Evidence map›Paper›PMID 25248723›Full record

Observational studyJournal of oncology practice2014

Measuring the use of examination room time in oncology clinics: a novel approach to assessing clinic efficiency and patient flow.

Lauren M Hamel, Robert Chapman, Susan Eggly, Louis A Penner, Rifky Tkatch, Jennifer Vichich, Terrance L Albrecht

Abstract readObservational Study
In one paragraph

Observational study in Journal of oncology practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Chemotherapy Wait Times in a Network of Pediatric Oncology Clinics.Journal of pediatric hematology/oncology · 2020
    Article
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lauren M HamelWayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI hamell@karmanos.org.
Robert ChapmanWayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI.
Susan EgglyWayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI.
Louis A PennerWayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI.
Rifky TkatchWayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI.
Jennifer VichichWayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI.
Terrance L AlbrechtWayne State University-Barbara Ann Karmanos Cancer Institute; and Josephine Ford Cancer Institute-Henry Ford Health System, Detroit, MI.

Funding

Southeast Michigan Community Network ProgramU54CA153606 · NCI · WAYNE STATE UNIVERSITY · PI ALBRECHT, TERRANCE L · 2010 to 2015
$4.2M
NCI NIH HHS U54 CA153606
6 · The paper itself

Abstract

purposeThe 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.

methodsWe 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.

resultsMean 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.

conclusionThe 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.

Indexed as

AdultAgedAged, 80 and overAmbulatory CareAmbulatory Care FacilitiesAppointments and SchedulesBed OccupancyBreast NeoplasmsCancer Care FacilitiesEfficiency, OrganizationalFemaleHumansMiddle AgedPatients' RoomsSocioeconomic FactorsWaiting Lists

Identifiers

PMID25248723
PMCPMC4223711

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.