Study on Patient Acceptance and Engagement of Timely Tailored Motivational Messages Sent by a Health Recommender System and Delivered Via a Mobile App for Smoking Cessation
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 120
- 试验地点
- 1
- 主要终点
- Subjective quality of the health recommender system
研究概览
简要总结
Patients attending the smoking cessation programme at the Virgen del Rocío University Hospital under the SoLoMo clinical trial of the SmokeFreeBrain project and provided with the SoLoMo mobile app will be observed for one year. This mobile app which sends the patients tailored health motivational messages selected by a health recommender system, and based on their user profile retrieved from an electronic health record. Patients' messages feedback and interactions with the app will be analyzed and evaluated following an observational prospective methodology to see whether patients like the messages, and measure the patient engagement with the health recommender system.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients must be taken from the the smoking cessation unit of the Virgen del Rocio University Hospital (Seville, Spain)
- •Patients must be willing to start the treatment to quit smoking
- •Patients must own an Android smartphone and be able to interact with it
- •Patients must be willing to and install the "Libre de Humos" smoking cessation app recommended by the doctor in the SmokeFreeBrain study.
- •Patients must sign an informed consent
排除标准
- •Patients have known previous adverse effects on the pharmacological treatment included in the study (Bupropion & Varenicline)
结局指标
主要结局
Subjective quality of the health recommender system
时间窗: Up to 18 months
The subjective quality of the health recommender systems is determined by eighteen questions which will be answered using a 1 to 5 point Likert scale by all patients finishing their smoking cessation programme.
Engagement at individual level
时间窗: Up to 18 months
Engagement at individual level will be assessed based on the rate of read messages by the patients. This is calculated as the quotient between the messages the patients have read, and the total number of messages the system has sent to the patients. This metric will be assessed throughout the observation until its end.
Objective quality of the health recommender system
时间窗: Up to 18 months
The objective quality of the health recommender system is calculated by measuring its precision. The precision of the health recommender system is the relation between the number of messages patients have rated with positive and/or positive and neutral feedback the first month (baseline), and all subsequent months.
Engagement at aggregated level - Mobile application rolling retention
时间窗: Up to 18 months
The percentage of users still active N days after installation. This is a ratio of the number of users whose last day of activity is past day N to the number of users who could have been active on day N. This metric will be assessed throughout the observation until its end.
Engagement at aggregated level - Mobile application session length distribution
时间窗: Up to 18 months
The session length is defined as the length of time between the start of the application event and the end of the application event. The session length determines the engagement as it is relevant to know how much time patients spend in the app per session. This metric will be assessed throughout the observation until its end.
Engagement at aggregated level - Mobile application usage frequency
时间窗: Up to 18 months
The frequency of use is a measure of how often each unique patient used the app within a given time interval. This metric will be assessed throughout the observation until its end.
Engagement at aggregated level - Number of sessions per user
时间窗: Up to 18 months
A session is one use of the mobile application by a patient. This begins when the application is launched and ends when the application is terminated. This metric will be assessed throughout the observation until its end.
Engagement at aggregated level - Return rate
时间窗: Up to 18 months
Return rate measures the percentage of patients who return to the app on a specific time after installation. It is measured by cohort group - that is, based on when patients first opened the app. It is calculated as the ratio of the number of users active on a given period to the size of the cohort. This metric will be assessed throughout the observation until its end.
次要结局
未报告次要终点
研究者
Santiago Hors-Fraile
Principal Investigator
University of Seville