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PRESCRIPTION PATTERN AND MEDICATION
ADHERENCE IN ASTHMA PATIENTS AT TERTIARY
CARE HOSPITAL.
Under the guidance of:
Mrs MERIN SUSAAN ABRAHAM,
Assistant professor
Department of pharmacy practice
The oxford college of pharmacy, Hongasandra
Bangalore 560068
Under the co-guidance of:
Dr JYOTHI
DEPARTMENT OF PULMONOLOGY
The Oxford Medical College Hospital and research Centre.
Attibele, Bangalore
Name of participants
1. MANOHARA.YM
2. ABHISHEK J
3. AMEEN KHAN
4. ANAND KRISHNA.C
AIMS AND OBJECTIVES
AIM: To study the prescribing pattern and patient medication adherence
in asthma patients.
PRIMARY OBJECTIVE
•To assess the prescribing pattern of drugs in asthma patients.
SECONDARY OBJECTIVE
•To assess the medication adherence of patients.
METHODOLOGY
• STUDY SITE: The Oxford Medical College Hospital and Research Centre,
Attibele
• STUDY DESIGN: PROSPECTIVE CROSS-SECTIONAL STUDY
• STUDY PERIOD: 6 months
• ETHICAL APPROVAL FOR THE STUDY: Ethical approval will be obtained
from the institutional ethics committee of The Oxford Medical College Hospital
and Research Centre, Attibele
SAMPLE SIZE DETERMINATION
•
Z= confidence interval 95% =
1.96
P = Expected prevalence = 0.131
N= Desired sample = 150
Q= (1-p)
n = required sample size
e = error of margin
METHODOLOGY
Cases admitted during the period of 2022
After getting approval from the ethical committee
STEP 1: We obtained consent from 47 patients in both English and Kannada
language
STEP 2: We Collected demographics of the patient (Name, Age, Weight, etc),
prescribed drugs, indication, their route of administration, frequency, dose of drugs,
number of days of stay in case of inpatients through case files and patient interview .
STEP 3:We Obtained data through MARS questionnaires from patient at the time
of visit and follow up through telephone contact.
STEP 4: Assessment and analysis of data collected from MARS questionnaires.
STEP 5: To study the prescribing pattern and medication adherence of drugs in
asthma patient. The obtained data will be subjected to suitable statistical method like
z test .
STUDY CRITERIA
6.6.1 INCULSION CRITERIA:
•Both inpatients and outpatients with asthmatic condition.
•Patients above the age of 12 years.
6.6.2 EXCULSION CRITERIA
• Patient who are not willing to enrol in study.
RESULTS
Distribution of patients based on there age group
AGE GROUP NUMBER OF PATIENTS
22-31 6
32-41 4
42-51 6
52-61 5
62-71 14
72-81 3
82-91 8
0
2
4
6
8
10
12
14
16
AGE GROUP
AGE GROUP NUMBER OF PATIENTS
GENEDER COUNT
MALE 27
FEMALE 19
59%
41%
GENDER
MALE
FEMALE
Distribution based on gender
OCCUPATION COUNT
BAR SERVER 1
BOUTIQUE OWNER 1
CAB DRIVER 1
CARPENTER 1
CLEANER 1
DAILY WORKER 1
DRIVER 2
FARMER 5
GARMENTS 1
HOUSE KEEPING 2
HOUSE WIFE 9
IT EMPLOYEE 2
SELF-EMPLOYED 6
SERVER IN HOTEL 1
STUDENT 3
STUDYING 1
TAXI DRIVER 1
UNEMPLOYED 4
VEGETABLE VENDOR 1
VEHICLE DEALER 1
WELDER 1
OCCUPATION
COUNT+N125:N145
BOUTIQUE OWNER
CAB DRIVER
CARPENTER
CLEANER
DAILY WORKER
DRIVER
FARMER
GARMENTS
HOUSE KEEPING
HOUSE WIFE
IT EMPLOYEE
SELF-EMPLOYED
SERVER IN HOTEL
STUDENT
STUDYING
Distribution based on occupation of patients
EDUCATION COUNT
10TH GRADE 1
12TH 1
12TH GRADE 2
12TH PASS 1
3RD GRAD 1
4TH GRADE 1
5TH GRADE 2
6TH GRADE 4
6TH GREADE 2
8TH GRADE 1
9THGRADE 1
DEGREE 4
DEGREEE 1
ILLETERATE 24
UNEMPLOYED 4
2%
2%4%
2%
2%
2%
4%
8%
4%
2%
2%
8%
2%
48%
8%
EDUCATION
10TH GRADE
12TH
12TH GRADE
12TH PASS
3RD GRAD
4TH GRADE
5TH GRADE
6TH GRADE
6TH GREADE
8TH GRADE
9THGRADE
DEGREE
DEGREEE
ILLETERATE
UNEMPLOYED
Distribution based on educational qualification
YES/NO ALLERGIES SMOKER ALCOHOLIC
YES 3 13 7
NO 43 33 39
0 5 10 15 20 25 30 35 40 45 50
ALLERGIES
SMOKER
ALCOHOLIC
