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: Apply Graph Theory to analyze and map knowledge about nursing diagnoses and interventions, based on records of consultations carried out by nurses, in women's health, in primary health care.
Methods: Secondary data from a cross-sectional study were used. Records of nursing consultations carried out during the month of October 2016, in 21 health units, in a Brazilian municipality were analyzed. Network analysis was carried out using Graphs from 61 nursing consultations.
Results: 175 diagnoses were recorded, an average of three per consultation; and 380 interventions, an average of six per consultation. In the analysis, four diagnostic and four intervention network groupings were identified.
Conclusions: The mapping allowed reflection on phenomena of interest to Nursing and fostering critical thinking in decision making. The findings are useful for teaching and training nurses, as well as strengthening the use of standardized language systems.
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Source |
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http://dx.doi.org/10.3233/SHTI240168 | DOI Listing |
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