JCDR - Register at Journal of Clinical and Diagnostic Research
Journal of Clinical and Diagnostic Research, ISSN - 0973 - 709X
Pharmacology Section DOI : 10.7860/JCDR/2019/36921.12941
Year : 2019 | Month : Jun | Volume : 13 | Issue : 06 Full Version Page : FC11 - FC14

A Prospective Study on Assessment of Rationality in Prescribing Antimicrobial Agents at a Tertiary Care Hospital

KLK Sneha1, Malladhi Sai Gayatri2, K Vinay3, A Rajendra Prasad4, Yuva Sri Sai5

1 Pharm D, Nirmala College of Pharmacy, Mangalagiri, Andhra Pradesh, India.
2 Pharm D, Nirmala College of Pharmacy, Mangalagiri, Andhra Pradesh, India.
3 Pharm D, Nirmala College of Pharmacy, Mangalagiri, Andhra Pradesh, India.
4 Professor and Head, Department of Pharmacy Practice, Nirmala College of Pharmacy, Mangalagiri, Andhra Pradesh, India.
5 Assistant Professor, Department of Pharmacy Practice, Nirmala College of Pharmacy, Mangalagiri, Andhra Pradesh, India.


NAME, ADDRESS, E-MAIL ID OF THE CORRESPONDING AUTHOR: Ms. KLK Sneha, Nirmala College of Pharmacy, Atmakuru (v), Guntur district, Mangalagiri, Andhra Pradesh, India.
E-mail: krishna.sneha2@gmail.com
Abstract

Introduction

Antimicrobial Agents (AMAs) rationality has become the most prevalent issue world wide as the irrational prescribing is leading to antimicrobial resistance. So, reporting interventions and identification of drug related problems, may help in avoidance or control or prevention the antimicrobial resistance.

Aim

To assess rationality in usage of AMAs in both infectious and non infectious conditions at a tertiary care hospital using ICMR guidelines, National Treatment Guidelines for Antimicrobial Use in Infectious Diseases, PCNE guidelines.

Materials and Methods

A prospective observational study was carried out at inpatient department in a tertiary care hospital. The data of 260 cases were collected and recorded during regular ward rounds and were thoroughly analysed to evaluate inappropriateness in drug usage by ICMR guidelines, WHO-INRUD drug core indicators, Pharmaceutical Care Network Europe (PCNE) guidelines and Essential Drug List (EDL). Data analysed also included the results on patient’s demographics (age, gender, type of AMAs etc.,). Errors obtained were reported to physician. Data analysis was performed using descriptive analysis.

Results

The findings of the study reveals that the average age of high incidence with AMAs was found to be 55.5 years, where male population were majority with 52% and female with 48% of AMAs prescriptions. Non infectious conditions (56.5%) were more than the infectious conditions (43.4%). Among 487 drugs prescribed in 260 prescriptions majority of them were antibiotic drugs (480), followed by antifungal drugs (6) and antiviral drug (1). The most commonly prescribed category of antibiotic was cephalosporins with 100 drugs (22.5%), along with fixed dose combinations of 162 drugs (33.2%). More number of prescriptions were found with two antibiotics (104). Among all prescriptions 46 were found to be irrational and 214 prescriptions were rational, the irrationality was found mostly due to drug interactions. At the end of the study six types of drug related problems were identified in 46 prescriptions such as wrong drug (2), wrong dose (14), wrong frequency (5), drug interactions (28), therapeutic duplication (5), wrong indication (7). According to WHO INRUD guidelines average number of antibiotics per prescription was 1.87, percentage of antibiotics prescribed by generic name was 36.34%, percentage of encounters with an antibiotic prescribed was 100%, percentage of encounters with an injection prescribed was 73.26%, percentage antibiotics prescribed from EDL was 30.7%. Length of stay of 52% patients having AMAs in their prescription was more than five days, where as 19% of patients were admitted for less than five days. The average cost of antibiotics per prescription was found to be Rs 3800, whereas the equivalent antibiotics with different brands the cost was Rs.1282.04.

