Indian Journal of Pharmacy and Pharmacology

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Indian Journal of Pharmacy and Pharmacology (IJPP) open access, peer-reviewed quarterly journal publishing since 2014 and is published under auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award programs. With more...

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Get Permission Iqbal, Kumar, and Barnwal: Medication error in geriatric population of an urban area and its relation with different factors influencing medication error


Introduction

Each one of us would agree that drug therapy plays a vital role in todays health care system. The complex nature of medication prescription and management of medication results in errors which can cause considerable morbidity and mortality for the patient population. Medication errors have been a matter of concern since the time we started using medicines. They can happen during different stages of medication use1 such as prescribing,2, 3 dispensing,4 order verification,5 administration or at the time of consumption of medication and even during the monitoring phase of medication use.

National Coordinating Council for Medication Error Reporting and Prevention defines medication error as any preventable event that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the health care professional ,patient or consumer. Such events may be related to professional practice, health care products procedures and systems, including prescribing order communication ,product labeling, packaging and nomenclature, compounding ,dispensing, distribution, administration, education, monitoring and use.6

Here it is important to understand that medication error is different from adverse drug events as medication error may not harm the patient but adverse drug events arise from incidents where medication use leads to actual harm to the patient.7 It would be very beneficial if we could estimate these errors and find out factors which could have an influence on these errors.8

But estimating these errors have always been difficult due to a number of factors like fear of being ridiculed if they bring these errors to notice of competent authorities and at times not realizing that an error has been committed by using medication in inappropriate dose, frequency or duration. Also most of the studies focus on errors of commission but neglect errors of omission which falsely leads to decrease in incidence of medication error.9

With increase in age number of disease increases which may lead to increase in number of doctors being consulted & can ultimately lead to increase in number of medication being consumed and these all together can result in increased chances of medication error.

Ethical Consideration

This research was conducted after obtaining clearance from Institutional Ethics Committee Of Mgm Medical College, Jamshedpur.(REG NO:ECR/1621/INST/JH/2021) vide reference number –IEC/31/22

A questionnaire was designed for data collection and Collected data was entered in MS excel sheets

Inclusion criteria

Age >65 yrs

Exclusion criteria

  1. History of mental retardation or dementia

  2. Poor vision

  3. Requiring palliative or hospice care

Plans and Goals

  1. Primary objective was to estimate the frequency of medication error.

  2. Secondary objective was to find out relation of different factors related to medication error.

This is a cross sectional study which was done in geriatric patients of age more than 65 years attending out patient departments of different doctors in an urban area of mango Jamshedpur. Initially a message with contact details of researcher and eligibility criteria of patients was circulated in whatsapp groups of different societies requesting for calling the researchers if they meet the eligibility criteria so that details can be collected after meeting the patients but a very poor turn up was there , hence we decided to conduct free health camps for geriatric patients and from there patients who fulfilled the inclusion criteria were selected for collection of data .

Sample size

It was calculated using the formulae

n = z2 p (1-p) /d2    

Where;

n = sample size

z = standard normal value of confidence interval of 95%, that was equal to 1.96

p = estimate of proportion with medication error 0.4

d = margin of sampling error tolerated i.e. precision taken as 0.1

Comes to around 92 19

In total 122 patients were seen of these 12 patients had poor vision even with correction , 5 had memory impairment, 2 were on chemotherapy and 3 did not consent for study , hence details from 100 patients were collected and entered in case record forms .

Analysis of Statistical Data

The data from case record forms were entered in MS excel and analysed using Epi Info software. The quantitative variables were analysed as frequency. Association between variables was analysed using chi square test. P value <0.05 was considered as significant.

Results and Discussion

Figure 1

Gender distribution-There were 58 percent Males and 42 percent females enrolled in this study

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Figure 2

Frequency of medication error-In total 53 percent patients faced medication error

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Figure 3

Medication error according to gender-Medication error was seen in 62 percent males and 40 percent females p value 0.053

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Figure 4

Medicationerror according to age distribution

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Medication error increased as the age of patients increased In age group 66-70 it was 31%, in 71-75 it was 47%,in 76-80 it was 56% and in age group 81-85 it was 94%.when the data was analysed according to age group 66-75 and 76-85 years the corrected p value was 0.0008

Figure 5

Medication error according to the number of different chronic health condition patient is suffering from

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Medication error was just 11 and 12 percent if the patient had only 1 and 2 chronic health conditions respectively but it increased dramatically to 97 and 100 percent if the patient had 3 or more than 3 health conditions.

