| Literature DB >> 36160164 |
Faiz Ullah Khan1,2,3,4, Tauqeer Hussain Mallhi5, Qasim Khan6, Farman Ullah Khan1,2,3,4, Khezar Hayat1,2,3,4,7, Yusra Habib Khan5, Tawseef Ahmad6,8, Yu Fang1,2,3,4.
Abstract
Background: The storage of antimicrobials at home is frequently in-practice in various developing countries, resulting an irrational use, antibiotic resistance, and toxicities. This condition may worsen more in conflict zones where health facilities are limited. This study aimed to determine the storage and use of leftover antibiotics among households (HHs) along with knowledge and awareness about antibiotics and antibiotic resistance (ABR).Entities:
Keywords: Pakistan; antibiotic resistance; antibiotics storage; households; post-conflict areas
Year: 2022 PMID: 36160164 PMCID: PMC9494294 DOI: 10.3389/fmed.2022.962657
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Demographic characteristics.
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|---|---|
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| District-I | 50 (52.1) |
| District-II | 46 (47.9) |
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| 18–28 | 45 (46.9) |
| 29–38 | 27 (28.1) |
| 39–48 | 14 (14.6) |
| 49–58 | 6 (6.3) |
| >60 | 4 (4.2) |
|
| |
| Primary education | 28 (29.2) |
| Secondary education | 18 (18.8) |
| Higher secondary education | 15 (15.6) |
| Graduation | 13 (13.5) |
| Postgraduation | 4 (4.2) |
| No-formal education | 18 (18.8) |
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| |
| Government employee | 19 (19.8) |
| Private employee | 23 (24) |
| Self-business | 32 (33.3) |
| Daily wager | 14 (14.6) |
| Other | 8 (8.3) |
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| |
| Individual | 60 (62.5) |
| Joint family | 35 (36.5) |
| Extended family | 1 (1) |
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| |
| 2–4 | 4 (4.2) |
| 4–6 | 27 (28.1) |
| 6–8 | 32 (33.3) |
| 10–12 | 21 (21.9) |
| >12 | 12 (12.5) |
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| |
| 1,000–20,000 | 9 (9.4) |
| 21,000–30,000 | 29 (30.2) |
| 31,000–40,000 | 21 (21.9) |
| 41,000–50,000 | 9 (9.4) |
| >50,000 | 28 (29.2) |
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| |
| 0 | 33 (34.4) |
| 1–2 | 63 (65.6) |
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| |
| Lower respiratory tract infections (LRTIs) | 35 (36.5) |
| Upper respiratory tract infections (URTIs) | 11 (11.5) |
| Other infectious disease (TB) | 13 (13.5) |
| Chronic illness (Hypertension; Diabetes mellitus) | 29 (30.2) |
| Not any disease (NAD) | 8 (8.3) |
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| Yes | 14 (14.6) |
| No | 82 (85.4) |
*Study Locations (District-I=Swat; District-II=Shangla).
Knowledge assessment regarding antibiotics and correct responses of the participants.
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|---|---|
| Have you ever heard of a type of medicine called antibiotics? | 56 (58.3) |
| Is amoxicillin an antibiotic? | 42 (43.8) |
| Is paracetamol an antibiotic? | 51 (53.1) |
| Is aluminum hydroxide + magnesium hydroxide (antacid) an antibiotic? | 38 (39.6) |
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| Are antibiotics useful for killing germs? | 52 (54.2) |
| Are antibiotics often needed for cold and flu illnesses? | 18 (18.8) |
| Does diarrhea get better faster with antibiotics? | 59 (61.5) |
| Can antibiotics kill “good bacteria” present in our bodies? | 48 (50) |
| Can antibiotics cause secondary infections after killing good bacteria present in our bodies? | 46 (47.9) |
| Can antibiotics cause allergic reactions? | 65 (67.7) |
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| If bacteria are resistant to antibiotics, it can be very difficult to treat the infections they cause. | 27 (28.1) |
| Did you hear the term ABR? | 26 (27.1) |
| Storage of unnecessary antibiotics is one of the reasons for ABR. | 30 (31.3) |
| If bacteria are resistant to antibiotics, it can be very difficult to treat the infections they cause. | 35 (36.5) |
| Many infections are becoming increasingly resistant to treatment by antibiotics. | 34 (35.4) |
| Misuse of antibiotics can lead to ABR. | 35 (35.5) |
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| Knowledge regarding identification of antibiotics | 2 (1–3) |
| Knowledge regarding uses of antibiotics | 4 (2–5) |
| Knowledge regarding ABR | 1 (0–3) |
*CR, Correct Responses.
