Abstract
This study aims to assess the prevalence and antibiotic-treatment patterns of respiratory tract infections (RTIs), prevalence and types of antibiotic-prescribing errors, and the cost of inappropriate antibiotic use among emergency department (ED) patients. A cross-sectional study was conducted at the ED in King Abdulaziz Medical City, Riyadh, Saudi Arabia. Patient characteristics (age, sex, weight, allergies, diagnostic tests (CX-Ray), cultures, microorganism types, and prescription characteristics) were studied. During the study, 3185 cases were diagnosed with RTIs: adults (>15 years) 55% and pediatrics (<15 years) 44%. The overall prevalence of RTIs was 21%, differentiated by upper respiratory tract infections (URTI) and lower respiratory tract infections (LRTI) (URTI 13.4%; LRTI 8.4%), of total visits. Three main antibiotics (ATB) categories were prescribed in both age groups: penicillin (pediatrics 43%; adults 26%), cephalosporin (pediatrics 29%; adults 19%), and macrolide (pediatrics 26%; adults 38%). The prevalence of inappropriate ATB prescriptions was 53% (pediatrics 35%; adults 67%). Errors in ATB included selection (3.3%), dosage (22%), frequency (3%), and duration (32%). There is a compelling need to create antimicrobial stewardship (AMS) programs to improve antibiotic use due to the high number of prescriptions in the ED deemed as inappropriate. This will help to prevent unwanted consequences on the patients and the community associated with antibiotic use.
Keywords: respiratory tract infections, antibiotics, appropriate prescribing, cost, emergency department, acute respiratory tract infections
1. Introduction
Any infectious disease affecting the upper or lower respiratory tract is referred to as a respiratory tract infection (RTI) [1]. The common cold, laryngitis, pharyngitis/tonsillitis, acute rhinitis, acute rhinosinusitis, and acute otitis media are considered upper respiratory tract infections (URTIs). This includes pediatric, adult, and elderly patients, as well as all subpopulations and both genders [2,3,4]. Frequently, antibiotics are prescribed for RTIs in the emergency department (ED) [5]. Despite RTIs being caused by self-limiting viral illnesses, these infections can cause significant morbidity and, very rarely, mortality. As such, early diagnosis and effective treatment can lower morbidity and substantially overcome mortality.
One of the primary causes of the emergence of antimicrobial resistance (AMR) is excessive and inappropriate use of antibiotics [6,7,8]. Approximately 50% are prescribed for ARTIs against recommended use [2,3,4,7,8]; thus, guidelines have discouraged this practice [2,9]. Inappropriate antibiotic prescriptions lead to an increase in medical care costs [10], encouraging patients to seek further medical attention for the resulting respiratory diseases [11,12]. Patients on antibiotics for a sore throat often visit the hospital again for treatment [12]. This increased use of services creates needless healthcare costs. The cost of antibiotic prescriptions in 2009 was USD 6.5 billion [12].
Only limited success has been achieved in lowering the prescription rate of antibiotics. One explanation could be that physicians’ prescribing rates differ in ways that are not justified by patient factors [13,14,15,16,17]. AMR can be controlled by using antibiotics appropriately. Expenses associated with morbidity and mortality are one aspect of the economic burden with inappropriate treatment. Most ARTI cases are treated with antibiotic therapy; as such, the chosen antibiotic must be effective, safe, and cost-effective. The purpose of this study was to evaluate the prevalence and patterns of antibiotic use for ARTIs among the Saudi population, including the frequency and antibiotic prescription errors, as well as the financial impact of improper antibiotic use.
2. Methods
2.1. Study Design
This was a retrospective cross-sectional study conducted in the ED of King Abdulaziz Medical City (KAMC), Riyadh, Saudi Arabia, by reviewing patient charts for those in the ED complaining of ARTIs over six months, from January to June 2021.
2.2. Study Setting
This study was conducted in the ED of KAMC, a 1505-bed university-affiliated tertiary care center, accredited by the Joint Commission International.
2.3. Study Population
All patients admitted to the ED for ARTI during the first half of the year of 2021 were enrolled in the study. As stated, RTIs included URTIs and LRTIs. Patients were classified as pediatric, adult, or elderly: those under 15 years as “pediatric,” those 15–64 years as ‘‘adults,’’ while those 65 or more as ‘‘elders’’ or ‘‘older adults.’’ Pediatric cases were classified into less than 2 years, 2 through 6 years, and 7 through 15 years. These operational definitions were adopted as they were used in similar studies [18,19].
