Gratitude at Work: Prospective Cohort Study of a Web-Based, Single-Exposure Well-Being Intervention for Health Care Workers.

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2020-05-14

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Abstract

BACKGROUND:Emotional exhaustion (EE) in health care workers is common and consequentially linked to lower quality of care. Effective interventions to address EE are urgently needed. OBJECTIVE:This randomized single-exposure trial examined the efficacy of a gratitude letter-writing intervention for improving health care workers' well-being. METHODS:A total of 1575 health care workers were randomly assigned to one of two gratitude letter-writing prompts (self- vs other focused) to assess differential efficacy. Assessments of EE, subjective happiness, work-life balance, and tool engagement were collected at baseline and 1-week post intervention. Participants received their EE score at baseline and quartile benchmarking scores. Paired-samples t tests, independent t tests, and correlations explored the efficacy of the intervention. Linguistic Inquiry and Word Count software assessed the linguistic content of the gratitude letters and associations with well-being. RESULTS:Participants in both conditions showed significant improvements in EE, happiness, and work-life balance between the intervention and 1-week follow-up (P<.001). The self-focused (vs other) instruction conditions did not differentially predict improvement in any of the measures (P=.91). Tool engagement was high, and participants reporting higher motivation to improve their EE had higher EE at baseline (P<.001) and were more likely to improve EE a week later (P=.03). Linguistic analyses revealed that participants high on EE at baseline used more negative emotion words in their letters (P=.005). Reduction in EE at the 1-week follow-up was predicted at the level of a trend by using fewer first-person (P=.06) and positive emotion words (P=.09). No baseline differences were found between those who completed the follow-up assessment and those who did not (Ps>.05). CONCLUSIONS:This single-exposure gratitude letter-writing intervention appears to be a promising low-cost, brief, and meaningful tool to improve the well-being of health care workers.

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10.2196/15562

Publication Info

Adair, Kathryn C, Larissa G Rodriguez-Homs, Sabran Masoud, Paul J Mosca and J Bryan Sexton (2020). Gratitude at Work: Prospective Cohort Study of a Web-Based, Single-Exposure Well-Being Intervention for Health Care Workers. Journal of medical Internet research, 22(5). p. e15562. 10.2196/15562 Retrieved from https://hdl.handle.net/10161/23681.

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Scholars@Duke

Masoud

Sabran Masoud

House Staff
Mosca

Paul Joseph Mosca

Associate Professor of Surgery

My research focuses on three areas. One is the development of more effective and entirely novel treatments for melanoma. I have a special interest in immunotherapy, novel targeted molecular therapies, and regional chemotherapy for advanced melanoma of the arm or leg. Another area of interest is palliative surgery for cancer with an emphasis on understanding the optimal role and application of this type of surgery in the care of advanced malignancy. A third area of interest is quality and patient safety with an emphasis on communication and work culture.

Sexton

John Bryan Sexton

Associate Professor in Psychiatry and Behavioral Sciences

Bryan is the Director of the Duke Center for the Advancement of Well-being Science.  He leads the efforts around research, training and coaching, guiding quality improvement and well-being activities.  

 

A psychologist member of the Department of Psychiatry, Bryan is a psychometrician and spends time developing methods of assessing and improving safety culture, teamwork, leadership and especially work-force well-being.  Currently, he is disseminating the results from a successful NIH R01 grant that used RCTs to show that we can cause enduring improvements in healthcare worker well-being. 

 

A perpetually recovering father of four, he enjoys running, using hand tools on wood, books on Audible, and hearing particularly good explanations of extremely complicated topics.


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