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Bishop L, Hemingway A, Crabtree SA. Lifestyle coaching for mental health difficulties: scoping review. JOURNAL OF PUBLIC MENTAL HEALTH 2018. [DOI: 10.1108/jpmh-04-2017-0018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
UK mental health strategy calls for interventions that empower people to self-manage their condition. In lifestyle coaching, coach and client work collaboratively on positive behaviour change to improve client health. There is debate about the appropriateness of coaching for mental health, yet claims have not been supported with evidence. Therefore, the purpose of this paper is to explore the nature and scope of the existing research literature in this field.
Design/methodology/approach
Scoping review.
Findings
The growing evidence base shows positive outcomes of coaching; for instance, symptom reduction, enhanced self-management and achievement of personal goals.
Research limitations/implications
The evidence base is small and of variable quality, offering insights that warrant further exploration.
Practical implications
Coaching not only supports better self-management but also addresses further mental health strategy priorities (such as improved physical health and social functioning). Coaches need not be mental health experts; therefore coaching may be a cost-effective intervention.
Social implications
As mental ill-health prevalence continues to rise despite widespread use of Improving Access to Psychological Therapies and medication, there is a need to explore how novel approaches such as coaching might be integrated into mental healthcare.
Originality/value
This is the first study to collate the evidence on mental health coaching, highlighting its extensive potential, which should be further explored in research and practice.
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Niebuhr F, Wilfling D, Hahn K, Steinhäuser J. Coaching aus der Perspektive der Allgemeinmedizin. PRÄVENTION UND GESUNDHEITSFÖRDERUNG 2018. [DOI: 10.1007/s11553-017-0636-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Holmberg C, Larsson C, Korp P, Lindgren EC, Jonsson L, Fröberg A, Chaplin JE, Berg C. Empowering aspects for healthy food and physical activity habits: adolescents' experiences of a school-based intervention in a disadvantaged urban community. Int J Qual Stud Health Well-being 2018; 13:1487759. [PMID: 29972679 PMCID: PMC6032021 DOI: 10.1080/17482631.2018.1487759] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/06/2018] [Indexed: 10/28/2022] Open
Abstract
PURPOSE This study aimed to describe adolescents' experiences of participating in a health-promoting school-based intervention regarding food and physical activity, with a focus on empowering aspects. Method: The school was located in a urban disadvantaged community in Sweden, characterized by poorer self-reported health and lower life expectancy than the municipality average. Focus group interviews with adolescents (29 girls, 20 boys, 14-15 years) and their teachers (n = 4) were conducted two years after intervention. Data were categorized using qualitative content analysis. RESULTS A theme was generated, intersecting with all the categories: Gaining control over one's health: deciding, trying, and practicing together, in new ways, using reflective tools. The adolescents appreciated influencing the components of the intervention and collaborating with peers in active learning activities such as practicing sports and preparing meals. They also reported acquiring new health information, that trying new activities was inspiring, and the use of pedometers and photo-food diaries helped them reflect on their health behaviours. The adolescents' experiences were also echoed by their teachers. Conclusions: To facilitate empowerment and stimulate learning, health-promotion interventions targeting adolescents could enable active learning activities in groups, by using visualizing tools to facilitate self-reflection, and allowing adolescents to influence intervention activities.
