Hospital Administrative Data Research Articles

Verification of administrative data to measure palliative care at terminal hospital stays.

Administrative data and clinician documentation have not been directly compared for reporting palliative care, despite concerns about under-reporting. The aim of this study was to verify the use of routinely collected administrative data for reporting in-hospital palliation and to examine factors associated with coded palliative care in hospital administrative data. Hospital administrative data and inpatient palliative care activity documented in medical records were compared for patients dying in hospital between 1 July 2017 and 31 December 2017. Coding of palliative care in administrative data is based on hospital care type coded as "palliative care" and/or assignment of the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) palliative care diagnosis code Z51.5. Medical records were searched for specified keywords, which, read in context, indicated a palliative approach to care. The list of keywords (palliative, end of life, comfort care, cease observations, crisis medications, comfort medications, syringe driver, pain or symptom management, no cardiopulmonary resuscitation, advance medical plan/resuscitation plan, deteriorating, agitation, restless and delirium) was developed in consultation with seven local clinicians specialising in palliative care or geriatric medicine. Of the 576 patients who died in hospital, 246 were coded as having received palliative care, either solely by the ICD-10-AM diagnosis code Z51.5 (42%) or in combination with a "palliative care" care type (58%). Just over one-third of dying patients had a palliative care specialist involved in their hospital care. Involvement of a palliative care specialist and a cancer diagnosis substantially increased the odds of a Z51.5 code (odds ratio = 11 and 4, respectively). The majority of patients with a "syringe driver" or identified as being at the "end of life" were assigned a Z51.5 code (73.5% and 70.5%, respectively), compared to 53.8% and 54.7%, respectively, for "palliative" or "comfort care." For each keyword indicating a palliative approach to care, the Z51.5 code was more likely to be assigned if the patient had specialist palliative care input or if they had cancer. Our results suggest administrative data under-represented in-hospital palliative care, at least partly due to medical record documentation that failed to meet ICD-10-AM coding criteria. Collaboration between clinicians and coders can enhance the quality of records and, consequently, administrative data.

Evaluating Machine-Learning Models for Predicting Hospital Transfers in Administrative Data: A Study of Admissions for Myocardial Infarction

IntroductionHospital administrative data is a valuable source to measure myocardial infarction (MI) rates. However, admission counts are susceptible to over-inflation if the patient is transferred multiple times during a single episode of care, and variables denoting transfers may not be reliable. To obtain an accurate number of events, hospital transfers need to be correctly identified.
 Objectives and ApproachWe assessed multivariable logistic regression and various machine-learning models to predict transfers in hospital administrative data. Using Western Australian linked hospital data, we identified records from 2000-2016 with a principal discharge diagnosis of MI. Our standard method to compare against was a 24-hour look-back to identify a transfer using just admission and separation dates from the current and previous records for the same patient. Multivariable logistic regression and decision trees with various boosting algorithms were used to predict if a single record was a transfer, using variables recorded in the admission (e.g. age, sex, type of hospital, admitted from, emergency/elective admission). The performance of each model was calculated using metrics including area under the curve (AUC).
 ResultsRecords in the training, validation and testing samples had similar characteristics: mean age=68.9 years, 66% were male and 58% admitted to tertiary hospitals. Gradient Boosting Decision Tree (AUC=0.887, 95%CI: 0.886-0.887) outperformed multivariable logistic regression (AUC=0.875; 95% CI: 0.869-0.881) and random forest models (AUC=0.859; 95% CI: 0.853-0.865).
 Conclusion / ImplicationsMultivariable logistic regression and machine-learning models are able to identify transfers in a single record from existing variables. They can be used in unlinked hospital administrative data where records belonging to the same patient cannot be identified.