2.4. Data Collection
The following data were reviewed during ED visits in the study. Patient characteristics were demographic data, number of visits to the ED in 6 months, and health status. Antibiotic traits included name and category (i.e., penicillin, cephalosporin, macrolide, and fluoroquinolones), dose, frequency, duration of antibiotic therapy, and cost. Microbiology characteristics included type of culture collected, e.g., sputum/throat/nasal, results of culture (positive or negative), and the identified microorganism.
2.5. Outcome Characteristics
There were three study outcomes: effectiveness of antibiotics for treatment of ARTIs measured by recurrent visits to the ED, infections during the study period, inappropriateness of antibiotic treatment, and cost analysis. Inappropriateness of antibiotic treatment included errors in selection, dosage, frequency, and duration. Therefore, it is defined as selection of an antibiotic that is neither the drug of choice nor the alternative drug indicated, or an inappropriate dose, frequency between doses, or duration of treatment. Inappropriate dose was more or less than the recommended daily amount of the antibiotic. Inappropriate frequency was more or less than recommended. Inappropriate duration was shorter or longer than recommended. For inappropriate dose and duration, variability of ±5% was acceptable between the prescribed and recommended dose and duration; variation beyond this margin was identified as inappropriate. Each antibiotic prescription was evaluated per guidelines of the AHFS Drug Information from the American Society of Health System Pharmacists and the Drug Information Handbook: A Comprehensive Resource for All Clinicians and Healthcare Professionals [20,21].
2.6. Estimates of Treatment Cost
Only costs charged in the ED were considered for patients admitted and discharged from that unit. The total direct cost to the hospital for treatment of URTIs was analyzed. Indirect costs, such as those associated with sickness, were not included. Treatment costs did not involve medical equipment used. US dollars were used to calculate study costs. Direct treatment costs included physicians’ fees, diagnostic tests (for RTIs), and prescription drugs (antibiotics only included and over-the-counter drugs were not considered). Prescription drugs were generally free for patients.
2.7. Data Management and Analysis
SPSS Statistical Software (v. 22; SPSS Inc., Chicago, IL, USA) was used for data entry and analysis. Bivariate analysis using Pearson’s chi-square test (χ2) was carried out for categorical data such as age, sex, and drug. Inappropriate antibiotic prescriptions were determined as the number of physician orders with one or more types of errors divided by the total number of prescriptions multiplied by 100. The prevalence of errors (selection, dose, frequency, and duration) was deemed discordant by dividing the number of errors into the number of antibiotic prescriptions, then multiplying by 100. For cost, data were summarized as mean ± SD or median (range) for continuous variables, with numbers and percentages for categorical variables when appropriate: χ2 was used for these variables. For all statistical tests, a value of p < 0.05 was statistically significant.
2.8. Ethical Issues
This study was approved by the Research Committee of King Abdullah International Medical Research Center (KAIMRC), King Saud Bin-Abdulaziz University for Health Sciences (NRC22R/460/09). Patient informed consent to review their medical files was not required and waived by the Research Committee: this was a retrospective study without communication with patients. Patients’ privacy and data confidentiality were secured by the principal investigator.
3. Results
General Characteristics and Prevalence of RTIs
The overall prevalence of ARTI was 21.8% of total visits to the ED (Table 1). There were 3185 patients admitted to the ED for ARTI, both pediatric (1428, 44.8%) and adults (1757, 55.2%). Males and females represented 51.1% and 48.9%, respectively. During the study period, 981 out of 1428 (68.7%) of pediatric cases complained of URTI, while 447 out of 1428 complained of LRTI. The highest age group of pediatric cases with URTIs was 2 to 6 years, followed by 7 to 14 years, and lastly less than 2 years. The highest age group of pediatric cases with LTRIs was 2 to 6 years, followed by less than 2 years, and lastly 7 to 14 years. The cultures were ordered for 401 (12.6%) of patients, among which 132, 15, 31, and 223 presented with throat, sputum, nasopharyngeal, and other infections. The result of culture was as follows: 56 out of 401 (14%) were positive and 345 out 401 (86%) were negative. Group A streptococcus represented 32 of 56, respiratory syncytial virus (RSV) represented 15 of 56, while Streptococcus pneumoniae represented 2 of 56, and Group C streptococcus represented 4 of 56. Most patients (79.8%) had one course of antibiotics during the study, followed by 16% with two courses, and 3.9% with three courses. In Table 1 and Figure 1 and Figure 2, penicillin (pediatrics 43%, adults 26%), cephalosporin (pediatrics 29%, adults 19%), and macrolide (pediatrics 26%, adults 38%) were the three main ATBs prescribed for both age groups. There were significant differences in each of the three categories, with p values at 0.001, 0.001, and 0.010, respectively. Most patients were given broad-spectrum antibiotics (73.2%).
