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Iranian Journal of Pharmaceutical Research

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Cover image of the article: Study of Drug-Drug Interactions in Prescriptions of General Practitioners and Specialists in Iran 2007-2009

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Outline

https://doi.org/10.22037/ijpr.2011.1052

Study of Drug-Drug Interactions in Prescriptions of General Practitioners and Specialists in Iran 2007-2009

Authors

Fariba Ahmadizara,*, Fatemeh Soleymania, Mohammad Abdollahib
aRUD Committee, Deputy for Food and Drug Affairs, Ministry of Health and Medical Education, Tehran, Iran.
bFaculty of Pharmacy and Pharmaceutical Sciences Center, Tehran University of Medical Sciences, Tehran, Iran.
*Corresponding Author: Corresponding author: E-mail: ahmadizar_f@yahoo.com Email:
Iranian Journal of Pharmaceutical Research:Vol. 10, issue 4; 921-931
Published online:Oct 31, 2011
Article type:Original Article
Received:Feb 28, 2010
Accepted:Nov 30, 2010
How to Cite:Ahmadizar F, Soleymani F, Abdollahi M. Study of Drug-Drug Interactions in Prescriptions of General Practitioners and Specialists in Iran 2007-2009. Iran J Pharm Res. 2011;10(4):e126000. doi: https://doi.org/10.22037/ijpr.2011.1052

Abstract

Prescriptions written by general practitioners and medical specialists were studied and compared to determine the type, time of onset and clinical importance of drug-drug interactions (DDIs) in an attempt to reduce further complications.

In 2007, 28, 956, 638 prescriptions and 15, 610, 912 prescriptions in 2008 were filled by pharmacies affiliated with medical science universities. These prescriptions, prescribed by physicians from 33 Iranian medical universities nationwide were then evaluated with a prescription processing software named Pardazesh Nosakh. After processing and analyzing the data, DDIs were discovered in 14 different medical specialists consisting of internists, cardiologists, neurologists, psychiatrists, neurosurgeons, general surgeons, infectious diseases, urologists, dermatologists, ENT, ophthalmologists, orthopedists, and pediatrician. The results were then analyzed through methods applied in the book of Drug Interaction Facts.

The results revealed that in 2007-2008, 0.77% of prescriptions had DDIs out of which 0.67% were with significant clinical importance. The percentage of interactions with significant clinical importance was higher in prescriptions of medical specialists and of those, cardiologists and internists ranked top on the list, while dermatologists ranked the lowest. The most common interacting combination prescribed was digoxin and furosmide in 2007-2008, and captopril and triamteren in 2008-2009. Moreover, this study showed that polypharmacy was an important factor which led to DDIs. Drug interactions were common among outpatients prescribed multiple medications and the rate of DDIs increased with the number of drugs prescribed.

It is our opinion that by being up-to-date on drug information and participating in related educational classes and workshops, physicians can increase the chances of choosing the correct drug treatment and hence significantly decrease possible DDIs side effects.