COUNT
SOCIAL HABBITS
NO YES
Distribution of patients based on social habits
3.6
8.266
0 1 2 3 4 5 6 7 8 9
BEFORE COUSELLING
AFTER COUNSELLING
MEDICATION ADHERENCE
SCORE
MEDICATION ADHERENCE SCORE
BEFORE COUSELLING 3.6
AFTER COUNSELLING 8.266
Distribution based on Medication adherence pre and post interview
Higher the score greater the adherence
Drugs No. of patients prescribed
Percentage of
patients prescribed
Salbutamol +
iporatropium bromide 22 47.826087
budesonide 23 50
ipratropium bromide +
levosalbutamol 17 36.956522
pantoprazole 20 43.478261
amoxicillin + clavulanate 27 58.695652
paracteamol 14 30.434783
ondasetron 5 10.869565
montelukast + levo
cetrizine 12 26.086957
azithromycin 10 21.73913
etophylline + theophylline 19 41.304348
ceftriaxone 14 30.434783
furosemide 9 19.565217
ambroxol
+levosalbutamol
+guaifenesin 11 23.913043
other drugs 35 76.086957
HYDROCORTISONE 7 15.217391
FORMONIDE 2 4.3478261
Distribution based on no. of various drugs prescribed and their percentage
CONCLUSION
47 cases are collected up to date , the collected cases revealed that the
most commonly prescribed drugs are Nebulizer combimist and
Nebulizer derinide , Nebulizer duolin , which is followed by
montelukast , levocetrizine
After the patient counselling the medication adherence was found to
be improved on follow up conducted
REFERENCE
1. Joseph T . Dipiro. Pharmacotherapy handbook ,9th edition , Mc GRAW hill, ASTHMA edited by terry L schwinghammer , page 821p 2019
2. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease
Study 2019. Lancet. 2020;396(10258):1204-22
3. Subbarao P, Mandhane PJ, Sears MR. Asthma: Epidemiology, etiology and risk factors. Canadian Medical Association Journal. 2009;181(9).
4. Trivedi N. 2020 focused updates to the Asthma Management Guidelines [Internet]. National Heart Lung and Blood Institute. U.S. Department
of Health and Human Services; 2017. Available from: https://www.nhlbi.nih.gov/health-topics/asthma-management-guidelines-2020-updates
5. Srivastava R. assessment of prescription pattern in asthma therapy [Internet]. assessment of prescription pattern in asthma therapy. 2012
Available from:
https://www.researchgate.net/publication/221850111_Assessment_of_Prescription_Pattern_in_Asthma_Therapy_at_Shamli_Hospitals
6. Herfindal Eric T, Helms RA, Quinn DJ. Text book of Therapeutics. 2nd ed. Lippincot William and Wilkins; pp. 658–81.
7. Gourgoulianis K, Hamos B, Christou K, Rizopoulou D, Efthimiou A. Table 3 from prescription of medications by primary care physicians in
the light of asthma guidelines: Semantic scholar [Internet]. undefined. 1998. Available from:
https://www.semanticscholar.org/paper/Prescription-of-Medications-by-Primary-Care-in-the-Gourgoulianis-
Hamos/14cf2f70a1ce13d782bc58e2d827cbbde376d8ea/figure/2
8. Nehra D, Bhalla K, Nanda S, Verma R, Gupta A, Mehra S. Prevalence of bronchial asthma and its associated risk factors in school-going
adolescents in tier-III North Indian city. Journal of Family Medicine and Primary Care. 2018;7(6):1452.
9. Global Asthma Network. The Global Asthma Report. 2018. Available at: http://www.globalasthma
report.org/Global%20Asthma%20Report%202018. pdf. Accessed on 8 September 2019.
10. Kant S. Socioeconomic dynamics of asthma. Indian J Med Res. 2013;138(4):446-8.
11. Bacharier LB, Boner A, Carlsen KH, Eigenmann PA, Frischer T, Gotz M, Helms PJ, Hunt J, Liu A, Papadopoulos N, Platts-Mills T, Pohunek
P, Simons FE, Valovirta E, Wahn U, Wildhaber J: Diagnosis and treatment of asthma in childhood: a PRACTALL consensus report. Allergy.
2008, 63: 5-34.
12. Carruthers AA, Krska J. Thrombolytics. A drug utilization review in a district general hospital. J Clin Pharm Ther 1997; 22: 335-338.
