A PROSPECTIVE OBSERVATIONAL STUDY ON DRUG-RELATED PROBLEMS AND POTENTIAL RISK FACTORS IN PEDIATRIC PATIENTS OF TERTIARY CARE HOSPITAL
HTML Full TextA PROSPECTIVE OBSERVATIONAL STUDY ON DRUG-RELATED PROBLEMS AND POTENTIAL RISK FACTORS IN PEDIATRIC PATIENTS OF TERTIARY CARE HOSPITAL
Shaima Shereen * and Syed Areefulla Hussainy
Department of Pharmacy Practice, MESCO College of Pharmacy, Mustaidpura, Karwan Road, Hyderabad, Telangana, India.
ABSTRACT: The aim and objective of the study are to determine the nature, frequency, and potential risk factors of drug-related problems in pediatric patients. For three months, a prospective observational study was carried on 56 pediatric patients at Niloufer Hospital, India. A data collection form was prepared, and DRPs were identified based on the classification criteria of PCNE for drug-related problems (V9.1). A one-tailed Fisher’s exact test or Chi-square test was used wherever appropriate to find a significant association between potential risk factors and DRPs. Odds ratio and confidence interval of 95% were used to see the strength of association. P < 0.05 was considered to be statistically significant. SPSS version 22.0 (copyright IBM Corporation and other(s) 1989, 2013) was used for performing statistical analysis. A total of 80 DRPs were identified with 173 causes. A mean of 1.43 with a standard deviation of 0.97 DRPs per patient ranging from 0 to 4 DRPs per patient was found. Nearing half the sample size, [22 (39.29%)] had two DRPs per patient. This indicates that the prevalence of drug-related problems was substantially high in the study area. This study revealed that half of the sample size had two or greater than two DRPs each. The number of drugs prescribed, the presence of comorbidities, and the number of diseases diagnosed have been ascertained as important risk factors for the occurrence of DRPs. The clinical pharmacist plays a significant role in determining and preventing DRPs.
Keywords: Pediatric, Patients, Risk factors, Comorbidities, Clinical pharmacist
INTRODUCTION: A Drug-Related Problem (DRP) is an event or circumstance involving drug therapy that actually or potentially interferes with desired health outcomes. The classification of drug-related problems (DRPs) is based on the most recent version of PCNE (Pharmaceutical Care Network Europe) Classification for Drug-Related Problems (V9.1).
The basic classification is divided into problems and causes. The primary domains in situations include treatment effectiveness and safety; in causes include prescribing and drug selection, dispensing, drug use process and patient-related causes with sub-domains, respectively. The cause is usually the behavior that has caused (or will cause) the problem and most often, that is a medication error 1.
The prevalence of DRPs is common today and most of them are preventable and curable 2-5. Pediatrics are those age groups less than 19 years, including premature (born before 37 weeks), neonates (from birth to 28 days), infants (1 month to 1 year), children (above 1 year to 12 years) and adolescent (13 to 18 years) 6. The medication-use process in pediatrics requires several steps such as calculation, verification, preparation, and administration of doses which is complex and error-prone. There is insufficient and limited data on pharmacokinetics, pharmacodynamics efficacy, and safety of drugs in infants and children 7.
A few studies were conducted in India, but studies on pediatric patients in India, particular and in the world, in general, remain scarce 2, 8, 9, 10.
The role of clinical pharmacists in monitoring drug therapy, identifying and preventing DRPs is of prime significance. To prevent DRPs, it is important to identify potential risk factors that may lead to or cause DRPs 11.
Therefore, this study focused on determining the nature, frequency and potential risk factors of DRPs in pediatric patients. Thereby decreasing drug-related mortality and morbidity of pediatric patients, expanding the existing body of data, emphasizing the valuable role of clinical pharmacists and leading to a better healthcare system.
Aims and Objectives:
- To determine the nature and frequency of drug-related problems in pediatric patients.
- To determine the potential risk factors for drug-related problems.