Impact of High-Dose-Rate and Low-Dose-Rate Brachytherapy Boost on Toxicity, Functional and Cancer Outcomes in Patients Receiving External Beam Radiation Therapy for Prostate Cancer: A National Population-Based Study

External beam radiation therapy (EBRT) with brachytherapy boost reduces cancer recurrence in patients with prostate cancer compared with EBRT monotherapy. However, randomized controlled trials or large-scale observational studies have not compared brachytherapy boost types directly. This observational cohort study used linked national cancer registry data, radiation therapy data, administrative hospital data, and mortality records of 54,642 patients with intermediate-risk, high-risk, and locally advanced prostate cancer in England. The records of 11,676 patients were also linked to results from a national patient survey collected at least 18 months after diagnosis. Competing risk regression analyses were used to compare gastrointestinal (GI) toxicity, genitourinary (GU) toxicity, skeletal-related events (SRE), and prostate cancer-specific mortality (PCSM) at 5 years with adjustment for patient and tumor characteristics. Linear regression was used to compare Expanded Prostate Cancer Index Composite 26-item version domain scores (scale, 0-100, with higher scores indicating better function). Five-year GI toxicity was significantly increased after low-dose-rate brachytherapy boost (LDR-BB) (32.3%) compared with high-dose-rate brachytherapy boost (HDR-BB) (16.7%) or EBRT monotherapy (18.7%). Five-year GU toxicity was significantly increased after both LDR-BB (15.8%) and HDR-BB (16.6%), compared with EBRT monotherapy (10.4%). These toxicity patterns were matched by the mean patient-reported bowel function scores (LDR-BB, 77.3; HDR-BB, 85.8; EBRT monotherapy, 84.4) and the mean patient-reported urinary obstruction/irritation function scores (LDR-BB, 72.2; HDR-BB, 78.9; EBRT monotherapy, 83.8). Five-year incidences of SREs and PCSM were significantly lower after HDR-BB (2.4% and 2.7%, respectively) compared with EBRT monotherapy (2.8% and 3.5%, respectively). Compared with EBRT monotherapy, LDR-BB has worse GI and GU toxicity and HDR-BB has worse GU toxicity. HDR-BB has a lower incidence of SREs and PCSM than EBRT monotherapy.

Variability in published rates of influenza-associated hospitalizations: A systematic review, 2007-2018.

BackgroundInfluenza burden estimates help provide evidence to support influenza prevention and control programs at local and international levels.MethodsThrough a systematic review, we aimed to identify all published articles estimating rates of influenza-associated hospitalizations, describe methods and data sources used, and identify regions of the world where estimates are still lacking. We evaluated study heterogeneity to determine if we could pool published rates to generate global estimates of influenza-associated hospitalization.ResultsWe identified 98 published articles estimating influenza-associated hospitalization rates from 2007-2018. Most articles (65%) identified were from high-income countries, with 34 of those (53%) presenting estimates from the United States. While we identified fewer publications (18%) from low- and lower-middle-income countries, 50% of those were published from 2015-2018, suggesting an increase in publications from lower-income countries in recent years. Eighty percent (n = 78) used a multiplier approach. Regression modelling techniques were only used with data from upper-middle or high-income countries where hospital administrative data was available. We identified variability in the methods, case definitions, and data sources used, including 91 different age groups and 11 different categories of case definitions. Due to the high observed heterogeneity across articles (I2>99%), we were unable to pool published estimates.ConclusionsThe variety of methods, data sources, and case definitions adapted locally suggests that the current literature cannot be synthesized to generate global estimates of influenza-associated hospitalization burden.

Accuracy of diagnoses of inflammatory arthritis in administrative hospitalization databases.

Studies using administrative hospitalization data often classify patients as having inflammatory arthritis based on diagnoses recorded at the hospitalization. We examined the agreement of these diagnoses with patients' prior medical histories. We identified Medicare beneficiaries hospitalized in 2011 to 2015 for total hip arthroplasty (THA), total knee arthroplasty (TKA), acute myocardial infarction (AMI), or sepsis. We compared diagnoses of rheumatoid arthritis (RA) or ankylosing spondylitis (AS) at the index hospitalization to diagnoses over prior inpatient and outpatient claims. To assess the impact of potential misclassification, we compared hospital outcomes using the alternative methods of detecting beneficiaries with arthritis. Analyses were repeated using Medicaid data. Among 506 781 Medicare beneficiaries with THA, 18282 had RA and 571 had AS at the arthroplasty hospitalization, while 13 212 had RA and 1519 had AS based on claims history. Diagnoses at the hospitalization were highly specific (0.98-0.99), but sensitivities (0.65 for RA; 0.31 for AS) and positive predictive values (PPV) (0.47 for RA; 0.83 for AS) were lower. For TKA, AMI, and sepsis, specificities were 0.97 to 0.99, sensitivities 0.60 to 0.66 for RA and 0.18 to 0.22 for AS, and PPVs 0.43 to 0.47 for RA and 0.73 to 0.77 for AS. In Medicaid, sensitivities were 0.21 to 0.67 for RA and 0.07 to 0.49 for AS. Frequencies of some hospital outcomes differed when arthritis was classified by the index hospitalization or claims history. Diagnoses of RA and AS in hospitalization databases are highly specific but fail to identify large proportions of patients with these diagnoses.