Conclusion

At the end of the study six types of drug related problems were identified in 46 prescriptions such as wrong drug, wrong dose, wrong frequency, therapeutic duplication, wrong indication, drug interactions, which lead to irrational prescriptions. Hence, there is a necessity of clinical pharmacist in hospital for minimising errors, thereby preventing the development of resistance towards antibiotics and reducing the prescription cost.

Keywords

Introduction

An Anti Microbial Agent (AMA) is an agent that kills or stops the growth of microorganisms. This category of drugs are most widely used. So, it is necessary to assess the rationality in antibiotic prescription based on standard guidelines to prevent antimicrobial resistance. Rational use of antibiotics is important, as antibiotic resistance is not only a problem for the individual patient but also reduces effectiveness of established treatment.

Inappropriate antibiotic use has become a serious public health concern all over the world and is a major determinant of the development of resistance. This limits the available treatment options. So, appropriate antibiotic use is a public health priority and fortunately some countries have also taken up the issue seriously [1].

The present study is novel in assessing the rationality of prescription based on the standard guidelines such as ICMR, National treatment guidelines for AMAs in infectious conditions and Essential Drug List (EDL). Guidelines will help physicians to prescribe rationally and to choose the best effective, most appropriate empiric antibiotic for the patient. To check adherence towards guidelines, an audit of prescription or drug utilisation studies are needed to be done [2].

In view of this, it was proposed to study the utilisation patterns of AMAs and rationality of their use in the hospital that would help to: (a) determine the most commonly prescribed AMAs in the hospital; (b) identify various drug related problems; (c) calculate average costs of AMAs. Identified drug related problems were classified using PCNE classification of drug related problems, which were set very recently based on practicality for empirical use of antibiotics.

Materials and Methods

The protocol for the proposed prospective study was submitted to the Institutional Ethics Committee (IEC) with Reference number: PD003/IRB/NRML/17-18. The protocol was approved by the IEC. The study was conducted from August 2017-January 2018 in medical wards of a tertiary care hospital, with 350 bed capacity. Patients of all age groups and of either sex were admitted to the hospital during the study period were included in the study. Outpatients and pregnant women were excluded from the study.

Study material: All the necessary and relevant data were collected during clinical rounds in consultation with the treating physician.

Study Procedure

Data Collection

Regular ward rounds were carried out in the various departments during the study period and all the necessary information from the case sheets of patients were collected using a data collection form, which included patient name, age, sex, inpatient/hospital number, height, weight, date of admission, date of discharge, chief complaints on admission, past medical and medication history, social and family history, laboratory reports, final diagnosis, daily progress notes, drugs prescribed with name of the medication, dose, route of administration, frequency, duration of the treatment and discharge summary. A total of 260 cases were collected during the study period.

Data Analysis

The data was evaluated by using ICMR guidelines which were given by Department of Health Research, New Delhi, India, 2017 with the instructions to use AMAs [3]. National treatment guidelines for AMAs in infectious conditions were given by National Centre for Disease Control, Directorate General and Health Services, Ministry of Health and Family Welfare, Government of India, in 2016 with the empirical therapy for all the infectious conditions EDL was given by WHO as a limit for use of drugs in different dosage forms [4].

The collected data was also evaluated using PCNE classification V.8.01 for Drug Related Problems (DRP’s) for the use of the PCNE classification it is important to separate the real (or potential) problem (that affects or is going to affect the outcome) from its cause(s) [5].

The collected data from the prescriptions were thoroughly analysed and screened for possible drug-drug interactions using the Lexicomp (Uptodate software), Medscape and Drugs.com interaction checkers. The interactions were categorised based on their severity into three types like Major, Moderate and Minor drug interactions.

Pharmacist Interventions

The identified drug related problems were discussed with consultant and necessary pharmacist interventions were proposed after a peer review of text books and other academic sources and these identified problems were orally reported to the physician.

Results

The average age of patients in the study was 55.5 years. Majority of the patients were male (134,52%) with AMAs in their prescriptions. Non infectious conditions (147,56.5%) were more than the infectious conditions (113,43.4%). Among 487 drugs prescribed in 260 prescriptions, majority of them were antibiotic drugs (480), followed by antifungal drugs (6) and antiviral drug (1). The most commonly prescribed category of antibiotic was cephalosporins with 100 drugs (22.5%), along with fixed dose combinations of 162 drugs (33.2%) [Table/Fig-1].

