- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04070456
Clinician Burnout and Social Determinants
Addressing Social Determinants of Health to Reduce Physician Burnout
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Clinician burnout has risen over the last decade, and studies have found that almost 50% of U.S. physicians show signs of burnout. Burnout is characterized by emotional exhaustion, feelings of cynicism, and patient detachment. Clinicians at the front lines of care, such as family medicine and internal medicine, are at highest risk, and burnout is associated with an increased risk of cardiovascular disease, alcoholism, and suicide. Burnout also negatively impacts patient care. The drivers of burnout are complex, and a growing body of research has focused on developing strategies to address both clinician and organizational factors. One potential contributor to clinician burnout that has received less attention is their patients' SDH.
The SDH, or the circumstances in which people are born, grow, live, and age, have a profound impact on morbidity and mortality. Increasingly, national organizations have called for healthcare systems to address SDH, such as food and housing insecurity, to improve population health. Although clinicians recognize the importance of SDH on patient care, clinicians feel they do not have the time, knowledge, or tools to effectively address SDH, which can leading to feelings of distress and helplessness in addressing patients' unmet social needs. The SDH can lead to increased patient complexity and clinician workload. Also, the seemingly insurmountable social needs faced by many patients are a major contributor to the decline in medicine residents choosing a career in primary care. Thus, the lack of a tool to assist the primary care team in addressing SDH is a critical problem that can negatively affect both patients and clinicians.
Our long-term goal is to enhance the primary care teams' ability to address the SDH by utilizing a mobile health tool that can assist the team in addressing patients' unmet social needs in clinical settings. Mobile health tools, such as tablets, have shown promise in reducing disparities in care and addressing unmet social needs in pediatric practices. However, there is little data about how addressing SDH affects physician burnout. Mobile health tools have the potential to collect patient-reported data and connect patients to appropriate support personnel without interfering with clinic workflow and enhance the primary care teams' ability to provide patients with resources. The objective of this study is to test the impact of a tablet-based platform that enhances the role of support staff to address SDH on clinician burnout.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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North Carolina
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Winston-Salem, North Carolina, United States, 27101
- Wake Forest Downtown Health Plaza (DHP)
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Winston-Salem, North Carolina, United States, 27104
- Family Medicine-Piedmont Plaza
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Winston-Salem, North Carolina, United States, 27157
- Internal Medicine-Janeway Tower
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- All clinicians and primary care teams at participating sites will be eligible
Exclusion Criteria:
- There are no specific exclusion criteria
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Health Services Research
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Intervention sites-Tablet-based SDH tool
All clinicians and primary care teams at a practice that are randomized to the intervention will receive the tablet-based SDH tool.
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A tablet-based SDH tool, which integrates responses into the EpicCare electronic health record (EHR).
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No Intervention: Control sites
Care as usual, no tablet-based SDH tool.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Mini-Z Scale
Time Frame: Baseline
|
This scales measures clinician satisfaction.
Total score 10 to 45. Higher scores denotes better outcome.
|
Baseline
|
Mini-Z Scale
Time Frame: 6 month post baseline
|
This scales measures clinician satisfaction.
Total score 10 to 45. Higher scores denotes better outcome.
|
6 month post baseline
|
Mini-Z Scale
Time Frame: 12 month post baseline
|
This scales measures clinician satisfaction.
Total score 10 to 45. Higher scores denotes better outcome.
|
12 month post baseline
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
---|---|
The number of clinicians who report a joyful workplace
Time Frame: Baseline
|
Baseline
|
The number of clinicians who report a joyful workplace
Time Frame: 6 months post baseline
|
6 months post baseline
|
The number of clinicians who report a joyful workplace
Time Frame: 12 months post baseline
|
12 months post baseline
|
The number of clinicians who report a supportive practice
Time Frame: Baseline
|
Baseline
|
The number of clinicians who report a supportive practice
Time Frame: 6 months post baseline
|
6 months post baseline
|
The number of clinicians who report a supportive practice
Time Frame: 12 months post baseline
|
12 months post baseline
|
The number of clinicians who report a good work pace
Time Frame: Baseline
|
Baseline
|
The number of clinicians who report a good work pace
Time Frame: 6 months post baseline
|
6 months post baseline
|
The number of clinicians who report a good work pace
Time Frame: 12 months post baseline
|
12 months post baseline
|
Collaborators and Investigators
Investigators
- Principal Investigator: Deepak Palakshappa, MD, Wake Forest University Health Sciences
Publications and helpful links
General Publications
- Chetty R, Stepner M, Abraham S, Lin S, Scuderi B, Turner N, Bergeron A, Cutler D. The Association Between Income and Life Expectancy in the United States, 2001-2014. JAMA. 2016 Apr 26;315(16):1750-66. doi: 10.1001/jama.2016.4226. Erratum In: JAMA. 2017 Jan 3;317(1):90.