Table 1.
Bivariate analysis of patient characteristics and antibiotic prescriptions compared by age groups.
| Characteristics | Sample N (%) n = 3185 |
Less Than 2 Years n (%) 349 (11) |
2 to 6 Years n (%) 632 (19.8) |
7 to 14 Years n (%) 447 (14) |
15 to 59 Years n (%) 1305 (41) |
≥60 Years n (%) 452 (14.2) |
χ2, p-Value |
|---|---|---|---|---|---|---|---|
| Sex | χ2 = 60.433, p < 0.000 | ||||||
| Male | 1629 (51.1) | 199 (57) | 367 (58.1) | 271 (60.6) | 577 (44.2) | 215 (47.6) | |
| Female | 1556 (48.9) | 150 (43) | 265 (41.9) | 176 (39.4) | 728 (55.8) | 237 (52.4) | |
| Health Status | χ2 = 567.8, p < 0.000 | ||||||
| Healthy | 2526 (79.3) | 349 (100) | 631 (99.8) | 406 (90.8) | 902 (69.1) | 238 (52.7) | |
| Non healthy | 659 (20.7) | 0 | 1 (0.2) | 41 (9.2) | 403 (30.9) | 214 (47.3) | |
| Diagnosis | χ2 = 443.45, p < 0.000 | ||||||
| URTI | 1953 (61.3) | 171 (49) | 449 (71) | 361 (80.8) | 876 (67.1) | 96 (21.2) | |
| LRTI | 1232 (38.7) | 178 (51) | 183 (29) | 86 (19.2) | 429 (32.9) | 356 (78.8) | |
| Request Culture at ED | χ2=123.8, p < 0.000 | ||||||
| Yes | 401 (12.6) | 87 (24.9) | 120 (19) | 63 (14.1) | 79 (6.1) | 52 (11.5) | |
| No | 2784 (87.4) | 262 (75.1) | 512 (81) | 384 (85.9) | 1226 (93.9) | 400 (88.5) | |
| Result of Culture | χ2 = 136.89, p < 0.000 | ||||||
| Positive | 56 (14) | 19 (21.8) | 15 (12.5) | 11 (17.4) | 8 (10.1) | 3 (5.8) | |
| Negative | 345 (86) | 68 (78.1) | 105 (87.5) | 52 (82.5) | 71 (89.9) | 49 (94.2) | |
| No. of Antibiotics within 3 Months | |||||||
| 1 | 2534 (79.6) | 285 (81.7) | 519 (82.1) | 406 (90.8) | 1029 (78.9) | 295 (65.3) | χ2 = 152.7, p < 0.000 |
| 2 | 525 (16) | 55 (15.8) | 107 (16.9) | 37 (8.3) | 208 (15.9) | 118 (26.1) | |
| 3 | 126 (3.9) | 9 (2.6) | 6 (0.9) | 4 (0.9) | 68 (5.3) | 39 (8.6) | |
| Antibiotic Group | χ2 = 666.9, p < 0.000 | ||||||
| Penicillin | 1090 (34.2) | 120 (34.4) | 297 (47) | 210 (74) | 415 (31.8) | 48 (10.6) | |
| Cephalosporin | 757 (23.8) | 148 (42.4) | 186 (29.4) | 85 (19) | 233 (17.9) | 105 (23.2) | |
| Macrolide | 1049 (32.9) | 81 (23.2) | 149 (23.6) | 144 (32.2) | 526 (40.3) | 149 (33) | |
| Quinolone | 288 (9) | - | - | 8 (1.8) | 131 (10) | 149 (33) | |
| Antibiotic Spectrum | χ2 = 37.36, p < 0.000 | ||||||
| Broad | 2330 (73.2) | 263 (75.4) | 466 (73.7) | 334 (74.7) | 989 (75.8) | 278 (61.5) | |
| Narrow | 855 (26.8) | 86 (24.6) | 166 (26.3) | 113 (25.3) | 316 (24.2) | 174 (38.5) | |
| Type of Treatment | χ2 = 212.004, p < 0.000 | ||||||
| Single antibiotics | 3033 (95.2) | 345 (98.9) | 628 (99.4) | 441 (98.7) | 1247 (95.6) | 372 (82.3) | |
| Combination of antibiotics | 152 (4.8) | 4 (1.1) | 4 (0.6) | 6 (1.3) | 58 (4.4) | 80 (17.7) | |
Abbreviations: χ2, Pearson chi-square test; URTI, upper respiratory tract infection; LRTI, lower respiratory tract infection; ED, emergency department.
