A PHP Error was encountered

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

Development of a Psychological Scale for Measuring Disruptive Clinician Behavior. | LitMetric

Objectives: Disruptive clinician behavior worsens communication, information transfer, and teamwork, all of which negatively affect patient safety. Improving safety in medical care requires an accurate assessment of the damage caused by disruptive clinician behavior. Psychometric scales complement case reports, but existing scales have significant limitations. Therefore, this study developed a psychometric scale based on the psychological paradigm to assess disruptive clinician behavior.

Methods: The scale was developed through a sequence of steps. First, we used an open-ended questionnaire targeting 712 nurses, content analysis, and content validity assessment by 5 experts to determine valid items for disruptive clinical behavior. Next, an Internet questionnaire survey targeting 1000 health care staff, exploratory factor analysis, and subfactor analysis was conducted to identify necessary and sufficient factors. Then, we calculated difficulty level and discriminative power. We also conducted a field questionnaire survey targeting 84 staff in a hospital. Finally, we calculated ω coefficients and then used confirmatory factor analysis to verify the fit of the hypothesized model.

Results: Our open-ended survey involving 478 nurses identified 47 codes in 9 categories. The questionnaire survey involving hospital 1000 medical staff identified 6 factors, with 1 factor subdivided into 4 subfactors and 1 into 2 subfactors. The goodness of fit of the hypothesized 10-factor models with factor pairs and groups was confirmed.

Conclusions: We developed a psychometric scale measuring subjective assessments of harm covering various disruptive clinician behaviors. The scale complements interviews and case reports by generating valid, reliable scores for various disruptive clinician behaviors in health care institutions.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10662605PMC
http://dx.doi.org/10.1097/PTS.0000000000001162DOI Listing

Publication Analysis

Top Keywords

disruptive clinician
24
clinician behavior
12
questionnaire survey
12
scale measuring
8
case reports
8
developed psychometric
8
psychometric scale
8
survey targeting
8
health care
8
factor analysis
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!