Abstract
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.
Purpose
HealthPartners population well-being health coaching program provides coaching to manage weight, nicotine use, sleep, stress, back health, family health, high blood pressure, high cholesterol, and physical activity. All health coaches are certified as wellness and health coaches and some are also certified by the National Board for Health and Wellness Coaching. Depending on the level of support requested by the participant, sessions are held every 1–6 weeks. Initial phone sessions are 30 min in length; subsequent sessions are 15 min. The HealthPartners program allows participants to meet with the same coach for all their sessions. Most participants can qualify for a health insurance benefit if they participate in at least 3 coaching sessions.
As the COVID-19 pandemic disrupted in-person consultations in 2020, digital health care interventions expanded, 1 and patients increasingly sought on-demand, remote interactions. 2 It has been long observed that learning preferences differ,3,4 and expecting that adding a coaching modality would increase participation rates is consistent with the experience in smoking cessation interventions.5,6
Because many of our own participants were giving us feedback that they would prefer writing, rather than talking, to their coaches, in May 1 through August 31, 2020 we tested whether: (1) Participants who used the email option when we offered it would have a higher likelihood of completing 3 sessions by the benefit qualifying deadline than participants who did not use the email option when offered; (2) the proportion of participants completing 3 sessions during the 4 months we offered the email option, whether or not they used the email option, would be greater than the proportion completing 3 sessions during the corresponding 4 months in 2019; (3) the email option would permit coaches to simultaneously provide service to a greater number of participants.
Email coaching sessions addressed the same questions and asked for the same information as phone coaching sessions and were offered after an initial phone-based session. Both coaching modalities required that the participant set vision and action steps. As with their phone coaching, our coaches provided customized messages when responding by email. Other than responding to participants when appropriate, coaches’ responsibilities were unchanged. Here, we report the association of email coaching with participant rate of completing 3 sessions—both of participants who used email and of all participants--participant feedback, and the number of participants each coach could support when the email option was offered.
Methods
Design
This is retrospective analysis of a program enhancement.
Intervention
We added an email option to phone-based coaching during a 4-month test period.
Sample
The sample comprises employed individuals and their covered dependents who completed a health assessment and scheduled at least one HealthPartners population well-being health coaching session between January 1, 2019 and December 31, 2020.
Measures
We report 3 measures: (1) the likelihood of completing 3 sessions before their employer’s benefit qualification deadline for participants who did and those who did not use the email coaching option; (2) the total proportion of participants completing 3 sessions during the 4 months we offered the email option compared to the total proportion of participants completing 3 sessions during the corresponding months in 2019; (3) the number of participants the coaches could simultaneously service during the test period compared to the other 20 months of 2019 and 2020.
After each email coaching session, we offered a link to a survey that comprised 4 questions with rating-scale response options: “In general, how satisfied are you with email coaching?”; “Would you recommend email coaching to a friend or coworker?”; “How much has email coaching helped you meet or move towards your well-being goals?”; and an open-ended question, “What do you like or dislike about email coaching? What would make it better?”
Analysis
We used logistic regression with adjustment for gender, age, and education (college vs no college) to compare the probability that participants who used the email option would complete 3 sessions to the same probability for participants who did not use email during the 4 months that we offered the option. We dropped race and ethnicity from the models because they were not statistically associated with the dependent variables.
We used χ2 to test whether the proportion of participants who completed 3 sessions during the 4 months we offered email coaching was significantly higher than during the corresponding 4 months in 2019. We used linear regression to test whether the number of participants each coach could simultaneously support was significantly higher during the email option period compared to the same months in 2019 when the email option was not offered. We used Microsoft Excel’s Analysis ToolPak and XLMiner Analysis ToolPak to perform the statistical analyses.
For the qualitative analysis, two of us (SG and EM) used thematic analysis 7 as we independently reviewed and categorized the free text survey responses, compared our categories, and then merged them into a single set of categories.
The intervention was a quality improvement initiative and therefore not subject to IRB review.
