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Standley K, Ravesloot C, Sage R, Sondag KA. Health Coaching for People With Disabilities: An Exploratory Mixed-Methods Study. Am J Health Promot 2023; 37:345-355. [PMID: 35722956 DOI: 10.1177/08901171221109524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PURPOSE To expand the reach of health-promotion efforts for people with disabilities, we piloted a health-coaching intervention with a disability-specific curriculum. We evaluated the intervention's effects on health-related quality of life and health behavior change. DESIGN Mixed-methods research design using pre-post measures and semi-structured interviews. SETTING/PARTICIPANTS A convenience sample of community-dwelling adults with disabilities (n = 39). INTERVENTION Participants engaged in a curriculum-based health coaching intervention, titled Health My Way, which used weekly one-on-one coaching for up to 12 weeks. METHODS Participants completed pre- and post-intervention surveys including questions from the Health-Related Quality of Life (HRQOL) measure and the Health-Promoting Lifestyle Profile II. A subset of participants completed in-depth interviews to explore how health coaching influences health behavior change (n = 12). RESULTS We found statistically significant effects on poor-health days due to physical and mental health, and effects on physical activity. We saw additional effects with engagement in relevant curriculum content. Qualitative main themes (tailoring of information, enthusiasm for personally meaningful goals, and social support) indicated processes by which health coaching supported health behavior changes. CONCLUSIONS The results of this pilot study indicate health coaching appears to be effective for improving HRQOL and health behavior, especially physical activity, for people with disabilities. Apparent key factors include enthusiasm for personally meaningful goals, having tailored information, and social support.
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Affiliation(s)
- Krys Standley
- Research and Training Center on Disability in Rural Communities, 307078University of Montana, Missoula, MT, USA
| | - Craig Ravesloot
- Research and Training Center on Disability in Rural Communities, 307078University of Montana, Missoula, MT, USA
| | - Rayna Sage
- Research and Training Center on Disability in Rural Communities, 307078University of Montana, Missoula, MT, USA
| | - K Ann Sondag
- School of Public and Community Health Sciences, 307078University of Montana, Missoula, MT, USA
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Antol DD, Hagan A, Nguyen H, Li Y, Haugh GS, Radmacher M, Greenlund KJ, Thomas CW, Renda A, Hacker K, Shrank WH. Change in self-reported health: A signal for early intervention in a medicare population. HEALTHCARE (AMSTERDAM, NETHERLANDS) 2021; 10:100610. [PMID: 34933272 DOI: 10.1016/j.hjdsi.2021.100610] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/14/2021] [Revised: 10/14/2021] [Accepted: 12/06/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Health plans and risk-bearing provider organizations seek information sources to inform proactive interventions for patients at risk of adverse health events. Interventions should take into account the strong relationship between social context and health. This retrospective cohort study of a Medicare Advantage population examined whether a change in self-reported health-related quality of life (HRQOL) signals a subsequent change in healthcare needs. METHODS A retrospective longitudinal analysis of administrative claims data was conducted for participants in a Medicare Advantage plan with prescription drug coverage (MAPD) who responded to 2 administrations of the Centers for Disease Control and Prevention 4-item Healthy Days survey within 6-18 months during 2015-2018. Changes in HRQOL, as measured by the Healthy Days instrument, were compared with changes in utilization and costs, which were considered to be a reflection of change in healthcare needs. RESULTS A total of 48,841 individuals met inclusion criteria. Declining HRQOL was followed by increases in utilization and costs. An adjusted analysis showed that every additional unhealthy day reported one year after baseline was accompanied by an $8 increase in monthly healthcare costs in the subsequent six months for the average patient. CONCLUSIONS Declining HRQOL signaled subsequent increases in healthcare needs and utilization. IMPLICATIONS Findings suggest that HRQOL assessments in general, and the Healthy Days instrument in particular, could serve as a leading indicator of the need for interventions designed to mitigate poor health outcomes and rising healthcare costs. LEVEL OF EVIDENCE III.
