Incapacity or unemployment? The utility of an administrative data source as an updatable indicator of population health

2007 ◽  
Vol 13 (5) ◽  
pp. 333-352 ◽  
Author(s):  
Paul Norman ◽  
Clare Bambra
Keyword(s):  
Population Health ◽  
Administrative Data ◽  
Administrative Data Source ◽  
Data Source

scholarly journals Models for Combining Aggregate-Level Administrative Data in the Absence of a Traditional Census

2015 ◽  
Vol 31 (3) ◽  
pp. 431-451 ◽  
Author(s):  
Dilek Yildiz ◽  
Peter W.F. Smith
Keyword(s):  
Administrative Data ◽  
Census Data ◽  
Geographical Area ◽  
Population Data ◽  
Population Characteristics ◽  
Data Sources ◽  
Aggregate Level ◽  
Administrative Data Source ◽  
Data Source ◽  
Population Counts

Abstract Administrative data sources are an important component of population data collection and they have been used in census data production in the Nordic countries since the 1960s. A large amount of information about the population is already collected in administrative data sources by governments. However, there are some challenges to using administrative data sources to estimate population counts by age, sex, and geographical area as well as population characteristics. The main limitation with the administrative data sources is that they only collect information from a subset of the population about specific events, and this may result in either undercoverage or overcoverage of the population. Another issue with the administrative data sources is that the information may not have the same quality for all population groups. This research aims to correct an inaccurate administrative data source by combining aggregate-level administrative data with more accurate marginal distributions or two-way marginal information from an auxiliary data source and produce accurate population estimates in the absence of a traditional census. The methodology developed is applied to estimate population counts by age, sex, and local authority area in England and Wales. The administrative data source used is the Patient Register which suffers from overcoverage, particularly for people between the ages of 20 and 50.

scholarly journals Use of Administrative Data for Waste Statistics in the Czech Republic

2021 ◽  
Vol 101 (4) ◽  
pp. 445-449
Author(s):  
Marie Boušková ◽  
Tomáš Harák
Keyword(s):  
Czech Republic ◽  
Administrative Data ◽  
Reporting System ◽  
Original Method ◽  
Municipal Waste ◽  
Environmental Reporting ◽  
The Czech Republic ◽  
Administrative Data Source ◽  
Data Source ◽  
Definition Of

The Czech Statistical Office (CZSO) changed the calculation of the total volume of waste and also changed the definition of municipal waste compared to the previous methodology. This was made possible by the wider use of the existing administrative data source, the Integrated Environmental Reporting System (ISPOP). The change in the definition of municipal waste was a response to recent Eurostat activities, which led to a more precise definition. The original method no longer meets this definition.

Property Taxation Data for Nondomestic Buildings in England and Wales

10.1068/bst6 ◽  
2000 ◽  
Vol 27 (1) ◽  
pp. 33-49 ◽  
Author(s):  
Harry Bruhns
Keyword(s):  
Administrative Data ◽  
Fossil Fuels ◽  
Building Construction ◽  
Building Stock ◽  
England And Wales ◽  
Property Taxation ◽  
Considerable Research ◽  
Administrative Data Source ◽  
Data Source ◽  
The Uk

In this paper I will describe data provided by the UK Valuation Office (VO) for the national Non-Domestic Building Stock database developed for the Department of the Environment, Transport and the Regions. The purpose of this database is to support policymaking for the conservation of fossil fuels and the reduction of greenhouse gas emissions. The fact that the VO data cover floor areas, activities, building construction, and building services—all of which are liable to affect the use of fuels in buildings—make them specially valuable for this application. Several tables and charts derived from the VO data are presented, containing statistics on the nondomestic building stock of England and Wales. A review is then given of the very considerable research potential of such a large administrative data source as the VO databases. Some of the problems that arise in the use of those data are examined.

scholarly journals Housing and Health: Linking Population Health Survey Data to Housing Assistance Data

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Cordell Golden ◽  
Lisa Mirel
Keyword(s):  
Population Health ◽  
Data Sharing ◽  
Survey Data ◽  
Administrative Data ◽  
Linked Data ◽  
Data Access ◽  
Data Sources ◽  
Housing Assistance ◽  
Data Files ◽  
Data Source

IntroductionThe linkage of survey data with administrative data enhances the scientific value and analytic potential of both sources of information. Combining multiple data sources facilitates richer analyses and allows data users to answer research questions that cannot be addressed easily using a single data source. Objectives and ApproachRecently, the United States National Center for Health Statistics (NCHS) and Department of Housing and Urban Development (HUD) collaborated to link two population health surveys conducted by NCHS with housing assistance program data maintained by HUD. The resulting linked data files enable researchers to examine relationships between the receipt of federal housing assistance and health. In this talk, we will describe some of the challenges faced when initiating a data sharing agreement between two federal agencies governed by distinct legislative authorities, particularly issues related to legal requirements and data access. ResultsWe will describe each of the data sources used in the linkage as well as the methodology used to combine the data. Lastly, the discussion will focus on the inter-agency collaboration that led to the production of the supporting technical documentation developed to assist researchers using the linked data files. The linkage of NCHS survey data and HUD administrative data serves as an example of how two agencies were able to overcome challenges to successfully form a data sharing partnership as a cost-effective means to develop a robust data source that benefits the collaborating agencies as well as policy makers and outside researchers. Conclusion/ImplicationsBoth agencies anticipate that this partnership will continue as additional survey and administrative data are collected.

scholarly journals Working with federal government agencies to unlock administrative data

2018 ◽  
Vol 3 (5) ◽  
Author(s):  
Jennifer Auer
Keyword(s):  
Administrative Data ◽  
Source Coding ◽  
Low Cost ◽  
Census Bureau ◽  
Project Proposal ◽  
The Public ◽  
Econometric Methods ◽  
Technical Specifications ◽  
Data Source ◽  
Link Information