- To decrease and prevent drug-related mortality and morbidity in pediatric patients.
MATERIALS AND METHODS:
Study Design and Subjects: A prospective and observational study was conducted at Nilofer Hospital, Hyderabad, for three months. The source population included all the hospitalized pediatric patients; however, the study population was based on the inclusion and exclusion criteria.
Inclusion criteria included patients below 19 years, willing to participate, in-patient (IP) ward, with or without chronic illness, and with discharge summary. A total of 56 patients were included in the study.
Exclusion criteria included patients of out-patient (OP) and dermatology wards, admitted in Intensive Care Unit (ICU) and emergency ward, those not discharged or discharged before collecting or cross-checking the data,
Data Collection:
Data that was Collected Included:
- Sociodemographic details: age, gender, past medical history, past medication history
- Clinical details: diagnosis and comorbid conditions and with or without chronic illnesses.
- Drug therapy includes all the drugs prescribed with dose, dosage regimen, route of administration, duration of treatment.
- DRPs was classified based on the PCNE classification (V9.1)
- A questionnaire was prepared to identify DRPs related to drug use and medication compliance.
DRPs were identified using patient medical records and standard treatment guidelines for each disease or condition. The drug-drug interactions were recognized using a standard database like Micromedex 2.0.
Statistical Analysis: Descriptive statistics were used to summarize patients' demographic and clinical characteristics. Frequency tables along with their percentages, mean and standard deviation were calculated using MS excel.
A one-tailed Fisher’s exact test or Chi-square test was used wherever appropriate to find a significant association between potential risk factors and DRPs. Odds ratio (OR) and confidence interval (CI) of 95% were used to see the strength of association. Haldane-Anscombe correction for odds ratio was applied wherever appropriate. A p-value of or lower than 0.05 was considered to be statistically significant. The collected data were checked and assessed every day for completeness and accuracy before processing. Data were entered, and statistical analysis was done using SPSS version 22.0 (copyright IBM Corporation and other(s) 1989, 2013).
Ethical Approval: The study was approved by the Institutional Ethics Committee (IEC) of MESCO College of Pharmacy, Hyderabad, Telangana, with the IEC approval number MCP/IEC/PD/PR/37.
RESULTS AND DISCUSSION: As shown in Table 1, out of 56 pediatric patients, the maximum number of patients were in the age group of above 1 year to 12 years [31 (55.36%)].
The majority of the patients were males [41 (73.21%)]. 27 (48.21%), 25 (44.64%), 29 (51.79%) and 15 (26.79%) patients have a chronic illness, comorbidities, past medical history and past medication history, respectively.
A total of 31 (55.36%) pediatric patients had a single disease diagnosed. A majority of 34 (60.71%) pediatric patients were prescribed ≥6 drugs. 36 (64.29%) patients had no drug-drug interactions and the remaining had ≥1 interaction. The mean ± SD (standard deviation) for age and drug-drug interactions are 9.3±5.8 and 0.93±1.94, respectively.
Potential risk factors for DRPs such as co-morbidities (p = 0.049), number of diseases diagnosed per patient (p = 0.049) and number of drugs prescribed per patient (p = 0.014) were found to be statistically significant as shown in Table 2.
Types of diagnosis and the distribution of patients based on diagnosis done by the physician are shown in Table 3. The mean of diagnosis per patient with SD was 1.54±0.69.
Blood disorders were diagnosed with a maximum number of 30 (34.88%) in 22 pediatric patients (39.29%) followed by liver disorders with a frequency of 10 (11.63%) in 9 pediatric patients (16.07%).
