scholarly journals Can adding web-based support to UK primary care exercise referral schemes improve patients’ physical activity levels? Intervention development for the e-coachER study.

2016 ◽  
Vol 4 ◽  
Author(s):  
Taylor Adrian ◽  
Lambert Jeff ◽  
Yardley Lucy ◽  
Steele Mary ◽  
Greaves Colin ◽  
...  
2017 ◽  
Vol 100 (7) ◽  
pp. 1402-1407 ◽  
Author(s):  
Dorothy Daiyi Yang ◽  
Omar Hausien ◽  
Mohammed Aqeel ◽  
Alexios Klonis ◽  
Jo Foster ◽  
...  

2015 ◽  
Vol 3 (3) ◽  
pp. 369
Author(s):  
Martyn Queen ◽  
Diane Crone ◽  
Andrew Parker

Objectives Limited and contradictory evidence exists on the long-term effectiveness of exercise referral schemes (ERS) for physical activity promotion and its impact on perceived health status. The intention of this study was to investigate patients’ views of a physical activity intervention on their self-assessed health status.Methods A longitudinal qualitative study design was employed with 12 patients aged 55 – 74, attending a primary care physical activity intervention. Semi-structured interviews took place on three occasions over a 12 month period in a Primary Care Health Centre. Transcripts of recorded interviews were coded and thematically analysed using grounded theory techniques.Results The majority of patients believed that their engagement with the Scheme and resultant long-term increase in physical activity behaviour, helped to improve their health status. This was evident through improved perceptions of medical conditions, through stabilisation or reductions in medication and visits to medical services.Conclusion The findings show the value of a long-term physical activity intervention in a Primary Care setting, through increases in physical activity levels and patients self-assessed health status. These findings can serve as guide for future service commissioners of ERS.


10.2196/11543 ◽  
2020 ◽  
Vol 22 (9) ◽  
pp. e11543
Author(s):  
Jennifer Brunet ◽  
Heather E Tulloch ◽  
Emily Wolfe Phillips ◽  
Robert D Reid ◽  
Andrew L Pipe ◽  
...  

Background Low physical activity levels can negatively affect the health of nurses. Given the low physical activity levels reported by nurses, there is a clear need for brief and economical interventions designed to increase physical activity levels in this population. We developed a web-based intervention that used motivational strategies to increase nurses’ physical activity levels. The intervention provided the nurses with feedback from an activity monitor coupled with a web-based individual, friend, or team physical activity challenge. Objective In this parallel-group randomized trial, we examine whether nurses’ motivation at baseline predicted changes in objectively measured physical activity levels during the 6-week intervention. Methods The participants were 76 nurses (n=74, 97% female; mean age 46, SD 11 years) randomly assigned to 1 of 3 physical activity challenge conditions: (1) individual, (2) friend, or (3) team. The nurses completed a web-based questionnaire designed to assess motivational regulations for physical activity levels before the intervention and wore a Tractivity activity monitor before and during the 6-week intervention. We analyzed data using multilevel modeling for repeated measures. Results The nurses’ physical activity levels increased (linear estimate=10.30, SE 3.15; P=.001), but the rate of change decreased over time (quadratic estimate=−2.06, SE 0.52; P<.001). External and identified regulations (ß=−2.08 to 11.55; P=.02 to .04), but not intrinsic and introjected regulations (ß=−.91 to 6.29; P=.06 to .36), predicted changes in the nurses’ physical activity levels. Conclusions Our findings provide evidence that an intervention that incorporates self-monitoring and physical activity challenges can be generally effective in increasing nurses’ physical activity levels in the short term. They also suggest that drawing solely on organismic integration theory to predict changes in physical activity levels among the nurses participating in web-based worksite interventions may have been insufficient. Future research should examine additional personal (eg, self-efficacy) and occupational factors (eg, shift length and shift type) that influence physical activity levels to identify potential targets for intervention among nurses. Trial Registration ClinicalTrials.gov NCT04524572; https://clinicaltrials.gov/ct2/show/NCT04524572


