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Introduction: eHealth interventions have the potential to improve the quality of healthcare and reduce costs. However, to implement eHealth interventions successfully instruments are needed to facilitate this process. This study aims to develop an eHealth implementation guideline for implementation of eHealth interventions in daily practice., Methods: In June and July 2019 a literature research was conducted and, subsequently, a two-round Delphi study including 13 international eHealth experts in the field of healthcare, ICT & technology, and research was performed. Within the Delphi study, experts scored specific determinants using an online survey. Based on mean scores and interquartile ranges (IQRs) in the online survey, consensus between the experts was assessed., Results: A total of five domains (i.e., Technology, Acceptance, Financing, Organizational, and Legislation & Policy) with 24 corresponding determinants were assessed by the experts. After the second Delphi round, consensus was achieved on the five domains and 23 determinants (mean scores ≥ 8; IQR ≤ 2). Only for the determinant 'Evidence-Based Medicine' was no consensus reached (mean score < 8; IQR = 2). Based on the 23 determinants, the eHealth implementation guideline is developed for eHealth implementations in healthcare in order to increase their effectiveness., Conclusion: The eHealth implementation guideline developed in this study may help healthcare providers/researchers assess the determinants of successful eHealth intervention prior to the implementation of the eHealth program.

Introduction: Proximal femoral fractures (PFF) are among the most frequent fractures in older people. However, the situation of people with a PFF after hospital discharge is poorly understood. Our aim is to (1) analyse healthcare provision, (2) examine clinical and patient-reported outcomes (PROs), (3) describe clinical and sociodemographic predictors of these and (4) develop an algorithm to identify subgroups with poor outcomes and a potential need for more intensive healthcare., Methods and Analysis: This is a population-based prospective study based on individually linked survey and statutory health insurance (SHI) data. All people aged minimum 60 years who have been continuously insured with the AOK Rheinland/Hamburg and experience a PFF within 1 year will be consecutively included (SHI data analysis). Additionally, 700 people selected randomly from the study population will be consecutively invited to participate in the survey. Questionnaire data will be collected in the participants' private surroundings at 3, 6 and 12 months after hospital discharge. If the insured person considers themselves to be only partially or not at all able to take part in the survey, a proxy person will be interviewed where possible. SHI variables include healthcare provision, healthcare costs and clinical outcomes. Questionnaire variables include information on PROs, lifestyle characteristics and socioeconomic status. We will use multiple regression models to estimate healthcare processes and outcomes including mortality and cost, investigate predictors, perform non-responder analysis and develop an algorithm to identify vulnerable subgroups., Ethics and Dissemination: The study was approved by the ethics committee of the Faculty of Medicine, Heinrich-Heine-University Düsseldorf (approval reference 6128R). All participants including proxies providing written and informed consent can withdraw from the study at any time. The study findings will be disseminated through scientific journals and public information., Trial Registration Number: DRKS00012554., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)