| Literature DB >> 35002744 |
Sura Al Zoubi1, Lobna Gharaibeh2, Hatim M Jaber3, Zaha Al-Zoubi4.
Abstract
The coronavirus disease that emerged in 2019 (COVID-19) has affected health, societies and economies. Policies that have been imposed by different countries to slow the spread of the disease, including national lockdowns, curfews, border closures and enforcement of social distancing measures have disturbed the drug supply chain and resulted in drug shortages. Uncertainty concerning the pandemic has also led to the panic buying of drugs and the stockpiling of drugs in households, which has amplified the problem. In this cross-sectional study, a self-developed questionnaire was distributed online in order to a) assess the practice of household drug stockpiling prior to the national lockdown in Jordan, b) investigate the factors affecting it and c) measure peoples' knowledge about the consequences of this behaviour. Results from this study show that drug purchasing was reported by 44.3% of the participants and was most common among participants from non-medical backgrounds (336, 75.7%) or those who have chronic diseases (261, 58.8%) and taking chronic supplements (282, 63.5%) regardless of their age, gender, living area or the possession of health insurance. Analgesics and antipyretics were the most frequently purchased drugs (225, 70.5%) and anticipation of their need was the most common reason for purchasing drugs (231, 52.0%). Buyers were also less aware, when compared to non-buyers, that panic buying and drug stockpiling may lead to drug shortages (204, 45.9% vs 325, 58.1%) and that this behaviour can pose a health hazard, especially to children (221, 47.5% vs 342, 61.2%). Our study shows that panic buying of drugs and household drug stockpiling were common in Jordan during the COVID-19 pandemic and this was related to participants' medical knowledge and educational backgrounds. Therefore, educating the general population regarding rational drug use is urgently needed. This is also a compelling case for the development of national guidelines for drug management that target the general population and healthcare personnel, especially pharmacists, to avoid drug shortages during crises.Entities:
Keywords: COVID-19; Jordan; drug management; drug shortages; drug stockpiling; lockdown; panic buying
Year: 2021 PMID: 35002744 PMCID: PMC8730317 DOI: 10.3389/fphar.2021.813405
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.988
General characteristics of the participants.
| Buyers | Non-buyers ( | Total ( |
| |
|---|---|---|---|---|
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| Age | ||||
| 18–25 | 216 (48. 6) | 293 (52.4) | 509 (50.7) | 0.444 |
| 26–35 | 118 (26.6) | 151 (27.0) | 269 (26.8) | |
| 36–45 | 67 (15.1) | 69 (12.3) | 135 (13.6) | |
| >45 | 43 (9.7) | 46 (8.2) | 89 (8.9) | |
| Gender | ||||
| Male | 98 (22.1) | 141 (25.2) | 239 (23.8) | 0.245 |
| Female | 346 (77.9) | 418 (74. 8) | 764 (76.2) | |
| Living area | ||||
| North | 55 (12.4) | 68 (12.2) | 123 (12.3) | 0.157 |
| Middle | 368 (82.9) | 477 (85.3) | 844 (84.2) | |
| South | 21 (4.7) | 14 (2.5) | 35 (3.5) | |
| Education level | ||||
| School or diploma level | 51 (11.5) | 98 (17.5) | 149 (14.9) | 0.008 |
| Undergraduate level | 309 (69.6) | 382 (68.3) | 691 (68.9) | |
| Post graduate level | 84 (18.9) | 79 (14.1) | 163 (16.3) | |
| Education background | ||||
| Medical | 108 (24.3) | 184 (32.9) | 292 (29.1) | 0.003 |
| Non-medical | 336 (75.7) | 375 (67.1) | 711 (70.9) | |
| Occupation | ||||
| Student | 180 (40.5) | 231 (41.3) | 411 (41.0) | 0.045 |
| Employed | 173 (39.0) | 182 (32.6) | 355 (35.4) | |
| Unemployed | 91 (20.5) | 146 (26.1) | 237 (23.6) | |
| Do you or any of your household members have chronic diseases that need chronic drug use? | ||||
| Yes | 261 (58.8) | 231 (41.3) | 492 (49.1) | <0.001 |
| No | 153 (34.5) | 299 (53.5) | 452 (45.1) | |
| I don’t know | 30 (6.8) | 29 (5.2) | 59 (5.9) | |
| Do you or any of your household members use drugs or supplements that are not related to chronic diseases? | ||||
| Yes | 282 (63.5) | 275 (49.2) | 557 (55.5) | <0.001 |
| No | 125 (28.2) | 236 (42.2) | 361 (36.0) | |
| I don’t know | 37 (8.3) | 48 (8.6) | 85 (8.5) | |
| Do you or any of your household members have medical insurance? | ||||
| I don’t know | 5 (1.1) | 12 (2.1) | 17 (1.7) | 0.637 |
| No, none of us | 91 (20.5) | 119 (21.3) | 210 (20.9) | |
| Yes, some of us | 128 (28.8) | 158 (28.3) | 286 (28.5) | |
| Yes, all of us | 220 (49.5) | 270 (48.3) | 489 (48.9) |
Among all participants, buyers were compared to non-buyers regarding their general characteristics. Data are presented as frequency (percentage) [N (%)]. Data were analysed using Pearson Chi-square tests. p values < 0.05 were considered statistically significant.
