Literature DB >> 10538878

What determines geographical variation in rates of acceptance onto renal replacement therapy in England?

P Roderick1, S Clements, N Stone, D Martin, I Diamond.   

Abstract

OBJECTIVE: To determine the independent effects of need and supply factors on the known geographical variation in acceptance rates onto renal replacement therapy (RRT) in England.
METHODS: Data were obtained from all renal units in England on the characteristics of all cases aged 16 years and over, resident in England, who were accepted onto RRT in 1991 and 1992. Of these, 5715 (94.5%) had a valid postcode that could be matched to a census ward. Multilevel modelling using Poisson regression was used. The number of acceptances in each census ward within age bands 16-34, 35-64 and 65+ was the dependent variable. Independent effects modelled were: (1) individual factors (age, sex); (2) census ward need factors--ethnicity (expressed as the percentage of the ward population that was Asian or African-Caribbean), socio-economic deprivation--and supply factors--'access' to the nearest renal unit using crowfly and road travel time and distance, and services available to each ward expressed as number of haemodialysis stations per 100,000 catchment population of the nearest renal unit; (3) district health authority level effects.
RESULTS: Age was a major determinant of acceptance, with a 7-fold higher rate in males aged over 64 years compared with younger men. Acceptance rates were lower in females, with a negative age-sex interaction in females aged over 64 years. The percentage of both Asian and African-Caribbean populations per ward was a highly significant positive determinant. Deprivation was also a significant determinant, best represented by a customised index. There was an inverse relation of acceptance with distance, especially road travel time. Other supply side variables had a significant effect though there was no independent district effect. There was some variation in the strength of these relationships by type of area (Greater London, urban and non-urban).
CONCLUSIONS: Need and supply factors influence service use as expressed as acceptance onto RRT. Pressure to expand RRT services needs to be aimed at areas with large minority ethnic populations and those living far from existing units.

Entities:  

Mesh:

Year:  1999        PMID: 10538878     DOI: 10.1177/135581969900400304

Source DB:  PubMed          Journal:  J Health Serv Res Policy        ISSN: 1355-8196


  9 in total

1.  Socioeconomic deprivation, travel distance, and renal replacement therapy in the Trent Region, United Kingdom 2000: an ecological study.

Authors:  R Maheswaran; N Payne; D Meechan; R P Burden; P R Fryers; J Wight; A Hutchinson
Journal:  J Epidemiol Community Health       Date:  2003-07       Impact factor: 3.710

2.  The timing of dialysis initiation affects the incidence of renal replacement therapy.

Authors:  Cécile Couchoud; Chantal Guihenneuc; Florian Bayer; Bénédicte Stengel
Journal:  Nephrol Dial Transplant       Date:  2010-01-06       Impact factor: 5.992

3.  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

4.  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

5.  Mapping end-stage renal disease (ESRD): spatial variations on small area level in northern France, and association with deprivation.

Authors:  Florent Occelli; Annabelle Deram; Michaël Génin; Christian Noël; Damien Cuny; François Glowacki
Journal:  PLoS One       Date:  2014-11-03       Impact factor: 3.240

6.  Spatial distribution of end-stage renal disease (ESRD) and social inequalities in mixed urban and rural areas: a study in the Bretagne administrative region of France.

Authors:  Wahida Kihal-Talantikite; Séverine Deguen; Cindy Padilla; Muriel Siebert; Cécile Couchoud; Cécile Vigneau; Sahar Bayat
Journal:  Clin Kidney J       Date:  2014-12-03

Review 7.  A novel approach to estimate the local population denominator to calculate disease incidence for hospital-based health events in England.

Authors:  James Campling; Elizabeth Begier; Andrew Vyse; Catherine Hyams; Dave Heaton; Jo Southern; Adam Finn; Harish Madhava; Bradford D Gessner; Gillian Ellsbury
Journal:  Epidemiol Infect       Date:  2022-07-11       Impact factor: 4.434

8.  The impact of travel time on geographic distribution of dialysis patients.

Authors:  Saori Kashima; Masatoshi Matsumoto; Takahiko Ogawa; Akira Eboshida; Keisuke Takeuchi
Journal:  PLoS One       Date:  2012-10-17       Impact factor: 3.240

9.  Socioeconomic deprivation and barriers to live-donor kidney transplantation: a qualitative study of deceased-donor kidney transplant recipients.

Authors:  Phillippa K Bailey; Yoav Ben-Shlomo; Charles R V Tomson; Amanda Owen-Smith
Journal:  BMJ Open       Date:  2016-03-02       Impact factor: 2.692

  9 in total

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