scholarly journals Challenges and Principles to guide the linkage of government administrative data: Experiences from the Tassie Kids project

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Joel Stafford
Keyword(s):  
Administrative Data ◽  
Data Linkage ◽  
Design Principles ◽  
Data Sets ◽  
Personal Privacy ◽  
Policy And Practice ◽  
Key Policy ◽  
Linked Administrative Data ◽  
Data Design

Background with rationale An overarching concern influencing models of data linkage for public good is the maintenance of personal privacy. This concern is at times so strong that it prevents or slows the progress of achieving worthwhile linked administrative datasets across allied government departments, and even between distinct units within a single department. Where linkage has succeeded it has generally produced data sets that, by design, are difficult or impossible to re-identify, therefore meeting the requirement to guard privacy at the costs of the resulting data’s value to government decision makers. Main Aim The main aim of this paper is to convey criteria to inform data linkage policy and practice in government that maintains a central role for privacy, but which can better deliver on the promise of high value data for policy. Methods/Approach This paper is informed by the Tassie Kids project, a longitudinal linked administrative data study using an embedded researcher model underway in Tasmania, Australia. Among other outcomes, the project was designed to assist allied government agencies to identify key policy leverage points across multiple services. Using the Tassie Kids project as a case study this paper asks why allied departments don’t routinely link administrative data. Several important linked administrative data design principles are drawn from discussion of this question. Results The paper explains the practice implications of these design principles relevant to policy analysis and information management units in government. Conclusion The paper concludes with the suggestion that high value linked administrative data is data that maximises its representation of the dynamic mechanisms that affect the outcomes desired by government, while simultaneously minimising the data’s distance from its point of origin.

scholarly journals Evolving population data linkage services to transform large-scale biobanking services

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Katie Irvine ◽  
Vivienna Ong ◽  
Simon Cooper ◽  
Sarah Thackway
Keyword(s):  
Longitudinal Data ◽  
Health System ◽  
Administrative Data ◽  
Large Scale ◽  
Data Linkage ◽  
Service Providers ◽  
Population Data ◽  
Research Infrastructure ◽  
Fast Tracking ◽  
Linked Administrative Data

IntroductionMany population data linkage centres have been established to provide a mechanism for making linked administrative data available to approved third parties within robust governance frameworks. While current models support a wide variety of research, modifications are required for linked administrative data to better position biobanking research infrastructure. Objectives and ApproachWe have sought to reconfigure population data linkage services to enhance the value of a newly established state-of-the art population and disease biobank embedded within a state based pathology network, equipped with robotic technology, with the capacity to store and process more than 3 million samples from participants consenting to data linkage and future unspecified research. ResultsThree data service streams have been developed: longitudinal data linkage, cohort management and targeted recruitment. Traditional infrastructure for population data linkage will support the longitudinal data linkage stream, making data and biospecimens available for research, without direct patient identifiers. Technical and governance changes are necessary to enable the rapid release of contemporaneous patient and health system data for cohort management and recruitment purposes. The cohort management stream seeks to significantly reduce the manual follow-up of administrative data. The newly developed targeted recruitment service will leverage on the jurisdictional data holdings and structure of the health system and pathology network, to identify optimal sites and service providers for patient recruitment at scale, in an expedited manner. Conclusion/ImplicationsModest changes to population data infrastructure have significant potential to enhance biobank research infrastructure. By fast tracking biospecimen accrual for diseases of population subgroups of strategic importance, this new service is intended to promote biobank viability, accelerate the pace of clinical trials recruitment and improve patient access to trials.

Using cross-sectoral data linkage to understand the health of people experiencing multiple exclusion

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
E Tweed ◽  
A Leyland ◽  
D Morrison ◽  
S V Katikireddi
Keyword(s):  
Administrative Data ◽  
Data Linkage ◽  
Support Service ◽  
Service Planning ◽  
Policy And Practice ◽  
Opioid Substitution Therapy ◽  
Case Register ◽  
Mortality And Morbidity ◽  
Individual Level ◽  
Future Policy

