Evidence map›Paper›PMID 33272260›Full record

ArticleBMC health services research2020

Rural context, single institution prospective outcomes after enhanced recovery colorectal surgery protocol implementation.

Levi Smucker, Jennifer Victory, Melissa Scribani, Luis Oceguera, Raul Monzon

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Colon and Rectal Cancer Management in Low-Resource Settings.Clinics in colon and rectal surgery · 2022
    Review
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

5 authors.

Levi SmuckerBassett Medical Center, Cooperstown, NY, USA. leviyodersmucker@gmail.com.ORCID http://orcid.org/0000-0002-4835-4284
Jennifer VictoryBassett Medical Center, Cooperstown, NY, USA.
Melissa ScribaniBassett Medical Center, Cooperstown, NY, USA.
Luis OcegueraBassett Medical Center, Cooperstown, NY, USA.
Raul MonzonBassett Medical Center, Cooperstown, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRural hospitals face unique challenges to adopting Enhanced Recovery protocols after colorectal surgical procedures. There are few examples of successful implementation in the United States, and fewer yet of prospective, outcomes-based trials.

methodsThis study drew data from elective bowel resection prospectively collected, retrospectively analyzed cases 2 years prior (n = 214) and 3 years after (n = 224) implementing an ERAS protocol at a small, rural health network in upstate New York. Primary outcomes were cost, length-of-stay, readmission rate, and complications.

resultsThe implementation required changes and buy-in at multiple levels of the institution. There was a statistically significant reduction in mean length of stay (6.9 versus 5.1 days) and per-patient savings to hospital ($3000) after implementation of ERAS protocol. There was no significant change in rate of 30-day readmissions or complications.

conclusionsThe authors conclude that for rural-specific barriers to implementation of Enhanced Recovery protocols there are specific organizational strategies that can ultimately yield sustainable endpoints.

Indexed as

Colorectal SurgeryClinical ProtocolsHumansLength of StayNew YorkPostoperative ComplicationsProspective StudiesRetrospective StudiesColorectal surgeryEnhanced recoveryERASOrganizational changeRural

Identifiers

PMID33272260
PMCPMC7712524

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.