Diagnosing Potentially Preventable Hospitalisations (DaPPHne): protocol for a mixed-methods data-linkage study
about
Visualising linked health data to explore health events around preventable hospitalisations in NSW AustraliaSociodemographic variations in the amount, duration and cost of potentially preventable hospitalisation for chronic conditions among Aboriginal and non-Aboriginal Australians: a period prevalence study of linked public hospital dataNotwithstanding High Prevalence of Overweight and Obesity, Smoking Remains the Most Important Factor in Poor Self-rated Health and Hospital Use in an Australian Regional Community.
P2860
Diagnosing Potentially Preventable Hospitalisations (DaPPHne): protocol for a mixed-methods data-linkage study
description
2015 nî lūn-bûn
@nan
2015 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Diagnosing Potentially Prevent ...... xed-methods data-linkage study
@ast
Diagnosing Potentially Prevent ...... xed-methods data-linkage study
@en
type
label
Diagnosing Potentially Prevent ...... xed-methods data-linkage study
@ast
Diagnosing Potentially Prevent ...... xed-methods data-linkage study
@en
prefLabel
Diagnosing Potentially Prevent ...... xed-methods data-linkage study
@ast
Diagnosing Potentially Prevent ...... xed-methods data-linkage study
@en
P2093
P2860
P50
P1433
P1476
Diagnosing Potentially Prevent ...... xed-methods data-linkage study
@en
P2093
Bronwyn Chalker
Jennifer J Johnston
Louisa Jorm
Margaret Rolfe
P2860
P304
P356
10.1136/BMJOPEN-2015-009879
P577
2015-11-23T00:00:00Z