Assessing Uncertainty When Using Linked Administrative Records

2021 ◽  
pp. 139-153
Author(s):  
Jerome P. Reiter
Keyword(s):  
Administrative Records

scholarly journals Women’s Attrition from Male-Dominated Workplaces in Norway: The Importance of Numerical Minority Status, Motherhood and Class

2021 ◽  
pp. 095001702110042
Author(s):  
Aleksander Å Madsen ◽  
Idunn Brekke ◽  
Silje Bringsrud Fekjær
Keyword(s):  
Sex Differences ◽  
Fixed Effects ◽  
Minority Status ◽  
Occupational Class ◽  
Attrition Rates ◽  
Administrative Records ◽  
Fixed Effects Models ◽  
Increased Risk ◽  
Male Dominated ◽  
Working Class Women

This study explores women’s attrition from male-dominated workplaces based on Norwegian public administrative records, covering individuals born 1945–1983, in the period between 2003 and 2013. It examines sex differences in rates of attrition and tests the significance of two commonly proposed explanations in the literature, namely the degree of numerical minority status and motherhood. It also investigates whether these explanations vary by occupational class. Selection into male-dominated workplaces is accounted for by using individual fixed effects models. The results show that attrition rates from male-dominated workplaces are considerably higher among women than among men. Moreover, the risk of female attrition to sex-balanced workplaces increases, regardless of occupational class, with increases in the percentage of males. Childbirth is associated with an increased risk of attrition to female-dominated workplaces, while having young children (⩽ 10 years old) lowered the risk. This association, however, was primarily evident among working-class women in manual occupations.

scholarly journals Introduction to the Special Issue on New Longitudinal Data for Retirement Analysis and Policy

2021 ◽  
pp. 1-5
Author(s):  
Marco Angrisani ◽  
Anya Samek ◽  
Arie Kapteyn
Keyword(s):  
Big Data ◽  
Academic Research ◽  
Cost Effective ◽  
Research Data ◽  
Data Sources ◽  
Special Issue ◽  
Administrative Records ◽  
The Past ◽  
Survey Questionnaires ◽  
Internet Panels

The number of data sources available for academic research on retirement economics and policy has increased rapidly in the past two decades. Data quality and comparability across studies have also improved considerably, with survey questionnaires progressively converging towards common ways of eliciting the same measurable concepts. Probability-based Internet panels have become a more accepted and recognized tool to obtain research data, allowing for fast, flexible, and cost-effective data collection compared to more traditional modes such as in-person and phone interviews. In an era of big data, academic research has also increasingly been able to access administrative records (e.g., Kostøl and Mogstad, 2014; Cesarini et al., 2016), private-sector financial records (e.g., Gelman et al., 2014), and administrative data married with surveys (Ameriks et al., 2020), to answer questions that could not be successfully tackled otherwise.

scholarly journals Use of past care markers in risk-adjustment: accounting for systematic differences across providers

2021 ◽  
Author(s):  
Laura Anselmi ◽  
Yiu-Shing Lau ◽  
Matt Sutton ◽  
Anna Everton ◽  
Rob Shaw ◽  
...  
Keyword(s):  
Risk Adjustment ◽  
Fixed Effects ◽  
Goodness Of Fit ◽  
Reporting Quality ◽  
Cost Of Care ◽  
Local Health ◽  
Administrative Records ◽  
Practice Level ◽  
Improve Model ◽  
The Cost

AbstractRisk-adjustment models are used to predict the cost of care for patients based on their observable characteristics, and to derive efficient and equitable budgets based on weighted capitation. Markers based on past care contacts can improve model fit, but their coefficients may be affected by provider variations in diagnostic, treatment and reporting quality. This is problematic when distinguishing need and supply influences on costs is required.We examine the extent of this bias in the national formula for mental health care using administrative records for 43.7 million adults registered with 7746 GP practices in England in 2015. We also illustrate a method to control for provider effects.A linear regression containing a rich set of individual, GP practice and area characteristics, and fixed effects for local health organisations, had goodness-of-fit equal to R2 = 0.007 at person level and R2 = 0.720 at GP practice level. The addition of past care markers changed substantially the coefficients on the other variables and increased the goodness-of-fit to R2 = 0.275 at person level and R2 = 0.815 at GP practice level. The further inclusion of provider effects affected the coefficients on GP practice and area variables and on local health organisation fixed effects, increasing goodness-of-fit at GP practice level to R2 = 0.848.With adequate supply controls, it is possible to estimate coefficients on past care markers that are stable and unbiased. Nonetheless, inconsistent reporting may affect need predictions and penalise populations served by underreporting providers.

