Abstract P230: Integration of Regional Administrative, Registry and Vital Databases for Ischemic Stroke Hospitalizations

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Zhiyu Yan ◽  
Lee H Schwamm ◽  
Victoria Nielsen ◽  
Glory Song ◽  
Anita Christie ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Population Based ◽  
Vital Statistics ◽  
Administrative Databases ◽  
Additional Patient ◽  
Clinical Registry ◽  
Inpatient Hospitalizations ◽  
Final Integration ◽  
Patient Variables ◽  
Two Phases

Background: Administrative databases seldom include detailed clinical variables or final vital status, limiting the scope of population-based studies. We demonstrate a comprehensive process for integrating 3 databases (statewide all-payor inpatient hospitalizations [hospitalizations], Paul Coverdell National Acute Stroke Program Registry [registry] and Registry of Vital Statistics and Records [vitals]) into a single statewide stroke database. Methods: The 3 MA databases spanned 2008-2017 among 49 hospitals covering over 80% of the state’s stroke volume. Our integration process was composed of 3 phases: 1) hospitalizations-registry linkage, 2) hospitalizations-vitals linkage, and 3) final integration of all 3 databases (Figure). Following the assessments of linkage feasibility based on data uniqueness levels, rule-based deterministic linkage on indirect identifiers were applied in the first two phases. We validated the linkages by comparing additional patient variables not used in the linkage process. Results: Using 47,113 stroke admissions in the hospitalizations database, and 43,487 admissions in the registry from 01/01/2008 to 09/30/2015, we were able to link 38,493 (80.7%) of encounters, 95% of which were validated. There were 391,176 deaths reported between 01/01/2010 and 03/06/2017 in the vitals database; 10,660 encounters (27.7%) in the hospitalizations were linked to deaths, which reflects the cumulative mortality over the 7 year period among all registry-linked ischemic stroke hospitalization records. Conclusion: We demonstrate that a high-quality integration of statewide hospitalizations, clinical registry and vital data is achievable based on a data linkage strategy that leverages indirect identifiers. Our data integration framework which takes advantage of rich clinical data in registries with long term outcomes in claims or vital records may allow for larger scale outcome studies at reasonable cost.

Quality indicators for end-of-life breast cancer care: Testing the use of administrative databases

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 6066-6066 ◽  
Author(s):  
L. Lethbridge ◽  
E. Grunfeld ◽  
R. Dewar ◽  
G. Johnston ◽  
P. McIntyre ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Of Care ◽  
End Of Life ◽  
Administrative Data ◽  
Population Based ◽  
Vital Statistics ◽  
Administrative Databases ◽  
Breast Cancer Patients ◽  
Eol Care

6066 Background: Defining, measuring and monitoring quality of care is a facet of health services research that is growing in importance. Breast cancer offers a disease model to examine quality end-of-life (EOL) care provided to women. Administrative data have the unique potential to provide population-based measures of quality of care. The objective of this study was to assess the feasibility of using routinely-collected administrative data to measure quality EOL care for breast cancer patients. Methods: A cohort of all women in Nova Scotia who died of breast cancer between 01/01/1998 and 31/12/2002 was assembled from the Cancer Registry and Vital Statistics data. The EOL study period was defined as the last 6 months of life. A total of 864 women met the eligibility criteria. After a literature review, an expert panel identified 19 indicators that were potentially measurable through administrative data. Physician billings, hospital discharge abstracts and seniors pharmacare data, supplemented by clinical datasets, were utilized to calculate the statistics with which to represent the indicators. Results: Benchmark measures of care across the cohort show 63.4% died in a hospital, a mean continuity of care index of 0.786, and the mean number of inpatient days in the last 30 was 9.9. Indicators of aggressive care include 9.3% had chemotherapy in the last 14 days, 5.6% had more than 1 emergency room visit in the last 30 days, and 29.1% had more than 14 inpatient days in the last 30 days. Conclusions: Weaknesses of using these data include: 1) fixed variables with an administrative rather than a clinical objective; 2) lack of comprehensiveness of various datasets; and 3) the use of billings data where increasingly physicians are paid through methods other than fee-for-service. Strengths of this approach are: 1) population-based cohort; 2) comprehensiveness of cohort selection through the provincial Vital Statistics file; and 3) accessibility of data. No significant financial relationships to disclose.

scholarly journals Under-ascertainment of Illness due to Influenza in Administrative Databases, a Population-based Record Linkage Study

