TY - JOUR
T1 - Factors That Influence the Use of eHealth in Home Care
T2 - Scoping Review and Cross-sectional Survey
AU - Mathijssen, Elke
AU - de Lange, Wendela
AU - Bleijenberg, Nienke
AU - van Houwelingen, Thijs
AU - Jaarsma, Tiny
AU - Trappenburg, Jaap
AU - Westland, Heleen
N1 - Funding Information:
This study resulted from funding from ZonMw (project number 516004032). ZonMw did not play any role in the study conception and design, collection of data, analysis and interpretation of data, or decision to submit the manuscript for publication.
Publisher Copyright:
© Elke Mathijssen, Wendela de Lange, Nienke Bleijenberg, Thijs van Houwelingen, Tiny Jaarsma, Jaap Trappenburg, Heleen Westland.
PY - 2023/3/9
Y1 - 2023/3/9
N2 - BACKGROUND: In home care, eHealth implementation requires health care professionals and home care clients to change their behavior because they have to incorporate the use of eHealth into their daily routines. Knowledge of factors that influence the use of eHealth in home care is needed to optimize implementation strategies. However, a comprehensive overview of such factors is lacking.OBJECTIVE: The aims of this study were to (1) provide insight into the types of eHealth that are used and preferred in home care and (2) identify factors that influence the use of eHealth in home care according to health care professionals and home care clients.METHODS: A scoping review and online, cross-sectional survey were conducted sequentially. The survey was conducted among Dutch health care professionals with a nursing background who were working for a home care organization at the time. The capability, opportunity, motivation, behavior (COM-B) model, which posits that for any behavior (B) to occur, a person must have the capability (C), opportunity (O), and motivation (M) to perform the behavior, was used to identify influencing factors. The use of a theoretical model may contribute to a better understanding of how to achieve and sustain behavior change in clinical practice.RESULTS: We included 30 studies in the scoping review. The most frequently studied type of eHealth was a telecommunication/telemonitoring system. The survey was completed by 102 participants. The most frequently used types of eHealth were electronic health records, social alarms, and online client portals. A health app was the most frequently preferred type of eHealth. We identified 22 factors that influence the use of eHealth in home care according to health care professionals and home care clients. Influencing factors were organized into the components of the COM-B model, namely capability (n=6), opportunity (n=10), and motivation (n=6). We found that there is no single influencing factor that is key to the complexity of eHealth implementation.CONCLUSIONS: Different types of eHealth are used, and many types of eHealth are preferred by health care professionals. The identified factors that influence the use of eHealth in home care relate to all components of the COM-B model. These factors need to be addressed and embedded in implementation strategies of eHealth to optimize the use of eHealth in home care.
AB - BACKGROUND: In home care, eHealth implementation requires health care professionals and home care clients to change their behavior because they have to incorporate the use of eHealth into their daily routines. Knowledge of factors that influence the use of eHealth in home care is needed to optimize implementation strategies. However, a comprehensive overview of such factors is lacking.OBJECTIVE: The aims of this study were to (1) provide insight into the types of eHealth that are used and preferred in home care and (2) identify factors that influence the use of eHealth in home care according to health care professionals and home care clients.METHODS: A scoping review and online, cross-sectional survey were conducted sequentially. The survey was conducted among Dutch health care professionals with a nursing background who were working for a home care organization at the time. The capability, opportunity, motivation, behavior (COM-B) model, which posits that for any behavior (B) to occur, a person must have the capability (C), opportunity (O), and motivation (M) to perform the behavior, was used to identify influencing factors. The use of a theoretical model may contribute to a better understanding of how to achieve and sustain behavior change in clinical practice.RESULTS: We included 30 studies in the scoping review. The most frequently studied type of eHealth was a telecommunication/telemonitoring system. The survey was completed by 102 participants. The most frequently used types of eHealth were electronic health records, social alarms, and online client portals. A health app was the most frequently preferred type of eHealth. We identified 22 factors that influence the use of eHealth in home care according to health care professionals and home care clients. Influencing factors were organized into the components of the COM-B model, namely capability (n=6), opportunity (n=10), and motivation (n=6). We found that there is no single influencing factor that is key to the complexity of eHealth implementation.CONCLUSIONS: Different types of eHealth are used, and many types of eHealth are preferred by health care professionals. The identified factors that influence the use of eHealth in home care relate to all components of the COM-B model. These factors need to be addressed and embedded in implementation strategies of eHealth to optimize the use of eHealth in home care.
KW - digital health
KW - eHealth
KW - home care
KW - implementation
KW - influencing factors
KW - mHealth
KW - mobile applications
KW - telecare
KW - telehealth
KW - telemedicine
UR - http://www.scopus.com/inward/record.url?scp=85150001086&partnerID=8YFLogxK
U2 - 10.2196/41768
DO - 10.2196/41768
M3 - Article
C2 - 36892935
SN - 1438-8871
VL - 25
JO - Journal of Medical Internet Research
JF - Journal of Medical Internet Research
M1 - e41768
ER -