A Multidisciplinary, Community-Based Program to Reduce Unplanned Hospital Admissions

ObjectivesTo evaluate the effect of Hospital Admission Risk Program (HARP) on unplanned hospitalization, bed days, and mortality of enrolled individuals and to evaluate the cost-effectiveness of HARP. DesignA retrospective longitudinal analysis of hospital administrative data. InterventionIndividuals at risk of hospitalization were provided with multidisciplinary, community-based care support managed by care coordinators including integrated care planning, education, monitoring, service linkages, and general practitioner liaison over 6-9 months. Setting and ParticipantsIndividuals who were enrolled into 1 of 8 HARP chronic disease management programs between July 1, 2017, and June 30, 2018, at the Royal Melbourne Hospital, Australia. MethodsHospital admissions between 18 months before and 18 months after HARP enrollment were analyzed. Total hospital costs were compared between 18 months before and 12 months after HARP enrollment. ResultsA total of 1553 individuals with a median age of 71 years (interquartile range 60-81), 63.4% males, were admitted to HARP. Both unplanned hospitalizations and bed days were reduced during the HARP intervention compared to within 3 months before enrollment in each of the HARP management programs. After the HARP intervention, cardiac coach, cardiac heart failure, chronic respiratory, diabetes comanagement, and medication management programs had higher hospitalizations and bed days than individuals’ baseline of at least 3 months before HARP enrollment. Individuals in cardiac heart failure and chronic respiratory management programs had a higher mortality rate than other HARP chronic disease management programs. Individuals in cardiac coach, diabetes comanagement, and medication management programs had lower hospital costs during the HARP intervention compared to within 3 months before HARP enrollment. Conclusions and ImplicationsHARP reduced unplanned hospitalization and bed days but did not return individuals’ hospital use to baseline before the intervention. The variations in mortality between HARP chronic disease management programs implies that condition-specific goals between programs is preferable.

What drives success in models predicting heart failure outcome?

Abstract Introduction The development of acute heart failure (AHF) is a critical decision-point in the natural history of heart failure and carries a dismal prognosis. The lack of appropriate risk-stratification tools for AHF patients limits physician ability to precisely tailor patient-specific therapy regimen at this important juncture. Machine learning (ML) based strategies may enhance risk stratification by incorporating analysis of high-dimensional patient data with multiple covariates and novel prediction methodologies. In this study, we aimed at evaluating the drivers for success in prediction models and establishing an institute-tailored ML-based prediction model for real-time decision support. Methods We used a cohort of all AHF patients admitted during a 12 years period including 10,868 patients. A total of 372 covariates were collected from admission to the end of the hospitalization (demographics, lab-tests, medical therapies, echocardiographic and administrative data). Data preprocessing included features cleaning, train-test split, imputation and normalization. We assessed model performance across two axes (1) type of prediction method and (2) type and number of covariates. The primary outcome was one-year survival from hospital discharge. For the model-type axis we experimented with seven different methods: Logistic Regression (LR), Random Forest (RF), Cox model (Cox), XGBoost, a deep neural-network (NeuralNet) and an ensembled model. Results Data pre-processing methodology combined with multiple-covariates achieved an out-ofsample AUROC prediction accuracy of more than 80% with almost all prediction models: L1/L2-LR (80.4%/80.3%); Cox (80.1%); XGBoost (80.7%); NeuralNet (80.5%). The number of covariates was a significant modifier of prediction success (p<0.001), the use of multiple-covariates (372) performed better (AUROC 80.4% for L1-LR) compared with using only a set of known clinical covariates (AUROC 77.8%). Conclusions The choice of the predictive modeling method is secondary to the multiplicity and type of covariates for predicting AHF prognosis. The application of a structured data pre-processing combined with the use of multiple-covariates results in an accurate, institute-tailored, risk prediction in AHF. Funding Acknowledgement Type of funding source: Foundation. Main funding source(s): Yad Hanadiv

Alcohol-related harm in emergency departments: linking to subsequent hospitalizations to quantify under-reporting of presentations.

