Personalised eHealth intervention to increase physical activity and reduce sedentary behaviour in rehabilitation after cardiac operations: study protocol for the PACO randomised controlled trial (NCT03470246)

Vasankari, Ville; Halonen, Jari; Husu, Pauliina; Vähä‐Ypyä, Henri; Tokola, Kari; Suni, Jaana; Sievänen, Harri; Anttila, Vesa; Airaksinen, Juhani; Vasankari, Tommi; Hartikainen, Juha

doi:10.1136/bmjsem-2019-000539

Cited by 19 publications

(34 citation statements)

References 50 publications

(75 reference statements)

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“…The target populations of the studies involved in this review were varied. They included older adults [ 53 , 55 , 57 ], children and parents [ 44 , 60 ], healthy adults who were sedentary [ 41 ], men and women with overweight [ 35 ], women with overweight who were sedentary [ 50 ], Hispanic individuals with overweight [ 61 ], African American individuals who were physically inactive [ 52 ], local residents [ 56 , 60 ], pregnant women [ 37 , 49 ], patients with cancer [ 51 , 54 ], and patients with chronic disease [ 46 , 58 ].…”

Section: Resultsmentioning

confidence: 99%

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Personalization of Intervention Timing for Physical Activity: Scoping Review

Chaudhari¹,

Ghanvatkar²,

Kankanhalli³

2022

JMIR Mhealth Uhealth

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Background The use of sensors in smartphones, smartwatches, and wearable devices has facilitated the personalization of interventions to increase users’ physical activity (PA). Recent research has focused on evaluating the effects of personalized interventions in improving PA among users. However, it is critical to deliver the intervention at an appropriate time to each user to increase the likelihood of adoption of the intervention. Earlier review studies have not focused on the personalization of intervention timing for increasing PA. Objective This review aims to examine studies of information technology–based PA interventions with personalized intervention timing (PIT); identify inputs (eg, user location) used by the system for generating the PIT, the techniques and methods used for generating the PIT, the content of the PA intervention, and delivery mode of the intervention; and identify gaps in existing literature and suggest future research directions. Methods A scoping review was undertaken using PsycINFO, PubMed, Scopus, and Web of Science databases based on a structured search query. The main inclusion criteria were as follows: the study aimed to promote PA, included some form of PIT, and used some form of information technology for delivery of the intervention to the user. If deemed relevant, articles were included in this review after removing duplicates and examining the title, abstract, and full text of the shortlisted articles. Results The literature search resulted in 18 eligible studies. In this review, 72% (13/18) of the studies focused on increasing PA as the primary objective, whereas it was the secondary focus in the remaining studies. The inputs used to generate the PIT were categorized as user preference, activity level, schedule, location, and predicted patterns. On the basis of the intervention technique, studies were classified as manual, semiautomated, or automated. Of these, the automated interventions were either knowledge based (based on rules or guidelines) or data driven. Of the 18 studies, only 6 (33%) evaluated the effectiveness of the intervention and reported positive outcomes. Conclusions This work reviewed studies on PIT for PA interventions and identified several aspects of the interventions, that is, inputs, techniques, contents, and delivery mode. The reviewed studies evaluated PIT in conjunction with other personalization approaches such as activity recommendation, with no study evaluating the effectiveness of PIT alone. On the basis of the findings, several important directions for future research are also highlighted in this review.

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Section: Resultsmentioning

confidence: 99%

“…In this review, 33% (6/18) of the studies used user activity levels to offer PIT [ 35 , 41 , 50 , 54 , 57 , 58 ]. In the study by Finkelstein et al [ 50 ], if the user’s step count was <15 in the past hour, a message was sent to encourage the user to engage in PA.…”

Section: Resultsmentioning

confidence: 99%

Personalization of Intervention Timing for Physical Activity: Scoping Review

Chaudhari¹,

Ghanvatkar²,

Kankanhalli³

2022

JMIR Mhealth Uhealth

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“…The guidelines also recommend tailored exercise programs for CAD patients with different demographical background and disease severity [ 43 ]. Up-to-date technology may provide tools for providing personalized exercise programs based on individual risk analysis of exercise-induced adverse events [ 23 , 53 ].…”