scholarly journals A Network Approach for the Study of Drug Prescriptions: Analysis of Administrative Records from a Local Health Unit (ASL TO4, Regione Piemonte, Italy)

2021 ◽  
Vol 18 (9) ◽  
pp. 4859
Author(s):  
Gianluca Miglio ◽  
Lara Basso ◽  
Lucrezia G. Armando ◽  
Sara Traina ◽  
Elisa Benetti ◽  
...  
Keyword(s):  
Administrative Data ◽  
Anatomical Therapeutic Chemical ◽  
Drug Prescription ◽  
Local Health ◽  
Prescription Data ◽  
Health Unit ◽  
Local Health Unit ◽  
Administrative Records ◽  
Edge Linking ◽  
Novel Approach

In a Drug Prescription Network (DPN), each drug is represented as a node and two drugs co-prescribed to the same patient are represented as an edge linking the nodes. The use of DPNs is a novel approach that has been proposed as a means to study the complexity of drug prescription. The aim of this study is to demonstrate the analytical power of the DPN-based approach when it is applied to the analysis of administrative data. Drug prescription data that were collected at a local health unit (ASL TO4, Regione Piemonte, Italy), over a 12-month period (July 2018–June 2019), were used to create several DPNs that correspond to the five levels of the Anatomical Therapeutic Chemical classification system. A total of 5,431,335 drugs prescribed to 361,574 patients (age 0–100 years; 54.7% females) were analysed. As indicated by our results, the DPNs were dense networks, with giant components that contain all nodes. The disassortative mixing of node degrees was observed, which implies that non-random connectivity exists in the networks. Network-based methods have proven to be a flexible and efficient approach to the analysis of administrative data on drug prescription.

Lone Mothers, Ethnicity and Welfare Dynamics

2009 ◽  
Vol 39 (1) ◽  
pp. 95-118 ◽  
Author(s):  
CHRISTINA MOKHTAR ◽  
LUCINDA PLATT
Keyword(s):  
Extensive Literature ◽  
Welfare Dependency ◽  
Data Set ◽  
Administrative Records ◽  
Lone Parents ◽  
Lone Mothers ◽  
Minority Ethnic Groups ◽  
Policy Concern ◽  
The Uk ◽  
Minority Ethnic

AbstractThis article investigates the ethnic patterning of exit from means-tested benefits in a UK town. Lone parents in the UK face high risks of poverty and high rates of receipt of means-tested, out-of-work benefits. There has been extensive policy concern with lone parents' poverty and with potential ‘welfare dependency’. Investigation of welfare dynamics has unpacked the notion of welfare dependency, and has stimulated policy to better understand the factors associated with longer rather than shorter durations. However, within this analysis, there has been little attention paid to ethnicity. This is despite the fact that the extensive literature on the UK's minority ethnic groups has emphasised diversity in both rates of lone parenthood and risks of poverty. To date we have little understanding of ethnic variation in lone parents' welfare dynamics. Using a data set drawn from administrative records, this article analyses the chances of leaving means-tested benefit for a set of lone mothers in a single town, exploring whether there is variation by ethnic group. We find that, controlling for basic demographic characteristics, there is little evidence to suggest that ethnicity affects the chances of benefit exit, even between groups where rates of lone parenthood are very different.

scholarly journals Ill, Itinerant, and Insured: The Top 20 Users of Emergency Departments in Baltimore City

