency
reports were not giving differential counts and repeat tests were sent
to the main laboratory next day. We addressed this issue by requesting
emergency hematology to provide differential counts for sick neonates,
whenever required, so that results can be obtained earlier and also
repeat sampling can be avoided. This helped in significant reduction of
hematology tests in post intervention phase. We could not demonstrate
significant reduction in inappropriately ordered blood gases in the
post-intervention phase. This was partly due to measurement of impact
within very short time gap after intervention. It is known that
interventions aimed at changing the physicians behavior need longer
time-span to show effect. Participants enrolled in post-intervention
phase were more sick and a higher proportion were ventilated, yet blood
gas analysis rates did not increase significantly.
In conclusion, use of hematology laboratory tests in
NICU could be decreased by removing local barriers, and implementing
educational interventions and reminders. A longer period of sustained
intervention, regular audits and improving work flows is required to
show significant effects on test-ordering behavior.
Contributors: PK: conceptualization; SD, PK, SSS,
VS: methodology; SD: data acquisition; SD, PK, SSS, VS: interpretation
and analysis; PK, SSS, VS: supervision; PK, SSS, VS: validation; SD, PK,
SSS, VS: writing, review and editing.
Funding: None; Competing Interest: None
stated.
What is Already Known?
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Inappropriate laboratory
investigations increase cost and blood loss, and may lead to
more tests and wrong diagnosis, and cause anxiety.
What This Study Adds?
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It is possible to optimize utilization of laboratory tests
by addressing local barriers and implementing an educational
package.
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