Abstract Background People affected by the intersection of homelessness, drug use, and/or serious mental illness have high rates of mortality and morbidity. However, they are often missed from routine information sources on population health, such as surveys and censuses. In many countries, administrative data are available which could help address this knowledge gap. We created a novel virtual cohort using cross-sectoral data linkage in order to inform policy and practice responses to these co-occurring issues. Methods Individual-level data from local authority homelessness services (HL), opioid substitution therapy dispensing (OST), and a psychosis case register (PSY) in Glasgow, Scotland between 2011-15 were confidentially linked to National Health Service records, using a mix of probabilistic and deterministic linkage. A de-identified dataset was made available to researchers through a secure analysis platform. Demographic characteristics associated with different exposure combinations were analysed using descriptive statistics. Results Linkage created a cohort of 24,767 unique individuals with any one of the experiences of interest between 2011-15. Preliminary results suggest that 89.2% of the cohort had one experience; 10.6% two; and 0.2% all three. The most common combination was HL & OST (n = 2,150; 8.7%), with other combinations much less frequent (HL & PSY, n = 279, 1.1%; OST & PSY, n = 188, 0.8%; HL & OST & PSY, n = 51, 0.2%). The odds of male gender increased with number of exposures (2 exposures, OR 2.1, 95% CI 1.9-2.2; 3 exposures, OR 4.1, 95% CI 2.3-7.2), but there was little difference in age. Work is ongoing to incorporate into the cohort additional datasets on criminal justice involvement. Lessons Administrative data linkage is a feasible approach to understanding the health of people affected by multiple exclusionary processes, but requires robust and timely governance. Our initiative can support service planning and evaluation of future policy or service changes. Key messages We describe the creation and characteristics of a novel virtual cohort of people affected by multiple exclusionary processes, using record linkage of administrative datasets. Cross-sectoral linkage has international potential for enhancing public health intelligence, especially for population groups who may be missed from surveys and censuses.

scholarly journals Measuring Dementia Incidence Within A Cohort Of 267,153 Older Australians Using Routinely Collected Linked Administrative Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Heidi J Welberry ◽  
Henry Brodaty ◽  
Benjumin Hsu ◽  
Sebastiano Barbieri ◽  
Louisa R Jorm
Keyword(s):  
Administrative Data ◽  
Observational Studies ◽  
Data Linkage ◽  
Aged Care ◽  
Incidence Rates ◽  
Residential Aged Care ◽  
Care Needs ◽  
Dementia Incidence ◽  
Linked Administrative Data ◽  
Administrative Datasets

IntroductionThere is no gold standard method for monitoring dementia incidence in Australia. Routinely collected linked administrative data are increasingly being used to monitor endpoints in observational studies and clinical trials and could benefit dementia research. Objectives and ApproachThis study examines dementia incidence within different Australian administrative datasets and how characteristics vary across datasets for groups detected as having dementia. This was an observational data linkage study based on a prospective cohort of 267,153 people in New South Wales, Australia from the 45 and Up Study. Participants completed a survey in 2006-2009 and dementia was identified using linked pharmaceutical claims (provided by Services Australia), hospitalisations, assessments of aged care eligibility, care needs at entry to residential aged care and death certificates. Data linkage was undertaken by the Centre for Health Record Linkage (CHeReL) and the Australian Institute of Health and Welfare. Age-specific and age-standardised incidence rates, incidence rate ratios and survival from first dementia diagnosis were calculated. ResultsAge-standardised dementia incidence was 16.9 cases per 1000 person years (PY) for people aged 65 years and over. Estimates for those aged 80-89 years were closest to published incidence rates (91% of rates for high-income countries). Relationships with dementia incidence were inconsistent across datasets for characteristics including sex, relative socio-economic disadvantage, support network size, marital status, functional limitations and diabetes. Median survival from first pharmaceutical claim for an anti-dementia medicine was 3.7 years compared to 3.0 years from first aged care eligibility assessment, 2.0 years from a dementia-related hospitalisation and 1.8 years from first residential aged care needs assessment. Conclusion / ImplicationsPeople identified with dementia in different administrative datasets have different characteristics, reflecting the factors that drive interaction with specific services. Bias may be introduced if single data sources are used to identify dementia as an outcome in observational studies.

scholarly journals Deriving household composition using population-scale electronic health record data—A reproducible methodology

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248195
Author(s):  
Rhodri D. Johnson ◽  
Lucy J. Griffiths ◽  
Joe P. Hollinghurst ◽  
Ashley Akbari ◽  
Alexandra Lee ◽  
...  
Keyword(s):  
Administrative Data ◽  
Data Linkage ◽  
Population Level ◽  
Household Composition ◽  
Electronic Health Record Data ◽  
Household Level ◽  
Relative Age ◽  
Level Data ◽  
Address Data ◽  
Linked Administrative Data