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Barbara Y. DiPietro ◽  
Dana Kindermann ◽  
Stephen M. Schenkel
Keyword(s):  
Emergency Departments ◽  
Social Factor ◽  
Homeless People ◽  
Chronic Illnesses ◽  
Limb Pain ◽  
Baltimore City ◽  
Administrative Records ◽  
Immunodeficiency Virus ◽  
High Acuity ◽  
Alteration Of Consciousness

The purpose of this study was to document the clinical and demographic characteristics of the 20 most frequent users of emergency departments (EDs) in one urban area. We reviewed administrative records from three EDs and two agencies providing services to homeless people in Baltimore City. The top 20 users accounted for 2,079 visits at the three EDs. Their mean age was 48, and median age was 51. Nineteen patients visited at least 2 EDs, 18 were homeless, and 13 had some form of public insurance. The vast majority of visits (86%) were triaged as moderate or high acuity. The five most frequent diagnoses were limb pain (n=9), lack of housing (n=6), alteration of consciousness (n=6), infection with human immunodeficiency virus (HIV) (n=5), and nausea/vomiting (n=5). Hypertension, HIV infection, diabetes, substance abuse, and alcohol abuse were the most common chronic illnesses. The most frequent ED users were relatively young, accounted for a high number of visits, used multiple EDs, and often received high triage scores. Homelessness was the most common characteristic of this patient group, suggesting a relationship between this social factor and frequent ED use.

Linking Federal Surveys with Administrative Data to Improve Research on Families

2016 ◽  
Vol 669 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Amy O’Hara ◽  
Rachel M. Shattuck ◽  
Robert M. Goerge
Keyword(s):  
Survey Data ◽  
Administrative Data ◽  
Low Income ◽  
Family Relationships ◽  
Census Data ◽  
Federal State ◽  
Great Promise ◽  
Science Literature ◽  
Administrative Records ◽  
State And Local

Linkage of federal, state, and local administrative records to survey data holds great promise for research on families, in particular research on low-income families. Researchers can use administrative records in conjunction with survey data to better measure family relationships and to capture the experiences of individuals and family members across multiple points in time and social and economic domains. Administrative data can be used to evaluate program participation in government social welfare programs, as well as to evaluate the accuracy of reporting on receipt of such benefits. Administrative records can also be used to enhance collection and accuracy of survey and census data and to improve coverage of hard-to-reach populations. This article discusses potential uses of linked administrative and survey data, gives an overview of the linking methodology and infrastructure (including limitations), and reviews social science literature that has used this method to date.

scholarly journals Metodologia Powszechnego Spisu Ludności I Mieszkań 2011 r. w zakresie pytań etnicznych

2013 ◽  
pp. 97-133
Author(s):  
Elżbieta Gołata
Keyword(s):  
Ethnic Minorities ◽  
Personal Data ◽  
Sample Survey ◽  
Methodological Issues ◽  
Administrative Records ◽  
Regional Dialects ◽  
National Minorities ◽  
Small Area Statistics ◽  
Basic Characteristics ◽  
The One

The aim of the study is to assess the methodology of 2011 Population and Housing Census in terms of ethnic questions. The study focused on questions concerning national minorities and ethnic and regional dialects aside from issues of religion. Assessing census methodology legal regulations were discussed, including relation between census estimates and statutory rights of national minorities. In this topic, attention was paid to the protection of “privacy” and the confidentiality of personal data, the reliability of ethnic data obtained in censuses and the need for their acquisition. Afterwards relationship between international recommendations and the way the recognition of ethnic questions in 2011 census was presented. With regard to methodological issues, first methods of conducting population censuses were discussed. Comparing the traditional method, and the one based on administrative records, the attention was drawn to the fulfillment of the UN Recommendations as concerns basic characteristics of the census. Focused on register-based approach, the possibilities of estimating information relating to national and ethnic minorities were discussed. Attention was paid to the consequences of defining different categories of the census population and sample survey conducted within the 2011 census. Possibilities of small area statistics and calibration were presented. Particular attention was paid to the possibility of estimating information on national and ethnic minorities.

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.

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