An Email Coaching Option Increases Participant Program Utilization and Coach Productivity

2022 ◽  
pp. 089011712110684
Author(s):  
Samantha Garrels ◽  
Elizabeth Macias ◽  
Eric Bender ◽  
Joel Spoonheim ◽  
Thomas E. Kottke
Keyword(s):  
Logistic Regression ◽  
Retrospective Analysis ◽  
Health Plan ◽  
Program Design ◽  
Health And Wellness ◽  
Participant Satisfaction ◽  
Coaching Session ◽  
Wellness Coaching ◽  
Satisfaction Rates

Purpose To assess impact of adding an email option to phone-based coaching on the number of coaching sessions completed. Design Retrospective analysis of a change in program design. Setting A health plan health and wellness coaching service. Subjects Six thousand six hundred twenty four individuals who scheduled at least one coaching session. Intervention Adding an email option to phone coaching May 1 to August 31, 2020. Measures Association of a participant using an email coaching option with completing 3 coaching sessions; overall number of participants completing 3 coaching sessions when email is offered; participant satisfaction rates; and, average number of participants coached per coach by month. Analysis χ2; linear and logistic regression with gender, age, and education as covariates. Results When we offered email coaching, 29.6% of eligible participants used the option, and compared with the same months the prior year, the proportion of participants completing 3 sessions during those months was higher (73% vs 67%). ( P < .0001) 96.5% of participants who used email, vs 92.0% who did not, completed 3 sessions before their employer’s benefit qualifying deadline. ( P < .0001) More than 85% who responded to the email coaching survey expressed satisfaction. On average, each coach served 43% (486 vs 340) more participants per month when we offered email coaching. ( P < .0001). Conclusion Adding email coaching to phone coaching can increase program utilization by individuals who use email, increase overall program utilization, generate high levels of participant satisfaction, and increase the number of participants served per coach.

scholarly journals Health and Wellness Coaching Implemented by Trainees: Impact in Worksite Wellness

2019 ◽  
Vol 8 ◽  
pp. 216495611983122 ◽  
Author(s):  
Jared Blackwell ◽  
Michael Collins ◽  
Christina Scribner ◽  
Jose Guillen ◽  
Karen Moses ◽  
...  
Keyword(s):  
Undergraduate Students ◽  
Mixed Model ◽  
Intervention Group ◽  
Well Being ◽  
Control Group ◽  
Worksite Wellness ◽  
Health And Wellness ◽  
Coaching Session ◽  
Wellness Coaching ◽  
Health Coaches

Background Lifestyle change programs have demonstrated encouraging improvements in the overall well-being of participants in clinical, worksite, and university settings. However, the majority of published research utilizes accredited, professional health coaches. This study seeks to establish the efficacy of health and wellness coaching implemented by coaching trainees in a workplace/university framework. Methods University faculty, staff, and students were recruited (n = 74) to participate in an 8-week health and wellness coaching program comprised of 3 coaching sessions. The wellness coaches were undergraduate students enrolled in a university Health and Wellness Coaching practicum course. Participants reported satisfaction in 12 wellness dimensions. Their satisfaction scores were used as proxy to encourage them to focus their behavior change within 1 or more of 12 wellness dimensions. The self-reported wellness dimension scores were recorded at baseline, and subsequent changes in the selected dimension scores were evaluated. The control group received telephonic and video conference-based coaching, while the intervention group participants were also offered face-to-face coaching and social-embedded support. Results Participants most frequently selected to work on 2 of the 12-wellness dimensions. No differences between groups were found in the initial wellness scores. A statistical analysis was performed on dimensions with 20 or more responses to determine whether the intervention (social support), coaching session, and other variables had a significant impact. A mixed model adjusted on group, coaching session, coaching trainee, and participant was performed. The eating/nutrition and thinking wellness dimensions exhibited a significant positive change in wellness scores in both groups ( P < .001 and P < .0143, respectively). Discussion An increase in eating/nutrition and thinking wellness scores in both groups suggests that the coaching trainees were effective in motivating change to boost participants’ well-being. The results justify further research to evaluate the cost-effectiveness, approaches, and efficacy of coaching trainees in worksite wellness programs.