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Affiliation(s)
- Christopher Holmberg
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
| | - Christel Larsson
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
| | - Peter Korp
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
| | - Eva-Carin Lindgren
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
- School of Health and Welfare, Halmstad University, Halmstad, Sweden
| | - Linus Jonsson
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
| | - Andreas Fröberg
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
| | - John E Chaplin
- Department of Pediatrics, Sahlgrenska Academy, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Christina Berg
- Department of Food and Nutrition, and Sport Science, University of Gothenburg, Gothenburg, Sweden
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Abstract
PURPOSE/OBJECTIVES The purpose of this review was to evaluate published literature to distinguish how health coaching influences the cost of chronic disease management in insured adults with chronic conditions. PRIMARY PRACTICE SETTING An integrated literature review was conducted. MEDLINE, Business Source Complete, and OneSearch were searched for the years 2001-2016 utilizing the following key words: health coaching, health coaching AND insurance companies, health coaching AND cost, health coaching AND health insurance, and health coaching AND insurance cost. A total of 67 articles met inclusion criteria and were assessed for applicability. Of those, 27 articles were found to be relevant to the research question. The practice settings of these articles are mostly primary care and wellness programs. FINDINGS/CONCLUSIONS Throughout the literature, health coaching has been found effective in chronic disease management such as hypertension, diabetes, and hyperlipidemia. Studies evaluating the cost-effectiveness of health coaching are limited. The current literature does not clearly demonstrate that health coaching lowers expenditures and patient copayments in the short term but projects future savings. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE Health coaching has the potential to improve chronic disease management and lower health care expenditures. Further long-term research is needed to evaluate the cost-effectiveness of health coaching. It has been projected that the cost-effectiveness of health coaching will be long-term or over 12 months after initiating the health coaching program.
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55
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Park YH, Moon SH, Ha JY, Lee MH. The long-term effects of the health coaching self-management program for nursing-home residents. Clin Interv Aging 2017; 12:1079-1088. [PMID: 28744111 PMCID: PMC5513810 DOI: 10.2147/cia.s137821] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background and aims Little is known about whether a self-management program for nursing-home residents (NHR) with cognitive impairment is likely to have an impact on the care of this growing population. This study aimed to evaluate the effects of the health-coaching self-management program for NHR (HCSMP-NHR) on 1) self-efficacy and goal attainment scaling (GAS), 2) health status and quality of life (QoL) among older people, including those with cognitive impairment, in Korean nursing homes. Methods This was a cluster-randomized controlled trial. Participants in the intervention group (n=43, mean age =80.91±7.65 years) received the HCSMP-NHR intervention, composed of group health education and individual coaching, for 8 weeks. Conventional care was provided to the conventional group (n=47, mean age =80.19±7.53 years) during the same period. The effects of the HCSMP-NHR were measured three times: at baseline, week 9, and week 20. Results The intervention group showed better results for self-efficacy (P=0.007), health distress (P=0.007), depression (P<0.001), and QoL (P=0.04) at week 9. Mean GAS score of the intervention group gradually increased from −0.38 to 0.74. The time × group interaction showed that the intervention group had significant improvements in QoL (P=0.047), and significant reductions in health distress (P=0.016) and depression (P<0.001), while showing no deterioration in shortness of breath (P<0.001). Conclusion Our study findings indicate that the HCSMP-NHR improved self-efficacy and GAS and enhanced the health status and QoL of NHR with chronic conditions who also had mild-to-moderate cognitive impairment. Moreover, these effects were successfully maintained over the 5 months of the trial. Further research is needed to establish the optimum intervention period and to assess the possibility of nationwide implementation of the HCSMP-NHR.
