文章摘要汇总
包含28篇关于子宫颈癌筛查整合到低收入和中等收入国家初级保健服务的文献摘要数据集。
基本信息
资源简介
文章摘要汇总
【数据集背景】
本数据集源站标题为《Summary of the articles.》。源站首次发布：2024-05-14。
【数据内容】
源站原始描述：Cervical cancer is a prevalent disease among women, especially in low- and middle-income countries (LMICs), where most deaths occur. Integrating cervical cancer screening services into healthcare facilities is essential in combating the disease. Thus, this review aims to map evidence related to integrating cervical cancer screening into existing primary care services and identify associated barriers and facilitators in LMICs. The scoping review employed a five-step framework as proposed by Arkse…
【数据结构与技术规格】
文件数 1 个，合计 17.92 KB。Table 2.xls：application/vnd.ms-excel，17.92 KB。数据集 DOI：10.1371/journal.pgph.0003183.t002。
【主题与分类】
源站学科分类：Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Sociology、Cancer、Infectious Diseases。主题标签：reviewed studies showed、preventive oncology policy、maternity infant care、high client loads、gaps could strengthen、cervical cancer screening、allied health literature、scoping review employed、map evidence related、gynecology outpatient departments。
【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/Summary_of_the_articles_/25819254
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Kassa, Rahel Nega; Shifti, Desalegn Markos; Alemu, Kassahun; Omigbodun, Akinyinka O. (2024). Summary of the articles.. PLOS Global Public Health. Dataset
下载信息
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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。
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公开数据集受托下载与技术交付服务。
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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：Summary of the articles.
- DOI：10.1371/journal.pgph.0003183.t002
- 发布日期：2024-05-14
- 文件数：1 个
- 文件总体积：17.92 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Summary_of_the_articles_/25819254
命令行下载
curl -L -o "Table 2.xls" "https://ndownloader.figshare.com/files/46329555"
文件清单
Table 2.xls（17.92 KB）
文件总体积 17.92 KB（源站 API 实测）。
数据说明
Cervical cancer is a prevalent disease among women, especially in low- and middle-income countries (LMICs), where most deaths occur. Integrating cervical cancer screening services into healthcare facilities is essential in combating the disease. Thus, this review aims to map evidence related to integrating cervical cancer screening into existing primary care services and identify associated barriers and facilitators in LMICs. The scoping review employed a five-step framework as proposed by Arksey and O’Malley. Five databases (MEDLINE, Maternity Infant Care, Scopus, Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Web of Science) were systematically searched. Data were extracted, charted, synthesized, and summarised. A total of 28 original articles conducted in LMICs from 2000 to 2023 were included. Thirty-nine percent of the reviewed studies showed that cervical cancer screening (CCS) was integrated into HIV clinics. The rest of the papers revealed that CCS was integrated into existing reproductive and sexual health clinics, maternal and child health, family planning, well-baby clinics, maternal health clinics, gynecology outpatient departments, and sexually transmitted infections clinics. The cost-effectiveness of integrated services, promotion, and international initiatives were identified as facilitators while resource scarcity, lack of skilled staff, high client loads, lack of preventive oncology policy, territorial disputes, and lack of national guidelines were identified as barriers to the services. The evidence suggests that CCS can be integrated into healthcare facilities in LMICs, in various primary care services, including HIV clinics, reproductive and sexual health clinics, well-baby clinics, maternal health clinics, and gynecology OPDs. However, barriers include limited health system capacity, workload, waiting times, and lack of coordination. Addressing these gaps could strengthen the successful integration of CCS into primary care services and improve cervical cancer prevention and treatment outcomes.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pgph.0003183.t002（source: https://plos.figshare.com/articles/dataset/Summary_of_the_articles_/25819254）。
数据缺失？
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