Lauren M Hamel1, Robert Chapman2, Susan Eggly2, Louis A Penner2, Rifky Tkatch2, Jennifer Vichich2, Terrance L Albrecht2. 1. Wayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI hamell@karmanos.org. 2. Wayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI.
Abstract
PURPOSE: The use of time in outpatient cancer clinics is a marker of quality and efficiency. Inefficiencies such as excessive patient wait times can have deleterious effects on clinic flow, functioning, and patient satisfaction. We propose a novel method of objectively measuring patient time in cancer clinic examination rooms and evaluating its impact on overall system efficiency. METHODS: We video-recorded patient visits (N = 55) taken from a larger study to determine patient occupancy and flow in and out of examination rooms in a busy urban clinic in a National Cancer Institute-designated comprehensive cancer center. Coders observed video recordings and assessed patient occupancy time, patient wait time, and physician-patient interaction time. Patient occupancy time was compared with scheduled occupancy time to determine discrepancy in occupancy time. Descriptive and correlational analyses were conducted. RESULTS: Mean patient occupancy time was 94.8 minutes (SD = 36.6), mean wait time was 34.9 minutes (SD = 28.8), and mean patient-physician interaction time was 29.0 minutes (SD = 13.5). Mean discrepancy in occupancy time was 40.3 minutes (range, 0.75 to 146.5 minutes). We found no correlation between scheduled occupancy time and patient occupancy time, patient-physician interaction time, and patient wait time, or between discrepancy in occupancy time and patient-physician interaction time. CONCLUSION: The method is useful for assessing clinic efficiency and patient flow. There was no relationship between scheduled and actual time patients spend in exam rooms. Such data can be used in the design of interventions that reduce patient wait times, increase efficient use of resources, and improve scheduling patterns.
PURPOSE: The use of time in outpatientcancer clinics is a marker of quality and efficiency. Inefficiencies such as excessive patient wait times can have deleterious effects on clinic flow, functioning, and patient satisfaction. We propose a novel method of objectively measuring patient time in cancer clinic examination rooms and evaluating its impact on overall system efficiency. METHODS: We video-recorded patient visits (N = 55) taken from a larger study to determine patient occupancy and flow in and out of examination rooms in a busy urban clinic in a National Cancer Institute-designated comprehensive cancer center. Coders observed video recordings and assessed patient occupancy time, patient wait time, and physician-patient interaction time. Patient occupancy time was compared with scheduled occupancy time to determine discrepancy in occupancy time. Descriptive and correlational analyses were conducted. RESULTS: Mean patient occupancy time was 94.8 minutes (SD = 36.6), mean wait time was 34.9 minutes (SD = 28.8), and mean patient-physician interaction time was 29.0 minutes (SD = 13.5). Mean discrepancy in occupancy time was 40.3 minutes (range, 0.75 to 146.5 minutes). We found no correlation between scheduled occupancy time and patient occupancy time, patient-physician interaction time, and patient wait time, or between discrepancy in occupancy time and patient-physician interaction time. CONCLUSION: The method is useful for assessing clinic efficiency and patient flow. There was no relationship between scheduled and actual time patients spend in exam rooms. Such data can be used in the design of interventions that reduce patient wait times, increase efficient use of resources, and improve scheduling patterns.
Authors: Donna M McNamara; Stuart L Goldberg; Lisa Latts; Deena M Atieh Graham; Stanley E Waintraub; Andrew D Norden; Cody Landstrom; Andrew L Pecora; John Hervey; Eric V Schultz; Ching-Kun Wang; Nicholas Jungbluth; Phillip M Francis; Jane L Snowdon Journal: Cancer Med Date: 2019-09-11 Impact factor: 4.452
Authors: Kyu-Pyo Kim; Yu Rang Park; Jung Bok Lee; Hae Reong Kim; Yongman Lyu; Jeong-Eun Kim; Yong Sang Hong; Jae-Lyun Lee; Tae Won Kim Journal: Medicine (Baltimore) Date: 2020-09-25 Impact factor: 1.817