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Abstract

Geriatrics represents the most vulnerable section of our society and largest consumers of prescribed drugs. Total world population consists 21% of geriatric population. The high-rate chronic problems of elderly patients’ attributes to various drug related problems (DRP). The prevalence of potentially inappropriate medication use is high among geriatrics, affecting up to 40% of patients. The main objectives of the study are to assess the prescription pattern and appropriate drug use using Beers Criteria 2022. A prospective observational study was conducted in General Medicine department of Sri Ramakrishna Hospital, Coimbatore where eligible patients were enrolled. The patient data was collected and analyzed statistically. It was observed that 83% of drugs belonged to group 1 of Beers Criteria (Potentially inappropriate drug use in older adults), 16% of drugs belonged to group 2 (inappropriate medication use in older adults sue to drug disease or syndrome) and 1% of drugs belonged to group 3 (potentially inappropriate medications to be used with caution in older adults). The use of inappropriate medications can be avoided using Beers Criteria 2022, which is one of the essential clinical tools. Hence pharmacists need to play an important role in reducing inappropriate medication use and suggest safer alternatives.

Keywords

Beers Criteria, Geriatric, Inappropriate medications, Prescription pattern, Medication errors

Introduction

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Geriatrics represent the most vulnerable section of our society and are generally the biggest consumers of prescribed drugs. Treating the elderly is the most challenging part to the physicians and it can be sorted only through a holistic multidisciplinary approach. It is predicted that the population of geriatrics in our country will rise from 8.3% - 10.7% by 2023. Geriatrics constitutes of 21% of the world population and in India it was 57 millions. Due to advances in medical technology and major social, financial and health planning implications, it has been estimated that by the year 2050, the number of elderly people would increase to about 324 million, that is 33% of the world population. India has emerged as “an aging nation” because 7.7% of its populations are more than 60 years old in that 75% of elderly persons were living in rural areas.

Life expectancy has soared by leaps and bounds in the last 100 years. In 2015, the global elderly population increased by 55 million.[1]  On an average, the individuals who are 65– 69 years old take nearly 14 different prescription medications per year, and individuals who are aged 80–84 years take an average of 18 prescriptions per year.[2] Age-related physiologic changes that occur in elderly individuals may affect drug pharmacokinetics and pharmacodynamics, thus increasing the risk of medication-related problems.[3] The other reasons for drug-related problems are lack of continuity in physician contacts, lack of a consistent drug list, and inadequate prescription and monitoring of drug therapy.[4] moreover, with ageing, a high prevalence of multiple chronic diseases and comorbidity takes place, followed by the use of complicated treatment regimens and polypharmacy.[5]

 Polypharmacy may be a source of concerns for the elderly because it increases the risk of elderly syndromes and a decreased functional status as well s cost in health care. Polypharmacy is the concomitant administration and use of four or more medications and it is usually common among older adults.[6] Underuse has an important relationship with older adults; it seems to have a negative effect on health outcomes for older people,[7] which include functional disability, health services use, and death. Also medication nonadherence can have drastic deleterious health effects on the elderly.[8]  These factors and treated the elderly patients with higher attention.

Population Census 2011 of India reported around 104 million elderly persons in India comprises 7.4% of total population and estimated to rise by the year 2026 to 12.4%. It is seen in India, that the growth rate of the elderly population has been more than the growth in general population[9]. Due to the increase of pandemonium happened recently, world focus shifted to the poor health status and vulnerability of the elderly aged advanced group patients to disease acquisition. Inappropriate prescribing is a very common practice in older adults and has become a international healthcare concern because of its association with less desirable health outcomes that include adverse drug events (ADEs), longer hospital stay and inappropriate healthcare resource utilization [10]. Ensuring  safe and effective drug therapy can be challenged by various factors such as acute and chronic disorders, reduced physiological reserves, age related alteration of pharmacokinetic and pharmacodynamic properties of a drug, cognitive changes with reduced medication adherence and organization etc can challenge the effective drug therapy .The use of five or more drugs concurrently , defined as polypharmacy and is becoming an important public health problem .Very often , it is blamed for the increase in morbidity  and  mortality .‘The inappropriate prescription in older patients occurs when the risk of adverse effects exceeds the clinical benefits, especially when there are more effective alternatives available’ [11] .

Commonly observed preventable drug related Problems (DRPs) include: 

  • Drug interactions
  • Inadequate monitoring
  • Inappropriate drug selection
  • Overdosage
  • Poor communication 
  • Under prescribing
  • Untreated medical problem
  • Lack of patient adherence

LITERATURE REVIEW

  1. Adel A Alfahmi, et al.,(2023)(26) conducted a cross sectional study on assessment of knowledge ,attitude and practices of the hospital and community pharmacist towards inappropriate medication use in older adults. The study revealed the necessity of integrating a standardized PIM tool in to the health care system. They recommended targeted drug safety education programs about identifying PIM use in older adults and to improve the quality of the use of medicine in older adults 
  2. Aditi Rathore et al.,(2023)(21) conducted a  cross sectional study on knowledge ,attitude and practice of medical interns and post graduate residents on American geriatric society updated beers criteria .The study was concluded stating that the medical students and PG residents have average knowledge of PIMs and or unware of standard guidelines in older adults such as beers criteria .Lack of formal education or training about beers guidelines was the main reason responsible for average knowledge among participants.
  3. Hening Pratiwi, et al.,(2023)(22) conducted a study on  systematic review of compensation and technology mediated strategies to maintain older adults medication adherence .The study was concluded by stating that the older adults use a variety of compensation strategies and technology based strategies to maintain or improve their  medication adherence.
  4. Huda Al-Noumani et al.,(2023)(23) conducted a cross sectional study  on factors predicting medication adherence among omani patients with chronic disease .The study was concluded stating that the importance of implementing educational courses for healthcare providers and students to emphasize methods to reinforce the significant role, these factors help in improving medication adherence.
  5. Limi Adem et al., (2022)(24) conducted a retrospective cross sectional study to assess medication appropriateness ,polypharmacy and drug- drug interactions among  elderly patients .The study was concluded by stating that more than half of patients got polypharmacy and had potential drug – drug interaction ranging from mild to major respectively . Further these findings highlight the need for interventions to improve the appropriate prescribing pattern among elderly.
  6. Majda A. et al., (2021)(25) conducted a drug utilisation study on assessment on drug prescribing pattern and prescription errors in elderly patients .The study was concluded by stating that the  drug use evaluation for elderly people should  be checked whether appropriately prescribed or not .Medical education  system should be revised to promote rational drug prescribing by medical staff and by future genrations of health providers.

