scholarly journals Achieving cross provincial comparisons of osteoporosis screening performance from administrative health data.

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Jacqueline Kathleen Kueper ◽  
Mhd. Wasem Alsabbagh ◽  
Sandra Peterson ◽  
Sabrina T Wong
Keyword(s):  
Administrative Data ◽  
Administrative Databases ◽  
Osteoporosis Screening ◽  
High Performing ◽  
Methods Development ◽  
Practice Characteristics ◽  
Screening Performance ◽  
Health Concept ◽  
Data Elements ◽  
Care Performance

Administrative databases can be used to measure healthcare performance. This can lead to identification of high-performing practice characteristics and inform innovations. However, a key challenge is that administrative data cannot be easily combined across provinces. Comparable measures must be defined across provinces but operationalized within each province. The purpose of this work is to provide an example of defining a population health concept, osteoporosis screening, and creating measures to examine it across British Columbia, Ontario, and Nova Scotia, Canada. TRANSFORMATION is a study that seeks to improve the science and reporting of Primary Health Care performance. We used administrative data from the above three provinces to examine osteoporosis screening in those aged 65 years and older. Challenges of databases with different data elements and levels of methods development (e.g. macros) can be overcome for purposes of cross-provincial comparisons. Flexibility of analytic methods and frequent communication is needed.

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.

Abstract P250: A Strategy for Reliable Identification of Ischemic Stroke, Thrombolytics, and Thrombectomy in Large Administrative Databases

Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Kori S Zachrison ◽  
Sijia Li ◽  
Mathew J Reeves ◽  
Opeolu M Adeoye ◽  
Carlos A Camargo ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Administrative Data ◽  
Administrative Databases ◽  
Stroke Patients ◽  
Inpatient Hospitalization ◽  
Accurate Identification ◽  
Stroke Research ◽  
Diagnosis Codes ◽  
Icd 10 ◽  
Icd Codes

Background: Administrative data are frequently used in stroke research. Ensuring accurate identification of ischemic stroke patients, and those receiving thrombolysis and endovascular thrombectomy (EVT) is critical to ensure representativeness and generalizability. We examined differences in patient samples based on different modes of identification, and propose a strategy for future patient and procedure identification in large administrative databases. Methods: We used nonpublic administrative data from the state of California to identify all ischemic stroke patients discharged from an emergency department or inpatient hospitalization from 2010-2017 based on ICD-9 (2010-2015), ICD-10 (2015-2017), and MS-DRG discharge codes. We identified patients with interhospital transfers, patients receiving thrombolytics, and patients treated with EVT based on ICD, CPT and MS-DRG codes. We determined what proportion of these transfers and procedures would have been identified with ICD versus MS-DRG discharge codes. Results: Of 365,099 ischemic stroke encounters, most (87.7%) had both a stroke-related ICD-9 or ICD-10 code and stroke-related MS-DRG code; 12.3% had only an ICD-9 or ICD-10 code, and 0.02% had only a MS-DRG code. Nearly all transfers (99.9%) were identified using ICD codes. We identified32,433 thrombolytic-treated patients (8.9% of total) using ICD, CPT, and MS-DRG codes; the combination of ICD and CPT codes identified nearly all (98%). We identified 7,691 patients treated with EVT (2.1% of total) using ICD and MS-DRG codes; both MS-DRG and ICD-9/-10 codes were necessary because ICD codes alone missed 13.2% of EVTs. CPT codes only pertain to outpatient/ED patients and are not useful for EVT identification. Conclusions: ICD-9/-10 diagnosis codes capture nearly all ischemic stroke encounters and transfers, while the combination of ICD-9/-10 and CPT codes are adequate for identifying thrombolytic treatment in administrative datasets. However, MS-DRG codes are necessary in addition to ICD codes for identifying EVT, likely due to favorable reimbursement for EVT-related MS-DRG codes incentivizing accurate coding.

scholarly journals Validation of Carotid Artery Revascularization Coding in Ontario Health Administrative Databases

2016 ◽  
Vol 39 (2) ◽  
pp. 73 ◽  
Author(s):  
Mohamad A Hussain ◽  
Muhammad Mamdani ◽  
Gustavo Saposnik ◽  
Jack V Tu ◽  
David Turkel-Parrella ◽  
...  
Keyword(s):  
Carotid Artery ◽  
Administrative Data ◽  
High Volume ◽  
Population Based ◽  
Administrative Databases ◽  
Ontario Health Insurance Plan ◽  
Stroke Registry ◽  
Administrative Records ◽  
Ischemic Attack ◽  
Procedure Codes

