SIL和PL特征
包含SIL和PL特征的定性文本数据,用于分析髋部骨折认知障碍患者的多组分干预实施过程。

基本信息
资源简介
SIL和PL特征
【数据集背景】
本数据集源站标题为《SIL and PL characteristics.》。源站首次发布:2023-02-24。
【数据内容】
源站原始描述:Background Delivering care to growing numbers of patients with increasingly ‘complex’ needs is currently compromised by a system designed to treat patients within organizational clinical specialties, making this difficult to reconfigure to fit care to needs. Problematic experiences of people with cognitive impairment(s) admitted to hospitals with a hip fracture, exemplify the complex challenges that result if their care is not tailored. This study explored whether a flexible, multicomponent inte…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0279651.t001。
【主题与分类】
源站学科分类:Medicine、Neuroscience、Biological Sciences not elsewhere classified、Cancer、Science Policy。主题标签:wider contextual goals、weekly reflective reports、increasingly &# 8216、generating inductive codes、collective action )</、reflexive monitoring </、complex &# 8217、study explored whether、case study design、cognitive participation </。
【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/SIL_and_PL_characteristics_/22159108
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Fox, Chris; Hammond, Simon P.; Backhouse, Tamara; Poland, Fiona; Waring, Justin; Penhale, Bridget; et al. (2023). SIL and PL characteristics.. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-21,引用时请注意版本时效。
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)
- 源站标题:SIL and PL characteristics.
- DOI:10.1371/journal.pone.0279651.t001
- 发布日期:2023-02-24
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/SIL_and_PL_characteristics_/22159108
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/39395404"
文件清单
Table 1.xls(5.63 KB)
文件总体积 5.63 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
Delivering care to growing numbers of patients with increasingly ‘complex’ needs is currently compromised by a system designed to treat patients within organizational clinical specialties, making this difficult to reconfigure to fit care to needs. Problematic experiences of people with cognitive impairment(s) admitted to hospitals with a hip fracture, exemplify the complex challenges that result if their care is not tailored. This study explored whether a flexible, multicomponent intervention, adapting services to the needs of this patient group, could be implemented in acute hospital settings.
Methods
We used action research with case study design to introduce the intervention using a Plan-Do-Study-Act (PDSA) model to three different hospital sites (cases) across England. The qualitative data for this paper was researcher-generated (notes from observations and teleconference meetings) and change agent-generated (action plans and weekly reflective reports of change agents’ activities). Normalization Process Theory (NPT) was used to analyze and explain the work of interacting actors in implementing and then normalizing (embedding) the intervention across contexts and times. Data analysis was abductive, generating inductive codes then identified with NPT constructs. Across the three cases, change agents had to work through numerous implementation challenges: needing to make sense of the intervention package, the PDSA model as implementation method, and their own role as change agents and to orientate these within their action context (coherence). They had to work to encourage colleagues to invest in these changes (cognitive participation) and find ways to implement the intervention by mobilising changes (collective action). Finally, they created strategies for clinical routines to continue to self-review, reconfiguring actions and future plans to enable the intervention to be sustained (reflexive monitoring).
Conclusions
Successful implementation of the (PERFECT-ER) intervention requires change agents to recognize and engage with local values, and then to enable its fit with practice and wider contextual goals. A context of constant change fragments nor
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0279651.t001(source: https://plos.figshare.com/articles/dataset/SIL_and_PL_characteristics_/22159108)。
数据缺失?
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