OBJECTIVES 

  • To assess the prescription pattern among geriatric patients.
  • To categorize the prescribed drugs as per Beers criteria (2022)
  • To analyze the appropriateness of prescribed drugs as per Beers criteria (2023).
  • To monitor the drug related problems in geriatric patients.
  • To analyze the status of medication adherence in the study population.

MATERIALS AND METHODS

STUDY DESIGN 

A well-designed patient data entry form was developed and used for this study. The following information like patient demographic details (Name, age, gender, reason for admission, duration of illness and social history were included. The patients were monitored for restricted drug-drug interactions, administration information provided regarding each medications prescribed.

METHODS 

Study site:

In General medicine department of Sri Ramakrishna Hospital Coimbatore, which is a 1000 bedded multi-speciality, tertiary care private corporate teaching hospital. 

Study Design: Prospective observational study.

Study duration: 6 Months

Samplesize:103 in-patients.

Statistical Analysis:

The data collected will be analyzed statistically using descriptive statistics wherever necessary, the results will be depicted in the form of graphs and percentages.

INCLUSION CRITERIA:

  • Patients of either sex getting admitted to the study site during the study period.
  • Patients above 65 yrs and suffering from atleast 2 comorbid conditions.
  • Patients who have given their consent in the study.

EXCLUSION CRITERIA 

  • ICU patients and terminally ill patients.
  • Patients below 65 yrs of age.

METHOD:

The prospective observational study will be conducted in General medicine,   department of Sri Ramakrishna Hospital, Coimbatore. Based on the inclusion and exclusion criteria, the eligible patients were enrolled by taking/obtaining their consent. The well-designed/structured data collection forms were prepared and used. This form mainly contains demographic details, educational qualifications, social habits, current medication, past medical and medication history, laboratory data, and other relevant information. The other relevant data were collected from patient's progress records, treatment chart, laboratory reports, and by a direct patient interview.

The current medication data details include the names of all drugs, their dosage, route of administration with frequency, indication, and the date of drugs started and stopped. The past medication and medical history data consisting of patients previous allergies, co-morbidities, and the drug received previously. The laboratory data includes the various relevant laboratory investigations performed.

The drug therapy of enrolled study participants were routinely monitored and interviewed when necessary and discussed with the physician about identified MRP during ward rounds and at outpatient clinic. While collecting the data of the patients, patient or their care takers were interviewed with the help of nursing staff to get the complete details. The data collected were subjected/assessed for various DRP (inappropriate use of medication, polypharmacy, noncompliance, ADRs, drug–drug interaction, etc,) by using primary (standard literature), secondary (Micromedex), and tertiary resources (e.g.: BNF, AHFS, and Martindile) which is available in the clinical pharmacy department. Whenever the clinical pharmacist's service was required by the patients/ health care professionals, the service was provided for better therapeutic outcomes (e.g., patient counselling, drug interaction, and drug information). The assessed information was documented and subjected for a suitable statistical method.

EXPECTED OUTCOMES:

  • The study improves the geriatric patient care.
  • The study reduces the drug related problems by appropriate management measure.
  • Reduce cost of therapy by prescribing cost effective medications.
  • Improves medication adherence there by improves treatment efficacy.

RESULTS AND DISCUSSIONS

The study entitled “Assessment of prescription pattern and appropriate drug use among geriatric population” was carried out in the General Medicine Department of a multi-speciality  hospital. A total number of 103 patients who has satisfied the inclusion criteria were enrolled in the study after obtaining their consent.

GENDER DISTRIBUTION:

A total of 103 patients were included in the study, among them 67(65%) were male and 36(35%) were female. The percentage of men were more when compared to female (TABLE-1). The result on gender categorisation has revealed that the study population comprises of more number of male patients . Our study results correlate with the study  conducted by  Kumaraswamy M. et al, (2023) which reported that male patients were more in their study  population.(13)

TABLE 1: GENDER CATEGORIZATION (n=103)

SR. NO

GENDER

NO OF PATIENTS

PERCENTAGE

1

Male

67

65%

2

Female

36

35%

AGE DISTRIBUTION:

A total of 103 prescriptions were screened randomly. Age distribution of the patients was  analysed and it was found that 50(48.5%) of the prescriptions were in the age group of 65-69 years, 34{33.2%) in the age group of 70-74 years, 8(7.7%) in the age group of 75-79 years, 6 (5.8%) in the age group of 80-84 years, 2 (1.9%) in the age group of 85-89 years, 3 (2.9%) in the age group of 90-94 years. The study shows that the maximum number of patients in the study group were in the age group of 65-69 years (TABLE -2). Our study results correlate with the study conducted by Rims B. et al, (2011) which reported that maximum number of patients in their study were in  the age group of (65-69)yrs.(14)

FIGURE 2: AGE DISTRIBUTION

LENGTH OF STAY:

The length of stay of the patients in the study site were also analysed and found that 62 (62.1%) of the patients were hospitalized in the for the period between 1-5 days, 40 (38.8%) had 6-10 days and 1(0.9%) had 11-15 days as a length of stay. The majority of the study population were hospitalised for a period of 1-5 days (TABLE-3).  Our study results correlate with the study conducted by Harikrishna V. et al, (2023) it showed that most of the patients were hospitalised for 1-5 days in their study population. (15)    

TABLE 3: LENGTH OF STAY

No of Days

No of Patients

Percentage

1 to 5

62

60.19%

6 to 10

40

38.8%

11 to 15

1

0.9%

MAJOR DIAGNOSIS OBSERVED IN THE STUDY POPULATION:

Major diagnosis observed in the study population were Diabetes mellitus (18.8%), followed by Systemic Hypertension (16.1), CVA (11.2%), Ischemic Heart Disease (11.2%), ACS (6.2%).