Figure 1.
Distribution of antibiotics prescribed in different age groups by diagnosis.
Figure 2.
Distribution of antibiotics prescribed by age category.
4. Clinical Outcomes
During the study period, 81.5% had one episode of infection and completely recovered (Table 2). As presented in Table 2, 53% of antibiotics (pediatrics 35% and adults 67%) were prescribed inappropriately, where error in dosing represented 22.1%, error in frequency represented 3.7%, error in duration represented 32.2%, and error in selection represented 3.3%. In pediatrics, dosage and duration errors were predominant (p < 0.001 and p < 0.0001, respectively), while in the adults, error in selection was significantly higher (p = 0.001).
Table 2.
Outcome of treatment for respiratory tract infections.
| Characteristics | Sample n (%) n = 3185 |
Less Than 2 Years n (%) 349 (11) |
2 to 6 Years n (%) 632 (19.8) |
7 to 14 Years n (%) 447 (14) |
15 to 59 Years n (%) 1305 (41) |
≥60 Years n (%) 452 (14.2) |
χ2, p-Value |
|---|---|---|---|---|---|---|---|
| Effectiveness of Antibiotics | χ2 = 27.883, p < 0.000 | ||||||
| Complete recovery | 2597 (81.5) | 283 (81.1) | 512 (81) | 401 (89.7) | 1055 (80.8) | 346 (76.5) | |
| Recurrent infection | 588 (18.5) | 66 (18.9) | 120 (19) | 46 (10.3) | 250 (19.2) | 106 (23.5) | |
| Frequency of Episodes in 3 Months | χ2 = 83.955, p = 0.000 | ||||||
| Once | 2597 (81.5) | 283 (81.1) | 512 (81) | 401 (89.7) | 1055 (80.8) | 346 (76.5) | |
| Twice | 466 (14.6) | 51 (14.6) | 110 (17.4) | 40 (8.9) | 187 (14.3) | 78 (17.3) | |
| Three | 83 (2.3) | 15 (4.3) | 10 (1.6) | 6 (1.3) | 28 (2.1) | 24 (5.3) | |
| Three or more | 39 (1.2) | 0 | 0 | 0 | 35 (2.7) | 4 (0.9) | |
| Appropriate Prescribing of Antibiotics | |||||||
| Inappropriate | 1689 (53) | 109 (31.2) | 187 (29.6) | 203 (45.4) | 887 (68) | 303 (67) | χ2 = 368,936, p < 0.000 |
| Type of Error | |||||||
| Dose error | 705 (22.1) | 171 (49) | 313 (49.5) | 116 (26) | 70 (5.4) | 35 (7.7) | χ2 = 692.269, p < 0.000 |
| High dose | 317 (10) | 63 (18.1) | 119 (18.8) | 44 (9.8) | 58 (4.4) | 33 (7.3) | |
| Low dose | 145 (4.6) | 44 (12.6) | 58 (9.2) | 30 (6.7) | 12 (0.9) | 2 (0.4) | |
| Other | 242 (7.6) | 64 (18.3) | 136 (21.5) | 42 (9.4) | 0 | 0 | |
| Frequency error | 117 (3.7) | 22 (6.3) | 13 (2.1) | 11 (2.5) | 50 (3.8) | 21 (4.6) | χ2 = 23.836 p < 0.002 |
| High frequency | 86 (2.7) | 14 (4) | 10 (1.6) | 8 (1.8) | 34 (2.6) | 20 (4.4) | |
| Low frequency | 31 (1) | 8 (2.3) | 3 (0.5) | 3 (0.7) | 16 (1.2) | 1 (0.2) | |
| Duration error | 1027 (32.2) | 135 (38.7) | 268 (42.4) | 186 (41.2) | 341 (26.1) | 99 (21.9) | χ2 = 97.216 p = 0.000 |
| Long | 61 (1.9) | 2 (0.6) | 35 (5.5) | 8 (1.8) | 12 (0.9) | 4 (0.9) | |
| Short | 700 (22) | 118 (33.8) | 171 (27.1) | 125 (28) | 243 (18.6) | 43 (9.5) | |
| Other | 266 (8.4) | 15 (4.3) | 62 (9.8) | 51 (11.4) | 86 (6.6) | 52 (11.5) | |
| Selection error | 9 (3.3) | 19 (2.2) | 7 (2.2) | 35 (2.4) | |||
| Cost Analysis | |||||||
| Mean ± SD | 121.34 ± 34.972 | 122.45 ± 37.601 | 115.13 ± 31.704 | 114.12 ± 30.559 | 117.92 ± 32.508 | 146.17 ± 37.418 | |
| p value | <0.0001 | ||||||
| 95% CI | 118.49–126.41 | 112.65–117.61 | 111.28–116.96 | 116.16–119.69 | 116.16–119.69 | 121.34–34.972 | |
| Cost of inappropriate antibiotic (USD) Mean ± SD | 21.89 ± 12.63 | 25.12 ± 13.76 | 25.88 ± 12.01 | 24.73 ± 13.25 | |||
| 95% CI | 19.77–24.02 | 23.96–27.81 | 23.77–26.46 | 23.73–25.72 | |||
| % Cost of inappropriate antibiotics | 47.4 | 47.1 | 48.2 | 47.5 | |||
Abbreviations: χ2, Pearson chi-square test; 95% CI, confidence interval.
