Understanding mortality among hematology oncology patients identified from hospital administrative data.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 215-215
Author(s):  
Munizay Paracha ◽  
Anish Parekh ◽  
Ayesha Rizwan Sheikh ◽  
Stanley Madu Nwabudike ◽  
Tsion Fikre ◽  
...  

215 Background: Hospital administrative data has large ramifications for quality of care and quality improvement projects. Unexpected inpatient mortality among patients with a hematology/oncology (H/O) diagnostic related group (DRG) is not widely studied and reported. We sought to investigate the unexpected inpatient mortality rate among cancer patients who were admitted to a large, urban, tertiary care safety net teaching hospital. Methods: We obtained the hospital’s adjusted mortality rate and evaluated the subset of specific observed/expected deaths ratio (O/E) of patients with a primary H/O diagnosis. We reviewed each case that was identified as an unexpected inpatient mortality from 2016 to 2018. A chart abstraction tool was designed for data abstraction that included demographics, location of admission, comorbid conditions, if mortality was expected, if documentation was reflective of the severity of the illness. Two independent reviewers abstracted each chart. A third reviewer assessed each case to make a final determination regarding expected mortality based on medical complexity and if documentation was reflective of severity of illness. Results: On review of the inpatient mortality data, the O/E for the H/O diagnostic related group (DRG) from Vizient was 1.14. Twenty two cases were identified as having an unexpected death. Among those cases, 23% of patients were transferred from an outside hospital, and 23% of patients did not have a known cancer diagnosis on admission. In the majority of cases, initial documentation did not accurately reflect severity of illness and/or specialists in hematology or oncology were not consulted at time of diagnosis. We noted the majority of patients were not followed by a hematologist/oncologist within the hospital system (63.6%). In 55% of patients, the cause of death was acute respiratory failure, and 14% of patients had an Advance Directive/DNAR in the chart prior to admission. Delayed antibiotics in febrile neutropenia and a missed blood transfusion reaction were among causes of unexpected deaths. Conclusions: Hospital generated data reported that mortality among H/O patients was greater than projected, however careful chart review of each case demonstrated a significant number of cases that were expected but the severity of illness was not documented properly to account for the death. Templates for proper documentation using the Vizient mortality variables is a key area to lower unexpected inpatient mortality.

2008 ◽  
Vol 29 (9) ◽  
pp. 823-828 ◽  
Author(s):  
Xiaoyan Song ◽  
John G Bartlett ◽  
Kathleen Speck ◽  
April Naegeli ◽  
Karen Carroll ◽  
...  

Background.Clostridium difficile-associated disease (CDAD) is responsible for increased morbidity and a substantial economic burden. Incidences of CDAD, including those with a severe course of illness, have been increasing rapidly.Objective.To evaluate the excess mortality, increased length of stay (LOS) in the hospital, and additional costs associated with CDAD.Design.A retrospective matched cohort study.Patients.Adult patients admitted to a large tertiary care hospital between January 2000 and October 2005.Methods.Adult patients were tested with a C. difficile laboratory assay at admission or 72 hours after admission. Infected patients had lor more positive assay results and were individually matched to 1 uninfected patient who had negative assay results, by exposure time, age, ward, and at least 2 measurements for comorbidity and severity of illness.Results.The incidence rate of CDAD among adult patients increased from 0.57 cases per 1,000 patient-days at risk before 2004 to 0.88 cases per 1,000 patient-days at risk after 2004 (P < .001). The 630 infected patients had a mortality rate of 11.9%; the 630 uninfected patients had a mortality rate of 15.1% (P = .02). After adjustment in the multivariate analysis, we found that the LOS for infected patients was 4 days longer than that for uninfected patients (P < .001). If CDAD occurred after 2004, the additional LOS increased to 5.5 days. The direct cost associated with CDAD was $306 per case; after year 2004, it increased to $6,326 per case.Conclusions.There may be no excess mortality among patients with CDAD, compared with patients without it, but the economic burden of CDAD is increasing. By 2004, CDAD-associated medical expenditures approached $1,000,000 per year at our institution alone.


2018 ◽  
Vol 104 (5) ◽  
pp. F502-F509 ◽  
Author(s):  
Hannah Ellin Knight ◽  
Sam J Oddie ◽  
Katie L Harron ◽  
Harriet K Aughey ◽  
Jan H van der Meulen ◽  
...  

