Evidence map›Paper›PMID 42724072›Full record

ArticleNarra J2026

Impact of a lean management intervention on waiting time and service efficiency in gynecologic oncology surgical services in a national referral hospital in Indonesia: An interrupted time-series study with lean waste analysis.

Sri Dr Syarief, Sagiran Sagiran, Elsye M Rosa

Abstract read
In one paragraph

Article in Narra J, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Sri Dr SyariefGraduate Program in Hospital Management, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
Sagiran SagiranGraduate Program in Hospital Management, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.
Elsye M RosaGraduate Program in Hospital Management, Universitas Muhammadiyah Yogyakarta, Yogyakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long surgical waiting times in gynecologic oncology reflect operational inefficiencies and limited operating room capacity, compromising timely care and patient outcomes. This study specifically focuses on gynecologic oncology surgical services at Dr. Hasan Sadikin Hospital, Bandung, a major national referral hospital in Indonesia. It evaluated the impact of lean-based dedicated operating slots on surgical waiting times and service efficiency. A mixed-methods explanatory sequential design was applied. Quantitative data comprised 24 monthly time points (12 pre-intervention and 12 post-intervention) and were analyzed using interrupted time series analysis, while qualitative data were obtained through in-depth interviews with seven key informants to explain operational changes after the intervention. The intervention introduced one specialized operating room and nine weekly elective surgery slots dedicated to gynecologic oncology. The results demonstrated a significant reduction in mean waiting time, from 8.16 weeks pre-intervention to 3.64 weeks post-intervention. Interrupted Time Series Analysis (ITSA) showed a significant immediate level reduction following implementation, with an estimated change of -2.87 weeks, indicating an immediate reduction in surgical backlog. Trend analysis further demonstrated a significant post-intervention slope change (0.48), reflecting a modification in waiting time trajectory after implementation. Although a slight upward trend was observed afterward due to surgical throughput, waiting times remained substantially lower than in the pre-intervention period. Lean waste analysis revealed reductions in waiting, overprocessing, and inter-unit coordination inefficiencies. These findings indicate that lean-oriented dedicated operating slots improve operational efficiency, enhance patient access, and minimize systemic waste in high-volume oncology surgical services. The study provides empirical evidence supporting structured scheduling and lean principles as effective strategies for improving time-sensitive surgical care in tertiary hospitals.

Indexed as

Efficiency, OrganizationalGenital Neoplasms, FemaleGynecologic Surgical ProceduresOperating RoomsWaiting ListsFemaleHumansIndonesiaInterrupted Time Series AnalysisTime FactorsDedicated operating slotsgynecologic oncologyITSA analysislean managementwaiting time

Identifiers

PMID42724072
PMCPMC13558888

What Socratic 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 Socratic graph.