Highlights

KeywordsDrug-drug interactionsClinical significantPolypharmacyPatient

Introduction

Among medical errors, potentially serious drug-drug interactions (DDIs) have recently received increased attention. Currently available estimates of DDI incidences vary widely depending on the method of defining and finding potential DDIs and the method of defining the population assessed. Published studies have reported proportions of potential DDIs ranging from 2.2% to 30% in hospitalized patients and from 9.2% to 70.3% in ambulatory patients (1-3).
A DDI can be defined as a pharmacological or clinical response to the administration of a drug combination, different from that of anticipated one from the known effects of the two agents when given alone. The clinical result of a DDI may be manifested as antagonism, synergism, or idiosyncratic (4).
The consequences of mistakes and drug errors such as drug interactions affect millions of patients every year and contribute to 5% of patient admissions into hospitals (5-8). These medical errors also increase the patients› expenses, which ultimately affects the whole society (9).
There is little knowledge in terms of the epidemiology of DDIs on the clinical level and most evidence and documentations on this come from case reports, voluntary studies and/or through reports from DDIs detected in admitted hospital patients (10-16).
The treatment of a disease usually requires the use of more than one drug. When patients have multiple symptoms, it becomes necessary to prescribe a number of drugs. In this case, physicians must consider the possibility of DDIs. DDIs mostly occur among drugs with a low therapeutic index having a small difference between their therapeutic and toxic or lethal dose. This means, with the slightest change in the dosage of a drug, it can produce dangerous and harmful effects. The severity of illness in the patient being treated is also another predisposing factor to DDIs, such that treating cardiovascular, collagen vascular, and infectious disease and psychiatric disorders have the greatest potential for dangerous drug interactions.
Drug interactions are one of the most important drug mistakes known and are only predictable and preventable by revision of previous documentations, reports, and clinical studies (8). However, most physicians are unaware of major and clinically important drug interactions (17-21); thus, equipping physicians› clinics with a computerized physician order entry (CPOE) system can warn physicians of impending drug interactions, and should this system be further supervised by pharmacologists, especially focusing on DDIs, this, to a large extent will reduce possible complications and consequences (20, 22, 23).

Experimental

This study was performed using Pardazesh Nosakh, a prescription processing software program, provided by the National Committee of Rational Drug Use. This program was developed for the DOS operating system and Novell Network in 1998. After a pilot run in the Medical University of Mashhad, the application was published for all Iranian Medical universities.
In this cross-sectional study, all data from March 21, 2007 to December 21, 2009 were analyzed. Data of the physicians› prescriptions were collected from 33 different medical science universities nationwide. Available data on prescriptions included physician identification, name, strength, and quantity of the medications dispensed. Due to the greater clinical importance of major DDIs, moderate and minor DDIs were not considered in this study.
From March 21, 2007 to March 20, 2008, 28, 956, 638 prescriptions were gathered. The number of prescriptions from March 21, 2008 to December 20, 2009 (in the spring, summer, and autumn) was 15, 610, 912. After processing and analyzing all of the prescriptions, the total occurrence of DDIs made by all physicians was determined and separated according to general practitioners and medical specialists. Data were from 14 different medical specialists consisting of internists, cardiologists, neurologists, psychiatrists, neurosurgeons, general surgeons, infectious diseases, urologists, dermatologists, ENT, ophthalmologists, orthopedists, and pediatrician. The results were then analyzed by methods that were applied in the book Drug Interaction Facts (DIF) (24). DIF rated DDIs in a five-item summary measure based on the severity and corresponding documentation (probable, suspected, possible, and unlikely) for each drug interaction.