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Affiliation(s)
- Yeon-Hwan Park
- College of Nursing, Seoul National University.,The Research Institute of Nursing Science, Seoul National University, Seoul
| | - Sun-Hee Moon
- Department of Nursing, College of Health and Welfare and Education, Gwangju University, Gwangju, South Korea
| | - Ji-Yeon Ha
- College of Nursing, Seoul National University
| | - Min-Hye Lee
- College of Nursing, Seoul National University
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Sforzo GA, Kaye MP, Todorova I, Harenberg S, Costello K, Cobus-Kuo L, Faber A, Frates E, Moore M. Compendium of the Health and Wellness Coaching Literature. Am J Lifestyle Med 2017; 12:436-447. [PMID: 30542254 PMCID: PMC6236633 DOI: 10.1177/1559827617708562] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2017] [Revised: 04/14/2017] [Accepted: 04/17/2017] [Indexed: 11/16/2022] Open
Abstract
Health and wellness coaching (HWC) for lifestyle behavior change is emerging as a
practice, role, and profession, in diverse health care, employee wellness, and
community settings. Health care professionals apply HWC as a behavior change
methodology for the prevention and treatment of diabetes, hypertension,
hyperlipidemia, heart disease, cancer, and other chronic disorders. The purpose
of this systematic review was to provide a comprehensive and organized
compendium of HWC literature. To date, extant HWC literature remains scattered
with no meaningful summary accessible. Lack of comprehensive summary stems from
lack of consensus on HWC definition and standards. We applied a recently
proposed, standardized definition of HWC to determine compendium inclusion
criteria for peer-reviewed, data-based literature from relevant search engines
(ie, PubMed, PsychInfo, and CINAHL). A systematic review process was executed
and ultimately yielded 219 articles meeting HWC inclusion criteria. Of these,
150 were data-based and the remainder were expert opinion or review-style
articles. A summary of results generally reveals HWC as a promising intervention
for chronic diseases though further research is needed in most categories. The
resulting HWC compendium organizes and describes the quantity and quality of
available literature for the use and benefit of HWC practitioners and
researchers.
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Affiliation(s)
- Gary A Sforzo
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Miranda P Kaye
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Irina Todorova
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Sebastian Harenberg
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Kyle Costello
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Laura Cobus-Kuo
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Aubrey Faber
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Elizabeth Frates
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
| | - Margaret Moore
- Department of Exercise & Sport Sciences, Ithaca College, Ithaca, New York (GAS, SH, KC, LC).,Clearinghouse for Military Family Readiness at Penn State University, University Park, Pennsylvania (MPK, AF).,Institute of Coaching, McLean Hospital, Belmont, Massachusetts (IT, MM).,Harvard Medical School, Boston, Massachusetts (IT, EF, MM).,Stroke Institute for Research and Recovery, Spaulding Rehabilitation Hospital, Boston, Massachusetts (EF).,Wellcoaches Corporation, Wellesley, Massachusetts (MM)
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Lonie JM, Austin Z, Nguyen R, Gill I, Tsingos-Lucas C. Pharmacist-based health coaching: A new model of pharmacist-patient care. Res Social Adm Pharm 2017; 13:644-652. [DOI: 10.1016/j.sapharm.2016.06.015] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2016] [Revised: 06/17/2016] [Accepted: 06/18/2016] [Indexed: 12/01/2022]
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López-Dicastillo O, Canga-Armayor N, Mujika A, Pardavila-Belio MI, Belintxon M, Serrano-Monzó I, Pumar-Méndez MJ. Cinco paradojas de la promoción de la salud. GACETA SANITARIA 2017; 31:269-272. [DOI: 10.1016/j.gaceta.2016.10.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 10/18/2016] [Accepted: 10/19/2016] [Indexed: 10/20/2022]
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Schmittdiel JA, Adams SR, Goler N, Sanna RS, Boccio M, Bellamy DJ, Brown SD, Neugebauer RS, Ferrara A. The impact of telephonic wellness coaching on weight loss: A "Natural Experiments for Translation in Diabetes (NEXT-D)" study. Obesity (Silver Spring) 2017; 25:352-356. [PMID: 28124501 PMCID: PMC5300741 DOI: 10.1002/oby.21723] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Revised: 11/04/2016] [Accepted: 11/07/2016] [Indexed: 11/08/2022]
Abstract
OBJECTIVE To evaluate the impact of a population-based telephonic wellness coaching program on weight loss. METHODS Individual-level segmented regression analysis of interrupted time series data comparing the BMI trajectories in the 12 months before versus the 12 months after initiating coaching among a cohort of Kaiser Permanente Northern California members (n = 954) participating in The Permanente Medical Group Wellness Coaching program in 2011. The control group was a 20:1 propensity-score matched control group (n = 19,080) matched with coaching participants based on baseline demographic and clinical characteristics. RESULTS Wellness coaching participants had a significant upward trend in BMI in the 12 months before their first wellness coaching session and a significant downward trend in BMI in the 12 months after their first session equivalent to a clinically significant reduction of greater than one unit of baseline BMI (P < 0.01 for both). The control group did not have statistically significant decreases in BMI during the post-period. CONCLUSIONS Wellness coaching has a positive impact on BMI reduction that is both statistically and clinically significant. Future research and quality improvement efforts should focus on disseminating wellness coaching for weight loss in patients with diabetes and those at risk for developing the disease.
