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Book part
Publication date: 4 October 2018

Afsaneh Roshanghalb, Cristina Mazzali, Emanuele Lettieri and Anna Maria Paganoni

This study investigates the stability of the “hospital effect” on performance over time by administrative health data as a source of evidence. Using 78,907 heart failure…

Abstract

This study investigates the stability of the “hospital effect” on performance over time by administrative health data as a source of evidence. Using 78,907 heart failure adult records from 117 hospitals in the Lombardy Region (Northern Italy) over three years (2010–2012), we analyzed hospital performance in terms of 30-day mortality and 30-day unplanned readmissions to gather evidence about the stability of the “hospital effect.” Best/worst performers were identified through multi-level models that combine both patient and hospital covariates. Our results confirm that managerial choices affect hospital performance, and that the “hospital effect” is not, contrary to expectations, stable over the short term. Performance improvement/worsening over the three years has been also analyzed.

Details

Performance Measurement and Management Control: The Relevance of Performance Measurement and Management Control Research
Type: Book
ISBN: 978-1-78756-469-5

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Book part
Publication date: 30 May 2018

Gianmaria Martini and Giorgio Vittadini

The goal of this contribution is to shed light on the benefits for research in health care coming from the use of administrative data, especially in terms of measuring…

Abstract

The goal of this contribution is to shed light on the benefits for research in health care coming from the use of administrative data, especially in terms of measuring hospitals’ outcomes. The main approaches to health outcome evaluation are reviewed and the possible improvements deriving from the use of administrative data are highlighted. Administrative data may be an essential element in the process of gathering to the public true rankings of health care organizations, reducing the degree of asymmetric information that typically arises in health care. Patients will be more aware of the best institutions, which will induce most of them to demand to be admitted in them, taking into account the costs associated with distance and with the severity of the illness. This in turn may ask for a reorganization of the sector, closing some organizations and expanding others, having as final goal to improve the health status of the population, without income barriers. This is one of the first attempts to provide an overview of the advantages that administrative data may gather in health care.

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Health Econometrics
Type: Book
ISBN: 978-1-78714-541-2

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Article
Publication date: 3 July 2017

Ting Zhang

The purpose of this paper is to illustrate the value of extended time span coverage of state longitudinal education and workforce data system to inform and improve the…

Abstract

Purpose

The purpose of this paper is to illustrate the value of extended time span coverage of state longitudinal education and workforce data system to inform and improve the effectiveness of future high impact expenditure decisions.

Design/methodology/approach

It used an analytical 29-year data file created by the author that links seven already-in-place education and workforce administrative record sources. Relying on the path dependency theory, multi-level mixed-effect logistic and multi-level mixed-effect linear regression models are used to test three hypotheses.

Findings

The findings are consistent with the hypotheses: inclusion of the multiple steps along a post-secondary education pathway and prior job histories are both critical to understanding workforce outcomes mechanisms; it takes time for the employment outcome effect to be evident and strong following education attainment.

Practical implications

The study concludes with research limitations and implications for decision makers to call for retaining and investing in administrative records with extended time span coverage, particularly for the already-in-place historical administrative records.

Originality/value

The paper is one of the first to demonstrate the value of extended time span coverage in a longitudinal state integrated data system through econometric modeling, using longitudinally integrated data linking seven administrative records covering continuously for 29 years. No matter for prior education or employment pathway, it is only through extended time span coverage that employment outcomes can be well measured and the rich nuances interpreting the mechanisms of education return on investment can be revealed.

Details

International Journal of Manpower, vol. 38 no. 4
Type: Research Article
ISSN: 0143-7720

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Book part
Publication date: 25 February 2016

Bhashkar Mazumder

Ideal estimates of the intergenerational elasticity (IGE) in income require a large panel of income data covering the entire working lifetimes for two generations…

