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2.
Aesthet Surg J ; 38(7): 793-799, 2018 Jun 13.
Article in English | MEDLINE | ID: mdl-29548007

ABSTRACT

BACKGROUND: The recently increased minimum aesthetic surgery requirements set by the Plastic Surgery Residency Review Committee of the Accreditation Council for Graduate Medical Education highlight the importance of aesthetic surgery training for plastic surgery residents. Participation in resident aesthetic surgery clinics has become an important tool to achieve this goal. Yet, there is little literature on the current structure of these clinics. OBJECTIVES: The authors sought to evaluate current practices of aesthetic resident-run clinics in the United States. METHODS: A survey examining specific aspects of chief resident clinics was distributed to 70 plastic surgery resident program directors in the United States. Thirty-five questions sought to delineate clinic structure, procedures and services offered, financial cost to the patient, and satisfaction and educational benefit derived from the experience. RESULTS: Fifty-two questionnaires were returned, representing 74.2% of programs surveyed. Thirty-two (63%) reported having a dedicated resident aesthetic surgery clinic at their institution. The most common procedures performed were abdominoplasty (n = 20), breast augmentation (n = 19), and liposuction (n = 16). Most clinics offered neuromodulators (n = 29) and injectable fillers (n = 29). The most common billing method used was a 50% discount on surgeon fee, with the patient being responsible for the entirety of hospital and anesthesia fees. Twenty-six respondents reported feeling satisfied or very satisfied with their resident aesthetic clinic. CONCLUSIONS: The authors found aesthetic chief resident clinics to differ greatly in their structure. Yet the variety of procedures and services offered makes participation in these clinics an effective training method for the development of both aesthetic surgical technique and resident autonomy.


Subject(s)
Internship and Residency/organization & administration , Plastic Surgery Procedures/education , Student Run Clinic/organization & administration , Surgery, Plastic/education , Humans , Internship and Residency/statistics & numerical data , Physician Executives/statistics & numerical data , Practice Patterns, Physicians'/economics , Practice Patterns, Physicians'/organization & administration , Practice Patterns, Physicians'/statistics & numerical data , Program Evaluation , Plastic Surgery Procedures/economics , Student Run Clinic/economics , Student Run Clinic/statistics & numerical data , Surveys and Questionnaires/statistics & numerical data , United States , Workload/statistics & numerical data
3.
Am J Surg ; 212(4): 691-699, 2016 Oct.
Article in English | MEDLINE | ID: mdl-27712668

ABSTRACT

BACKGROUND: This study examines the impact of marriage and next of kin identity on timing of diagnosis, treatment, and survival in cancer patients. METHODS: Retrospective review of patients with 5 solid tumor types treated at an academic medical center from 2002 to 2012. Exposures of interest were marriage status at time of diagnosis and familial relationship with next of kin (NOK). Association with overall survival determined via Cox regressions and with early diagnosis (stage I to II) and receipt of surgery via logistic regressions. RESULTS: Marriage was not associated with early diagnosis for any cancer type. After adjustment, being married was associated with significantly higher odds of receiving surgery only for pancreatic cancer and with improved survival for breast and lung cancers. Having a nuclear relationship with NOK was not associated with any outcomes. CONCLUSIONS: Marriage status was associated with improved outcomes for certain cancers whereas familial relationship with NOK was not.


Subject(s)
Family , Marital Status , Neoplasms/mortality , Social Support , Aged , Antineoplastic Agents, Hormonal/administration & dosage , Boston/epidemiology , Chemotherapy, Adjuvant/statistics & numerical data , Early Diagnosis , Female , Humans , Immunotherapy/statistics & numerical data , Logistic Models , Male , Neoplasms/pathology , Neoplasms/therapy , Radiotherapy, Adjuvant/statistics & numerical data , Registries , Retrospective Studies
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