Galli, C. Dodds eds. Gile, D. Meta 31 1 : Meta 34 4 : Gran, L. Aspects of applied and experimental research on conference interpretation. Udine Italia : Campanotto Editore. Hobart-Burela, M. Horguelin, P. La traduction, une profession. Kopczynski, A.
Snell-Hornby, F. Kaindl eds. Kurz, I.
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The Interpreters' Newsletter 5: Lederer, M. Lochner, R. Babel 23 3 : Loose, P. Martin, A. Gamero eds. Meak, L. Moser-Mercer, B. Terminologie et traduction 2 3 : Nekrassoff, V. En Horguelin, P.
Evaluación de un sistema de información electrónica para el monitoreo de enfermedades crónicas
Nilski, T. Conference Interpretation in Canada. Ottawa: Queen's Printer for Canada. O'Neill, M. A physician's perspective". Fischbach ed. Schweda-Nicholson, N. Multilingua 5 2 : Seleskovitch, D. Paris, Minard.
Paris: Publications de la Sorbonne. Sliosberg, A.
La interpretación de congresos de medicina:
Babel 17 1 : Snell-Hornby, M. Translation studies: an interdiscipline. Vanhecke, K. Due to the importance of the consistency in the data, it was established a step by step evaluation system with the following elements: 1 the implementation of specific indicators that evaluate weaknesses and strengths of the record, people and supplies; and 2 the review of the medical record in its content and legal regulations.
This will led us, in an immediate future, to design and establish strategies that improve the detection, control and management. This will give the opportunity of having these documents on time and properly done with valid data which for the public healthcare is crucial to take actions.
Because of the importance of evaluating and report the experiences and development of the implemented program or system, the objective of this study was to review the records of the Information System on Chronic Diseases SIC and its relation with the data registered in the chronic disease records like hypertension, diabetes mellitus, obesity, dyslipidemia and metabolic syndrome and their validation with the information in the clinical records.
A transversal retrospective and correlational study was done. It was obtained an N sample for diabetes of , for hypertension , obesity and dyslipidemia with a total of n representative n of 3, cases. To select the representative number of clinical records to be reviewed, it was done a stratified sampling by stages Figure 1.
First, proportional to the frequency of different pathologies and their distribution in the 13 sanitarian regions, where the number of records to be reviewed was defined. Second, the selection of medical units was made randomly and by list of the strata units and the units by health region resulting in units to be reviewed. The selection criteria of the medical units were the following: they must have a record of patients with chronic diseases SIC; to have the number of registered patients for the sample of the records and assigned pathologies.
It was decided to note down the day of the register and the calculation of the samples because the data of the SIC is modified every day. Finally, the selection of the revised records was done randomly using a list of random numbers.
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The selection of the units where the records were revised, was based on the total of n registered in the SIC health units and by the proportion of the diseases records by medical units of the health regions. This selection was convenient and had the following criteria: they must have access, a place to check the records randomly selected according to the prevalence of the chronic diseases NCCD.
This format was designed to be able to change the values to qualitative ones and then do a correlated analysis. The variables assessed for diabetes mellitus were: the number of subsequently consultation in the last 60 days; register of glycated hemoglobin in the last 12 months; the register of how many intakes he had a year; the report on the value of glycated hemoglobin with HbA1C less that 7, between 7 and 9 and greater than 9 ; demographic data stratification by age and gender group, years of treatment and gender, and comorbidity and gender.
The quality care was determined by the percentage of the basic measurements in the last consultation like weight, waist circumference, blood pressure BP , glucose and foot examination, and the pharmacological treatment. In the case of obesity, if they had consultation in the last 60 days; if they have the register of the body mass index BMI ; patients with BMI in control and with BMI not controlled. The data analysis was done using descriptive statistics, correlation of parametric data. The non parametric data was categorized correlating the frequency values reported in the Information System on Chronic Diseases SIC with the actions done based on the record.
The correlation was used to explore the relation between the pathology recorded in the Information System on Chronic Diseases SIC , also the appropriate register and the medical record, the management indicators in each pathology were reviewed. To check the validity of the data in terms of the quality care, it was reviewed the excellence in the chronic disease care; this also ensures the validity and reliability of the collected data. In order to do this, the following indicators were evaluated: completeness, which validated the empty fields in crucial variables like birth date, and affiliation number to the Popular Health Insurance.
The data consistency validated that the prescribed treatment was consistent with the patient pathology. The data accuracy validated the non duplicity of patients and of the personal values like the affiliation number and address. The congruency was validated with the measurements to each patient.
There were a total of 4, pathologies which were diabetes mellitus type 2, hypertension, obesity and dyslipidemia; the division of the reviewed records by pathology was like this: diabetes mellitus type 2 ; hypertension ; obesity ; dyslipidemia The result of the records reviewed was as follows: diabetes mellitus type 2 The basic measurements in the revision card were reviewed, they show that The diabetes mellitus prevalence was as follows In the case of obesity Patients with dyslipidemia The reviewed records were segmented into patients with two, three or four pathologies, this demonstrated that the diabetes mellitus type 2 and hypertension patients were from which A comparative analysis of records to be reviewed 3, was done, it was proved that the referred pathologies were in fact the ones reported in the record.
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The diagram 2 shows how the quality, veracity and excellence indicators are automatically plotted for comparative purposes of the 32 Mexican states and with average results nationally. The diagram 3 summarizes the control model and the follow up of the chronic diseases indicators which are registered every day and for each patient, and which is reported in culmed medical units.
This study shows the importance of having and electronic record system of the chronic diseases to control and manage them in a dynamic way and with data quality indicators. It was able to determine the consistency chronic pathologies electronic record, like diabetes, obesity, hypertension and dyslipidemia and their management; as well as the information in the clinical records of the medical units that offer a first level care for the chronic diseases which gives quality and valid data.
This report rectifies the gap in the health information systems of the chronic diseases with validated indicators that can be found in other health systems. This electronic health information consists of four important categories which are: general characteristics, quality care, disease control and pharmacological treatment; it also includes the immediate report of the forth mentioned characteristics in the tables and figures and the indicators report on the quality, veracity and excellence evaluation nationally and between the 32 Mexican states.
This indicators help in the assessment and functionality of an information system for the policies, planning, institutions and human resources, and in the financing and infrastructure. It also helps to promote heterogeneity of the data and facilitates the comparison by regions, states and with other countries, especially in Latin-America where in previous studies an analysis of the health systems was carried out.
It showed that even when the Latin-American systems are heterogeneous in their indicators, Mexico and Costa Rica had higher indicators. The importance of having the data in an electronic way in all the country, is that we will have the opportunity of making data comparisons with other information sources like the Latin-American Network for the Strengthening of the Health Information System known as RELACSIS 8 in Spanish, which is a longitudinal Latin-American repository, generated in one or more medical care encounters.
The electronic record includes demographic data of the patient, the evolution or case notes, problem lists, or diagnosis, drugs, vital signs, lab result similar to the reported in this system among others. This will help the comparison of the patient care quality, the doctor management; it will help in decision making based on evidence, quality management and the report of the clinical care results. Having an electronic system in health care has implications and benefits in at least three basic points: 1 Gives essential elements for the diagnosis to the health policy makes, 2 to the professionals in health care and 3 their patients and their management.
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