scholarly journals School-based Telerehabilitation In Occupational Therapy: Using Telerehabilitation Technologies to Promote Improvements in Student Performance

2013 ◽  
Vol 5 (1) ◽  
Author(s):  
Melanie Joy Criss
Keyword(s):  
Occupational Therapy ◽  
Student Satisfaction ◽  
Student Performance ◽  
Fine Motor ◽  
Participant Satisfaction ◽  
School Based ◽  
High Satisfaction ◽  
Therapy Services ◽  
Videoconferencing Technology ◽  
Satisfaction Rates

This article discusses the use of telerehabilitation technologies in occupational therapy for school-based practice. Telerehabilitation, for the purpose of this program, included the implementation of occupational therapy services via two-way interactive videoconferencing technology. The subjects included in this pilot program were children, ages 6 to 11 years, who attended an online charter school and had difficulties in the areas of fine motor and/or visual motor skills which impacted success with handwriting. Each participant completed a virtual evaluation and six 30-minute intervention sessions. The Print Tool™ Assessment was used to determine progress pre- and post-program. A learning coach/student satisfaction survey was given at the end of the program to determine participant satisfaction. Outcomes revealed improvements in handwriting performance for most students who participated in the program and high satisfaction rates reported by all participants.

Engagement with Social Media Platforms via Mobile Apps for Improving Quality of Personal Health Management

2014 ◽  
Vol 16 (1) ◽  
pp. 73-89 ◽  
Author(s):  
Sinjini Mitra ◽  
Rema Padman
Keyword(s):  
Social Media ◽  
Health Plan ◽  
Health Management ◽  
Mobile Apps ◽  
Blood Pressure Level ◽  
Health Condition ◽  
Health Plans ◽  
Health And Wellness ◽  
Health Related ◽  
Social Media Platforms

Patient engagement in self health and wellness management has been identified as an important goal in improving health outcomes. As a result, the use of mobile and social media for health and wellness promotion is gathering considerable momentum. Several early adopting health plans and provider organizations have begun to design and pilot social and mobile media platforms to empower members to enhance self management of health and wellness goals. Based on a member survey of a large health plan in Pennsylvania, the authors identify factors that are significantly associated with member interest in adopting such technology platforms for obtaining health related information and services. Analysis of relevant data from more than 4,000 responses from health plan members indicate significant effects of several factors such as age, gender, general health condition (including presence of chronic conditions like diabetes and high blood pressure), level of computer and social media usage and frequency of engaging in different online activities such as banking, shopping, and emailing. This analysis allows us to identify important consumer segments that are correlated with professed willingness to use applications and programs offered by the health plan. Besides, the authors also develop statistical models to predict people's odds of adopting health-related mobile apps and identify the significant predictors thereof. The authors anticipate that these insights can assist health plans to develop and deploy targeted services and tools through integration of mobile and social media platforms for health and wellness management.

scholarly journals Health and Wellness Coaching in Serving the Needs of Today’s Patients: A Primer for Healthcare Professionals

2020 ◽  
Vol 9 ◽  
pp. 216495612095927
Author(s):  
Adam I Perlman ◽  
Abd Moain Abu Dabrh
Keyword(s):  
Quality Of Life ◽  
Clinical Outcomes ◽  
Potential Role ◽  
Healthcare Professionals ◽  
Well Being ◽  
Health And Wellness ◽  
Healthcare Settings ◽  
Wellness Coaching ◽  
Medical Advances