The results revealed that diabetes and hypertension is more prevalent in the study population Our study results correlate with the study conducted by Muhammed S. et al, (2015) reported  that  DM & Cardio vascular disorders(16 ) were noy prevalent in there study group (TABLE-4).

FIGURE 4: MAJOR DIAGNOSIS OBSERVED IN THE STUDY POPULATION

CATEGORIES OF DRUGS PRESCRIBED: 

The commonly prescribed to the study population were Antibiotics, Antiulcers and Antiemetics, Analgesics, Antihypertensives, Antidiabetics, Steroids, Probiotics, Multivitamins, Lipid lowering drugs, Antiasthmatics, Anticoagulants, Antiplatelets, Antiepileptics, Sedatives, Antivertigo, Antiseptics, Antianginal, Nootropics and Others (TABLE 5).

The major categories of drugs in the prescriptions were Antiulcers and antiemetics (15.2%), Antibiotics (11.5%), Anti diabetics (9.02%), Multivitamins (8.2%).

TABLE 5: CATEGORIES OF DRUGS PRESCRIBED TO PATIENTS

Sr. No

Categories of Drugs Prescribed

No. of Drugs

Percentage

1.

Antibiotics

106

11.5%

2.

Anti-ulcer and anti-emetics

140

15.2%

3.

Analgesics

58

6.3%

4.

Antihypertensives

54

5.8%

5.

Anti-diabetic

83

9.02%

6.

Steroids

19

2.06%

7.

Pro-biotics

7

0.76%

8.

Multivitamins

76

8.2%

9.

Lipid-lowering agents

48

5.2%

10.

Anti-asthmatics

55

5.9%

11.

Anticoagulants

28

3.04%

12.

Antiplatelets

67

7.2%

13.

Antiepileptics

20

2.17%

14.

Sedatives

19

2.06%

15.

Anti-vertigo

12

1.3%

16.

Antiseptics

13

1.4%

17.

Antianginal

20

2.17%

18.

Nutropics

35

3.8%

19.

Others

60

6.5%

NUMBER OF MEDICATIONS PER PRESCRIPTION:

The number of drugs prescribed in each prescription was evaluated and it was found that 5(4.8%) of the prescription had 1-5 drugs, 48(46.6%) had 6-10 drugs, 43(41.7%) had 1115 drugs, 8 (7.7%) had 16-20 drugs. (TABLE -6).  The results revealed that, polypharmacy is more prevalent among the study population. Polypharmacy can be associated with poor medication adherence especially among elderly patients. Polypharmacy can also lead to increase risk of drug related problems such as, drug interactions, adverse drug reaction, IV compatibility and prolonged hospitalization. The study performed by Rushab J. et al ., (2020)  reported that majority of their study  prescriptions exhibit polypharmacy.(17)

TABLE 6: NUMBER OF MEDICATIONS PER PRESCRIPTION

Sr. No

No. of Medications

No. of Patients

Percentage

1

1 to 5

5

4.8%

2

6 to 10

48

46.6%

3

11 to 15

43

41.7%

4

16 to 20

8

7.7%

FIGURE 6: NUMBER OF MEDICATION PER PRESCRIPTION

Evaluation of prescription using Beers Criteria:

The prescriptions were thoroughly screened using Beers Criteria 2022 and the result indicate that 46.6% of prescriptions were inappropriate (TABLE-7). The study performed by Daphne Lee, Nataly martini, simon Moyes, Karen Hayman, Monica zolezzi and Ngaire Kerse, et al., (2013) showed that the majority of prescription were appropriate in their study population.

TABLE 7: EVALUATION OF PRESCRIPTION USING BEERS

Category of prescription screened

Nos of Prescription

Percentage

(%)

Appropriate prescription

55

53.40%

Inappropriate prescription

48

46.60%

FIGURE 7: EVALUATION OF PRESCRIPTION USING BEERS

Inappropriate medications according to beers criteria 

The drugs were prescribed inappropriately according to Beers Criteria were Alprazolam, Chlorthalidone, Clonazepam,    Dapagliflozin, Gliclazide, Glimepiride, Oxcarbazepine, prazosin, Promethazine, Ticagrelor, Ketorolac, Hydrochlorothiazide, Dimnhydrinate, Atropine, Tramadol, Torsemide, Clonidine, Lorazepam,  Chlorpheniramine, Nifedipine, diclofenac, Furosemide which are to be avoided in the elderly patients (TABLE -8)

S. No.

Drugs under Beers Criteria

Frequency of Occurrence (%)

Reason for Inappropriateness in Geriatric Patients

1

Alprazolam

4 (7.0%)

Avoid BZD, because it increases the risk of cognitive impairment, delirium, falls, fractures, and motor vehicle accidents in elderly.

2

Chlorthalidone

2 (3.5%)

Use with caution, it may exacerbate or cause SIADH or hyponatremia; monitor sodium level closely when starting or changing dosages in older adults.

3

Clonazepam

9 (15.7%)

Avoid BZD, because it increases the risk of cognitive impairment, delirium, falls, fractures, and motor vehicle accidents in elderly.

4

Dapagliflozin

2 (3.5%)

Use with caution as it may be at increased risk of urogenital infections, particularly in women during the first month of treatment, and ketoacidosis in older adults.

