scholarly journals Getting ‘Back on Track’ after a cardiac event: Protocol for a Randomised Controlled Trial of an online self-management program (Preprint)

2021 ◽  
Author(s):  
Michelle C Rogerson ◽  
Alun C Jackson ◽  
Hema S Navaratnam ◽  
Michael R Le Grande ◽  
Rosemary O Higgins ◽  
...  

BACKGROUND After a cardiac event, a large majority of cardiac patients do not achieve recommended behaviour change targets for secondary prevention. Mental health issues can also impact on the ability to engage in health behaviour change. There is a need for innovative, flexible and theory driven e-health programs which include evidence-based strategies to assist cardiac patients with their recovery, especially in behavioural and emotional self-management. OBJECTIVE The aim of this study is to determine the short and longer-term behavioural and emotional wellbeing outcomes of the Back on Track online self-management program. In addition, this study will test whether there is enhanced benefit of providing one-on-one telephone support from a trained lifestyle counsellor, over and above benefit obtained through completing the online program alone. METHODS People who have experienced a cardiac event in the previous 12 months and have access to the internet will be eligible for this study (N=120). Participants will be randomly assigned to one of the two study conditions: either ‘self-directed’ completion of the Back on Track program (without assistance), or ‘supported’ completion of the Back on Track program (additional two telephone sessions with a lifestyle counsellor). All participants will have access to the Back on Track online program for 2 months. Telephone sessions with the supported arm participants will occur at approximately 2- and 6-weeks post enrolment. Measures will be assessed at baseline, and then 2 and 6 months later. Outcome measures assessed at all three timepoints include dietary intake, physical activity and sitting time, smoking status, anxiety and depression, stage of change and self-efficacy in relation to behavioural and emotional self-management, quality of life and self-rated health and wellbeing. A demographic questionnaire will be included at baseline only and program acceptability at 2 months only. RESULTS Recruitment began in May 2020 and concluded in August 2021. Data collection for the 6-month follow-up will be completed by February 2022 and data analysis and publication of results will be complete by June 2022. A total of 122 participants were enrolled in this study. CONCLUSIONS The Back on Track trial will enable us to quantify the behavioural and emotional improvements obtained and maintained for cardiac patients and, in particular, to compare two modes of delivery – one fully self-directed and the other supported by a lifestyle counsellor. We anticipate that the Back on Track online program will assist patients in their recovery and self-management after an acute event, and represents an effective, flexible and easily accessible adjunct to centre-based rehabilitation programs. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (Trial Registration Number: ACTRN12620000102976); http://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=378920&isReview=true

10.2196/34534 ◽  
2021 ◽  
Author(s):  
Michelle C Rogerson ◽  
Alun C Jackson ◽  
Hema S Navaratnam ◽  
Michael R Le Grande ◽  
Rosemary O Higgins ◽  
...  

Urology ◽  
2015 ◽  
Vol 85 (3) ◽  
pp. 561-567 ◽  
Author(s):  
Allen D. Andrade ◽  
Ramanakumar Anam ◽  
Chandana Karanam ◽  
Pamela Downey ◽  
Jorge G. Ruiz

Author(s):  
Samantha K. Stephens ◽  
Elisabeth A. H. Winkler ◽  
Elizabeth G. Eakin ◽  
Bronwyn K. Clark ◽  
Neville Owen ◽  
...  

Abstract Background There is now a body of evidence on the effectiveness of interventions to reduce workplace sitting time. However, there has been limited reporting of how such interventions may impact behaviour both during and outside of work. Sitting, standing and stepping changes following a workplace intervention were examined across five timeframes (work time on work days; non-work time on work days; work days; non-work days; overall (i.e. work and non-work time on all days)), and the relationships between changes during and outside of work was assessed. Methods The cluster-randomised controlled trial, ‘Stand Up Victoria’, delivered a multi-component workplace-delivered intervention that successfully reduced workplace and overall sitting time (relative to controls). Separately, over the five timeframes, changes in device (activPAL3)-assessed outcomes — sitting; prolonged sitting (≥30 min bouts); standing; and, stepping — were compared between intervention (n = 114) and controls (n = 84), along with the time-course of sitting changes during work hours, using mixed models. The potential relationships of changes during work with changes outside of work were examined using compositional data analysis. Results On workdays, intervention participants significantly (p < 0.05) improved their activity profile relative to controls, with reduced sitting (− 117 min/8-h workday, 95% CI: − 141, − 93) and prolonged sitting (− 77 min/8 h workday, 95% CI: − 101, − 52); increased standing (114 min/8 h workday, 95% CI: 92, 136) and maintenance of stepping (3 min/8 h workday, 95% CI: − 7, 11, p = 0.576). Effects were nearly identical for time at work; similar but slightly weaker for overall; and, small and non-significant outside of work on workdays and non-work days. Improvements occurred at all times, but not equally, during work hours (p < 0.001). Correlations between changes during and outside of work on workdays were very weak in both the intervention group (r = − 0.07) and controls (r = − 0.09). Conclusions Sitting time was reduced almost exclusively during work hours (via replacement with standing), with reductions evident during all working hours, to varying degrees. There was no evidence of compensation, with minimal change in activity outside of work, in response to changes in activity at work. Future interventions may benefit from exploring how best to elicit change throughout the whole day, and across work and non-work domains. Trial registration This trial was prospectively registered with the Australian New Zealand Clinical Trials register (ACTRN12611000742976) on 15 July 2011


Author(s):  
Dinesh Khanna ◽  
Jennifer Serrano ◽  
Veronica J. Berrocal ◽  
Richard M. Silver ◽  
Pedro Cuencas ◽  
...  

2019 ◽  
Vol 33 (2) ◽  
pp. 172-182
Author(s):  
Shawn M. Kneipp ◽  
Lindsey Horrell ◽  
Ziya Gizlice ◽  
Matthew Lee Smith ◽  
Laura Linnan ◽  
...  

Purpose: We examined the extent to which demographic, chronic disease burden, and financial strain characteristics were associated with a preference for engaging in the Chronic Disease Self-Management Program (presented as a “health self-management program” [HSMP]) over a financial self-management program (FSMP) and a no program preference (NPP) group among employed adults. Design: Cross-sectional, correlation design using baseline data from a randomized controlled trial (RCT). Subjects: The analytic sample included 324 workers aged 40 to 64 years with 1 or more chronic disease conditions recruited into the RCT from 2015 to 2017. Measures: Chronic disease burden measures included the number of chronic conditions, body mass index (BMI), and the 8-item and 15-item Patient Health Questionnaire (PHQ-8 and PHQ-15). Financial strain was measured as the inability to purchase essentials and food assistance receipt. Both individual and household measures of income were assessed. Analyses: Multinomial logistic regression and post-hoc marginal effects models. Results: Moderate-to-severe depressive symptoms increased the likelihood of having an HSMP preference when compared with those preferring the FSMP (RR = 4.2, P < .05) but not those having NPP; while higher BMI marginally increased HSMP preference over FSMP preference, but not NPP groups (RR = 1.04, P < .05). Financial strain differentially, but significantly, reduces the likelihood of HSMP preference at varying levels of household poverty, depressive symptom severity, and financial strain. Conclusion: Middle-aged, lower-to-middle income workers with moderate-to-severe depressive symptoms opt for HSMPs over FSMPs, but preference for HSMPs significantly diminished when they are experiencing financial strain.


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