- Gottlieb L, Hessler D, Long D, Amaya A, Adler N. A randomized trial on screening for social determinants of health: the iScreen study. Pediatrics. 2014 Dec;134(6):e1611-8. doi: 10.1542/peds.2014-1439. Epub 2014 Nov 3.
- Gottlieb LM, Wing H, Adler NE. A Systematic Review of Interventions on Patients' Social and Economic Needs. Am J Prev Med. 2017 Nov;53(5):719-729. doi: 10.1016/j.amepre.2017.05.011. Epub 2017 Jul 5.
- Miller DP Jr, Weaver KE, Case LD, Babcock D, Lawler D, Denizard-Thompson N, Pignone MP, Spangler JG. Usability of a Novel Mobile Health iPad App by Vulnerable Populations. JMIR Mhealth Uhealth. 2017 Apr 11;5(4):e43. doi: 10.2196/mhealth.7268.
- Miller DP Jr, Denizard-Thompson N, Weaver KE, Case LD, Troyer JL, Spangler JG, Lawler D, Pignone MP. Effect of a Digital Health Intervention on Receipt of Colorectal Cancer Screening in Vulnerable Patients: A Randomized Controlled Trial. Ann Intern Med. 2018 Apr 17;168(8):550-557. doi: 10.7326/M17-2315. Epub 2018 Mar 13.
- Shanafelt TD, Balch CM, Bechamps G, Russell T, Dyrbye L, Satele D, Collicott P, Novotny PJ, Sloan J, Freischlag J. Burnout and medical errors among American surgeons. Ann Surg. 2010 Jun;251(6):995-1000. doi: 10.1097/SLA.0b013e3181bfdab3.
- Matthew-Maich N, Harris L, Ploeg J, Markle-Reid M, Valaitis R, Ibrahim S, Gafni A, Isaacs S. Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review. JMIR Mhealth Uhealth. 2016 Jun 9;4(2):e29. doi: 10.2196/mhealth.5127.
- Panagioti M, Geraghty K, Johnson J, Zhou A, Panagopoulou E, Chew-Graham C, Peters D, Hodkinson A, Riley R, Esmail A. Association Between Physician Burnout and Patient Safety, Professionalism, and Patient Satisfaction: A Systematic Review and Meta-analysis. JAMA Intern Med. 2018 Oct 1;178(10):1317-1331. doi: 10.1001/jamainternmed.2018.3713. Erratum In: JAMA Intern Med. 2019 Apr 1;179(4):596.
- Shanafelt TD, Noseworthy JH. Executive Leadership and Physician Well-being: Nine Organizational Strategies to Promote Engagement and Reduce Burnout. Mayo Clin Proc. 2017 Jan;92(1):129-146. doi: 10.1016/j.mayocp.2016.10.004. Epub 2016 Nov 18.
- Hassan A, Scherer EA, Pikcilingis A, Krull E, McNickles L, Marmon G, Woods ER, Fleegler EW. Improving Social Determinants of Health: Effectiveness of a Web-Based Intervention. Am J Prev Med. 2015 Dec;49(6):822-31. doi: 10.1016/j.amepre.2015.04.023. Epub 2015 Jul 26.
- Shanafelt TD, Hasan O, Dyrbye LN, Sinsky C, Satele D, Sloan J, West CP. Changes in Burnout and Satisfaction With Work-Life Balance in Physicians and the General US Working Population Between 2011 and 2014. Mayo Clin Proc. 2015 Dec;90(12):1600-13. doi: 10.1016/j.mayocp.2015.08.023. Erratum In: Mayo Clin Proc. 2016 Feb;91(2):276.