Federal administrative data is a low-cost and low-burden data source for evidence-based policy making. By linking information from different surveys, or over time, researchers can achieve the sample size and variation needed for advanced econometric methods. However, the personally identifying information (PII) needed to link information means that these data re not available to the public. One solution is to provide technical specifications to the requisite agency(s) to execute the research. This paper outlines the process and pitfalls of drafting specifications for an implementing party who knows more about the data than you do. Drawing on experience from working with the U.S. Census Bureau and knowledge gained from related literatures, such as open-source coding, this paper recommends the depth of description, order of data manipulation and analysis, and requested output to make these collaborative projects successful. A federal administrative data project proposal template is offered. The paper also advises on information that federal agencies can supply to facilitate the use of these important data sources.

scholarly journals Identifying Prenatal Opioid Exposure in Health Administrative Data for Public Health Surveillance and Epidemiologic Research

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Andi Camden ◽  
Teresa To ◽  
Joel G Ray ◽  
Tara Gomes ◽  
Li Bai ◽  
...  
Keyword(s):  
Prescription Drug ◽  
Administrative Data ◽  
Population Based ◽  
Emergency Department Visits ◽  
Prescription Data ◽  
Opioid Use ◽  
Health Administrative Data ◽  
Maternal Characteristics ◽  
Data Source ◽  
The Impact

IntroductionAccurate estimation of prenatal opioid exposure (POE) is needed for population-based surveillance & research but can be challenging with health administrative data due to varying definitions & methods. Prior research has relied primarily on infant records with a diagnosis of neonatal abstinence syndrome (NAS). Objectives and Approach1) Evaluate the impact of using different definitions of maternal opioid use in the estimation of POE; 2) Investigate whether maternal characteristics vary by the type of definition used. Population-based cross-sectional study of all hospital births (N= 454,746) from 2014-2017 in Ontario, Canada. Multiple linked population-based health administrative databases were used to identify opioid-related pre- & perinatal Emergency Department visits & hospitalizations & opioid prescriptions. We examined how pre-conception & in-pregnancy maternal characteristics varied by using different approaches to ascertain POE. ResultsThere were 9624 live/still births with POE. Ascertainment of POE was highest using maternal prescription drug data (79%) & infant hospital records with NAS (45%). Maternal characteristics varied by data source used for POE ascertainment. Opioid-related health care during pregnancy identified a high-risk phenotype, contrasted with those ascertained through prescription data, with respective rates of 64% vs. 54% for social assistance, 37% vs. 12% for polydrug use, 23% vs. 6% for alcohol use, 26% vs. 19% for 3+ live births, 13% vs. 5% for victim of violence, 12% vs. 6% for involvement in criminal justice system & 64% vs. 17% for mental health & addictions hospital care. Conclusion / ImplicationsPOE ascertainment differs by health administrative data source & ability to link both across maternal records and with infant. Prescription drug data identified the highest number of opioid-exposed births and, with linked healthcare records, is useful to identify illicit opioid use & additional risk factors. Clinically meaningful differences in maternal characteristics of opioid users exist by POE ascertainment method.

scholarly journals Social outcomes associated with alcohol-related diagnoses: a population-based analysis using linked administrative data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Nathan Nickel ◽  
Leonard MacWilliam ◽  
Oke Eukema ◽  
Heather Prior ◽  
Joshua Nepon
Keyword(s):  
Population Health ◽  
Social Services ◽  
Administrative Data ◽  
Health Research ◽  
Justice System ◽  
Population Based ◽  
Social Outcomes ◽  
Before And After ◽  
One Year ◽  
A Charge

ABSTRACT ObjectiveThe objective of this population health research is to identify the social burden associated with having an alcohol related diagnosis. MethodsWe used linkable population-based administrative data files held in the Population Health Research Data Repository to conduct our research, fiscal years 1990/91 to 2014/15. Data came from several domains including health, social services, justice, and the Canadian Census. We used ICD-9/10-CA codes from the hospital abstract database, medical claims data, and prescription drug data to identify individuals with an alcohol-related diagnosis. Individuals’ socioeconomic status was determined using neighbourhood-level income data from the Canadian Census. We matched, 3:1, diagnosed cases to individuals in our repository using on age, sex, income, and community area. We linked cases and matches to administrative data from justice and social services to identify social outcomes associated with having an alcohol-related diagnosis. Outcomes included receipt of income assistance, residence in publically funded social housing, having a child apprehended by child and family protective services, having a charge for driving under the influence recorded in the justice data, and having a charge for domestic violence recorded in the justice data. We modelled rates using generalized estimating equations from 5 years before date of diagnosis to a maximum of 20 years after date of diagnosis. Models tested for significant differences in rates between cases and matches both before and after diagnosis; as well, we tested for time trends in rates both before and after diagnosis. ResultsWe identified 52,991 individuals with an alcohol related diagnosis between 1990/91 and 2014/15: 34,145 males and 18,846 females. 80.3% of cases had a mental-health related alcohol diagnosis. Diagnoses followed a socioeconomic gradient with the greatest number of cases coming from low-income neighbourhoods. Cases had a significant spike in rates from one year before to one year after diagnosis date, compared with matches, across all indicators. When we followed individuals for 20 years after diagnosis, we found a significantly elevated rate of social service use and involvement with the justice system, across all outcomes, for all years. ConclusionReceiving an alcohol-related diagnosis is associated with subsequent increased use of social services and contacts with the justice system. Upstream efforts to reduce alcohol-related diagnoses may result in reduced use of social services and justice contacts.

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