Results and Discussion

This study analyzed 28,956,638 prescriptions from March 21, 2007 to March 20, 2008 and 15, 610, 912 prescriptions from March 21, 2008 to December 20, 2009 from 33 different medical universities in Iran (Tables 1 and 3).
Table 1
Result of processing and analyzing the total prescriptions
2008-2009
2007-2008
NP%SINP%MITotal NPNP%SINP%MITotal NP
110,8370.71140,4980.9015,610,912194,0090.67222,9660.7728,956,638All of physicians
11,9909.011 2,6819.53133,04725,5267.3027,0447.74349,496Cardiologist
600.04800.06137,9471640.062170.07297,314Dermatologist
3910.175380.24228,4556630.128530.15570,150ENT
77,9050.6997,4800.8611,282,948116,0670.50149,5990.7420,292,902General practitioners
6390.328330.42198,3651,8190.362,2940.46499,681General surgeon
1,2910.151,3980.17845,843950.0711800.081,450,666Gynecologist
9480.731,1110.86129,2571,9010.7421490.83257,951Infectious disease
38,9171.1653,4811.734,327,96466,7660.9685,2731.308,663,736All of medical specialists
16,7952.1619,7612.54777,71024,2951.8228,6342.141,338,054Internist
2,9281.436,2033.04204,2263,0600.864,7061.29365,579Neurologist
3470.336140.59104,4293880.198040.39206,481Neurosurgeon
1290.051650.07137,9473950.074600.09535,621Ophthalmologist
3280.124920.18270,9335700.117680.15500,391Orthopedist
8150.111,0110.13774,8071,8620.112,1580.131,695,170Pediatrist
1,8661.334,1592.97139,9704,0681.208,5712.53338,411Psychiatrist
3900.304,4353.42129,7551,0050.395,4352.10258,771Urologist
A total of 20, 292, 902 prescriptions in 2007- 2008 and 11, 282, 948 prescriptions in 2008-2009 belonged to general practitioners and 8, 663,736 prescriptions in 2007-2008 and 4, 327, 964 prescriptions in 2008-2009 belonged to medical specialists. The percentage of interactions with significant clinical importance was higher in prescriptions of medical specialists and of those, cardiologists and internists ranked top on the list, while dermatologists ranked the lowest. The mean items per prescriptions (MIP) and percentage of prescriptions with more than four items per prescriptions (% > 4IP) are shown in Table 2. MIP and % > 4IP were highest in the cardiologists, general practitioners, internists and infectious disease specialists in 2007-2008, while MIP and % > 4IP were highest among cardiologists, infectious disease specialists, internists, and neurologists in 2008-2009.
Table 2
The mean items per prescriptions (M.I.P) and the percentage of prescriptions with more than four items per prescriptions (> 4IP) from -March 21, 2007 to -December 20, 2009
2008-2009
2007-2008
% > 4IPM.I.P% > 4IPM.I.P
213.26193.26All of physicians
373.67313.67Cardiologist
32.0642.13Dermatologist
132.89102.96ENT
243.41213.41General practitioners
122.76112.85General surgeon
72.5052.43Gynecologist
253.42153.12Infectious disease
152.91112.83All of medical specialists
263.41193.23Internist
253.35132.93Neurologist
82.7182.87Neurosurgeon
132.8922.22Ophthalmologist
112.8172.67Orthopedist
152.98112.94Pediatrist
152.88143.03Psychiatrist
82.3572.50Urologist
The percentage of prescriptions with rapid onset interactions was highest among cardiologists. In contrast, the percentage of prescriptions with delayed onset interactions was the highest with psychiatrists in 2007-2008 and the highest in the neurologists in 2008-2009 (Table 3). The list of medications in Table 4 indicated that digoxin and diuretics were commonly associated with DDIs. The most common interacting combination prescribed was digoxin and furosmide in 2007-2008, and captopril and triamteren in 2008-2009 (Tables 5 and 7).
Table 3
Evaluation of prescriptions (Rapid and Delayed Onset in DDIS).
2008-2009
2007-2008
no*%Delayedno*%Rapidno*%Delayedno*%RapidAll of physicians
1,405,4818.8498,1202.542,385,6907.51734,6012.16
45,62934.314,41710.84101,33128.9932,8229.39Cardiologist
1,38211050.082,8700.974210.14Dermatologist
10,1814.461,1630.5119,8763.492,4350.43ENT
990,5028.78317,8472.821,527,8007.53499,9552.46General practitioners
13,5706.846,3003.1830,5586.129,3951.88General surgeon
18,7982.229,2321.0928,6101.9715,7311.08Gynecologist
16,00712.385,2334.0524,6229.556,1842.4Infectious disease
497,65216.09108,6372.74785,61412.57151,5022.06All of medical specialists
127,67916.4248,7446.27181,86113.5947,4713.55Internist
119,34558.4411,1285.45117,73932.219,0172.47Neurologist