2014 ◽  
Vol 6 (1) ◽  
Author(s):  
David J. Muscatello ◽  
Janaki Amin ◽  
C. Raina MacIntyre ◽  
Anthony T. Newall ◽  
William D. Rawlinson ◽  
...  
Keyword(s):  
Record Linkage ◽  
Public Health Surveillance ◽  
Population Based ◽  
Vital Statistics ◽  
Linkage Study ◽  
Health Surveillance ◽  
Administrative Databases ◽  
Type B ◽  
Death Registration ◽  
Emergency Presentation

Administrative and vital statistics databases are frequently used for public health surveillance of influenza incidence and outcomes. We used population based, probabilistic record linkage of laboratory diagnosed influenza, emergency department, hospital admission and death registration databases to determine how frequently laboratory diagnosed influenza is coded as influenza or recorded as a cause of death. Influenza was substantially under-recorded as a cause of emergency presentation, hospitalization and death. Influenza type A infection was more likely than type B to lead to coding of influenza. Despite under-coding, time series of coded influenza from databases do reflect trends in influenza incidence.

Epidemiology of pheochromocytoma and paraganglioma: population-based cohort study

2021 ◽  
Vol 184 (1) ◽  
pp. 19-28
Author(s):  
Alexander A Leung ◽  
Janice L Pasieka ◽  
Martin D Hyrcza ◽  
Danièle Pacaud ◽  
Yuan Dong ◽  
...  
Keyword(s):  
Cohort Study ◽  
Administrative Data ◽  
Laboratory Data ◽  
Population Based ◽  
Incidence Rates ◽  
Primary Objective ◽  
Administrative Databases ◽  
Secondary Objective ◽  
True Frequency ◽  
Clinical Records

Objective Despite the significant morbidity and mortality associated with pheochromocytoma and paraganglioma, little is known about their epidemiology. The primary objective was to determine the incidence of pheochromocytoma and paraganglioma in an ethnically diverse population. A secondary objective was to develop and validate algorithms for case detection using laboratory and administrative data. Design Population-based cohort study in Alberta, Canada from 2012 to 2019. Methods Patients with pheochromocytoma or paraganglioma were identified using linked administrative databases and clinical records. Annual incidence rates per 100 000 people were calculated and stratified according to age and sex. Algorithms to identify pheochromocytoma and paraganglioma, based on laboratory and administrative data, were evaluated. Results A total of 239 patients with pheochromocytoma or paraganglioma (collectively with 251 tumors) were identified from a population of 5 196 368 people over a period of 7 years. The overall incidence of pheochromocytoma or paraganglioma was 0.66 cases per 100 000 people per year. The frequency of pheochromocytoma and paraganglioma increased with age and was highest in individuals aged 60–79 years (8.85 and 14.68 cases per 100 000 people per year for males and females, respectively). An algorithm based on laboratory data (metanephrine >two-fold or normetanephrine >three-fold higher than the upper limit of normal) closely approximated the true frequency of pheochromocytoma and paraganglioma with an estimated incidence of 0.54 cases per 100 000 people per year. Conslusion The incidence of pheochromocytoma and paraganglioma in an unselected population of western Canada was unexpectedly higher than rates reported from other areas of the world.

scholarly journals Epidemiology of systemic sclerosis: a multi-database population-based study in Tuscany (Italy)

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Alessio Coi ◽  
◽  
Simone Barsotti ◽  
Michele Santoro ◽  
Fabio Almerigogna ◽  
...  
Keyword(s):  
Systemic Sclerosis ◽  
Rare Diseases ◽  
Severe Disease ◽  
Pulmonary Involvement ◽  
Population Based ◽  
Vital Statistics ◽  
Drug Prescriptions ◽  
Malignant Neoplasms ◽  
Lower Survival ◽  
Treatment And Prevention

