scholarly journals Data Linkage Methods in Manitoba

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Ken Turner ◽  
Randy Walld ◽  
Shelley Derksen
Keyword(s):  
Data Linkage ◽  
Population Based ◽  
Data Sources ◽  
Data Repository ◽  
Linkage Methods ◽  
The Individual ◽  
Privacy And Confidentiality ◽  
Manual Review ◽  
Over Time ◽  
Outcome Metrics

IntroductionAt the Manitoba Centre for Health Policy (MCHP), we have been performing data linkage for over 25 years. Over time, the Manitoba Population Research Data Repository (MPRDR) has expanded to over 80 datasets. Data linkage methods are key to bringing all this data together for population-based research. Objectives and ApproachThe presentation will include a detailed description of the individual steps involved in the data linkage process and provide information about the methods developed and knowledge gained over time at MCHP. We will present different scenarios linking health, education, social and justice data and the choices that are made prior to and during data linkage. The data linkage process and linkage methods, including data validation techniques, will be illustrated with examples from our work. ResultsThe presentation will describe the different types of data we have in the MPRDR and illustrate how the data are processed in a de-identified manner so that privacy and confidentiality are maintained. The presentation will provide details on the data linkage methods used, dependent on the type of data sources being linked. This involves identifying and describing a 5-step data linkage process, including: pre-processing (gaining knowledge about the data and cleaning/standardization techniques); searching for and selecting the appropriate linkage variables; applying different linkage techniques (e.g.: deterministic, probabilistic, “fuzzy matching” and manual review) to the data, “rules” for deciding when data linkage should occur, and reporting and Interpreting linkage outcome metrics and quality. Conclusion/ImplicationsOur ability to link different data sources provides the capacity to study questions and complex issues related to health, social, education and justice from a population perspective. The techniques and methods described in this presentation should be applicable to other organizations linking administrative data.

scholarly journals Patient-related healthcare disparities in the quality of acute hip fracture care: a 10-year nationwide population-based cohort study

BMJ Open ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. e051424
Author(s):  
Pia Kjær Kristensen ◽  
Anne Mette Falstie-Jensen ◽  
Morten Madsen ◽  
Søren Paaske Johnsen
Keyword(s):  
Hip Fracture ◽  
Quality Care ◽  
Population Based ◽  
Nutritional Risk ◽  
High Quality ◽  
Process Measures ◽  
Fracture Care ◽  
The Individual ◽  
Over Time

ObjectivesTo characterise and quantify possible patient-related disparities in hip fracture care including temporal changes.DesignPopulation-based cohort study.SettingAll Danish hospitals treating patients with hip fracture.Participants60 275 hip fracture patients from 2007 to 2016.InterventionsQuality of care was defined as fulfilment of eligible care process measures for the individual patient recommended by an expert panel. Using yearly logistic regression models, we predicted the individual patient’s probability for receiving high-quality care, resulting in a distribution of adjusted probabilities based on age, sex, comorbidity, fracture type, education, family mean income, migration status, cohabitation status, employment status, nursing home residence and type of municipality. Based on the distribution, we identified best-off patients (ie, the 10% of patients with the highest probability) and worst-off patients (ie, the 10% of patients with the lowest probability). We evaluated disparities in quality of care by measuring the distance in fulfilment of outcomes between the best-off and worst-off patients.Primary and secondary outcome measuresThe primary outcome was fulfilment of all-or-none, defined as receiving all relevant process measures. Secondary outcomes were fulfilment of the individual process measures including preoperative optimisation, early surgery, early mobilisation, assessment of pain, basic mobility, nutritional risk and need for antiosteoporotic medication, fall prevention and a postdischarge rehabilitation programme.ResultsThe proportion of patients receiving high-quality care varied over time for both best-off and worst-off patients. The absolute difference in percentage points between the best-off and worst-off patients for receiving all-or-none of the eligible process measures was 12 (95% CI 6 to 18) in 2007 and 23 (95% CI 19 to 28) in 2016. Disparities were consistent for a range of care processes, including assessment of pain, mobilisation within 24 hours, assessment of need for antiosteoporotic medication and nutritional risk assessment.ConclusionsDisparity of care between best-off and worst-off patients remained substantial over time.

scholarly journals Green-Blue Spaces and Mental Health: A Longitudinal Data Linkage Study

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Daniel A Thompson ◽  
Mark Nieuwenhuijsen ◽  
James White ◽  
Rebecca Lovell ◽  
Mathew White ◽  
...  
Keyword(s):  
Mental Health ◽  
Administrative Data ◽  
Data Linkage ◽  
Well Being ◽  
Data Sources ◽  
Household Level ◽  
Individual Level ◽  
The Impact ◽  
Over Time ◽  
Sector Data