TABLE 1: SOCIODEMOGRAPHIC AND CLINICAL CHARACTERISTIC
Variable | Frequency n=56 (%) |
Age | |
Neonates (from birth to 28 days) | 2 (3.57%) |
Infants (1 month to 1 year) | 3 (5.36%) |
Children (above 1 year to 12 years) | 31 (55.36%) |
Adolescent (13 to 18 years) | 20 (35.71%) |
Gender | |
Male | 41 (73.21%) |
Female | 15 (26.79%) |
Chronic illness | |
Yes | 27 (48.21%) |
No | 29 (51.79%) |
Co-morbidity | |
Yes | 25 (44.64%) |
No | 31 (55.36%) |
Past medical history | |
Yes | 29 (51.79%) |
No | 27 (48.21%) |
Past medication history | |
Yes | 15 (26.79%) |
No | 41 (73.21%) |
Number of diseases diagnosed per patient | |
1 | 31 (55.36%) |
2 | 21 (37.50%) |
3 | 3 (5.36%) |
4 | 1 (1.79%) |
Number of drugs prescribed per patient | |
1 to 5 drugs | 22 (39.28%) |
≥6 drugs | 34 (60.71%) |
Number of drug-drug interactions | |
0 interactions | 36 (64.29%) |
≥1 interaction | 20 (35.71%) |
TABLE 2: POTENTIAL RISK FACTORS OF DRUG-RELATED PROBLEMS
Factors | DRPs | OR (CI)a | P value b | Factors |
Yes | No | |||
Age | ||||
1 – 18 years | 3 | 2 | 0.32 (2.21 – 0.05) | 0.251 |
1 - 18 years | 42 | 9 | ||
Gender | ||||
Male | 32 | 9 | 0.55 (2.88 – 0.10) | 0.381 |
Female | 13 | 2 | ||
Chronic illness | ||||
Yes | 22 | 5 | 1.15 (4.31 – 0.31) | 0.838c |
No | 23 | 6 | ||
Co-morbidity | ||||
Yes | 23 | 2 | 4.70 (24.25 – 0.91) | 0.049* |
No | 22 | 9 | ||
Past medical history | ||||
Yes | 25 | 4 | 2.19 (8.54 – 0.56) | 0.253c |
No | 20 | 7 | ||
Past medication history | ||||
Yes | 12 | 3 | 0.97 (4.27 – 0.22) | 0.619 |
No | 33 | 8 | ||
Number of diseases diagnosed per patient | ||||
1 disease | 22 | 9 | 0.21 (1.09 – 0.04) | 0.049* |
Number of drugs prescribed per patient | ||||
Yes | 15 | 7 | 0.13 (0.72 – 0.02) | 0.014*c |
32 | 2 | |||
Number of drug-drug interactions | ||||
0 interactions | 28 | 8 | 0.62 (2.65 – 0.14) | 0.390 |
≥1 interaction | 17 | 3 | ||
>1 disease | 23 | 2 |
a OR – Odds ratio with a 95% confidence interval (CI) b Fisher’s exact test c Chi-square test * statistically significant (p ≤0.05).
TABLE 3: TYPES OF DISORDERS/DISEASES DIAGNOSED
Type of diagnosis | Frequency
n = 86 (%) |
Frequency
n = 56 (%) |
DRPs | OR (CI)a | P value b | |
Yes | No | |||||
Blood disorders (DVT, malaria, thrombocytopenia, pancytopenia, anaemia, septicaemia, haemophilia, sepsis, septic shock) | 30 (34.88%) | 22 (39.29%) | 20 | 2 | 3.60 (18.58 – 0.70) | 0.103 |
Liver disorders (hepatitis, jaundice) | 10 (11.63%) | 9 (16.07%) | 7 | 2 | 0.83 (4.68 - 0.15) | 0.570 |
Fever (viral haemorrhagic fever, viral pyrexia, dengue fever) | 8 (9.30%) | 8 (14.29%) | 6 | 2 | 0.69 (4.01 – 0.12) | 0.497 |
Infectious diseases (HIV, meningitis, UTI) | 8 (9.30%) | 7 (12.50%) | 7 | 0 | 2.46 (21.72 – 0.28)c | 0.196 |
CNS disorders (seizures) | 7 (8.14%) | 6 (10.71%) | 6 | 0 | 2.1 (18.8 – 0.23)c | 0.251 |
Diabetes(DM – 1, DKA) | 6 (6.98%) | 4 (7.14%) | 3 | 1 | 0.71 (7.61 - 0.07) | 0.594 |
Respiratory disorders (pneumonia, pleural effusion) | 3 (3.49%) | 3 (5.36%) | 2 | 1 | 0.47 (5.65 – 0.04) | 0.488 |
Nephrotic disease | 2 (2.33%) | 2 (3.57%) | 1 | 1 | 0.23 (3.95 – 0.01) | 0.357 |
Others d | 12 (13.95%) | 11 (19.64%) | 9 | 2 | 1.13 (6.14 – 0.21) | 0.631 |
a OR – Odds ratio with a 95% confidence interval (CI) b Fisher’s exact test c Haldane-Anscombe correction for odds ratio d menorrhagia, appendicitis, rickets, OP poisoning, grade 3 tonsillitis, global developmental delay (GDD), anxiety, retardation with nocturnal enuresis.