5

Gliclazide

3 (5.2%)

Avoid sulfonylureas as it has a higher risk of cardiovascular events and hypoglycemia.

6

Glimepiride

7 (12.2%)

Avoid sulfonylureas as it has a higher risk of cardiovascular events and hypoglycemia.

7

Oxcarbazepine

1 (1.7%)

Use with caution, it may exacerbate or cause SIADH or hyponatremia; monitor sodium level closely when starting or changing dosages in older adults.

8

Prazosin

2 (3.5%)

Avoid prazosin as it increases the risk of orthostatic hypotension or bradycardia.

9

Promethazine

2 (3.5%)

Avoid use as it is highly anticholinergic and its clearance is decreased with age.

10

Ticagrelor

1 (1.7%)

Use with caution, particularly in adults 75 years and older, as it increases the risk of bleeding.

11

Ketorolac

2 (3.5%)

Avoid ketorolac because it increases the risk of GI bleeding or PUD in older adults.

12

Hydrochlorothiazide

1 (1.7%)

Use with caution, it may exacerbate or cause SIADH or hyponatremia; monitor sodium level closely when starting or changing dosages in older adults.

13

Dimenhydrinate

1 (1.7%)

Avoid use as it is highly anticholinergic and its clearance is decreased with age.

14

Atropine

1 (1.7%)

Avoid use as it is highly anticholinergic and its clearance is decreased with age.

15

Tramadol

2 (3.5%)

Use with caution, it may exacerbate or cause SIADH or hyponatremia; monitor sodium level closely when starting or changing dosages in older adults.

16

Torsemide

5 (8.7%)

Use with caution, it may exacerbate or cause SIADH or hyponatremia; monitor sodium level closely when starting or changing dosages in older adults.

17

Clonidine

1 (1.7%)

Avoid as first-line antihypertensive; high risk of adverse CNS effects, may cause acute bradycardia and orthostatic hypotension.

18

Lorazepam

1 (1.7%)

Avoid BZD, because it increases the risk of cognitive impairment, delirium, falls, fractures, and motor vehicle accidents in elderly.

19

Chlorpheniramine

1 (1.7%)

Avoid use as it is highly anticholinergic and its clearance is decreased with age.

20

Furosemide

7 (12.2%)

Use with caution, it may exacerbate or cause SIADH or hyponatremia; monitor sodium level closely when starting or changing dosages in older adults.

21

Nifedipine

1 (1.7%)

Avoid because of hypotension and risk of precipitating myocardial ischemia.

22

Diclofenac

1 (1.7%)

Avoid because it increases the risk of GI bleeding or PUD in older adults.

Categorization of drugs according to Beers Criteria:

The inappropriate drugs identified are categorized under Group  I, Group II, Group III.

GROUP I--Drugs which are considered to be potentially inappropriate in older adults

GROUP II -Drugs which may exacerbate existing disease or syndrome 

GROUP III-Drugs to be sold with caution in older adults.

Group 1

Group 3

Alprazolam

Clonazepam

Gliclazide

Glimepiride

Ketorolac

Prazosin

Promethazine

Atropine

Dimenhydrinate

Clonidine

Chlorpheniramine

Nifedipine

Lorazepam

Diclofenac

Chlorthalidone

Dapagliflozin

Oxcarbazepine

Ticagrelor

Tramadol

Hydrochlorothiazide

Torsemide

Furosemide

 

45(65.60%) of drugs belongs to group 1 of Beers Criteria (Potentially inappropriate medication use in older adults), 8(34.40%) of drugs belongs to group 3 (Potentially inappropriate drugs to be used with caution in older adults).  

FIGURE 8: CATEGORISATION OF DRUGS ACCORDING TO BEERS CRITERIA

SAFER ALTERNATIVES IN GERIATRICS

Drugs

Indication

Concern

Alternative

Alprazolam, Clonazepam, Lorazepam

Sleep

Increased sensitivity to BZD, increased risk of cognitive impairment, delirium, unsteady gait, syncope, falls, accidents, and fractures

Ramelteon: 8 mg half an hour before sleep at night. Low-dose doxepin: 3–6 mg half an hour before sleep at night.

Prazosin

Systemic hypertension

Orthostatic hypotension

Lifestyle modifications. Start low and go slow. Thiazide diuretics, Angiotensin Converting Enzyme Inhibitors, Angiotensin Receptor Blockers, Calcium Channel Blockers

Dapagliflozin

Type 2 diabetes mellitus

Increased risk of urogenital infections and ketoacidosis

Monitor blood sugar level

Ticagrelor

Congestive heart failure

Increases the risk of bleeding in adults 75 years old and older

Clopidogrel 75 mg once daily

Gliclazide, Glimepiride

Type 2 diabetes mellitus

Higher risk of cardiovascular events and hypoglycemia

Dipeptidyl peptidase-4 inhibitors (e.g., Sitagliptin, Vildagliptin)

Oxcarbazepine

Partial seizure

Syndrome of inappropriate antidiuretic hormone (SIADH)/hyponatremia

Monitor serum sodium levels

Chlorthalidone, Hydrochlorothiazide, Torsemide, Furosemide

Hypertension

Syndrome of inappropriate antidiuretic hormone (SIADH)/hyponatremia

Monitor serum sodium levels

Promethazine, Chlorpheniramine, Dimenhydrinate

Allergic conditions

Anticholinergic effects

Second-generation antihistamines like cetirizine, fexofenadine, loratadine

Ketorolac, Diclofenac

Pain

GI bleeding risk increased in elderly population

Mild-to-moderate pain: Acetaminophen 500 mg–1 g every 4–6 hours. Celecoxib: Initially 400 mg, followed by 200 mg twice daily. Meloxicam: 7.5–15 mg as a single dose. Use gastroprotective agents like Proton Pump Inhibitors or Histamine Receptor Antagonists.

