scholarly journals Risk Factors for Neonatal Depression in a Regional Public Hospital, Santos, Brazil, 2013

2017 ◽  
Vol 1 (2) ◽  
pp. 7-11
Author(s):  
Tulio Konstantyner
Keyword(s):  
Risk Factors ◽  
Public Hospital

scholarly journals Risk factors for medication errors in the electronic and manual prescription

2016 ◽  
Vol 24 (0) ◽  
Author(s):  
Cris Renata Grou Volpe ◽  
Eveline Maria Magalhães de Melo ◽  
Lucas Barbosa de Aguiar ◽  
Diana Lúcia Moura Pinho ◽  
Marina Morato Stival
Keyword(s):  
Risk Factors ◽  
Retrospective Study ◽  
Medication Errors ◽  
Medical Records ◽  
Public Hospital ◽  
Study Data ◽  
Electronic Records ◽  
Brand Name ◽  
Electronic Prescription ◽  
Medication Process

ABSTRACT Objective: to compare electronic and manual prescriptions of a public hospital of Brasilia, identifying risk factors for the occurrence of medication errors. Method: descriptive-exploratory, comparative and retrospective study. Data collection occurred from July 2012 to January 2013, using an instrument for the review of the information contained in medical records related to the medication process. A total of 190 manual and 199 electronic records composed the sample, with 2027 prescriptions each. Results: compared to the manual prescription, a significant reduction was observed in the risk factors after implantation of the electronic prescription, in items such as "lack of the form of dilution" (71.1% to 22.3%) and "prescription with brand name" (99.5% to 31.5%). Conversely, the risk factors "no check" and "lack of CRM of the prescriber" increased. The lack of the allergy registration and the occurrences related to medication were the same for both groups. Conclusion: generally, the use of the electronic prescription system was associated with a significant reduction in risk factors for medication errors, concerning the following aspects: illegibility, prescription with brand name and presence of essential items that provide a safe and effective prescription.

scholarly journals Application of Disease Pattern Analysis with Lifestyle Risk Factor for Healthcare Promotion Service

2019 ◽  
Author(s):  
Cho Young Sung ◽  
Jeong Seon-phil
Keyword(s):  
Risk Factors ◽  
Public Hospital ◽  
Medical Center ◽  
Discharge Summary ◽  
Critical Pathway ◽  
Clinical Method ◽  
The Public ◽  
Lifestyle Risk Factors ◽  
Disease Pattern ◽  
Lifestyle Risk

Lately, the Critical Pathway(CP) of Electronic Medical Record(EMR) is used to the guideline for a treatment in the public hospital. We propose a healthcare promotion service using disease pattern with lifestyle risk factors. We classify a medical historical patient data with disease codes with lifestyle risk factors (hypertension, diabetes, smoking, overweight, excessive alcohol intake, and low physical activity) to make the lifestyle risk factors through the classification. We finally make the clusters of disease code with lifestyle risk factors using the medical historical data based on EMR's electronic discharge summary data. As the result of that, we do a healthcare recommending service based on the disease pattern with lifestyle risk. We can build a medical help desk of a public hospital to support people as we check into the public hospital; how to get the procedure of curing, the desired curing clinical method for the healthcare promotion service by each disease code, and how to be better our healthcare. We evaluate the performance of the proposed system by experimenting with the datasets collected at the medical center to measure performance and report some experimental results.

scholarly journals THE DESCRIPTION OF MODIFIABLE RISK FACTORS IN CORONARY HEART DISEASE AT DR. SOETOMO REGIONAL PUBLIC HOSPITAL

2019 ◽  
Vol 7 (2) ◽  
pp. 85
Author(s):  
Mayla Renata Sandi ◽  
Santi Martini ◽  
Kurnia Dwi Artanti ◽  
Sri Widati
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Public Hospital ◽  
Communicable Disease ◽  
Univariate Analysis ◽  
Sampling Technique ◽  
Primary Data ◽  
Modifiable Risk Factors ◽  
Cross Sectional

