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摘要:
Dropout from medical attendance is a well-recognized issue among patients with human immunodeficiency virus (HIV) infection. We interviewed 23 HIV-positive patients and used text mining methods to analyse the risk factors for dropout. Fifteen patients continued medical attendance and eight patients dropped out of medical attendance. Categories were extracted from the interview data of the patients who continued medical attendance (i.e., the continuity group) and the patients who dropped out of medical care (i.e., the discontinuity group). Categories of the continuity group included needing to take a day off for medical attendance, scheduling each appointment, writing down medical appointments, being grateful for the medical care, and 12 additional categories. Categories of discontinuity group included forgetting the dates of medical appointments, not needing to get a day off for medical attendance, allowing aid for medical care to expire, and 10 additional categories. The discontinuity group had poorer schedule management than the continuity group, which caused them to forget their next medical appointments and delay the renewal of aid for medical care. Thus, medical staff may be able to prevent dropouts by ensuring that patients record the dates of their medical appointments.
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篇名 Poor Schedule Management Leads to Discontinuity of Medical Attendance among Patients Infected with HIV
来源期刊 健康(英文) 学科 医学
关键词 MEDICAL ATTENDANCE Human IMMUNODEFICIENCY Virus Text Mining FACE-TO-FACE Interview
年,卷(期) 2019,(3) 所属期刊栏目
研究方向 页码范围 277-288
页数 12页 分类号 R73
字数 语种
DOI
五维指标
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研究主题发展历程
节点文献
MEDICAL
ATTENDANCE
Human
IMMUNODEFICIENCY
Virus
Text
Mining
FACE-TO-FACE
Interview
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
健康(英文)
月刊
1949-4998
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
328
总下载数(次)
0
总被引数(次)
0
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