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Affiliation(s)
- Julie A Schmittdiel
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Sara R Adams
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Nancy Goler
- Wellness Coaching Center, The Permanente Medical Group, Vallejo, California, USA
| | - Rashel S Sanna
- Regional Health Education, The Permanente Medical Group, Oakland, California, USA
| | - Mindy Boccio
- Regional Health Education, The Permanente Medical Group, Oakland, California, USA
| | - David J Bellamy
- Wellness Coaching Center, The Permanente Medical Group, Vallejo, California, USA
| | - Susan D Brown
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Romain S Neugebauer
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
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Tveiten S, Zlatanovic T, Davidsen LS, Hofset MK, Schwencke J, Størk W, Trudvang HK. Hva karakteriserer et godt kurs i helsepedagogikk? - En fokusgruppeundersøkelse med bruker som medforsker. ACTA ACUST UNITED AC 2016. [DOI: 10.18261/issn.1892-2686-2016-04-04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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61
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Alley S, Jennings C, Plotnikoff RC, Vandelanotte C. Web-Based Video-Coaching to Assist an Automated Computer-Tailored Physical Activity Intervention for Inactive Adults: A Randomized Controlled Trial. J Med Internet Res 2016; 18:e223. [PMID: 27520283 PMCID: PMC5002066 DOI: 10.2196/jmir.5664] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2016] [Revised: 06/01/2016] [Accepted: 06/13/2016] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Web-based physical activity interventions that apply computer tailoring have shown to improve engagement and behavioral outcomes but provide limited accountability and social support for participants. It is unknown how video calls with a behavioral expert in a Web-based intervention will be received and whether they improve the effectiveness of computer-tailored advice. OBJECTIVE The purpose of this study was to determine the feasibility and effectiveness of brief video-based coaching in addition to fully automated computer-tailored advice in a Web-based physical activity intervention for inactive adults. METHODS Participants were assigned to one of the three groups: (1) tailoring + video-coaching where participants received an 8-week computer-tailored Web-based physical activity intervention ("My Activity Coach") including 4 10-minute coaching sessions with a behavioral expert using a Web-based video-calling program (eg, Skype; n=52); (2) tailoring-only where participants received the same intervention without the coaching sessions (n=54); and (3) a waitlist control group (n=45). Demographics were measured at baseline, intervention satisfaction at week 9, and physical activity at baseline, week 9, and 6 months by Web-based self-report surveys. Feasibility was analyzed by comparing intervention groups on retention, adherence, engagement, and satisfaction using t tests and chi-square tests. Effectiveness was assessed using linear mixed models to compare physical activity changes between groups. RESULTS A total of 23 tailoring + video-coaching participants, 30 tailoring-only participants, and 30 control participants completed the postintervention survey (83/151, 55.0% retention). A low percentage of tailoring + video-coaching completers participated in the coaching calls (11/23, 48%). However, the majority of those who participated in the video calls were satisfied with them (5/8, 71%) and had improved intervention adherence (9/11, 82% completed 3 or 4 modules vs 18/42, 43%, P=.01) and engagement (110 minutes spent on the website vs 78 minutes, P=.02) compared with other participants. There were no overall retention, adherence, engagement, and satisfaction differences between tailoring + video-coaching and tailoring-only participants. At 9 weeks, physical activity increased from baseline to postintervention in all groups (tailoring + video-coaching: +150 minutes/week; tailoring only: +123 minutes/week; waitlist control: +34 minutes/week). The increase was significantly higher in the tailoring + video-coaching group compared with the control group (P=.01). No significant difference was found between intervention groups and no significant between-group differences were found for physical activity change at 6 months. CONCLUSIONS Only small improvements were observed when video-coaching was added to computer-tailored advice in a Web-based physical activity intervention. However, combined Web-based video-coaching and computer-tailored advice was effective in comparison with a control group. More research is needed to determine whether Web-based coaching is more effective than stand-alone computer-tailored advice. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry (ACTRN): 12614000339651; http://www.anzctr.org.au/TrialSearch.aspx?searchTxt=ACTRN12614000339651+&isBasic=True (Archived by WebCite at http://www.webcitation.org/6jTnOv0Ld).