Binary logistic regression and age stratification were used. Cephalosporin prescriptions vs. penicillin prescriptions and broad-spectrum ATBs in adults were significant predictors of inappropriate prescriptions. For one episode of RTI, the mean cost was USD 134.56 (95% CI USD 132.94–USD 136.17). Treatment of RTI was more costly in adults (59.2%), LRTI and those using broad-spectrum antibiotics (86.5%) (Table 3). There were statistically significant associations for sex, age, spectrum of antibiotics, category of antibiotic, and inappropriate cost (Table 4).
Table 3.
Bivariate analysis of inappropriate antibiotic prescriptions as compared by RTI.
| Characteristics | Sample n (%) n = 3185 |
Pneumonia n (%) 759 |
Other LRTI n (%) 154 |
COPD n (%)34 |
Bronchitis n (%) 146 |
Bronchiolitis n (%) 140 |
Tonsillopharyngitis n (%) 1029 |
Other URTI n (%) 880 |
Sinusitis n (%) 43 |
χ2, p-Value |
|---|---|---|---|---|---|---|---|---|---|---|
| Sex | χ2 = 18.85, p < 0.000 | |||||||||
| Male | 1629 (51.1) | 354 (46.6) | 83 (53.9) | 13 (38.2) | 69 (47.3) | 83 (59.3) | 561 (54.5) | 442 (50.2) | 24 (55.8) | |
| Female | 1556 (48.9) | 405 (53.4) | 71 (46.1) | 21 (61.8) | 77 (52.7) | 57 (40.7) | 468 (45.5) | 438 (49.8) | 19 (44.2) | |
| Health Status | χ2 = 567.8, p < 0.000 | |||||||||
| Healthy | 2526 (79.3) | 349 (100) | 631 (99.8) | 406 (90.8) | 902 (69.1) | 238 (52.7) | ||||
| Unhealthy | 659 (20.7) | 0 | 1 (0.2) | 41 (9.2) | 403 (30.9) | 214 (47.3) | ||||
| Type of Treatment | χ2 = 392.5, p < 0.000 | |||||||||
| Single antibiotic | 3044 (95.6) | 629 (82.9) | 150 (97.4) | 30 (88.2) | 145 (99.3) | 140 (100) | 1027 (99.8) | 880 (100) | 43 (100) | |
| Combined antibiotics | 141 (4.4) | 130 (17.1) | 4 (2.6) | 4 (11.8) | 1 (0.7) | - | 2 (0.2) | - | - | |
| Request for sputum culture in ED | χ2 = 123.8, p < 0.000 | |||||||||
| Yes | 401 (12.6) | 87 (24.9) | 120 (19) | 63 (14.1) | 79 (6.1) | 52 (11.5) | ||||
| No | 2784 (87.4) | 262 (75.1) | 512 (81) | 384 (85.9) | 1226 (93.9) | 400 (88.5) | ||||
| Results of Culture | χ2 = 136.89, p < 0.000 | |||||||||
| Positive | 56 () | 19 (21.8) | 15 (12.5) | 11 (17.4) | 8 (10.1) | 3 (5.8) | ||||
| Negative | 345 () | 68 (78.1) | 105 (87.5) | 52 (82.5) | 71 (89.9) | 49 (94.2) | ||||
| Antibiotic Group | χ2 = 1885.3, p < 0.000 | |||||||||
| Penicillin | 1090 (34.2) | 48 (6.3) | 88 (57.1) | 5 (14.7) | 24 (16.4) | 28 (20) | 308 (29.9) | 573 (65.1) | 16 (37.2) | |
| Cephalosporin | 757 (23.8) | 267 (35.2) | 20 (13) | 13 (38.2) | 34 (23.3) | 74 (52.9) | 112 (10.9) | 224 (25.5) | 13 (30.2) | |
| Macrolide | 1049 (32.9) | 169 (22.3) | 45 (29.2) | 15 (44.1) | 82 (56.2) | 38 (27.1) | 609 (59.2) | 81 (9.2) | 10 (23.3) | |
| Quinolone | 288 (9) | 274 (36.1) | 1 (0.6) | 1 (2.9) | 6 (4.1) | - | - | 2 (0.2) | 4 (9.3) | |
| Antibiotic Spectrum | χ2 = 37.36, p < 0.000 | |||||||||
| Broad | 2330 (73.2) | 263 (75.4) | 466 (73.7) | 334 (74.7) | 989 (75.8) | 278 (61.5) | ||||
| Narrow | 855 (26.8) | 86 (24.6) | 166 (26.3) | 113 (25.3) | 316 (24.2) | 174 (38.5) | ||||
Table 4.
