The mass transit mess in southern California
In: California journal: the monthly analysis of State government and politics, Band 10, S. 421-423
ISSN: 0008-1205
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In: California journal: the monthly analysis of State government and politics, Band 10, S. 421-423
ISSN: 0008-1205
In: Journal of applied research in intellectual disabilities: JARID, Band 34, Heft 1, S. 211-217
ISSN: 1468-3148
AbstractBackgroundPeople with learning disabilities have higher rates of admitted patient care than the general population. This study explored emergency hospital admissions during 2018/19 in association with learning disability health check recording in general practice within the Kent Integrated Dataset during 2016/17 to 2018/19.MethodsMultiple logistic regression evaluated the odds of emergency hospital admission by sex, age, deprivation, residence, risk score, long‐term conditions, severe health needs and health check. During 2018/19, one or more emergency hospital admissions were recorded for 10.9% of the 5,759 persons recorded with learning disability.ResultsThere were lower odds of emergency hospital admission in persons having had learning disability health check in the past 3 years even after adjustment.ConclusionsComparison to nationally representative research suggests a consistent finding of benefit from learning disability health check on indicators of unplanned care use, supporting the view that learning disability health checks facilitate the addressing of key health needs.
In: International journal of population data science: (IJPDS), Band 3, Heft 1
ISSN: 2399-4908
IntroductionElectronic healthcare records from the UK are accessible to researchers via a number of platforms, but these platforms typically include data from a limited subset of health and care services. The Kent Integrated Dataset (KID) aims to provide insight into system-wide health and care utilisation for the whole population of Kent and Medway.
MethodsThe KID uses pseudonymisation-at-source to link patient-level records from services including general practices, hospitals, community health services and social care. The design and governance of the dataset is led by local authorities, health commissioners and service providers.
ResultsA population-level dataset has been developed, including data from April 2014 onwards. Data providers add new data on a monthly basis. The KID has been used to understand the costs associated with frailty, estimate the prevalence of rare conditions and compare the risk of non-elective hospitalisation between general practices.
ConclusionThe KID is a unique and rich dataset available to researchers who are investigating a broad range of public health questions. It provides system-level insight into patient journeys and care utilisation and supports commissioning based on patient needs.