Background: The deterioration of Venezuela's health system in recent years undoubtedly contributes to an increased impact of the COVID-19 pandemic. Understanding healthcare workers' (HCWs) knowledge, attitudes, and practices (KAPs) toward COVID-19 in the early stages of the pandemic could inform their medical training and improve their preparedness.Methods: A online national cross-sectional survey was conducted between May 26th and May 30th, 2020, to assess KAPs among HCWs in Venezuela.Results: A total of 1,441 HCWs from all 24 regions of the country responded to the survey. The mean age of the HCWs was 44 (SD [standard deviation] 14) years; most were women (66.4%). Most HCWs were specialized doctors (48%), followed by nurses (13%) and resident doctors (12.3%). The majority of HCWs had good knowledge (76.3%), obtained information mainly from scientific literature (85.4%); had negative attitudes (53.6%), felt uncomfortable with their work during the current pandemic (59.8%); and reported appropriate practices (76.9%). However, participation in COVID-19 related training was absent in more than half of the HCWs. Positive attitudes were significantly more frequent in frontline workers than in non-frontline workers (p = 0.001). Bioanalysts, students, and doctors were more likely to have good knowledge; participating in training was a predictor for positive attitudes and older age was an appropriate practice predictor.Conclusions: HCWs, knowledge in Venezuela could be improved by strengthening education and training programs. Strategies should focus on reducing fear and improving attitudes toward the care of COVID-19 patients, as well as the promotion of preventive practices.
Background We have here assessed the impact of demographic, clinical, and treatment compliance characteristics on health-related quality of life (HRQoL) of Venezuelan patients with systemic lupus erythematosus (SLE). We have used a disease-specific questionnaire, the Lupus Quality of Life (LupusQoL), validated in our patient population, to measure HRQoL. Methods A cross-sectional study was conducted among 100 patients with SLE from outpatient clinics. Patients completed a form with demographic, clinical, and treatment compliance data, and the LupusQoL questionnaire. HRQoL was classified as better or worse according to previously established cut-off points for this patient population. Spearman’s r test was used to determine the correlations between age, years of education, disease duration, SLEDAI, and SLICC-DI with the eight domains of the LupusQoL. Mann–Whitney U test was used to compare the HRQoL between the two groups of patients according to treatment compliance. Binomial logistic regression using the backward stepwise selection method was performed to identify the risk factors associated with each of the eight domains of the LupusQoL among patients with inactive (SLEDAI < 4) and active (SLEDAI ≥ 4) SLE. Results HRQoL of our patients was classified as better in all domains of the LupusQoL. Age correlated negatively with all domains of the LupusQoL, except with “burden to others”, and disease activity correlated negatively with all domains of the LupusQoL, except with “intimate relationships” and “burden to others” (p < 0.05). Patients who fully complied with indicated treatment had higher scores in “physical health” domain compared to patients who did not comply with at least one of the prescribed medications (p < 0.05). In patients with active SLE, a risk factor associated with worse “planning” and “intimate relationships” was advanced age, while having had SLE flare-ups in the previous six months was a risk factor associated with worse “physical health” (p < 0.05). Conclusion Age and disease activity were negatively correlated with almost all domains of the LupusQoL, and treatment compliance was associated with higher score in the “physical health” domain. Disease control and treatment compliance should be the main goals for a better HRQoL in our patients with SLE.
La enfermedad por Coronavirus 2019 (COVID-19) continúa siendo un serio problema de salud pública en todo el mundo, sin embargo, hasta la fecha, existe información limitada sobre el comportamiento de esta pandemia en América Latina y en particular en Venezuela. En este trabajo se describe la experiencia del Hospital Universitario de Caracas (HUC) durante la pandemia de la COVID-19. Posterior al reporte del primer caso de infección en el país el 13 de marzo del 2020, el HUC instauró una carpa para la atención y diagnóstico de pacientes sospechosos de la COVID-19; para el 31 de agosto un total de 6 532 pacientes habían sido atendidos en el HUC, y se habían realizado 1 589 pruebas de PCR-RT, confirmándose la infección en 732 (46 %) pacientes, con una edad media de 47 años (12-82), siendo la mayoría hombres (57,7 %). El subregistro de casos ha sido un factor común en el desarrollo de la pandemia COVID-19 en todos los países, Venezuela no es la excepción. Los estudios prospectivos nos advierten de una mayor frecuencia de eventos catastróficos en las próximas décadas, por lo que se hace necesario preparar a las sociedades para anticipar y gestionar los riesgos, esta pandemia puede ser la primera de muchas por venir.
BackgroundWe have here assessed the impact of demographic, clinical, and treatment compliance characteristics on health-related quality of life (HRQoL) of Venezuelan patients with systemic lupus erythematosus (SLE). We have used a disease-specific questionnaire, the Lupus Quality of Life (LupusQoL), validated in our patient population, to measure HRQoL.MethodsA cross-sectional study was conducted among 100 patients with SLE from outpatient clinic. Patients completed a form with demographic, clinical, and treatment compliance data, and the LupusQoL questionnaire. HRQoL was classified as better or worse according to the cutoff points previously established for this patient population. Spearman’s r test was used to determine the correlations between age, years of education, disease duration, SLEDAI, and SLICC-DI with the eight domains of the LupusQoL. Mann–Whitney U test was used to compare HRQoL between the two groups of patients according to treatment compliance. Binomial logistic regression using the backward successive step selection method was performed to identified the risk factors associated with each of the eight domains of the LupusQoL between patients with inactive SLE (SLEDAI < 4) and active (SLEDAI ≥ 4).ResultsHRQoL of our patients was classified as better in all domains of the LupusQoL. Age correlated negatively with all domains of the LupusQoL, except with “burden to others”, and disease activity correlated negatively with all domains of the LupusQoL, except with “intimate relationships” and “burden to others” (p < 0.05). Patients who fully complied with indicated treatment had higher scores in “physical health” domain compared to patients who did not comply with at least one of the prescribed medications (p < 0.05). In patients with active SLE, a risk factor associated with worse “planning” and “intimate relationships” was older age, while having had SLE flare-ups in the previous six months was a risk factor associated with worse “physical health” (p < 0.05).ConclusionAge and disease activity were negatively correlated with almost all domains of the LupusQoL, and treatment compliance was associated with higher score in the “physical health” domain. Disease control and treatment compliance should be the main goals for a better HRQoL in our patients with SLE.
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