To Identify the Prevalence, Risk Factors Associated with Pediatric Diseases and their Treatment Pattern in a Tertiary Care Hospital


Department of Pharmaceutical Chemistry, Ratnam Institute of Pharmacy, Pidathapolur (V), Muthukur (M), SPSR Nellore - 524 346, Andhra Pradesh, India
Department of Pharmacy Practice, Ratnam Institute of Pharmacy, Pidathapolur (V), Muthukur (M), SPSR Nellore - 524 346, Andhra Pradesh, India, 7780697801

Abstract

The study aimed to identify the prevalence and risk factors associated with pediatric diseases and their treatment pattern in a tertiary care hospital. The study's objectives include evaluating the recruited patients' socio-demographic details, identifying the prevalence and risk factors for pediatric diseases, determining the diagnostic test for pediatric diseases, and evaluating the prescribing pattern of drugs in managing pediatric diseases. The present study revealed that the majority of the pediatric patients admitted with pneumonia had a good treatment outcome. Patients treated with antibiotics showed a better treatment outcome than patients treated with crystalline penicillin alone. Longer duration of hospital stay was more likely associated with poor prognosis. Therefore, particular consideration should be given to children needing other interventions. In this reading, Amoxycillin was recommended as the first-line treatment with simple pneumonia and third-generation cephalosporin for those with severe/very severe pneumonia in the health center setups. To rationalize antibiotic prescription, adherence to WHO standard case-management protocols is recommended. The proper design of antibiotic guidelines should use a consistent grading system for the quality of evidence and strength of recommendations and seek the stakeholders' preference to improve the guidelines' applicability to minimize the occurrence.

Keywords

Prevalence, Risk Factors, Pediatric Diseases, Tertiary Care

Introduction

Significant causes of death among children vary by age. Children under 5 are especially vulnerable to infectious diseases like malaria, pneumonia, diarrhea, HIV, and tuberculosis. For older children, non-communicable diseases, injuries, and conflict pose significant threats 1. We support countries to strengthen primary health care systems – especially at the community level, and combat common infectious diseases such as malaria, pneumonia, diarrhea, HIV, and tuberculosis. In the late twentieth century, substantial reductions in child mortality occurred in low- and middle-income countries. The fall in child deaths during 1960–90 averaged 2.5% per year, and the risk of dying in the first five years of life halved – a significant achievement in child survival. Preventive measures against malaria require-public–private cooperation. They include netting the windows and other open channels and environmental management of stagnant water to remove mosquito breeding sites 2. To kill developing mosquito larvae, breeding sites should be drained, larvae-eating fish can be introduced, and organic oils such as kerosene can be spilled onto stagnant water reservoirs. Recent and historical evidence suggests that drinking and irrigation water reservoir management can significantly decrease mosquito population densities 3.

Methodology

This prospective study was performed for six months. The study was conducted in the pediatrics department of a tertiary care hospital. A written informed consent form was obtained from the patient's guardians. A sample size of 295 patients was enrolled in the study 4.

Study Design

It will be a Prospective observational study 5.

Study Period

The Present study was conducted for a period of six months, from July 2021 to December 2021.

Study Site

The Present study was conducted in the pediatrics department.

Sample Size

It was 295 Patients.

Type of Study Patients

Outpatients.

Inclusion Criteria

  • Patients with an age of more than 18 years.

  • Patients who are willing to participate in the study.

  • Patients diagnosed with various pediatric infections 6.

Exclusion Criteria

  • Patients who are not willing to give consent.

  • Pregnancy.

  • Cognitive impairment.

  • Patients with improper diagnosis details.

  • Lactation 7.

Institutional Ethics Committee (IEC) Consideration

The research protocol was prepared and submitted to the ethical committee. The institutional ethical committee clearance was obtained from the institutional human ethics committee permitted to perform the research in the general medicine department 8.

Patient Data Collection and Management

The patient data collection form was created with the physician's assistance, teaching pharmacy practice faculty to collect the data from medication charts. The data collection tool includes information about age, sex, past medical history, and treatment. The information about drug details, dose and frequency of administration, and therapy duration was collected from the treatment chart 9.

Statistical Analysis

SPSS software was used for analysis, and measurement data are expressed as the mean ± standard deviation. Measurement data are expressed as a percentage; the χ2 test compared sample rates. P<0.05 was considered to indicate a statistically significant difference 10.

Results and Discussion

The study was carried out for six months in a tertiary care hospital pediatric department. A total of 295 patients were enrolled in the study.

