eHealth and behavioral weight loss interventions for female cancer survivors: A review

Harvey, Jean; Dittus, Kim; Mench, Elise

doi:10.1177/1745505717731012

Cited by 7 publications

(4 citation statements)

References 45 publications

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“…However, it is unclear which method, in the population of patients undergoing treatment for upper gastrointestinal cancer, is more effective and acceptable in changing health behaviours, improving health outcomes and ultimately survival. There are few studies that explore the delivery of health behaviour change interventions by ehealth methods during cancer treatment, most studies focus on prevention and survivorship interventions [ 45 – 48 ].…”

Section: Discussionmentioning

confidence: 99%

A process and mechanism of action evaluation of the effect of early and intensive nutrition care, delivered via telephone or mobile application, on quality of life in people with upper gastrointestinal cancer: a study protocol

et al. 2018

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BackgroundCancers of the upper gastrointestinal tract commonly result in malnutrition, which increases morbidity and mortality. Current nutrition best practice lacks a mechanism to provide early and intensive nutrition support to these patients. A 3-arm parallel randomised controlled trial is testing the provision of a tailored, nutritional counselling intervention delivered using a synchronous, telephone-based approach or an asynchronous, mobile application-based approach to address this problem. This protocol outlines the design and methods that will be used to undertake an evaluation of the implementation process, which is imperative for successful replication and dissemination.MethodsA concurrent triangulation mixed methods comparative analysis will be undertaken. The nutrition intervention will be provided using best practice behaviour change techniques and communicated either via telephone or via mHealth. The implementation outcomes that will be measured are: fidelity to the nutrition intervention protocol and to the delivery approach; engagement; acceptability and contextual factors. Qualitative data from recorded telephone consultations and written messages will be analysed through a coding matrix against the behaviour change techniques outlined in the standard operating procedure, and also thematically to determine barriers and enablers. Negative binomial regression will be used to test for predictive relationships between intervention components with health-related quality of life and nutrition outcomes. Post-intervention interviews with participants and health professionals will be thematically analysed to determine the acceptability of delivery approaches. NVivo 11 Pro software will be used to code for thematic analysis. STATA version 15 will be used to perform quantitative analysis.DiscussionThe findings of this process evaluation will provide evidence of the core active ingredients that enable the implementation of best practice nutrition intervention for people with upper gastrointestinal cancer. Elucidation of the causal pathways of successful implementation and the important relationship to contextual delivery are anticipated. With this information, a strategy for sustained implementation across broader settings will be developed which impact the quality of life and nutritional status of individuals with upper gastrointestinal cancer.Trial registration27th January 2017 Australian and New Zealand Clinical Trial Registry (ACTRN12617000152325).

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Section: Discussionmentioning

confidence: 99%

A process and mechanism of action evaluation of the effect of early and intensive nutrition care, delivered via telephone or mobile application, on quality of life in people with upper gastrointestinal cancer: a study protocol

et al. 2018

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“…Although the number of eHealth interventions for promoting healthy eating, regular exercise, and/or weight loss is growing among cancer survivors, most have not been tested in large randomized controlled trials with long-term follow up. 8 – 10 Moreover, their effects are inconsistent with benefits modest, at best, and few have explicitly targeted older cancer survivors. 9 – 12 Hence, there is a need to leverage preferences from the target population to enhance outcomes.…”

Section: Introductionmentioning

confidence: 99%

“… 8 – 10 Moreover, their effects are inconsistent with benefits modest, at best, and few have explicitly targeted older cancer survivors. 9 – 12 Hence, there is a need to leverage preferences from the target population to enhance outcomes. To do so, we identified features of web-based healthy lifestyle interventions preferred by a racially and geographically diverse sample of middle-aged and older cancer survivors from the region where the intervention was developed (i.e.…”

Section: Introductionmentioning

confidence: 99%

Using the TIDieR checklist to describe development and integration of a web-based intervention promoting healthy eating and regular exercise among older cancer survivors

et al. 2023

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Objective To facilitate replication and future intervention design of web-based multibehavior lifestyle interventions, we describe the rationale, development, and content of the Ai M, Plan, and act on LIFest Yles (AMPLIFY) Survivor Health intervention which provides healthy eating and exercise behavior change support for older cancer survivors. The intervention promotes weight loss, improvements in diet quality, and meeting exercise recommendations. Methods The Template for Intervention Description and Replication (TIDieR) checklist was used to provide a comprehensive description of the AMPLIFY intervention, consistent with CONSORT recommendations. Results A social cognitive theory web-based intervention founded on the core components of efficacious print and in-person interventions was conceptualized and developed through an iterative collaboration involving cancer survivors, web design experts, and a multidisciplinary investigative team. The intervention includes the AMPLIFY website, text and/or email messaging, and a private Facebook group. The website consists of: (1) Sessions (weekly interactive e-learning tutorials); (2) My Progress (logging current behavior, receiving feedback, setting goals); (3) Tools (additional information and resources); (4) Support (social support resources, frequently asked questions); and (5) Home page. Algorithms were used to generate fresh content daily and weekly, tailor information, and personalize goal recommendations. An a priori rubric was used to facilitate intervention delivery as healthy eating only (24 weeks), exercise only (24 weeks), or both behaviors concurrently over 48 weeks. Conclusions Our TIDieR-guided AMPLIFY description provides pragmatic information helpful for researchers designing multibehavior web-based interventions and enhances potential opportunities to improve such interventions.

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“…Two interventions used e-mailed lessons and feedback, one used tailored text messages, one provided participant input and advice via Facebook, and one delivered the intervention via phone, yet had subjects report dietary intake using text messages while weight and physical activity were obtained with wireless devices. Weight loss in these eHealth studies ranged from 0.2 to 2.3 kg, which is in the range observed for healthy individuals [17]. …”

Section: Ehealth In Therapy Managementmentioning

confidence: 99%

Individualized eHealth Support for Oncological Therapy Management

Schinköthe¹

2019

Breast Care

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eHealth support for oncological therapy management has different faces. In addition to the direct support of therapy-supportive measures such as the promotion of physical activities, monitoring of the diet and observation of the quality of life through eHealth approaches are possible. Many solutions are now in transition between research and routine use. The most substantial evidence today is in the area of symptom monitoring. Independent studies have shown a significant survival benefit among other advantages as well. There is also a good overlap in eHealth and physical activity. More and more solutions are coming onto the market, which also has an impact for cancer patients. In the field of nutrition, there are only a few successful approaches both within and outside oncology. In contrast, the application of eHealth for the detection of disease-related malnutrition seems promising. Innovative approaches involving “artificial intelligence” or “Internet of Things” are slowly finding their place in both research and routine. For routine care, it will be necessary for doctors, nurses, and patients to know what a real medical eHealth application is and which are just lifestyle products without the needed quality for professional medical usage.

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eHealth and behavioral weight loss interventions for female cancer survivors: A review

Cited by 7 publications

References 45 publications

A process and mechanism of action evaluation of the effect of early and intensive nutrition care, delivered via telephone or mobile application, on quality of life in people with upper gastrointestinal cancer: a study protocol

A process and mechanism of action evaluation of the effect of early and intensive nutrition care, delivered via telephone or mobile application, on quality of life in people with upper gastrointestinal cancer: a study protocol

Using the TIDieR checklist to describe development and integration of a web-based intervention promoting healthy eating and regular exercise among older cancer survivors

Individualized eHealth Support for Oncological Therapy Management

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