Atropine

Antispasmodic

Highly anticholinergic

Baclofen: 20 mg orally 3 times daily (Max dose: 80 mg/day). Tizanidine: 2 mg orally per day.

Tramadol

Pain

Syndrome of inappropriate antidiuretic hormone (SIADH)/hyponatremia

Monitor serum sodium levels

Nifedipine

SHT

Avoid because of hypotension and risk of precipitating myocardial ischemia

Nisoldipine: 17 mg orally once daily on an empty stomach, 1 hour before or 2 hours after meals. Maintenance dose: 17–34 mg once daily.

Clonidine

SHT

Avoid as first-line antihypertensive. High risk of adverse CNS effects; may cause acute bradycardia and orthostatic hypotension

Lifestyle modifications. Start low and go slow. Thiazide diuretics, Angiotensin Converting Enzyme Inhibitors, Angiotensin Receptor Blockers, Calcium Channel Blockers

CONCLUSION

The current study could assess the prescribing  pattern  of the medicines in the geriatric population according to beers criteria 2022.The study report shows that the prevalence of PIMs are steadily increasing .The use of inappropriate medications can be avoided using the beers criteria 2022 ,which is one of the important clinical tool which can be wisely used by physicians ,pharmacist ,and health care providers. Beers criteria can be used as a guideline by the physicians while prescribing the drugs to the geriatric populations .

Before dispensing the medicine to the geriatric patient ,the pharmacist should play an important in assessing the appropriateness of the prescription so that .the quality and efficacy of medical care given to geriatrics can be increased . Pharmacist can also discuss with the physician about drugs and suggest a better and safer alternative to the geriatrics so that a proper decision is made regarding the right choice of drug  Hence this study will help physicians in clinical decision making in geriatrics ,where better pharmaceutical care can be provided in the geriatric population .