Background: Coronary heart disease (CHD) is a non-communicable disease that causes the highest mortality in the world, including in Indonesia. Risk factors for CHD are divided into modifiable and non- modifiable risk factors. Purpose: This study aims to discover the description of risk factors that are modifiable in coronary heart disease patients at Dr Soetomo Regional Public Hospital. Methods: It was a descriptive observational study with cross sectional study design. The study population was coronary heart disease patients who were doing outpatient treatment at the Integrated Heart Service Center (PPJT) of Dr. Soetomo Regional Public Hospital. The number of study sample was 72 respondents using accidental sampling technique. Data sources used are primary data using questionnaires and secondary data using medical record. Data were collected during November 2018. The location of this study was Dr. Soetomo Regional Public Hospital. The data analysis technique chosen was univariate analysis and presented in the form of a frequency distribution table. Results: The results of the study showed that the characteristics of respondents were mostly between 56-65 years old (43,05%) and male (70,84%). Risk factors found on the respondents were smoking (84,72%), hypertension (72,22%), hyperlipidemia (68,05%), diabetes mellitus (81,94%) and poor physical activity (77,77%). Conclusion: Modifiable risk factor that was mostly found on coronary heart patients was smoking, while least one was hiperlipidemia.

scholarly journals The Crazy-paving Pattern in Chest CT of Coronavirus Disease 2019 Patients; an Alarming Sign for Hospitalization 

2020 ◽  
Author(s):  
Mehdi Gholamzadeh Baeis ◽  
Abolfazl Mozafari ◽  
Fatemeh Movaseghi ◽  
Mehdi Yadollahzadeh ◽  
Ahmad Sohrabi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Medical Records ◽  
Public Hospital ◽  
Human Beings ◽  
Epidemiological Features ◽  
Significant Difference ◽  
Independent Risk Factors ◽  
The Mean ◽  
Bilateral Lung

Abstract Background: The outbreak of coronavirus disease 2019 (COVID-19) becomes an enormous threat to all human beings. Via this retrospective study conducted on medical records of confirmed COVID-19 pneumonia patients on admission, we investigate the CT manifestation and clinical and laboratory risk factors associated with progression to severe COVID-19 pneumonia and assessed the association among clinical and laboratory records, CT findings, and epidemiological features. The medical records and radiological CT Features of 236 confirmed COVID-19 patients were reviewed at one public hospital and one respiratory clinic in Quom, from 1 August to 30 September 2020. Results: Among a total of 236 confirmed Covid-19 cases, 62 were infected with moderate to severe COVID-19 disease and required hospital admission, and 174 were followed up on outpatient bases. A significant difference was verified in the mean age between outpatients and hospitalized groups. The incidences of bilateral lung involvement, consolidation, linear opacities, crazy-paving pattern, air bronchogram sign, and the number of lobe involvement were significantly higher in hospitalized groups. However, only the crazy-paving pattern was significantly associated with an SpO2 level lower than 90%, with clinical sign of cough severity. Our data indicate that this pattern is also significantly associated with inflammatory levels and the presence of this pattern along with SpO2 level lower than 90%, older age, diabetes, on admission are independent risk factors for COVID-19 progression to severe level.Conclusions: The crazy-paving pattern can predict the severity of COVID-19, which is of great significance for the management and follow-up of COVID-19 pneumonia patients. The clinical factors of aging, male gender, and diabetes, may be risk factors for the crazy-paving pattern, whereas severe coughing is considered to be the most important clinical symptom related to this pattern, and SpO2 level lower than 90%, which is a matter of more severity.

Identifying risk factors and patterns for unplanned readmission to a general medical service

2015 ◽  
Vol 39 (1) ◽  
pp. 56 ◽  
Author(s):  
Jordan Y. Z. Li ◽  
Tuck Y. Yong ◽  
Paul Hakendorf ◽  
David I. Ben-Tovim ◽  
Campbell H. Thompson
Keyword(s):  
Risk Factors ◽  
Public Hospital ◽  
General Medicine ◽  
Medical Advice ◽  
Index Admission ◽  
Clinical Factors ◽  
Against Medical Advice ◽  
Increased Risk ◽  
Early Readmission ◽  
Discharge Against Medical Advice