Overall HHs knowledge related to antibiotics use, ABR, and infectious diseases.
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| I can recognize antibiotics in my prescription as I always | SA | 14 (14.6) |
| differentiate antibiotics from other medicines. | AG | 33 (34.4) |
| NT | 24 (25) | |
| DA | 22 (22.9) | |
| SDA | 3 (3.1) | |
| LRTIs, URTIs, and UTIs are only treated by antibiotics. | SA | 11 (11.5) |
| AG | 34 (35.4) | |
| NT | 34 (35.4) | |
| DA | 13 (13.5) | |
| SDA | 4 (4.2) | |
| Antibiotics such as penicillin can cause allergic reactions, | SA | 25 (26) |
| if not checked with the patient with the test dose. | AG | 35 (36.5) |
| NT | 24 (25) | |
| DA | 10 (10.4) | |
| SDA | 2 (2.1) | |
| ABR is referred to the inability of antibiotics to | SA | 23 (24) |
| kill/inhibit microorganisms' growth. | AG | 22 (22.9) |
| NT | 50 (52.1) | |
| DA | 1 (1) | |
| SDA | 0 (0) | |
| HH storage of antibiotics for future illnesses can lead to | SA | 20 (20.8) |
| ABR. | AG | 29 (30.2) |
| NT | 33 (34.4) | |
| DA | 12 (12.5) | |
| SDA | 2 (2.1) | |
| Sharing of antibiotics in HH members can develop ABR. | SA | 12 (12.5) |
| AG | 29 (30.2) | |
| NT | 48 (50) | |
| DA | 6 (6.3) | |
| SDA | 1 (1) | |
| Self-medication with antibiotics is one of the reasons for | SA | 18 (18.8) |
| ABR. | AG | 23 (24) |
| NT | 46 (47.9) | |
| DA | 8 (8.3) | |
| SDA | 1 (1) | |
| Consultation with a physician for the (RTIs and UTIs) | SA | 15 (15.6) |
| illness and pharmacist counseling can enhance the | AG | 22 (22.9) |
| appropriate use of antibiotics. | NT | 56 (58.3) |
| DA | 1 (1) | |
| SDA | 2 (2.1) |
*LS, Likert Scale (SA, strongly agree; AG, agree; NT, neutral; DA, disagree; and SDA, strongly disagree).
HH storage of medications (antibiotics).
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|---|---|
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| Yes | 80 (83.3) |
| No | 16 (16.6) |
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| Yes | 94 (97.9) |
| No | 2 (2.1) |
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| Oral | 93 (96.9) |
| Other | 3 (2.9) |
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| On use (first user) | 50 (52.1) |
| On use (another person and for future use) | 46 (48.9) |
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| For current illness | 88 (91.7) |
| For future illness | 3 (3.1) |
| Don't remember | 3 (3.1) |
| For emergency use | 2 (2.1) |
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| Physician | 52 (54.2) |
| Pharmacy/drug outlet staff | 41 (42.7) |
| Family/relatives/friends | 3 (3.1) |
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| With prescription | 73 (76) |
| Without prescription | 23 (24) |
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| Pharmacy | 21 (21.9) |
| Drug store (small outlet) | 75 (78.1) |
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| For the last 10 days | 36 (37.5) |
| For last 20 days | 35 (36.5) |
| From last month | 17 (17.7) |
| More than 1 month | 8 (8.3) |
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| Easy access | 75 (78.1) |
| Due to need | 21 (21.9) |
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| Blister pack | 32 (33.3) |