Abstract

Ideal estimates of the intergenerational elasticity (IGE) in income require a large panel of income data covering the entire working lifetimes for two generations. Previous studies have demonstrated that using short panels and covering only certain portions of the life cycle can lead to considerable bias. I address these biases by using the PSID and constructing long time averages centered at age 40 in both generations. I find that the IGE in family income in the United States is likely greater than 0.6 suggesting a relatively low rate of intergenerational mobility in the United States. I find similar sized estimates for the IGE in labor income. These estimates support the prior findings of Mazumder (2005a, b) and are also similar to comparable estimates reported by Mitnik et al. (2015). In contrast, a recent influential study by Chetty, Hendren, Kline, Saez (2014) using tax data that begins in 1996 estimates the IGE in family income for the United States to be just 0.344 implying a much higher rate of intergenerational mobility. I demonstrate that despite the seeming advantages of extremely large samples of administrative tax data, the age structure, and limited panel dimension of the data used by Chetty et al. leads to considerable downward bias in estimating the IGE. I further demonstrate that the sensitivity checks in Chetty et al. regarding the age at which children’s income is measured, and the length of the time average of parent income used to estimate the IGE suffer from biases due to these data limitations. There are also concerns that tax data, unlike survey data, may not adequately reflect all sources of family income. Estimates of the rank–rank slope, Chetty et al.’s preferred estimator, are more robust to the limitations of the tax data but are also downward biased and modestly overstate mobility. However, Chetty et al.’s main findings of sizable geographic differences within the US in rank mobility are unlikely to be affected by these biases. I conclude that researchers should continue to use both the IGE and rank-based measures depending on their preferred concept of mobility. It is also important for researchers to have adequate coverage of key portions of the life cycle and to consider the possible drawbacks of using administrative data.

Details

Inequality: Causes and Consequences
Type: Book
ISBN: 978-1-78560-810-0

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Article
Publication date: 15 May 2017

Alicia L. Jurek, Matthew C. Matusiak and Randa Embry Matusiak

The current research explores the structural elaboration of municipal American police organizations, specifically, the structural complexity of police organizations and…

Abstract

Purpose

The current research explores the structural elaboration of municipal American police organizations, specifically, the structural complexity of police organizations and its relationship to time. The purpose of this paper is to describe and test essential elements of the structural elaboration hypothesis.

Design/methodology/approach

The authors explore the structural elaboration hypothesis utilizing a sample of 219 large police departments across the USA. Data are drawn from multiple waves of the Law Enforcement Management and Administrative Statistics survey and are analyzed using tobit and OLS regression techniques.

Findings

While there is some evidence that police departments are becoming more elaborate, little evidence for the structural elaboration hypothesis as a function of time is found.

Originality/value

This project is the first to specifically explore the structural elaboration hypothesis across multiple time points. Additionally, results highlight structural trends across a panel of large American police organizations and provide potential explanations for changes. Suggestions for large-scale policing data collection are also provided.

Details

Policing: An International Journal of Police Strategies & Management, vol. 40 no. 2
Type: Research Article
ISSN: 1363-951X

Keywords

Article
Publication date: 26 November 2021

Zijun Mao, Jingyi Wu, Yali Qiao and Hong Yao

The present paper constructed a new framework for government data governance based on the concept of a data middle platform to elicit the detailed requirements and…

Abstract

Purpose

The present paper constructed a new framework for government data governance based on the concept of a data middle platform to elicit the detailed requirements and functionalities of a government data governance framework.

Design/methodology/approach

Following a three-cycle activity, the design science research (DSR) paradigm was used to develop design propositions. The design propositions are obtained based on a systematic literature review of government data governance and data governance frameworks. Cases and experts further assessed the effectiveness of the implementation of the artifacts.

Findings

The study developed an effective framework for government data governance that supported the digital service needs of the government. The results demonstrated the advantages of the framework in adapting to organizational operations and data, realized the value of data assets, improved data auditing and oversight and facilitated communication. From the collection of data to the output of government services, the framework adapted to the new characteristics of digital government.

Originality/value

Knowledge of the “data middle platforms” generated in this study provides new knowledge to the design of government data governance frameworks and helps translate design propositions into concrete capabilities. By reviewing earlier literature, the article identified the core needs and challenges of government data governance to help practitioners approach government data governance in a structured manner.

Details

Aslib Journal of Information Management, vol. 74 no. 2
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 28 September 2012

Pietro Giorgio Lovaglio

The purpose of this paper is to provide international data on the occurrence (and rates) of clinical errors, identified by type and consequence in the Lombardy region, and…

Abstract

Purpose

The purpose of this paper is to provide international data on the occurrence (and rates) of clinical errors, identified by type and consequence in the Lombardy region, and to assess empirically the association between hospital accreditation‐type measures and clinical error rates by merging hospital discharge records and medical malpractice claim data in the Lombardy region (Italy).

Design/methodology/approach

Data were drawn from the regional database collecting claims and demands for reimbursement declared by patients hospitalized in regional healthcare structures and regional archives collecting hospital discharge records. To model the variability of clinical errors rates, binomial negative regression models were applied. For improved interpretation of the results, a regression tree methodology was used.

Findings

The results demonstrated that the rate of readmission for the same major diagnostic category and the rate of discharges against medical advice significantly affect the incidence of errors causing patient death, whereas the rate of unscheduled surgical readmission in the operating room significantly affects the rate of surgical error.