IntroductionA growing evidence base indicates health benefits are associated with access to green-blue spaces (GBS), such as beaches and parks. However, few studies have examined associations with changes in access to GBS over time. Objectives and ApproachWe have linked cross-sector data collected within Wales, United Kingdom, quarterly from 2008 to 2019, to examine the impact of GBS access on individual-level well-being and common mental health disorders (CMD). We created a longitudinal dataset of GBS access metrics, derived from satellite and administrative data sources, for 1.4 million homes in Wales. These household-level metrics were linked to individuals using the Welsh Demographic Service Dataset within the Secure Anonymised Information Linkage (SAIL) Databank. Linkage to Welsh Longitudinal General Practice data within SAIL enabled us to identify individual-level CMD over time. We also linked individual-level self-reported GBS use and well-being data from the National Survey for Wales (NSW) to routine data for cross-sectional survey participants. ResultsWe created a longitudinal cohort panel capturing all 2.84 million adults aged 16+ living in Wales between 2008 and 2019 and with a general practitioner (GP) registration. Individual-level health data and household-level environmental metrics were linked for each quarter an individual is in the study. Household addresses were linked to 97% of the cohort, creating 110+ million rows of anonymously linked cross-sector data. The cohort provides an average follow-up period of 8 years, during which 565,168 (20%) adults received at least one CMD diagnosis or symptom. Conclusion / ImplicationsThis example of multi-sectoral data linkage across multiple environmental and administrative data sources has created a rich data source, which we will use toquantify the impact of changes in GBS access on individual–level CMD and well-being. This evidence will inform policy in the areas of health, planning and the environment.

scholarly journals Good Practice Data Linkage (GPD): A Translation of the German Version

2020 ◽  
Vol 17 (21) ◽  
pp. 7852
Author(s):  
Stefanie March ◽  
Silke Andrich ◽  
Johannes Drepper ◽  
Dirk Horenkamp-Sonntag ◽  
Andrea Icks ◽  
...  
Keyword(s):  
Data Privacy ◽  
Data Linkage ◽  
Good Practice ◽  
Data Sources ◽  
Data Infrastructure ◽  
Eu Member States ◽  
Use Of Data ◽  
Linkage Methods ◽  
Guidelines And Recommendations ◽  
Methodological Guidelines

The data linkage of different data sources for research purposes is being increasingly used in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to provide methodological guidelines and recommendations for research projects that have been consented to across different German research societies. Another aim is to endow readers with a checklist for the critical appraisal of research proposals and articles. This Good Practice Data Linkage (GPD) was already published in German in 2019, but the aspects mentioned can easily be transferred to an international context, especially for other European Union (EU) member states. Therefore, it is now also published in English. Since 2016, an expert panel of members of different German scientific societies have worked together and developed seven guidelines with a total of 27 practical recommendations. These recommendations include (1) the research objectives, research questions, data sources, and resources; (2) the data infrastructure and data flow; (3) data protection; (4) ethics; (5) the key variables and linkage methods; (6) data validation/quality assurance; and (7) the long-term use of data for questions still to be determined. The authors provide a rationale for each recommendation. Future revisions will include new developments in science and updates of data privacy regulations.

The SRC Panel Data and Mass Political Attitudes

1979 ◽  
Vol 9 (1) ◽  
pp. 89-114 ◽  
Author(s):  
Robert S. Erikson
Keyword(s):  
Public Opinion ◽  
Panel Data ◽  
Survey Research ◽  
Panel Study ◽  
Data Sources ◽  
Time Interval ◽  
Policy Issues ◽  
The Individual ◽  
Survey Responses ◽  
Over Time

One of the richest data sources for the study of public opinion is the Survey Research Center's panel study conducted in the late 1950s. Because the SRC interviewed its national panel of Americans three times over a four-year period, the SRC panel data allows the analysis of changes in survey responses over time. The most remarkable discovery from the SRC panel was that panelists changed their reported opinions on policy issues with considerable frequency when asked the same policy questions in different years. Moreover, the amount of observed change in the individual responses varied little with the time interval between responses. That is, the correlations between responses to the same issue item in 1956 and 1958 or in 1958 and 1960 (two years apart) were almost as low as the correlations to the same issue item in 1956 and 1960 (four years apart).

scholarly journals Information Management at a Health Services Research Organization in Toronto, Ontario, Canada: Moving from Identifiable Data to Coded Data

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Lisa Thurairasu ◽  
Nelson Chong
Keyword(s):  
Health Services Research ◽  
Health Services ◽  
Information Management ◽  
Data Linkage ◽  
Research Organization ◽  
Data Sources ◽  
Research Quality ◽  
Services Research ◽  
Probabilistic Data ◽  
Privacy And Confidentiality

