Evidence map›Paper›PMID 39529097›Full record

SynthesisBMC medical informatics and decision making2024

Systematic review and meta-analysis of workload among medical records coders in China.

Yu Liu, Chao Wu, Meiling Cao, Chunyan Lei, Zhiqiang Zhou, Wenjing Ou

Erratum issuedAbstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC medical informatics and decision making, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Yu Liu *Department of Medical Administration, Baotou Central Hospital, Baotou, Inner Mongolia, 014040, China.
Chao Wu *Department of Radiology, Baotou Central Hospital, Baotou, Inner Mongolia, 014040, China.
Meiling CaoDepartment of Medical Information, Baotou Central Hospital, Baotou, Inner Mongolia, 014040, China.
Chunyan LeiDepartment of Medical Administration, Baotou Central Hospital, Baotou, Inner Mongolia, 014040, China.
Zhiqiang ZhouDepartment of Medical Administration, Baotou Central Hospital, Baotou, Inner Mongolia, 014040, China.
Wenjing OuDepartment of Medical Administration, Baotou Central Hospital, Baotou, Inner Mongolia, 014040, China. ou185247745@163.com.

Funding

Science and Technology Program of the Joint Fund of Scientific Research for the Public Hospitals of Inner Mongolia Academy of Medical Sciences 2023GLLH0230 and 2023GLLH0225
6 · The paper itself

Abstract

importanceThe homepage of medical records holds significant importance for national performance assessments, DIP settlement lists, and DRG payments. Coders, as auditors of the codes, wield a crucial influence on the quality of the medical records' homepage.

objectiveTo analyze the general situation of the allocation of medical record full-time coders in China. DATA SOURCE: CNKI, Wanfang, VIP, PubMed and other databases were searched from database inception to November 31, 2023. MAIN OUTCOMES AND MEASURES: The primary outcome was the allocation of medical records to full-time coders, with the workload of the coders being the primary focus. Secondary outcomes encompassed the professional background of the coders, including their academic qualifications, professional titles, possession of medical coding certificates, and years of experience in coding.

resultsEleven studies, comprising data from 1783 hospitals and 4448 coders, were analyzed. Among the coders, 61% had a medical-related professional background, 62% held a bachelor's degree or higher, 54% possessed an intermediate title or higher, 61% had coding certificates, and 51% had less than 5 years of work experience. The summary findings regarding the number of coders and coded medical records in secondary and tertiary hospitals indicated an average discharge rate of 22,704.0 per hospital in China. The number of coded cases averaged around 11,300. Specifically, coders in tertiary hospitals coded approximately 12,049 medical records on average, while those in secondary hospitals coded around 7,399 medical records. CONCLUSION AND RELEVANCE: Our study highlights the shortage of medical record coding personnel in the majority of hospitals, coupled with a significant coding workload, low educational qualifications among staff, short working hours, and an imbalanced title structure. Given these findings, hospitals and relevant management authorities should prioritize the recruitment of highly educated professionals, streamline the assessment process for professional titles, alleviate the coding workload, and enhance coding quality.

Indexed as

WorkloadChinaClinical CodingHumansMedical Record AdministratorsCoding personnelCross-sectional studyMedical recordMeta-analysisThe workload of the coders

Identifiers

PMID39529097
PMCPMC11555796

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LicenceCC BY-NC-ND
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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.