Development of an observational tool to assess health coaching fidelity

Author(s):  
Stephanie J. Sohl ◽  
Deborah Lee ◽  
Heather Davidson ◽  
Blaire Morriss ◽  
Rebecca Weinand ◽  
...  
Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 704-P
Author(s):  
TAYLOR CLARK ◽  
LINDA GALLO ◽  
JOHANNA A. EUYOQUE ◽  
KIMBERLY L. SAVIN ◽  
JULIA I. BRAVIN ◽  
...  

2020 ◽  
pp. 1476718X2096985
Author(s):  
Pete King ◽  
LaDonna Atkins ◽  
Brandon Burr

The Play Cycle Observation Method (PCOM) is an observational tool developed to focus on the process of play and has shown good reliability when watching videos of children playing. This study piloted use of the PCOM in ‘real time’ in a pre-school setting where 3-year-old children play. The results from two independent observers not familiar with the concept of the Play Cycle or the PCOM found good inter-rater reliability using Cohen Kappa (k) when observing play cues to form play cycles, as well as observing play cues within established play cycles. In addition, the recording of the nature of the play cues and play returns, the play frame and how the play cycle finishes (annihilation) were shown to be consistent between the two inter-rater observers. The results of this pilot study indicate the PCOM can be used as an observational tool to record the process of play by both students and practitioners working in a range of contexts including playwork, childcare, early years and statutory education. The PCOM can also be used as a teaching and training aid for trainers and lecturers.


2019 ◽  
Vol 64 (2) ◽  
pp. S129
Author(s):  
Alanna Butler ◽  
Gabrielle DiFiore ◽  
Kara Martin ◽  
C. Alix. Timko ◽  
Jennifer Harding ◽  
...  

2016 ◽  
Vol 23 (8) ◽  
pp. 716-724 ◽  
Author(s):  
Michel Tiede ◽  
Sarah Dwinger ◽  
Lutz Herbarth ◽  
Martin Härter ◽  
Jörg Dirmaier

Introduction The * Equal contributors. health-status of heart failure patients can be improved to some extent by disease self-management. One method of developing such skills is telephone-based health coaching. However, the effects of telephone-based health coaching remain inconclusive. The aim of this study was to evaluate the effects of telephone-based health coaching for people with heart failure. Methods A total sample of 7186 patients with various chronic diseases was randomly assigned to either the coaching or the control group. Then 184 patients with heart failure were selected by International Classification of Diseases (ICD)-10 code for subgroup analysis. Data were collected at 24 and 48 months after the beginning of the coaching. The primary outcome was change in quality of life. Secondary outcomes were changes in depression and anxiety, health-related control beliefs, control preference, health risk behaviour and health-related behaviours. Statistical analyses included a per-protocol evaluation, employing analysis of variance and analysis of covariance (ANCOVA) as well as Mann-Whitney U tests. Results Participants’ average age was 73 years (standard deviation (SD) = 9) and the majority were women (52.8%). In ANCOVA analyses there were no significant differences between groups for the change in quality of life (QoL). However, the coaching group reported a significantly higher level of physical activity ( p = 0.03), lower intake of non-prescribed drugs ( p = 0.04) and lower levels of stress ( p = 0.02) than the control group. Mann-Whitney U tests showed a different external locus of control ( p = 0.014), and higher reduction in unhealthy nutrition ( p = 0.019), physical inactivity ( p = 0.004) and stress ( p = 0.028). Discussion Our results suggest that telephone-based health coaching has no effect on QoL, anxiety and depression of heart failure patients, but helps in improving certain risk behaviours and changes the locus of control to be more externalised.


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