Background Physical housing and household composition have an important role in the lives of individuals and drive health and social outcomes, and inequalities. Most methods to understand housing composition are based on survey or census data, and there is currently no reproducible methodology for creating population-level household composition measures using linked administrative data. Methods Using existing, and more recent enhancements to the address-data linkage methods in the SAIL Databank using Residential Anonymised Linking Fields we linked individuals to properties using the anonymised Welsh Demographic Service data in the SAIL Databank. We defined households, household size, and household composition measures based on adult to child relationships, and age differences between residents to create relative age measures. Results Two relative age-based algorithms were developed and returned similar results when applied to population and household-level data, describing household composition for 3.1 million individuals within 1.2 million households in Wales. Developed methods describe binary, and count level generational household composition measures. Conclusions Improved residential anonymised linkage field methods in SAIL have led to improved property-level data linkage, allowing the design and application of household composition measures that assign individuals to shared residences and allow the description of household composition across Wales. The reproducible methods create longitudinal, household-level composition measures at a population-level using linked administrative data. Such measures are important to help understand more detail about an individual’s home and area environment and how that may affect the health and wellbeing of the individual, other residents, and potentially into the wider community.

scholarly journals Segment-Based Approach for Assessing Hazard Risk of Coastal Highways in Hawai‘i

2019 ◽  
Vol 2673 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Harrison Togia ◽  
Oceana P. Francis ◽  
Karl Kim ◽  
Guohui Zhang
Keyword(s):  
Qualitative Method ◽  
Data Sets ◽  
Regional Environment ◽  
The Road ◽  
Hazard Exposure ◽  
Multiple Indicators ◽  
System Data ◽  
Rural Highway ◽  
Geographic Information System Data

Hazards to roadways and travelers can be drastically different because hazards are largely dependent on the regional environment and climate. This paper describes the development of a qualitative method for assessing infrastructure importance and hazard exposure for rural highway segments in Hawai‘i under different conditions. Multiple indicators of roadway importance are considered, including traffic volume, population served, accessibility, connectivity, reliability, land use, and roadway connection to critical infrastructures, such as hospitals and police stations. The method of evaluating roadway hazards and importance can be tailored to fit different regional hazard scenarios. It assimilates data from diverse sources to estimate risks of disruption. A case study for Highway HI83 in Hawai‘i, which is exposed to multiple hazards, is conducted. Weakening of the road by coastal erosion, inundation from sea level rise, and rockfall hazards require adaptation solutions. By analyzing the risk of disruption to highway segments, adaptation approaches can be prioritized. Using readily available geographic information system data sets for the exposure and impacts of potential hazards, this method could be adapted not only for emergency management but also for planning, design, and engineering of resilient highways.

The political economy of and practical policies for inclusive growth—a case study of Scotland

2020 ◽  
Author(s):  
Donald Houston ◽  
Georgiana Varna ◽  
Iain Docherty
Keyword(s):  
Political Economy ◽  
Policy Development ◽  
Regional Governance ◽  
Community Empowerment ◽  
Inclusive Growth ◽  
Key Policy ◽  
Inclusive Governance ◽  
The Uk ◽  
Civic Institutions

Abstract The concept of ‘inclusive growth’ (IG) is discussed in a political economy framework. The article reports comparative analysis of economic and planning policy documents from Scotland, England and the UK and findings from expert workshops held in Scotland, which identify four key policy areas for ‘inclusive growth’: skills, transport and housing for young people; city-regional governance; childcare; and place-making. These policies share with the ‘Foundational Economy’ an emphasis on everyday infrastructure and services, but add an emphasis on inter-generational justice and stress the importance of community empowerment as much as re-municipalisation. Factors enabling IG policy development include: the necessary political powers; a unifying political discourse and civic institutions; and inclusive governance and participatory democracy.

scholarly journals The Problem of Success and Failure in Public-private Innovation Partnerships

2021 ◽  
pp. 1-21
Author(s):  
JONATHAN HAMMOND ◽  
SIMON BAILEY ◽  
OZ GORE ◽  
KATH CHECKLAND ◽  
SARAH DARLEY ◽  
...  
Keyword(s):  
Public Sector ◽  
Health Service ◽  
Policy Maker ◽  
Policy And Practice ◽  
Policy Success ◽  
Political Effects ◽  
Innovation Project ◽  
Multi Level ◽  
Test Beds

Abstract Public-Private Innovation Partnerships (PPIPs) are increasingly used as a tool for addressing ‘wicked’ public sector challenges. ‘Innovation’ is, however, frequently treated as a ‘magic’ concept: used unreflexively, taken to be axiomatically ‘good’, and left undefined within policy programmes. Using McConnell’s framework of policy success and failure and a case study of a multi-level PPIP in the English health service (NHS Test Beds), this paper critically explores the implications of the mobilisation of innovation in PPIP policy and practice. We highlight how the interplay between levels (macro/micro and policy maker/recipient) can shape both emerging policies and their prospects for success or failure. The paper contributes to an understanding of PPIP success and failure by extending McConnell’s framework to explore inter-level effects between policy and innovation project, and demonstrating how the success of PPIP policy cannot be understood without recognising the particular political effects of ‘innovation’ on formulation and implementation.

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