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      Digital Health in Cardiology: Time for Action

      a , b , c , *

      Cardiology

      S. Karger AG

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          Most cited references 10

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          The effectiveness of various computer-based interventions for patients with chronic pain or functional somatic syndromes: A systematic review and meta-analysis

          Computer-based interventions target improvement of physical and emotional functioning in patients with chronic pain and functional somatic syndromes. However, it is unclear to what extent which interventions work and for whom. This systematic review and meta-analysis (registered at PROSPERO, 2016: CRD42016050839) assesses efficacy relative to passive and active control conditions, and explores patient and intervention factors. Controlled studies were identified from MEDLINE, EMBASE, PsychInfo, Web of Science, and Cochrane Library. Pooled standardized mean differences by comparison type, and somatic symptom, health-related quality of life, functional interference, catastrophizing, and depression outcomes were calculated at post-treatment and at 6 or more months follow-up. Risk of bias was assessed. Sub-group analyses were performed by patient and intervention characteristics when heterogeneous outcomes were observed. Maximally, 30 out of 46 eligible studies and 3,387 participants were included per meta-analysis. Mostly, internet-based cognitive behavioral therapies were identified. Significantly higher patient reported outcomes were found in comparisons with passive control groups (standardized mean differences ranged between -.41 and -.18), but not in comparisons with active control groups (SMD = -.26 - -.14). For some outcomes, significant heterogeneity related to patient and intervention characteristics. To conclude, there is a minority of good quality evidence for small positive average effects of computer-based (cognitive) behavior change interventions, similar to traditional modes. These effects may be sustainable. Indications were found as of which interventions work better or more consistently across outcomes for which patients. Future process analyses are recommended in the aim of better understanding individual chances of clinically relevant outcomes.
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            Pilot testing an app-based stress management intervention for cancer survivors

            Abstract Psychosocial eHealth intervention programs for cancer survivors are still in their infancy, with inconsistent findings so far in the scientific literature. The aim of this study was to explore system use, usefulness, ease of use, and preliminary effects of Stress Proffen, an app-based cognitive-behavioral stress management intervention for patients with cancer. A feasibility pilot project tested the intervention with cancer survivors (N = 25). The intervention contained (a) one face-to-face introduction session, (b) 10 app-based modules with stress management educational material and exercises, and (c) one follow-up phone call. Post-intervention interviews were conducted and user log-data were extracted. Outcome measures—Perceived Stress Scale (PSS), Anxiety and Depression (Hospital Anxiety and Depression Scale [HADS]), Health-Related Quality of Life (HRQoL; SF-36), and Self-Regulatory Fatigue (SRF-18)—were completed at baseline and post-intervention. Participants were primarily women (84%), age 34–71 (mean 48) and represented a variety of cancer diagnoses (majority breast cancer: 40%). Twenty-two participants completed all (pre–post) questionnaires. Sixteen participants (67%) completed at least 7 of 10 modules within the 8-week study period. Post-intervention interviews described StressProffen as providing a new, appreciated, and easily accessible stress management tool for the cancer survivors. Dependent/paired t-tests showed significant pre–post intervention effects with significant decrease in stress (p = .008), anxiety (p = .019), and self-regulatory fatigue (p = .025), and improved HRQoL (Role Physical, General Health, Vitality, and Role Emotional, all p’s <.01). App-based stress management interventions such as StressProffen can provide appreciated support for cancer survivors, should be easy to use, can provide significant stress reduction, and improve emotional well-being. Further testing in a randomized controlled trial is warranted and is in progress. Clinicaltrials.gov: NCT0293961.
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              Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review