Objective To identify factors and patterns associated with 7- and 28-day readmission for general medicine patients at a tertiary public hospital. Methods A retrospective observational study was conducted using an administrative database at a general medicine service in a tertiary public hospital between 1 January 2007 and 31 December 2011. Demographic and clinical factors, as well as readmission patterns, were evaluated for the association with 7- and 28-day readmission. Results The study cohort included 13 802 patients and the 28-day readmission rate was 10.9%. In multivariate analysis, longer hospital stay of the index admission (adjusted relative risk (ARR) 1.34), Charlson index ≥3 (ARR 1.28), discharge against medical advice (ARR 1.87), active malignancy (ARR 1.83), cardiac failure (ARR 1.48) and incomplete discharge summaries (ARR 1.61) were independently associated with increased risk of 28-day readmission. Patients with diseases of the respiratory system, neurological or genitourinary disease, injury and unclassifiable conditions were likely to be readmitted within 7 days. Patients with circulatory and respiratory disease were likely to be readmitted with the same system diagnosis. Conclusion Readmission of general medicine patients within 28 days is relatively common and is associated with clinical factors and patterns. Identification of these risk factors and patterns will enable the interventions to reduce potentially preventable readmissions. What is known about the topic? Readmission rates following hospitalization are increasing, especially among older patients and those with multiple underlying medical comorbidities. This presents a challenging and costly problem. What does this paper add? Factors associated with increased risk of early readmission include higher comorbidity score, longer length of stay during the index admission and those who discharge against medical advice. Patients with respiratory, neurological or genitourinary disease, trauma and unclassifiable diagnosis were most at risk of early readmission. A large proportion of readmissions had principal diagnoses in a different diagnostic category to that of the index hospitalization. What are the implications for practitioners? A breadth of system review is required before discharging any general medical patient. Intervention should be directed at a breadth of diagnoses and not just the principal diagnosis made during the index admission. Timing of implementation of the interventions is important and more urgent for some diagnoses than others.

Poverty, violence and depression during pregnancy: a survey of mothers attending a public hospital in Brazil

2005 ◽  
Vol 35 (10) ◽  
pp. 1485-1492 ◽  
Author(s):  
GIOVANNI MARCOS LOVISI ◽  
JOSÉ RAMON R. A. LÓPEZ ◽  
EVANDRO SILVA FREIRE COUTINHO ◽  
VIKRAM PATEL
Keyword(s):  
Risk Factors ◽  
Public Hospital ◽  
Social Deprivation ◽  
Previous History ◽  
Psychosocial Interventions ◽  
Intimate Relationship ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
History Of ◽  
History Of Depression

Background. Depression in women is associated with social deprivation and violence. We describe the prevalence and risk factors for depression during pregnancy, in particular the association with poverty and violence, in a Brazilian setting.Method. A cross-sectional survey of women in the third trimester of pregnancy attending a public hospital maternity clinic from August 2003 to July 2004 in Rio de Janeiro. Participants were interviewed about their sociodemographic status, obstetric and medical conditions, substance use, stressful life events, and social support. Depression was diagnosed through the Composite International Diagnostic Interview (CIDI).Results. A total of 230 of 240 eligible women consented to participate. The 12-month prevalence of depression was 19·1% (95% CI 14·4–24·9). On multivariate analyses, having been educated beyond primary school was protective (OR 0·5, 95% CI 0·2–0·9). Risk factors were: being divorced or widowed (OR 4·9, 95% CI 1·3–18·3); a history of depression before pregnancy (OR 7·9, 95% CI 3·1–20·5); loss of an intimate relationship (OR 8·4, 95% CI 3·3–21·4), experienced financial difficulties (OR 6·6, 95% CI 2·5–17·2) and having been exposed to violence in the previous year (OR 4·2, 95% CI 1·5–11·8).Conclusions. Depression is common during pregnancy and is associated with indicators of socio-economic deprivation, violence and the loss of an intimate relationship, and with a previous history of depression. Psychosocial interventions and appropriate social policies need to be implemented in this population to reduce the burden of maternal depression.

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