Evidence map›Paper›PMID 36147116›Full record

ArticleAnnals of medicine and surgery (2012)2022

Patient waiting time analysis for elective gynecologic surgeries in a tertiary training hospital in the Philippines: A retrospective cross-sectional study.

Glaiza S de Guzman, Maria Lilibeth L Sia Su

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Glaiza S de GuzmanDepartment of Obstetrics and Gynecology, University of the Philippines Manila - Philippine General Hospital, Philippines.
Maria Lilibeth L Sia SuDepartment of Obstetrics and Gynecology, University of the Philippines Manila - Philippine General Hospital, Philippines.
Philippine General Hospital · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to determine the median waiting time and assess the factors affecting patient waiting time and scheduling for elective gynecologic surgery in a tertiary training hospital in the Philippines. Methods: A retrospective analysis of waiting times for elective gynecologic surgeries was performed. The different time intervals for each step of the process map were determined. Regression models were used to study the relationship between waiting time intervals and demographic data, consideration of malignancy, and surgeries performed. Results: The median waiting time from the date of the first consult to surgery was 154 days. Patients with consideration of malignancy and pelvic organ prolapse had significantly longer intervals from the Waitlist Clinic to actual surgery with regression coefficients of 6.76 and 17.53 days, respectively. Other intervals in the process map did not show significant differences. Conclusions: The median waiting time for elective gynecologic surgeries in a tertiary training institution in the Philippines was longer than global standards. A significant amount of time was spent waiting for diagnostic studies and referral to the Waitlist Clinic. The study recommends regulating and improving systems processes at the hospital and national levels to decrease patient waiting time. Surgical waitlists, referral systems, and benchmarks for safe waiting times should be established.

Indexed as

Elective surgeryWaiting time

Identifiers

PMID36147116
PMCPMC9486574
OpenAlexW4293652198

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.