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Affiliation(s)
| | - Angela Hagan
- Office of Health Affairs and Advocacy, Humana Inc., Louisville, KY, USA
| | - Hannah Nguyen
- Digital Health & Analytics, Humana Inc., Louisville, KY, USA
| | - Yong Li
- Humana Healthcare Research, Louisville, KY, USA
| | - Gilbert S Haugh
- Digital Health & Analytics, Humana Inc., Louisville, KY, USA
| | | | - Kurt J Greenlund
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Craig W Thomas
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - Andrew Renda
- Office of Health Affairs and Advocacy, Humana Inc., Louisville, KY, USA
| | - Karen Hacker
- Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA; National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
| | - William H Shrank
- Office of Health Affairs and Advocacy, Humana Inc., Louisville, KY, USA
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Shih E, Aylward BS, Kunkle S, Graziani G. Health-Related Quality of Life among Members using an On-Demand Behavioral Health Platform: A Pilot Observational Study (Preprint). JMIR Form Res 2021; 6:e35352. [PMID: 35802408 PMCID: PMC9308074 DOI: 10.2196/35352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Revised: 01/21/2022] [Accepted: 03/14/2022] [Indexed: 11/13/2022] Open
Abstract
Background Despite the well-known adverse health conditions and negative economic outcomes associated with mental health problems, accessing treatment is difficult due to reasons such as availability and cost. As a solution, digital mental health services have flooded the industry, and new studies are quickly emerging that support their potential as an accessible and cost-effective way to improve mental health outcomes. However, many mental health platforms typically use clinical tools such as the Patient Health Questionnaire-9 (PHQ-9) or General Anxiety Disorder-7 (GAD-7). Yet, many individuals that seek out care do not have clinical symptomatology and thus, traditional clinical measures may not adequately capture symptom improvement in general well-being. As an alternative, this study used the health-related quality of life (HRQoL) tool from the Centers for Disease Control and Prevention “Healthy Days” measure. This subjective measure of well-being is an effective way to capture HRQoL and might be better suited as an outcome measure for treatments that include both clinical and subclinical individuals. Objective The purpose of this study was to describe changes in HRQoL in clinical and subclinical members assessing virtual care and to examine the association between text-based behavioral coaching and virtual clinical sessions with changes in HRQoL. Methods A total of 288 members completed the 4-item HRQoL measure at baseline and at 1 month following use of the Ginger on demand behavioral health platform. Baseline anxiety and depression levels were collected using the GAD-7 and PHQ-9, respectively. Results Members completed on average 1.92 (SD 2.16) coaching sessions and 0.91 (SD 1.37) clinical sessions during the assessment month. Paired samples t tests revealed significant reductions in the average number of unhealthy mental health days between baseline (mean 16, SD 8.77 days) and follow-up (mean 13.2, SD 9.02 days; t287=5.73; P<.001), and in the average number of days adversely impacted (meanbaseline 10.9, meanfollow-up 8.19; t287=6.26; P<.001). Both subclinical members (t103=3.04; P=.003) and clinical members (t183=5.5; P<.001) demonstrated significant improvements through reductions in adversely impacted days over a month. Clinical members also demonstrated significant improvements through reductions in unhealthy mental health days (t183=5.82; P<.001). Finally, member engagement with virtual clinical sessions significantly predicted changes in unhealthy mental health days (B=–0.96; P=.04). Conclusions To our knowledge, this study is one of the first to use the HRQoL measure as an outcome in an evaluation of a digital behavioral health platform. Using real-world longitudinal data, our preliminary yet promising results show that short-term engagement with virtual care can be an effective means to improve HRQoL for members with subclinical and clinical symptoms. Further follow-up of reported HRQoL over several months is needed.
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Affiliation(s)
- Emily Shih
- Ginger, San Francisco, CA, United States
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Nelson A, Moses O, Rea B, Morton K, Shih W, Alramadhan F, Singh PN. Pilot Feasibility Study of Incorporating Whole Person Care Health Coaching Into an Employee Wellness Program. Front Public Health 2021; 8:570458. [PMID: 33869121 PMCID: PMC8044742 DOI: 10.3389/fpubh.2020.570458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/20/2020] [Indexed: 11/17/2022] Open
Abstract
Prior research supports positive health coaching outcomes, but there is limited literature on the integration of employer-sponsored health coaching into employee wellness strategy. The aim of our mixed methods study was to assess feasibility, acceptability, and preliminary efficacy of incorporating a whole-person care model of health coaching into an employee wellness program (i.e., weight loss, smoking cessation) that is made available by an employer-sponsored health plan. For the quantitative study, eligible employees and covered spouses (n = 39) from Loma Linda University Health were recruited into a novel, 12-week, whole person care intervention that combined health coaching and health education and examined outcomes from surveys detailing the participants' experience and biometric data from the intervention and maintenance periods. For the qualitative study, data were collected through key informant interviews from three health coaches and six intervention participants who were recruited via random sampling. Health coaching was well-received by the participants, and led to a slight albeit positive behavioral change for obesity. A significant decrease in body mass index occurred over 12 weeks of intervention (−0.36 kg/m2, p = 0.016), that did not continue during the maintenance phase (−0.17 kg/m2, p = 0.218). Qualitative findings indicated improved personal health awareness, accountability, motivation, and self-efficacy along with goal setting and barrier overcoming skills among the key themes. Our pilot study findings identify positive behavior change effects of an employee health intervention based on a whole person care model of health coaching with integrated health education, and also identify the need for methods to maintain behavior change (i.e., mHealth, peer-support) post-intervention. Further investigation in randomized controlled trials is the next step in this research.
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Affiliation(s)
- Anna Nelson
- School of Public Health, Loma Linda University, Loma Linda, CA, United States
| | - Olivia Moses
- School of Public Health, Loma Linda University, Loma Linda, CA, United States.,Risk Management, Loma Linda University, Loma Linda, CA, United States
| | - Brenda Rea
- School of Public Health, Loma Linda University, Loma Linda, CA, United States.,Department of Preventive Medicine, Loma Linda University, Loma Linda, CA, United States
| | - Kelly Morton
- School of Behavioral Health, Loma Linda University, Loma Linda, CA, United States
| | - Wendy Shih
- School of Public Health, Loma Linda University, Loma Linda, CA, United States
| | - Fatimah Alramadhan
- School of Public Health, Loma Linda University, Loma Linda, CA, United States
| | - Pramil N Singh
- School of Public Health, Loma Linda University, Loma Linda, CA, United States.,Transdisciplinary Tobacco Research Program, Loma Linda University Cancer Center, Loma Linda, CA, United States
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