印度南部医疗保健提供者对麻风病影响者态度评估量表的开发与验证

数据集获取（Figshare）

• 源站标题：Development and validation of a scale to assess attitudes of health care providers towards persons affected by leprosy in southern India
• DOI：10.1371/journal.pntd.0006808
• 发布日期：2018-09-25
• 文件数：3 个
• 文件总体积：83.43 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Development_and_validation_of_a_scale_to_assess_attitudes_of_health_care_providers_towards_persons_affected_by_leprosy_in_southern_India/7128710

命令行下载

curl -L -o "pntd.0006808.s001.docx" "https://ndownloader.figshare.com/files/13115024"
curl -L -o "pntd.0006808.s002.docx" "https://ndownloader.figshare.com/files/13115030"
curl -L -o "pntd.0006808.s003.xlsx" "https://ndownloader.figshare.com/files/13115033"

文件清单

• pntd.0006808.s001.docx（39.84 KB）
• pntd.0006808.s002.docx（28.50 KB）
• pntd.0006808.s003.xlsx（15.09 KB）

文件总体积 83.43 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

Introduction
Assessment of attitudes of health care professionals is important as negative attitude could constitute a major deterrent to care-seeking by persons affected by neglected tropical diseases (NTDs) such as leprosy. Leprosy continues to pose a major disease burden in India with an annual new case detection rate of 10.17 per 100,000 population. This paper reports on the development and validation of a culturally appropriate scale to measure attitude of health care providers (HCPs) towards persons affected by leprosy in Tamil Nadu, India.
Methodology/Principal findings
The Affective, Behavioural and Cognitive (ABC) model of attitudes guided the development of the scale. Steps in scale development included qualitative interviews and focus group discussions with medical officers and paramedical staff selected from high prevalence districts in Tamil Nadu, India which informed the development of the draft scale. Reviews of existing attitude questionnaires in related areas further contributed to scale development and together helped to generate a large pool of items which was then subjected to Thurston’s scaling method for selection of items from this pool. Face and content validity were obtained, following which internal consistency and test, re-test reliability were assessed. Scaling exercise resulted in 11 items being discarded from an initial pool of 38, owing to the poor agreement among experts regarding relevance. Face and content validity were good with experts endorsing relevance and applicability of items. The intra-class correlation coefficient (ICC) for test re-test reliability of the 27 item scale was 0.6 (95% CI: 0.20–0.78) indicating marginal intra-class correlation. The overall Cronbach’s alpha was 0.85 while the alphas for each of the affective and behavioural components was good at 0.78 and 0.69 respectively indicating a good degree of consistency and homogeneity between items but the alpha for the cognitive component was low at 0.53.
Conclusions
The ABC model of attitudes guided the development of the scale, ensured a mix of 27 items tapping into the three domains of Affect, Behaviour and Cognition which best explained the attitude construct

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pntd.0006808（source: https://plos.figshare.com/articles/dataset/Development_and_validation_of_a_scale_to_assess_attitudes_of_health_care_providers_towards_persons_affected_by_leprosy_in_southern_India/7128710）。