Evidence map›Paper›PMID 29728145›Full record

ArticleBMC health services research2018

Transition to international classification of disease version 10, clinical modification: the impact on internal medicine and internal medicine subspecialties.

Rachel N Caskey, Angelos Abutahoun, Anne Polick, Michelle Barnes, Pavan Srivastava, Andrew D Boyd

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Rachel N CaskeyDepartment of Internal Medicine, University of Illinois at Chicago, 840 S. Wood St, Clinical Sciences North 440, MC 718, Chicago IL, Chicago, Illinois, 60612, USA. rcaskey@uic.edu.
Angelos AbutahounDepartment of Biomedical and Health Information Sciences, University of Illinois at Chicago, 1919 W Taylor St (M/C 530), Chicago, IL, Chicago, Illinois, 60612, USA.
Anne PolickDepartment of Internal Medicine, University of Illinois at Chicago, 840 S. Wood St, Clinical Sciences North 440, MC 718, Chicago IL, Chicago, Illinois, 60612, USA.
Michelle BarnesDepartment of Internal Medicine, University of Illinois at Chicago, 840 S. Wood St, Clinical Sciences North 440, MC 718, Chicago IL, Chicago, Illinois, 60612, USA.
Pavan SrivastavaDepartment of Internal Medicine, University of Illinois at Chicago, 840 S. Wood St, Clinical Sciences North 440, MC 718, Chicago IL, Chicago, Illinois, 60612, USA.
Andrew D BoydDepartment of Biomedical and Health Information Sciences, University of Illinois at Chicago, 1919 W Taylor St (M/C 530), Chicago, IL, Chicago, Illinois, 60612, USA. boyda@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe US health care system uses diagnostic codes for billing and reimbursement as well as quality assessment and measuring clinical outcomes. The US transitioned to the International Classification of Diseases, 10th Revision, Clinical Modification (ICD-10-CM) on October, 2015. Little is known about the impact of ICD-10-CM on internal medicine and medicine subspecialists.

methodsWe used a state-wide data set from Illinois Medicaid specified for Internal Medicine providers and subspecialists. A total of 3191 ICD-9-CM codes were used for 51,078 patient encounters, for a total cost of US $26,022,022 for all internal medicine. We categorized all of the ICD-9-CM codes based on the complexity of mapping to ICD-10-CM as codes with complex mapping could result in billing or administrative errors during the transition. Codes found to have complex mapping and frequently used codes (n = 295) were analyzed for clinical accuracy of mapping to ICD-10-CM. Each subspecialty was analyzed for complexity of codes used and proportion of reimbursement associated with complex codes.

resultsTwenty-five percent of internal medicine codes have convoluted mapping to ICD-10-CM, which represent 22% of Illinois Medicaid patients, and 30% of reimbursements. Rheumatology and Endocrinology had the greatest proportion of visits and reimbursement associated with complex codes. We found 14.5% of ICD-9-CM codes used by internists, when mapped to ICD-10-CM, resulted in potential clinical inaccuracies.

conclusionsWe identified that 43% of diagnostic codes evaluated and used by internists and that account for 14% of internal medicine reimbursements are associated with codes which could result in administrative errors.

Indexed as

International Classification of DiseasesCosts and Cost AnalysisFemaleHumansIllinoisInternal MedicineMedicaidMedicineUnited StatesCohort identificationDiagnosis codingICD-10-CM

Identifiers

PMID29728145
PMCPMC5935982

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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.