Quality Assessments of HMO Diagnosis Databases Used to Monitor Childhood Vaccine Safety

2004 ◽  
Vol 43 (02) ◽  
pp. 163-170 ◽  
Author(s):  
L. Drew ◽  
F. DeStefano ◽  
J. Maher ◽  
K. Bohlke ◽  
V. Immanuel ◽  
...  

Summary Objective: To assess the quality of automated diagnoses extracted from medical care databases by the Vaccine Safety Datalink (VSD) study. Methods: Two methods are used to assess quality of VSD diagnosis data. The first method compares common automated and abstracted diagnostic categories (“outcomes”) in 1-2% simple random samples of study populations. The second method estimates positive predictive values of automated diagnosis codes used to identify potential cases of rare conditions (e.g., acute ataxia) for inclusion in nested case-control medical record abstraction studies. Results: There was good agreement (64-68%) between automated and abstracted outcomes in the 1-2% simple random samples at 3 of the 4 VSD sites and poor agreement (44%) at 1 site. Overall at 3 sites, 56% of children with automated cerebella ataxia codes (ICD-9 = 334) and 22% with “lack of coordination” codes (ICD-9 = 781.3) met objective clinical criteria for acute ataxia. Conclusions: The misclassification error rates for automated screening outcomes substantially reduce the power of screening analyses and limit usefulness of screening analyses to moderate to strong vaccine-outcome associations. Medical record verification of outcomes is needed for definitive assessments.

2015 ◽  
Vol 36 (3) ◽  
pp. 49-55
Author(s):  
Gláucia de Souza Omori Maier ◽  
Eleine Aparecida Penha Martins ◽  
Mara Solange Gomes Dellaroza

Objective: to assess quality indicators related to the pre-hospital time for patients with acute coronary syndrome.Method: collection took place at a tertiary hospital in Paraná between 2012 and 2013, through interviews and a medical record review. 94 patients participated, 52.1% male, 78.7% who were over 50 years old, 46.9% studied until the fourth grade, 60.6% were diagnosed with acute myocardial infarction.Results: the outcomes were the time between the onset of symptoms and the decision to seek help with an average of 1022min ± 343.13, door-to-door 805min ± 181.78; and reperfusion, 455min ± 364.8. The choice to seek out care within 60 min occurred in patients who were having a heart attack, and longer than 60 min in those with a history of heart attack or prior catheterization.Conclusion: We concluded that the pre-hospital indicators studied interfered with the quality of care.


2011 ◽  
Vol 26 (S2) ◽  
pp. 1520-1520
Author(s):  
E. Valmisa ◽  
J. Galan

IntroductionQuality of life in patients with schizophrenia has been associated with severity of psychotic symptoms, adverse events and insight.ObjectivesDetermine variables related to quality of life. This communication is focused on variables directly related to pharmacological treatment.MethodsNon-interventional, multicentre, cross-sectional study. Outpatients with stable schizophrenia (according to clinical criteria) who had the last acute episode at least 2 months before were included. EuroQol-5D was used to assess quality of life, and GAF to assess functioning.Results941 patients were included in the study and 931 patients were analyzed. Mean index EuroQol-5D score (range: from -0.594 to1) was 0.7 (CI95%: 0.7,0.8), on EuroQol-5D Visual Analog Scale (VAS) was 65.4 (CI95%: 64.2,66.6) and GAF mean score was 59.7 (CI95%: 58.7,60.8).Variables with correlations statistically significant (p < 0.05) on quality of life and functioning were: no. of antipsychotics, length on antipsychotic treatment, no. of non-antipsychotic drugs, no. total of drugs, no. of adverse events (AEs), no. of moderate AEs, no. of severe AEs and severity of AEs (sum of severity of every AEs from 1 to 5).ConclusionIn this sample a difference in quality of life and functioning in patients based on the number of treatments (antipsychotic and non-antipsychotic), length with antipsychotic treatment and adverse events (any severity) was shown. In order not to impair quality of life and functioning, the least number of drugs should be used and attitude towards medication should be worked.Study sponsored by AstraZeneca Spain.


Endoscopy ◽  
2006 ◽  
Vol 37 (12) ◽  
Author(s):  
D Debnath ◽  
M Hutcheson ◽  
JK Hussey

Author(s):  
Nur Maimun ◽  
Jihan Natassa ◽  
Wen Via Trisna ◽  
Yeye Supriatin

The accuracy in administering the diagnosis code was the important matter for medical recorder, quality of data was the most important thing for health information management of medical recorder. This study aims to know the coder competency for accuracy and precision of using ICD 10 at X Hospital in Pekanbaru. This study was a qualitative method with case study implementation from five informan. The result show that medical personnel (doctor) have never received a training about coding, doctors writing that hard and difficult to read, failure for making diagnoses code or procedures, doctor used an usual abbreviations that are not standard, theres still an officer who are not understand about the nomenclature and mastering anatomy phatology, facilities and infrastructure were supported for accuracy and precision of the existing code. The errors of coding always happen because there is a human error. The accuracy and precision in coding very influence against the cost of INA CBGs, medical and the committee did most of the work in the case of severity level III, while medical record had a role in monitoring or evaluation of coding implementation. If there are resumes that is not clearly case mix team check file needed medical record the result the diagnoses or coding for conformity. Keywords: coder competency, accuracy and precision of coding, ICD 10


Author(s):  
José Andrade Louzado ◽  
Matheus Lopes Cortes ◽  
Márcio Galvão Oliveira ◽  
Vanessa Moraes Bezerra ◽  
Sóstenes Mistro ◽  
...  

Background: This study aimed to identify the factors associated with the quality of life of young workers of a Social Work of Industry Unit. Methods: This was a cross-sectional study conducted on 1270 workers. Data were collected using a digital questionnaire built on the KoBoToolbox platform that included the EUROHIS-QOL eight-item index to assess quality of life. Demographic, socioeconomic, behavioral, and clinical variables were considered explanatory. The associations were analyzed using the ordinal logistic regression model at a 5% significance level. Results: Men and women had a mean quality of life of 31.1 and 29.4, respectively. Workers that rated their health as “very good” had an odds ratio of 7.4 (95% confidence interval (CI) = 5.17–10.81), and those who rated it as “good” had an odds ratio of 2.9 (95% CI = 2.31–3.77). Both these groups of workers were more likely to have higher levels of quality of life as compared to workers with “regular”, “poor”, or “very poor” self-rated health. Physically active individuals were 30% more likely to have higher levels of quality of life (odds ratio = 1.3; 95% CI = 1.08–1.65). After adjusting the model by gender, age group, marital status, socioeconomic class, self-rated health, nutritional status, and risky alcohol consumption, the odds ratio of active individuals remained stable (odds ratio = 1.3; 95% CI = 1.05–1.66). Conclusions: In the present study, self-rated health, physical activity, and gender were associated with young workers’ quality of life.


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