scholarly journals Reporting postpartum haemorrhage with transfusion: a comparison of NSW birth and hospital data

2014 ◽  
Vol 24 (4) ◽  
Keyword(s):  
Postpartum Haemorrhage ◽  
Hospital Data

scholarly journals Validation of anaemia, haemorrhage and blood disorder reporting in hospital data in New South Wales, Australia

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Heather J. Baldwin ◽  
Tanya A. Nippita ◽  
Siranda Torvaldsen ◽  
Therese M. McGee ◽  
Kristen Rickard ◽  
...  
Keyword(s):  
Postpartum Haemorrhage ◽  
New South ◽  
New South Wales ◽  
High Sensitivity ◽  
Hospital Data ◽  
Blood Disorders ◽  
Blood Disorder ◽  
South Wales ◽  
Obstetric Haemorrhage ◽  
Tertiary Hospitals

Abstract Objective Hospital data are a useful resource for studying pregnancy complications, including bleeding-related conditions, however, the reliability of these data is unclear. This study aims to examine reliability of reporting of bleeding-related conditions, including anaemia, obstetric haemorrhage and blood disorders, and procedures, such as blood transfusion and hysterectomy, in coded hospital records compared with obstetric data from two large tertiary hospitals in New South Wales. Results There were 36,051 births between 2011 and 2015 included in the analysis. Anaemia and blood disorders were poorly reported in the hospital data, with sensitivity ranging from 2.5% to 24.8% (positive predictive value (PPV) 12.0–82.6%). Reporting of postpartum haemorrhage, transfusion and hysterectomy showed high sensitivity (82.8–96.0%, PPV 78.0–89.6%) while moderate consistency with the obstetric data was observed for other types of obstetric haemorrhage (sensitivity: 41.9–65.1%, PPV: 50.0–56.8%) and placental complications (sensitivity: 68.2–81.3%, PPV: 20.3–72.3%). Our findings suggest that hospital data may be a reliable source of information on postpartum haemorrhage, transfusion and hysterectomy. However, they highlight the need for caution for studies of anaemia and blood disorders, given high rates of uncoded and ‘false’ cases, and suggest that other sources of data should be sought where possible.

scholarly journals 637Validation of anaemia, haemorrhage and blood disorder reporting in routinely collected hospital data

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Heather Baldwin ◽  
Siranda Torvaldsen ◽  
Kristen Rickard ◽  
Tanya Nippita ◽  
Jillian Patterson
Keyword(s):  
Postpartum Haemorrhage ◽  
Hospital Data ◽  
Blood Disorders ◽  
Predictive Values ◽  
Blood Disorder ◽  
South Wales ◽  
Obstetric Haemorrhage ◽  
Reliable Source ◽  
Tertiary Hospitals ◽  
Hospital Administrative

Abstract Background Blood and bleeding related conditions are reported in hospital administrative data, however the reliability of these data is unknown. Here we examine the reliability of reporting of conditions including anaemia, obstetric haemorrhage and blood disorders, and procedures, such as transfusion and hysterectomy, in hospital records compared with obstetric databases. Methods Women giving birth to singleton infants in two tertiary hospitals in New South Wales, Australia, between 2011 and 2015 were included. Reporting in the hospital data, drawn from the Electronic Medical Records, was compared to that in linked obstetric data, obtained from the ObstetriX system, using obstetric data as the gold standard. Results 36,051 births were included. Sensitivity for anaemia and blood disorders was low (2.5–24.8%, positive predictive value (PPV) 12.0–82.6%), high for postpartum haemorrhage, transfusion and hysterectomy (82.8–96.0%, PPV 78.0–89.6%), and moderate for other obstetric haemorrhage (sensitivity: 41.9–65.1%, PPV: 50.0–56.8%) and placental complications (sensitivity 68.2–81.3%, PPV: 20.3–72.3%). Specificity and negative predictive values were high. Conclusions Anaemia and blood disorders are poorly reported in hospital data. Postpartum haemorrhage, transfusion and hysterectomy are well reported, while other obstetric haemorrhage and placental complications are moderately well reported. Key messages Hospital data may be a reliable source of information on postpartum haemorrhage, blood transfusion and hysterectomy. Caution is advised in the use of hospital data for studies of anaemia and blood disorders, and other sources should be sought where possible.

