Porth Ymchwil

Using clustering techniques to identify localities with multiple health and social needs

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

StandardStandard

Using clustering techniques to identify localities with multiple health and social needs. / Bellis, Mark A; Jarman, Ian; Downing, Jenny et al.
Yn: Health and Place, Cyfrol 18, Rhif 2, 03.2012, t. 138-43.

Allbwn ymchwil: Cyfraniad at gyfnodolyn › Erthygl › adolygiad gan gymheiriaid

HarvardHarvard

Bellis, MA, Jarman, I, Downing, J, Perkins, C, Beynon, C, Hughes, K & Lisboa, P 2012, 'Using clustering techniques to identify localities with multiple health and social needs', Health and Place, cyfrol. 18, rhif 2, tt. 138-43. https://doi.org/10.1016/j.healthplace.2011.08.003

APA

Bellis, M. A., Jarman, I., Downing, J., Perkins, C., Beynon, C., Hughes, K., & Lisboa, P. (2012). Using clustering techniques to identify localities with multiple health and social needs. Health and Place, 18(2), 138-43. https://doi.org/10.1016/j.healthplace.2011.08.003

CBE

Bellis MA, Jarman I, Downing J, Perkins C, Beynon C, Hughes K, Lisboa P. 2012. Using clustering techniques to identify localities with multiple health and social needs. Health and Place. 18(2):138-43. https://doi.org/10.1016/j.healthplace.2011.08.003

MLA

Bellis, Mark A et al. "Using clustering techniques to identify localities with multiple health and social needs". Health and Place. 2012, 18(2). 138-43. https://doi.org/10.1016/j.healthplace.2011.08.003

VancouverVancouver

Bellis MA, Jarman I, Downing J, Perkins C, Beynon C, Hughes K et al. Using clustering techniques to identify localities with multiple health and social needs. Health and Place. 2012 Maw;18(2):138-43. doi: 10.1016/j.healthplace.2011.08.003

Author

Bellis, Mark A ; Jarman, Ian ; Downing, Jenny et al. / Using clustering techniques to identify localities with multiple health and social needs. Yn: Health and Place. 2012 ; Cyfrol 18, Rhif 2. tt. 138-43.

RIS

TY - JOUR

T1 - Using clustering techniques to identify localities with multiple health and social needs

AU - Bellis, Mark A

AU - Jarman, Ian

AU - Downing, Jenny

AU - Perkins, Clare

AU - Beynon, Caryl

AU - Hughes, Karen

AU - Lisboa, Paulo

N1 - Copyright © 2011 Elsevier Ltd. All rights reserved.

PY - 2012/3

Y1 - 2012/3

N2 - Development of health promoting policies requires an understanding not just of the interplay between different measures of health but also their relationship with broader education, criminal justice and other social issues. Methods to better utilise multi-sectoral data to inform policy are needed. Applying clustering techniques to 30 health and social metrics we identify 5 distinct local authority types, with poor outcomes for the majority of metrics concentrated in the same cluster. Clusters were distinguished especially by levels of: child poverty; breastfeeding initiation; children's tooth decay; teenage pregnancy; healthy eating; mental illness; tuberculosis and smoking deaths. Membership of the worst cluster (C5) was focused in Northern England which contains 15.7% of authorities analysed (n=324), but 63.0% of those in C5. The concentration of challenges in certain areas creates disproportionate pressures that may exceed the cumulative effects of individual challenges. Such distinct health clusters also raise issues of transferability of effective policies between areas with different cluster membership.

AB - Development of health promoting policies requires an understanding not just of the interplay between different measures of health but also their relationship with broader education, criminal justice and other social issues. Methods to better utilise multi-sectoral data to inform policy are needed. Applying clustering techniques to 30 health and social metrics we identify 5 distinct local authority types, with poor outcomes for the majority of metrics concentrated in the same cluster. Clusters were distinguished especially by levels of: child poverty; breastfeeding initiation; children's tooth decay; teenage pregnancy; healthy eating; mental illness; tuberculosis and smoking deaths. Membership of the worst cluster (C5) was focused in Northern England which contains 15.7% of authorities analysed (n=324), but 63.0% of those in C5. The concentration of challenges in certain areas creates disproportionate pressures that may exceed the cumulative effects of individual challenges. Such distinct health clusters also raise issues of transferability of effective policies between areas with different cluster membership.

KW - Adolescent

KW - Adult

KW - Aged

KW - Child

KW - Child, Preschool

KW - Cluster Analysis

KW - England

KW - Female

KW - Health Services Needs and Demand

KW - Health Status Indicators

KW - Humans

KW - Infant

KW - Local Government

KW - Male

KW - Middle Aged

KW - Pregnancy

KW - Public Health

KW - Social Class

KW - Young Adult

KW - Journal Article

U2 - 10.1016/j.healthplace.2011.08.003

DO - 10.1016/j.healthplace.2011.08.003

M3 - Article

C2 - 21925923

VL - 18

SP - 138

EP - 143

JO - Health and Place

JF - Health and Place

SN - 1353-8292

IS - 2

ER -