Use of Triggers to Detect
Adverse Drug Reactions of Gastrointestinal Tract in Outpatient Department
A.S.
Khairnar*, P.M. Patil, N.U. Patil and P.R. Gade
University
Department of Interpathy Research and Technology, Maharashtra University of
Health Science, Nashik
ABSTRACT:
The use of “triggers”, clues to identify Adverse Drug
Events (ADEs) is an effective method for measuring the overall level of harm
from medications in a health care organization. The use of multiple medications
is a serious problem in current health care system. To
detect the Adverse Drug Reactions (ADR) in
gastrointestinal drugs by using trigger tool methodology was done in civil
hospital and one of the private hospital of Nashik city. It includes enrolment
of the patient in Out Patient Department (OPD) according to Inclusion Criteria
(IC) and Exclusion Criteria (EC). The patient was selected by using consecutive sampling method. Written informed consent was taken from
recruit patient by using informed consent form. Once the informed consent was obtained,
patient’s prescription was studied and was followed every 7 days by telephonic
conversation and every month in OPD. Prescription was studied and analysed by observing the prescription of
the patient by using predetermined triggers associated with possible adverse
drug event for next seven days. After finding specific trigger we kept record of all finding on
ADE report form. Total number of prescriptions was considered and total number of
Triggers was calculated in percentage .Total number of positive triggers which
had shown ADR was calculated accordingly. Out of 180 sample size total triggers were found to be
15 (8.3%), and ADR reported to be 7 (3.8%). We found 8 (4.4%) such triggers
which could not detect any ADR. Improving
trigger tools and applying them in analyzing the ADR will surely detect the ADR
and reduce the risk and harms in patients.
KEY-WORDS: Gastrointestinal
System, Adverse Drug Reaction, Trigger Tool, Adverse Drug Event
INTRODUCTION:
There are
many terms indicating the harmful and undesirable effects of drug treatment,
the term ‘adverse drug reaction’ describes the best1. ADRs are an
important cause in hospitalization, morbidity, and mortality in patients.
2 Increase percentage hospital admission due to drug related event in
some countries is more than 10 %. High interest in ADR was stimulated by the
thalidomide catastrophe in 1960.3 Any unintended effect on the body
as a result of the use of therapeutic drugs, drugs abuse, or the interaction of
two or more pharmacologically active agents.[4] ADRs are diverse;
any organ can be the principal target or several systems can be involved
simultaneously. Knowing this it becomes very difficult to prescribe a medicine
safely.4
A major reason for these drug products recalls is that remarketing studies
treat to few patients (3000– 4000) to detect uncommon drug effects. The adverse
drug effect that occurs in only 25,000 people would go unnoticed in only 4000 treated
patients in the remarketing phase. It is simply impossible to identify all the unintended consequences
of drug before they are marketed.5
The full range of adverse reactions may not be known
until a drug has been used in hundreds of thousands of people or in some cases
after exposure for prolonged periods or only long after exposure to the drug.
Proving that a specific drug is responsible for an adverse event in a patient
may be extremely difficult because of multiple drug exposures and underlying
illnesses.6 ADR is distinction between type A (pharmacological) and
type B (hypersensitivity). Type A is also called as predictable reaction these
are based on pharmacological properties of the drug. They are more common dose
related, and mostly preventable. It includes side effects, toxic effect,
secondary effect, drug interaction. Type B also called as unpredictable
reaction. These are less common dose related, generally more serious and
require withdrawal of the drug. It
includes immune mediated (allergic reaction).7
To avoid or
to prevent adverse drug reaction “Triggers” or “Clues” to identify adverse drug
events is an effective method for measuring the overall level of harm
medication in a Health care organization. The trigger tool for measuring
adverse drug events provides instruction for conducting a retrospective review
of patient’s records using triggers to identify possible ADE. 8
Use of
triggers to detect the ADR of the drug relatively low cost, and low technique.
