scholarly journals Detecting Reporting Errors in Data from Decentralised Autonomous Administrations with an Application to Hospital Data

2018 ◽  
Vol 34 (4) ◽  
pp. 863-888 ◽  
Author(s):  
Arnout van Delden ◽  
Jan van der Laan ◽  
Annemarie Prins
Keyword(s):  
Administrative Data ◽  
Reference Group ◽  
Original Data ◽  
Data Sources ◽  
Categorical Variables ◽  
Hospital Data ◽  
Administrative Burden ◽  
Reporting Behaviour ◽  
Predictive Mean Matching

Abstract Administrative data sources are increasingly used by National Statistical Institutes to compile statistics. These sources may be based on decentralised autonomous administrations, for instance municipalities that deliver data on their inhabitants. One issue that may arise when using these decentralised administrative data is that categorical variables are underreported by some of the data suppliers, for instance to avoid administrative burden. Under certain conditions overreporting may also occur. When statistical output on changes is estimated from decentralised administrative data, the question may arise whether those changes are affected by shifts in reporting frequencies. For instance, in a case study on hospital data, the values from certain data suppliers may have been affected by changes in reporting frequencies. We present an automatic procedure to detect suspicious data suppliers in decentralised administrative data in which shifts in reporting behaviour are likely to have affected the estimated output. The procedure is based on a predictive mean matching approach, where part of the original data values are replaced by imputed values obtained from a selected reference group. The method is successfully applied to a case study with administrative hospital data.

scholarly journals Examining Disclosure Risk and Data Utility: An Administrative Data Case Study

2014 ◽  
Vol 9 (1) ◽  
pp. 12-24
Author(s):  
Michael Comerford
Keyword(s):  
Administrative Data ◽  
Real World ◽  
Data Sources ◽  
Sufficient Data ◽  
Ethical Challenges ◽  
Data Utility ◽  
Disclosure Risk ◽  
Individual Privacy

The plethora of new data sources, combined with a growing interest in increased access to previously unpublished data, poses a set of ethical challenges regarding individual privacy. This paper sets out one aspect of those challenges: the need to anonymise data in such a form that protects the privacy of individuals while providing sufficient data utility for data users. This issue is discussed using a case study of Scottish Government’s administrative data, in which disclosure risk is examined and data utility is assessed using a potential ‘real-world’ analysis.

Integration of statistical and administrative agricultural data from Namibia

2021 ◽  
pp. 1-22
Author(s):  
Emily Berg ◽  
Johgho Im ◽  
Zhengyuan Zhu ◽  
Colin Lewis-Beck ◽  
Jie Li
Keyword(s):  
Measurement Error ◽  
Data Collection ◽  
Administrative Data ◽  
Statistical Data ◽  
Data Sources ◽  
Extension Programs ◽  
Multiple Data ◽  
Administrative Agencies ◽  
Crop Area ◽  
Using Data

Statistical and administrative agencies often collect information on related parameters. Discrepancies between estimates from distinct data sources can arise due to differences in definitions, reference periods, and data collection protocols. Integrating statistical data with administrative data is appealing for saving data collection costs, reducing respondent burden, and improving the coherence of estimates produced by statistical and administrative agencies. Model based techniques, such as small area estimation and measurement error models, for combining multiple data sources have benefits of transparency, reproducibility, and the ability to provide an estimated uncertainty. Issues associated with integrating statistical data with administrative data are discussed in the context of data from Namibia. The national statistical agency in Namibia produces estimates of crop area using data from probability samples. Simultaneously, the Namibia Ministry of Agriculture, Water, and Forestry obtains crop area estimates through extension programs. We illustrate the use of a structural measurement error model for the purpose of synthesizing the administrative and survey data to form a unified estimate of crop area. Limitations on the available data preclude us from conducting a genuine, thorough application. Nonetheless, our illustration of methodology holds potential use for a general practitioner.