The total number of drugs prescribed was 339 ranging from 1–14 drugs. The mean of drugs prescribed per patient was 6.05, with an SD of 2.56. The maximum number of patients were prescribed six drugs per patient, as shown in Fig. 1.
FIG. 1: DISTRIBUTION OF PATIENTS BASED ON NUMBER OF DRUGS PRESCRIBED PER PATIENT
Classes of drugs and distribution of patients based on classes of drugs prescribed are shown in Table 4. The most common class of drugs that was prescribed was vitamins/minerals/supplements (86 (25.37%)). Antibiotics were prescribed in a majority of patients (43 (76.79%)).
TABLE 4: CLASSES OF DRUGS PRESCRIBED
Classes of drugs prescribed | Frequency
n = 339 (%) |
Frequency
n = 56 (%) |
DRPs | OR (CI)a | P value b | |
Yes | No | |||||
Vitamins /minerals / supplements | 86 (25.37%) | 41 (73.21%) | 33 | 8 | 1.03 (4.54 – 0.23) | 0.619 |
Gastrointestinal drugs | 69 (20.35%) | 42 (75%) | 36 | 6 | 3.33 (13.43 – 0.83) | 0.091 |
Antibiotics | 60 (17.70%) | 43 (76.79%) | 36 | 7 | 2.29 (9.54 – 0.55) | 0.220 |
NSAIDs | 43 (12.68%) | 39 (69.64%) | 33 | 6 | 2.29 (8.91 – 0.59) | 0.196 |
CNS drugs | 14 (4.13%) | 9 (16.07%) | 9 | 0 | 3.24 (28.01 – 0.37)c | 0.117 |
Anti malarial drugs | 8 (2.36%) | 8 (14.29%) | 7 | 1 | 1.84 (16.76 – 0.2) | 0.503 |
Anti coagulant drugs | 7 (2.06%) | 6 (10.71%) | 4 | 2 | 0.44 (2.78 – 0.07) | 0.335 |
Corticosteroids | 7 (2.06%) | 7 (12.05%) | 6 | 1 | 1.54 (14.28 - 0.17) | 0.582 |
Anti histamines | 6 (1.77%) | 6 (10.71%) | 6 | 0 | 2.1 (0.23 – 18.8)c | 0.251 |
Anti diabetic drugs | 5 (1.47%) | 3 (5.36%) | 2 | 1 | 0.47 (5.65 – 0.04) | 0.488 |
ANS drugs | 5 (1.47%) | 4 (7.14%) | 4 | 0 | 1.43 (13.43 – 0.15)c | 0.406 |
Anti-fibrinolytics | 3 (0.88%) | 3 (5.36%) | 3 | 0 | 1.12 (10.94 – 0.11)c | 0.512 |
Other drugs | 20 (5.90%) | 15 (26.79%) | 11 | 4 | 0.57 (2.31 – 0.14) | 0.327 |
a OR – Odds ratio with a 95% confidence interval (CI) b Fisher’s exact test c Haldane-Anscombe correction for odds ratio.
