Evidence map›Paper›PMID 36462228›Full record

ArticleGeriatric nursing (New York, N.Y.)

Impact of using a centralized matching process on nursing home staffing.

Hamid Reza Zarei, Yakov Bart, Ozlem Ergun

Open access · greenAbstract read
In one paragraph

Article in Geriatric nursing (New York, N.Y.). 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
1.7field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Hamid Reza ZareiPhD Candidate, Department of Mechanical & Industrial Engineering, Northeastern University, Boston, MA, USA. Electronic address: zarei.h@northeastern.edu.
Yakov BartAssociate Professor of Marketing, D'Amore-McKim School of Business, Northeastern University, Boston, MA, USA. Electronic address: y.bart@northeastern.edu.
Ozlem ErgunCOE Distinguished Professor, Department of Mechanical & Industrial Engineering, Northeastern University, Boston, MA, USA. Electronic address: o.ergun@northeastern.edu.
Northeastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the effectiveness of adopting a novel centralized matching process for reducing staff shortages in Massachusetts nursing homes during the COVID-19 pandemic.

methodsThis study involved several datasets and 216 Massachusetts nursing homes that used a novel online portal to enter demand for nursing staff from May 2020 to April 2021.

resultsThere were significant associations between the staff-to-resident ratio and demand entries lagged by three and four weeks, and no significant associations between the staff-to-resident ratio and demand entries lagged by one and two weeks. In contrast, we found significant associations between the staff-to-resident ratio and the number of generated staff matches lagged by one, two and three weeks, with larger impacts overall.

conclusionThis study shows how adopting a centralized matching process may expedite and increase improvement in the staff-to-resident ratio in nursing homes, compared with the setup in which nursing homes need to seek nurses on their own.

Indexed as

COVID-19HumansNursing HomesPandemicsSkilled Nursing FacilitiesWorkforceCentralized matching processCOVID-19Nursing homesResource allocationStaff shortagesStaff-to-resident ratio

Identifiers

PMID36462228
PMCPMC9709370
OpenAlexW4310472441

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.