选定的叙述性评论数据集

包含COVID-19疫情期间医院医生叙述性评论,用于研究士气与职业倦怠。

Figshare
2023-08-02 更新
浏览 18
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Selected narrative comments

基本信息

模态
文本
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2023-08-02
版本
v1

资源简介

选定的叙述性评论数据集

【数据集背景】

本数据集源站标题为《Selected narrative comments.》。源站首次发布:2023-08-02。

【数据内容】

源站原始描述:Background Morale and burnout were concerns for hospitalists prior to the COVID-19 pandemic; these concerns were amplified as COVID-19 spread and hospitals experienced unprecedented stress. In contrast to prior literature, our study assesses both satisfaction and the importance of various factors. This study examines morale of hospitalists early in the COVID-19 pandemic in two settings: conventional hospitals and a COVID-19 Alternate Care site (ACS) in the same geographic region in Maryland. Mul…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 4.xls:undefined,9.73 KB。数据集 DOI:10.1371/journal.pone.0288981.t004。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Evolutionary Biology、Developmental Biology、Marine Biology、Cancer。主题标签:point rating scale、one key difference、sectional survey study、two groups explains、pandemic &# 8217、19 patients could、xlink "> surprisingly、study found morale、study examines morale、acs staff chose。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Selected_narrative_comments_/23825154

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Washburn, Catherine; Kantsiper, Melinda E.; Esteve, Rogette; Gupta, Ishaan; Memon, Gulzeb; Michtalik, Henry J. (2023). Selected narrative comments.. PLOS ONE. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

暂未开放

公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 4.xls" "https://ndownloader.figshare.com/files/41806473"

文件清单

  • Table 4.xls(9.73 KB)

文件总体积 9.73 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Background
Morale and burnout were concerns for hospitalists prior to the COVID-19 pandemic; these concerns were amplified as COVID-19 spread and hospitals experienced unprecedented stress. In contrast to prior literature, our study assesses both satisfaction and the importance of various factors. This study examines morale of hospitalists early in the COVID-19 pandemic in two settings: conventional hospitals and a COVID-19 Alternate Care site (ACS) in the same geographic region in Maryland. Multiple studies published early in the pandemic show low morale in COVID-19 hospitals.
Methods
In a cross-sectional survey study, we analyze data from the Hospitalist Morale Index (HMI) administered between September 2020 and March 2021 to determine the pandemic’s impact on hospitalist morale.
Results
Surprisingly, our study found morale in the ACS was better than morale at the conventional hospitals. ACS hospitalists and conventional hospitalists were demographically similar. Our results show that a significantly higher proportion of conventional hospitalists reported burnout compared to the ACS hospitalists. General quality of life was rated significantly higher in the ACS group than the conventional group. Significantly more ACS hospitalists were invested in making their group outstanding. Five main HMI domains were examined with questions on a 5-point rating scale: Clinical Factors, Workload, Material Rewards, Leadership, and Appreciation/Acknowledgement. ACS hospitalists rated most measures higher than conventional hospitalists; largest differences were observed in Clinical Factors and Appreciation/Acknowledgement domains. Narrative comments from ACS hospitalists revealed strong identification with the mission of the ACS and pride in contributing during a crisis. One key difference between the two groups explains these findings: provider autonomy. The ACS staff chose the position and the assignment, while conventional hospitalists caring for COVID-19 patients could not readily opt out of this work.
Conclusion
Our data suggest that autonomy in assignments with risk has implications for morale and burnout.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0288981.t004(source: https://plos.figshare.com/articles/dataset/Selected_narrative_comments_/23825154)。

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