Evidence map›Paper›PMID 29370785›Full record

ArticleBMC health services research2018

Potential loss of revenue due to errors in clinical coding during the implementation of the Malaysia diagnosis related group (MY-DRG

S A Zafirah, Amrizal Muhammad Nur, Sharifa Ezat Wan Puteh, Syed Mohamed Aljunid

Abstract read
In one paragraph

Article in BMC health services research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

S A ZafirahFaculty of Medicine, National University of Malaysia, International Centre for Casemix and Clinical Coding, UKM Medical Centre, Bandar Tun Razak, 56000, Kuala Lumpur, Cheras, Malaysia. athirahzafirah@gmail.com.
Amrizal Muhammad NurFaculty of Medicine, National University of Malaysia, International Centre for Casemix and Clinical Coding, UKM Medical Centre, Bandar Tun Razak, 56000, Kuala Lumpur, Cheras, Malaysia.
Sharifa Ezat Wan PutehFaculty of Medicine, National University of Malaysia, International Centre for Casemix and Clinical Coding, UKM Medical Centre, Bandar Tun Razak, 56000, Kuala Lumpur, Cheras, Malaysia.
Syed Mohamed AljunidFaculty of Medicine, National University of Malaysia, International Centre for Casemix and Clinical Coding, UKM Medical Centre, Bandar Tun Razak, 56000, Kuala Lumpur, Cheras, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe accuracy of clinical coding is crucial in the assignment of Diagnosis Related Groups (DRGs) codes, especially if the hospital is using Casemix System as a tool for resource allocations and efficiency monitoring. The aim of this study was to estimate the potential loss of income due to an error in clinical coding during the implementation of the Malaysia Diagnosis Related Group (MY-DRG

methodsFour hundred and sixty-four (464) coded medical records were selected, re-examined and re-coded by an independent senior coder (ISC). This ISC re-examined and re-coded the error code that was originally entered by the hospital coders. The pre- and post-coding results were compared, and if there was any disagreement, the codes by the ISC were considered the accurate codes. The cases were then re-grouped using a MY-DRG

resultsCoding errors were found in 89.4% (415/424) of the selected patient medical records. Coding errors in secondary diagnoses were the highest, at 81.3% (377/464), followed by secondary procedures at 58.2% (270/464), principal procedures of 50.9% (236/464) and primary diagnoses at 49.8% (231/464), respectively. The coding errors resulted in the assignment of different MY-DRG

conclusionsThe quality of coding is a crucial aspect in implementing casemix systems. Intensive re-training and the close monitoring of coder performance in the hospital should be performed to prevent the potential loss of hospital income.

Indexed as

Clinical CodingDiagnosis-Related GroupsEfficiency, OrganizationalHospital CostsHospitals, TeachingHumansMalaysiaMedical RecordsPharmaceutical ServicesCasemix systemClinical codingCoding errorDiagnosis codingDRGMy-DRG®Procedure coding

Identifiers

PMID29370785
PMCPMC5784726

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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.