Evidence map›Paper›PMID 29799102›Full record

ArticleJournal of genetic counseling2018

Impact of Appointment Waiting Time on Attendance Rates at a Clinical Cancer Genetics Service.

Tarryn Shaw, Julie Metras, Zoe Ang Li Ting, Eliza Courtney, Shao-Tzu Li, Joanne Ngeow

Abstract read
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In one paragraph

Article in Journal of genetic counseling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
  6. Article
  7. Article
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  9. Article
  10. Evaluating the Impact of Patient No-Shows on Service Quality.Risk management and healthcare policy · 2020
    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

6 authors.

Tarryn ShawCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, 11 Third Hospital Drive, Singapore, 169610, Singapore.
Julie MetrasCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, 11 Third Hospital Drive, Singapore, 169610, Singapore.
Zoe Ang Li TingCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, 11 Third Hospital Drive, Singapore, 169610, Singapore.
Eliza CourtneyCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, 11 Third Hospital Drive, Singapore, 169610, Singapore.
Shao-Tzu LiCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, 11 Third Hospital Drive, Singapore, 169610, Singapore.
Joanne NgeowCancer Genetics Service, Division of Medical Oncology, National Cancer Centre Singapore, 11 Third Hospital Drive, Singapore, 169610, Singapore. joanne.ngeow.y.y@singhealth.com.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in demand for clinical cancer genetics services has impacted the ability to provide services timeously. Given limited resources, this often results in extended appointment waiting times. Over the last 3 years, the Cancer Genetics Service at the National Cancer Centre Singapore has continued to experience a steady increase in demand for its service. Nevertheless, significant no-show rates have been reported. This study sought to determine whether an association exists between appointment waiting times and attendance rates. Data was gathered for all participants meeting inclusion criteria. Attendance rates and appointment waiting times were calculated. The relationship between mean waiting times for those who did and did not attend their scheduled appointments was evaluated using Welch's t test and linear regression model. The results showed a significant difference in mean appointment waiting times between patients who did and did not attend (32.66 versus 43.50 days respectively; p < 0.0001). Furthermore, patients who waited for longer than 37 days were significantly less likely to attend. No-show rates increased as the waiting time increased, at a rate of 19.60% per 20 days and 21.40% per 30 days. In conclusion, appointment waiting time is a significant predictor for patient attendance. Strategies to ensure patients receive an appointment within the necessary timeframe at the desired setting are important to ensure that individuals at increased cancer risk attend their appointments in order to manage their cancer risks effectively.

Indexed as

Appointments and SchedulesAdultAgedFemaleGenetic TestingHumansMaleMiddle AgedNeoplasmsNo-Show PatientsTime FactorsAppointment waiting timeAttendance ratesCancer genetics

Identifiers

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.