ABSTRACTObjectivesA health services research organization in Toronto, Ontario, Canada conducts population-based research to improve the health of Canadians in seven main areas: (1) cancer, (2) cardiovascular disease, (3) chronic disease and pharmacology, (4) health system planning and evaluation, (5) kidney, dialysis and transplantation, (6) mental health and addictions, and (7) primary care and population health. The Information Management (IM) team within the Data Quality and Information Management (DQIM) department at our non-profit organization is an integral component for upholding privacy and confidentiality policies and procedures while facilitating quality research using different types of data such as health administrative, third-party, primary data collection, and electronic medical records (EMR). MethodsThe IM team is responsible for receiving data, encoding direct personal identifiers, screening for unnecessary identifiers, performing probabilistic data linkage when necessary, importing the data to the Research Analytics Environment (a client/server Linux-based system), and destroying the data according to the terms stipulated in the executed data sharing agreement. The purpose of the presentation is to detail the above steps of processing data to protect individuals’ identities yet preserve the usefulness of carrying out research. The presentation will include aspects from importing data into SAS to storage and encoding of personal identifiers to probabilistic data linkage, which involves maximizing linkage with other datasets at the organization. Linking data at the organization involves the encryption or encoding of health card numbers to “Key Numbers.” ResultsThe processing practices used at the organization comply with Canadian privacy laws such as the Personal Health Information Protection Act (PHIPA) as well as organizational policies and Research Ethics Board approvals. The approaches used to conceal individual identities yet allow linkage to various data sources can be modelled by other health agencies, ministries, and non-health related organizations that work with sensitive data but face challenges in maintaining both privacy and research quality. Our organization strives to make processing as efficient as possible and create maximum linkability to the various data sources in house while upholding privacy and confidentiality.

Overview of Data Linkage Methods for Integrating Separate Health Data Sources

2019 ◽  
pp. 217-238
Author(s):  
Ana Kostadinovska ◽  
Muhammad Asim ◽  
Daniel Pletea ◽  
Steffen Pauws
Keyword(s):  
Data Linkage ◽  
Health Data ◽  
Data Sources ◽  
Linkage Methods

On the Individual

1999 ◽  
Vol 4 (4) ◽  
pp. 205-218 ◽  
Author(s):  
David Magnusson
Keyword(s):  
School Psychologist ◽  
Real Life ◽  
Psychological Research ◽  
Developmental Research ◽  
Future Directions ◽  
The 1950S ◽  
The Individual ◽  
Over Time

A description of two cases from my time as a school psychologist in the middle of the 1950s forms the background to the following question: Has anything important happened since then in psychological research to help us to a better understanding of how and why individuals think, feel, act, and react as they do in real life and how they develop over time? The studies serve as a background for some general propositions about the nature of the phenomena that concerns us in developmental research, for a summary description of the developments in psychological research over the last 40 years as I see them, and for some suggestions about future directions.

The formation of information security culture of college students

2019 ◽  
pp. 29-36
Author(s):  
I. D. Rudinskiy ◽  
D. Ya. Okolot
Keyword(s):  
College Students ◽  
Information Security ◽  
Information Society ◽  
Technical Aspect ◽  
Data Sources ◽  
Structural Components ◽  
Security Culture ◽  
The Individual ◽  
Information Security Culture ◽  
Ability And Willingness

The article discusses aspects of the formation of information security culture of college students. The relevance of the work is due to the increasing threats to the information security of the individual and society due to the rapid increase in the number of information services used. Based on this, one of the important problems of the development of the information society is the formation of a culture of information security of the individual as part of the general culture in its socio-technical aspect and as part of the professional culture of the individual. The study revealed the structural components of the phenomenon of information security culture, identified the reasons for the interest in the target group of students. It justifies the need for future mid-level specialists to form an additional universal competency that ensures the individual’s ability and willingness to recognize the need for certain information, to identify and evaluate the reliability and reliability of data sources. As a result of the study, recommendations were formulated on the basis of which a culture of information security for college students can be formed and developed and a decomposition of this process into enlarged stages is proposed. The proposals on the list of disciplines are formulated, within the framework of the study of which a culture of information security can develop. The authors believe that the recommendations developed will help future mid-level specialists to master the universal competency, consisting in the ability and willingness to recognize the need for certain information, to identify and evaluate the reliability and reliability of data sources, as well as to correctly access the necessary information and its further legitimate use, which ultimately forms a culture of information security.

Geographical aspects of the diffusion of passive houses

2013 ◽  
Vol 4 (2) ◽  
pp. 151-156 ◽  
Author(s):  
G. Kozma ◽  
E. Molnár ◽  
K. Czimre ◽  
J. Pénzes
Keyword(s):  
Energy Consumption ◽  
Energy Resources ◽  
Substantial Part ◽  
Renewable Energy Resources ◽  
Passive House ◽  
The Earth ◽  
Passive Houses ◽  
The Individual ◽  
Geographical Locations ◽  
Over Time

Abstract In our days, energy issues belong to the most important problems facing the Earth and the solution may be expected partly from decreasing the amount of the energy used and partly from the increased utilisation of renewable energy resources. A substantial part of energy consumption is related to buildings and includes, inter alia, the use for cooling/heating, lighting and cooking purposes. In the view of the above, special attention has been paid to minimising the energy consumption of buildings since the late 1980s. Within the framework of that, the passive house was created, a building in which the thermal comfort can be achieved solely by postheating or postcooling of the fresh air mass without a need for recirculated air. The aim of the paper is to study the changes in the construction of passive houses over time. In addition, the differences between the geographical locations and the observable peculiarities with regard to the individual building types are also presented.

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