Suchergebnisse

Introduction & BackgroundFood retailers' transaction data are increasingly used for research. Unlike many other digital footprints, the representativeness of automatically accumulating food purchase data as such is less biased as food is consumed by all individuals. However, the process of obtaining individual/household level data requires consents from the consumers and, thus, may create selection bias.
Objectives & ApproachThe aim of this work is to describe the recruitment process and participant characteristics in the Finnish LoCard study to evaluate the selection mechanism.
The Finnish LoCard study comprises two cohorts collected in 2018 and 2023 with 47,066 and 42,340 participants, respectively, who have consented to release their food purchase data for research. The study collaborates with S group, the leading retailer in Finland with 47% market share. Members from their loyalty card program were invited to consent to their purchase data being used for research and voluntarily respond to a background questionnaire.
Relevance to Digital FootprintsOur analyses may provide further insights into the selectivity of consumers who are willing to share their purchase data for research purposes.
ResultsFor both LoCard cohorts, all loyalty card holders (n~2.3M) were considered. In LoCard I, the invitations were sent to 1.1M primary card holders with confirmed email addresses, of whom 47,066 (3.9%) participated and consented to their purchase data being used for research. In this cohort, women, middle-aged individuals, individuals with higher education, and employed individuals were overrepresented whereas the retired individuals, those with lower education and individuals with children were underrepresented. In the LoCard II, loyalty card holders (n ~2.24M) with an email address were invited. Of these, 852,009 (37.7%) opened the invitation link, and a further 42,340 provided the consent, resulting in response rate of 1.9% from the original population and 4.9% from those reacting to the email invitation. Data on the characteristics of LoCard II participants are not available yet but will be presented in the conference presentation.
Conclusions & ImplicationsThis work investigates selection mechanisms in the Finnish LoCard study and evaluates the feasibility of reaching underrepresented groups in health studies, such as socioeconomically disadvantaged groups or young men, through a combination of loyalty card program and email invitations.

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.