- Dyrbye LN, Trockel M, Frank E, Olson K, Linzer M, Lemaire J, Swensen S, Shanafelt T, Sinsky CA. Development of a Research Agenda to Identify Evidence-Based Strategies to Improve Physician Wellness and Reduce Burnout. Ann Intern Med. 2017 May 16;166(10):743-744. doi: 10.7326/M16-2956. Epub 2017 Apr 18. No abstract available.
- Shanafelt TD, Mungo M, Schmitgen J, Storz KA, Reeves D, Hayes SN, Sloan JA, Swensen SJ, Buskirk SJ. Longitudinal Study Evaluating the Association Between Physician Burnout and Changes in Professional Work Effort. Mayo Clin Proc. 2016 Apr;91(4):422-31. doi: 10.1016/j.mayocp.2016.02.001.
- Marmot MG, Bosma H, Hemingway H, Brunner E, Stansfeld S. Contribution of job control and other risk factors to social variations in coronary heart disease incidence. Lancet. 1997 Jul 26;350(9073):235-9. doi: 10.1016/s0140-6736(97)04244-x.
- Marmot M, Shipley M, Brunner E, Hemingway H. Relative contribution of early life and adult socioeconomic factors to adult morbidity in the Whitehall II study. J Epidemiol Community Health. 2001 May;55(5):301-7. doi: 10.1136/jech.55.5.301.
- Shanafelt TD, Boone S, Tan L, Dyrbye LN, Sotile W, Satele D, West CP, Sloan J, Oreskovich MR. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med. 2012 Oct 8;172(18):1377-85. doi: 10.1001/archinternmed.2012.3199.
- C M, S J, M L. Maslach Burnout Inventory Manual. Consulting Psychologist Press. 1996;3rd edition.
- Shanafelt TD, Balch CM, Dyrbye L, Bechamps G, Russell T, Satele D, Rummans T, Swartz K, Novotny PJ, Sloan J, Oreskovich MR. Special report: suicidal ideation among American surgeons. Arch Surg. 2011 Jan;146(1):54-62. doi: 10.1001/archsurg.2010.292.
- Shanafelt TD, Gradishar WJ, Kosty M, Satele D, Chew H, Horn L, Clark B, Hanley AE, Chu Q, Pippen J, Sloan J, Raymond M. Burnout and career satisfaction among US oncologists. J Clin Oncol. 2014 Mar 1;32(7):678-86. doi: 10.1200/JCO.2013.51.8480. Epub 2014 Jan 27.
- Shanafelt TD, Dyrbye LN, West CP, Sinsky CA. Potential Impact of Burnout on the US Physician Workforce. Mayo Clin Proc. 2016 Nov;91(11):1667-1668. doi: 10.1016/j.mayocp.2016.08.016. No abstract available.
- Eisenstein L. To Fight Burnout, Organize. N Engl J Med. 2018 Aug 9;379(6):509-511. doi: 10.1056/NEJMp1803771. Epub 2018 Jun 20. No abstract available.
- Byhoff E, Freund KM, Garg A. Accelerating the Implementation of Social Determinants of Health Interventions in Internal Medicine. J Gen Intern Med. 2018 Feb;33(2):223-225. doi: 10.1007/s11606-017-4230-8. Epub 2017 Nov 29. No abstract available.
- Long T, Chaiyachati K, Bosu O, Sircar S, Richards B, Garg M, McGarry K, Solomon S, Berman R, Curry L, Moriarty J, Huot S. Why Aren't More Primary Care Residents Going into Primary Care? A Qualitative Study. J Gen Intern Med. 2016 Dec;31(12):1452-1459. doi: 10.1007/s11606-016-3825-9. Epub 2016 Aug 3.
- Gottlieb LM, Francis DE, Beck AF. Uses and Misuses of Patient- and Neighborhood-level Social Determinants of Health Data. Perm J. 2018;22:18-078. doi: 10.7812/TPP/18-078.
- Alley DE, Asomugha CN, Conway PH, Sanghavi DM. Accountable Health Communities--Addressing Social Needs through Medicare and Medicaid. N Engl J Med. 2016 Jan 7;374(1):8-11. doi: 10.1056/NEJMp1512532. Epub 2016 Jan 5. No abstract available.
- Garg A, Boynton-Jarrett R, Dworkin PH. Avoiding the Unintended Consequences of Screening for Social Determinants of Health. JAMA. 2016 Aug 23-30;316(8):813-4. doi: 10.1001/jama.2016.9282. No abstract available.