Abstract Background Systemic Sclerosis (SSc) is a chronic autoimmune disease with a complex pathogenesis that includes vascular injury, abnormal immune activation, and tissue fibrosis. We provided a complete epidemiological characterization of SSc in the Tuscany region (Italy), considering prevalence and incidence, survival, comorbidities and drug prescriptions, by using a multi-database population-based approach. Cases of SSc diagnosed between 1st January 2003 and 31st December 2017 among residents in Tuscany were collected from the population-based Rare Diseases Registry of Tuscany. All cases were linked to regional health and demographic databases to obtain information about vital statistics, principal causes of hospitalization, complications and comorbidities, and drug prescriptions. Results The prevalence of SSc in Tuscany population resulted to be 22.2 per 100,000, with the highest prevalence observed for the cases aged ≥ 65 years (33.2 per 100,000, CI 95% 29.6–37.3). In females, SSc was predominant (86.7% on the total) with an overall sex ratio F/M of 6.5. Nevertheless, males presented a more severe disease, with a lower survival and significant differences in respiratory complications and metabolic comorbidities. Complications and comorbidities such as pulmonary involvement (HR = 1.66, CI 95% 1.17–2.35), congestive heart failure (HR = 2.76, CI 95% 1.80–4.25), subarachnoid and intracerebral haemorrhage (HR = 2.33, CI 95% 1.21–4.48) and malignant neoplasms (HR = 1.63, CI 95% 1.06–2.52), were significantly associated to a lower survival, also after adjustment for age, sex and other SSc-related complications. Disease-modifying antirheumatic drugs, endothelin receptor antagonists, and phosphodiesterase-5 inhibitors were the drugs with the more increasing prevalence of use in the 2008–2017 period. Conclusions The multi-database approach is important in the investigation of rare diseases where it is often difficult to provide accurate epidemiological indicators. A population-based registry can be exploited in synergy with health databases, to provide evidence related to disease outcomes and therapies and to assess the burden of disease, relying on a large cohort of cases. Building an integrated archive of data from multiple databases linking a cohort of patients to their comorbidities, clinical outcomes and survival, is important both in terms of treatment and prevention.

scholarly journals Effects of long-term anti-seizure medication monotherapy on all-cause death in patients with post-stroke epilepsy: a nationwide population-based study in Taiwan

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chia-Yu Hsu ◽  
Chun-Yu Cheng ◽  
Jiann-Der Lee ◽  
Meng Lee ◽  
Bruce Ovbiagele
Keyword(s):  
Valproic Acid ◽  
Ischemic Stroke ◽  
Cox Regression ◽  
Population Based ◽  
Primary Diagnosis ◽  
Research Database ◽  
Post Stroke ◽  
Risk Of Death ◽  
Index Stroke

Abstract Objective We aim to compare the effect of long-term anti-seizure medication (ASM) monotherapy on the risk of death and new ischemic stroke in patients with post-stroke epilepsy (PSE). Patients and methods We identified all hospitalized patients (≥ 20 years) with a primary diagnosis of ischemic or hemorrhagic stroke from 2001 to 2012 using the National Health Insurance Research Database in Taiwan. The PSE cohort were defined as the stroke patients (1) who had no epilepsy and no ASMs use before the index stroke, and (2) who had epilepsy and ASMs use after 14 days from the stroke onset. The patients with PSE receiving ASM monotherapy were enrolled and were categorized into phenytoin, valproic acid, carbamazepine, and new ASM groups. We employed the Cox regression model to estimate the unadjusted and adjusted hazard ratios (HRs) with 95 % confidence intervals (CIs) of death and new ischemic stroke within 5 years across all groups, using the new ASM group as the reference. Results Of 6962 patients with PSE using ASM monotherapy, 3917 (56 %) were on phenytoin, 1623 (23 %) on valproic acid, 457 (7 %) on carbamazepine, and 965 (14 %) on new ASMs. After adjusting for confounders, compared with new ASM users, phenytoin users had a higher risk of death in 5 years (HR: 1.64; 95 % CI: 1.06–2.55). On the other hand, all ASM groups showed a similar risk of new ischemic stroke in 5 years. Conclusions Among patients with PSE on first-line monotherapy, compared to new ASMs, use of phenytoin was associated with a higher risk of death in 5 years.

scholarly journals Disparities in the Use of Intravenous t-PA among Ischemic Stroke Patients: Population-based Recent Temporal Trends

2019 ◽  
Vol 28 (5) ◽  
pp. 1243-1251 ◽  
Author(s):  
Mohammad A. Faysel ◽  
Jonathan Singer ◽  
Caroline Cummings ◽  
Dimitre G. Stefanov ◽  
Steven R. Levine
Keyword(s):  
Ischemic Stroke ◽  
Temporal Trends ◽  
Population Based ◽  
Stroke Patients

scholarly journals Validity of an algorithm to identify cardiovascular deaths from administrative health records: a multi-database population-based cohort study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lisa M. Lix ◽  
Shamsia Sobhan ◽  
Audray St-Jean ◽  
Jean-Marc Daigle ◽  
Anat Fisher ◽  
...  
Keyword(s):  
Cohort Study ◽  
Cardiovascular Mortality ◽  
Population Based ◽  
Vital Statistics ◽  
Practice Research ◽  
Clinical Practice Research Datalink ◽  
Health Records ◽  
Predictive Values ◽  
Site Specific ◽  
Hospital Deaths

