Search Articles

View query in Help articles search

Search Results (1 to 10 of 4712 Results)

Download search results: CSV END BibTex RIS


Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study

Development of Digital Strategies for Reducing Sedentary Behavior in a Hybrid Office Environment: Modified Delphi Study

Activity trackers (20/27, 74%; median 8, MAD-M 1.41); workstation accessories (19/27, 70%; median 8, MAD-M 1.59); and relocation of home office supplies such as the bin, printer, or water source (19/27, 70%; median 8, MAD-M 1.30) were the 3 work strategies considered as highly feasible for reducing SB when working from home. Active workstations equipped with treadmills were reported to be unfeasible (19/27, 70%; median 2, MAD-M 1.48).

Iris Parés-Salomón, Cristina Vaqué-Crusellas, Alan Coffey, Bette Loef, Karin I Proper, Anna M Señé-Mir, Anna Puig-Ribera, Kieran P Dowd, Judit Bort-Roig

JMIR Hum Factors 2025;12:e59405

Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study

Choosing the Best Digital Health Literacy Measure for Research: Mixed Methods Study

Additional sources HL Atlas [13], HL Europe [14], Policy Précis by Euro Health Net [15], e Health Action Plan 2012-2020 [16], Horizon 2020 [17], IC-Health [18], Digital Health Europe [19], HL in the Nordic Countries [20], DHE’s practice catalogue [21], European HL Survey [22], Health Literacy Tool Shed [23], The HLS-EU questionnaire [24], The M-POHL network action [25], WHO HL Road Map [26] The systematic review tool Covidence was used to manage the review process [27].

Charlotte Brun Thorup, Mika Uitto, Kerryn Butler-Henderson, Sarah Wamala-Andersson, Merja Hoffrén-Mikkola, Diana Schack Thoft, Lisa Korsbakke Emtekær Hæsum, Gabriela Irrazabal, Laura Pruneda González, Katja Valkama

J Med Internet Res 2025;27:e59807

Development of a Predictive Dashboard With Prescriptive Decision Support for Falls Prevention in Residential Aged Care: User-Centered Design Approach

Development of a Predictive Dashboard With Prescriptive Decision Support for Falls Prevention in Residential Aged Care: User-Centered Design Approach

For this purpose, we used power query M language, DAX, and R programming. Risk calculations of the prediction model were carried out in this stage using R programming. In the fourth layer, the information requirement of stakeholders is satisfied by visualization and reporting. The front end of the dashboard includes five views namely organizational falls, facility falls, resident falls, medications in detail, and recommendation panel.

S Sandun Malpriya Silva, Nasir Wabe, Amy D Nguyen, Karla Seaman, Guogui Huang, Laura Dodds, Isabelle Meulenbroeks, Crisostomo Ibarra Mercado, Johanna I Westbrook

JMIR Aging 2025;8:e63609