Evidence map›Paper›PMID 39693087›Full record

ArticleJAMA surgery2025

Leveraging Lean Methodology to Improve Compliance With Work-Hour Restrictions.

J Jeffery Reeves, Nicole Goldhaber, Hannah Hollandsworth, Kristin Cox, Ana Maria Dumitru, Beiqun Zhao, Christopher A Longhurst, Jennifer Berumen, Allison E Berndtson, Garth Jacobsen and 1 more

Abstract readComment
In one paragraph

Article in JAMA surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

J Jeffery ReevesDepartment of Surgery, University of California, San Diego Health, La Jolla.
Nicole GoldhaberDepartment of Surgery, University of California, San Diego Health, La Jolla.
Hannah HollandsworthDepartment of Surgery, University of California, San Diego Health, La Jolla.
Kristin CoxDepartment of Surgery, University of California, San Diego Health, La Jolla.
Ana Maria DumitruDepartment of Surgery, University of California, San Diego Health, La Jolla.
Beiqun ZhaoDepartment of Surgery, Section of Colorectal Surgery and Division of Surgical Oncology, University of San Francisco, San Francisco, California.
Christopher A LonghurstDepartment of Pediatrics and Department of Medicine, Division of Biomedical Informatics, University of California San Diego Health, La Jolla.
Jennifer BerumenDepartment of Surgery, University of California, San Diego Health, La Jolla.
Allison E BerndtsonDepartment of Surgery, University of California, San Diego Health, La Jolla.
Garth JacobsenDepartment of Surgery, University of California, San Diego Health, La Jolla.
Bryan ClaryDepartment of Surgery, University of California, San Diego Health, La Jolla.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Since work-hour restrictions were instituted in 2003, sustainably complying with duty-hour regulations remains a challenge for general surgery residency programs across the nation. Objective: To determine whether industry-based process improvement techniques could be leveraged to increase compliance with work-hour restrictions within a general surgery residency. Design, Setting, and Participants: This quality improvement project using Lean methodology was conducted from October to November of the 2021 to 2022 academic year. The setting was a university-based general surgery residency program in southern California with rotations across 5 regional hospitals. The program trains 7 categorical general surgery residents per postgraduate year (PGY) and offers an optional 1 to 3 years for research and career development. Interventions: Programmatic structures were examined, current and target states were analyzed, opportunities for improvement were identified, root-cause analyses were conducted, and targeted interventions were developed. Main Outcomes and Measures: Resident time logs and annual Accreditation Council for Graduate Medical Education resident and faculty surveys were reviewed from academic years 2019/2020 to 2022/2023. Attending faculty were surveyed on resident preparedness using a 5-point Likert scale. Differences between means and proportions were calculated with corresponding 95% CIs. Results: The web-based survey responses of 29 residents (residents per PGY, 7 [PGY1], 14 [PGY2/3], 8 [PGY4/5]; 17 female [54.7%]) were included in this study. Root causes included maxed baseline schedules, late in shift work, culture, service variability, clinical volume, and inefficient workflows. Fifteen multifactorial interventions impacting call and weekend scheduling, work practices and efficiencies, intern and service orientations, and faculty and cultural expectations were implemented. The mean number of residents per block who logged more than 80 hours per week decreased by 3.6 violations per block (95% CI, 2.98-4.22), from 4.4 (12.4%) to 0.8 (2.2%) for a difference of 10.2% (95% CI, 8.4%-16.2%). On the annual resident survey, perceived compliance with 80 hours was 72%, 83%, 83%, and 88%, respectively, over the following study periods: 2019 to 2020, 2020 to 2021, 2021 to 2022, and 2022 to 2023. Faculty perception of resident preparedness for the case increased from a mean (SD) of 2.6 (0.8) to 3.0 (0.5), with a difference of 0.47 (95% CI, -0.52 to 0.68). There were no statistically significant differences in technical skill, clinical judgment, sense of responsibility, efficiency, or sense of well-being. Conclusions and Relevance: Results of this quality improvement study suggest that through Lean methodology, surgical residency programs can improve working environments. This novel approach can increase compliance with resident work hours by engaging front line trainees in the process.

Indexed as

General SurgeryInternship and ResidencyPersonnel Staffing and SchedulingQuality ImprovementWorkloadCaliforniaEducation, Medical, GraduateHumans

Identifiers

PMID39693087
PMCPMC11822556

What OpenQuestion holds

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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.