Results
During 2019 and 2020, 10 790 unique individuals scheduled at least one coaching session; 53% of the participants were women, and the median age was 50 years. 78% of the participants self-identified as White, 4% as Asian, 7% as Black, and the remaining 11% self-identified as multiracial, another race, or chose not to answer. 6% self-identified as Hispanic or Latinx. 56% had a college degree.
When we offered the email option in May through August 2020, 6624 participants completed at least one coaching session; of these, 1962 used the email option for at least one session. The percent of participants who completed at least 3 sessions before their employer’s benefit qualification deadline was 96.5% for those who used email for at least one session and was 92.0% for participants who did not complete any email sessions (P < .0001). Participants who used email completed a slightly greater number of sessions (3.72 vs 3.45; P < .0001). The proportion of participants who completed at least 3 coaching sessions during the 4 months that we offered email coaching in 2020 (73%) was significantly higher than the proportion (67%) during the corresponding period in 2019 (P < .0001). 13% of the participants who used email coaching submitted surveys. Each survey statement was endorsed with agreement by at least 85% of the respondents. Of the 60 free-text comments, 90% were positive. Comparing the months when email coaching was offered to the other 20 months in the period of observation, each coach was, on average, able to simultaneously provide service to 43% more participants (340 vs 486 per month; P < .0001).
Discussion
When we offered an email coaching option after an initial phone session, participants who used the option were more likely to complete 3 sessions; the overall proportion completing 3 sessions, relative to the respective period in the prior year, was higher; and, each coach was able to support a larger number of participants. This suggests to us that all of the coaching stakeholders benefit from an email coaching option.
Because the study participants tend to be highly educated from a localized area and employed, the results may not generalize to individuals with other attributes. Using email was optional, so we do not know whether the results would be similar if email were the required method of communication. We also do not know at this time whether the email option was more effective, less effective, or equally effective in promoting goal achievement as phone coaching.
The extent to which unhealthy lifestyles burden the health of individuals, increase health care costs for all stakeholders, and reduce productivity makes clear the need for lifestyle intervention programs that are effective and reach individuals. While evidence suggests that text-based coaching produces outcomes comparable to telephone-based coaching, 8 other evidence suggests that email gives participants more flexibility to elaborate on their concerns and activities. 9 We have not found reports of trials that compare the impact of email vs phone coaching on goal achievement.
We postulate that giving participants an email coaching option increased participation rates for at least two other reasons: The participant can use email regardless of the time of day or day of year, and it better meets the needs of participants who are more comfortable with email than phone. The reason that our coaches could simultaneously support nearly half again as many participants when we offered email was because they were able to compose email consultations between phone calls and when a participant was a “no show” for a scheduled call. The only reference to coach productivity we were able to find in the literature is a qualitative statement that, “In general, text-based coaching uses less coach time…” 8
In conclusion, our experience suggests that offering an email coaching option, partnered with phone-based sessions by a live coach trained in behavior change techniques, has the potential to reduce costs while maintaining or increasing participant program utilization—a winning result for all stakeholders in a coaching program.
• There is evidence that increasing the number of ways in which a behavior change program is offered (touchpoints via text, email, and phone calls) increases the likelihood of success. While phone-based health coaching is a well-established modality to support behavior change, the effectiveness of coaching through email is less well documented. • When an email option is added to phone coaching, coaches can support more participants, participants who use the option are more likely to complete 3 sessions, and the overall percentage of participants who complete 3 sessions is higher. • Our experience suggests that offering an email option to phone-based coaching can reduce program costs by increasing coach productivity. It can also increase participant utilization. Whether the option increases goal attainment remains to be documented.So What?
Footnotes
Author contributions
Samantha Garrels and Elizabeth Macias extracted data from the coaching records, contributed to the manuscript text, and approved the submitted version of the manuscript. Eric Bender performed the statistical analysis and approved the submitted version of the manuscript. Joel Spoonheim contributed to the design of the analysis and approved the submitted version of the manuscript. Thomas E. Kottke contributed to the design of the analysis was responsible for developing the text, and approved the submitted version of the manuscript.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This analysis was funded by HealthPartners as one of its program development and improvement initiatives.
Ethical Approval
Because the study is a retrospective analysis of a quality improvement project, it is not considered research and is therefore not subject to IRB review.