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Affiliation(s)
- Stephanie Alley
- Physical Activity Research Group, School of Human, Health and Social Sciences, Central Queensland University, Rockhampton, Australia.
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62
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Huffman MH. Advancing the Practice of Health Coaching: Differentiation From Wellness Coaching. Workplace Health Saf 2016; 64:400-3. [PMID: 27174131 DOI: 10.1177/2165079916645351] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The increasing demand for health coaches and wellness coaches in worksite health promotion and the marketplace has resulted in a plethora of training programs with wide variations in coaching definitions, content, attributes, and eligibility of those who may train. It is in the interest of public awareness and safety that those in clinical practice take the lead in this discussion and offer a reasonable contrast and comparison focusing on the risks and responsibilities of health coaching in particular. With the endorsement of the American Association of Occupational Health Nurses (AAOHN), the National Society of Health Coaches, whose membership is primarily nurses, discusses the issue and states its position here.
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63
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Abstract
Delivery of care by nurses in virtual environments is rapidly increasing with uptake of digitally mediated technologies, such as remote patient monitoring (RPM). Knowing the person is a phenomenon in nursing practice deemed requisite to building relationships and informing clinical decisions, but it has not been studied in virtual environments. PURPOSE OF STUDY The intent of this study was to explicate the processes of how nurses come to know the person using RPM, one form of telehealth technology used in a virtual environment. STUDY DESIGN AND METHOD The study was informed by Charmaz's constructivist grounded theory and included 33 interviews and 5 observational experiences of nurses using RPM in 7 different settings. FINDINGS Getting a Picture evolved as the core category to a theoretical conceptualization of nurses knowing the person through use of RPM and other technologies, such as telephone and electronic medical records. Getting a Picture reflected a dynamic flow and integration of seven processes, such as Connecting With the Person and Recording and Reflecting, to describe how nurses strove to attain a visualization of the person. CONCLUSIONS While navigating disparate and disconnected information and communication technologies, Getting a Picture was important for providing safe, holistic, person-centered care.
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Affiliation(s)
| | - Dawn Stacey
- University of Ottawa, Canada.,Ottawa Hospital Research Institute, Canada
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64
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Xiao H, Adams SR, Goler N, Sanna RS, Boccio M, Bellamy DJ, Brown SD, Neugebauer RS, Ferrara A, Schmittdiel JA. Wellness Coaching for People With Prediabetes: A Randomized Encouragement Trial to Evaluate Outreach Methods at Kaiser Permanente, Northern California, 2013. Prev Chronic Dis 2015; 12:E207. [PMID: 26605707 PMCID: PMC4674445 DOI: 10.5888/pcd12.150251] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Introduction Health coaching can improve lifestyle behaviors known to prevent or manage chronic conditions. Little is known about effective ways to encourage health and wellness coaching among people who might benefit. The purpose of this randomized encouragement trial was to assess the relative success of 3 outreach methods (secured email message, telephone message, and mailed letter) on the use of wellness coaching by people with prediabetes. Methods A total of 14,584 Kaiser Permanente Northern California (KPNC) patients with diagnosed prediabetes (fasting plasma glucose, 110–125mg/dL) were randomly assigned to be contacted via 1 of 4 intervention arms from January through May 2013. The uptake rate (making an appointment at the Wellness Coaching Center [WCC]) was assessed, and the association between uptake rate and patient characteristics was examined via multivariable logistic regression. Results The overall uptake rate across intervention arms was 1.9%. Secured email message had the highest uptake rate (3.0%), followed by letters and telephone messages (P < .05 for all pairwise comparisons). No participants in the usual-care arm (ie, no outreach) made an appointment with the WCC. For each year of increased age, the estimated odds of the uptake increased by 1.02 (odds ratio [OR] = 1.02; 95% CI, 1.01–1.04). Women were nearly twice as likely to make an appointment at the WCC as men (OR = 1.87; 95% CI, 1.40–2.51). Conclusion Our results suggest that the WCC can recruit and encourage KPNC members with prediabetes to participate in the WCC. Future research should focus on increasing participation rates in health coaching among patients who may benefit.