Total cost of treatment for respiratory tract infections.
| Characteristics | n | % n | Mean | SD | Median | Minimum | Maximum | Sum | % Total | SE | p-Value | Lower 95% CI | Upper 95% CI |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sex | |||||||||||||
| Male | 1629 | 51.1% | 120.57 | 34.381 | 102.99 | 80 | 273 | 196416 | 50.8% | 0.852 | 0.207 | 118.90 | 122.25 |
| Female | 1556 | 48.9% | 122.14 | 35.574 | 104.56 | 80 | 274 | 190050 | 49.2% | 0.902 | 120.37 | 123.91 | |
| Age | <0.0001 | ||||||||||||
| <2 years | 349 | 11.0% | 122.45 | 37.601 | 104.56 | 83 | 224 | 42736 | 11.1% | 2.013 | <0.0001 | 118.49 | 126.41 |
| 2 to 6 years | 632 | 19.8% | 115.13 | 31.704 | 95.07 | 83 | 206 | 72763 | 18.8% | 1.261 | 112.65 | 117.61 | |
| 7 to 14 years | 447 | 14.0% | 114.12 | 30.559 | 101.71 | 80 | 235 | 51013 | 13.2% | 1.445 | 111.28 | 116.96 | |
| 15 to 59 years | 1305 | 41.0% | 117.92 | 32.508 | 102.99 | 80 | 274 | 153887 | 39.8% | 0.900 | 116.16 | 119.69 | |
| >=60 years | 452 | 14.2% | 146.17 | 37.418 | 151.81 | 80 | 243 | 66068 | 17.1% | 1.760 | 142.71 | 149.63 | |
| Age Category | <0.0001 | ||||||||||||
| Adult | 1757 | 55.2% | 125.19 | 36.012 | 110.61 | 80 | 274 | 219955 | 56.9% | 0.859 | 123.50 | 126.87 | |
| Pediatric | 1428 | 44.8% | 116.61 | 33.051 | 101.71 | 80 | 235 | 166512 | 43.1% | 0.875 | 114.89 | 118.32 | |
| Category Diagnosis | <0.0001 | ||||||||||||
| URTI | 1953 | 61.3% | 100.84 | 17.810 | 93.25 | 80 | 207 | 196948 | 51.0% | 0.403 | 100.05 | 101.63 | |
| LRTI | 1232 | 38.7% | 153.83 | 30.619 | 153.27 | 83 | 274 | 189518 | 49.0% | 0.872 | 152.12 | 155.54 | |
| Category of Tx | <0.0001 | ||||||||||||
| Pneumonia | 759 | 23.8% | 164.09 | 25.978 | 163.95 | 85 | 274 | 124543 | 32.2% | 0.943 | 162.24 | 165.94 | |
| LRTI | 154 | 4.8% | 147.73 | 19.618 | 147.16 | 85 | 235 | 22751 | 5.9% | 1.581 | 144.61 | 150.85 | |
| COPD | 34 | 1.1% | 138.58 | 28.281 | 146.58 | 87 | 195 | 4712 | 1.2% | 4.850 | 128.71 | 148.45 | |
| Bronchitis | 146 | 4.6% | 119.00 | 27.681 | 112.18 | 84 | 227 | 17374 | 4.5% | 2.291 | 114.47 | 123.53 | |
| Bronchiolitis | 140 | 4.4% | 143.62 | 35.323 | 145.61 | 83 | 224 | 20107 | 5.2% | 2.985 | 143.62 | 137.72 | |
| URTI | 880 | 27.6% | 97.73 | 14.322 | 92.28 | 80 | 159 | 86005 | 22.3% | 0.483 | 96.79 | 98.68 | |
| Tonsopharyngitis | 1029 | 32.3% | 103.43 | 20.074 | 93.25 | 80 | 207 | 106432 | 27.5% | 0.626 | 102.20 | 104.66 | |
| Sinusitis | 43 | 1.4% | 105.66 | 17.330 | 98.48 | 83 | 164 | 4543 | 1.2% | 2.643 | 100.32 | 110.99 | |
| Result of Culture | <0.0001 | ||||||||||||
| Not requested | 2784 | 87.4% | 114.68 | 29.992 | 101.87 | 80 | 273 | 319273 | 82.6% | 0.568 | 113.57 | 115.80 | |