Figure 6

Medication error according to the number of medicine patient is using regularly- as the number of medication increased percent of medication error increased .If the number of medication was 0 or 1 the percentage of medication error was just 6% and 7.6 % respectively but when the number of medication increased to 2 and 3 or more the percentage increased to 93 and 95 percent respectively.

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Figure 7

Medication error according to the number of doctor patient is visiting regularly –No proper relation could be established between number of different doctor visits and medication error

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Figure 8

Medication error if the doctor is explaining medicines-It was found that frequency of medication error decreased if the doctors were explaining medication to their patients and vice versa

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Figure 9

Medication error if the pharmacist is explaining medicines It was found that frequency of medication error decreased if the pharmacist were explaining medication to their patients and vice versa.

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Figure 10

Does the patient takes medication themselves or needs assisstance-It was found that frequency of medication error was less in patients who took medication themselves rather than those who needed assistance, P value more than 0.05 hence this factor is not significant

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Figure 11

Difficulty in reading labels-It was found that frequency of medication error was higher in patients who faced difficulty in reading labels but overall p value was more than 0.05

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Figure 12

Medication error if the patient could identify medicine according to the health condition they are intended for-It was found that frequency of medication error was less if patients could identify the medication according to the health condition they were intended for

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Figure 13

Stock of medication-No proper relation could be established with the stock of medication with patient and medication error p value 0.16

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Figure 14

Do you take medication without prescription- It was found that frequency of medication error was higher in those patients who took medication without prescription

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Figure 15

Mediction error in relation to educational status- It was found that frequency of medication error was higher in those patients who had higher educational qualification P value less than 0.05   

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Conclusion

It can be concluded that medication error has very high prevalence and its incidence is associated with a number of factors.

It increases with: Increase in age of patient, increase in number of health condition, increase in number of medications, if patient needs assistance in takeing medication, if patient has difficulty in reading the drug label, if patient takes medicines without prescription.

It decreases: If the doctor or pharmacist explains the medication to patient if they can identify the medication with the disease they were intended for, with the increase in educational qualification of patient.

No proper relation could be established between medication error: The stock of medication with patient, the number of different doctor visits done by patient.

Source of Funding

None.

Conflict of Interest

None.

References

1 

JK Aronson Medication errors: Definitions and classificationBrit J Clinl Pharm2009676599604

2 

JJ Mira D Orozco-Beltran P Jover Physician patient communication failure facilitates medication errors in older polymedicated patients with multiple comorbiditiesFam Pract20133015663

3 

D Sheikh UV Mateti S Kabekkodu T Sanal Assessment of medication errors an adherence to WHO prescription writing guidelines in a tertiary care hospitalFuture J Pharm Sci201731604

4 

DC Abdullah NS Ibrahim M Ibrahim Medication errors among geriatrics at the outpatient department in a teaching hospital in KelantanMalays J Med Sci2004112528

5 

C Gorbach L Bianton BA Lukawski Frequency of and risk factors for medication errors by pharmacists during order verification in a tertiary care medical centerAm J Health-System Pharm2015721714714

6 

DD Cousins WM Heath The National Coordinating Council for Medication Error Reporting and Prevention: promoting patient safety and quality through innovation and leadershipJ Comm J Qual Patient Saf200834127002

7 

S Fein A conceptual model for disclosure of medical errorsAdv Patient Saf2005248394

8 

J Allard J Carthey J Cope Medication errors: Causes, prevention and reductionBr J Haematol2008116225565

9 

MA Makary M Daniel ‘Medical error-the third leading cause of death in the USBMJ201635315



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Article type

Original Article


Article page

106-110


Authors Details

Rashid Iqbal, Ratan Kumar, Rajan Barnwal


Article History

Received : 02-03-2023

Accepted : 14-03-2023


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