| Literature DB >> 35310036 |
Benjamin Demah Nuertey1,2, Joyce Addai3, Priscilla Kyei-Bafour1, Kingsley Appiah Bimpong1, Victor Adongo1, Laud Boateng4, Kareem Mumuni1,5, Kenneth Mibut Dam1,2, Emilia Asuquo Udofia2, Nana Ayegua Hagan Seneadza2, Benedict Nl Calys-Tagoe2, Edem M A Tette2, Alfred Edwin Yawson2, Sari Soghoian6, Gideon K Helegbe7, Rajesh Vedanthan4.
Abstract
Objective: This study aimed at determining the various types of home-based remedies, mode of administration, prevalence of use, and their relevance in reducing the risk of infection, hospital admission, severe disease, and death.Entities:
Year: 2022 PMID: 35310036 PMCID: PMC8927972 DOI: 10.1155/2022/4559897
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Background characteristics of study participants segregated by type.
| Administration of home-based remedies within the last two weeks | ||||
|---|---|---|---|---|
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| No home-based remedy | Administered home-based remedy | Chi ( | |
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| 882 | 621 (70.4) | 261 (29.6) | |
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| Tested negative | 524 | 318 (51.2) | 206 (78.9) | 58.55 (<0.001) |
| Tested positive | 358 | 303 (48.8) | 55 (21.1) | |
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| Female | 371 | 267 (43.2) | 104 (39.9) | 0.8479 (0.357) |
| Male | 508 | 351 (56.8) | 157 (60.2) | |
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| Less than 20 | 48 | 40 (6.5) | 8 (3.1) | 13.15 (0.022) |
| 20–29 | 292 | 203 (32.8) | 89 (34.1) | |
| 30–39 | 353 | 236 (38.1) | 117 (44.8) | |
| 40–49 | 95 | 68 (11.0) | 27 (10.3) | |
| 50–59 | 53 | 37 (6.0) | 16 96.1) | |
| 60 and above | 39 | 35 (5.7) | 4 (1.5) | |
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| Healthcare professional | 535 | 345 (55.6) | 190 (72.8) | 22.89 (<0.001) |
| Not a healthcare worker | 347 | 276 (44.4) | 71 (27.2) | |
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| Severity of disease | ||||
| Asymptomatic, mild, moderate | 834 | 576 (92.8) | 258 (98.9) | 13.27 (0.882) |
| Severe-critical | 48 | 45 (7.3) | 3 (1.2) | |
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| Outpatient (homecare) | 806 | 550 (88.6) | 256 (98.1) | 21.14 (<0.001) |
| Inpatient | 76 | 71 (11.4) | 5 (1.9) | |
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| Alive | 865 | 606 (97.6) | 259 (99.2) | 2.64 (0.104) |
| Died | 17 | 15 (2.4) | 2 (0.8) | |
Method of administration of home-based remedies to prevent COVID-19.
| Mode of administration (multiple response analysis) | All | Controls | Cases | Chi ( |
|---|---|---|---|---|
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| Steam inhalation | 29 | 2 (6.9) | 27 (93.1) | 145.62 (≤0.01) |
| Herbal baths | 8 | 3 (37.5) | 5 (62.5) | |
| Drink | 100 | 72 (72.0) | 28 (28.0) | |
| Eating/in diet | 99 | 98 (99.0) | 1 (1.0) | |
| Exercise | 55 | 54 (98.2) | 1 (1.8) | |
| Gurgle | 2 | 0 (0.0) | 2 (100.0) | |
Qualitative analysis of modes, pattern, methods, and ingredients of home remedies' practices as prevention of COVID-19.
| Home-based remedies administered within the past two weeks prior to testing for COVID-19 | |
|---|---|
| Mode of administration | Method of administration and main ingredients |
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| Steam inhalation | (i) |
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| Baths | (i) |
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| Drinks |
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| Food eaten or changes in diet |
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| Exercise | Exercise of all forms as the main change of habit to prevent COVID-19. |
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| Gurgle | Gurgle was the least dominant theme in the following forms: |
One person stated resting well.
Logistic regression showing the odds of infection, severe disease, admission, and death associated with the administration of any home-based remedy to prevent COVID-19.
| Characteristics | Univariate logistic regression | Multivariate logistic regression | AOR [95% CI] |
|
|---|---|---|---|---|
| OR [95% CI] |
| |||
| Risk of PCR-positive SARS-CoV-2 test | 0.28 [0.20–0.39] | <0.001 | 0.38 [0.26–0.57] | <0.001 |
| Risk of severe or critical COVID-19 | 0.15 [0.05–0.48] | 0.002 | 0.40 [0.11–1.48] | 0.169 |
| Risk of admission | 0.15 [0.06–0.38] | <0.001 | 0.29 [0.11–0.74] | 0.009 |
| Risk of death from COVID-19 | 0.31 [0.07–1.38] | 0.124 | 2.82 [0.60–13.3] | 0.189 |
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| Female | — | |||
| Male | 1.14 [0.86–1.54] | 0.358 | ||
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| Less than 20 | — | |||
| 20–29 | 2.19 [0.99–4.88] | 0.054 | ||
| 30–39 | 2.37 [1.12–5.47] | 0.025 | ||
| 40–49 | 1.99 [0.82–4.79] | 0.127 | ||
| 50–59 | 2.16 [0.83–5.65] | 0.115 | ||
| 60 and above | 0.57 [0.09–0.43] | <0.001 | ||
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| Healthcare professional | — | |||
| Nonhealthcare worker | 2.14 [1.56–2.93] | <0.001 | ||
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| Use any type of facemask | — | |||
| Did not use face mask | 0.17 [0.06–0.46] | 0.001 | ||
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| Did not take immune boosters | — | |||
| Took immune boosters | 2.65 [1.97–3.58] | <0.001 | ||
AOR: adjusting for age, mask use, intake of immune booster, and healthcare worker status. Risk of infection and admission were associated with the method of administration of home-based remedies to prevent COVID-19.
Logistic regression showing the odds of infection and admission associated with the method of administration of home-based remedies to prevent COVID-19.
| Effect of mode of administration of home-based remedy on | Univariate logistic regression | Multivariate logistic regression | AOR [95% CI] |
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|---|---|---|---|---|
| OR [95% CI] |
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| Risk of infection of SARS-CoV-2 | 21.29 [5.03–90.2] | <0.001 | 26.63 [6.10–116.24] | <0.001 |
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| 0.30 [0.09–0.97] | 0.045 | 0.53 [0.13–2.09] | 0.362 |
AOR: adjusting for age, mask use, immune booster use, and healthcare worker status. Gurgle had only two observations, and study not powered for subanalysis involving gurgle.