| Strip pack | 47 (49) |
| Bottle | 15 (15.6) |
| Bottle and Strip | 2 (2.1) |
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| Open place | 5 (5.2) |
| Cabinet | 6 (6.3) |
| Room | 85 (88.5) |
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| J01CA (penicillin) | 11 (11.5) |
| J01CA04 (amoxicillin) | 18 (18.7) |
| J01CR (amoxicillin + clavulanic acid) | 30 (31.2) |
| J01FA10 (azithromycin) | 38 (39.6) |
| J01FA09 (clarithromycin) | 6 (6.3) |
| J01FA01(erythromycin) | 6 (6.3) |
| J01AA07 (tetracycline) | 8 (8.3) |
| J01AA02 (doxycycline) | 13 (13.5) |
| J01MA02 (ciprofloxacin) | 24 (25) |
| J01MA12 (levofloxacin) | 12 (12.5) |
| J01MA01(ofloxacin) | 13 (13.5) |
| J01DB05 (cefadroxil) | 5 (5.2) |
| J01DD04 (ceftriaxone) | 23 (24) |
| J01DD08 (cefixime) | 12 (12.5) |
| J01FF01 (clindamycin) | 2 (2.1) |
| J01XA01 (vancomycin) | 6 (6.3) |
| J01XD01 (metronidazole) | 31 (32.3) |
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| J01MA02 + J01XD01 | 19 (19.8) |
| J01CA04+ J01FA09 + J01MA12 + J01FA10 + J01XD01 | 14 (14.6) |
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| 1–2 | 62 (64.6) |
| 3–4 | 29 (30.2) |
| 5–6 | 5 (5.2) |
Figure 1The total number of HHs vs. antibiotics storage for infectious diseases.
Comparison of demographic characteristics with respect to knowledge regarding the identification of antibiotics.
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|---|---|---|---|---|---|
| Age | 18–28 | 45 | 50.42 | 12 | 0.017 |
| 29–38 | 27 | 58.52 | |||
| 39–48 | 14 | 38.11 | |||
| 49–58 | 6 | 25.67 | |||
| >60 | 4 | 29.88 | |||
| Education level of the participants | Primary education | 28 | 32.77 | 52.8 | 0.001 |
| Secondary education | 18 | 58.56 | |||
| Higher secondary education | 15 | 64.37 | |||
| Graduation | 13 | 80.96 | |||
| Postgraduation | 4 | 64.38 | |||
| No formal education | 18 | 22.72 | |||
| Occupation of the participants | Govt employee | 19 | 61.42 | 10 | 0.04 |
| Private employee | 23 | 45.15 | |||
| Self-business | 32 | 41.94 | |||
| Daily wager | 14 | 42.21 | |||
| Other | 8 | 64.69 | |||
| Family set-up of the participants | Individual | 60 | 49.58 | 0.7 | 0.7 |
| Joint family | 35 | 47.23 | |||
| Extended family | 1 | 28.5 | |||
| Total number of family (male and female) | 2–4 | 4 | 55.75 | 0.5 | 0.9 |
| 4–6 | 27 | 49.83 | |||
| 6–8 | 32 | 46.53 | |||
| 10–12 | 21 | 47.88 | |||
| >12 | 12 | 49.42 | |||
| Average Monthly Income of the Participants (PKR) | 1,000–20,000 | 9 | 56.11 | 7.3 | 0.1 |
| 21,000–30,000 | 29 | 44.29 | |||
| 31,000–40,000 | 21 | 37.98 | |||
| 41,000–50,000 | 9 | 58 | |||
| > 50,000 | 28 | 55.25 | |||
| Type of the infectious diseases | Lower respiratory tract infections | 35 | 44.27 | 8 | 0.09 |
| Upper respiratory tract infections | 11 | 35.05 | |||
| Other infectious diseases (TB, etc.) | 13 | 59.15 | |||
| Chronic illnesses | 29 | 55.72 | |||
| Not any disease (NAD) | 8 | 42 | |||
| Number of chronic diseases |
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| 0 | 33 | 57.73 | 735 | 0.016 | |
| 1–2 | 63 | 43.67 |
p ≤ 0.05 was considered statistically significant. *p-value was calculated using the Kruskal Wallis H test. **p-value was calculated using the Mann Whitney U-test.