16,86616.159880.9533,21416.092,3781.15Neurosurgeon
8,6003.44970.215,1652.831,1830.22Ophthalmologist
16,7666.198720.3214,2842.851,5470.31Orthopedist
18,3592.373,0370.3936,1652.136,7330.4Pediatrist
70,52450.394,2883.06155,78046.039,8242.9Psychiatrist
13,94610.752,6332.0323,5399.106,3612.46Urologist
Table 4
Short list of common interacting medications
Digoxin
Diuretics
HMG CoA reductase Inhibitors
Allopurinol
ACE Is
Warfarin
Gemfibrozil
Haloperidol
Amiodarone
Clonidine
Table 5
Top of 10 DDIs pairs by incidence per 100 prescriptions from March 21, 2007 to march 20, 2009.
Drug 2Drug 1%no*
DigoxinFurosmide0.1174,084
CaptoprilTriamterene-H0.0967,619
GemfibrozilAtrovastatin0.0865,103
HaloperidolPropranolol0.0426,789
AmitriptylineClonidine0.0320,666
DoxycyclinePenicilline G0.018,526
ChlorpromazinePropranolol0.018,049
PropranololVerapamil0.0096,904
AmiodaronDigoxin0.0086,417
AzithromycineAtrovastatin0.0075,727
Table 6
Abundance of drug categories in the drug interactions
%Incidence per total of prescriptionsdrug categories
85Cardiovascular
74Anti hypertensive
24.78ACEI s
34.44Antiarrhythmic
22.63Digitalis
30.08CNS drugs
4Diuretics
1Macrolides
1Tetracyclins
1Penicillins
Table 7
The results of investigation of major DDIS from march 21, 2007 to December 20, 2009
DocumentationTotal of prescriptionsno 2*no 1*OnsetSignificanceSeverityDrug 2Drug 1
probable74,08429,90144,183Delayed1MajorFurosemideDigoxin
probable64,06324,40639,657Delayed1MajorTriamtereneCaptopril
suspected65,08329,54335,540Delayed1MajorAtorvastatinGemfibrozil
probable59,64027,96231,678Delayed1MajorTriamtereneEnalapril
possible39,49714,65024,847Rapid4MajorCodeineCimetidine
suspected38,07514,36923,706Delayed1MajorLovastatinGemfibrozil
possible26,78911,67915,110Rapid4MajorPropranololHaloperidol
unlikely25,20511,19814,007Delayed5MajorHydrochlorothiazideAllopurinol
probable21,7067,91913,787Delayed1MajorSpironolactoneCaptopril
probable20,6669,04011,626Rapid1MajorClonidineAmitriptyline
probable11,5864,7036,883Delayed1MajorHydrochlorothiazideDigoxin
possible9,7563,7296,027Rapid4MajorFluoxetineMetoclopramide
suspected8,5262,9065,620Delayed1MajorPenicillin GDoxycycline
probable8,3263,2375,089Delayed1MajorSpironolactoneEnalapril
probable8,0493,0085,041Delayed1MajorPropranololChlorpromazine
suspected7,3652,6214,744Delayed1MajorSimvastatinGemfibrozil
probable6,9042,5094,395Rapid1MajorVerapamilPropranolol
probable6,4172,3724,045Delayed1MajorDigoxinAmiodarone
probable7,8184,0043,814Delayed1MajorAtorvastatinAzithromycin
suspected5,9912,3963,595Delayed1MajorNortriptylineCisapride
suspected6,7173,4883,229Delayed1MajorSulfasalazineMethotrexate
possible4,6511,5483,103Rapid4MajorTrazodoneFluoxetine
suspected4,5961,6562,940Delayed2MajorWarfarinPenicillin G
possible4,2191,4272,792Delayed4MajorCaptoprilAllopurinol
probable4,6201,9132,707Delayed1MajorLovastatinAzithromycin
probable4,1071,4482,659Rapid1MajorVerapamilAtenolol
possible5,3952,7642,631Rapid4MajorOmeprazoleMethotrexate
suspected7,2664,9292,237Delayed1MajorNaproxenMethotrexate
suspected3,3521,2392,113Delayed1MajorTrifluoperazineCisapride
suspected3,5101,4102,100Delayed1MajorPropranololClonidine
established3,4711,4502,021Delayed1MajorWarfarinAspirin
Our findings also revealed the most alarming DDIs in prescriptions from March 21, 2007 to December 20, 2009 with significant clinical importance by incidence per 100 prescriptions as shown in Table 5.
The study of DDIs in the present population showed that the highest DDIs with clinical importance were the antihypertensive drugs such as beta blockers, calcium channel blockers followed by ACE-Is (Table 6).
Based on these results, the increase in DDIs in the prescriptions occurs when number of items per prescription increased, which led to a rise in the index of DDIs with clinical significance.
This study revealed that with the increase of percentage in prescriptions with more than four items per prescription in the years 2008-2009, as compared to 2007-2008 (Figure 1), significant major DDIs in the prescriptions of all physicians, general practitioners, and medical specialists in 14 different fields significantly increased. (Figure 2) This was clearly visible in the prescriptions of cardiologists, internists, General practitioners, infectious disease specialists and neurologists who had a greater number of items per prescription.