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  • 1. PRESCRIPTION PATTERN AND MEDICATION ADHERENCE IN ASTHMA PATIENTS AT TERTIARY CARE HOSPITAL. Under the guidance of: Mrs MERIN SUSAAN ABRAHAM, Assistant professor Department of pharmacy practice The oxford college of pharmacy, Hongasandra Bangalore 560068 Under the co-guidance of: Dr JYOTHI DEPARTMENT OF PULMONOLOGY The Oxford Medical College Hospital and research Centre. Attibele, Bangalore Name of participants 1. MANOHARA.YM 2. ABHISHEK J 3. AMEEN KHAN 4. ANAND KRISHNA.C
  • 2. AIMS AND OBJECTIVES AIM: To study the prescribing pattern and patient medication adherence in asthma patients. PRIMARY OBJECTIVE •To assess the prescribing pattern of drugs in asthma patients. SECONDARY OBJECTIVE •To assess the medication adherence of patients.
  • 3. METHODOLOGY • STUDY SITE: The Oxford Medical College Hospital and Research Centre, Attibele • STUDY DESIGN: PROSPECTIVE CROSS-SECTIONAL STUDY • STUDY PERIOD: 6 months • ETHICAL APPROVAL FOR THE STUDY: Ethical approval will be obtained from the institutional ethics committee of The Oxford Medical College Hospital and Research Centre, Attibele
  • 4. SAMPLE SIZE DETERMINATION • Z= confidence interval 95% = 1.96 P = Expected prevalence = 0.131 N= Desired sample = 150 Q= (1-p) n = required sample size e = error of margin
  • 5. METHODOLOGY Cases admitted during the period of 2022 After getting approval from the ethical committee STEP 1: We obtained consent from 47 patients in both English and Kannada language STEP 2: We Collected demographics of the patient (Name, Age, Weight, etc), prescribed drugs, indication, their route of administration, frequency, dose of drugs, number of days of stay in case of inpatients through case files and patient interview . STEP 3:We Obtained data through MARS questionnaires from patient at the time of visit and follow up through telephone contact. STEP 4: Assessment and analysis of data collected from MARS questionnaires. STEP 5: To study the prescribing pattern and medication adherence of drugs in asthma patient. The obtained data will be subjected to suitable statistical method like z test .
  • 6. STUDY CRITERIA 6.6.1 INCULSION CRITERIA: •Both inpatients and outpatients with asthmatic condition. •Patients above the age of 12 years. 6.6.2 EXCULSION CRITERIA • Patient who are not willing to enrol in study.
  • 7. RESULTS Distribution of patients based on there age group AGE GROUP NUMBER OF PATIENTS 22-31 6 32-41 4 42-51 6 52-61 5 62-71 14 72-81 3 82-91 8 0 2 4 6 8 10 12 14 16 AGE GROUP AGE GROUP NUMBER OF PATIENTS
  • 8. GENEDER COUNT MALE 27 FEMALE 19 59% 41% GENDER MALE FEMALE Distribution based on gender
  • 9. OCCUPATION COUNT BAR SERVER 1 BOUTIQUE OWNER 1 CAB DRIVER 1 CARPENTER 1 CLEANER 1 DAILY WORKER 1 DRIVER 2 FARMER 5 GARMENTS 1 HOUSE KEEPING 2 HOUSE WIFE 9 IT EMPLOYEE 2 SELF-EMPLOYED 6 SERVER IN HOTEL 1 STUDENT 3 STUDYING 1 TAXI DRIVER 1 UNEMPLOYED 4 VEGETABLE VENDOR 1 VEHICLE DEALER 1 WELDER 1 OCCUPATION COUNT+N125:N145 BOUTIQUE OWNER CAB DRIVER CARPENTER CLEANER DAILY WORKER DRIVER FARMER GARMENTS HOUSE KEEPING HOUSE WIFE IT EMPLOYEE SELF-EMPLOYED SERVER IN HOTEL STUDENT STUDYING Distribution based on occupation of patients
  • 10. EDUCATION COUNT 10TH GRADE 1 12TH 1 12TH GRADE 2 12TH PASS 1 3RD GRAD 1 4TH GRADE 1 5TH GRADE 2 6TH GRADE 4 6TH GREADE 2 8TH GRADE 1 9THGRADE 1 DEGREE 4 DEGREEE 1 ILLETERATE 24 UNEMPLOYED 4 2% 2%4% 2% 2% 2% 4% 8% 4% 2% 2% 8% 2% 48% 8% EDUCATION 10TH GRADE 12TH 12TH GRADE 12TH PASS 3RD GRAD 4TH GRADE 5TH GRADE 6TH GRADE 6TH GREADE 8TH GRADE 9THGRADE DEGREE DEGREEE ILLETERATE UNEMPLOYED Distribution based on educational qualification
  • 11. YES/NO ALLERGIES SMOKER ALCOHOLIC YES 3 13 7 NO 43 33 39 0 5 10 15 20 25 30 35 40 45 50 ALLERGIES SMOKER ALCOHOLIC COUNT SOCIAL HABBITS NO YES Distribution of patients based on social habits
