| Literature DB >> 36115669 |
Boris Apodaca Michel1,2, Miriam Navarro3, Michael Pritsch4, Jeremy Douglas Du Plessis5, Jonathan Shock5, Eva-Maria Schwienhorst-Stich6,7, Janina Zirkel7, Hanna Schrader6, Claudia Saavedra Irala1,2, Gonzalo Rubilar1, Carolin Gunesch1, Christa Kasang1, Thomas Zoller8, Ildiko Gagyor6, Sandra Parisi9,6.
Abstract
OBJECTIVES: Veterinary ivermectin (vet-IVM) has been used widely in Latin America against COVID-19, despite the lack of scientific evidence and potential risks. Widespread vet-IVM intake was also discovered against Chagas disease during a study in Bolivia prior to the pandemic. All vet-IVM-related data were extracted to understand this phenomenon, its extent and underlying factors and to discuss potential implications for the current pandemic.Entities:
Keywords: COVID-19; infection control; public health; tropical medicine
Mesh:
Substances:
Year: 2022 PMID: 36115669 PMCID: PMC9485649 DOI: 10.1136/bmjopen-2021-058572
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 3.006
Figure 1Mixed-methods convergent design using parallel data collection with an iterative approach. vet-IVM, veterinary ivermectin. * To further explore the theme on vet- IVM a veterinarian was purposefully sampled.Vet- IVM was not brought up purposefully in other qualitative interviews in order to assess its relevance compared to other treatments.
Overview of data collection and extraction for in-depth analysis of vet-IVM use against CD
| Household survey | Qualitative interviews | |
| Inclusion criteria |
At least 18 years old Resident municipality of Monteagudo One participant/household |
At least 18 years old Belonging at least to one of three groups: Patient with CD Relative of patient with CD Key informant (eg, health staff, traditional healer, member of national CD programme, veterinarian, PIV*) |
| Exclusion criteria |
Not present at the moment of study No informed consent given | No informed consent given |
| Sampling procedure | Multistage-stratified randomised sampling procedure: Stratification of all households into 17 health centre strata Calculation of households to include/stratum (proportional) Random selection of communities Random selection of households |
Purposeful sampling Snowball sampling |
| Total sample | 669 survey participants from 26 communities (9.8% of all households of Monteagudo municipality) | 14 in-depth interviews |
| Data extracted on vet-IVM |
Outcome: self-reported use of vet-IVM against CD Exposure variables of interest† vet-IVM mentioned as preventive method against CD | Narratives focusing on vet-IVM from: 8 in-depth interviews 2 focus group discussions 1 in-depth interview with a veterinarian focusing on vet-IVM use against CD |
*PIV: community volunteers responsible for vector surveillance.
†Exposure variables of interest: sociodemographic variables and other social determinants of health (eg, rurality, community access to electricity, presence of vectors, reported health access barriers), community and health centre strata, elements aligned to PMT, CD status, self-reported physical and emotional health status, number of symptoms potentially caused by CD.
CD, Chagas disease; PIV, Puesto de informacion vectorial; PMT, Protection Motivation Theory; vet-IVM, veterinary ivermectin.
Sociodemographic characteristics of the survey population
| Gender* | N=669 (%) |
| Female | 412 (61.8) |
| Male | 255 (38.2) |
| Age group (years)* | N=669 (%) |
| 18–25 | 95 (14.2) |
| 26–40 | 176 (26.3) |
| 41–60 | 248 (37.1) |
| 61–93 | 147 (22.0) |
| Highest educational level* | N=669 (%) |
| Incomplete schooling | 420 (62.8) |
| Complete secondary school | 120 (18.0) |
| Tertiary | 62 (9.3) |
| Academic | 63 (9.5) |
| Profession* | N=669 (%) |
| Household | 275 (41.4) |
| Farming | 151 (22.7) |
| Student | 47 (7.1) |
| Teacher | 38 (5.7) |
| Job within healthcare† | 22 (3.3) |
| Other | 131 (19.7) |
| Health insurance* | N=669 (%) |
| Yes | 232 (34.7) |
| No | 436 (65.3) |
| Source of information on CD | N=669 (%)MC |
| Healthcare centre | 295 (44.1) |
| Health campaign | 233 (34.8) |
| Experience of someone close | 215 (32.1) |
| Family | 204 (30.5) |
| Hospital | 182 (27.2) |
| Radio/TV | 155 (23.2) |
| School | 87 (13.0) |
| Social media | 21 (3.1) |
| Have children* | N=669 (%) |
| Yes | 548 (81.9) |
| No | 108 (16.1) |
| Tested for CD | N=669 (%) |
| Yes | 511 (76.4) |
| No | 153 (22.9) |
| Do not know | 5 (0.7) |
| CD serology result* | N=511 (%) |
| Positive | 236 (46.3) |
| Negative | 248 (48.6) |
| Do not know | 26 (5.1) |
*Non-respondents: gender=2 (0.3%), age=3 (0.5%), education=4 (0.6%), health insurance=1 (0.2%), profession=5 (0.7%), having children=13 (1.9%), CD serology result=1 (0.2%).