2017 ◽  
Author(s):  
Michael Marthick ◽  
Haryana M Dhillon ◽  
Jennifer A Alison ◽  
Birinder S Cheema ◽  
Tim Shaw

BACKGROUND Significant benefits accrue from increasing physical activity levels in people with a history of cancer. Physical activity levels can be increased using behavioral change interventions in this population. Access to Web portals and provision of activity monitors to provide feedback may support behavior change by encouraging patient engagement in physical therapy. The Web portal evaluated in this study will provide a system to monitor physical activity and sleep, for use by both clinician and patient, along with symptom and health-related quality of life tracking capabilities. OBJECTIVE The aim of this study was to outline a protocol for a feasibility study focused on a Web-based portal that provides activity monitoring and personalized messaging to increase physical activity in people with cancer. METHODS Using a longitudinal cohort design, people with cancer will be serially allocated to 3 intervention cohorts of 20 participants each and followed for 10 weeks. Cohort 1 will be provided a wearable activity monitor and access to a Web-based portal. Cohort 2 will receive the same content as Cohort 1 and in addition will receive a weekly activity summary message. Cohort 3 will receive the same content as Cohorts 1 and 2 and in addition will receive a personalized weekly coaching message. Feasibility of the use of the portal is the primary outcome. RESULTS Results are expected in early 2018. Outcome measures will include goal attainment and completion rate. CONCLUSIONS This study will provide information about the feasibility of investigating eHealth initiatives to promote physical activity in people with cancer. REGISTERED REPORT IDENTIFIER RR1-10.2196/9586


2020 ◽  
Author(s):  
Nikita Rowley ◽  
Colin Shore ◽  
Benjamin Buckley ◽  
Katie Hesketh

The Covid-19 pandemic is having detrimental effects on the leisure and sport industry at present. It is important to highlight the importance of UK-based exercise referral schemes for individuals medically referred to an exercise prescription to improve, manage and treat a long-term health condition and increase physical activity levels. There has been no research observing the effects the pandemic has had on exercise referral schemes, and their adjusted or halted operations. This editorial provides some insights into operational changes to exercise referral schemes.


2021 ◽  
Author(s):  
Leah Grout ◽  
Kendra Telfer ◽  
Nick Wilson ◽  
Christine Cleghorn ◽  
Anja Mizdrak

BACKGROUND Inadequate physical activity is a substantial cause of health loss globally with this loss attributable to such diseases as coronary heart disease, diabetes, stroke, and certain forms of cancer. OBJECTIVE We aimed to assess the potential impact of the prescription of smartphone applications (apps) in primary care settings on physical activity levels, health gains (in quality-adjusted life years (QALYs)), and health system costs in New Zealand (NZ). METHODS A proportional multistate lifetable model was used to estimate the change in physical activity levels and to predict resultant health gains in QALYs and health system costs over the remaining lifespan of the NZ population alive in 2011 at a 3% discount rate. RESULTS The modeled intervention resulted in an estimated 430 QALYs (95% uncertainty interval: 320 to 550), with net cost-savings of NZ $2.2 million (2018 US $1.6 million) over the remaining lifespan of the 2011 NZ population. On a per capita basis, QALY gains were generally larger in women than men, and larger in Māori than non-Māori. The health impact and cost-effectiveness of the intervention were highly sensitive to assumptions around intervention uptake and decay. For example, the scenario analysis with the largest benefits, which assumed a five-year maintenance of additional physical activity levels, delivered 1750 QALYs and NZ $22.5 million in cost-savings. CONCLUSIONS The prescription of smartphone apps for promoting physical activity in primary care settings is likely to generate modest health gains and cost-savings at the population level, in this high-income country. Such gains may increase with ongoing improvements in app design and increased health worker promotion to patients.


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