| Literature DB >> 36059596 |
Abhigan Babu Shrestha1, Manjil Aryal1, Junu Rana Magar2, Sajina Shrestha3, Labiba Hossainy4, Fahmida Hoque Rimti5.
Abstract
Background: Self-medication association with an ongoing pandemic is evident in the studies conducted throughout the world. To summarize the findings of previous papers, we carried out a systematic review to observe the current scenario of self-medication during COVID-19. Methodology: Scopus, Embase, Web of Science, PubMed, MedRxiv preprints, SciELO Preprints, google, and google scholar were searched using keywords related to the topic. Studies reporting original data and assessing the self-medication practices during Covid-19 were included.Entities:
Keywords: COVID-19; Drugs; Pandemic; Review; Self-medication
Year: 2022 PMID: 36059596 PMCID: PMC9419440 DOI: 10.1016/j.amsu.2022.104482
Source DB: PubMed Journal: Ann Med Surg (Lond) ISSN: 2049-0801
Fig. 1PRISMA flowchart showing selection stratergy.
Characteristics of included studies such as year, country, subject, sample size and study design.
| Author | Year | Country | Subject | Sample | Study Design |
|---|---|---|---|---|---|
| Sadio et al. | 2021 | Togo | Healthcare, Air transport, Police, | 955 | cs |
| Dare et al. | 2021 | Uganda | Community | 273 | cs |
| Rathi et al. | 2021 | India | Community | 1704 | cs |
| Chopra et al. | 2021 | India | Community | 1100 | cs |
| Azhar et al. | 2021 | Pakistan | Community | 290 | cs |
| Quispe-Canari et al. | 2020 | Peru | Community | 3792 | cs |
| Heshmatifar et al. | 2021 | Iran | Elderly Community | 342 | cs |
| Nasir et al. | 2020 | Bangladesh | Literate adults | 626 | cs |
| Rafiq et al. | 2021 | Pakistan | Adult and teenage Community | 920 | cs |
| Wegbom et al. | 2021 | Nigeria | Literate smartphones accessed community | 461 | cs |
| Zhang et al. | 2021 | Australia | Urban Community | 2217 | cs |
| Minan-Tapia et al. | 2020 | Peru | Undergraduate students of health-related careers | 718 | cs |
| Zavala-Flores et al. | 2020 | Peru | Hospitalized community | 132 | cs |
| Mansuri et al. | 2020 | Kingdom of Saudi Arabia | Community | 388 | cs |
cs, cross-sectional study.
Prevalence rate of self-medication and the recall period during COVID-19 pandemic from year 2020–2021.
| Author | Year | Recall period | Prevalence rate during COVID-19 |
|---|---|---|---|
| Sadio et al. | 2021 | 2 weeks | 34.20% |
| Dare et al. | 2021 | NR | 57% |
| Rathi et al. | 2021 | NR | 45% |
| Chopra et al. | 2021 | NR | 25% |
| Azhar et al. | 2021 | NR | 53% |
| Quispe-Canari et al. | 2020 | NR | 33.30% |
| Heshmatifar et al. | 2021 | 3 months | 56.40% |
| Nasir et al. | 2020 | 4 months | 88.33% |
| Rafiq et al. | 2021 | 6 months | 67.3% adults; 46.9% teenagers |
| Wegbom et al. | 2021 | 2 months | 41% |
| Zhang et al. | 2021 | 15 days | 19.50% |
| Minan-Tapia et al. | 2020 | 3 months | 51.3% |
| Zavala-Flores et al. | 2020 | Since Covid-10 Pandemic | 33.9% |
| Mansuri et al. | 2020 | Since Covid-19 Pandemic | 35.1% |
NR, Not Reported.
Common illness, reasons and factors associated with self-medication during the COVID-19 pandemic.
| Author | Common illness for self-medication | Reasons for self-medication | Factors associated with self-medication |
|---|---|---|---|
| Sadio et al. | NR | NR | Education level: |
| Dare et al. | NR | Fear of visiting hospital | NR |
| Rathi et al. | NR | NR | NR |
| Chopra et al. | Headache, pain abdomen, Anxiety disorders, insomnia | NR | Gender, Marital status, Family setup and Self rating Anxiety Scale (p < 0.00001) |
| Azhar et al. | Fever 50%, dry-cough 43.3%, throat pain 26.7%, body ache 34.7%, loss of smell and taste 20.7%, diarrhea 14.7% | Self-habit 10.7% | Azithromycin (p = 0.000) |
| Quispe-Canari et al. | Respiratory symptoms: | Covid-19 positive | Old age (P = 0.043) |
| Heshmatifar et al. | joint and muscle pain 43.4% | COVID-19 prevention 52.3% | Education and Insurance coverage(P < 0.05) |
| Nasir et al. | Fever 37.61%, throat pain28.7%, dry-cough 14.20%, loss of smell 9.21%, loss of taste 3.45% body ache 4.99%, diarrhea 1.72% | Doctor's advice 28.59% media or internet 27.15% | NR |
| Rafiq et al. | Fever flu or cough | NR | Fear of possible COVID-19 infections in hospitals and interactions with pathogen carriers (P = 0.000) |
| Wegbom et al. | NR | COVID-19 treatment and prevention 41% | Covid-19 treatment perception and perceived treatment(p < 0.005) |
| Zhang et al. | NR | Protection against COVID-19 | Age(P = 0.89) |
| Miñan-Tapia et al. | Perception of symptoms not being urgent enough to visit a healthcare professional or a facility (64.3%) | ||
| Zavala-Flores et al. | COVID-19 related symptoms | NR | NR |
| Mansuri et al. | Fever | Protection against Fever or COVID-19 symptoms | NR |
NR, Not Reported.
Sources, Adverse effects and drugs used.
| Author | Sources | Adverse effect | Drugs |
|---|---|---|---|
| Onchonga et al. | Pharmacy stores 89.5% | adverse drug reaction after covid22.4% | NR |
| Sadio et al. | NR | NR | Chloroquine 2% |
| Dare et al. | NR | NR | NR |
| Rathi et al. | NR | NR | Antacid 16%, Analgesic 13% |
| Chopra et al. | NR | NR | NSAIDS 36% |
| Azhar et al. | Prescription written for family 19.6%, for friend 3.3% | Adverse effects 5.6% | Allopathic (18.5%) |
| Quispe-Canari et al. | NR | NR | Acetaminophen 27.0% antiretroviral 1.6% |
| Heshmatifar et al. | NR | NR | Antibiotics 27.1% |
| Nasir et al. | NR | NR | Azithromycin 54.15% |
| Rafiq et al. | NR | NR | Analgesics antibiotics |
| Wegbom et al. | Pharmacy 73.9% patent medicine vendor 23.6% | NR | Vitamin c and multivitamins 51.8% anti-malarial other than Hydroxychloroquine and chloroquine 47.1% |
| Zhang et al. | NR | NR | NR |
| Miñan-Tapia et al. | NR | Adverse effects 11.7% | Acetaminophen (21.2%) |
| Zavala-Flores et al. | NR | NR | Antibiotics (28.3%) |
| Mansure et al. | NR | NR | NR |
NR, Not Reported.