Alcohol-related harm in emergency departments: linking to subsequent hospitalizations to quantify under-reporting of presentations. To quantify the proportion of emergency department (ED) presentations that could be identified as alcohol-related when linking to a patient's subsequent hospitalization, compared with using ED data alone, and to assess that comparison according to the change in alcohol harm rates over time and potential variations within subpopulations. A retrospective study using linked hospital administrative data to identify ED patients who had subsequent alcohol-related hospitalizations. Western Australia. A total of 533 816 Western Australian young people (246 866 females and 286 950 males), aged 12-24years. Whether or not presentations of young people to ED could be identified as alcohol-related, and for those that were not, how many had a subsequent alcohol-related hospitalization. Rates and proportions of alcohol-related harm for both methods of ascertainment were estimated by sex and Aboriginality across different age groups. Alcohol-related hospitalizations that followed an initial presentation at ED allowed the identification of an additional 19 994 alcohol-related presentations (95% increase). Linking to additional hospitalization information also resulted in significant variation in alcohol-related harm trends. In particular, trends in alcohol-related ED presentations for 21-24-year-old males were stable to slightly increasing using only ED data, but decreased after linking with hospitalization data (P<0.05). Similarly, trends among Aboriginal persons aged 21-24 shifted from increasing using only ED data to being stable in comparison to presentations using subsequent hospitalizations (P<0.05). Among young people in Western Australia, twice as many emergency department presentations could be identified as being alcohol-related using diagnosis information from subsequent hospitalizations compared with emergency department data alone. When supplemented with hospitalization data, trends in alcohol-related harm presentations become significantly different within some subpopulations compared with using emergency department presentation data alone.

Sex differences in quality of life after stroke were explained by patient factors, not clinical care: evidence from the Australian Stroke Clinical Registry.

Women may receive stroke care less often than men. We examined the contribution of clinical care on sex differences and health-related quality of life (HRQoL) after stroke. We included first-ever strokes registered in the Australian Stroke Clinical Registry (2010-2014) with HRQoL assessed between 90 and 180days after onset (EQ-5D-3L instrument) that were linked to hospital administrative data (up to 2013). Study factors included sociodemographics, comorbidities, walking ability on admission (stroke severity proxy) and clinical care (e.g. stroke unit care). Responses to the EQ-5D-3L were transformed into a total utility value (-0.516 'worse than death' to 1 'best' health). Quantile regression models, adjusted for confounding factors, were used to determine median differences (MD) in utility scores by sex. Approximately 60% (6852/11418) of stroke survivors had an EQ-5D-3L assessment (median 139days; 44% female). Compared with men, women were older (median age 77.1 years vs. men 71.2 years) and fewer could walk on admission (37.9% vs. men 46.1%, P<0.001). Women had lower utility values than men, and the difference was explained by age and stroke severity, but not clinical care [MDadjusted = -0.039, 95% confidence interval: -0.056, -0.021]. Poorer HRQoL was observed in younger men (aged<65years), particularly those with more comorbidities, and in older women (aged≥75years). Stroke severity and comorbidities contribute to the poorer HRQoL in young men and older women. Further studies are needed to understand age-sex interaction to better inform treatments for different subgroups and ensure evidence-based treatments to reduce the severity of stroke are prioritized.

Incidence of type 1 diabetes by socio-demographic characteristics among South Australian children: Whole-of-population study.

