Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 143
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 143
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 209
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 994
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3134
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 574
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 488
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objective: To develop and validate a questionnaire to evaluate missed nursing care (MNC) in a home care setting.
Design: A new instrument was developed and tested performing a preliminary analysis of a multicenter cross-sectional study in Italy. Reporting was performed according to COnsensus-based Standards for the selection of health status Measurement INstruments (COSMIN) guidelines.
Sample: Eight hundred out of a total of 2549 home care nurses enrolled in AIDOMUS-IT were considered for the validation of the Missed Nursing Care in Home Care (MNC_HC).
Measurements: The MNC_HC instrument was developed by a panel of experts and underwent content and face validation. Exploratory (EFA) and confirmatory factor analyses (CFA) were conducted.
Results: EFA revealed a one-factor solution, explaining 56% of the total variance for MNC_HC. CFA confirmed excellent structural validity, with a one-factor model showing an exceptional fit (χ (27) = 141.39, p < .001, RMSEA = 0.04, SRMR = 0.04, CFI = 0.99, TLI = 0.99, factor loadings > 0.5). MNC_HC also demonstrated high reliability (Cronbach's α = 0.92). The activity with the highest rate of missed care was the documentation of nursing care (77%), while activities related to nursing techniques (e.g., injections, dressings, etc.) were reported to be missed less (33.63%).
Conclusions: MNC_HC is a quick-filling, valid, reliable, and psychometrically sound instrument for measuring MNC in home care useful for future research.
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Source |
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http://dx.doi.org/10.1111/phn.13414 | DOI Listing |
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