| Negative | 345 | 10.8% | 167.96 | 33.046 | 177.63 | 92 | 274 | 57947 | 15.0% | 1.779 | 164.46 | 171.46 | |
| Positive | 56 | 1.8% | 165.11 | 25.012 | 155.04 | 136 | 224 | 9246 | 2.4% | 3.342 | 158.41 | 171.81 | |
| Antibiotic Group | <0.0001 | ||||||||||||
| Cephalosporin | 757 | 23.8% | 135.91 | 35.755 | 136.37 | 80 | 243 | 102883 | 26.6% | 1.300 | 133.36 | 138.46 | |
| Macrolide | 1049 | 32.9% | 113.66 | 27.672 | 102.99 | 80 | 227 | 119230 | 30.9% | 0.854 | 111.98 | 115.34 | |
| Penicillin | 1090 | 34.2% | 105.19 | 24.762 | 94.85 | 80 | 200 | 114661 | 29.7% | 0.750 | 103.72 | 106.67 | |
| Quinolone | 288 | 9.0% | 172.01 | 27.065 | 175.21 | 83 | 274 | 49539 | 12.8% | 1.595 | 168.87 | 175.15 | |
| Antibiotic Spectrum | <0.0001 | ||||||||||||
| Broad | 2330 | 73.2% | 120.98 | 31.852 | 106.40 | 80 | 243 | 281884 | 72.9% | 0.660 | 119.69 | 122.27 | |
| Narrow | 855 | 26.8% | 122.32 | 42.330 | 94.85 | 80 | 274 | 104583 | 27.1% | 1.448 | 119.48 | 125.16 | |
| Type of Course | <0.0001 | ||||||||||||
| Monotherapy | 3033 | 95.2% | 119.69 | 34.418 | 102.99 | 80 | 274 | 363025 | 93.9% | 0.625 | |||
| Combination | 152 | 4.8% | 154.22 | 29.323 | 149.20 | 85 | 220 | 23442 | 6.1% | 2.378 | |||
| Recurrent Disease | <0.0001 | ||||||||||||
| Once | 2597 | 81.5% | 120.09 | 34.431 | 102.99 | 80 | 274 | 311884 | 80.7% | 0.676 | 118.77 | 121.42 | |
| Twice | 466 | 14.6% | 125.26 | 36.392 | 111.40 | 80 | 228 | 58370 | 15.1% | 1.686 | 121.94 | 128.57 | |
| Three | 83 | 2.6% | 130.80 | 37.227 | 141.87 | 83 | 211 | 10856 | 2.8% | 4.086 | 122.67 | 122.67 | |
| More than three | 39 | 1.2% | 137.35 | 39.240 | 146.58 | 83 | 238 | 5357 | 1.4% | 6.283 | 124.63 | 124.63 | |
| Total | 3185 | 100.0% | 121.34 | 34.972 | 102.99 | 80 | 274 | 386467 | 100.0% | 0.620 | 120.12 | 122.55 | |
Std. Error of Mean, Std. Deviation, Confidence Interval.
5. Discussion
This study provides information in three areas: the prevalence of ARTI among ED visits, effectiveness of treatment and prevalence of inappropriate prescribing of antibiotics, and cost of treatment, including cost of inappropriate treatment of ARTI. Inappropriate testing and treatments result in significant overspending in managing uncomplicated illnesses. ARTI is one of the most common diagnoses seen in EDs in the US [22]. Between 1995 and 2000, there was an average of 8.5 million annual ARTI visits to EDs [22], representing about 8% of all ED visits [22]. In our study, ED visits due to ARTI were higher, thus representing 21.8% during the study period. In line with previous research [23,24,25,26,27] male gender was predominant in our study.