†Job within healthcare included health staff and people sought for professional advice on CD (including traditional healers, pharmacists and veterinarians).
CD, Chagas disease; MC, multiple choice.
Side-by-side display of quantitative and qualitative results of factors related to the use of vet-IVM against CD
| Categories | N (%) | Unadjusted (bivariate) | Adjusted (final model) | Verbatims | |||||
| OR | 95% CI | P value | aOR | 95% CI | P value | ||||
| Gender | Male | 255 (38.2) | 1 | 1 | “It’s more common among older people. Most of their children have already graduated from school, gone to university where they learn that there are medications for human use, free of charge. But those with the old beliefs: it is all about what helped his comrade. He will take what helped his fellow”. (Veterinarian) | ||||
| Female | 412 (61.8) | 0.82 | 0.55 to 1.23 | 0.35 | 0.85 | 0.21 to 1.43 | 0.218 | ||
| Age group (years) | 18–25 | 95 (14.2) | 1 | 1 | |||||
| 26–40 | 176 (26.3) | 4.15 | 1.21 to 14.31 |
| 6.25 | 0.58 to 17.36 | 0.182 | ||
| 41–60 | 248 (37.1) | 8.54 | 2.6 to 28.02 |
| 12.17 | 0.94 to 26.95 | 0.059 | ||
| 61–93 | 147 (22.0) | 11.46 | 3.43 to 38.29 |
| 17.01 | 1.24 to 36.55 |
| ||
| Education | Incomplete schooling | 420 (62.8) | 1 | 1 | |||||
| Complete schooling | 120 (18.0) | 0.5 | 0.28 to 0.9 |
| 0.49 | 0.29 to 1.56 | 0.356 | ||
| Tertiary | 62 (9.3) | 0.52 | 0.24 to 1.13 | 0.13 | 0.54 | 0.15 to 2.45 | 0.475 | ||
| Academic | 63 (9.5) | 0.12 | 0.03 to 0.48 |
| 0.12 | 0.01 to 0.78 |
| ||
| Information sources | |||||||||
| Experience of someone close | 215 (32.1) | 2.77 | 1.85 to 4.14 |
| 3.13 | 1.62 to 5.02 |
| “In Santa Cruz a man told me: ‘you are not going to get cured. You’ll be at the hospital in vain.[…] Leave and take Ivermectin!’[…] Back home happened the same thing, again and again, until I took it”. (Older women, advanced CD) | |
| Elements aligned to protection motivation theory | |||||||||
| Perceived effectivity of health system to care for CD | Strongly disagree | 16 (2.4) | 1 | 1 | “CD (serology) doesn’t become negative right away. This is why a lot of people have already taken Ivermectin. Because of the long time it takes for the test (serology) to get negative. They don’t believe much in the effectiveness of benznidazole”. (Rural physician) | ||||
| Disagree | 60 (9.0) | 1.44 | 0.36 to 5.77 | 0.748 | 1.35 | 0.06 to 4.83 | 0.572 | ||
| Uncertain | 86 (12.9) | 1.07 | 0.27 to 4.17 | 1 | 1.07 | 0.06 to 5.21 | 0.621 | ||
| Agree | 408 (61.0) | 1.01 | 0.28 to 3.62 | 1 | 0.95 | 0.09 to 6.11 | 0.773 | ||
| Strongly agree | 99 (14.8) | 0.38 | 0.09 to 1.62 | 0.181 | 0.38 | 0.02 to 1.88 | 0.15 | ||
| Self-rated health and disease status | |||||||||
| Health status | Very good | 22 (3.3) | 1 | 1 | “It’s both: people that are sick and have been diagnosed by laboratory and people that don't want to get sick, because there might be people affected (by CD) within the family. So, everyone takes it (Ivermectin) to prevent”. (Veterinarian) | ||||
| Good | 312 (46.6) | 1.3 | 0.29 to 5.81 | 1 | 1.26 | 0.01 to 4.28 | 0.324 | ||
| Fair | 311 (46.5) | 2.96 | 0.68 to 12.96 | 0.183 | 2.81 | 0.01 to 5.01 | 0.374 | ||
| Bad | 22 (3.3) | 6.92 | 1.29 to 37.29 |