ObjectiveWe adapted a composite neonatal adverse outcome indicator (NAOI), originally derived in Australia, and assessed its feasibility and validity as an outcome indicator in English administrative hospital data.DesignWe used Hospital Episode Statistics (HES) data containing information infants born in the English National Health Service (NHS) between 1 April 2014 and 31 March 2015. The Australian NAOI was mapped to diagnoses and procedure codes used within HES and modified to reflect data quality and neonatal health concerns in England. To investigate the concurrent validity of the English NAOI (E-NAOI), rates of NAOI components were compared with population-based studies. To investigate the predictive validity of the E-NAOI, rates of readmission and death in the first year of life were calculated for infants with and without E-NAOI components.ResultsThe analysis included 484 007 (81%) of the 600 963 eligible babies born during the timeframe. 114/148 NHS trusts passed data quality checks and were included in the analysis. The modified E-NAOI included 23 components (16 diagnoses and 7 procedures). Among liveborn infants, 5.4% had at least one E-NAOI component recorded before discharge. Among newborns discharged alive, the E-NAOI was associated with a significantly higher risk of death (0.81% vs 0.05%; p<0.001) and overnight hospital readmission (15.7% vs 7.1%; p<0.001) in the first year of life.ConclusionsA composite NAOI can be derived from English hospital administrative data. This E-NAOI demonstrates good concurrent and predictive validity in the first year of life. It is a cost-effective way to monitor neonatal outcomes.


2016 ◽  
Vol 6 (3) ◽  
pp. 96-106 ◽  
Author(s):  
Joan Porter ◽  
Luke Mondor ◽  
Moira K. Kapral ◽  
Jiming Fang ◽  
Ruth E. Hall

Background/Aims: The reliability of diagnostic coding of acute stroke and transient ischemic attack (TIA) in administrative data is uncertain. The purpose of this study is to determine the agreement between administrative data sources and chart audit for the identification of stroke type, stroke risk factors, and the use of hospital-based diagnostic procedures in patients with stroke or TIA. Methods: Medical charts for a population-based sample of patients (n = 14,508) with ischemic stroke, intracerebral hemorrhage (ICH), or TIA discharged from inpatient and emergency departments (ED) in Ontario, Canada, between April 1, 2012 and March 31, 2013, were audited by trained abstractors. Audited data were linked and compared with hospital administrative data and physician billing data. The positive predictive value (PPV) of hospital administrative data and kappa agreement for the reporting of stroke type were calculated. Kappa agreement was also determined for stroke risk factors and for select stroke-related procedures. Results: The PPV for stroke type in inpatient administrative data ranged from 89.5% (95% CI 88.0-91.0) for TIA, 91.9% (95% CI 90.2-93.5) for ICH, and 97.3% (95% CI 96.9-97.7) for ischemic stroke. For ED administrative data, PPV varied from 78.8% (95% CI 76.3-81.2) for ischemic, 86.3% (95% CI 76.8-95.7) for ICH, and 95.3% (95% CI 94.6-96.0) for TIA. The chance-corrected agreement between the audited and administrative data was good for atrial fibrillation (k = 0.60) and very good for diabetes (k = 0.86). Hospital administrative data combined with physician billing data more than doubled the observed agreement for carotid imaging (k = 0.65) and echocardiography (k = 0.66) compared to hospital administrative data alone. Conclusions: Inpatient and ED administrative data were found to be reliable in the reporting of the International Classification of Diagnosis, 10th revision, Canada (ICD-10-CA)-coded ischemic stroke, ICH and TIA, and for the recording of atrial fibrillation and diabetes. The combination of physician billing data with hospital administrative data greatly improved the capture of some diagnostic services provided to inpatients.


2018 ◽  
Vol 16 (1) ◽  
pp. 15-19
Author(s):  
Maimoona Qadir ◽  
Sohail Amir ◽  
Samina Jadoon ◽  
Muhammad Marwat

Background: Perinatal mortality rate indicates quality of care provided during pregnancy and delivery to the mother and to the neonate in its early neonatal period. The objective of this study was to determine the frequency and causes of perinatal mortality in a tertiary care hospital in Peshawar, Pakistan. Materials & Methods: This cross-sectional study was conducted at Department of Gynaecology & Obstetrics, Khyber Teaching Hospital, Peshawar, Pakistan from 1st January 2016 to 31st December 2016. The inclusion criteria was all singleton gestation with gestational age of at least 24 weeks presenting with perinatal mortality. Data was collected for the following variables; age groups (up to 20 years, 21-30 years, 31-40 years and > 40 years), booking status (yes/ no), period of gestation (24-31+6, 32-36+6, 37-39+6 and > 40 weeks), Foetal weight ( 3.5 kg) and cause of perinatal mortality. Results: Out of 4508 deliveries there were 288 perinatal deaths, including 228 stillbirths and 60 neonatal deaths, so perinatal mortality rate was 63.8/1000 births. 90.28% women were unbooked. Most common cause was hypertensive disorders of pregnancy (27.78%) followed by antepartum haemorrhage (25.71%) and then mechanical causes (13.88%). Congenital anomalies comprised 11.8% cases, neonatal problems 10.07% and maternal medical disorders for 4.16% cases. Cause of 4.16% cases remained unexplained. Conclusion: Appropriate strategies like control of identifiable causes, proper antenatal and postnatal care, healthy delivery practices and availability of emergency neonatal care facilities can bring down perinatal mortality rates.


2016 ◽  
Vol 6 (8) ◽  
pp. 456-467
Author(s):  
D. L. Hill ◽  
K. W. Carroll ◽  
D. Dai ◽  
J. A. Faerber ◽  
S. L. Dougherty ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document