Distribution of drugs based on the route of administration showed that 188 drugs (55%) were administered intravenously (i.v) and 141 drugs (42%) were administered orally (p.o) whereas intramuscular (i.m), subcutaneous (s.c), rectal (p.r), and nasal (nas) route of administrations were in the minority Fig. 2.
FIG. 2: DISTRIBUTION OF DRUGS BASED ON THE ROUTE OF ADMINISTRATION
DRPs were determined based on the classification criteria of PCNE for drug-related problems (V9.1). The primary domains of problems and causes of DRPs, their corresponding codes and sub-codes, and their frequencies and percentages are shown in Table 5 and Table 6 below.
The total number of problems associated with DRPs was found to be 80 and the causes of DRPs were found to be 173. The problem related to DRPs that was most prominent was the effect of treatment not optimal (P1.2) with a total of 34 (42.5%) followed by equal frequencies [17 (21.25%)] of untreated symptoms or indication (P1.3) and unnecessary drug-treatment (P2.1).
The most prominent cause of DRPs was the inappropriate combination of drugs, or drugs and herbal medications, or drugs and dietary supplements (C1.3) with a total of 53 (30.64%) followed by equal frequencies [19 (10.98%)] of inappropriate drug according to guidelines / formulary (C1.1) and no or incomplete drug treatment in spite of existing indication (C1.5).
TABLE 5: PCNE CLASSIFICATION FOR DRUG-RELATED PROBLEMS (V9.1)
Code V9.1 | Sub code | Sub domain | Frequency n = 80 (%) | |
Problems
(also, potential) |
P1 | P1.1 | No effect of drug treatment in spite of correct use | 4 (5%) |
P1.2 | Effect of drug treatment not optimal | 34 (42.5%) | ||
P1.3 | Untreated symptoms or indication | 17 (21.25%) | ||
P2 | P2.1 | Adverse drug event (possibly) occurring | 3 (3.75%) | |
P3 | P3.1 | Unnecessary drug-treatment | 17 (21.25%) | |
P3.2 | Unclear problem/complaint. Further clarification necessary (please use as escape only) | 5 (6.25%) |
TABLE 6: CAUSES OF DRPs AS PER PCNE CLASSIFICATION (V9.1)
Code V9.1 | Sub code | Frequency n = 173 (%) | ||
Causes
(including possible causes for potential problems) |
C1 | C1.1 | Inappropriate drug according to guidelines / formulary | 19 (10.98%) |
C1.2 | No indication for drug | 8 (4.62%) | ||
C1.3 | Inappropriate combination of drugs, or drugs and herbal medications, or drugs and dietary supplements | 53 (30.64%) | ||
C1.4 | Inappropriate duplication of therapeutic group or active ingredient | 11 (6.36%) | ||
C1.5 | No or incomplete drug treatment in spite of existing indication | 19 (10.98%) | ||
C1.6 | Too many different drugs/active ingredients prescribed for indication | 1 (0.58%) | ||
C2 | C2.1 | Inappropriate drug form/formulation (for this patient) | 2 (1.16%) | |
C3 | C3.1 | Drug dose too low | 4 (2.31%) | |
C3.2 | Drug dose of a single active ingredient too high | 15 (8.67%) | ||
C3.3 | Dosage regimen not frequent enough | 4 (2.31%) | ||
C3.4 | Dosage regimen too frequent | 1 (0.58%) | ||
C4 | C4.1 | Duration of treatment too short | 7 (4.05%) | |
C4.2 | Duration of treatment too long | 2 (1.16%) | ||
C5 | C5.2 | Necessary information not provided or incorrect advice provided | 7 (4.05%) | |
C5.3 | Wrong drug, strength or dosage advised (OTC) | 4 (2.31%) | ||
C5.4 | Wrong drug or strength dispensed | 2 (1.16%) | ||
C6 | C6.2 | Drug under-administered by a health professional | 1 (0.58%) | |
C6.4 | Drug not administered at all by a health professional | 1 (0.58%) | ||
C6.5 | Wrong drug administered by a health professional | 1 (0.58%) | ||
C7 | C7.1 | Patient intentionally uses/takes less drug than prescribed or does not take the drug at all for whatever reason | 1 (0.58%) | |
C7.7 | Inappropriate timing or dosing intervals | 1 (0.58%) | ||
C7.10 | Patient unable to understand instructions properly | 5 (2.89%) | ||
C8 | C8.1 | Medication reconciliation problem | 1 (0.58%) | |
C9 | C9.1 | No or inappropriate outcome monitoring (incl. TDM) | 3 (1.73%) |
A mean of 1.43 with an SD of 0.97 DRPs per patient ranging from 0 to 4 DRPs per patient was found. Out of 56 patients, almost one-third of the sample size [17 (30%)] had at least one drug-related problem per patient. Nearing to half the sample size, [22 (39%)] had two DRPs per patient. This indicates that the prevalence of drug-related problems was substantially high in the study area. The number of patients without any DRPs was 11 (20%), whereas patients with three and four DRPs per patient were in the minority Fig. 3.
