The three-part model for coding causes and mechanisms of healthcare-related adverse events

Southern, Danielle; Harrison, James Edward; Romano, Patrick S.; Pogam, Marie-Annick Le; Pincus, Harold Alan; Ghali, William A.

doi:10.1186/s12911-022-01786-w

Cited by 8 publications

(8 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Disease conditions were evaluated based on the International Classification of Diseases, 11th vs. ICD-11 ( 20 ). Accordingly, the primary diagnosis codes of mental illness were as follows: F0, organic mental disorders including symptomatic disorders and dementia; F1, mental and behavioral disorders due to the use of psychoactive substances; F2, schizophrenia, schizotypal, and delusional disorders; F3, mood [affective] disorders; F4, neurotic, stress-related, and somatoform disorders; F5, behavioral syndromes associated with physiological disturbances and physical factors; F6, disorders of adult personality and behavior; F7, mental retardation; and F8–9, others.…”

Section: Methodsmentioning

confidence: 99%

The impact of China's urban and rural economic revitalization on the utilization of mental health inpatient services

Yan

2023

Front. Public Health

View full text Add to dashboard Cite

BackgroundRural locations have a lower preference for mental healthcare than urban areas. Medical and pharmacy expenses incurred as a result of serious mental illness are covered by public health insurance, according to the People's Republic of China's Mental Health Law. This study aimed to acknowledge the disparities in the use of mental health services provided by the government health schemes among the rural and urban populations of China and to assess the real reimbursement rates for health insurance coverage. It also sheds light on China's ongoing healthcare reforms for mental health treatments.Materials and methodsA retrospective cohort study of patients was conducted that were hospitalized with mental illnesses to assess rural–urban disparities in the utilization of mental health services and the role of health insurance. We used electronic health data from the major psychiatric institutes for 15 years (2005–2020) to assess the influence of health insurance systems on Chinese public preferences for mental health treatments. These psychiatric hospitals serve almost 10% of all mental health patients every year in Shandong and accept patients from all over the country. In addition, health insurance policy regulations in Shandong Province are consistent with national health insurance policy regulations. Models 1 and 2 assess disparities in the utilization of mental health treatments. Our study population was identified using patients' primary diagnosis, as recorded in the two hospitals' EHRs, which routinely record information on patients' sociodemographic characteristics, clinical characteristics of the disease, cost of the treatment, and type of the health insurance plan. The record of EHR data is considered efficient because they document all inpatient expenses incurred during hospitalization in a detailed, itemized, and reliable way.ResultsUrban patients had longer hospital stays (p = 0.0001), more hospitalizations (p = 0.006), and greater hospitalization expenses (p = 0.001) than rural patients. Patients who had insurance had a longer hospital stay (p = 0.0001), more hospitalizations (p = 0.0001), and greater hospitalization costs (p = 0.0001) than those who did not have insurance. Urban residents used mental health services more than rural residents. People preferred mental healthcare when the reimbursement ratio variable was larger, especially in rural areas.ConclusionRural people of China experience mental health services are an economic burden. Uniform measures are required to be taken for the development of health insurance policies for people in rural areas.

show abstract

Section: Methodsmentioning

confidence: 99%

The impact of China's urban and rural economic revitalization on the utilization of mental health inpatient services

Yan

2023

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…ICD-11 is no exception. There are indeed conceptual models underlying various elements of ICD-11 (e.g., 1. a 3-part framework for describing healthcare-related harms—described in an article in this series [ 1 ]; 2. a framework for categorizing different extension code types—also described in a companion article [ 2 ]; and 3. conceptual grouping of disease concepts in each of the disease content chapters of the classification). A companion article on ICD-11 architecture and structure provides more detail on conceptual elements of the classification [ 3 ].…”

Section: Main Textmentioning

confidence: 99%

“…More examples of postcoordination in the morbidity use case are shown in Table 1 . Examples of postcoordination in the quality and safety use case are shown in another article in this series [ 1 ].…”

Section: Main Textmentioning

confidence: 99%

“…In some instances, the user may have to re-order codes created by the postcoordination tool to align with certain coding instructions on order of codes. For example, when coding a diagnosis of sepsis secondary to urinary tract infection, the coding rule in the ICD-11 Reference Guide [ 1 ] is that the type of infection must be ordered before the code for sepsis as indicated in the coding note at the sepsis code. Consideration of a future enhancement to the functionality of the postcoordination tool to allow the user the opportunity to re-order codes in a cluster to support coding instructions, when necessary, is recommended.…”

Section: Main Textmentioning

confidence: 99%

See 1 more Smart Citation

Postcoordination of codes in ICD-11

Mabon

Steinum²,

Chute

2021

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

A new coding feature introduced with ICD-11, the 11th revision of the International Classification of Diseases (ICD), is postcoordination, which supports combining (linking) two or more codes into a cluster that describes a clinical concept. Postcoordination allows for coded data to be reported to a greater level of specificity than was possible in previous version of ICD. The linked codes are kept together in a cluster when submitted for reporting. This article presents background detail on the postcoordination feature in ICD and the postcoordination tool. Also presented are several examples that demonstrate the flexibility that ICD-11 provides for enriching coded health information.

show abstract

“…ICD-11 enables adding detail to coded entities using several mechanisms. Healthcare-related harms coding in ICD-11 involves cluster coding of injury, cause, and mode, known as the 3-part model [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018

et al. 2022

Self Cite

View full text Add to dashboard Cite

Objective A beta version (2018) of International Classification of Diseases, 11th Revision for MMS (ICD-11), needed testing. Field-testing involves real-world application of the new codes to examine usability. We describe creating a dataset and characterizing the usability of ICD-11 code set by coders. We compare ICD-11 against ICD-10-CA (Canadian modification) and a reference standard dataset of diagnoses. Real-world usability encompasses code selection and time to code a complete inpatient chart using ICD-11 compared with ICD-10-CA. Methods and results A random sample of inpatient records previously coded using ICD-10-CA was selected from hospitals in Calgary, Alberta (N = 2896). Nurses examined these charts for conditions and healthcare-related harms. Clinical coders re-coded the same charts using ICD-11 codes. Inter-rater reliability (IRR) and coding time improved with ICD-11 coding experience (23.6 to 9.9 min average per chart). Code structure comparisons and challenges encountered are described. Overall, 86.3% of main condition codes matched. Coder comments regarding duplicate codes, missing codes, code finding issues enabled improvements to the ICD-11 Browser, Coding Tool, and Reference Guide. Training is essential for solid IRR with 17,000 diagnostic categories in the new ICD-11. As countries transition to ICD-11, our coding experiences and methods can inform users for implementation or field testing.

show abstract

The three-part model for coding causes and mechanisms of healthcare-related adverse events

Cited by 8 publications

References 5 publications

The impact of China's urban and rural economic revitalization on the utilization of mental health inpatient services

The impact of China's urban and rural economic revitalization on the utilization of mental health inpatient services

Postcoordination of codes in ICD-11

Field testing a new ICD coding system: methods and early experiences with ICD-11 Beta Version 2018

Contact Info

Product

Resources

About