REFERENCES

  1. Kowal P, Goodkind D, He W. An aging world: 2015. International Population Reports US Government Printing Office, Washington DC. 2016.
  2. Np TGB. Which Drugs Should Be Deprescribed in the Elderly? Medscape [Internet]. 2016. 
  3. Corsonello A, Pedone C, Incalzi R. Age-Related Pharmacokinetic and Pharmacodynamic Changes and Related Risk of Adverse Drug Reactions. Current Medicinal Chemistry [Internet]. Bentham Science Publishers Ltd.; 2010; 17(6):571–84. 
  4. Milos V, Rekman E, Bondesson Å, Eriksson T, Jakobsson U, Westerlund T, et al. Improving the Quality of Pharmacotherapy in Elderly Primary Care Patients Through Medication Reviews: A Randomised Controlled Study. Drugs & Aging [Internet]. Springer Science and Business Media LLC; 2013; 30(4):235–46.
  5. Stewart RB, Cooper JW. Polypharmacy in the Aged. Drugs & Aging [Internet]. Springer Science and Business Media LLC; 1994; 4(6):449–61. 
  6. Rollason V, Vogt N. Reduction of Polypharmacy in the Elderly. Drugs & Aging [Internet]. Springer Science and Business Media LLC; 2003; 20(11):817–32. 
  7. Kuzuya M, Masuda Y, Hirakawa Y, Iwata M, Enoki H, Hasegawa J, et al. Underuse of Medications for Chronic Diseases in the Oldest of Community-Dwelling Older Frail Japanese. Journal of the American Geriatrics Society [Internet]. Wiley; 2006; 54(4):598– 605. 
  8. Gellad WF, Grenard JL, Marcum ZA. A Systematic Review of Barriers to Medication Adherence in the Elderly: Looking Beyond Cost and Regimen Complexity. The American Journal of Geriatric Pharmacotherapy [Internet]. Elsevier BV; 2011; 9(1):11–23. 
  9. Situation Analysis of Elderly in India Central Statistics Office, June; 2011. Available from: http://www.mospci.nic.in/mospi_new/upload/ elderly_in_india.pdf.
  10. Vezmar Kovačević S, Simišić M, Stojkov Rudinski S, Ćulafić M, Vučićević K, Prostran M, et al. Potentially Inappropriate Prescribing in Older Primary Care Patients. PLoS ONE [Internet]. Public Library of Science (PLoS); 2014; 9(4):e95536. Available from: http://dx.doi.org/10.1371/journal.pone.0095536.
  11. Rodrigues DA, Herdeiro MT, Figueiras A, Coutinho P, Roque F. Elderly and Polypharmacy: Physiological and Cognitive Changes. In Frailty in the Elderly –Physical, Cognitive and Emotional Domains 2020 Apr 17.IntechOpen; 1-3.
  12. Lee, Georgie; Lim, Joy-Francesca; Page, Amy T.; Etherton-Beer, Christopher; Clifford, Rhonda; Wang, Kate (2022). "Applicability of explicit potentially inappropriate medication lists to the Australian context: A systematic review". Australasian Journal on Ageing. 41 (2):200–221. doi:10.1111/ajag.13038. ISSN 1741 6612. PMID 35025135. S2CID 245941385.
  13. M. kumaraswamy ,Rajesh Venkataraman et all., Assessment of Prescribing Pattern of Drugs in Geriatric patient using Beers criteria. European Chemical Bulletin 74-78.
  14. Rims B. Shah, Bharat Gajjar, Sagun V Desai.(2012), Drug utilisation pattern among geriatric patients assessed with the anatomical therapeutic chemical classification. International Journal of Nutrition. 259-262.  
  15. A. Harikrishna. V. kessia et al, (2023) and Rishab Sharma, Praveen Bansal, Ravi Ranjan, Malika Arora et al, (2020). Assessment of Prescribing Pattern of Drugs in Geriatric patient using Beers criteria. European Chemical Bulletin 74-78.
  16. Sajid M, Ilyas M, Basheer C, Tariq M, Daud M, Baig N, Shehzad F. Impact of nanoparticles on human and environment: review of toxicity factors, exposures, control strategies, and future prospects. Environmental Science and Pollution Research International 2015 Mar;22(6):4122-43. 
  17. Dagli RJ, Sharma A. Polypharmacy: a global risk factor for elderly people. Journal of International Oral Health. 2014 Nov-Dec;6(6):i-ii. PMID: 25628499; PMCID: PMC4295469.
  18. Lee D, Martini N, Moyes S, Hayman K, Zolezzi M, Kerse N. Potentially inappropriate medication use: the Beers' Criteria used among older adults with depressive symptoms. Journal of Primary Health Care. 2013 Sep 1;5(3):182-90. 
  19. Punnapurath S, Vijayakumar P, Platty PL, Krishna S, Thomas T. A study of medication compliance in geriatric patients with chronic illness. Journal of Family Medicine and  Primary Care. 2021 Apr;10(4):1644-1648. 
  20. Adel A Alfahmi, Colin M Curtain, Mohammed S Salahudeeen  er al.,(2023) conducted a cross sectional study on assessment of knowledge ,attitude and practices of the hospital and community pharmacist towards inappropriate medication use in older adults.
  21. Rathore A, Sharma R, Bansal P, Chhabra M, Arora M. Knowledge, attitude, and practice of medical interns and postgraduate residents on American Geriatric Society updated Beers criteria. Journal of Education and Health Promotion. 2023 Jan 31;12:1. 
  22. Pratiwi H, Kristina SA, Widayanti AW, Prabandari YS, Kusuma IY. A Systematic Review of Compensation and Technology-Mediated Strategies to Maintain Older Adults' Medication Adherence. International Journal Environmental Research and Public Health. 2023 Jan 1;20(1):803.
  23. Al-Noumani H, Alharrasi M, Lazarus ER, Panchatcharam SM. Factors predicting medication adherence among Omani patients with chronic diseases through a multicenter cross-sectional study. Sci Rep. 2023 May 1;13(1):7067. 
  24. Adem L, Tegegne GT. Medication Appropriateness, Polypharmacy, and Drug-Drug Interactions in Ambulatory Elderly Patients with Cardiovascular Diseases at Tikur Anbessa Specialized Hospital, Ethiopia. Clinical Interventions in Aging. 2022 Apr 16;17:509-517.
  25. Majda A. El yamani, Fathi M.Sherif et al., (2021)conducted a drug utilisation study on assessment on drug prescribing pattern and prescription errors in elderly patients .
  26. Alfahmi AA, Curtain CM, Salahudeen MS. Assessment of Knowledge, Attitude and Practices of the Hospital and Community Pharmacists in Saudi Arabia (Jeddah) towards Inappropriate Medication Use in Older Adults. International Journal of Environmental Research and Public Health. 2023 Jan 16;20(2):1635.
  27. Sharma R, Bansal P, Garg R, Ranjan R, Kumar R, Arora M. Prevalence of potentially inappropriate medication and its correlates in elderly hospitalized patients: A crosssectional study based on Beers criteria. Journal of Family and Community Medicine. 2020 Sep-Dec;27(3):200-207. 
  28. Motallebzadeh N, Jayaprakash G, Mohammadi E. Evaluation of Rationality of Geriatric Patients' Prescription Based On Beers Criteria in a Tertiary Care Hospital in India. Open Access Maced Journal of Medical Sciences. 2019 Mar 28;7(6):987-991. 
  29. Rizky Abdullah,Widya N Insani,Novia E Putri,Helda P Purba et al.,(2019) . Pattern of medication use in geriatric patients at primary healthcare facilities in Karawang, Indonesia. Dove Medical Press Journal.
  30. Khamis S, Abdi AM, Uzan A, Basgut B. Applying Beers Criteria for Elderly Patients to Assess Rational Drug Use at a University Hospital in Northern Cyprus. Journal of Pharmacy and Bio allied Sciences. 2019 Apr-Jun;11(2):133-141.
  31. Rijal S, Adhikari K, Sigdel D, Mallik SK. Prescribing Pattern of Drugs in Geriatrics Patients Using Beers Criteria. Journal of Nepal Health Research Council. 2019 Aug 4;17(2):153-157. 
  32. Rehman ZU, Siddiqui AK, Karim M, Majeed H, Hashim M. Medication Non-Adherence among Patients with Heart Failure. Cureus. 2019 Aug 8;11(8):e5346. doi: 10.7759/cureus.5346. Retraction in: Cureus. 2019 Nov 5;11(11):r17. 
  33. Ahmad A, Mast MR, Nijpels G, Elders PJ, Dekker JM, Hugtenburg JG. Identification of drug-related problems of elderly patients discharged from hospital. Patient Prefer Adherence. 2014 Feb 4;8:155-65. 
  34. Shah RB, Gajjar BM, Desai SV. Evaluation of the appropriateness of prescribing in geriatric patients using Beers criteria and Phadke's criteria and comparison thereof. Journal of  Pharmacology and  Pharmacotherapeutics. 2011 Oct;2(4):248-52. 
  35. Stegemann S, Ecker F, Maio M, Kraahs P, Wohlfart R, Breitkreutz J, Zimmer A, BarShalom D, Hettrich P, Broegmann B. Geriatric drug therapy: neglecting the inevitable majority. Ageing Res Rev. 2010 Oct;9(4):384-98. 
  36. Milton JC, Hill-Smith I, Jackson SH. Prescribing for older people. BMJ. 2008 Mar 15;336(7644):606-9. 
  37. Hailu BY, Berhe DF, Gudina EK, Gidey K, Getachew M. Drug related problems in admitted geriatric patients: the impact of clinical pharmacist interventions. BMC Geriatrics 2020 Jan 13;20(1):13. 
  38. Gavilán Moral E, Morales Suárez-Varela MT, Hoyos Esteban JA, Pérez Suanes AM. Polimedicación y prescripión de fármacos inadecuados en pacientes ancianos inmovilizados que viven en la comunidad [Inappropriate multiple medication and prescribing of drugs immobile elderly patients living in the community]. Aten Primaria. 2006 Nov 30;38(9):476-80.