The past six decades have been marked by leaps and bounds in medical advances, while concurrently clinical outcomes and the quality of life continued to lag or decline. There is a need for more comprehensive approaches to delivering healthcare to patients that address illness and wellness within and outside healthcare settings. Mounting evidence shows that making sustainable changes in healthcare requires approaching patients’/individuals’ care as a continuum—within and outside healthcare settings—while addressing their capacity (ie ability) and workload (ie demands) and incorporating their values and preferences. Health and Wellness Coaching (HWC) has been proposed as a solution to create partnerships to empower individuals to take ownership, leadership, and accountability of their well-being, using nondirective, empathic, and mindful conversations that employ motivational-interviewing and evidence-based approaches. Insufficient clarity exists among healthcare professionals in understanding the definition, roles, and types of HWC. This primer summarizes HWC concepts and history and compares HWC types and its potential role in promoting, supporting, and improving the well-being, clinical outcomes, and quality of life of the pertinent stakeholders. This primer also highlights current and potential areas of application of HWC within different subpopulations and healthcare-related settings.

A Systematic Review of the Literature on Health and Wellness Coaching: Defining a Key Behavioral intervention in Healthcare

2013 ◽  
pp. 130712120243000 ◽  
Author(s):  
Ruth Q Wolever ◽  
Leigh Ann Simmons ◽  
Gary A Sforzo ◽  
Diana Dill ◽  
Miranda Kaye ◽  
...  
Keyword(s):  
Systematic Review ◽  
Behavioral Intervention ◽  
Health And Wellness ◽  
Review Of The Literature ◽  
Wellness Coaching

scholarly journals Compendium of the Health and Wellness Coaching Literature

2017 ◽  
Vol 12 (6) ◽  
pp. 436-447 ◽  
Author(s):  
Gary A. Sforzo ◽  
Miranda P. Kaye ◽  
Irina Todorova ◽  
Sebastian Harenberg ◽  
Kyle Costello ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Behavior Change ◽  
Health Care Professionals ◽  
Health And Wellness ◽  
Inclusion Criteria ◽  
Wellness Coaching ◽  
Treatment Of Diabetes ◽  
Definition Of

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.

scholarly journals AB0 BLOOD TYPES AND MALIGNANT COLORECTAL NEOPLASMS OF DIFFERENT LOCATION: A RETROSPECTIVE ANALYSIS OF 1570 CASES

2017 ◽  
Vol 72 (6) ◽  
pp. 458-465
Author(s):  
R. A. Kerimov ◽  
B. D. Seksenbayev ◽  
O. V. Galimov ◽  
B. K. Nurmashev ◽  
M. E. Znanteyev
Keyword(s):  
Colorectal Cancer ◽  
Logistic Regression ◽  
Retrospective Analysis ◽  
Odds Ratio ◽  
Malignant Tumors ◽  
Multinomial Logistic Regression ◽  
Statistical Significance ◽  
Blood Type ◽  
Blood Types ◽  
Significant Difference

Background: AB0 blood type antigens are unequally expressed in different portions of the colon resulting in so-called proximal-distal gradient. In most research studies considering the link between blood types and colorectal cancer, this gradient has not been taken into account. In the present context the findings of such studies are not convincing, no evidence-based results are reflected in literature. Valid studies of this association require antigenic distribution of the colon and malignant tumor location to be taken into account.Aim: To assess the possible relation between AB0 blood type antigens and malignant tumors located in different parts of the large intestine.Materials and methods: We performed a case-control study with retrospective analysis of medical records on patients with the presented disease (cases) and patients who did not suffer from it (controls). Required data was obtained from regional oncological centers of South Kazakhstan, Karaganda, East Kazakhstan, and Mangystau regions. Every third case of colorectal cancer registered in 2011−2016 years was included in the survey. The studied association was estimated by means of a chi-square test. A multinomial logistic regression was used to calculate the odds ratio (OR) with confounding risk factors to be taken into account. Shares of the samples were compared by means of Student’s t-test. A critical level of statistical significance (p-value) was considered to be 0.05.Results: Each group included 1570 patients. Gender, age, and ethnic distribution did not differ statistically in cases and controls (p0.4 for all comparisons). When blood type distributions were compared between groups regardless of tumor locations, any significant difference was not revealed (p=0.141). When similar calculations were applied to specific parts of the large intestine, the association between 0 blood type and malignancies of distal portions of the colon was demonstrated (p=0.0002). When we calculate the odds ratio for the disease development in the colon parts (using a multinomial logistic regression), the following results were obtained: 1.518 (p=0.004) for 0, 0.781 (p=0.099) for A, 0.785 (p=0.143) for B, and 0.965 (p=0.884) for AB blood types.Conclusions: The results of the present study revealed a statistical correlation between the 0 blood type and malignant tumors located in the distal portions of the colon.