The adapted technique appears to increase the rate of ADE detection approximately
50 fold over traditional reporting methodologies.9 In these system
specific events including the order for antidotes, surtain abnormal laboratory
values and adrift stop orders serve as a triggers to initiate a more detail
concurrent chart audit.10 The ability to screen rapidly and
comprehensively provides opportunity to rectify the processes that facilitates
ADE and reduce their impact on patients while subsets of medication related
harm may escapes predictability the rapid identification of these events may
revel patterns likely to generate ADEs.[9]This tool accepts the
National Co-Coordinating Council For Medication Error Reporting And Prevention
index ( NCC MERP) for categorizing error. The tool includes categories E, F, G,
H, and I of the NCC MERP index because these categories describes medication
harm as this tool is design to find harm. 8
Amongst the organ systems affected, gastrointestinal ADRs constituted
a major component10 considering increased
incidence of ADRs in Gastrointestinal Tract (GIT) in OPD Patient. There
is no study which focuses on easy identification of AE in GIT system, therefore
present study aims to identify and use triggers tool for detection and prevention of ADR’s of GI in OPD patient.
Material and Method:
This study was
prospective observational study consider patient from
medicine outpatient department in civil hospital and private clinic in Nasik.
The Institutional Ethical Committee approval was received before initiation of
study. The study was undertaken for
12 weeks. We Triggers tool methodology was used for ADR monitoring. It includes
enrolment of the patient in OPD according to IC/EC. Inclusion criteria like subject of irrespective of age included in the study. New Subjects coming to OPD on that
particular day. The patient was selected by using consecutive sampling method. Written informed consent was
obtained from patient. Once the informed consent was obtained, patients prescription was
studied and was followed every 7 days by telephonic conversation and every month
in OPD. Prescription was studied and analysed by observing the prescription of the patient
by using predetermined triggers associated with possible ADE for next seven
days. After finding specific trigger we kept record of all finding on ADE report form. Finally we
summarized all data on monthly data collection sheet and after analyzing the
data possible trigger was confirmed. Total number of prescriptions was considered
and total number of Triggers was calculated in percentage .Total number of
positive triggers which had shown ADR was calculated accordingly.ADR
assessment was done by WHO Scale and Naranjo’s causality assessment Scale.
RESULT:
Out of 180 patient studied 7 patients (3.8%) developed
ADR and 15 (8.3%) triggers were found to detect ADR in GIT out of which 3.8% of
triggers were positive (showing response between trigger and adverse event)
(table 2). ADRs were found to be of Harm Category E (table no 1) and Mild in
Nature. We found 8 (4.4%) such triggers which could not detect any ADR. All ADRs were “possible” according WHO Scale
and Naranjo’s causality scale (table 3). Preventability assessment was
performed by Schumock and Thornton preventability
assessment scale out of ADR received, only one ADR was
preventable (table 4).
TABLE: 1: LIST OF ADR
|
Sr.
No. |
ADR |
HARM
CATEGORY* |
|
1 |
Epigastric Pain |
E |
|
2 |
Epigastric Pain |
E |
|
3 |
Epigastric Pain |
E |
|
4 |
Nausea |
E |
|
5 |
Diarrhoea |
E |
|
6 |
Constipation |
E |
|
7 |
Pseudomembranous colitis, |
E |
*Category E: contributed to or resulted in temporary
harm to the patient and required intervention 15.
TABLE: 2 LIST OF TRIGGERS AND
ADR
|
Sr.