  • 12. 3.6 8.266 0 1 2 3 4 5 6 7 8 9 BEFORE COUSELLING AFTER COUNSELLING MEDICATION ADHERENCE SCORE MEDICATION ADHERENCE SCORE BEFORE COUSELLING 3.6 AFTER COUNSELLING 8.266 Distribution based on Medication adherence pre and post interview Higher the score greater the adherence
  • 13. Drugs No. of patients prescribed Percentage of patients prescribed Salbutamol + iporatropium bromide 22 47.826087 budesonide 23 50 ipratropium bromide + levosalbutamol 17 36.956522 pantoprazole 20 43.478261 amoxicillin + clavulanate 27 58.695652 paracteamol 14 30.434783 ondasetron 5 10.869565 montelukast + levo cetrizine 12 26.086957 azithromycin 10 21.73913 etophylline + theophylline 19 41.304348 ceftriaxone 14 30.434783 furosemide 9 19.565217 ambroxol +levosalbutamol +guaifenesin 11 23.913043 other drugs 35 76.086957 HYDROCORTISONE 7 15.217391 FORMONIDE 2 4.3478261 Distribution based on no. of various drugs prescribed and their percentage
  • 14.
  • 15. CONCLUSION 47 cases are collected up to date , the collected cases revealed that the most commonly prescribed drugs are Nebulizer combimist and Nebulizer derinide , Nebulizer duolin , which is followed by montelukast , levocetrizine After the patient counselling the medication adherence was found to be improved on follow up conducted
  • 16. REFERENCE 1. Joseph T . Dipiro. Pharmacotherapy handbook ,9th edition , Mc GRAW hill, ASTHMA edited by terry L schwinghammer , page 821p 2019 2. Global burden of 369 diseases and injuries in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396(10258):1204-22 3. Subbarao P, Mandhane PJ, Sears MR. Asthma: Epidemiology, etiology and risk factors. Canadian Medical Association Journal. 2009;181(9). 4. Trivedi N. 2020 focused updates to the Asthma Management Guidelines [Internet]. National Heart Lung and Blood Institute. U.S. Department of Health and Human Services; 2017. Available from: https://www.nhlbi.nih.gov/health-topics/asthma-management-guidelines-2020-updates 5. Srivastava R. assessment of prescription pattern in asthma therapy [Internet]. assessment of prescription pattern in asthma therapy. 2012 Available from: https://www.researchgate.net/publication/221850111_Assessment_of_Prescription_Pattern_in_Asthma_Therapy_at_Shamli_Hospitals 6. Herfindal Eric T, Helms RA, Quinn DJ. Text book of Therapeutics. 2nd ed. Lippincot William and Wilkins; pp. 658–81. 7. Gourgoulianis K, Hamos B, Christou K, Rizopoulou D, Efthimiou A. Table 3 from prescription of medications by primary care physicians in the light of asthma guidelines: Semantic scholar [Internet]. undefined. 1998. Available from: https://www.semanticscholar.org/paper/Prescription-of-Medications-by-Primary-Care-in-the-Gourgoulianis- Hamos/14cf2f70a1ce13d782bc58e2d827cbbde376d8ea/figure/2 8. Nehra D, Bhalla K, Nanda S, Verma R, Gupta A, Mehra S. Prevalence of bronchial asthma and its associated risk factors in school-going adolescents in tier-III North Indian city. Journal of Family Medicine and Primary Care. 2018;7(6):1452. 9. Global Asthma Network. The Global Asthma Report. 2018. Available at: http://www.globalasthma report.org/Global%20Asthma%20Report%202018. pdf. Accessed on 8 September 2019. 10. Kant S. Socioeconomic dynamics of asthma. Indian J Med Res. 2013;138(4):446-8. 11. Bacharier LB, Boner A, Carlsen KH, Eigenmann PA, Frischer T, Gotz M, Helms PJ, Hunt J, Liu A, Papadopoulos N, Platts-Mills T, Pohunek P, Simons FE, Valovirta E, Wahn U, Wildhaber J: Diagnosis and treatment of asthma in childhood: a PRACTALL consensus report. Allergy. 2008, 63: 5-34. 12. Carruthers AA, Krska J. Thrombolytics. A drug utilization review in a district general hospital. J Clin Pharm Ther 1997; 22: 335-338.