共 23 条
A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint
被引:41
|作者:
Miller, Sascha
[1
]
Ainsworth, Ben
[2
]
Yardley, Lucy
[1
,3
]
Milton, Alex
[3
]
Weal, Mark
[4
]
Smith, Peter
[5
]
Morrison, Leanne
[1
,6
]
机构:
[1] Univ Southampton, Dept Psychol, Ctr Clin & Community Applicat Hlth Psychol, Highfield Campus, Southampton SO17 1BJ, Hants, England
[2] Univ Bath, Dept Psychol, Bath, Avon, England
[3] Univ Bristol, Sch Psychol Sci, Bristol, Avon, England
[4] Univ Southampton, Sch Elect & Comp Sci, Web & Internet Sci Grp, Southampton, Hants, England
[5] Univ Southampton, Sch Econ Social & Polit Sci, Dept Social Stat & Demog, Southampton, Hants, England
[6] Univ Southampton, Sch Med, Primary Care & Populat Sci, Southampton, Hants, England
基金:
英国经济与社会研究理事会;
英国工程与自然科学研究理事会;
关键词:
behavioral research;
internet;
health;
patient engagement;
data analysis;
BEHAVIOR-CHANGE;
PRIMIT;
D O I:
10.2196/10966
中图分类号:
R19 [保健组织与事业(卫生事业管理)];
学科分类号:
摘要:
Trials of digital interventions can yield extensive, in-depth usage data, yet usage analyses tend to focus on broad descriptive summaries of how an intervention has been used by the whole sample. This paper proposes a novel framework to guide systematic, fine-grained usage analyses that better enables understanding of how an intervention works, when, and for whom. The framework comprises three stages to assist in the following: (1) familiarization with the intervention and its relationship to the captured data, (2) identification of meaningful measures of usage and specifying research questions to guide systematic analyses of usage data, and (3) preparation of datasheets and consideration of available analytical methods with which to examine the data. The framework can be applied to inform data capture during the development of a digital intervention and/or in the analysis of data after the completion of an evaluation trial. We will demonstrate how the framework shaped preparation and aided efficient data capture for a digital intervention to lower transmission of cold and flu viruses in the home, as well as how it informed a systematic, in-depth analysis of usage data collected from a separate digital intervention designed to promote self-management of colds and flu. The Analyzing and Measuring Usage and Engagement Data (AMUsED) framework guides systematic and efficient in-depth usage analyses that will support standardized reporting with transparent and replicable findings. These detailed findings may also enable examination of what constitutes effective engagement with particular interventions.
引用
收藏
页数:13
相关论文