To describe and compare the incidence of type 1 diabetes (T1D) in South Australia by individual and area-level socio-economic characteristics among children aged ≤11 years. This is a whole-of-population, data linkage study (n = 231 685) conducted in South Australia, and included children born from 2002 to 2013, hospitalisation followed from 2002 to 2014. The study used de-identified, linked administrative hospitalisation, birth and perinatal data from the South Australian Early Childhood Data Project. Incidence was calculated by identifying T1D cases from T1D-related hospitalisations using International Classification of Disease, 10th Revision, Australian Modification diagnosis codes (E10, E101-E109). Overall, 333 children aged ≤11 years (173 boys) were identified as having T1D. The T1D incidence rate was 23.0 per 100 000 person-years (95% confidence interval (CI): 20.7-25.7), with no sex difference. T1D incidence was higher among children whose mothers were Caucasian, private patients and whose parents were employed. For example, T1D incidence was 26.0 per 100 000 (95% CI: 22.8-29.5) among children with both parents employed, compared to 20.0 per 100 000 (95% CI: 12.3-30.6) among children with both parents unemployed. There was no clear gradient in the association between area-level socio-economic position and T1D, with highest incidence for the fourth quintile (26.5 per 100 000 (95% CI: 20.9-33.1)). The most advantaged area (19.4 per 100 000 (95% CI: 13.8-26.5)) had lower incidence than the most disadvantaged area (23.5 per 100 000 (95% CI: 18.9-28.9)). T1D incidence rates differed depending on the measures of socio-economic characteristics. Individual-level indicators showed higher incidence among more advantaged children; however, there was no clear area-level socio-economic patterning of T1D.

Acute Myocardial Infarction and Community-acquired Staphylococcus aureus Bloodstream Infection: An Observational Cohort Study.

The relationship between acute myocardial infarction and infection was recognized in the early 20th century during influenza epidemics. Most recently, a case control study and a self-control design study have identified an association between Staphylococcus aureus infection and acute myocardial infarction. We assessed the association of community-acquired Staphylococcus aureus bloodstream infection (CA-SABSI) and myocardial infarction in the 365 days following blood culture. This was a cohort study assessing the incidence of myocardial infarction 365 days after blood culture for Staphylococcus aureus. Culture-negative patients had blood cultures collected at hospital attendance and were matched to the CA-SABSI participants by sex, 5-year age strata, and year of culture collection. Pathology information was linked to hospital administrative data and index of relative socioeconomic advantage and disadvantage (ISRAD). The study included 5157 CA-SABSI cases matched to 10 146 blood culture-negative cases. The mortality rate was significantly higher in the CA-SABSI group (10.9%; 562/5157) than in culture-negative cases (5.1%; 521/10 146) at 365 days (P < .0001). In the 7 days following the index blood culture, excluding recurrent events, there were 89 (1.7%) and 37 (.4%) myocardial infarction diagnoses in the CA-SABSI and culture-negative cases, respectively. Multivariable logistic regression for myocardial infarction demonstrated a significant association with CA-SABSI after adjusting for known risk factors (odds ratio [OR], 5; 95% confidence interval [CI], 3.3-7.5; P < .0001). Myocardial infarctions occurring in this short-term risk period were associated with all-cause mortality in a Cox proportional hazard model (OR, 1.7; 95% CI, 1.2-2.4; P < .005). CA-SABSI is associated with an increased short-term risk of myocardial infarction, which is associated with subsequent mortality.

Examining the relationship between the demand-control model and incident myocardial infarction and congestive heart failure in a representative sample of the employed women and men in Ontario, Canada, over a 15-year period.

To examine the relationship between job strain and incident myocardial infarction and congestive heart failure in a representative population of men and women in Ontario, Canada, over a 15-year period. A total of 14,508 respondents havingprovided responses to either the 2000/2001, 2002, or 2003 cycles of the Canadian Community Health Survey (CCHS) were aged 35 and older at the timeand working. After removing respondents with pre-existing heart disease and missing data, our sample totaled 13,291 respondents. Responses were linked to administrative health care and hospitalization data to capture incident cases of myocardial infarction and congestive heart failure up to March 31, 2017. Job control and psychological demands were assessed using 5 items and 2 items respectively. A series of time-to-event regression models were run, adjusting sequentially for socio-demographic variables and health, other psychosocial work exposures, and health behaviours and body mass index. Over the study period, there were 199,583 person-years of follow-up (median follow-up: 15years, 233days). Higher incidence rates were observed for men (6.69 per 100 persons) than for women (2.77 per 100 persons). No clear relationship was observed for demand-control exposures and incidence of myocardial infarction and congestive heart failure in either men or women. After adjustment for socio-demographic factors, pre-existing health conditions, and other psychosocial exposures, the hazard ratio for high strain exposure (compared with low strain exposure) was 0.92 (0.46-1.84) for women and 0.75 (0.44-1.27) for men. In this large prospective cohort in Canada, we observed no relationship between components of the demand-control model and incident myocardial infarction and congestive heart failure over a 15-year period.

