Using Linked Longitudinal Administrative Data to Identify Social Disadvantage
نویسندگان
چکیده
منابع مشابه
Using administrative data to identify naturally occurring networks of physicians.
BACKGROUND Physicians naturally form networks. Networks could form a rational basis for Accountable Care Organizations (ACOs) for defined populations of Medicare beneficiaries. OBJECTIVES To use methods from network science to identify naturally occurring networks of physicians that might be best suited to becoming ACOs. RESEARCH DESIGN, SUBJECTS, AND MEASURES Using nationally representativ...
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INTRODUCTION Population ageing is a welcome testament to improvements in the social, economic and health circumstances over the life course. However, these successes necessitate that we understand more about the pathways of ageing to plan and cost our health and social care services, to support our ageing population to live healthier for longer and to make adequate provisions for retirement. Lo...
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Background. Commonly self-reported questions in population health surveys, such as "do you have a family physician?", represent one of the best-known sources of information about patients' attachment to family physicians. Is it possible to find a proxy for this information in administrative data? Objective. To identify the type of patient attachment to a family physician using administrative da...
متن کاملValidation of physician billing and hospitalization data to identify patients with ischemic heart disease using data from the Electronic Medical Record Administrative data Linked Database (EMRALD).
BACKGROUND Reporting of ischemic heart disease (IHD) prevalence in Canada has been based on self-report or patients presenting to hospital. However, IHD often presents and can be managed in the outpatient setting. OBJECTIVES To determine whether the combination of hospital data and physician billings could accurately identify patients with IHD. METHODS A random sample of 969 adult patients ...
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ژورنال
عنوان ژورنال: Social Indicators Research
سال: 2019
ISSN: 0303-8300,1573-0921
DOI: 10.1007/s11205-019-02173-1