scholarly journals 392. Predictors of Mortality in Hospitalized Patients with COVID-19; A Single Centered Retrospective Analysis

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S265-S266
Author(s):  
Farah N Harmouch ◽  
Kashyap Shah ◽  
Harsh Goel
Keyword(s):  
Logistic Regression ◽  
Multivariate Analysis ◽  
Retrospective Analysis ◽  
Inflammatory Markers ◽  
Clinical Characteristics ◽  
Conditional Logistic Regression ◽  
Hospitalized Patients ◽  
University Hospital ◽  
Categorical Variables ◽  
Predictors Of Mortality

Abstract Background The Coronavirus disease-2019 (COVID-19) has been responsible for the death of over 400,000 people with a continuous rise in prevalence and mortality globally. Identifying hospitalized patients at high mortality risk is critical for triage and health-care resource management regionally, nationally, and globally. We present a retrospective analysis of predictors of mortality in hospitalized COVID-19 patients. Methods Electronic health records (EHR) of patients admitted between March 1 and April 18, 2020 to St. Luke’s University Hospital with a primary diagnosis of COVID-19 were reviewed for medical co-morbidities and initial biochemical/inflammatory markers. Survivors vs non-survivors were compared using χ 2 test, Student’s t-test, and Mann-Whitney U-test as appropriate. Univariate logistic regression was used to identify candidate variables for multivariate analysis, which were then included in stepwise backward logistic regression. Statistical analyses were done on SPSS v26 software (IBM, Armonk, NY). Results Clinical characteristics, biochemical abnormalities and results of univariate regression in our cohort of 560 patients are noted in table 1. Multivariate regression revealed age, congestive heart failure (CHF), and creatinine≥ 1.5 mg/dl as significant predictors of mortality while race (Caucasian), vascular disease, lymphopenia, and elevated ferritin approached significance (Table 2). Table 1: Baseline clinical characteristics, overall and by mortality. Continuous variables are presented as median (25th-75th percentile), and categorical variables as n (%) Significance of difference between subgroups (survivors versus non-survivors) *p≤0.05, **p≤0.01, ***p≤0.001 Table 2: Results of stepwise backward conditional logistic regression for predicting mortality among hospitalized COVID-19 patients. (n=334, 287 survivors and 47 non-survivors). ALC – Absolute lymphocyte count, S.E. – Standard error of B. Conclusion We present one of the largest cohorts to date of hospitalized COVID-19 patients. Age, CHF, and renal disease were significant independent predictors of mortality. Though several inflammatory markers (d-dimer, CRP, procalcitonin) initially predicted mortality, they failed in multivariate analysis, questioning their role in risk-stratifying COVID-19 hospitalized patients. Interestingly, IL-6 used in those severely ill patients to assess candidacy for IL-6 inhibitor therapy (Tocilizumab) failed to predict mortality in our study. Our analysis was limited due to its retrospective nature and unfortunately large amounts of data were missing for some variables (ESR, BNP, IL-6 levels). The missing data was due to rapidly evolving institutional protocols early during the pandemic, leading to non-uniform assessment of these markers. Disclosures All Authors: No reported disclosures

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