Patterns of multimorbidity

基于印度麻风病患者的电子病历和定性访谈数据,研究多病共存(≥2种附加疾病)的模式、患病率及相关因素。

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2026-02-17 更新
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表格strengthening primary healthcareretrospective chart reviewrandom blood sugarpublic health challengepsychosocial burden despiteone additional conditionmental health concernsmany individuals continuingincluding clinical detailsfocus group discussionselectronic medical recordscentred care models
Patterns of multimorbidity

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-02-17
版本
v1

资源简介

Patterns of multimorbidity

【数据集背景】

本数据集源站标题为《Patterns of multimorbidity.》。源站首次发布:2026-02-17。

【数据内容】

源站原始描述:Introduction Leprosy remains a public health challenge in India, with many individuals continuing to experience physical disability, stigma, and psychosocial burden despite being cured. While co-occurrence of individual comorbidities such as diabetes and depression has been reported, the prevalence and patterns of multimorbidity among persons affected by leprosy remain poorly documented. Methods We conducted a mixed-methods study across six tertiary referral hospitals of The Leprosy Mission in I…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 2.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pntd.0013503.t002。

【主题与分类】

源站学科分类:Biochemistry、Biotechnology、Biological Sciences not elsewhere classified、Developmental Biology、Science Policy、Infectious Diseases。主题标签:strengthening primary healthcare、retrospective chart review、random blood sugar、public health challenge、psychosocial burden despite、one additional condition、mental health concerns、many individuals continuing、including clinical details、focus group discussions。

【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://plos.figshare.com/articles/dataset/_p_Patterns_of_multimorbidity_p_/31357878

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

规范引用:Darlong, Joydeepa; Govindasamy, Karthikeyan; Gill, Paramjit (2026). Patterns of multimorbidity.. PLOS Neglected Tropical Diseases. Dataset

【使用注意】

· 源站最后修改于 2026-02-20,引用时请注意版本时效。

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

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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。

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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 "Table 2.xls" "https://ndownloader.figshare.com/files/61962510"

文件清单

  • Table 2.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

Introduction
Leprosy remains a public health challenge in India, with many individuals continuing to experience physical disability, stigma, and psychosocial burden despite being cured. While co-occurrence of individual comorbidities such as diabetes and depression has been reported, the prevalence and patterns of multimorbidity among persons affected by leprosy remain poorly documented.
Methods
We conducted a mixed-methods study across six tertiary referral hospitals of The Leprosy Mission in India during 2021–2022. Quantitative data were extracted from electronic medical records of 10,428 adults affected by leprosy, including clinical details, random blood sugar, haemoglobin, cataract assessment, and wellbeing status measured using the WHO-5 index. Multimorbidity was defined as the presence of ≥2 conditions in addition to leprosy. Logistic regression was used to identify associated factors. Qualitative data were collected through focus group discussions (FGDs) with 16 persons affected by leprosy and 14 healthcare providers and analyzed thematically.
Results
Leprosy alone was present in 81.9% of participants, while 16.4% had one additional condition, and 1.7% experienced multimorbidity. Diabetes was the most frequent comorbidity (9.3%), followed by poor wellbeing (5.6%) and cataract (1.5%). Increasing age, male gender, and disability were significantly associated with multimorbidity. FGDs revealed limited awareness of multimorbidity, challenges in accessing integrated care, financial barriers, and absence of flexible guidelines for management.
Discussion & conclusion
Although relatively uncommon (1.7%), multimorbidity among persons with leprosy poses substantial challenges. Diabetes, mental health concerns, and malnutrition highlight the need for integrated, person-centred care models. Strengthening primary healthcare, enhancing screening, and developing multimorbidity-sensitive guidelines are essential to improve outcomes, reduce stigma, and promote holistic wellbeing in this marginalized population.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pntd.0013503.t002(source: https://plos.figshare.com/articles/dataset/_p_Patterns_of_multimorbidity_p_/31357878)。

数据缺失?

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