Journal article 1054 views 130 downloads
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales.
Jiao Song
,
Ashley Akbari
,
Caryn Cox,
Leon May,
William Watkins,
Sarah Aitken,
Sarah Thomas,
William King
International Journal of Population Data Science, Volume: 3, Issue: 2
Swansea University Authors:
Jiao Song , Ashley Akbari
DOI (Published version): 10.23889/ijpds.v3i2.521
Abstract
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales.
Published in: | International Journal of Population Data Science |
---|---|
ISSN: | 2399-4908 |
Published: |
2018
|
Online Access: |
Check full text
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa40984 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
first_indexed |
2018-07-12T19:34:02Z |
---|---|
last_indexed |
2018-09-18T18:51:58Z |
id |
cronfa40984 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2018-09-18T15:42:40.7247444</datestamp><bib-version>v2</bib-version><id>40984</id><entry>2018-07-12</entry><title>The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales.</title><swanseaauthors><author><sid>00048c7531209d3238534e0b319de731</sid><ORCID>0000-0002-4976-156X</ORCID><firstname>Jiao</firstname><surname>Song</surname><name>Jiao Song</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>aa1b025ec0243f708bb5eb0a93d6fb52</sid><ORCID>0000-0003-0814-0801</ORCID><firstname>Ashley</firstname><surname>Akbari</surname><name>Ashley Akbari</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2018-07-12</date><deptcode>HDAT</deptcode><abstract/><type>Journal Article</type><journal>International Journal of Population Data Science</journal><volume>3</volume><journalNumber>2</journalNumber><publisher/><issnElectronic>2399-4908</issnElectronic><keywords/><publishedDay>12</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-06-12</publishedDate><doi>10.23889/ijpds.v3i2.521</doi><url/><notes/><college>COLLEGE NANME</college><department>Health Data Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>HDAT</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-09-18T15:42:40.7247444</lastEdited><Created>2018-07-12T14:33:04.1949016</Created><path><level id="1">Faculty of Medicine, Health and Life Sciences</level><level id="2">Swansea University Medical School - Medicine</level></path><authors><author><firstname>Jiao</firstname><surname>Song</surname><orcid>0000-0002-4976-156X</orcid><order>1</order></author><author><firstname>Ashley</firstname><surname>Akbari</surname><orcid>0000-0003-0814-0801</orcid><order>2</order></author><author><firstname>Caryn</firstname><surname>Cox</surname><order>3</order></author><author><firstname>Leon</firstname><surname>May</surname><order>4</order></author><author><firstname>William</firstname><surname>Watkins</surname><order>5</order></author><author><firstname>Sarah</firstname><surname>Aitken</surname><order>6</order></author><author><firstname>Sarah</firstname><surname>Thomas</surname><order>7</order></author><author><firstname>William</firstname><surname>King</surname><order>8</order></author></authors><documents><document><filename>0040984-24072018114950.pdf</filename><originalFilename>40984.pdf</originalFilename><uploaded>2018-07-24T11:49:50.0970000</uploaded><type>Output</type><contentLength>221506</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-07-24T00:00:00.0000000</embargoDate><documentNotes>Open Access under CC BY-NC-ND 4.0</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
spelling |
2018-09-18T15:42:40.7247444 v2 40984 2018-07-12 The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. 00048c7531209d3238534e0b319de731 0000-0002-4976-156X Jiao Song Jiao Song true false aa1b025ec0243f708bb5eb0a93d6fb52 0000-0003-0814-0801 Ashley Akbari Ashley Akbari true false 2018-07-12 HDAT Journal Article International Journal of Population Data Science 3 2 2399-4908 12 6 2018 2018-06-12 10.23889/ijpds.v3i2.521 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University 2018-09-18T15:42:40.7247444 2018-07-12T14:33:04.1949016 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Jiao Song 0000-0002-4976-156X 1 Ashley Akbari 0000-0003-0814-0801 2 Caryn Cox 3 Leon May 4 William Watkins 5 Sarah Aitken 6 Sarah Thomas 7 William King 8 0040984-24072018114950.pdf 40984.pdf 2018-07-24T11:49:50.0970000 Output 221506 application/pdf Version of Record true 2018-07-24T00:00:00.0000000 Open Access under CC BY-NC-ND 4.0 true eng |
title |
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. |
spellingShingle |
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. Jiao Song Ashley Akbari |
title_short |
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. |
title_full |
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. |
title_fullStr |
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. |
title_full_unstemmed |
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. |
title_sort |
The Inverse Care Law programme: evaluating a population based intervention in primary care within deprived communities in Wales. |
author_id_str_mv |
00048c7531209d3238534e0b319de731 aa1b025ec0243f708bb5eb0a93d6fb52 |
author_id_fullname_str_mv |
00048c7531209d3238534e0b319de731_***_Jiao Song aa1b025ec0243f708bb5eb0a93d6fb52_***_Ashley Akbari |
author |
Jiao Song Ashley Akbari |
author2 |
Jiao Song Ashley Akbari Caryn Cox Leon May William Watkins Sarah Aitken Sarah Thomas William King |
format |
Journal article |
container_title |
International Journal of Population Data Science |
container_volume |
3 |
container_issue |
2 |
publishDate |
2018 |
institution |
Swansea University |
issn |
2399-4908 |
doi_str_mv |
10.23889/ijpds.v3i2.521 |
college_str |
Faculty of Medicine, Health and Life Sciences |
hierarchytype |
|
hierarchy_top_id |
facultyofmedicinehealthandlifesciences |
hierarchy_top_title |
Faculty of Medicine, Health and Life Sciences |
hierarchy_parent_id |
facultyofmedicinehealthandlifesciences |
hierarchy_parent_title |
Faculty of Medicine, Health and Life Sciences |
department_str |
Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine |
document_store_str |
1 |
active_str |
0 |
published_date |
2018-06-12T03:52:13Z |
_version_ |
1763752577247215616 |
score |
11.016593 |