Case Ascertainment on Australian Registers for Acute Rheumatic Fever and Rheumatic Heart Disease.

In Australia, disease registers for acute rheumatic fever (ARF) and rheumatic heart disease (RHD) were previously established to facilitate disease surveillance and control, yet little is known about the extent of case-ascertainment. We compared ARF/RHD case ascertainment based on Australian ARF/RHD register records with administrative hospital data from the Northern Territory (NT), South Australia (SA), Queensland (QLD) and Western Australia (WA) for cases 3–59 years of age. Agreement across data sources was compared for persons with an ARF episode or first-ever RHD diagnosis. ARF/RHD registers from the different jurisdictions were missing 26% of Indigenous hospitalised ARF/RHD cases overall (ranging 17–40% by jurisdiction) and 10% of non-Indigenous hospitalised ARF/RHD cases (3–28%). The proportion of hospitalised RHD cases (36%) was half the proportion of hospitalised ARF cases (70%) notified to the ARF/RHD registers. The registers were found to capture few RHD cases in metropolitan areas (SA Metro: 13%, QLD Metro: 35%, WA Metro: 14%). Indigenous status, older age, comorbidities, drug/alcohol abuse and disease severity were predictors of cases appearing in the hospital data only (p < 0.05); sex was not a determinant. This analysis confirms that there are biases associated with the epidemiological analysis of single sources of case ascertainment for ARF/RHD using Australian data.

Patient Factors Linked with Return Acute Healthcare Use in Older Adults by Discharge Disposition.

Compare patient characteristics by hospital discharge disposition (home without services, home with home healthcare (HHC) services, or post-acute care (PAC) facilities). Examine timing and rates of 30-day healthcare utilization (rehospitalization, emergency department (ED) visit, or observation (OBS) visit) and patient characteristics associated with rehospitalization by discharge location. Retrospective analysis of hospital administrative and clinical data. A total of 3,294 older adult inpatients discharged home with or without HHC services or to a PAC facility. Patient-level sociodemographic and clinical characteristics. Number of and time to occurrences of rehospitalization or ED/OBS visit within 30 days of hospital discharge. Most rehospitalizations and ED/OBS visits occurred within 14 days from hospital discharge. Patients who returned within 24 hours came mostly from inpatient rehabilitation facilities (IRFs). More intense levels of PAC services were linked with higher rehospitalization risk. However, specific predictors differed by discharge location. Being unemployed, being single, and having more comorbidities were most associated with rehospitalization in those who went home with or without services, whereas patients rehospitalized from IRFs were younger, with less chronic illness burden, but greater and recent functional decline. Those discharged with HHC services had more return ED/OBS visits. Although sicker patients were referred for more intense levels of PAC services, patients with greater chronic illness burden were still most often rehospitalized. In addition to unique patient differences, rehospitalizations from IRF within 24 hours suggest systems factors are contributory. Most return acute healthcare utilization occurred within 14 days; therefore, interventions should focus on smoothing transitions to all discharge locations. Because predictors of rehospitalization risk differed by discharge disposition, future research is necessary to study approaches aimed at matching patients' care needs with the most suitable PAC services at the right time. J Am Geriatr Soc 68:2279-2287, 2020.

Placenta Accreta Spectrum: In Vitro Fertilization and Non-In Vitro Fertilization and Placenta Accreta Spectrum in a Massachusetts Cohort.