| 7.5 | 0.06 to 16.61 | 0.769 | ||
| Very bad | 1 (0.1) | Inf | – | – | Inf | ||||
| Emotional health status | Very good | 25 (3.7) | 1 | 1 | “I went to all the doctors, then to a company who make medicines, they sell herbs, powders, solutions […]. After that I took Ivomec”. (Older woman, advanced CD) | ||||
| Good | 308 (46.0) | 0.88 | 0.25 to 3.1 | 0.742 | 0.85 | 0.06 to 16.61 | 0.99 | ||
| Fair | 311 (46.5) | 2.37 | 0.69 to 8.14 | 0.221 | 2.81 | 0.09 to 25.16 | 0.782 | ||
| Bad | 22 (3.3) | 2.16 | 0.45 to 10.32 | 0.446 | 7.5 | 0.02 to 9.10 | 0.574 | ||
| Very bad | 2 (0.3) | Inf | – | – | Inf | ||||
| Self-reported number of chronic symptoms | 0 | 384 (57.4) | 1 | 1 | “My colleagues tell them: take this antiparasitic drug for your cow and while you’re at it: take some 5–6 mL for yourself. It’s good against CD. Like, just as prevention-without knowing if the person is sick”. (Veterinarian) | ||||
| 1 | 108 (16.1) | 1.77 | 1.02 to 3.05 |
| 1.77 | 0.60 to 2.65 | 0.543 | ||
| 2 | 81 (12.1) | 1.36 | 0.71 to 2.61 | 0.378 | 1.16 | 0.20 to 1.64 | 0.295 | ||
| 3 | 41 (6.1) | 3.39 | 1.67 to 6.88 |
| 3.49 | 0.50 to 3.39 | 0.595 | ||
| 4 | 30 (4.5) | 2.8 | 1.21 to 6.45 |
| 2.36 | 0.23 to 2.42 | 0.617 | ||
| 5 | 19 (2.8) | 3.81 | 1.43 to 10.12 |
| 3.93 | 0.34 to 5.31 | 0.672 | ||
| 6 | 6 (0.8) | 6.53 | 0.9 to 47.39 | 0.092 | 6.73 | 0.06 to 64.36 | 0.684 | ||
| Test result of CD serology | Negative | 236 (46.3) | 1 | 1 | |||||
| Positive | 248 (48.6) | 4.07 | 2.42 to 6.86 |
| 3.89 | 1.39 to 6.20 |
| ||
| Do not know | 26 (5.1) | 1.92 | 1.04 to 3.53 |
| 1.68 | 0.23 to 9.16 | 0.683 | ||
| Never tested | 158 | 3.08 | 1.12 to 8.48 |
| 1.8 | ||||
| Perceived HC barriers in CD treatment | |||||||||
| Unavailability of biomedical treatment | 140 (20.9) | 2.14 | 1.38 to 3.31 |
| 2.3 | 1.45 to 5.18 |
| “Patients come here and ask for Ivermectin.[…] If there is no benznidazole, they have to try other things. What they really want is to get treated”. (Female nurse) | |
| Badly treated in health centre | 96 (14.3) | 1.77 | 1.07 to 2.94 |
| 1.8 | 0.65 to 2.79 | 0.425 | ||
| HC barriers encountered | Yes | 99 (14.8) | 1 | 1 | |||||
| No | 514 (76.8) | 0.67 | 0.4 to 1.14 | 0.147 | 0.66 | 0.63 to 3.00 | 0.431 | ||
| Did not try to access HC | 56 (8.4) | 1.28 | 0.6 to 2.73 | 0.559 | 1.23 | 0.87 to 8.46 | 0.086 | ||
Values in bold: P <0.05 (statistically significant).
aOR, adjusted OR; CD, Chagas disease; HC, healthcare; Inf, Infinite; vet-IVM, veterinary ivermectin.
Figure 2Bivariate analysis on factors associated with veterinary ivermectin intake, test for trend. Variable categories: education 0=no/incomplete schooling, 1=complete schooling (secondary), 2=tertiary education, 3=academic. Health status and emotional health status 1=very good, 2=good, 3=fair, 4=bad, 5=very bad. Perceived effectiveness of health system: responses to the question “If I go to the health center, I will get all the help I need to get cured”. Belief in adverse events of benznidazole (BNZ): responses to the question: ‘The treatment has strong negative effects’, both assessed on a 5-point Likert scale 1=strongly disagree, 2=disagree, 3=uncertain, 4=agree, 5=strongly agree. ns, p>0.05; *0.01