Results 21 to 30 of about 22,706,981 (364)

How Administrative Data Collection and Analysis Can Better Reflect Racial and Ethnic Identities

open access: yes, 2020
Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges.
Samantha Viano, Dominique J. Baker
semanticscholar   +1 more source

Data Resource: population level family justice administrative data with opportunities for data linkage

open access: yesInternational Journal of Population Data Science, 2020
Introduction Although there has been considerable progress in the use of administrative data for applied health research, the family justice field lags behind.
Rhodri D Johnson   +13 more
semanticscholar   +1 more source

Coronavirus vaccination coverage and timeliness among people experiencing homelessness in Wales, UK: A population-level analysis of linked healthcare and substance use services data.

open access: yesInternational Journal of Population Data Science, 2022
Objectives People experiencing homelessness (PEH) have higher incidence of underlying health conditions that increase the risk of COVID-19 related complications.
Ian Thomas
doaj   +1 more source

Validity of Race and Ethnicity Codes in Medicare Administrative Data Compared With Gold-standard Self-reported Race Collected During Routine Home Health Care Visits

open access: yesMedical Care, 2019
Background: Misclassification of Medicare beneficiaries’ race/ethnicity in administrative data sources is frequently overlooked and a limitation in health disparities research.
O. Jarrín   +4 more
semanticscholar   +1 more source

Combining deterministic and probabilistic matching to reduce data linkage errors in hospital administrative data

open access: yesInternational Journal of Population Data Science, 2017
Objectives Data linkage algorithms are used to link together multiple episodes of care belonging to the same patient. For example, the HESID algorithm is used to generate Hospital Episode Statistics (HES) in England.
Gareth Hagger-Johnson   +6 more
doaj   +1 more source

A Comparison of The Health Impacts of Individual Level and Area Based Welsh Government Fuel Poverty Schemes

open access: yesInternational Journal of Population Data Science, 2020
Introduction Living in a cold and/or damp house is known to increase the risk of morbidity, mortality and excess winter deaths. To reduce fuel poverty in Wales, the Welsh Government developed schemes to provide energy efficiency improvements to those ...
Sian Morrison-Rees, Sarah Lowe
doaj   +1 more source

Validation of a case definition for depression in administrative data against primary chart data as a reference standard

open access: yesBMC Psychiatry, 2019
BackgroundBecause the collection of mental health information through interviews is expensive and time consuming, interest in using population-based administrative health data to conduct research on depression has increased.
Chelsea T. A. Doktorchik   +8 more
semanticscholar   +1 more source

Probabilistic linkage to enhance deterministic algorithms and reduce data linkage errors in hospital administrative data

open access: yesJournal of Innovation in Health Informatics, 2017
Background: The pseudonymisation algorithm used to link together episodes of care belonging to the same patient in England [Hospital Episode Statistics ID (HESID)] has never undergone any formal evaluation to determine the extent of data linkage error ...
Gareth Hagger-Johnson   +4 more
doaj   +1 more source

Impact of the COVID-19 pandemic on commencement of psychotropic medications in Northern Ireland: a population-wide, administrative data linkage study.

open access: yesInternational Journal of Population Data Science, 2022
Objectives This study aimed to explore changes in commencement of psychotropic medications in first 20 months of the pandemic and associated restrictions in Northern Ireland (NI).
Lisa Kent   +2 more
doaj   +1 more source

Communicating for Impact: Finding the story in your research

open access: yesInternational Journal of Population Data Science
Researchers who wish to make an impact need to capture people’s attention and inspire action. But to people outside the sector, population data research can be hard to relate to. Better communication can help us overcome this barrier.
Laura Mulvey, Shayda Kashef, Emma Gordon
doaj   +1 more source

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