The incidence of placenta accreta spectrum (PAS) has been increasing in the United States. In addition, there has also been an increase in the utilization of in vitro fertilization (IVF). The IVF pregnancies confer an increased risk of adverse obstetric and neonatal outcomes, but there is limited data on whether IVF is associated with PAS. The aim of this study is to assess the association between IVF and the risk of PAS. This was a retrospective cohort study of deliveries from January 1, 2013 to August 1, 2018 at a tertiary hospital in the Massachusetts. IVF pregnancies were compared with non-IVF pregnancies, and PAS diagnosis was confirmed by histopathology reports. Hospital administrative data and medical record review were used, and supplemented with data from birth certificates from the Massachusetts Department of Public Health. We identified 28,344 pregnancies that met inclusion criteria, of which 1,418 (5.0%) were IVF pregnancies. The overall incidence of PAS was 0.4% (2.2% in the IVF group and 0.3% in the non-IVF group). Women who underwent IVF had 5.5 times the risk of PAS (95% confidence interval [CI]: 3.4-8.7) compared with women in the non-IVF group, adjusted for maternal age, nulliparity, and year of delivery (Table 5). Compared with women in the non-IVF group, the IVF group had fewer prior cesarean deliveries (22.6 vs. 64.2%) and a lower prevalence of placenta previa (19.4 vs. 44.4%). Women with an IVF pregnancy carry an increased risk of PAS compared with non-IVF. Among women who underwent IVF, there was a lower prevalence of prior cesarean deliveries and placenta previa. Future work is needed to identify the mechanism of association for this increased risk as well as a reliable tool for antenatal detection in this cohort of women. · IVF pregnancies have higher risk of PAS than non-IVF pregnancies.. · IVF pregnancies with PAS do not exhibit common risk factors.. · IVF may be an independent risk factor for PAS..

Estimates of population-based incidence of malignant arrhythmias associated with medication use-a narrative review.

Certain medications are reported to be associated with acquired long-QT syndrome (ALQTS), which can degenerate into a potentially severe 'malignant' arrhythmia known as torsades de pointes (TdP). However, population-based estimations of the incidence of medication-associated malignant arrhythmia are limited. The purpose of this article is to review the clinical symptoms, cellular mechanism, categorization, and risk factors of these malignant arrhythmias, as well as illustrate results and methodological limitations of epidemiological literature which have previously estimated population-based incidence of ALQTS and malignant arrhythmia. Administrative databases in universal healthcare systems (such as Canada) can be used to provide a robust estimate of this incidence. We present a valid operational definition of medication-associated malignant arrhythmia, using Canadian hospital administrative data linked to prescription databases that can be used to estimate the population-based incidence. An estimation of incidence may have important implications with regard to understanding the potential widespread distribution of this adverse effect-which may influence medication prescribing patterns.

Recent Trends in Hospitalizations for Cardiovascular Disease, Stroke, and Vascular Cognitive Impairment in Canada

BackgroundWe analyzed hospitalization rates for a broad set of cardiovascular diseases, stroke, and vascular cognitive impairment (VCI) between 2007 and 2016 in Canada to characterize population-level trends and demographic and provincial/territorial variation in inpatient health care utilization. MethodsRecord-level administrative hospitalization data from April 1, 2007 to March 31, 2017 for individuals aged 0-105 years were obtained from the Canadian Institute for Health Information Discharge Abstract Database. Data were available for all provinces and territories, except Quebec. Using the International Classification of Diseases (10th Revision, Canada) diagnostic coding standards, we identified disease categories related to cardiovascular disease, stroke, or VCI. Hospitalizations, crude and standardized, for age and sex (direct method) were calculated using the 2011 Census as the standard population. ResultsBetween 2007 and 2016, percent decreases in standardized hospitalization rates were relatively small for heart failure and stroke (−2.4% and −4.7%, respectively), whereas those for coronary artery and vascular disease and heart rhythm disorders were moderate (−27.4% and −16.8%, respectively). Percent increases were relatively small for congenital heart disease (+7.2%) and moderate for acquired valvular heart disease (+31.1%) and VCI (+23.4%). There were notable age- and sex-specific differences along with provincial/territorial variation. ConclusionsBetween 2007 and 2016, there was an overall decrease in standardized hospitalization rates for coronary artery and vascular disease, heart failure, heart rhythm disorders, and stroke, and an increase in hospitalization rates for structural heart disease (congenital heart disease and acquired valvular heart disease) and VCI in Canada.