The percentage of prescriptions with more than four items per prescription in the years 2008-2009 as compared to 2007-2008
Figure 1
The percentage of prescriptions with more than four items per prescription in the years 2008-2009 as compared to 2007-2008
Major drug interactions in the prescriptions of all physicians in the years 2008-2009 as compared to 2007-2008
Figure 2
Major drug interactions in the prescriptions of all physicians in the years 2008-2009 as compared to 2007-2008
Polypharmacy is an important factor which leads to DDIs; however, the more the number of items per prescriptions, the more the likelihood of DDI’s occurance. Straubhaar et al. (25) reported in a study at the University Hospital Basel that hospitalization of patients with heart failure resulted in an increase in the number of drugs prescribed per patient and, thereby, also in the number of potentially interacting drug combinations per patient. During the hospital stay, close medical monitoring combined with continuous nursing and therapeutic care is generally guaranteed, but this may profoundly change after discharge. The elderly generally have several concurrent diseases (26) and consequently, the number of drugs used to treat them is greater, and the greater the number of drugs, the higher the possibility of DDIs. Malone et al. (27), using the prescription database of a North American insurance company with 46 million clients, carried out a retrospective study of the prevalence of 25 clinically relevant interactions. They found that their clients of 70 years or more made up to 7.1% of the total population, but they suffered from 44.8% of all DDIs.
In three past studies on primary care, the rates of potential DDIs for patients receiving two or more drugs were 24.3%, 29.5%, and 42.0%, respectively (28, 39). Another study reported 2.2% of prescriptions with adverse interacting drugs in relation to all prescriptions (30, 31).
In another study, all drug pairs concurrently prescribed to 9481 adults aged 50 to 75 years were evaluated in a health-screening examination. More than 52% of the patients received a combination therapy of drug pairs and 881 (6.4%) were identified as interacting. Of these 881 interactions, 132 (15.0%) were of major severity and 101 of 132 (76.5%) were considered manageable. Only 31 (23.5%) of 132 major interactions (3.5% of all interacting pairs) offered no management options and should thus have been avoided (32). The results of this study and past studies, especially on DDIs in Iran when compared to the present, showed that its percentage is rising and continues to pose problems (33-36).
In primary health care, 9-70% of patients are reported to be exposed to drugs with the risk of a drug interaction, with 1-23% of major significance (37-42). A French study reports an incidence of 27 per 10,000 prescriptions with contraindicated DDIs in an ambulatory outpatient population (43). During hospital admission, the number of DDIs per patient increased with potential clinically relevant DDIs occurring in 1 out of 70 prescriptions (44-47). In another study, 22 potential DDIs of clinical relevance and 65 of ‘possible’ clinical relevance per 100 outpatients per year were recorded. Reported incidences in outpatients ranged from 9.2% to 70.3% for DDIs of any severity and from 1.2% to 23.3% for those considered of major significance (31, 1, 48-51).
In addition, Chen et al. (52) found an incidence of 1.9 per 1000 patient (95% confidence interval 1.5, 2.3) of prescribed potentially hazardous/contraindicated DDIs. They identified multiple possible causes (e.g., lack of knowledge of the DDIs or of the patient medication history) and system failures (e.g., incomplete medication records, lack of communication between primary and secondary care or between the prescriber and the patient) for the dispensing of contraindicated drug combinations.
Unfortunately, there are little supportive data on the incidence of potential DDIs in other large ambulatory populations. Few published studies have determined such errors exclusively, with most aggregating various types of potential medication errors.
