Burnout Clinical Trial
Official title:
Are Personal Smartphones Hurting Work-Life Balance for Nurse Managers?
| NCT number | NCT06343584 |
| Other study ID # | 023.NUR.2021.M |
| Secondary ID | |
| Status | Completed |
| Phase | |
| First received | |
| Last updated | |
| Start date | July 1, 2021 |
| Est. completion date | May 6, 2022 |
| Verified date | April 2022 |
| Source | Methodist Health System |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Observational |
For leadership positions with only a handful of staff under their direct chain of command, this may not be all-consuming and detrimental to work-life balance. But for NMs with upwards of 100 direct reports, this can make for a never-ending stream of contact points. This study will implement several communication and behavioral strategies to determine how using provided smartphone tools impact work-life balance and professional burnout.
| Status | Completed |
| Enrollment | 6 |
| Est. completion date | May 6, 2022 |
| Est. primary completion date | May 6, 2022 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility | Inclusion Criteria: - Participant must hold the title of Nurse Manager or Interim Nurse Manager at Methodist Mansfield Medical Center - Participant must have greater than 50 direct reports Exclusion Criteria: - Participant expects to separate employment with Methodist Health System prior to the conclusion of the study - Participant does not use their personal smartphone to communicate with direct reports |
| Country | Name | City | State |
|---|---|---|---|
| United States | Methodist Mansfield Medical Center | Mansfield | Texas |
| Lead Sponsor | Collaborator |
|---|---|
| Methodist Health System |
United States,
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | • Impact of smartphone tool utilization will be measured using a pre-study survey and post-study survey using the Professional Quality of Life (ProQOL) Scale (Stamm, 2009). | • Impact of smartphone tool utilization will be measured using a pre-study survey and post-study survey using the Professional Quality of Life (ProQOL) Scale (Stamm, 2009). | 6 months | |
| Secondary | • Participants in Group 1 will self-report on the post-study survey (Appendix D1) the number of tools implemented during the study duration. | • Participants in Group 1 will self-report on the post-study survey (Appendix D1) the number of tools implemented during the study duration. | 6 months | |
| Secondary | • Participants in Group 1 will self-report on the post-study survey (Appendix D1) the frequency of tool utilization during the study duration using a Likert scale. | • Participants in Group 1 will self-report on the post-study survey (Appendix D1) the frequency of tool utilization during the study duration using a Likert scale. | 6 months | |
| Secondary | • Participants in Group 2 will self-report on the post-study survey (Appendix D2) using the ProQOL Scale. | • Participants in Group 2 will self-report on the post-study survey (Appendix D2) using the ProQOL Scale. | 6 months | |
| Secondary | • Responses to the post-study survey from participants in Group 2 will be compared to participants in Group 1 to determine if utilizing a separate work smartphone during business hours has a greater improvement on work-life balance and burnout. | • Responses to the post-study survey from participants in Group 2 will be compared to participants in Group 1 to determine if utilizing a separate work smartphone during business hours has a greater improvement on work-life balance and burnout. | 6 months |
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