Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: Identifying families having health risks using GIS technology to plan health care action which would include the whole community and not just that part of the population demanding attention.
Methods: 48,800 inhabitants from Ensenada county near Buenos Aires, Argentina were registered and questioned regarding socio-economic-sanitary aspects and their data was georeferenced to cadastral maps (using Arc-GIS-ESRI-2002 software). Health teams (HT) from each local health centre (LHC) were instructed in how to identify the population at risk and plan and carry out preventative health action using the software. Variables such as the quality of attention received, knowledge of the area and its inhabitants, the effectiveness of LHC action, the amount of extramural activities engaged in, community participation and the degree of satisfaction were evaluated pre- and post-PANDELAS.
Results: PANDELAS led to focusing attention on homes having structural disadvantages (i.e. the absence of drinking water or drains), vulnerable inhabitants having special characteristics or sick people suffering from a chronic pathology. Children aged <1 year, patients affected by chronic disease, the aged, pregnant women and people lacking routine controls (such as Papanicolau, etc) were georeferenced. Controls were increased by 300 % based on this information. LHC tripled their knowledge of the area for which they were responsible and the needs of their target population; outdoor community activities increased 6-fold and community participation increased from 0 ,1 % to 3,9 %. LHC satisfaction and that of the community with the work done was reflected in 89 % and 85 % favourable answers, respectively.
Conclusions: PANDELAS brought greater LHC commitment towards their community, planning their activities on the basis of preventative action and increasing accessibility to the heath care system.
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Source |
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http://dx.doi.org/10.1590/s0124-00642008000200001 | DOI Listing |
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