How population-level data linkage might impact on dental research

2012 ◽  
Vol 40 ◽  
pp. 90-94 ◽  
Author(s):  
Linda Slack-Smith
Keyword(s):  
Data Linkage ◽  
Population Level ◽  
Dental Research ◽  
Level Data

scholarly journals 517Challenges in data linkage – experiences from an upper gastrointestinal cancer data linkage study

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Nadia Khan ◽  
Liane Ioannou ◽  
Charles Pilgrim ◽  
Arul Earnest ◽  
Ashika Maharaj ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Service ◽  
Data Linkage ◽  
Population Level ◽  
Data Access ◽  
Health Service Utilisation ◽  
Service Utilisation ◽  
Financial Barriers ◽  
Level Data ◽  
Upper Gastrointestinal

Abstract Background Linked, population-level data is valuable for mapping patterns of care and evaluating health service utilisation, particularly in difficult-to-reach populations. Upper gastrointestinal (UGI) cancers have a dismal prognosis, creating difficulties engaging patients in research. The utility of a linked dataset in this population is of high value. Methods Key objectives included identifying the operational and feasibility issues associated with linking Australian state-based administrative and registry data for understanding health service utilisation in UGI cancers. Datasets pertained to hospital admissions, radiotherapy, community health, primary care, palliative care, Medicare and Pharmaceutical Benefits Schedule’s and UGI cancers. Results From a logistical perspective, data access request approval processes varied, with some requiring consent to be sought from individual services contributing data. The availability of unique person-level identifying information varied widely. Additionally, the time period of data capture differed between and within datasets, limiting the quality of the linked data. Significant costs were associated with linking with primary care and Medicare and Pharmaceutical Benefits Schedule’s. Federal dataset linkage required at least a one-year waiting period. Conclusions Whilst in theory data linkage is a powerful mechanism for obtaining population-level data, in reality, there are many logistical and financial barriers to linking multiple datasets. Consequently, critical data, which has the potential to inform policy and improve patient outcomes, cannot be procured. Key messages Logistical and financial challenges are associated with linking administrative and registry datasets for research, limiting the potential of data linkage.

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 Deriving household composition using population-scale Electronic Health Record data – a reproducible methodology

2020 ◽  
Author(s):  
Rhodri David Johnson ◽  
Lucy J. Griffiths ◽  
Joe Hollinghurst ◽  
Ashley Akbari ◽  
Alexandra Lee ◽  
...  
Keyword(s):  
Census Data ◽  
Data Linkage ◽  
Population Level ◽  
Household Composition ◽  
Electronic Health Record Data ◽  
Field Methods ◽  
Household Level ◽  
Relative Age ◽  
Level Data ◽  
Address Data

BackgroundPhysical 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.MethodsUsing 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.ResultsTwo 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.ConclusionsImproved 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 EPS5.5 How does having cystic fibrosis impact on birth weight? A population level data linkage study in Wales

2017 ◽  
Vol 16 ◽  
pp. S48
Author(s):  
D.K. Schlüter ◽  
R. Griffiths ◽  
A. Akbari ◽  
M. Heaven ◽  
P.J. Diggle ◽  
...  
Keyword(s):  
Cystic Fibrosis ◽  
Birth Weight ◽  
Data Linkage ◽  
Population Level ◽  
Linkage Study ◽  
Level Data

scholarly journals Population-Level Prevalence, Bother, and Treatment Behavior for Urinary Incontinence in an Eastern European Country: Findings from the LUTS POLAND Study

2021 ◽  
Vol 10 (11) ◽  
pp. 2314
Author(s):  
Mikolaj Przydacz ◽  
Marcin Chlosta ◽  
Piotr Chlosta
Keyword(s):  
Quality Of Life ◽  
Urinary Incontinence ◽  
Rural Areas ◽  
Eastern European Country ◽  
Population Level ◽  
Eastern European ◽  
Level Data ◽  
Urban And Rural Areas ◽  
Eastern European Countries

Objectives: Population-level data are lacking for urinary incontinence (UI) in Central and Eastern European countries. Therefore, the objective of this study was to estimate the prevalence, bother, and behavior regarding treatment for UI in a population-representative group of Polish adults aged ≥ 40 years. Methods: Data for this epidemiological study were derived from the larger LUTS POLAND project, in which a group of adults that typified the Polish population were surveyed, by telephone, about lower urinary tract symptoms. Respondents were classified by age, sex, and place of residence. UI was assessed with a standard protocol and established International Continence Society definitions. Results: The LUTS POLAND survey included 6005 completed interviews. The prevalence of UI was 14.6–25.4%; women reported a greater occurrence compared with men (p < 0.001). For both sexes, UI prevalence increased with age. Stress UI was the most common type of UI in women, and urgency UI was the most prevalent in men. We did not find a difference in prevalence between urban and rural areas. Individuals were greatly bothered by UI. For women, mixed UI was the most bothersome, whereas for men, leak for no reason was most annoying. More than half of respondents (51.4–62.3%) who reported UI expressed anxiety about the effect of UI on their quality of life. Nevertheless, only around one third (29.2–38.1%) of respondents with UI sought treatment, most of whom received treatment. Persons from urban and rural areas did not differ in the degrees of treatment seeking and treatment receiving. Conclusion: Urinary incontinence was prevalent and greatly bothersome among Polish adults aged ≥ 40 years. Consequently, UI had detrimental effects on quality of life. Nonetheless, most affected persons did not seek treatment. Therefore, we need to increase population awareness in Poland about UI and available treatment methods, and we need to ensure adequate allocation of government and healthcare system resources.

scholarly journals The domestication of Cucurbita argyrosperma as revealed by the genome of its wild relative

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Josué Barrera-Redondo ◽  
Guillermo Sánchez-de la Vega ◽  
Jonás A. Aguirre-Liguori ◽  
Gabriela Castellanos-Morales ◽  
Yocelyn T. Gutiérrez-Guerrero ◽  
...  
Keyword(s):  
Defense Mechanisms ◽  
Population Level ◽  
Growth Hormones ◽  
Comparative Genomic ◽  
Structural Variants ◽  
Closely Related Species ◽  
Level Data ◽  
Genomic Analyses ◽  
Genotype By Sequencing ◽  
Regulation Of Growth

AbstractDespite their economic importance and well-characterized domestication syndrome, the genomic impact of domestication and the identification of variants underlying the domestication traits in Cucurbita species (pumpkins and squashes) is currently lacking. Cucurbita argyrosperma, also known as cushaw pumpkin or silver-seed gourd, is a Mexican crop consumed primarily for its seeds rather than fruit flesh. This makes it a good model to study Cucurbita domestication, as seeds were an essential component of early Mesoamerican diet and likely the first targets of human-guided selection in pumpkins and squashes. We obtained population-level data using tunable Genotype by Sequencing libraries for 192 individuals of the wild and domesticated subspecies of C. argyrosperma across Mexico. We also assembled the first high-quality wild Cucurbita genome. Comparative genomic analyses revealed several structural variants and presence/absence of genes related to domestication. Our results indicate a monophyletic origin of this domesticated crop in the lowlands of Jalisco. We found evidence of gene flow between the domesticated and wild subspecies, which likely alleviated the effects of the domestication bottleneck. We uncovered candidate domestication genes that are involved in the regulation of growth hormones, plant defense mechanisms, seed development, and germination. The presence of shared selected alleles with the closely related species Cucurbita moschata suggests domestication-related introgression between both taxa.

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