Purpose: The positive predictive value (PPV) of carotid endarterectomy (CEA) and carotid artery stenting (CAS) procedure and post-operative complication coding were assessed in Ontario health administrative databases. Methods: Between 1 April 2002 and 31 March 2014, a random sample of 428 patients were identified using Canadian Classification of Health Intervention (CCI) procedure codes and Ontario Health Insurance Plan (OHIP) billing codes from administrative data. A blinded chart review was conducted at two high-volume vascular centers to assess the level of agreement between the administrative records and the corresponding patients’ hospital charts. PPV was calculated with 95% confidence intervals (CIs) to estimate the validity of CEA and CAS coding, utilizing hospital charts as the gold standard. Sensitivity of CEA and CAS coding were also assessed by linking two independent databases of 540 CEA-treated patients (Ontario Stroke Registry) and 140 CAS-treated patients (single-center CAS database) to administrative records. Results: PPV for CEA ranged from 99% to 100% and sensitivity ranged from 81.5% to 89.6% using CCI and OHIP codes. A CCI code with a PPV of 87% (95% CI, 78.8-92.9) and sensitivity of 92.9% (95% CI, 87.4-96.1) in identifying CAS was also identified. PPV for post-admission complication diagnosis coding was 71.4% (95% CI, 53.7-85.4) for stroke/transient ischemic attack, and 82.4% (95% CI, 56.6-96.2) for myocardial infarction. Conclusions: Our analysis demonstrated that the codes used in administrative databases accurately identify CEA and CAS-treated patients. Researchers can confidently use administrative data to conduct population-based studies of CEA and CAS.

scholarly journals Use of Electronic Administrative Databases to Measure Quality Indicators of Breast Cancer Care: Experience of Five Regional Oncology Networks in Italy

2020 ◽  
Vol 16 (2) ◽  
pp. e211-e220 ◽  
Author(s):  
Valentina Guarneri ◽  
Paolo Pronzato ◽  
Oscar Bertetto ◽  
Fausto Roila ◽  
Gianni Amunni ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Quality Indicators ◽  
Administrative Data ◽  
Population Level ◽  
Administrative Databases ◽  
Regional Variability ◽  
Care Experience ◽  
Italian Regions ◽  
Incident Cases

PURPOSE: Assuring quality of care, while maintaining sustainability, in complex conditions such as breast cancer (BC) is an important challenge for health systems. Here, we describe a methodology to define a set of quality indicators, assess their computability from administrative data, and apply them to a large cohort of BC cases. MATERIALS AND METHODS: Clinical professionals from the Italian Regional Oncology Networks identified 46 clinically relevant indicators of BC care; 22 were potentially computable using administrative data. Incident cases of BC diagnosed in 2016 in five Italian regions were identified using administrative databases from regional repositories. Each indicator was calculated through record linkage of anonymized individual data. RESULTS: A total of 15,342 incident BC cases were identified. Nine indicators were actually computable from administrative data (two structure and seven process indicators). Although most indicators were consistent with guidelines, for one indicator (blood tumor markers in the year after surgery, 44.2% to 64.5%; benchmark ≤ 20%), deviation was evident throughout the five regions, highlighting systematic overlooking of clinical recommendations. Two indicators (radiotherapy within 4 months after surgery if no adjuvant chemotherapy; 42% to 83.8%; benchmark ≥ 90%; and mammography 6 to 18 months after surgery, 55.1% to 72.6%; benchmark ≥ 90%) showed great regional variability and were lower than expected, possibly as result of an underestimation in indicator calculation by administrative data. CONCLUSION: Despite highlighting some limitations in the use of administrative data to measure health care performance, this study shows that evaluating the quality of BC care at a population level is possible and potentially useful for guiding quality improvement interventions.

scholarly journals Strategy for reliable identification of ischaemic stroke, thrombolytics and thrombectomy in large administrative databases

2020 ◽  
pp. svn-2020-000533
Author(s):  
Kori S Zachrison ◽  
Sijia Li ◽  
Mathew J Reeves ◽  
Opeolu Adeoye ◽  
Carlos A Camargo ◽  
...  
Keyword(s):  
Ischaemic Stroke ◽  
Administrative Data ◽  
Administrative Databases ◽  
Accurate Identification ◽  
Stroke Research ◽  
Diagnosis Codes ◽  
Inpatient Hospitalisation ◽  
Icd 10 ◽  
Related Group ◽  
Icd Codes

