Digital health technologies such as mobile health (mHealth) are considered to have the potential to support the needs of older adults with cognitive impairment. However, the evidence for improving health with the use of mHealth applications is of limited quality. Few studies have reported on the consequences of technology use concerning the older adults’ quality of life. The purpose of this study was to describe perceptions of mHealth and its impact on health-related quality of life (HRQoL) among older adults with cognitive impairment. The study was conducted using a qualitative design with a phenomenographic approach. A total of 18 older participants with cognitive impairment were interviewed. The interviews were analyzed in order to apply phenomenography in a home-care context. The results showed variations in the older adults’ perceptions that were comprised within three categories of description; Require technology literacy, Maintain social interaction, and Facilitate independent living. In conclusion, the development and design of mHealth technologies need to be tailored based on older adults´ needs in order to be understood and perceived as useful in a home-care context. For mHealth to support HRQoL, healthcare should be provided in a way that encourages various forms of communication and interaction.

Aim This study aimed to identify factors affecting health‐related quality of life (HRQoL) of older adults with cognitive impairment and to describe the association of these factors with different components of HRQoL. Design A cross‐sectional, descriptive research design was used. Methods Data were collected from 247 individuals aged 60 years and older from a Swedish longitudinal cohort study. The Short‐Form Health Survey‐12 (SF‐12) and EuroQol (EQ‐5D) were used to assess HRQoL. The data were analysed using descriptive and comparative statistics. Results The present study identified several factors that influenced HRQoL of older adults with cognitive impairment. The results of a multiple logistic regression analysis revealed that the following factors were associated with physical and mental HRQoL: dependency in activities of daily living (ADL), receiving informal care and feelings of loneliness and pain.

To facilitate communications between care levels and improve coordination during hospital discharges, there is great potential in using information and communication technology systems, because they can significantly help to deter unnecessary readmissions. However, there is still a lack of knowledge about how often nurses use information and communication technology and the indicators related to its use. The aims of this study were to describe the indicators related to nurses' use of an information and communication technology system for collaboration between care levels and to estimate whether the level of use can be related to nurses' perceptions of the information and communication technology system's contribution to improve coordination during hospital discharges. A quantitative survey of 37 nurses from 11 primary healthcare centers was performed in a county in southern Sweden. The data were analyzed using descriptive and comparative analyses. The results showed that perceptions concerning the information and communication technology system's usability and time consumption differed between nurses who used the system and those who did not. Simultaneously, the nurses were rather unaware of the ability of the information and communication technology system to improve coordination during patient discharges.

Background: Quality of life (QoL) is affected even at early stages in older adults with cognitive impairment. The use of mobile health (mHealth) technology can offer support in daily life and improve the physical and mental health of older adults. However, a clarification of how mHealth technology can be used to support the QoL of older adults with cognitive impairment is needed. Objective: To investigate factors affecting mHealth technology use in relation to self-rated QoL among older adults with cognitive impairment. Methods: A cross-sectional research design was used to analyse mHealth technology use and QoL in 1,082 older participants. Baseline data were used from a multi-centered randomized controlled trial including QoL, measured by the Quality of Life in Alzheimer’s Disease (QoL-AD) Scale, as the outcome variable. Data were analyzed using logistic regression models. Results: Having moderately or high technical skills in using mHealth technology and using the internet via mHealth technology on a daily or weekly basis was associated with good to excellent QoL in older adults with cognitive impairment. Conclusions: The variation in technical skills and internet use among the participants can be interpreted as an obstacle for mHealth technology to support QoL.