Prescribing prevalence of various AMAs.

Name of AMAsNumber
Meropenam9
Metronidazole21
Teicoplanin2
Ofloxacin4
Rifamixin15
Cefuroxime24
Cefoperazone+Sulbactum83
Levofloxacin28
Cefotaxime3
Ceftriaxone32
Amikacin35
Linezolid11
Clindamycin6
Ertapenem18
Amoxicillin+Clavulanic acid17
Doxycycline22
Piperacillin+Tazobactum47
Clarithromycin11
Cefepime17
Cefuroxime+Clavulanic acid2
Streptomycin1
Isoniazid+Rifampicin+Ethambutol+Pyrazinamide4
Pyrazinamide3
Cefpodoxime3
Fluconazole6
Sulfamethoxazole+Trimethoprim3
Azithromycin15
Ciprofloxacin6
Ceftazidime2
Ceftriaxone+Tazobactum1
Ciprofloxacin+Tinidazole2
Cefexime17
Moxifloxacin4
Vancomycin1
Beclometasone+Clotrimazole+Neomycin2
Tigecycline3
Norfloxacin2
Acyclovir1
Ampicillin+Sulbactum1
Ethambutol1
Cefadroxil1
Ceftizoxime1

A total of 46 prescriptions were found to be irrational and 214 prescriptions were rational, the irrationality was found mostly due to drug interactions. At the end of the study 6 types of drug related problems were identified in 46 prescriptions such as wrong drug (2), wrong dose (14), wrong frequency (5), therapeutic duplication (5), wrong indication (7), drug interactions (28), according to PCNE Classification of drug related problems [Table/Fig-2,3,4,5,6,7 and 8].

PCNE classification scheme for drug-related problems.

CodePrimary domainsPrescriptions
C1.11. Drug selectionThe cause of the (potential) DRP is related to the selection of the drugInappropriate drug according to guidelines/formulary2
C1.2Inappropriate drug (within guidelines but otherwise contra-indicated)7
C1.3No indication for drug---
C1.4Inappropriate combination of drugs or drugs and herbal medication---
C1.5Inappropriate duplication of therapeutic group or active ingredient5
C1.6No drug treatment in spite of existing indication---
C1.7Too many drugs prescribed for indication---
C2.12. Drug formThe cause of the DRP is related to the selection of the drug formInappropriate drug form (for this patient)---
C3.13. Dose selectionThe cause of the DRP is related to the selection of the dose or dosageDrug dose too low11
C3.2Drug dose too high3
C3.3Dosage regimen not frequent enough3
C3.4Dosage regimen too frequent2
C4.1Duration of treatment too short---
C4.2Duration of treatment too long---

C1.1 Inappropriate drug.

DiseaseDosage/frequency in prescriptionRecommended dosage/frequency
CellulitisInj.Invanz/1 gm/ODInj.Ceftrioxone/2 gm/OD(Or) Inj.Cefazolin/2 gm/QID
CellulitisInj.Zosyn/4.5 gm/TIDInj.Ceftrioxone/2 gm/OD(Or) Inj.Cefazolin/2 gm/QID

C3.1 and C3.2 Inappropriate dosage.

ConditionDrugDose givenDose requiredNo. of prescriptions
Knee arthritisInj.Cegava1.5 g BD3 g BD2
Necrotising pancreatitisInj.Invanz1 g OD3 g TID1
PneumoniaInj.Magnex1.5 g BD3 g BD2
PyleonephritisInj.Zosyn2.25 g TID4.5 g QID2
OsteoarthritisInj.Cegava1.5 g BD3 g BD1
CLDInj.Piptaz2 g TID4.5 g TID3
Dengue shock syndromeInj.Piptaz3 g TID4.5 g TID1
CKD IVT.Augementin625 mg BD250-500 mg OD1
Acute pyleonephritisInj.Piptaz4.5 g TID2.25 g TID1

C3.3 and C3.4 Inappropriate dosage regimen.