Quasi-experimental evidence on the effectiveness of heart attack treatment in Germany

ABSTRACT Medical technological progress has been shown to be the main driver of health care costs. A key policy question is whether new treatment options are worth the additional costs. In this analysis we assess the causal effect of percutaneous transluminal coronary angioplasty (PTCA), a major new heart attack treatment, on mortality. We use a full sample of administrative hospital data from Germany for the years 2005 to 2007. To account for non-random treatment assignment of PTCA, instrumental variable approaches are implemented that aim to randomize patients into getting PTCA independent of heart attack severity. Instruments include differential distances to PTCA hospitals and regional PTCA rates. Our results suggest a 4.5 absolute percentage point mortality reduction for patients who have access to PTCA compared to patients receiving only conservative treatment. We relate mortality reduction to the additional costs for this treatment and conclude that PTCA treatment is cost-effective in lowering mortality for AMI patients at reasonable cost-effectiveness thresholds.

Use of Statewide Administrative Data to Assess Clinical Outcomes: A Retrospective Cohort Study of Therapeutic Anticoagulation for Isolated Calf Vein Thrombosis.

Single-center comparative effectiveness studies evaluating outcomes that can occur posthospitalization may become biased if outcomes diagnosed at other facilities are not ascertained. Administrative datasets that link patients' records across facilities may improve outcome ascertainment. To determine whether use of linked administrative data significantly augments thromboembolic outcome ascertainment. Retrospective cohort study. Patients with an acute isolated calf deep vein thrombosis (DVT) diagnosed at 1 Californian center during 2010-2013. Proximal DVT or pulmonary embolism (PE) within 180 days. We ascertained outcomes from linked California hospitalization, emergency department, and ambulatory surgery data and compared this information to outcomes previously identified from review of the center's medical records. Among 384 patients with an isolated calf DVT, 333 could be linked to longitudinal administrative data records. Ten patients had a possible proximal DVT or PE (4 more clearly so) from administrative data; all were unknown from medical record review. Eleven patients with known outcomes from medical record review had no outcome from administrative data. The adjusted odds ratio of proximal DVT or PE with therapeutic anticoagulation attenuated from 0.33 [95% confidence interval (CI), 0.12-0.87] using only medical record review to 0.64 (95% CI, 0.29-1.40) using both medical record review and possible outcomes from administrative data. Restricting the outcome to diagnoses clearly involving proximal DVT or PE, the adjusted odds ratio was 0.46 (95% CI, 0.19-1.10). Use of linked hospital administrative data augmented detection of outcomes but imperfect linkage, nonspecific diagnoses, and documentation/coding errors introduced uncertainty regarding the accuracy of outcome ascertainment.

Reducing variation in hospital mortality for alcohol-related liver disease in North West England.

Variations in emergency care quality for alcohol-related liver disease (ARLD) have been highlighted. To determine whether introduction of a regional quality improvement (QI) programme was associated with a reduction in potentially avoidable inpatient mortality. Retrospective observational cohort study using hospital administrative data spanning a 1-year period before (2014/2015) and 3years after a QI initiative at seven acute hospitals in North West England. The intervention included serial audit of a bundle of process metrics. An algorithm was developed to identify index ("first") emergency admissions for ARLD (n=3887). We created a standardised mortality ratio (SMR) to compare relative mortality and regression models to examine risk-adjusted odds of death. In 2014/2015, three of seven hospitals had an SMR above the upper control limit ("outliers"). Adjusted odds of death for patients admitted to outlier hospitals was higher than non-outliers (OR 2.13, 95% CI 1.32-3.44, P=0.002). Following the QI programme there was a step-wise reduction in outliers (none in 2017/2018). Odds of death was 67% lower in 2017/2018 compared to 2014/2015 at original outlier hospitals, but unchanged at other hospitals. Process audit performance of outliers was worse than non-outliers at baseline, but improved after intervention. There was a reduction in unexplained variation in hospital mortality following the QI intervention. This challenges the pessimism that is prevalent for achieving better outcomes for patients with ARLD. Notwithstanding the limitations of an uncontrolled observational study, these data provide hope that co-ordinated efforts to drive adoption of evidence-based practice can save lives.