Quite frequently, the determination of medication errors found in studies has been part of a planned intervention that might include medication selection or dosage assessment (53-55), laboratory monitoring (54-56), or inappropriate prescribing (56, 59). Moreover, most studies on medication errors have involved interventions in hospitalized or with institutionalized patients, but not with outpatients (54, 56, 60-64). In the year 1988, Dumbro et al. (28) reported that out of the total number of DDIs they had discovered, 17% were of great significance, while in our study, we found major DDIs with significant clinical importance as shown in Table 2. Comparing general practitioners and medical specialists, it is evident that from March 21, 2007 to December 20, 2009, more alarming DDIs were found in the prescriptions of medical specialists (Figure 3). The same observation was made when we compared the prescriptions resulting in major DDIs of clinical importance (Figure 4). It seems that medical specialists deal more with potent drugs with a low therapeutic index that might be a cause of more DDIs in their prescriptions.
Major drug interactions with significant clinical importance in the prescriptions of general and specialist practitioners
Figure 3
Major drug interactions with significant clinical importance in the prescriptions of general and specialist practitioners
Major drug interactions with significant clinical importance in the prescriptions of all physicians in the years 2008-2009 as compared to 2007-2008
Figure 4
Major drug interactions with significant clinical importance in the prescriptions of all physicians in the years 2008-2009 as compared to 2007-2008
Abundance of drug categories in the DDIs
Figure 5
Abundance of drug categories in the DDIs
The results of our study also revealed that the most common drugs associated with major interactions of significant clinical importance were those prescribed by cardiologists. Previous studies have also shown that prescriptions of cardiologists had the highest rate of DDIs (65). With regard to the interactions detected, other studies without intervention by pharmacists found more DDIs in the fields of cardiology (27.9%), hematology (23.4%), neurology (2.7%), psychiatry (5.3%), and gastroenterology (5.1%). In addition, 151 DDIs were detected during the three-month follow-up period. The interactions found most frequently were: digoxin-furosemide, furosemid-corticoid, AAS-low molecular weight heparin, amiodarone-furosemide, omeprazole-diazepam, phenytoin-corticoid and AAS-oral antidiabetics (65, 66), while in our study, we found that the most common interacting combination prescribed were: digoxin-furosmide, captopril-plustriamteren, gemfibrozil-atorvastatin, enalapril-triamteren, cimetidine-codeine, gemfibrozil-lovastatin, and haloperidol-propranolol.
Shivo et al. (67) in the year 2000 carried out a study in Finland that showed harmful interactions between over the counter (OTC) drugs (especially NSAIDs and analgesics) and prescription drugs. This shows that DDIs do not solely occur with prescription drugs, but food and other OTC drugs purchased and consumed by patients also play a role and could sometimes be responsible for treatment failure.

Conclusions

Potential drug interactions are frequent among outpatients prescribed multiple medications and the rate is directly related to the number of drugs prescribed. It is our opinion that physicians must pay closer attention to DDIs, especially cardiovascular, antihypertensive, ACEIs, antiarrhythmic, digitalis, and CNS drugs and diuretics and the DDIs between OTC drugs and prescription drugs, especially in terms of side effects and the economic burden that they may produce. Moreover, adhering to the correct policies of writing prescriptions, being up-to-date on drug information, and participating in related educational classes and workshops by physicians, may significantly increase the chances of the appropriate drug being selected for treatment and hence quicker patient recovery .

Acknowledgments

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© 2011 by School of Pharmacy, Shaheed Beheshti University of Medical Sciences and Health Services. This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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