手术伤口感染监测中自我护理技术的使用:整合性综述

整合性综述原始数据,综合移动应用等技术用于手术伤口感染自我护理监测的证据,涵盖9项研究。

SciELO journalsSciELO journals
DataCite Commons
2022-05-30 更新
浏览 22
文本、表格Self CareSurgical WoundPublic Health SurveillanceSurgical Wound InfectionTechnology
Use of technology for self-care in surgical wound infection surveillance: integrative review

基本信息

模态
文本、表格
大小
0.000471603 GB
许可
CC BY 4.0
创建/更新时间
2022-05-30
版本
v1

资源简介

手术伤口感染监测中自我护理技术的使用:整合性综述

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 6 个文件、合计 471.60 KB,主题涵盖 Self Care、Surgical Wound、Public Health Surveillance、Surgical Wound Infection、Technology,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Use of technology for self-care in surgical wound infection surveillance: integrative review》。配套论文《Use of technology for self-care in surgical wound infection surveillance: integrative review》发表于 Revista Brasileira de Enfermagem(2022),DOI:10.1590/0034-7167-2021-0208。源站首次发布:2022-05-30。

【数据内容】

源站原始描述:ABSTRACT Objectives: to synthesize knowledge about technology for self-care in surgical wound infection surveillance. Methods: integrative review conducted in CINAHL, Embase, LILACS, PubMed, Scopus and Web of Science databases with the descriptors “surgical wound infection” and “self-care”, in addition to manual search in the references of the included studies. The selection and evaluation of the methodological quality of the studies and data collection were performed by two independent reviewer…

中文译文(机器翻译,仅供快速理解,请以原文为准):摘要 目的:综合关于手术伤口感染监测中自我护理技术的知识。方法:在CINAHL、Embase、LILACS、PubMed、Scopus和Web of Science数据库中进行整合性综述,使用描述符“surgical wound infection”和“self-care”,并对纳入研究的参考文献进行

【数据结构与技术规格】

文件数 6 个,合计 471.60 KB。数据集 DOI:10.6084/m9.figshare.19928559.v1。

【主题与分类】

源站学科分类:Nursing not elsewhere classified。主题标签:Self Care、Surgical Wound、Public Health Surveillance、Surgical Wound Infection、Technology。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://scielo.figshare.com/articles/dataset/Use_of_technology_for_self-care_in_surgical_wound_infection_surveillance_integrative_review/19928559

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

规范引用:Oliveira, Lia Pacheco de; Lucato, Ana Laura Serra; Fernandes, Daiane Rubinato; Vieira, Leticia Genova; Santos, Bruna Nogueira dos; Silveira, Renata Cristina de Campos Pereira (2022). Use of technology for self-care in surgical wound infection surveillance: integrative review. SciELO journals. Datase…

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

官方服务

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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 "643468ec480f61d0e1c9174f40c5a7b9b834c908.tif" "https://ndownloader.figshare.com/files/35437791"
curl -L -o "e33c553ca74a3b9380d730f6967441211fe51bb8.png" "https://ndownloader.figshare.com/files/35437794"
curl -L -o "6cbcf4ba3a301ab80a2d971f5320044b6060d35e.jpg" "https://ndownloader.figshare.com/files/35437797"
curl -L -o "1541e6c91481d878170fb003505e30bd707da23e.tif" "https://ndownloader.figshare.com/files/35437800"
curl -L -o "7dd46b638d4b0b380aadcc40fc11d9217409f5fe.png" "https://ndownloader.figshare.com/files/35437803"
curl -L -o "c926f745676ddaa9f06e86fed14b7f952a179666.jpg" "https://ndownloader.figshare.com/files/35437806"

文件清单

  • 643468ec480f61d0e1c9174f40c5a7b9b834c908.tif(141.52 KB)
  • e33c553ca74a3b9380d730f6967441211fe51bb8.png(84.16 KB)
  • 6cbcf4ba3a301ab80a2d971f5320044b6060d35e.jpg(3.87 KB)
  • 1541e6c91481d878170fb003505e30bd707da23e.tif(148.68 KB)
  • 7dd46b638d4b0b380aadcc40fc11d9217409f5fe.png(89.73 KB)
  • c926f745676ddaa9f06e86fed14b7f952a179666.jpg(3.66 KB)

文件总体积 471.60 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

ABSTRACT Objectives: to synthesize knowledge about technology for self-care in surgical wound infection surveillance. Methods: integrative review conducted in CINAHL, Embase, LILACS, PubMed, Scopus and Web of Science databases with the descriptors “surgical wound infection” and “self-care”, in addition to manual search in the references of the included studies. The selection and evaluation of the methodological quality of the studies and data collection were performed by two independent reviewers; conflicts were resolved by a third reviewer. Results: nine primary studies were included, published between 2011 and 2019. Six are cross-sectional, two are randomized clinical trials, and one is a case report. Mobile, text messaging, and imaging applications, computer software, assessments, and data storage capacity stand out. Conclusions: the technologies identified for self-care in surgical wound infection surveillance were the creation and use of mHealth and the use of health apps on mobile devices. Effective technologies in surveillance of surgical wound infection that enable rapprochement with the healthcare team, encourage a greater number of surgical wound assessments, enhance self-care actions, and decrease patient anxiety. Technology is also a monitored and recorded form of patient care, one of the main axes of infection surveillance.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19928559.v1(source: https://scielo.figshare.com/articles/dataset/Use_of_technology_for_self-care_in_surgical_wound_infection_surveillance_integrative_review/19928559)。

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