| Literature DB >> 35601400 |
Ramiro M da Silva1, Jane Megid1, Katie Hampson2, Aline Alves Scarpellini Campos3, Cintia S Higashi4, Fabíola S Medeiros4, Alexandra S Pereira5, Julio A Benavides1,2,6,7.
Abstract
Post-exposure prophylaxis (PEP) is necessary to prevent the fatal onset of rabies but requires optimization to avoid overuse in populations at risk of rabies. In Brazil, the incidence of dog bites remains high, with almost half of dog-bite patients not receiving the PEP recommended by the Ministry of Health guidelines between 2008 and 2017. In this study, we aimed to identify the factors that limit the appropriate prescribing of PEP by interviewing health professionals responsible for PEP administration and completion of the 'Information System on Diseases of Compulsory Declaration' (SINAN) form reporting human anti-rabies care for patients seeking health care after a dog bite. We conducted 147 questionnaires (45 questions each) in three Brazilian states (i.e., Rio Grande do Sul, Santa Catarina, Rio Grande do Norte) including questions related to the criteria used by professionals to classify a dog as "suspect" or "rabid", knowledge on PEP prescription guidelines, SINAN and communication with veterinarians. Our analyses showed that most health professionals delivering PEP in these three states struggle to identify a rabies "suspect" dog according to the Ministry of Health guidelines, and to indicate the adequate PEP regimen, with only 11% of professionals prescribing the appropriate PEP under various dog-bite patient scenarios. PEP knowledge score was higher among professionals trained on PEP guidelines and working in facilities with the highest incidence of dog bites. In contrast, PEP knowledge scores did not vary significantly between states, and were not correlated to the professional's level of experience, the number of colleagues available at the health unit or the professional's confidence on prescribing appropriate PEP. Our results suggest that knowledge gaps in PEP administration among health professionals of Brazil can be reduced by implementing training programs to differentiate among rabies risk scenarios, prescribe the corresponding appropriate PEP and improve communication between health and veterinary authorities.Entities:
Keywords: Latin America; One Health; PEP; bites; dogs; questionnaires; surveillance
Year: 2022 PMID: 35601400 PMCID: PMC9120864 DOI: 10.3389/fvets.2022.846994
Source DB: PubMed Journal: Front Vet Sci ISSN: 2297-1769
Figure 1Criteria used by health professionals to classify a dog as “suspect” of rabies or “rabid.” Reported criteria used by health professionals to (A) define a “rabid” and “suspect” dog, and (B) distinguish between a “suspect” and “rabid” dog. The y-axis represents the percentage of professionals that included that criterion (out of 147 respondents). Respondents could mention more than one criteria.
Figure 2Actions of health professionals related to a dog's 10-day period observation required to assess its rabies status. (A) Person in charge of the observation period. Respondents could mention more than one criterion. (B) Reported actions allowing the health professional to receive the outcome of the 10-day observation period (C) Action taken by the health professional in the case that the observation outcome is not received.
Factors influencing the professional's PEP Knowledge Score (KS).
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|---|---|---|---|
| Training on PEP administration (yes) | 0.30 | 0.13 | 0.02 |
| Rio Grande do Sul | −0.22 | 0.16 | 0.16 |
| Santa Catarina | −0.20 | 0.17 | 0.23 |
| Cities with low notification level | −0.31 | 0.13 | 0.01 |
| Number of professionals filling the SINAN form | −0.00 | 0.01 | 0.99 |
| Number of years completing the SINAN form | −0.01 | 0.01 | 0.22 |
| Professional's confidence on applying PEP (none) | −0.22 | 0.15 | 0.14 |
Results from a generalized linear model (with Poisson distribution) testing the correlation between professional's PEP KS (0–4) and several variables. The state ID variable used the state of Rio Grande do Norte as the baseline. Professional's confidence on applying PEP was included as a binomial variable divided between “none” or “low/medium/high,” which was selected over a variable with 4 categories (i.e., none, low, medium and high) based on the model's higher AIC when including the latest.
Significant effect.