- Garg A, Jack B, Zuckerman B. Addressing the social determinants of health within the patient-centered medical home: lessons from pediatrics. JAMA. 2013 May 15;309(19):2001-2. doi: 10.1001/jama.2013.1471. No abstract available.
- Nuruzzaman N, Broadwin M, Kourouma K, Olson DP. Making the social determinants of health a routine part of medical care. J Health Care Poor Underserved. 2015 May;26(2):321-7. doi: 10.1353/hpu.2015.0036. No abstract available.
- Services USDoHaH. HealthyPeople 2020. 2017; https://http://www.healthypeople.gov/2020/topics-objectives/topic/nutrition-and-weight-status. Accessed Sept 30, 2017.
- DeVoe JE, Bazemore AW, Cottrell EK, Likumahuwa-Ackman S, Grandmont J, Spach N, Gold R. Perspectives in Primary Care: A Conceptual Framework and Path for Integrating Social Determinants of Health Into Primary Care Practice. Ann Fam Med. 2016 Mar;14(2):104-8. doi: 10.1370/afm.1903. No abstract available.
- Wu S, Ell K, Jin H, Vidyanti I, Chou CP, Lee PJ, Gross-Schulman S, Sklaroff LM, Belson D, Nezu AM, Hay J, Wang CJ, Scheib G, Di Capua P, Hawkins C, Liu P, Ramirez M, Wu BW, Richman M, Myers C, Agustines D, Dasher R, Kopelowicz A, Allevato J, Roybal M, Ipp E, Haider U, Graham S, Mahabadi V, Guterman J. Comparative Effectiveness of a Technology-Facilitated Depression Care Management Model in Safety-Net Primary Care Patients With Type 2 Diabetes: 6-Month Outcomes of a Large Clinical Trial. J Med Internet Res. 2018 Apr 23;20(4):e147. doi: 10.2196/jmir.7692.
- Clark DO, Srinivas P, Bodke K, Keith N, Hood S, Tu W. Addressing people and place microenvironments in weight loss disparities (APP-Me): Design of a randomized controlled trial testing timely messages for weight loss behavior in low income Black and White Women. Contemp Clin Trials. 2018 Apr;67:74-80. doi: 10.1016/j.cct.2018.01.006. Epub 2018 Jan 31.
- Graham GN, Ostrowski M, Sabina AB. Population health-based approaches to utilizing digital technology: a strategy for equity. J Public Health Policy. 2016 Nov;37(Suppl 2):154-166. doi: 10.1057/s41271-016-0012-5.
- Kaufman A. Theory vs Practice: Should Primary Care Practice Take on Social Determinants of Health Now? Yes. Ann Fam Med. 2016 Mar;14(2):100-1. doi: 10.1370/afm.1915. No abstract available.
- Lyles CR, Altschuler A, Chawla N, Kowalski C, McQuillan D, Bayliss E, Heisler M, Grant RW. User-Centered Design of a Tablet Waiting Room Tool for Complex Patients to Prioritize Discussion Topics for Primary Care Visits. JMIR Mhealth Uhealth. 2016 Sep 14;4(3):e108. doi: 10.2196/mhealth.6187.
- Patel V, Hale TM, Palakodeti S, Kvedar JC, Jethwani K. Prescription Tablets in the Digital Age: A Cross-Sectional Study Exploring Patient and Physician Attitudes Toward the Use of Tablets for Clinic-Based Personalized Health Care Information Exchange. JMIR Res Protoc. 2015 Oct 19;4(4):e116. doi: 10.2196/resprot.3806.
- Linzer M, Poplau S, Babbott S, Collins T, Guzman-Corrales L, Menk J, Murphy ML, Ovington K. Worklife and Wellness in Academic General Internal Medicine: Results from a National Survey. J Gen Intern Med. 2016 Sep;31(9):1004-10. doi: 10.1007/s11606-016-3720-4. Epub 2016 May 2.
- Denizard-Thompson NR, Singh S, Stevens SR, Miller DP, Wofford JL. iPod technology for teaching patients about anticoagulation: a pilot study of mobile computer-assisted patient education. Prim Health Care Res Dev. 2012 Jan;13(1):42-7. doi: 10.1017/S146342361100034X. Epub 2011 Aug 22.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB00059798
- 1902014 (Other Grant/Funding Number: American Medical Association)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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