Reference

  1. Kowal P, Goodkind D, He W. An aging world: 2015. International Population Reports US Government Printing Office, Washington DC. 2016.
  2. Np TGB. Which Drugs Should Be Deprescribed in the Elderly? Medscape [Internet]. 2016. 
  3. Corsonello A, Pedone C, Incalzi R. Age-Related Pharmacokinetic and Pharmacodynamic Changes and Related Risk of Adverse Drug Reactions. Current Medicinal Chemistry [Internet]. Bentham Science Publishers Ltd.; 2010; 17(6):571–84. 
  4. Milos V, Rekman E, Bondesson Å, Eriksson T, Jakobsson U, Westerlund T, et al. Improving the Quality of Pharmacotherapy in Elderly Primary Care Patients Through Medication Reviews: A Randomised Controlled Study. Drugs & Aging [Internet]. Springer Science and Business Media LLC; 2013; 30(4):235–46.
  5. Stewart RB, Cooper JW. Polypharmacy in the Aged. Drugs & Aging [Internet]. Springer Science and Business Media LLC; 1994; 4(6):449–61. 
  6. Rollason V, Vogt N. Reduction of Polypharmacy in the Elderly. Drugs & Aging [Internet]. Springer Science and Business Media LLC; 2003; 20(11):817–32. 
  7. Kuzuya M, Masuda Y, Hirakawa Y, Iwata M, Enoki H, Hasegawa J, et al. Underuse of Medications for Chronic Diseases in the Oldest of Community-Dwelling Older Frail Japanese. Journal of the American Geriatrics Society [Internet]. Wiley; 2006; 54(4):598– 605. 
  8. Gellad WF, Grenard JL, Marcum ZA. A Systematic Review of Barriers to Medication Adherence in the Elderly: Looking Beyond Cost and Regimen Complexity. The American Journal of Geriatric Pharmacotherapy [Internet]. Elsevier BV; 2011; 9(1):11–23. 
  9. Situation Analysis of Elderly in India Central Statistics Office, June; 2011. Available from: http://www.mospci.nic.in/mospi_new/upload/ elderly_in_india.pdf.
  10. Vezmar Kova?evi? S, Simiši? M, Stojkov Rudinski S, ?ulafi? M, Vu?i?evi? K, Prostran M, et al. Potentially Inappropriate Prescribing in Older Primary Care Patients. PLoS ONE [Internet]. Public Library of Science (PLoS); 2014; 9(4):e95536. Available from: http://dx.doi.org/10.1371/journal.pone.0095536.
  11. Rodrigues DA, Herdeiro MT, Figueiras A, Coutinho P, Roque F. Elderly and Polypharmacy: Physiological and Cognitive Changes. In Frailty in the Elderly –Physical, Cognitive and Emotional Domains 2020 Apr 17.IntechOpen; 1-3.
  12. Lee, Georgie; Lim, Joy-Francesca; Page, Amy T.; Etherton-Beer, Christopher; Clifford, Rhonda; Wang, Kate (2022). "Applicability of explicit potentially inappropriate medication lists to the Australian context: A systematic review". Australasian Journal on Ageing. 41 (2):200–221. doi:10.1111/ajag.13038. ISSN 1741 6612. PMID 35025135. S2CID 245941385.
  13. M. kumaraswamy ,Rajesh Venkataraman et all., Assessment of Prescribing Pattern of Drugs in Geriatric patient using Beers criteria. European Chemical Bulletin 74-78.
  14. Rims B. Shah, Bharat Gajjar, Sagun V Desai.(2012), Drug utilisation pattern among geriatric patients assessed with the anatomical therapeutic chemical classification. International Journal of Nutrition. 259-262.  
  15. A. Harikrishna. V. kessia et al, (2023) and Rishab Sharma, Praveen Bansal, Ravi Ranjan, Malika Arora et al, (2020). Assessment of Prescribing Pattern of Drugs in Geriatric patient using Beers criteria. European Chemical Bulletin 74-78.
  16. Sajid M, Ilyas M, Basheer C, Tariq M, Daud M, Baig N, Shehzad F. Impact of nanoparticles on human and environment: review of toxicity factors, exposures, control strategies, and future prospects. Environmental Science and Pollution Research International 2015 Mar;22(6):4122-43. 
  17. Dagli RJ, Sharma A. Polypharmacy: a global risk factor for elderly people. Journal of International Oral Health. 2014 Nov-Dec;6(6):i-ii. PMID: 25628499; PMCID: PMC4295469.
  18. Lee D, Martini N, Moyes S, Hayman K, Zolezzi M, Kerse N. Potentially inappropriate medication use: the Beers' Criteria used among older adults with depressive symptoms. Journal of Primary Health Care. 2013 Sep 1;5(3):182-90. 
  19. Punnapurath S, Vijayakumar P, Platty PL, Krishna S, Thomas T. A study of medication compliance in geriatric patients with chronic illness. Journal of Family Medicine and  Primary Care. 2021 Apr;10(4):1644-1648. 
  20. Adel A Alfahmi, Colin M Curtain, Mohammed S Salahudeeen  er al.,(2023) conducted a cross sectional study on assessment of knowledge ,attitude and practices of the hospital and community pharmacist towards inappropriate medication use in older adults.
  21. Rathore A, Sharma R, Bansal P, Chhabra M, Arora M. Knowledge, attitude, and practice of medical interns and postgraduate residents on American Geriatric Society updated Beers criteria. Journal of Education and Health Promotion. 2023 Jan 31;12:1. 
  22. Pratiwi H, Kristina SA, Widayanti AW, Prabandari YS, Kusuma IY. A Systematic Review of Compensation and Technology-Mediated Strategies to Maintain Older Adults' Medication Adherence. International Journal Environmental Research and Public Health. 2023 Jan 1;20(1):803.
  23. Al-Noumani H, Alharrasi M, Lazarus ER, Panchatcharam SM. Factors predicting medication adherence among Omani patients with chronic diseases through a multicenter cross-sectional study. Sci Rep. 2023 May 1;13(1):7067. 
  24. Adem L, Tegegne GT. Medication Appropriateness, Polypharmacy, and Drug-Drug Interactions in Ambulatory Elderly Patients with Cardiovascular Diseases at Tikur Anbessa Specialized Hospital, Ethiopia. Clinical Interventions in Aging. 2022 Apr 16;17:509-517.
  25. Majda A. El yamani, Fathi M.Sherif et al., (2021)conducted a drug utilisation study on assessment on drug prescribing pattern and prescription errors in elderly patients .
  26. Alfahmi AA, Curtain CM, Salahudeen MS. Assessment of Knowledge, Attitude and Practices of the Hospital and Community Pharmacists in Saudi Arabia (Jeddah) towards Inappropriate Medication Use in Older Adults. International Journal of Environmental Research and Public Health. 2023 Jan 16;20(2):1635.
  27. Sharma R, Bansal P, Garg R, Ranjan R, Kumar R, Arora M. Prevalence of potentially inappropriate medication and its correlates in elderly hospitalized patients: A crosssectional study based on Beers criteria. Journal of Family and Community Medicine. 2020 Sep-Dec;27(3):200-207. 
  28. Motallebzadeh N, Jayaprakash G, Mohammadi E. Evaluation of Rationality of Geriatric Patients' Prescription Based On Beers Criteria in a Tertiary Care Hospital in India. Open Access Maced Journal of Medical Sciences. 2019 Mar 28;7(6):987-991. 
  29. Rizky Abdullah,Widya N Insani,Novia E Putri,Helda P Purba et al.,(2019) . Pattern of medication use in geriatric patients at primary healthcare facilities in Karawang, Indonesia. Dove Medical Press Journal.
  30. Khamis S, Abdi AM, Uzan A, Basgut B. Applying Beers Criteria for Elderly Patients to Assess Rational Drug Use at a University Hospital in Northern Cyprus. Journal of Pharmacy and Bio allied Sciences. 2019 Apr-Jun;11(2):133-141.
  31. Rijal S, Adhikari K, Sigdel D, Mallik SK. Prescribing Pattern of Drugs in Geriatrics Patients Using Beers Criteria. Journal of Nepal Health Research Council. 2019 Aug 4;17(2):153-157. 
  32. Rehman ZU, Siddiqui AK, Karim M, Majeed H, Hashim M. Medication Non-Adherence among Patients with Heart Failure. Cureus. 2019 Aug 8;11(8):e5346. doi: 10.7759/cureus.5346. Retraction in: Cureus. 2019 Nov 5;11(11):r17. 
  33. Ahmad A, Mast MR, Nijpels G, Elders PJ, Dekker JM, Hugtenburg JG. Identification of drug-related problems of elderly patients discharged from hospital. Patient Prefer Adherence. 2014 Feb 4;8:155-65. 
  34. Shah RB, Gajjar BM, Desai SV. Evaluation of the appropriateness of prescribing in geriatric patients using Beers criteria and Phadke's criteria and comparison thereof. Journal of  Pharmacology and  Pharmacotherapeutics. 2011 Oct;2(4):248-52. 
  35. Stegemann S, Ecker F, Maio M, Kraahs P, Wohlfart R, Breitkreutz J, Zimmer A, BarShalom D, Hettrich P, Broegmann B. Geriatric drug therapy: neglecting the inevitable majority. Ageing Res Rev. 2010 Oct;9(4):384-98. 
  36. Milton JC, Hill-Smith I, Jackson SH. Prescribing for older people. BMJ. 2008 Mar 15;336(7644):606-9. 
  37. Hailu BY, Berhe DF, Gudina EK, Gidey K, Getachew M. Drug related problems in admitted geriatric patients: the impact of clinical pharmacist interventions. BMC Geriatrics 2020 Jan 13;20(1):13. 
  38. Gavilán Moral E, Morales Suárez-Varela MT, Hoyos Esteban JA, Pérez Suanes AM. Polimedicación y prescripión de fármacos inadecuados en pacientes ancianos inmovilizados que viven en la comunidad [Inappropriate multiple medication and prescribing of drugs immobile elderly patients living in the community]. Aten Primaria. 2006 Nov 30;38(9):476-80.