BackgroundAdministrative data are frequently used in stroke research. Ensuring accurate identification of patients who had an ischaemic stroke, and those receiving thrombolysis and endovascular thrombectomy (EVT) is critical to ensure representativeness and generalisability. We examined differences in patient samples based on mode of identification, and propose a strategy for future patient and procedure identification in large administrative databases.MethodsWe used non-public administrative data from the state of California to identify all patients who had an ischaemic stroke discharged from an emergency department (ED) or inpatient hospitalisation from 2010 to 2017 based on International Classification of Disease (ICD-9) (2010–2015), ICD-10 (2015–2017) and Medicare Severity-Diagnosis-related Group (MS-DRG) discharge codes. We identified patients with interhospital transfers, patients receiving thrombolytics and patients treated with EVT based on ICD, Current Procedural Terminology (CPT) and MS-DRG codes. We determined what proportion of these transfers and procedures would have been identified with ICD versus MS-DRG discharge codes.ResultsOf 365 099 ischaemic stroke encounters, most (87.70%) had both a stroke-related ICD-9 or ICD-10 code and stroke-related MS-DRG code; 12.28% had only an ICD-9 or ICD-10 code and 0.02% had only an MS-DRG code. Nearly all transfers (99.99%) were identified using ICD codes. We identified 32 433 thrombolytic-treated patients (8.9% of total) using ICD, CPT and MS-DRG codes; the combination of ICD and CPT codes identified nearly all (98%). We identified 7691 patients treated with EVT (2.1% of total) using ICD and MS-DRG codes; both MS-DRG and ICD-9/ICD-10 codes were necessary because ICD codes alone missed 13.2% of EVTs. CPT codes only pertain to outpatient/ED patients and are not useful for EVT identification.ConclusionsICD-9/ICD-10 diagnosis codes capture nearly all ischaemic stroke encounters and transfers, while the combination of ICD-9/ICD-10 and CPT codes are adequate for identifying thrombolytic treatment in administrative datasets. However, MS-DRG codes are necessary in addition to ICD codes for identifying EVT, likely due to favourable reimbursement for EVT-related MS-DRG codes incentivising accurate coding.

Reliability of administrative data for evaluating the quality of systemic treatment for cancer.

2017 ◽  
Vol 35 (8_suppl) ◽  
pp. 208-208 ◽  
Author(s):  
Melanie Lynn Powis ◽  
Nathan Taback ◽  
Christina Diong ◽  
Katherine Enright ◽  
Christopher M. Booth ◽  
...  
Keyword(s):  
Administrative Data ◽  
Gold Standard ◽  
Validation Cohort ◽  
Systemic Treatment ◽  
Early Stage ◽  
Quality Measures ◽  
Administrative Databases ◽  
Study Cohort ◽  
Reliability Characteristics

208 Background: There is ongoing interest in leveraging administrative data to examine quality but methodological concerns persist. We evaluated the reliability of a previously established panel of administrative data derived quality measures for systemic cancer treatment. Methods: The study cohort consisted of women diagnosed with early stage (stage I-III) breast cancer (ESBC) in Ontario, Canada, in 2010. Performance on 11 quality indicators evaluated using deterministically linked healthcare administrative databases has been reported previously. The sensitivity and specificity of these 11 indicators were examined using the chart as the gold standard. Results: The administrative cohort consisted of 6,795 women with ESBC from which a validation cohort of 705 patients was randomly selected from among patients who underwent cancer surgery at one of five hospitals chosen to balance feasibility and institutional characteristics.Sensitivity and specificity varied by indicator (Table). Reliability of some indicators may have been affected by suboptimal chart documentation in instances where care spanned multiple settings or the medical record was fragmented, or where the number of eligible patients for that indicator was low. Conclusions: Administrative data can be used to evaluate quality of systemic cancer therapy but understanding the reliability characteristics of individual indicators is essential to inform their appropriate use and interpretation. [Table: see text]

scholarly journals Validation of 5 key colonoscopy-related data elements from Ontario health administrative databases compared to the clinical record: a cross-sectional study

