Literature DB >> 15949526

Analysis of renal service provision in south and mid Wales.

S Christie1, G Morgan, M Heaven, Q Sandifer, H van Woerden.   

Abstract

OBJECTIVES: This paper estimates point prevalence of renal replacement therapy (RRT) utilization within population strata defined by geography and deprivation in south and mid Wales. It investigates spatial accessibility of main and satellite renal units by comparing population and patient numbers within bands of travel time. STUDY
DESIGN: Prevalence study based on patient registers.
METHODS: From a list of patient and renal unit locations, geocoded at the level of unit postcodes, and electoral division-level denominator population data, we calculated RRT point prevalence for the 16 unitary authorities in the study area, fifths of small area deprivation, and three bands of travel time from the nearest main renal unit and any (main or satellite) unit.
RESULTS: Overall point prevalence was 633 per million population (pmp) and this varied from 256 to 780 pmp across unitary authorities. RRT prevalence was lower in more deprived areas. Sixty-nine percent of the population and 73% of patients lived within 30 min of a main renal unit. Eighty-four percent of the population and 88% of patients lived within 30 min of a main or satellite renal unit.
CONCLUSIONS: The provision of satellite renal units has significantly improved spatial accessibility of RRT services. However, a substantial proportion of the population remains geographically distant from renal units. This has important implications for planning of future provision of RRT, given the inverse relationship between RRT acceptance and travel time, and the impact on quality of life of patients who travel frequently to renal units.

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Year:  2005        PMID: 15949526     DOI: 10.1016/j.puhe.2005.01.013

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  3 in total

1.  Racial composition of residential areas associates with access to pre-ESRD nephrology care.

Authors:  Suma Prakash; Rudolph A Rodriguez; Peter C Austin; Refik Saskin; Alicia Fernandez; Louise M Moist; Ann M O'Hare
Journal:  J Am Soc Nephrol       Date:  2010-06-17       Impact factor: 10.121

2.  Validation of travel times to hospital estimated by GIS.

Authors:  Robin Haynes; Andrew P Jones; Violet Sauerzapf; Hongxin Zhao
Journal:  Int J Health Geogr       Date:  2006-09-19       Impact factor: 3.918

3.  Comparison of perceived and modelled geographical access to accident and emergency departments: a cross-sectional analysis from the Caerphilly Health and Social Needs Study.

Authors:  David L Fone; Stephen Christie; Nathan Lester
Journal:  Int J Health Geogr       Date:  2006-04-13       Impact factor: 3.918

  3 in total

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