ConditionName of drugDose/Frequency givenDose/Frequency required
COPDAzithromycin500 mg/BD500 mg/OD
Para thyroid disorderinj.Azithral500 mg/BD500 mg/OD
CKDinj.piptaz2.25 g/BD2.25 g/TID
Recurrent cholangitisinj.piptaz4.5 g/TID4.5 g/QID
Gangreneinj.piptaz2.25 g/TID2.25 g/QID

C1.2 Inappropriate drug (within guidelines but otherwise contra-indicated.

DiagnosisDrugDoseFrequency
Acute pancreatitisInj.piptaz4.5 gTID
Acute pancreatitisInj.MonocefInj.piptaz1 g4.5 gBDTID
Acute pancreatitisInj.piptaz4.5 gTID
Acute pancreatitisInj.cefepime1 gBD
Acute pancreatitisInj.doxycycline100 mgTID
Acute pancreatitisInj.piptaz4.5 gTID
Acute pancreatitisInj.Cefepime1 gBD

C1.5 Inappropriate duplication of therapeutic group or active ingredient.

DiagnosisDrugDoseFrequencyDuration
Right pneumothoraxInj.Monocef1 gBDD1-D2
Inj.Zosyn2.25 gOIDD1-D2
Gangrene Rt. toeT.Clarithromycin500 mgBDD1-D3
Inj.Ertapenem1 gODD1-D6
Inj.Linezolid600 mgBDD1
T.fluconazole200 mgBDD1-D10
T.Augmentin625 mgBDD6
T.Septran-DS1 tabBDD6-D10
Cervical Spondylitis, polyarthritisInj.Monocef2 gBDD1-D5
Inj.Magnex forte1.5 gBDD1-D5
Drug induced hepatitisInj.Magnex forte1.5 gBDD1-D3
T.Linezolid600 mgBDD1-D7
T.Fluconazole150 mgODD1-D5
Inj.Meropenem1 gTIDD2-D5
AKIInj.Magnex forte2 gBDD1-D3
Inj.ceftriaxone1 gBDD1-D7

Irrational use of AMAs.

DescriptionNumber
Drug2
Dose14
Interactions28
Frequency5
Therapeutic duplication5
Indication7

According to WHO-INRUD guidelines, average number of antibiotics per prescription was 1.87, percentage of antibiotics prescribed by generic name was 36.34%, percentage of encounters with an antibiotic prescribed was 100%, percentage of encounters with an injection prescribed was 73.26%, percentage antibiotics prescribed from EDL was 30.7% [Table/Fig-9].

WHO-INRUD Core drug use indicators.

Prescribing indicatorsNumber
Average number of antibiotics per prescription1.87
Percentage of antibiotics prescribed by generic name36.34
Percentage of encounters with an antibiotic prescribed100
Percentage of encounters with an injection prescribed73.26
Percentage antibiotics prescribed from EDL30.7

Among 260 prescriptions, 28 drug interactions within antibiotics were encountered, where majority of them were found to be moderate (19) followed by minor (7) and (2) major type of drug interactions.

A total of 135 patients (52%) having AMAs in their prescription were hospitalised for more than five days, where as 19% of patients were admitted for less than five days. The average cost of antibiotics per prescription was found to be Rs 3800, whereas the equivalent antibiotics with different available brands, the cost was found to be Rs.1282.04.

Discussion

The rational use of AMAs is one of the main contributors to control worldwide emergence of antibacterial resistance, side effects and reduced cost of the treatment.

According to WHO, rational use of drugs requires that “patient receive medications appropriate to their clinical needs, in doses that meet their own individual requirements, for an adequate period of time, and at the lowest cost to them and their community”. It is necessary to assess the rationality in prescribing antibiotics to prevent development of resistance. Although antibiotics are essential for treating bacterial infections, extensive use promote resistance and transmission of nosocomial infections which effects their length of stay in hospital [6]. The present study is novel in assessing the rationality of prescription based on the standard guidelines such as ICMR, National treatment guidelines for AMAs in infectious conditions and EDL. Identified drug related problems were classified using PCNE classification of drug related problems, which were set very recently based on practicality for empirical use of antibiotics.