CMAJ Open ◽  
2018 ◽  
Vol 6 (3) ◽  
pp. E330-E338 ◽  
Author(s):  
Jill Tinmouth ◽  
Rinku Sutradhar ◽  
Ning Liu ◽  
Nancy N. Baxter ◽  
Lawrence Paszat ◽  
...  
Keyword(s):  
Cross Sectional Study ◽  
Clinical Record ◽  
Administrative Databases ◽  
Sectional Study ◽  
Cross Sectional ◽  
Related Data ◽  
Data Elements

scholarly journals Potentials, challenges, and limitations of the analysis of administrative data on vascular limb amputations in health care

VASA ◽  
2020 ◽  
Vol 49 (2) ◽  
pp. 87-97 ◽  
Author(s):  
Endre Kolossváry ◽  
Tamás Ferenci ◽  
Tamás Kováts
Keyword(s):  
Health Care ◽  
Administrative Data ◽  
Access To Health Care ◽  
Claims Data ◽  
Data Extraction ◽  
Analytical Data ◽  
Extraction Methods ◽  
Administrative Databases ◽  
Methodological Problems ◽  
Administrative Data Analysis

Summary. Although more and more data on lower limb amputations are becoming available by leveraging the widening access to health care administrative databases, the applicability of these data for public health decisions is still limited. Problems can be traced back to methodological issues, how data are generated and to conceptual issues, namely, how data are interpreted in a multidimensional environment. The present review summarised all of the steps from converting the claims data of administrative databases into the analytical data and reviewed the wide array of sources of potential biases in the analysis of such data. The origins of uncertainty of administrative data analysis include uncontrolled confounding due to a lack of clinical data, the left- and right-censored nature of data collection, the non-standardized diagnosis/procedure-based data extraction methods (i.e., numerator/denominator problems) and additional methodological problems associated with temporal and spatial analyses. The existence of these methodological challenges in the administrative data-based analysis should not deter the analysts from using these data as a powerful tool in the armamentarium of clinical research. However, it must be done with caution and a thorough understanding and respect of the methodological limitations. In addition to this requirement, there is a profound need for pursuing further research on methodology and widening the search for other indicators (structural, process or outcome) that allow a deeper insight how the quality of vascular care may be assessed. Effective research using administrative data is based on strong collaboration in three domains, namely expertise in claims data handling and processing, the clinical field, and statistical analysis. The final interpretations of results and the countermeasures on the level of vascular care ought to be grounded on the integrity of research, open discussions and institutionalized mechanisms of science arbitration and honest brokering.

scholarly journals Lessons learned: Linking patient-reported outcomes data with administrative databases

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Laura Davis ◽  
Alyson Mahar ◽  
Lev Bubis ◽  
Qing Li ◽  
Haoyu Zhao ◽  
...  
Keyword(s):  
Data Collection ◽  
Administrative Data ◽  
Patient Reported Outcomes ◽  
Symptom Assessment ◽  
Lessons Learned ◽  
Assessment System ◽  
System Level ◽  
Administrative Databases ◽  
Composite Indices ◽  
Patient Reported

IntroductionSince 2007, Cancer Care Ontario (CCO) has systematically collected patient-reported outcomes (PROs) in the form of symptom data, for cancer outpatients visiting regional cancer centres or affiliate institutions. Data are used in real-time to facilitate conversation between clinicians and patients and have recently been combined with provincial administrative databases. Objectives and ApproachCCO collects PROs using the Edmonton Symptom Assessment System (ESAS), which scores 9 symptoms on a scale of 0 (no symptoms) to 10 (worst symptom severity). Data were imported from CCO in 2015 and linked to a cancer cohort at ICES. We investigated differences between patients who completed $\geq$1 ESAS record and patients who did not, as well as the number of records, timing of data collection and missingness. We describe our experience linking and using the PRO data to administrative data, including presenting trajectories of symptoms over time and combining scores into composite indices. Results120,745 cancer patients had 729,861 symptom records between 2007 and 2014. Not all patients with a cancer diagnosis had $\geq$1 ESAS record and this varied by patient, disease and system level factors. Because implementation occurred from a clinical perspective, data collection was irregular within and across patients and depended on treatment and other factors; the number of records per patient varied, as well the number of contributing patients in each time period following diagnosis. Attempts were made to create meaningful composite indices by combining all symptom scores as well as combining multiple high scores for each individual symptom. As a result, selecting the best statistical analysis to use these PRO data as an exposure or outcome is still uncertain. Conclusion/ImplicationsPRO data linked to provincial, administrative data holdings represent a new frontier for population-based cancer research, both in their challenging structure as well as their implications for clinical practice and health system. These lessons learned will hopefully support other researchers rigorous use of these data in the future.

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