OBJECTIVES: To study sensor monitoring (use of a sensor network placed in the home environment to observe individuals' daily functioning (activities of daily living and instrumental activities of daily living)) as a method to measure and support daily functioning for older people living independently at home.DESIGN: Systematic review.SETTING: Participants' homes.PARTICIPANTS: Community-dwelling individuals aged 65 and older.MEASUREMENTS: A systematic search in PubMed, Embase, PsycINFO, INSPEC, and The Cochrane Library was performed for articles published between 2000 and October 2012. All study designs, studies that described the use of wireless sensor monitoring to measure or support daily functioning for independently living older people, studies that included community-dwelling individuals aged 65 and older, and studies that focused on daily functioning as a primary outcome measure were included.RESULTS: Seventeen articles met the inclusion criteria. Nine studies used sensor monitoring solely as a method for measuring daily functioning and detecting changes in daily functioning. These studies focused on the technical investigation of the sensor monitoring method used. The other studies investigated clinical applications in daily practice. The sensor data could enable healthcare professionals to detect alert conditions and periods of decline and could enable earlier intervention, although limited evidence of the effect of interventions was found in these studies because of a lack of high methodological quality.CONCLUSION: Studies on the effectiveness of sensor monitoring to support people in daily functioning remain scarce. A road map for further development is proposed.
Objective: The participation of students from both undergraduate medical education (UGME) and postgraduate medical education (PGME) in independent patient care contributes to the development of knowledge, skills and the professional identity of students. A continuing collaboration between students and their preceptor might contribute to opportunities for students to independently provide patient care. In this systematic review, we aim to evaluate whether longitudinal training models facilitate the independent practice of students and what characteristics of longitudinal training models contribute to this process. Method: This systematic review was performed according to the PRISMA guidelines. In May 2020, we performed a search in three databases. Articles evaluating the impact of longitudinal training models on the independent practice of students from both UGME and PGME programmes were eligible for the study. A total of 68 articles were included in the study. Quality of the included studies was assessed using the Quality Assessment Tool for Studies with Diverse Designs (QATSDD).Results: Both UGME and PGME students in longitudinal training models are more frequently allowed to provide patient care independently when compared with their block model peers, and they also feel better prepared for independent practice at the end of their training programme. Several factors related to longitudinal training models stimulate opportunities for students to work independently. The most important factors in this process are the longitudinal relationships with preceptors and with the health care team. Conclusion: Due to the ongoing collaboration between students and their preceptor, they develop an intensive and supportive mutual relationship, allowing for the development of a safe learning environment. As a result, the professional development of students is fostered, and students gradually become part of the health care team, allowing them the opportunity to engage in independent patient care.
Telemonitoring is regarded as a means to maintain a relatively high quality of life for independently living elderly. This paper discusses a requirements study of a system to, foremost, telemonitor activities of daily living (ADL) of the elderly. The study utilizes literature and in-depth interviews with medical specialists. From the interview results can be concluded that, besides from elderly’s own input, monitoring different aspects of movement, food consumption and sleep pattern are regarded as most beneficial to the medical specialists.