FIG. 3: NUMBER OF DRUG-RELATED PROBLEMS PER PATIENT
DISCUSSION: In our study, out of 56 patients majority of the patients were children in the age group of >1 year to 12 years which was similar to the data found in previous studies 9, 10, 11. The mean ± SD (standard deviation) for age was 9.3±5.8, which differed from the studies conducted in Ethiopia 9, 11. The maximum number of patients were males whereas, in a study conducted in Ethiopia, the maximum number of patients were females 11. In other studies performed in northeastern Ethiopia and the U.K., and Saudi Arabia, this trend in the gender of patients was similar to our study 9.
The clinical characteristics of the study population showed that most of the patients had no chronic illness with a slightly greater percentage (51.79%) than those who had a chronic illness which differed greatly in the study conducted in northeastern Ethiopia 9. Most of the patients had a past medical history (51.79%) and also had no comorbidities (55.36%). Patients without any past medication history were in the majority (73.21%), which was almost similar to the study conducted in northeastern Ethiopia 9. Each patient was diagnosed by a physician with diseases or disorders ranging from one to four. Most of the pediatric patients were diagnosed with a single disease or disorder with a percentage of 55.36%, which was similar to the data obtained in a study at a referral hospital in Ethiopia 11. The number of drugs prescribed varied between ≤5 drugs or ≥6 drugs per patient, with the majority of the pediatric patients, prescribed with ≥6 drugs with a percentage of 60.71% differing from the study in Ethiopia 11 but similar to other studies performed in northeastern Ethiopia and Hong Kong 9, 10. Each prescription was evaluated to detect possible drug-drug interactions using an online database like Micromedex 2.0. The analysis showed no drug-drug interactions in the majority of the prescriptions accounting for about 64.29%, and the remaining had ≥1 interaction (35.71%).
The previous study at a referral hospital in Ethiopia showed differing results. In contrast, other studies in northeastern Ethiopia and Hong Kong showed a decreased percentage of drug-drug interactions similar to our study 9, 10. A total of 86 diagnoses were identified in our study. The most prominent type of diagnosis was blood disorders accounting for about 34.88% of the total number of diseases/disorders diagnosed and 39.29% of the total number of pediatric patients. These results varied from those in other studies 9, 10, 11. Three hundred thirty-nine drugs were the total number of prescribed drugs with a mean ± SD of 6.05 ± 2.56 ranging from 1 – 14 drugs that differed from the results of studies in Ethiopia 9, 11. The most frequently prescribed class of drugs were vitamins/minerals/supplements with 25.37% of the total number of drugs. Antibiotics were the most commonly prescribed drug class with 76.79% of the total number of pediatric patients, which was similar to the study in northeastern Ethiopia 9. Antibiotics were also the most frequently involved class of drugs and gastrointestinal drugs [36 (64.2%)] with DRPs. Antibiotics were frequently involved in DRPs in other studies 9, 11 and contrasting results were found in a study in Hong Kong 10. The distribution of drugs based on the route of administration showed that the drugs were majorly administered intravenously (55.46%) followed by orally (41.59%). Patients without any DRPs to a maximum of four DRPs were identified, out of which 19.64% patients were without DRPs, 30.36% patients had only one DRP each and 39.29% patients had two DRPs each. This trend was less than that found in a former study 9. The northeastern Ethiopia and Hong Kong studies showed varying results 9, 10.