Abstract Background Cardiovascular death is a common outcome in population-based studies about new healthcare interventions or treatments, such as new prescription medications. Vital statistics registration systems are often the preferred source of information about cause-specific mortality because they capture verified information about the deceased, but they may not always be accessible for linkage with other sources of population-based data. We assessed the validity of an algorithm applied to administrative health records for identifying cardiovascular deaths in population-based data. Methods Administrative health records were from an existing multi-database cohort study about sodium-glucose cotransporter-2 (SGLT2) inhibitors, a new class of antidiabetic medications. Data were from 2013 to 2018 for five Canadian provinces (Alberta, British Columbia, Manitoba, Ontario, Quebec) and the United Kingdom (UK) Clinical Practice Research Datalink (CPRD). The cardiovascular mortality algorithm was based on in-hospital cardiovascular deaths identified from diagnosis codes and select out-of-hospital deaths. Sensitivity, specificity, and positive and negative predictive values (PPV, NPV) were calculated for the cardiovascular mortality algorithm using vital statistics registrations as the reference standard. Overall and stratified estimates and 95% confidence intervals (CIs) were computed; the latter were produced by site, location of death, sex, and age. Results The cohort included 20,607 individuals (58.3% male; 77.2% ≥70 years). When compared to vital statistics registrations, the cardiovascular mortality algorithm had overall sensitivity of 64.8% (95% CI 63.6, 66.0); site-specific estimates ranged from 54.8 to 87.3%. Overall specificity was 74.9% (95% CI 74.1, 75.6) and overall PPV was 54.5% (95% CI 53.7, 55.3), while site-specific PPV ranged from 33.9 to 72.8%. The cardiovascular mortality algorithm had sensitivity of 57.1% (95% CI 55.4, 58.8) for in-hospital deaths and 72.3% (95% CI 70.8, 73.9) for out-of-hospital deaths; specificity was 88.8% (95% CI 88.1, 89.5) for in-hospital deaths and 58.5% (95% CI 57.3, 59.7) for out-of-hospital deaths. Conclusions A cardiovascular mortality algorithm applied to administrative health records had moderate validity when compared to vital statistics data. Substantial variation existed across study sites representing different geographic locations and two healthcare systems. These variations may reflect different diagnostic coding practices and healthcare utilization patterns.

scholarly journals Incidence and mortality of ischemic stroke subtypes in Joinville, Brazil: a population-based study

2015 ◽  
Vol 73 (8) ◽  
pp. 648-654 ◽  
Author(s):  
Marcos C. Lange ◽  
Norberto L. Cabral ◽  
Carla H. C. Moro ◽  
Alexandre L. Longo ◽  
Anderson R. Gonçalves ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Population Based ◽  
Large Artery ◽  
Vessel Occlusion ◽  
Population Based Study ◽  
Incidence And Mortality ◽  
One Year ◽  
Undetermined Etiology ◽  
And Control ◽  
Adjusted Incidence

Aims To measure the incidence and mortality rates of ischemic stroke (IS) subtypes in Joinville, Brazil. Methods All first-ever IS patients that occurred in Joinville from January 2005 to December 2006 were identified. The IS subtypes were classified by the TOAST criteria, and the patients were followed-up for one year after IS onset. Results The age-adjusted incidence per 100,000 inhabitants was 26 (17-39) for large-artery atherosclerosis (LAA), 17 (11-27) for cardioembolic (CE), 29 (20-41) for small vessel occlusion (SVO), 2 (0.6-7) for stroke of other determined etiology (OTH) and 30 (20-43) for stroke of undetermined etiology (UND). The 1-year mortality rate per 100,000 inhabitants was 5 (2-11) for LAA, 6 (3-13) for CE, 1 (0.1-6) for SVO, 0.2 (0-0.9) for OTH and 9 (4-17) for UND. Conclusion In the population of Joinville, the incidences of IS subtypes were similar to those found in other populations. These findings highlight the importance of better detection and control of atherosclerotic risk factors.

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