Incidence of Completed and Attempted Suicide in Trabzon, Turkey

Crisis ◽  
2002 ◽  
Vol 23 (1) ◽  
pp. 3-10 ◽  
Author(s):  
Mustafa Bilici ◽  
Mehmet Bekaroğlu ◽  
Çiçek Hocaoğlu ◽  
Serhat Gürpınar ◽  
Cengiz Soylu ◽  
...  
Keyword(s):  
Suicide Risk ◽  
Attempted Suicide ◽  
Medical Center ◽  
Study Data ◽  
Public Prosecutor ◽  
Suicide Method ◽  
Hospital Data ◽  
State Institute ◽  
The Public ◽  
Completed Suicide

Summary: Objective: Studies of completed and attempted suicide in Turkey are based on data of State Institute of Statistics (SIS) and emergency clinics of the large hospitals. This study seeks (1) to find, independent of the SIS and hospital data, the annual incidences of completed and attempted suicide in Trabzon, Turkey; (2) to examine the associated factors between the incidence of completed and attempted suicide. Method: The data are derived by using a method specially designed for this study. Data sources include emergency clinics in all hospitals, village clinics, the Forensic Medical Center of Trabzon, the Governorship of Trabzon, “mukhtars” (local village representatives) of neighborhoods, the Office of the Public Prosecutor of Trabzon, the Police Headquarters and Gendarmerie, and the local press organs. Results: The incidences of completed and attempted suicide per 100,000 inhabitants turned out to be 2.60 and 31.5, respectively, whereas the SIS reported the incidence of completed suicide to be 1.11 per 100,000 inhabitants in Trabzon in 1995. Conclusion: Our results demonstrate that SIS data are inadequate for suicide research in Turkey. Our findings show that the risk of completed and attempted suicide is high in young, unmarried, and unemployed persons, and that these groups must be carefully evaluated for suicide risk. The study highlights the need for culture-specific research on suicidal behavior in Turkey.

Evaluation of Drug Use Based on WHO Prescribing Indicator in Mizan- Tepi University Teaching Hospital, south Western Ethiopia: A Cross Sectional Study

2020 ◽  
Vol 15 ◽  
Author(s):  
Solomon Hambisa ◽  
Rediet Feleke ◽  
Ameha Zewudie ◽  
Mohammed Yimam
Keyword(s):  
Drug Use ◽  
World Health Organization ◽  
Teaching Hospital ◽  
Cross Sectional Study ◽  
University Teaching ◽  
World Health ◽  
Sectional Study ◽  
Hospital Data ◽  
Cross Sectional ◽  
Health Organization

Background:: Rational drug use comprises aspects of prescribing, dispensing and patient use of medicines for different health problems. This study is aimed to assess drug prescribing practice based on the world health organization prescribing indicators in Mizan-Tepi University teaching hospital. Methods:: An institutional based retrospective cross sectional study was conducted to evaluate prescribing practices in Mizan-Tepi University teaching hospital. Data were collected based on World health organization drug use indicators using prescription papers. 600 prescriptions dispensed through the general outpatient pharmacy of the hospital were collected by systematic random sampling method from prescriptions written for a 1-year time in Mizan-Tepi University teaching hospital. Results:: The present study found that the average number of drugs per prescription was 2.04 ± 0.87 in Mizan-Tepi University teaching hospital with a range between 1 and 5. Prescribing by generic name was 97.6 % and 47.8% of prescriptions contained antibiotics in the hospital. 27.7% of prescriptions contained at least one injectable medication in Mizan-Tepi University teaching hospital. From prescribed drugs, 96.7% of them were prescribed from Ethiopian essential drug list. Conclusion:: Present study indicated that the average number of drugs prescribed per encounter, the percentage of generic prescribing and prescribing from the EDL were close to optimal value. However, the percentage of encounters with antibiotics and injections prescribed were found be very high. Thus, the study highlights some improvements in prescribing habits, particularly by focusing on the inappropriate consumption of antibiotics and injections.

scholarly journals A novel solution for finding postpartum haemorrhage using fuzzy neural techniques

2021 ◽  
Author(s):  
V. D. Ambeth Kumar ◽  
S. Sharmila ◽  
Abhishek Kumar ◽  
A. K. Bashir ◽  
Mamoon Rashid ◽  
...  
Keyword(s):  
Postpartum Haemorrhage ◽  
Fuzzy Neural

scholarly journals Dynamics of the COVID-19 epidemic in Ireland under mitigation

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Bernard Cazelles ◽  
Benjamin Nguyen-Van-Yen ◽  
Clara Champagne ◽  
Catherine Comiskey
Keyword(s):  
Transmission Rate ◽  
Vaccination Campaign ◽  
Virus Transmission ◽  
Reporting Rate ◽  
Mitigation Measures ◽  
Third Wave ◽  
The European Union ◽  
Hospital Data ◽  
Prevalence Survey ◽  
Epidemic Curve