Buyers are participants who bought drugs during the week before the full national lockdown.
Medical background includes participants who study to become, or already are, medical doctors, dentists, clinical pharmacists, pharmacists, nurses, physiotherapists, or medical laboratory workers.
FIGURE 1Characteristics of participants’ decisions. Participants were asked about (A) their opinion about the decision to buy drugs or not before the lockdown (n = 444 buyers and 559 non-buyers), (B) Who paid for the drugs they bought (n = 444) and (C) the classes of drugs they bought just in case they needed them during the lockdown (N = 318). *Free medical samples, government exemption of payment or medical aids, †Classes of drugs purchased by people who were not in need at the time of the purchase ‡Laxatives, muscle relaxants and medical skin creams and ointments.
Effect of educational background on the practice of drug purchasing and stockpiling.
| Medical | Non-medical ( | Total ( |
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|---|---|---|---|---|
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| The main reason behind buying the drugs before the lockdown | ||||
| Because it is time for a refill, or I need it now | 30 (27.8) | 96 (28.6) | 126 (28.4) | 0.249 |
| In case I needed it during the lockdown | 51 (47.2) | 180 (53.6) | 231 (52.0) | |
| Other | 27 (25.0) | 60 (17.9) | 87 (19.6) | |
| How long will the amount you bought be enough to meet your demand? | ||||
| Less than a week | 19 (17.6) | 38 (11.3) | 57 (12.8) | 0.203 |
| From a week to a month | 69 (63.9) | 232 (69.0) | 301 (67.8) | |
| More than a month but less than 3 months | 16 (14.8) | 60 (17.9) | 76 (17.1) | |
| For 3 months or more | 4 (3.7) | 6 (1.8) | 10 (2.3) | |
| How often do you buy this number of drugs? | ||||
| Always | 50 (46.3) | 123 (36.6) | 173 (39.0) | 0.004 |
| Sometimes | 48 (44.4) | 133 (39.6) | 180 (40.5) | |
| Rarely or never | 10 (9.3) | 80 (23.8) | 91 (20.5) | |
| The fate of the unused drugs after the lockdown is over | ||||
| I will keep them until their expiry date | 87 (80.6) | 240 (71.4) | 327 (73.7) | 0.151 |
| I will give them to my friends, relatives or people who need them | 11 (10.1) | 57 (17.0) | 68 (15.3) | |
| I still don’t know | 10 (9.3) | 39 (11.6) | 49 (11.0) | |
Among participants who bought drugs during the week before the lockdown, participants from medical backgrounds were compared to participants from non-medical backgrounds regarding their practice of drug purchasing and stockpiling. Data are presented as frequency (percentage) [N (%)]. Data were analysed using Pearson Chi-square tests. p values < 0.05 were considered statistically significant.
Medical background includes participants who study to become, or already are, medical doctors, dentists, clinical pharmacists, pharmacists, nurses, physiotherapists, or medical laboratory workers.
Participants stated that they bought drugs before the lockdown to give them to people who might need them or because they were afraid of drugs shortages after the lockdown.
Participants’ knowledge about self-medication with COVID-19 drugs and risk of drug stockpiling.
| Total (n = 1,003) | ||||||
|---|---|---|---|---|---|---|
| Buyers (n = 444) | Non-buyers (n = 559) |
| Medical (n = 292) | Non-medical (n = 711) |
| |
| N (%) | N (%) | N (%) | N (%) | |||
| Are you willing to buy a drug to self-treat COVID-19 at home? | ||||||
| Yes | 84 (18.9) | 122 (21.8) | 0.246 | 42 (14.4) | 165 (23.2) | <0.001 |
| No | 252 (56.8) | 288 (51.5) | 184 (63.0) | 356 (50.1) | ||
| Maybe | 108 (24.3) | 149 (26.7) | 66 (22.6) | 190 (26.7) | ||
| Do you think that stockpiling of drugs in the household at this stage will lead to drug shortages later? | ||||||
| Yes | 204 (45.9) | 325 (58.1) | 0.001 | 157 (53.8) | 372 (52.3) | 0.519 |
| No | 92 (20.7) | 84 (15.0) | 45 (15.4) | 131 (18.4) | ||
| Maybe | 148 (33.3) | 150 (26.8) | 90 (30.8) | 208 (29.3) | ||
| Do you think that stockpiling of drugs in the household can pose a health hazard especially on children? | ||||||
| Yes | 211 (47.5) | 342 (61.2) | <0.001 | 167 (57.2) | 386 (54.3) | 0.255 |
| No | 103 (23.2) | 76 (13.6) | 43 (14.7) | 136 (19.1) | ||
| Maybe | 130 (29.3) | 141 (25.2) | 82 (28.1) | 189 (26.6) | ||
Among all participants, buyers were compared to non-buyers and participants from medical backgrounds were compared to participants from non-medical backgrounds regarding their knowledge about self-medication with COVID-19 drugs and the risk of drug stockpiling. Data are presented as frequency (percentage) [N (%)]. Data were analysed using Pearson Chi-square tests. p values <0.05 were considered statistically significant. Buyers are participants who bought drugs during the week before the full national lockdown. Medical background includes participants who study to become, or already are, medical doctors, dentists, clinical pharmacists, pharmacists, nurses, physiotherapists, or medical laboratory workers.