Evidence map›Paper›PMID 38894964›Full record

ArticleJournal of multidisciplinary healthcare2024

Optimizing Geriatric Venipuncture: A DRG-Compatible Team-Based Reengineering Strategy.

Tong Zhang, Tao Wang, Jingli Kou, Zhongying Zhang, Yanqiu Wang

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Tong ZhangDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, People's Republic of China.
Tao WangDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People's Republic of China.ORCID 0009-0004-9927-6265
Jingli KouDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, People's Republic of China.
Zhongying ZhangDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, People's Republic of China.
Yanqiu WangDepartment of Geriatrics, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, 100053, People's Republic of China.ORCID 0000-0002-1984-8031

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study evaluates a reengineered intervention aimed at improving the clinical management of intravenous indwelling needles in geriatric patients, focusing on cost-efficiency within the Diagnosis-Related Group (DRG) payment framework. Methods: The intervention was assessed through a comparative study involving 387 elderly patients in the Geriatric Department of Xuanwu Hospital, between June 2021 and March 2022. The study contrasted outcomes between patients treated before and after implementing a new team-based management protocol in November 2021. Results: Findings indicate enhanced first-attempt venipuncture success, reduced consumable costs, and decreased complication rates in the post-intervention group (P < 0.001), compared to controls. Conclusion: The intervention demonstrates significant benefits in venipuncture efficiency, cost reduction, and patient safety, suggesting its potential for broader adoption in geriatric care.

Indexed as

clinical managementconsumables controlDRG Paymentgeriatric wardsintravenous indwelling needlesprocess reengineering

Identifiers

PMID38894964
PMCPMC11182874

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.