The incidence of DRPs in this study was considerably high, with 80.35% in the study area, similar to the former study 9 and comparable to other studies 10, 11. A mean of 1.43 DRPs per patient was identified, lower than the mean found in another study 9. A total number of 80 DRPs were found similar to earlier study 10 and higher in other studies 9, 11. The most common problem found was the effect of treatment not optimal, followed by untreated symptoms or indications and unnecessary drug treatment. One hundred seventy-three causes of DRPs were found greater than the causes found in a previous study 10.
Inappropriate combination of drugs, or drugs and herbal medications, or drugs and dietary supplements was the most common cause of DRP followed by the wrong drug according to guidelines/formulary and no or incomplete drug treatment despite existing indication. These results differed from almost all the previous studies evaluated in this study 9-11. Several reasons and risk factors are involved in the occurrence of DRPs among pediatric patients. To prevent and control DRPs in individual patients, it is important to detect these risk factors 12. Potential risk factors for the occurrence of DRPs, such as the number of drugs prescribed, were found statistically significant (p = 0.014), similar to the results in previous studies 10, 11.
The number of diseases diagnosed per patient was also a statistically significant potential risk factor (p = 0.049), similar to the findings shown in a prior study 11. Other potential risk factors such as comorbidities (p = 0.049) were also found statistically significant, comparable to former studies where certain infectious and parasitic diseases and type of admission were the potential risk factors for the occurrence of DRPs 10. Several studies ascertained the important role of clinical pharmacists in determining and preventing DRPs and emphasized a need for a reporting system of DRPs and interventions to provide effective treatment in hospitals 2, 4, 7, 11, 12, 13.
CONCLUSION: The present study revealed that almost half of the sample size had two DRPs each, implying a significantly high incidence of DRPs in the study area. The number of drugs prescribed, the presence of comorbidities, and the number of diseases diagnosed per patient have been ascertained as important risk factors of DRPs. Pediatrics being a special population, requires mandatory checking of DRPs from time to time to avoid any detrimental effects/consequences. Therefore, it is the role and responsibility of clinical pharmacists to monitor and make necessary amendments to the therapeutic plan to provide quality patient care. Hence, a better understanding of DRPs in the study area was established, thereby facilitating a decrease in drug-related mortality and morbidity of pediatric patients, expanding the existing body of data and emphasizing a need for a mandatory system to report DRPs by the clinical pharmacists and thus determining the substantial role of clinical pharmacists.
ACKNOWLEDGEMENT: I would like to give my special thank you to my study participants for their assistance and participation in the study. I would like to thank the health care professionals and staff of the hospital for assisting in patient data collection.
CONFLICTS OF INTEREST: The authors declare no conflicts of interest.
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How to cite this article:
Shereen S and Hussainy SA: A prospective observational study on drug-related problems and potential risk factors in pediatric patients of tertiary care hospital. Int J Pharm Sci & Res 2022; 13(7): 2935-43. doi: 10.13040/IJPSR.0975-8232.13(7).2935-43.
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IJPSR
Shaima Shereen * and Syed Areefulla Hussainy
Department of Pharmacy Practice, MESCO College of Pharmacy, Mustaidpura, Karwan Road, Hyderabad, Telangana, India.
shaima.shereen404@gmail.com
24 October 2021
08 December 2021
06 January 2022
10.13040/IJPSR.0975-8232.13(7).2935-43
01 July 2022