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: 1034
Function: getPubMedXML

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016

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

Secondary Qualitative Analysis of Stigmatizing and Nonstigmatizing Language Used in Hospital Birth Settings. | LitMetric

Objective: To more clearly understand the use of stigmatizing and nonstigmatizing language in electronic health records in hospital birth settings and to broaden the understanding of discrimination and implicit bias in clinical care.

Design: A secondary qualitative analysis of free-text clinical notes from electronic health records.

Setting: Two urban hospitals in the northeastern United States that serve patients with diverse sociodemographic characteristics during the perinatal period.

Participants: A total of 1,771 clinical notes from inpatient birth admissions in 2017.

Methods: We used Krippendorff's content analysis of categorial distinction to identify stigmatizing and nonstigmatizing language. We based our categories for the content analysis on our pilot study and preexisting categories described by other researchers. We also explored new language categories that emerged during analysis.

Results: We reviewed 1,771 notes and identified 10 categories that demonstrated stigmatizing language toward patients, nonstigmatizing language toward patients, and stigmatizing language among clinicians. We identified a new stigmatizing language category, Unjustified Descriptions of Social and Behavioral Risks. Positive or Preferred Language and Patient Exercising Autonomy for Birth are two new categories that represent language that empowers patients. Clinician Blame and Structural Care Barriers are new language categories that imply complex interprofessional dynamics and structural challenges in health care settings that can adversely affect the provision of care.

Conclusions: The results of this study provide a foundation for future efforts to reduce the use of stigmatizing language in clinical documentation and can be used to inform multilevel interventions to reduce bias in the clinical care in birth settings.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.jogn.2024.10.003DOI Listing

Publication Analysis

Top Keywords

nonstigmatizing language
16
stigmatizing language
16
stigmatizing nonstigmatizing
12
language
12
birth settings
12
secondary qualitative
8
qualitative analysis
8
hospital birth
8
electronic health
8
bias clinical
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!