In the current study, the prevalence of ARTI in pediatrics affected those age 7 was 30.8%, slightly higher than the prevalence in a previous study, in which RTI prevalence in children less than 5 was 24% [24]. A study of Al Mukarramah showed that the rate of ARTI in children <5 years was 39.4% [23], which was higher than our findings. Several reports showed an incidence of RTI among children <5 years ranging from 30% to 40% [25,28]; yet, others found an incidence of 83.2% [29].
As per previous studies [23,25], the prevalence of URTIs in our study was higher in pediatric cases than LRTIs. In contrast to the study by Safraz [30], our study and others showed pediatrics had LRTIs, such as pneumonia, bronchitis, and bronchiolitis [23,24,25]. The results of this study showed that antibiotics prescribed for 95.2% of visits for ARTI were higher than those previously reported [22,23]. The current study found that penicillin (34.2%), followed by macrolide (32.9%) and cephalosporin (23.8%) were the most common ATBs prescribed for patients with ARTIs. These results match those observed in earlier studies [23,29].
The results of the current study revealed that 53% of antibiotic prescriptions (pediatrics 35%; adults 67%) were given inappropriately. We observed that adult patients were considerably more likely to have been prescribed improper antibiotics than pediatric patients. This corroborates other studies that found the same pattern with all inappropriately prescribed antibiotics in EDs, not limited to ARTI [29]. The causes of this are not apparent and need more investigation. It could be due to lack of comorbid conditions in children, or that judgments about antibiotics for them are simpler. Yet, this population may be reluctant to receive prescribed drugs.
In this study, antibiotics were inappropriately prescribed due to error in duration, 32.2%, followed by error in dosing, 22.1%, error in frequency 3.7%, and error in selection 3.3%. Overprescribing increased risk of unnecessary antibiotic-related adverse events, opportunistic infections, and AMRs [31,32]. This necessitates antimicrobial stewardship (ASM) specifically designed for the ED setting to prevent unnecessary antibiotic exposure. As suggested by a previous study [29], potential AMS approaches involve an increased number of ED-based clinical pharmacists, implementing computerized prescribing platforms with clinical decision support tools, with ED-specific antibiograms [33,34]. Antibiotic resistance, needless side events, and unsuccessful treatment outcomes can result from improper antibiotic dosing.
It should be noted that the ED site is challenging and the pattern of ATB prescribing in the ED may vary more than other outpatient settings as described by previous reports [35]. In that study, there was a less significant overall decrease in ATB prescribing from baseline to intervention periods, and there were fewer classes of antibiotics that had substantial decline in use when compared with primary care outpatient settings. Given these considerations, further future study including outpatient settings is required.
This study was limited to the ED, and our conclusions might not apply to other populations and settings in Saudi Arabia. Thus, the generalizability may also be limited by the study’s single-center design and the results of this study may not be broadly applicable to other centers or patient populations. We did not differentiate between antibiotics prescribed at discharge and those given in the ED, a major limitation of this study. Moreover, it is possible that there were other variables linked to antibiotics prescribed for ARTIs in ED visits, but they were not investigated in this study. All these factors had an impact on whether antibiotics were prescribed.
Acknowledgments
The author would like to acknowledge the King Abdullah International Medical Research Center (KAIMRC) for its support. Special thanks go to the KAIMRC Publication Office, Ahmed Alaskar, Ghiath Hassan Ahmad, Fares Al-Shwiman, Haneen Al-Zahrani and Abdullah Alqahtani, Hana Alabdulkareem from drug policy and economic centre department, and ED staff.
Author Contributions
Conceptualization, M.Q.A. and H.A.; methodology, H.A. and T.A.A.; validation, M.Q.A., H.A., T.A.A., F.S.A. and F.Y.A.; formal analysis, investigation, resources, M.Q.A., H.A., T.A.A., F.S.A. and F.Y.A.; data curation, M.Q.A.; writing—original draft preparation, M.Q.A., H.A., T.A.A., F.S.A. and F.Y.A.; writing—review and editing, M.Q.A., H.A., T.A.A., F.S.A. and F.Y.A. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
The study was conducted in accordance with the Declaration of Helsinki and approved by the Research Committee of King Abdullah International Medical Research Center (KAIMRC), King Saud Bin-Abdulaziz University for Health Sciences (NRC22R/460/09).
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research received no external funding.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
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Data Availability Statement
Not applicable.