Table 1: Age of the Child

S.No

Age

Total N= 295

Percentage (%)

1

One month – 4 months

76

25.76

2

Five months to 1 year

87

29.49

3

1.5 years to 2 years

64

21.69

4

2.5 years to 3 years

22

7.45

5

Four years to 4.5 years

46

15.59

Total

295

Table 2: Gender of the Child

S.No

Gender

Total N= 295

Percentage (%)

1

Male

127

43.05

2

Female

168

56.94

Total

295

Table 3: Education of the Mothers

S.no

Education

Total N= 295

Percentage (%)

1

Diploma

198

67.11

2

Graduate

52

17.62

3

Postgraduate

45

15.25

Total

295

Table 4: Family Status

S.no

Family Status

Total N= 295

Percentage (%)

1

Joint

238

80.67

2

Nuclear

57

19.32

Total

295

Table 5: Family Members

S.no

Family Members

Total N= 295

Percentage (%)

1

1-3

85

28.81

2

4-5

93

31.52

3

6-9

117

39.66

Total

295

Table 6: Monthly Income

S.no

Monthly Income

Total N= 295

Percentage (%)

1

15,000

175

59.32

2

16,000-25,000

85

28.81

3

26,000-35,000

35

11.86

Total

295

Table 7: Occupation of the Mothers

S.no

Occupation

Total N= 295

Percentage (%)

1

Housewife

78

26.44

2

Farmer

92

31.18

3

Teacher

100

33.89

4

Lawyer

25

8.47

Total

295

Table 8: Locality Status-Wise Distribution

S.no

Locality Status

Total N= 295

Percentage (%)

1

Urban

197

66.77

2

Rural

98

33.22

Total

295

Table 9: Number of Drugs Prescribed Per Prescription

S.No

Number of Drugs

Total N= 295

Percentage (%)

1

Two

78

26.44

2

Three

68

23.05

3

Four

72

24.40

4

Five

77

26.10

Total

295

Table 10: Number of Dosage Forms Prescribed Per Prescription

S.No

Dosage Form

Total N= 295

Percentage (%)

1

Injection

71

24.06

2

Syrup

69

23.38

3

Tablet

100

33.89

4

Suppository

55

18.64

Total

295

Table 11: Number of Antibiotics Prescribed

S.No

Antibiotics

Total N= 295

Percentage (%)

1

Ceftriaxone

10

3.38

2

Pantoprazole

29

9.83

3

Amikacin

41

13.89

4

Citrine

28

9.49

5

Chloroquine

63

21.35

6

Ofloxacin

19

6.44

7

Diclofenac

38

12.88

8

Platelet therapy

21

7.11

9

Permethrin cream

30

1.016

10

Tinidazole

16

5.42

Total

295

Table 12: Categories of Pediatric Infections

S.No

Infections

Total N= 295

Percentage (%)

1

Dermatology infections

18

6.101

2

Respiratory tract infections

17

5.82

3

Gastrointestinal infections

25

8.47

4

Urinary tract infections

22

7.45

5

Ear infections

31

10.50

6

Nose infections

30

10.16

7

Throat infection

24

8.13

8

Malaria

26

8.81

9

Typhoid

28

9.49

10

Dengue

74

25.08

Total

295

Table 13: Laboratory Test

S.No

Antibiotics

Total N= 295

Percentage (%)

1

Blood test

126

42.71

2

Typhoid test

45

15.25

3

Malaria test

36

12.20

4

Dengue test

20

6.77

5

Biopsy

19

6.44

6

Urine culture

49

16.61

Total

295

Table 14: Combination of Antibiotics Prescribed

S.No

Antibiotics

Total N= 295

Percentage (%)

1

Amoxicillin+Clavulanic acid

49

16.61

2

Piperacillin + Tazobactum

111

37.62

3

Ofloxacin+Cefixime

108

36.61

4

Cefixime+Linezolid

27

9.15

Total

295

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Figure 1: Age

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Figure 2: Gender

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Figure 3: Education of the Mothers

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Figure 4: Family Status

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Figure 5: Family Members

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Figure 6: Monthly Income

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Figure 7: Occupation of the Mothers

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Figure 8: Locality Status

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Figure 9: Number of Drugs Prescribed

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Figure 10: Number of Dosage Forms

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Figure 11: Number of Antibiotics Prescribed

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Figure 12: Categories of Infections

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Figure 13: Laboratory Test

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Figure 14: Combination of Antibiotics Prescribed

The age-wise distribution of patients includes 105 enrolled in the study. The age-wise distribution of the study patients had 76 (25.76%) patients in the age group of 1 month -4 months, 87 (29.49 %) patients in the age group of 5 months to 1 year, 64 (21.69 %) patients in the age group of 1.5 years to 2 years, 22 (7.45 %) patients were in the age group of 2.5 years to 3 years, 16 ( 15.59 %) patients were in the age group of 4 years to 4.5 years [Table 1 and Figure 1]. A total of 295 patients were selected for the study. The male patients were 127 (43.05%), and the female patients were 168 (56.94%) [Table 2 and Figure 2]. Diploma education qualification was 198 (67.11%), Graduate education qualification was 52 (17.62%), and Postgraduate education qualification was 45 (15.25%) [Table 3 and Figure 3]. The study participants' family status includes joint family (238 (80.67%) and nuclear family 57 (19.32%) [Table 4 and Figure 4]. Family members of study participants include 1-3 family members were 85 (28.81%), 4-5 family members 93 (31.52%), and 6-9 family members were 117 (39.66%) [Table 5 and Figure 5]. The monthly income of study participants included 15,000 income subjects 175 (59.32%), 16,000-25,000 income subjects 85 (28.81%), and 26,000-35,000 income subjects 35 (11.86%) [Table 6 and Figure 6]. Occupation of study subjects included Housewife occupation 78 (26.44%), Farmer occupation was 92 (31.18%), Teacher occupation was 100 (33.89%), and Lawyer occupation was 25 (8.47%) [Table 7 and Figure 7]. The Locality status of the patients included 197 (66.77%) patients who belonged to the urban locality and 98 (33.22%) patients who belonged to the rural locality [Table 8 and Figure 8].