Upon evaluation of 260 prescriptions, 46 prescriptions were found to be irrational which were classified by PCNE guidelines into wrong drug (2), wrong dose (14), drug interactions (28), wrong frequency (5), therapeutic duplication (5), wrong indication (7) which leads to the development of resistance. Drug interactions within prescribed antibiotics were found to be major type of drug related problems which decreases the efficacy of administered antibiotics. Prescribing prevalence was found as cephalosporins >Quinolones >Amino glycosides >Carbapenems >Macrolides >Tetracyclines similar to a study conducted by Gopal VD et al., [7]. Based on ICMR, National treatment guidelines for antimicrobial use in infectious diseases and WHO-INRUD core drug use indicators the results were found to be deviating, such as percentage of antibiotics prescribed by generic name is 36.34 which is less than half whilst the aim is for 100% prescribing by generic as generic medicines are less expensive than branded medicines. Percentage of antibiotics from EDL is 30.7 whilst aim is for 100% prescribing from EDL [8].

The average cost of AMAs per prescription was found to be Rs 3800, whereas for alternate AMAs the cost was Rs.1282.04, which would help in minimising the patient’s expenditure.

Limitation

This study was conducted on inpatients who were stable population whilst outpatients and pregnant women were excluded from the study. Rationality of prescription was assessed using standard guidelines while response towards administerd drug was not recorded. However, further studies are required to evaluate rationality in prescriptions in different perspectives such as outcome assessment and in depth study on drug interactions.

Conclusion

From the results of current study, irrationality in prescribing antibiotics was present in 46 prescriptions based on standard guidelines used in the study. At the end of the study six types of drug related problems were identified in 46 prescriptions such as wrong drug (2), wrong dose (14), wrong frequency (5), therapeutic duplication (5), wrong indication (7), drug interactions (28). Hence there is a necessity of clinical pharmacist in hospital for minimising errors, thereby preventing the development of resistance towards antibiotics and reducing the prescription cost.

References

[1]Xie DS, Xiang LL, Li R, Hu Q, Luo QQ, Xiong W, A multicenter point-prevalence survey of antibiotic use in 13 Chinese hospitals J Infect Public Health 2015 8(1):55-61.10.1016/j.jiph.2014.07.00125129448  [Google Scholar]  [CrossRef]  [PubMed]

[2]Anand N, Nagendra Nayak IM, Advaitha MV, Thaikattil NJ, Kantanayar KA, Anand S, Antimicrobial agents’ utilization and cost pattern in an Intensive Care Unit of a Teaching Hospital in South India Indian J Crit Care Med 2016 20(5):274-79.10.4103/0972-5229.18220027275075  [Google Scholar]  [CrossRef]  [PubMed]

[3]Treatment guidelines for antimicrobial use in common syndromes https://www.icmr.nic.in/sites/default/files/guidelines/treatment_guidelines_for_antimicrobial.pdf  [Google Scholar]

[4]Essential medicines-World health organization https://www.who.int/medicines/publications/essentialmedicines/20th_EML2017.pdf  [Google Scholar]

[5]PCNE Classification V 8.01 https://www.pcne.org/upload/files/215_PCNE_classification_V8-01.pdf  [Google Scholar]

[6]Ahlén KM, Örtqvist AK, Gong T, Wallas A, Weimin Ye, Lundholm C, Antibiotic treatment and length of hospital stay in relation to delivery mode and prematurity PLoS ONE 2016 11(10):e016412610.1371/journal.pone.016412627716779  [Google Scholar]  [CrossRef]  [PubMed]

[7]Gopal VD, Krishna RT, Kumar SA, Meda VS, Reddy RK, Prescribing pattern of antibiotics in the general medicine and pediatrics departments of a tertiary care teaching Hospital IJPS 2014 6(2):221-24.  [Google Scholar]

[8]Atif M, Muhammad RS, Azeem M, Assessment of WHO/INRUD core drug use indicators in two tertiary care hospitals of Bahawalpur, Punjab, Pakistan J Pharm Policy Pract 2016 9:2710.1186/s40545-016-0076-427688887  [Google Scholar]  [CrossRef]  [PubMed]