No. |
List
of Triggers |
No.
of Triggers |
ADR |
No. of ADR |
|
1 |
Gastritis |
5 |
Epigastric pain |
3 |
|
2 |
Antiemetics |
4 |
Nausea |
1 |
|
3 |
Antidiarrhoal |
3 |
Diarrhoea |
1 |
|
4 |
Metronidazole
(oral) |
1 |
Pseudomembranous colitis, |
1 |
|
5 |
Laxatives |
2 |
Constipation |
1 |
TABLE: 3 CAUSALITY ASSASSMENT
AS PER WHO and NARANJO’S SCALE
|
ADR |
WHO
SCALE |
Naranjo’s
Scale* |
|
Epigastric Pain |
Possible |
4 |
|
Nausea |
Possible |
4 |
|
Diarrhoea |
Possible |
4 |
|
Pseudomembranous colitis, |
Possible |
3 |
|
Constipation |
Possible |
3 |
*Naranjo’s Scale: Score • >
9 = definite ADR, • 5-8 = probable ADR, • 1-4 = possible ADR • 0 = doubtful ADR
TABLE: 4: PREVENTABILITY
ASSESSMENT
|
ADR |
PREVENTABLE* (YES/NO) |
|
Epigastric Pain |
NO |
|
Nausea |
NO |
|
Diarrhoea |
NO |
|
Pseudomembranous colitis |
YES |
|
Constipation |
NO |
* According to Schumock and
Thornton preventability assessment scale14.
DISCUSSION:
Our efforts were directed towards to use trigger tool
for investigating clinical events associated with harm that could be more
widely applied in clinical practice. We found 15 triggers in a sample size of
180 and ADR findings were 7. We found ADR like epigastric pain, nausea,
constipation, diarrohea, Pseudomembranous colitis, which was of harm category E. Total
percentage of ADR was 3.8% and out of 8.3% trigger 3.8% found to detect adverse
drug reaction in gastrointestinal tract. Using this tool Mull et al., created 23 triggers that addressed 55 high-harm outpatient drugs and
ADEs and concluded that informatics tools can facilitate the design of
clinically rich triggers. More investigation is needed to determine whether the
performance characteristics of clinically rich triggers are better than those
of simple triggers.11
Another study done in patient department by Rozich et al., examined
data in more than 2800 charts from 86 different hospitals with more than 268
000 separate medication doses using a trigger tool to uncover ADEs. Using teams
of two healthcare professionals found that the trigger tool can be efficiently
and consistently applied to describe the extent and scope of the ADEs
identified in different inpatient organizations.9 One another study done by Michael N
Cantor et al., used a
trigger phrases methodology detected 38 of 54 cases in the authors’ gold
standard set, of which 17 were true positives, for a sensitivity of 31%, a
specificity of 98%, and a positive predictive value of 45%. Their proxy measure
correlated with 70% of the ADRs in the gold standard and conclude that an
automated system can detect ADRs with moderate sensitivity and high specificity,
and has the potential to serve as the basis for a larger scale reporting
system.[12] The study
done a Ascension Health demonstrates that ADEs per 100 patient days have not
statistically changed from the baseline mean of 1.39 to a mean of 1.11 At Saint Thomas, ADEs per
100 patient days decreased from a baseline mean of 3.04 to a mean of 1.21 representing a 60%
reduction. ADE Trigger Tool results have not shown a consistent reduction in
ADEs.13.
The evolution of the trigger tool into more general
method for investigating practice patterns provides a powerful new conceptual
framework to understand, quantify and track harmful events. Limitations
in our study were found to be loss of follow up of patient in Out Patient
Department patient and small sample size. Our study result demonstrates that trigger tool is a
relatively simple method which permits consistently accurate identification and
measurement of a broad range of adverse events that are directly linked to
clinical harm. Present study can be helpful for the GI system practioners to
rapid identification and prevention of the ADR. The incidence and severity of
ADRs documented in our study are lower than those reported in other study but
these results show that trigger tool can detect ADRs and has the potential to
serve as the basis for a larger scale reporting system out patient department.
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Received on 10.07.2011
Accepted on 10.07.2011
© A&V Publication all right reserved
Research J. Pharmacology and
Pharmacodynamics. 3(5): Sept –Oct. 2011, 260-262