Franklin Dexter

Professor

Iowa State University

United States

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Franklin Dexter is a Professor at the University of Iowa, USA. His research areas include anesthesia workforce assessments, surface disinfection in anesthesia workspaces, meta-analyses of rare events, and patient satisfaction in anesthesia. He has contributed to studies on clinical performance evaluation and patient outcomes in surgical contexts. His recent work reflects significant insights into healthcare practices and safety measures in anesthesia.

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Collaborators (7)

Brent Hadder

Clinical Associate Professor

The University of Iowa

UNITED STATES

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Unyime S. Ituk

Iowa State University

UNITED STATES

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Rachel Hadler

Emory University

UNITED STATES

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Cynthia Wong

The University of Iowa Roy J and Lucille A Carver College of Medicine

UNITED STATES

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Sarah Titler

Clinical Associate Professor

The University of Iowa

UNITED STATES

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Brenda Fahy

Associate Chair, Faculty Affairs and Professional Development

University of Florida College of Medicine

UNITED STATES

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Richard Epstein

Professor

University of Miami Miller School of Medicine

UNITED STATES

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Franklin Dexter

Research Interests

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About

Articles (30)

Inpatient Postoperative Mortality: Comparing Patients Hospitalized Preoperatively to Those Having Elective Surgery

United States' anesthesia workdays in 2022–2023 – Implications for national workforce assessments

The assessment of practical and safety aspects of recommended surface disinfection and ultraviolet-C cleaning procedures for the anesthesia workspace

Incidence proportions from random-effects meta-analyses of rare events with large cluster heterogeneity, including sensitivity to the normal distribution assumption

Development and internal validation of the patient satisfaction questionnaire: Perception of Quality in Anaesthesia (PQA)-10. Comment on Br J Anaesth 2025

Evaluation of the information content of individual items' scores in the anesthesiologist supervision instrument using Cochran's Q tests and McNemar's tests to provide specific feedback to ratees in addition to reliable evaluation of clinical performance

Evaluation using Cochran’s Q tests of the information content of individual items’ scores in the nurse anesthetist work habits instrument for use in providing feedback

Limited national potential for reducing anesthesia clinician staffing for cataract surgery: a historical cohort study using a large United States anesthesia registry

Use of personalized body-worn alcohol dispenser, without practitioner feedback, on bacterial transmission, hourly hand decontamination events, and practitioner hand contamination: a multicenter randomized controlled study

Failure of preoperative data to accurately predict which patients undergoing major hepatic surgery will develop postoperative coagulation disturbances: a single-hospital retrospective cohort study

Frequencies of patient-reported sore throat, hoarseness, dysphagia, and high airway cuff pressures when manometers are used

Positive predictive value of administrative diagnosis codes, for all patient encounters in the electronic health record, to detect postoperative infections: Retrospective cohort study after cesarean delivery

Since the COVID-19 pandemic, approximately 90% of elective anesthetics have been ambulatory: a retrospective analysis of statewide data in Florida from 2010 through 2022

An analysis of ultraviolet-C light irradiation in reducing bacterial contamination of the anesthesia work area

Comparison between cold and sharp modalities for testing sensory block in neuraxial labour analgesia: a prospective observational trial

Twenty-five years of previous research establish that operating room utilization is an invalid metric of theatre productivity

Lack of validity of absolute percentage errors in estimated operating room case durations as a measure of operating room performance: a focused narrative review

Larger anesthesia practitioner per operating room ratios are needed to prevent unnecessary non-operative time than to mitigate patient risk: a narrative review

Reducing airborne transmissible diseases in perioperative environments. Comment on Br J Anaesth 2024; 133:19-23

Frequently touched sites in the intensive care unit environment returning 100 colony-forming units per surface area sampled are associated with increased risk of major bacterial pathogen detection

Systematic review with meta-analysis of relative risk of prolonged times to tracheal extubation with desflurane versus sevoflurane or isoflurane

Bacterial contamination of syringe tips after anaesthesia care with use of disinfectable needleless closed connector devices

Retrospective cohort study of anaesthesia machines shows low bacterial contamination can be achieved with surface disinfection

Associations between fresh gas flow and duration of anesthetic on the maximum potential benefit of anesthetic gas capture in operating rooms and in postanesthesia care units to capture waste anesthetic gas

Lack of useful predictors of dignity-related distress among the critically ill as assessed with the Patient Dignity Inventory

Narrative review of mathematical and psychological studies of staff scheduling for holidays as applicable to anesthesiologists and nurse anesthetists

Most hospital patients at risk for bacterial infection undergo an anesthetic: implications for infection control practices related to the anesthesia workspace

Overall anesthesia department quality of clinical supervision of trainees over a year evaluated using mixed effects models

Patients undergoing elective inpatient major therapeutic procedures in Florida had no significant change in hospital mortality or mortality-related comorbidities between 2007 and 2019

Variability in Large Language Models' Responses to Medical Licensing and Certification Examinations. Comment on "How Does ChatGPT Perform on the United States Medical Licensing Examination? The Implications of Large Language Models for Medical Education and Knowledge Assessment"

Collaborators (7)

Brent Hadder

Unyime S. Ituk

Rachel Hadler

Cynthia Wong

Sarah Titler

Brenda Fahy

Richard Epstein

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