6 research outputs found

    Prevalence and factors associated with family dysfunction in patients at the first level of care

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    "Introducción: La funcionalidad familiar influye en el proceso salud-enfermedad, es por ello que se destaca su importancia en el primer nivel de atención. No existe evidencia concluyente sobre los factores que influyen en la disfunción familiar en pacientes atendidos en el primer nivel de atención. Objetivo: Determinar la prevalencia y factores asociados a disfunción familiar en pacientes atendidos en el primer nivel de atención. Métodos: Estudio transversal de análisis secundario de datos en pacientes atendidos en 7 establecimientos del primer nivel de atención de Lima, Perú, en 2019. Se utilizó el cuestionario Apgar Familiar y se indagó su asociación con factores demográficos-socioeconómicos. Se estimaron razones de prevalencia (RP) a través de modelos de regresión simple y múltiple. Resultados: De 150 pacientes, la mayoría fueron mujeres (81,3 %) y la mediana de edad fue de 32 años. El 14 % presentó disfunción familiar. Los pacientes con acceso a servicio de agua tenían menor prevalencia de disfunción familiar (RP: 0,04; IC95 %: 0,001 - 0,47). Residir entre 1 a 10 años en Lima representó menor prevalencia de disfunción familiar; en comparación con pacientes recién llegados a la capital (menos de 1 año) (RP: 0,15; IC95 %: 0,04 - 0,62). Conclusiones: La prevalencia de disfunción familiar en pacientes atendidos en primer nivel de atención es baja. Tener acceso a servicio de agua y residir entre 1 a 10 años en la capital influyó en una menor prevalencia de disfunción familiar.

    Prevalence and factors associated with family dysfunction in patients at the first level of care

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    "Introducción: La funcionalidad familiar influye en el proceso salud-enfermedad, es por ello que se destaca su importancia en el primer nivel de atención. No existe evidencia concluyente sobre los factores que influyen en la disfunción familiar en pacientes atendidos en el primer nivel de atención. Objetivo: Determinar la prevalencia y factores asociados a disfunción familiar en pacientes atendidos en el primer nivel de atención. Métodos: Estudio transversal de análisis secundario de datos en pacientes atendidos en 7 establecimientos del primer nivel de atención de Lima, Perú, en 2019. Se utilizó el cuestionario Apgar Familiar y se indagó su asociación con factores demográficos-socioeconómicos. Se estimaron razones de prevalencia (RP) a través de modelos de regresión simple y múltiple. Resultados: De 150 pacientes, la mayoría fueron mujeres (81,3 %) y la mediana de edad fue de 32 años. El 14 % presentó disfunción familiar. Los pacientes con acceso a servicio de agua tenían menor prevalencia de disfunción familiar (RP: 0,04; IC95 %: 0,001 - 0,47). Residir entre 1 a 10 años en Lima representó menor prevalencia de disfunción familiar; en comparación con pacientes recién llegados a la capital (menos de 1 año) (RP: 0,15; IC95 %: 0,04 - 0,62). Conclusiones: La prevalencia de disfunción familiar en pacientes atendidos en primer nivel de atención es baja. Tener acceso a servicio de agua y residir entre 1 a 10 años en la capital influyó en una menor prevalencia de disfunción familiar.

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

    No full text
    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical science. © The Author(s) 2019. Published by Oxford University Press

    Enhanced infection prophylaxis reduces mortality in severely immunosuppressed HIV-infected adults and older children initiating antiretroviral therapy in Kenya, Malawi, Uganda and Zimbabwe: the REALITY trial

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    Meeting abstract FRAB0101LB from 21st International AIDS Conference 18–22 July 2016, Durban, South Africa. Introduction: Mortality from infections is high in the first 6 months of antiretroviral therapy (ART) among HIV‐infected adults and children with advanced disease in sub‐Saharan Africa. Whether an enhanced package of infection prophylaxis at ART initiation would reduce mortality is unknown. Methods: The REALITY 2×2×2 factorial open‐label trial (ISRCTN43622374) randomized ART‐naïve HIV‐infected adults and children >5 years with CD4 <100 cells/mm3. This randomization compared initiating ART with enhanced prophylaxis (continuous cotrimoxazole plus 12 weeks isoniazid/pyridoxine (anti‐tuberculosis) and fluconazole (anti‐cryptococcal/candida), 5 days azithromycin (anti‐bacterial/protozoal) and single‐dose albendazole (anti‐helminth)), versus standard‐of‐care cotrimoxazole. Isoniazid/pyridoxine/cotrimoxazole was formulated as a scored fixed‐dose combination. Two other randomizations investigated 12‐week adjunctive raltegravir or supplementary food. The primary endpoint was 24‐week mortality. Results: 1805 eligible adults (n = 1733; 96.0%) and children/adolescents (n = 72; 4.0%) (median 36 years; 53.2% male) were randomized to enhanced (n = 906) or standard prophylaxis (n = 899) and followed for 48 weeks (3.8% loss‐to‐follow‐up). Median baseline CD4 was 36 cells/mm3 (IQR: 16–62) but 47.3% were WHO Stage 1/2. 80 (8.9%) enhanced versus 108(12.2%) standard prophylaxis died before 24 weeks (adjusted hazard ratio (aHR) = 0.73 (95% CI: 0.54–0.97) p = 0.03; Figure 1) and 98(11.0%) versus 127(14.4%) respectively died before 48 weeks (aHR = 0.75 (0.58–0.98) p = 0.04), with no evidence of interaction with the two other randomizations (p > 0.8). Enhanced prophylaxis significantly reduced incidence of tuberculosis (p = 0.02), cryptococcal disease (p = 0.01), oral/oesophageal candidiasis (p = 0.02), deaths of unknown cause (p = 0.02) and (marginally) hospitalisations (p = 0.06) but not presumed severe bacterial infections (p = 0.38). Serious and grade 4 adverse events were marginally less common with enhanced prophylaxis (p = 0.06). CD4 increases and VL suppression were similar between groups (p > 0.2). Conclusions: Enhanced infection prophylaxis at ART initiation reduces early mortality by 25% among HIV‐infected adults and children with advanced disease. The pill burden did not adversely affect VL suppression. Policy makers should consider adopting and implementing this low‐cost broad infection prevention package which could save 3.3 lives for every 100 individuals treated
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