Research limitations/implications

The findings confirm that claims data is problematic in nature because of the limited number of claims generally emerging from administrative sources. The article proposes using proper regression models for count data, taking into account over‐dispersion and excess zeroes and classification tree methods for a better interpretation of empirical evidence.

Practical implications

Health structures where quality outcomes have a significant impact on clinical error rates should be monitored in depth, investigating the medical charts of involved patients to identify quality problems and problematic areas.

Originality/value

As a risk management strategy, the combined use of claims data and clinical administrative data is proposed to shed light on the more problematic, error‐prone areas, allowing regional stakeholders to receive relevant, highly cost‐effective and timely information and an in‐depth understanding of the problematic areas in the assessment of risk.

Details

International Journal of Health Care Quality Assurance, vol. 25 no. 8
Type: Research Article
ISSN: 0952-6862

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Article
Publication date: 18 October 2011

Marco Caliendo, Armin Falk, Lutz C. Kaiser, Hilmar Schneider, Arne Uhlendorff, Gerard van den Berg and Klaus F. Zimmermann

This paper aims to present the IZA Evaluation Dataset, a newly created data source allowing for the evaluation of active labor market policies in Germany.

Abstract

Purpose

This paper aims to present the IZA Evaluation Dataset, a newly created data source allowing for the evaluation of active labor market policies in Germany.

Design/methodology/approach

The paper's approach is a description of the sampling and contents of the IZA Evaluation Dataset and an outline of its research potential.

Findings

The evaluation of active labor market policies is often confronted with a lack of adequate empirical data. The IZA Evaluation Dataset may serve as a role model for the provision of such data.

Research limitations/implications

The scope of active labor market policy instruments that can be analyzed with the IZA Evaluation Dataset is mainly restricted to measures for unemployed individuals.

Originality/value

In recent years, many countries have opened their administrative databases for evaluation studies. However, information that might be relevant for economic modeling is often absent. The IZA Evaluation Dataset aims to overcome such limitations for Germany by complementing administrative data from the Federal Employment Agency with innovative survey data.

Details

International Journal of Manpower, vol. 32 no. 7
Type: Research Article
ISSN: 0143-7720

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Article
Publication date: 27 June 2019

Ayoung Yoon and Devan Ray Donaldson

The purpose of this paper is to understand the landscape of data curation services among public and academic libraries in the USA, with a focus on library capacity for…

Abstract

Purpose

The purpose of this paper is to understand the landscape of data curation services among public and academic libraries in the USA, with a focus on library capacity for providing data curation services.

Design/methodology/approach

The authors conducted an online survey by employing stratified sampling from the American Library Directory. A total of 198 responses were analyzed.

Findings

The authors’ findings provide insight into the current landscape of libraries’ data curation services. The survey participants evaluated six capacity dimensions for both public and academic libraries – value, financial, administrative, technical infrastructure, human resources and network. The ratings the participants gave to these capacity dimensions were significantly different between academic and public libraries.

Practical implications

This study suggests several areas in which libraries will benefit from further developing their capacity to successfully run data curation services.

Originality/value

This is among the first research study to address the concept of capacity in the context of libraries’ data curation services.

Details

Library Hi Tech, vol. 37 no. 4
Type: Research Article
ISSN: 0737-8831

Keywords

Article
Publication date: 9 July 2021

Martin Bouchard

As useful as police data have been in furthering our knowledge of gangs and gang violence networks, not everything about gang networks can be learned from examining police…

Abstract

Purpose

As useful as police data have been in furthering our knowledge of gangs and gang violence networks, not everything about gang networks can be learned from examining police data alone. There are numerous alternative sources of data that already exist on gang networks and some that can be developed further. This study aims to introduce existing research on social networks and gangs with a specific focus on prisons and schools.

Design/methodology/approach

This study reviews the existing empirical literature on gang networks in schools and prison settings and use the broader literature on social networks and crime to propose directions for future research, including specific suggestions on data collection opportunities that are considered to be low-cost; that is, strategies that simply make use of existing administrative records in both settings, instead of developing original data collection procedures.

Findings

The author found the existing literature on each of these settings to be quite limited, especially when the spotlight is put specifically on gang networks. These shortcomings can be addressed via low-cost opportunities for data collection in each of these settings, opportunities that simply require the network coding of existing administrative records as a foundation for gang network studies.

Originality/value

Investing in these low-cost network data collection activities have the potential for theoretical and empirical contributions on our understanding of gang networks, and may also bring value to practitioners working in school and prison settings as a guide for network-based planning or interventions.

Details

Journal of Aggression, Conflict and Peace Research, vol. 13 no. 2/3
Type: Research Article
ISSN: 1759-6599

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