Diplomate Spotlight Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook Read Opening Doors with Board Certification: A Conversation with Long Standing Diplomate Joseph Cook
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Home Research Research Library How Early Career Family Medicine Women Physicians Negotiate Their First Job After Residency. How Early Career Family Medicine Women Physicians Negotiate Their First Job After Residency. 2024 Author(s) Koempel, Annie, Filippi, Melissa K, Byrd, Madeline, Bazemore, Emma, Siddiqi, Anam, and Jabbarpour, Yalda Topic(s) Education & Training, and Achieving Health System Goals Keyword(s) Physician Experience (Burnout / Satisfaction), and Qualitative Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine BACKGROUND: Nested within a growing body of evidence of a gender pay gap in medicine are more alarming recent findings from family medicine: a gender pay gap of 16% can be detected at a very early career stage. This article explores qualitative evidence of women’s experiences negotiating for their first job out of residency to ascertain women’s engagement with and approach to the negotiation process. METHODS: We recruited family physicians who graduated residency in 2019 and responded to the American Board of Family Medicine 2022 graduate survey. We developed a semistructured interview guide following a modified life history approach to uncover women’s experiences through the transitory stages from residency to workforce. A qualitative researcher used Zoom to interview 19 geographically and racially diverse early career women physicians. Interviews were transcribed verbatim and analyzed using NVivo software following an Inductive Content Analysis approach. RESULTS: Three main themes emerged from the data. First, salary was found to be nonnegotiable, exemplified by participants’ inability to change initial salary offers. Second, the role of peer support throughout residency and early career was crucial to uncovering and rectifying salary inequity. Third, a pay expectation gap was identified among women from minority and low-income households. CONCLUSION: To rectify the gender pay gap in medicine, a systems-level approach is required. This can be achieved through various levels of interventions: societally expanding the use of and removing the stigma around parental leave, recognizing the importance of contributions not currently valued by productivity-based payment models, examining assumptions about leadership; and institutionally moving away from fee-for-service systems, encouraging flexible schedules, increasing salary transparency, and improving advancement transparency. Read More ABFM Research Read all 2013 Uncloaking family medicine research: so much to know, so little time Go to Uncloaking family medicine research: so much to know, so little time 1995 Educational resource sharing and collaborative training in family practice and internal medicine. A statement from the American Boards of Internal Medicine and Family Practice Go to Educational resource sharing and collaborative training in family practice and internal medicine. A statement from the American Boards of Internal Medicine and Family Practice 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care 2021 Distribution of Physician Specialties by Rurality Go to Distribution of Physician Specialties by Rurality
Author(s) Koempel, Annie, Filippi, Melissa K, Byrd, Madeline, Bazemore, Emma, Siddiqi, Anam, and Jabbarpour, Yalda Topic(s) Education & Training, and Achieving Health System Goals Keyword(s) Physician Experience (Burnout / Satisfaction), and Qualitative Volume Journal of the American Board of Family Medicine Source Journal of the American Board of Family Medicine
ABFM Research Read all 2013 Uncloaking family medicine research: so much to know, so little time Go to Uncloaking family medicine research: so much to know, so little time 1995 Educational resource sharing and collaborative training in family practice and internal medicine. A statement from the American Boards of Internal Medicine and Family Practice Go to Educational resource sharing and collaborative training in family practice and internal medicine. A statement from the American Boards of Internal Medicine and Family Practice 2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care 2021 Distribution of Physician Specialties by Rurality Go to Distribution of Physician Specialties by Rurality
2013 Uncloaking family medicine research: so much to know, so little time Go to Uncloaking family medicine research: so much to know, so little time
1995 Educational resource sharing and collaborative training in family practice and internal medicine. A statement from the American Boards of Internal Medicine and Family Practice Go to Educational resource sharing and collaborative training in family practice and internal medicine. A statement from the American Boards of Internal Medicine and Family Practice
2024 What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care Go to What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care
2021 Distribution of Physician Specialties by Rurality Go to Distribution of Physician Specialties by Rurality