Section: Discussionmentioning

confidence: 99%

“…Novel interventions applying online connections (e.g. Bluetooth-based devices) to provide PA guidance and accelerometer data to monitor attainment of these goals should be devised to facilitate postoperative rehabilitation after revascularization [ 53 ]. In addition, online applications should be used to forward data on PA and SB to the health care providers.…”

Section: Discussionmentioning

confidence: 99%

Physical activity and sedentary behaviour in secondary prevention of coronary artery disease: A review

Vasankari

Halonen

Vasankari

et al. 2021

American Journal of Preventive Cardiology

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Comprehensive management of coronary artery disease (CAD) includes physical exercise as a part of daily lifestyle therapy. Still CAD patients generally have low physical activity (PA) and high sedentary behaviour (SB). This review summarizes the effect of exercise training and habitual PA and SB on physical fitness and quality of life (QoL) as well as on rehospitalizations and mortality in patients with stable CAD, recent acute coronary syndrome (ACS) or recent revascularization. A literature review of the influence of exercise, and PA and SB profiles in secondary prevention of CAD was performed using PubMed. All articles published between January 2001 and April 2019, meeting the inclusion criteria were considered. A total of 25 cross-sectional or prospective studies or randomized controlled trials (RCT) were included to this review. Exercise training was found to improve maximal oxygen consumption, QoL, and to reduce rehospitalizations and mortality among patients with established CAD. Remote PA interventions have not been as effective as the supervised exercise sessions in reducing the clinical endpoints. High SB, especially when combined to low PA, is associated with poor cardiorespiratory fitness and worse long-term prognosis among patients with ACS. In conclusion, exercise training and high PA are beneficial for patients with stable CAD, recent ACS or recent revascularization. High SB is associated with poor cardiopulmonary fitness and increased mortality in ACS patients. Novel tools using online applications and smart devices are promising means to offer remote guidance for PA among patients unable to participate in regular exercise sessions.

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“…Recently, with the aim of monitoring and improving fitness and healthy behaviors in patients with different diseases, several studies have highlighted the effects of e-health-based protocols, developed using Internet resources, for monitoring and connecting these people [6,7]. To date, this new approach has been widely applied in the field of psycho-oncology, nutrition and physical activity to improve communication between patients and oncologists, to monitor patients' activities and to give telematics access to diagnosis or screening results, as well as to support patients during rehabilitation [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

New Strategy of Home-Based Exercise during Pandemic COVID-19 in Breast Cancer Patients: A Case Study

et al. 2020

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The COVID-19 pandemic has posed several challenges for the oncology health care system. The need to improve patients’ Quality of Life (QoL) through exercise, which is related to survival and healing, has increased, especially during lockdowns. Technologies are often used to help with patient care as well as to monitor exercise training. This case study, developed during the pandemic period, aims to evaluate the effectiveness of a proposed home-based combined training (CT) regimen, supervised through online lessons, in increasing QoL and fatigue in breast cancer patients undergoing adjuvant therapy. Additionally, we evaluated the effect of exercise on psychological and functional parameters. Methods: Two breast cancer (BC) survivors were required to participate in 2 h/week of supervised and home-based CT for 16 weeks. Results: Improvements were found in the emotional function of QoL (10% in patient A; 70% in patient B) and in all variables of fatigue (physical fatigue 66% in patient A; 33% in patient B). Conclusion: The findings from this study revealed positive effects of CT on QoL and fatigue perception in BC women undergoing therapy. Both patients attended all training sessions with no adverse events, showing the sustainability of this training as an alternative and affordable method that is capable of improving patients’ wellbeing.

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Personalised eHealth intervention to increase physical activity and reduce sedentary behaviour in rehabilitation after cardiac operations: study protocol for the PACO randomised controlled trial (NCT03470246)

Cited by 19 publications

References 50 publications

Personalization of Intervention Timing for Physical Activity: Scoping Review

Personalization of Intervention Timing for Physical Activity: Scoping Review

Physical activity and sedentary behaviour in secondary prevention of coronary artery disease: A review

New Strategy of Home-Based Exercise during Pandemic COVID-19 in Breast Cancer Patients: A Case Study

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