心力衰竭共享医疗预约培训项目时间线和数据摘要
基于访谈、观察和文档分析的心力衰竭共享医疗预约培训评估数据集,识别六项培训改进措施。

基本信息
资源简介
心力衰竭共享医疗预约培训项目时间线和数据摘要
【数据集背景】
本数据集源站标题为《Project timeline and data summary.》。源站首次发布:2024-11-20。
【数据内容】
源站原始描述:Shared medical appointments (SMA) help patients learn skills to self-manage chronic medical conditions. While this model of care delivery is thought to improve access to care with an efficient use of healthcare providers’ time, many healthcare teams struggle to implement this healthcare model. Guidance and training resources on the implementation of SMAs is expected to improve adoption, implementation and sustainability of SMAs. Our evaluation team collaborated with the HF SMA trainer to complet…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 3.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0310639.t003。
【主题与分类】
源站学科分类:Sociology、Biological Sciences not elsewhere classified、Science Policy。主题标签:short online modules、shared lessons learned、identifying potential adaptations、identified six adaptations、healthcare teams participating、healthcare teams interested、developmental formative evaluation、team member requirements、qualitative data collected、added periodic one。
【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/Project_timeline_and_data_summary_/27870487
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Hearns, Rene; Ball, Sherry L.; Wilkerson, Tai-Lyn; Gee, Julie; LaForest, Sharon; Schaub, Kimberley; et al. (2024). Project timeline and data summary.. PLOS ONE. Dataset
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:Project timeline and data summary.
- DOI:10.1371/journal.pone.0310639.t003
- 发布日期:2024-11-20
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Project_timeline_and_data_summary_/27870487
命令行下载
curl -L -o "Table 3.xls" "https://ndownloader.figshare.com/files/50664241"
文件清单
Table 3.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
Shared medical appointments (SMA) help patients learn skills to self-manage chronic medical conditions. While this model of care delivery is thought to improve access to care with an efficient use of healthcare providers’ time, many healthcare teams struggle to implement this healthcare model. Guidance and training resources on the implementation of SMAs is expected to improve adoption, implementation and sustainability of SMAs. Our evaluation team collaborated with the HF SMA trainer to complete a developmental formative evaluation of a two-day training program with a goal of adapting the training program and to better suit the needs and resources of healthcare teams interested in implementing HF-SMAs. Our evaluation team interviewed members of healthcare teams participating during each stage of training: pre-training, post-training, and post-implementation. The evaluation team also observed training sessions and reviewed minutes from debrief and training team meetings. Qualitative data collected from interviews, observations and document reviews were analyzed using matrix analysis with a focus on identifying potential adaptations to improve the HF-SMA training program. Data summaries were presented by the evaluation team to the training team for consideration. Training program participants found the training comprehensive, useful, and helpful; they highlighted how the trainers were experienced SMA providers who shared lessons learned. While participants found the training to be useful, opportunities for improvement, success of the virtual format and identified six adaptations: 1) the two-day training was reduced to short online modules, 2) curriculum was adapted to fit local site’s needs, 3) added periodic one-on-one coaching, 4) shifted training to focus on skills and knowledge needed for each team member requirements, 5) adapted curriculum provides for more team building during premeeting assignments, and 6) training had more information included. We offer/present an improved model for a HF-SMA training program. Future studies, potentially using comparative designs to measure success and sustainability are needed.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0310639.t003(source: https://plos.figshare.com/articles/dataset/Project_timeline_and_data_summary_/27870487)。
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