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Shivashankar V
Corresponding author

Department of Pharmacy Practice, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Sri Ramakrishna Hospital Campus, Sarojini Naidu Road, Coimbatore, India 641044

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Akash P
Co-author

Department of Pharmacy Practice, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Sri Ramakrishna Hospital Campus, Sarojini Naidu Road, Coimbatore, India 641044

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Akshayamathi M
Co-author

Department of Pharmacy Practice, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Sri Ramakrishna Hospital Campus, Sarojini Naidu Road, Coimbatore, India 641044

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Alginpraise S
Co-author

Department of Pharmacy Practice, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Sri Ramakrishna Hospital Campus, Sarojini Naidu Road, Coimbatore, India 641044

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Amruth Vishnu R. Nair
Co-author

Department of Pharmacy Practice, College of Pharmacy, Sri Ramakrishna Institute of Paramedical Sciences, Sri Ramakrishna Hospital Campus, Sarojini Naidu Road, Coimbatore, India 641044

Shivashankar V, Akash P, Akshayamathi M, Alginpraise S, Amruth Vishnu R. Nair, Assessment of Prescription Pattern and Appropriate Drug use among Geriatric Population, Int. J. of Pharm. Sci., 2026, Vol 4, Issue 6, 6568-6582. https://doi.org/10.5281/zenodo.20910934

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