              Background Maintaining weight after weight loss is a major health challenge, and eHealth (electronic health) solutions may be a way to meet this challenge. Application of behavior change techniques (BCTs) and persuasive system design (PSD) principles in eHealth development may contribute to the design of technologies that positively influence behavior and motivation to support the sustainable health behavior change needed. Objective This review aimed to identify BCTs and PSD principles applied in eHealth interventions to support weight loss and weight loss maintenance, as well as techniques and principles applied to stimulate motivation and adherence for long-term weight loss maintenance. Methods A systematic literature search was conducted in PsycINFO, Ovid MEDLINE (including PubMed), EMBASE, Scopus, Web of Science, and AMED, from January 1, 2007 to June 30, 2018. Arksey and O’Malley’s scoping review methodology was applied. Publications on eHealth interventions were included if focusing on weight loss or weight loss maintenance, in combination with motivation or adherence and behavior change. Results The search identified 317 publications, of which 45 met the inclusion criteria. Of the 45 publications, 11 (24%) focused on weight loss maintenance, and 34 (76%) focused on weight loss. Mobile phones were the most frequently used technology (28/45, 62%). Frequently used wearables were activity trackers (14/45, 31%), as well as other monitoring technologies such as wireless or digital scales (8/45, 18%). All included publications were anchored in behavior change theories. Feedback and monitoring and goals and planning were core behavior change technique clusters applied in the majority of included publications. Social support and associations through prompts and cues to support and maintain new habits were more frequently used in weight loss maintenance than weight loss interventions. In both types of interventions, frequently applied persuasive principles were self-monitoring, goal setting, and feedback. Tailoring, reminders, personalization, and rewards were additional principles frequently applied in weight loss maintenance interventions. Results did not reveal an ideal combination of techniques or principles to stimulate motivation, adherence, and weight loss maintenance. However, the most frequently mentioned individual techniques and principles applied to stimulate motivation were, personalization, simulation, praise, and feedback, whereas associations were frequently mentioned to stimulate adherence. eHealth interventions that found significant effects for weight loss maintenance all applied self-monitoring, feedback, goal setting, and shaping knowledge, combined with a human social support component to support healthy behaviors. Conclusions To our knowledge, this is the first review examining key BCTs and PSD principles applied in weight loss maintenance interventions compared with those of weight loss interventions. This review identified several techniques and principles applied to stimulate motivation and adherence. Future research should aim to examine which eHealth design combinations can be the most effective in support of long-term behavior change and weight loss maintenance.
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                Author and article information

                Journal
                CRD
                Cardiology
                10.1159/issn.0008-6312
                Cardiology
                S. Karger AG
                0008-6312
                1421-9751
                2020
                February 2020
                11 December 2019
                : 145
                : 2
                : 106-109
                Affiliations
                aDivision of Medicine, Center for Shared Decision Making and Collaborative Care Research, Oslo University Hospital, Oslo, Norway
                bInstitute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
                cDepartment of Psychiatry and Psychology, College of Medicine and Science, Mayo Clinic, Rochester, Minnesota, USA
                Author notes
                *Lise Solberg Nes, LP PhD, Division of Medicine, Center for Shared Decision Making and, Collaborative Care Research, Oslo University Hospital, PB 4950 Nydalen, NO–0424 Oslo (Norway), E-Mail Lise.Solberg.Nes@rr-research.no
                Article
                504797 Cardiology 2020;145:106–109
                10.1159/000504797
                31825946
                © 2019 S. Karger AG, Basel

                Copyright: All rights reserved. No part of this publication may be translated into other languages, reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, microcopying, or by any information storage and retrieval system, without permission in writing from the publisher. Drug Dosage: The authors and the publisher have exerted every effort to ensure that drug selection and dosage set forth in this text are in accord with current recommendations and practice at the time of publication. However, in view of ongoing research, changes in government regulations, and the constant flow of information relating to drug therapy and drug reactions, the reader is urged to check the package insert for each drug for any changes in indications and dosage and for added warnings and precautions. This is particularly important when the recommended agent is a new and/or infrequently employed drug. Disclaimer: The statements, opinions and data contained in this publication are solely those of the individual authors and contributors and not of the publishers and the editor(s). The appearance of advertisements or/and product references in the publication is not a warranty, endorsement, or approval of the products or services advertised or of their effectiveness, quality or safety. The publisher and the editor(s) disclaim responsibility for any injury to persons or property resulting from any ideas, methods, instructions or products referred to in the content or advertisements.

                Page count
                Pages: 4
                Product
                Self URI (application/pdf): https://www.karger.com/Article/Pdf/504797
                Categories
                Cardiovascular Prevention: Editorial Comment

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