Abstract Background In Ireland and across the European Union the COVID-19 epidemic waves, driven mainly by the emergence of new variants of the SARS-CoV-2 have continued their course, despite various interventions from governments. Public health interventions continue in their attempts to control the spread as they wait for the planned significant effect of vaccination. Methods To tackle this challenge and the observed non-stationary aspect of the epidemic we used a modified SEIR stochastic model with time-varying parameters, following Brownian process. This enabled us to reconstruct the temporal evolution of the transmission rate of COVID-19 with the non-specific hypothesis that it follows a basic stochastic process constrained by the available data. This model is coupled with Bayesian inference (particle Markov Chain Monte Carlo method) for parameter estimation and utilized mainly well-documented Irish hospital data. Results In Ireland, mitigation measures provided a 78–86% reduction in transmission during the first wave between March and May 2020. For the second wave in October 2020, our reduction estimation was around 20% while it was 70% for the third wave in January 2021. This third wave was partly due to the UK variant appearing in Ireland. In June 2020 we estimated that sero-prevalence was 2.0% (95% CI: 1.2–3.5%) in complete accordance with a sero-prevalence survey. By the end of April 2021, the sero-prevalence was greater than 17% due in part to the vaccination campaign. Finally we demonstrate that the available observed confirmed cases are not reliable for analysis owing to the fact that their reporting rate has as expected greatly evolved. Conclusion We provide the first estimations of the dynamics of the COVID-19 epidemic in Ireland and its key parameters. We also quantify the effects of mitigation measures on the virus transmission during and after mitigation for the three waves. Our results demonstrate that Ireland has significantly reduced transmission by employing mitigation measures, physical distancing and lockdown. This has to date avoided the saturation of healthcare infrastructures, flattened the epidemic curve and likely reduced mortality. However, as we await for a full roll out of a vaccination programme and as new variants potentially more transmissible and/or more infectious could continue to emerge and mitigation measures change silent transmission, challenges remain.

scholarly journals Reduction in massive postpartum haemorrhage and red blood cell transfusion during a national quality improvement project, Obstetric Bleeding Strategy for Wales, OBS Cymru: an observational study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sarah F. Bell ◽  
Rachel E. Collis ◽  
Philip Pallmann ◽  
Christopher Bailey ◽  
Kathryn James ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Quality Improvement ◽  
Blood Loss ◽  
Postpartum Haemorrhage ◽  
Red Cells ◽  
National Database ◽  
Care Bundle ◽  
Red Cell ◽  
National Quality ◽  
Red Cell Transfusion

Abstract Background Postpartum haemorrhage (PPH) is a major cause of maternal morbidity and mortality and its incidence is increasing in many countries despite management guidelines. A national quality improvement programme called the Obstetric Bleeding Strategy for Wales (OBS Cymru) was introduced in all obstetric units in Wales. The aim was to reduce moderate PPH (1000 mL) progressing to massive PPH (> 2500 mL) and the need for red cell transfusion. Methods A PPH care bundle was introduced into all 12 obstetric units in Wales included all women giving birth in 2017 and 2018 (n = 61,094). The care bundle prompted: universal risk assessment, quantitative measurement of blood loss after all deliveries (as opposed to visual estimation), structured escalation to senior clinicians and point-of-care viscoelastometric-guided early fibrinogen replacement. Data were submitted by each obstetric unit to a national database. Outcome measures were incidence of massive PPH (> 2500 mL) and red cell transfusion. Analysis was performed using linear regression of the all Wales monthly data. Results Uptake of the intervention was good: quantitative blood loss measurement and risk assessment increased to 98.1 and 64.5% of all PPH > 1000 mL, whilst ROTEM use for PPH > 1500 mL increased to 68.2%. Massive PPH decreased by 1.10 (95% CI 0.28 to 1.92) per 1000 maternities per year (P = 0.011). Fewer women progressed from moderate to massive PPH in the last 6 months, 74/1490 (5.0%), than in the first 6 months, 97/1386 (7.0%), (P = 0.021). Units of red cells transfused decreased by 7.4 (95% CI 1.6 to 13.2) per 1000 maternities per year (P = 0.015). Red cells were transfused to 350/15204 (2.3%) and 268/15150 (1.8%) (P = 0.001) in the first and last 6 months, respectively. There was no increase in the number of women with lowest haemoglobin below 80 g/L during this time period. Infusions of fresh frozen plasma fell and there was no increase in the number of women with haemostatic impairment. Conclusions The OBS Cymru care bundle was feasible to implement and associated with progressive, clinically significant improvements in outcomes for PPH across Wales. It is applicable across obstetric units of widely varying size, complexity and staff mixes.

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