The Number of drugs prescribed medications per prescription includes two medicines prescribed to patients at 78 (26.44%), three drugs prescribed to patients were 68 (23.05%), four medicines prescribed to patients were 72(24.40%), five medications prescribed to patients were 77 (26.10%) [Table 9 and Figure 9]. The Number of Dosage Forms prescribed per prescription includes injection dosage forms prescribed to patients 71(24.06%), syrup dosage forms prescribed to patients 69 (23.38%), tablet dosage forms specified patients were 100 (33.89%), suppository dosage forms prescribed patients were 55 (18.64%) [Table 10 and Figure 10]. Ceftriaxone-prescribed patients were 10 (3.38%), Pantoprazole prescribed patients were 29 (9.83%), Amikacin stipulated patients were 41 (13.89%), Citrizine specified patients were 28 (9.49%), Chloroquine-prescribed-patients were 63 (21.35%), Ofloxacin prescribed patients were 19 (6.44%), Diclofenac prescribed patients were 38 (12.88%), Platelet therapy prescribed patients were 21 (7.11%), Permethrin cream prescribed patients were 30 (1.016%), Tinidazole prescribed patients were 16 (5.42%) [Table 11 and Figure 11].

The various categories of pediatric Infections include Dermatology infections patients 18 (6.101%), Respiratory tract infections patients 17 (5.82%), Gastrointestinal infections patients 25(8.47%), Urinary tract infections patients 22 (7.45%), Ear infections patients 31 (10.50%), Nose infections patients were 30 (10.16%), Throat infection patients were 24 (8.13%), Malaria patients were 26 (8.81%), Typhoid patients were 28 (9.49%), Dengue patients were 74 (25.08%) [Table 12 and Figure 12]. It includes blood test patients, 126 (42.71%); typhoid test patients, 45 (15.25%); malaria test forty-five thousand eight hundred ninety-six patients, 36 (12.20%); dengue test patients, 20 (6.77%); biopsy patients, 19 (6.44%), Urine culture patients, 49 (16.61%) [Table 13 and Figure 13]. The combination of antibiotics includes Amoxicillin+Clavulanic acid prescribed patients were 49 (16.61%), Piperacillin + Tazobactum prescribed patients were 111 (37.62%), Ofloxacin+Cefixime specified patients were 108 (36.61%), Cefixime+Linezolid s2+9*+-6tipulated patients were 27 (9.15%) [Table 14 and Figure 14].

Discussion

The age group of 5 months to 1-year patients was more than 87 (29.49 %) compared to other ages.

Female patients were more 168 (56.94%) than males. Diploma education qualification was more than 198 (67.11%) compared to other educational qualifications. The joint family was more than 238 (80.67%) compared to the nuclear family. In our study 6-9 family members were more 117 (39.66%) than other family members.

In our monthly study income of study participants, 15,000 income subjects were more than 175 (59.32%) compared to another category of payments. Teacher occupations were more than 100 (33.89%) compared to other works. Urban locality patients were more 197 (66.77%) compared to the rural category of patients. Two drugs prescribed patients were more 78 (26.44%) compared to other prescribed medications. Tablet dosage forms prescribed to patients were more than 100 (33.89%) compared to different prescribed drug formulations. Chloroquine-prescribed patients were more 63 (21.35%) than other antibiotics. Dengue patients were more 74 (25.08%) than other diagnosed cases. Blood test referred patients were more than 126 (42.71%) compared to other lab tests. Piperacillin + Tazobactum prescribed patients were more 111 (37.62%) than different antibiotic drug combinations.

Conclusion

The present study revealed that most pediatric patients admitted with pneumonia had a good treatment outcome. Patients treated with antibiotics showed a better treatment outcome than patients treated with crystalline penicillin alone. Longer duration of hospital stay was more likely associated with poor prognosis. Therefore, particular consideration should be given to children in need of other interventions.

Acknowledgement

I want to thank my esteemed Management & Principal (Sreenivasulu M), Department of Pharmaceutical Chemistry, Ratnam Institute of Pharmacy, Pidathapolur (V), Muthukur (M) SPSR Nellore-524 346, Andhra Pradesh, India.

Funding Support

The authors declare that they have no funding for this study.

Conflict of Interest

The authors declare no conflict of interest, financial or otherwise.