Severe Maternal Morbidity: A Comparison of Definitions and Data Sources

2021 ◽  
Author(s):  
Jonathan M Snowden ◽  
Audrey Lyndon ◽  
Peiyi Kan ◽  
Alison El Ayadi ◽  
Elliott Main ◽  
...  
Keyword(s):  
Administrative Data ◽  
Maternal Morbidity ◽  
Claims Data ◽  
Birth Certificate ◽  
Population Level ◽  
Kappa Statistic ◽  
Data Sources ◽  
Severe Maternal Morbidity ◽  
Fine Grained ◽  
Control And Prevention

Abstract Severe maternal morbidity (SMM) is a composite outcome measure that indicates serious, potentially life-threatening maternal health problems. There is great interest in defining SMM using administrative data for surveillance and research. In the US, one common way of defining SMM at the population level is an index developed by the Centers for Disease Control and Prevention. Modifications have been proposed to this index (e.g., excluding maternal transfusion); some research defines SMM using an index introduced by Bateman et al. Birth certificate data are also increasingly being used to define SMM. We compared commonly used US definitions of SMM to each other among all California births, 2007-2012, using the Kappa statistic and other measures. We also evaluated agreement between maternal morbidity fields on the birth certificate compared to claims data. Concordance was generally low between the 7 definitions of SMM analyzed (i.e., κ < 0.4 for 13 of 21 two-way comparisons), Low concordance was particularly driven by presence/absence of transfusion and claims data versus birth certificate definitions. Low agreement between administrative data-based definitions of SMM highlights that results can be expected to differ between them. Further research is needed on validity of SMM definitions, using more fine-grained data sources.

7. Combining Information fromMultiple Data Sources: An Introduction to Cross-Design Synthesis with a Case Study

2017 ◽  
pp. 203-226 ◽  
Author(s):  
Joel B. Greenhouse ◽  
Heather D. Anderson ◽  
Jeffrey A. Bridge ◽  
Anne M. Libby ◽  
Robert Valuck ◽  
...  
Keyword(s):  
Data Sources ◽  
Design Synthesis ◽  
Combining Information

scholarly journals Cross-national comparisons of health indicators require standardized definitions and common data sources

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Hanna Tolonen ◽  
Jaakko Reinikainen ◽  
Päivikki Koponen ◽  
Hanna Elonheimo ◽  
Luigi Palmieri ◽  
...  
Keyword(s):  
Health Care ◽  
National Level ◽  
International Health ◽  
Health Indicators ◽  
Data Sources ◽  
Similar Data ◽  
Prevention And Health Promotion ◽  
Using Data ◽  
Obesity Hypertension

Abstract Background Health indicators are used to monitor the health status and determinants of health of the population and population sub-groups, identify existing or emerging health problems which would require prevention and health promotion activities, help to target health care resources in the most adequate way as well as for evaluation of the success of public health actions both at the national and international level. The quality and validity of the health indicator depends both on available data and used indicator definition. In this study we will evaluate existing knowledge about comparability of different data sources for definition of health indicators, compare how selected health indicators presented in different international databases possibly differ, and finally, present the results from a case study from Finland on comparability of health indicators derived from different data sources at national level. Methods For comparisons, four health indicators were selected that were commonly available in international databases and available for the Finnish case study. These were prevalence of obesity, hypertension, diabetes, and asthma in the adult populations. Our evaluation has three parts: 1) a scoping review of the latest literature, 2) comparison of the prevalences presented in different international databases, and 3) a case study using data from Finland. Results Literature shows that comparability of estimated outcomes for health indicators using different data sources such as self-reported questionnaire data from surveys, measured data from surveys or data from administrative health registers, varies between indicators. Also, the case study from Finland showed that diseases which require regular health care visits such as diabetes, comparability is high while for health outcomes which can remain asymptomatic for a long time such as hypertension, comparability is lower. In different international health related databases, country specific results differ due to variations in the used data sources but also due to differences in indicator definitions. Conclusions Reliable comparison of the health indicators over time and between regions within a country or across the countries requires common indicator definitions, similar data sources and standardized data collection methods.

