El Papel del Bibliotecario Integrado en las Comisiones Clínicas, Docencia Postgraduada e Investigación en el Área Sanitaria Este de Málaga-Axarquía (ASEMA)

The concept of Library of the Health Sciences has noticeably changed during the last decade. The embedded librarian is a recently emerged figure, who works as a member of multidisciplinary groups with the mission of providing them with relevant literature as well as media for acquisition, exchange and dissemination of information. This figure has been gradually implanted in some committees of the ASEMA. The objective of the present work is to describe the functions of the embedded librarian and its results in our area.

Evaluation of two HbA1c point-of-care analyzers.

BACKGROUND Measurement of HbA1c is the most important parameter to assess glycemic control in diabetic patients. Different point-of-care devices for HbA1c are available. The aim of this study was to evaluate two point-of-care testing (POCT) analyzers (DCA Vantage from Siemens and Afinion from Axis-Shield). We studied the bias and precision as well as interference from carbamylated hemoglobin. METHODS Bias of the POCT analyzers was obtained by measuring 53 blood samples from diabetic patients with a wide range of HbA1c, 4%-14% (20-130 mmol/mol), and comparing the results with those obtained by the laboratory method: HPLC HA 8160 Menarini. Precision was performed by 20 successive determinations of two samples with low 4.2% (22 mmol/mol) and high 9.5% (80 mmol/mol) HbA1c values. The possible interference from carbamylated hemoglobin was studied using 25 samples from patients with chronic renal failure. RESULTS The means of the differences between measurements performed by each POCT analyzer and the laboratory method (95% confidence interval) were: 0.28% (p<0.005) (0.10-0.44) for DCA and 0.27% (p<0.001) (0.19-0.35) for Afinion. Correlation coefficients were: r=0.973 for DCA, and r=0.991 for Afinion. The mean bias observed by using samples from chronic renal failure patients were 0.2 (range -0.4, 0.4) for DCA and 0.2 (-0.2, 0.5) for Afinion. Imprecision results were: CV=3.1% (high HbA1c) and 2.97% (low HbA1c) for DCA, CV=1.95% (high HbA1c) and 2.66% (low HbA1c) for Afinion. CONCLUSIONS Both POCT analyzers for HbA1c show good correlation with the laboratory method and acceptable precision.

Is hospital discharge administrative data an appropriate source of information for cancer registries purposes? Some insights from four Spanish registries

Background. The use of hospital discharge administrative data (HDAD) has been recommended for automating, improving, even substituting, population-based cancer registries. The frequency of false positive and false negative cases recommends local validation. Methods. The aim of this study was to detect newly diagnosed, false positive and false negative cases of cancer from hospital discharge claims, using four Spanish population-based cancer registries as the gold standard. Prostate cancer was used as a case study. Results. A total of 2286 incident cases of prostate cancer registered in 2000 were used for validation. In the most sensitive algorithm (that using five diagnostic codes), estimates for Sensitivity ranged from 14.5% (CI95% 10.3-19.6) to 45.7% (CI95% 41.4-50.1). In the most predictive algorithm (that using five diagnostic and five surgical codes) Positive Predictive Value estimates ranged from 55.9% (CI95% 42.4-68.8) to 74.3% (CI95% 67.0-80.6). The most frequent reason for false positive cases was the number of prevalent cases inadequately considered as newly diagnosed cancers, ranging from 61.1% to 82.3% of false positive cases. The most frequent reason for false negative cases was related to the number of cases not attended in hospital settings. In this case, figures ranged from 34.4% to 69.7% of false negative cases, in the most predictive algorithm. Conclusions. HDAD might be a helpful tool for cancer registries to reach their goals. The findings suggest that, for automating cancer registries, algorithms combining diagnoses and procedures are the best option. However, for cancer surveillance purposes, in those cancers like prostate cancer in which care is not only hospital-based, combining inpatient and outpatient information will be required.

Estudio de los exitus con diagnóstico secundario de desnutrición en un hospital de tercer nivel.

BACKGROUND: Malnutrition is a major public health problems, according to WHO, is the leading cause of death, when it affects the group of hospitalized patients, making denominating separate entity "hospital malnutrition". OBJECTIVES: The overall objective is to quantify the main diagnoses frequently high, causing exitus, with secondary diagnosis of malnutrition. METHODS: This is a descriptive study, which included all hospital discharges in 2011 and first half of 2012, which have been exitus and whose secondary diagnosis of malnutrition, with the total of 33. We performed a descriptive analysis, effected the Mann-Whitney nonparametric test (p < 0.05). RESULTS: The most frequent main diagnoses among 33 analyzed are high sepsis (12.1%), liver metastases (9.1%), pneumonia (6.1%), acute respiratory failure (6.1%) and renal acute renal (6.1%). CONCLUSIONS: Although the most frequent primary diagnosis of sepsis, by grouping the diagnoses, the most frequent DRG is respiratory disease, so it has to make comprehensive and quality coding to adjust the relative weight of the same reality. It is essential to specify the source of clinical information used for coding, the degree of malnutrition, for greater specificity in the data.

Guía farmacoterapéutica de hospital : Sistema Sanitario Público de Andalucía 2014

Actualización enero de 2015. Esta guía se ha realizado en virtud de un convenio de colaboración entre el Servicio Andaluz de Salud y la Sociedad Andaluza de Famacéuticos de Hospital. Grupo hospitalario para la evaluación de medicamentos en Andalucía (GHEMA).