Suchergebnisse

Falls among older people are a major economic and public health problem. Due to the demographic change and aging of populations, there is an urgent need for accurate screening tools to identify those at risk to target effective falls prevention strategies. Clinical fall risk assessments are costly and time-consuming and thus cannot be performed frequently. Technologies provide means for assessing fall risk during daily living, making self-evaluations and fast methods for fall risk assessment for professional use.
This study collects and evaluates existing technological solutions for fall risk assessment including various different sensor technologies. The study also presents one easy to use solution for assessing fall risk and suggests a concept-design for integrating sensor-based solutions into the Finnish national Kanta Personal Health Record.
The optimal solution for technological fall risk assessment is still unclear. A wide implementation still requires extensive validation studies, adoption to health care processes and novel IoT -solutions for collecting large amounts of sensor data. Thorough methods should be utilised in designing the privacy and security aspects of fall risk assessment solutions, as well as different user profiles, to allow suitable interfaces and visualisations to users. It should always be clear what kind of data are collected from users and how the data are utilised. The consent of the users should also always be collected.

End-users' involvement is crucial to develop human-centered solutions; patient acceptance and endorsement by clinicians will be achieved when the features of digital solutions align with their needs and expectations.
The aim of the study was to develop the overall concept of digital solution to increase transparency, foster patient adherence, and improve patient-provider communication across the entire total hip and knee arthroplasty journey from admission to discharge, and beyond.
Two-stage iterative co-design process was used. Systematic literature reviews and qualitative interviews were conducted to understand the problem. In addition, co-creation sessions were used develop the solution for a reference implementation.
As a result, a total of 19 technical and functional requirements were identified. In addition, ten additional functional requirements were identified for future design. The results demonstrate the overall concept of a digital solution for the reference implementation. The uniqueness of the solution lies in the vision of wider integrated systems, which could offer a clinical platform for clinicians to provide patient-focused care remotely, while monitoring patients' progress closely.

Mobile health solutions for patient support have been proposed as promising and safe alternatives to usual care in adults undergoing primary total hip and knee arthroplasty. Studies of such applications, however, have produced conflicting results and only moderate- to low-quality evidence.
This study aims to evaluate the short-term effects of a digital patient journey solution on patient-reported outcomes and health care utilization in patients undergoing total hip and knee arthroplasty using a pragmatic randomized controlled trial design. Randomly allocated patients in the control arm (n = 35, 64 ± 9 years) received usual care, while patients in the intervention arm (n = 34, 62 ± 11 years) received the digital patient journey solution in addition to usual care.
The primary outcome was health-related quality of life as measured by the EuroQol EQ-5D-5L scale. Secondary outcomes included functional recovery, pain, self-efficacy, patient experience, adherence to fast-track protocol, and health care utilization. Participants were followed from a preoperative surgical visit until a postoperative follow-up visit at 6–12 weeks.
The health-related quality of life, functional recovery, pain, patient experience, adherence to the fast-track protocol, and health care utilization did not differ between the arms. During the study, however, the self-efficacy to use digital health services (p=0.027) increased in the intervention arm.
The use of the digital patient journey solution was not superior to usual care in terms of patient-reported outcomes and health care utilization. However, the solution improved the self-efficacy of patients to use digital health services, which may lead to greater demand for similar digital offerings as patient become more familiar with mobile health solutions.