scholarly journals Philanthropic and ecological values of Merti Desa Tambakbayan tradition in Tambakboyo Village, Tawangsari District, Sukoharjo Regency

2021 ◽  
Vol 905 (1) ◽  
pp. 012083
Author(s):  
D T Ardianto ◽  
S Mataram
Keyword(s):  
Cultural Heritage ◽  
Social Status ◽  
Field Data ◽  
Data Sources ◽  
Joint Activities ◽  
Ecological Values ◽  
Environmental Balance ◽  
The Village

Abstract The Javanese tradition is manifested in various forms, one of which is Merti Desa Tambakbayan tradition in Tambakboyo Village, Tawangsari District, Sukoharjo Regency. This annual tradition is a cultural heritage that help to maintain environmental balance. This study seeks to describe the philanthropic and ecological values of Merti Desa Tambakbayan tradition. This research was a case study with traditional event as the object. The data sources were the Merti Desa Tambakbayan events, documents, and interview results with informants. The obtained field data showed the existence of philanthropic and ecological values in Tambakboyo community. These values can be seen from the traditions of having feast and exchanging meals together, and joint activities to clean up the environment around the village regardless of social status. These attitudes are essentials, especially when some members of the society are experiencing economic difficulties due to the ongoing Covid-19 pandemic.

scholarly journals Multi-province epidemiological research using linked administrative data: a case study from Canada.

2018 ◽  
Vol 3 (3) ◽  
Author(s):  
Amanda Leanne Butler ◽  
Mark Smith ◽  
Wayne Jones ◽  
Carol E Adair ◽  
Simone Vigod ◽  
...  
Keyword(s):  
Information Systems ◽  
Administrative Data ◽  
Research Process ◽  
Health Data ◽  
Provincial Government ◽  
Data Systems ◽  
Administrative Health Data ◽  
Healthcare Data ◽  
Research Activities

BackgroundCanada has a publicly-funded universal healthcare system with information systems managed by 13 different provinces and territories. This context creates inconsistencies in data collection and challenges for research or surveillance conducted at the national or multi-jurisdictional level. ObjectiveUsing a recent Canadian research project as a case study, we document the strengths and challenges of using administrative health data in a multi-jurisdictional context. We discuss the implications of using different health information systems and the solutions we adopted to deal with variations. Our goal is to contribute to better understanding of these challenges and the development of a more integrated and harmonized approach to conducting multi-jurisdictional research using administrative data. Context and ModelUsing data from five separate provincial healthcare data systems, we sought to create and report on a set of provincially-comparable mental health and addiction services performance indicators. In this paper, we document the research process, challenges, and solutions. Finally, we conclude by making recommendations for investment in national infrastructure that could help cut costs, broaden scope, and increase use of administrative health data that exists in Canada. ConclusionCanada has an incredible wealth of administrative data that resides in 13 territorial and provincial government systems. Navigating access and improving comparability across these systems has been an ongoing challenge for the past 20 years, but progress is being made. We believe that with some investment, a more harmonized and integrated information network could be developed that supports a broad range of surveillance and research activities with strong policy and program implications.

scholarly journals Administrative Burden Reduction Policies in Slovenia Revisited

2017 ◽  
Vol 11 (1) ◽  
pp. 28-40
Author(s):  
Luka Kalaš ◽  
Irena Bačlija Brajnik
Keyword(s):  
The Other ◽  
Regulatory Environment ◽  
Economic Activities ◽  
Administrative Burden ◽  
Specific Focus

AbstractThis article explores non-stimulating regulatory environment that can effect economic activities. Specific focus is on the so-called administrative burdens as it has been established that administrative burden reduction is an internationally used policy with questionable outcomes. This is tested on a case study of Slovenian administrative burden reduction policy concluding that administrative burdens are mostly considered unnecessary but to some extent (34.5%) also necessary, however, as a subject of possible optimisation. The most burdensome is time spent in order to comply with regulation, following successiveness of the burdens (one following the other). Additionally,based on the case study policy, we can conclude that businesses are not well informed about government administrative burden reduction policies.

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