2005
DOI: 10.1068/c0427
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Reevaluating Funding Mechanisms for UK Primary Care Trusts: A New Model of Secondary Care Usage Incorporating Lifestyle Data

Abstract: This paper is concerned with modelling variations in the use of health-care services between small geographic areas. A range of potential explanatory variables are identified from a review of previous literature, ranging from social, economic, and demographic factors through access to services, and practitioner characteristics, to new measures of behaviour and lifestyle. Real admissions data for the city of Leeds relating to a variety of services over a three-year period are introduced to calibrate a series of… Show more

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Cited by 3 publications
(4 citation statements)
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“…Some factors are due to the complexity of patients' behaviour, as demonstrated by Harrington et al (2012) and Lewis and Longley (2012), which use health care utilization data to characterize the relationship between potential and realized access and identify factors that relate to utilization. As opposed to these two studies, and still other sophisticated access studies, like, for example, the ones of Clarke et al (2002), which quantifies patterns of access using household expenditure data, and Birkin et al (2005), which models variations in health care utilization, this paper focuses on potential access analysis.…”
Section: Spatial Analysis In Healthmentioning
confidence: 99%
See 1 more Smart Citation
“…Some factors are due to the complexity of patients' behaviour, as demonstrated by Harrington et al (2012) and Lewis and Longley (2012), which use health care utilization data to characterize the relationship between potential and realized access and identify factors that relate to utilization. As opposed to these two studies, and still other sophisticated access studies, like, for example, the ones of Clarke et al (2002), which quantifies patterns of access using household expenditure data, and Birkin et al (2005), which models variations in health care utilization, this paper focuses on potential access analysis.…”
Section: Spatial Analysis In Healthmentioning
confidence: 99%
“…(), which quantifies patterns of access using household expenditure data, and Birkin et al. (), which models variations in health care utilization, this paper focuses on potential access analysis.…”
Section: Introductionmentioning
confidence: 99%
“…As a result the majority of current geodemographic classifications have been produced in the commercial sector; examples include ACORN, MOSAIC, PinPoint and Super Profiles. The use of these commercial datasets is growing in the public health sector (eg, Aveyard et al ., 2002; Birkin et al ., 2005; Powell et al ., 2007). Nevertheless, there are non-commercial classification systems, for example following the 2001 censuses ONS produced an entirely new, census-based geodemographic classification of OAs, which is freely available (Vickers and Rees, 2007).…”
Section: Socio-economic and Behavioural Indicatorsmentioning
confidence: 99%
“…Longitudinal panel data have been used previously to measure the effect of competitive tendering on authorities' performance on individual services (eg McMaster, 1995;Szymanski, 1996), but not to model councils' overall performance. There is also a related literature that models health-service outcomes from small area data (eg Birkin et al, 2005).…”
mentioning
confidence: 99%