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Affiliation(s)
- Hong Xiao
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Sara R Adams
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Nancy Goler
- Wellness Coaching Center, Kaiser Permanente Northern California, Vallejo
| | - Rashel S Sanna
- Regional Health Education, Kaiser Permanente Northern California, Oakland, California
| | - Mindy Boccio
- Regional Health Education, Kaiser Permanente Northern California, Oakland, California
| | - David J Bellamy
- Wellness Coaching Center, Kaiser Permanente Northern California, Vallejo
| | - Susan D Brown
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Romain S Neugebauer
- Division of Research, Kaiser Permanente Northern California, Oakland, California
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, California
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Alley S, Jennings C, Plotnikoff RC, Vandelanotte C. My Activity Coach - using video-coaching to assist a web-based computer-tailored physical activity intervention: a randomised controlled trial protocol. BMC Public Health 2014; 14:738. [PMID: 25047900 PMCID: PMC4223369 DOI: 10.1186/1471-2458-14-738] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2014] [Accepted: 06/23/2014] [Indexed: 11/13/2022] Open
Abstract
Background There is a need for effective population-based physical activity interventions. The internet provides a good platform to deliver physical activity interventions and reach large numbers of people at low cost. Personalised advice in web-based physical activity interventions has shown to improve engagement and behavioural outcomes, though it is unclear if the effectiveness of such interventions may further be improved when providing brief video-based coaching sessions with participants. The purpose of this study is to determine the effectiveness, in terms of engagement, retention, satisfaction and physical activity changes, of a web-based and computer-tailored physical activity intervention with and without the addition of a brief video-based coaching session in comparison to a control group. Methods/Design Participants will be randomly assigned to one of three groups (tailoring + online video-coaching, tailoring-only and wait-list control). The tailoring + video-coaching participants will receive a computer-tailored web-based physical activity intervention (‘My Activity Coach’) with brief coaching sessions with a physical activity expert over an online video calling program (e.g. Skype). The tailoring-only participants will receive the intervention but not the counselling sessions. The primary time point’s for outcome assessment will be immediately post intervention (week 9). The secondary time points will be at 6 and 12 months post-baseline. The primary outcome, physical activity change, will be assessed via the Active Australia Questionnaire (AAQ). Secondary outcome measures include correlates of physical activity (mediators and moderators), quality of life (measured via the SF-12v2), participant satisfaction, engagement (using web-site user statistics) and study retention. Discussion Study findings will inform researchers and practitioners about the feasibility and effectiveness of brief online video-coaching sessions in combination with computer-tailored physical activity advice. This may increase intervention effectiveness at an acceptable cost and will inform the development of future web-based physical activity interventions. Trial registration ACTRN12614000339651Date: 31/03/2014.
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Affiliation(s)
- Stephanie Alley
- Centre for Physical Activity Studies, School of Human, Health and Social Sciences, Central Queensland University, Building 18, Rockhampton, QLD 4702, Australia.
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