AR-DRG Version 8.0: Implementation of the Episode Clinical Complexity Model Carol Loggie Introduction Throughout the development of Version 8.0 the ACCD worked in close consultation with the DRG Technical Group The release of Australian Refined Diagnosis Related Groups (DTG), the Classifications Clinical Advisory Group (CCAG) (AR-DRG) Version 8.0 sees a major change in the methand the IHPA. Details regarding ACCD’s governance structure odology used to measure case complexity. The new model and consultation processes are available on the ACCD website represents a significant shift away from the Patient Clinical (https://www.accd.net.au/). Complexity Level (PCCL) model using Complications and Comorbidities (C&Cs), and allows for greater scope and The development process precision in splitting Adjacent DRGs (ADRGs) into DRGs. The performance of the PCCL system was initially assessed AR-DRG Version 8.0 will be used by the Independent to determine the degree to which it needed to be modified, Hospital Pricing Authority (IHPA) for the pricing of admitted or possibly redeveloped. An evidence based review was acute care from July 2016. Given the significant changes completed which demonstrated that from AR-DRG Version 7.0 with The new model represents a significant the PCCL model performed poorly the implementation of the Episode in explaining episode cost variations Clinical Complexity (ECC) Model it is shift away from the Patient Clinical within ADRGs. A literature review of important that users of the AR-DRG Complexity Level model ... and allows for international casemix classifications Classification develop an underwas also undertaken which revealed greater scope and precision standing of the new model and the a lack of consensus in the approach implications of the changes. to case complexity and also found that there were no models in use internationally that could Why review the case complexity model? be adapted for use in Australia. Accordingly, the decision was Case complexity, including the list of C&C diagnoses codes, made to redevelop the case complexity model. was implemented as part of the initial Australian casemix It was planned that the development would consist of two classification in the 1990s. The model was based on a DRG phases, comprising the redevelopment of the model, followed system from the United States, in which additional diagnoses by the implementation of the new model into the AR-DRG were considered to be ‘significant’ where they were associated Classification with a review of ADRG splitting. Given the with an increase in length of stay exceeding certain thresholds scope of the project, a set of principles was established to (Averill et al. 2003). There have been refinements made to the guide the development work (detailed in the AR-DRG Version C&C list and the case complexity algorithm over the years, 8.0 Definitions Manual). however there has not been a review at a conceptual level since implementation. A comprehensive assessment of the The Episode Clinical Complexity Model PCCL system was initiated due to: The outcome of phase one was the ECC Model and as it concerns about whether the model was still fit for is markedly different from the approach taken in the PCCL purpose due to a reliance on length of stay rather than model, new terminology was developed in order to avoid cost to determine case complexity confusion. Table 1 provides a comparison of terminology used the improvements in both the patient level data between Version 7.0 and Version 8.0. collections, including costing, and the computing capacity for data analysis that had become available over the past Diagnosis Complexity Level two decades. Of significance, the Complex Diagnoses (CDs) differ from The review of the case complexity model was underC&Cs in that the majority of ICD-10-AM diagnoses codes taken by the Australian Consortium for Classification are in-scope to receive a nonzero case complexity weight, or Development (ACCD) under the lead of the National Centre Diagnosis Complexity Level (DCL). This has resulted in around for Classification in Health (NCCH). This work was part of 12,500 ICD-10-AM codes that are now in-scope, in contrast the ongoing development and maintenance of the AR-DRG to the PCCL model where there was a defined list of codes Classification System, which was contracted to the ACCD by that could potentially be C&Cs. Codes for external cause, the IHPA commencing in July 2013. place of occurrence and activity are excluded from the DCLs. HIM-INTERCHANGE Vol 6 No 1 2016 ISSN 1838-8620 (PRINT) ISSN 1838-8639 (ONLINE) 25 REPORT Table 1: Case complexity terminology comparison between AR-DRG V7.0 and V8.0 AR-DRG V7.0 AR-DRG V8.0 Complication and/or Comorbidity (CC) codes are the diagnoses that may contribute to the calculation of PCCL (i.e. affect the calculation of episode level complexity). Complex Diagnoses (CDs) in a particular ADRG are the set (or list) of diagnoses that may affect the calculation of episode clinical complexity in that ADRG. CDs differ across ADRGs. Complication and Comorbidity Levels (CCLs) are values assigned to diagnosis codes as complexity weights, specific to the ADRG of the episode. Only CC codes receive nonzero CCLs. Diagnosis Complexity Levels (DCLs) are values assigned to diagnosis codes as complexity weights, specific to the ADRG of the episode. The CDs of an ADRG are those diagnoses assigned a nonzero DCL. Patient Clinical Complexity Level (PCCL) is a value assigned to episodes as the measure of the cumulative effect of a patient’s CCs. Episode Clinical Complexity Score (ECCS) is the measure of the cumulative effect of DCLs for a specific episode. Mild, Moderate, Severe and Catastrophic CCs are descriptive terms used in the naming of DRGs where PCCL has been used as a splitting variable. Minor, Intermediate, Major and Extreme Complexity are descriptive terms used in the naming of DRGs where ECCS has been used as a splitting variable. Source: Adapted from the AR-DRG Version 8.0 Definitions Manual. In addition there are: Unconditional exclusions: codes that were considered to be unsuitable for inclusion in the ECC Model, including the majority of codes from Chapter 18 Symptoms, signs and abnormal clinical and laboratory findings, not elsewhere classified (R00-R99) and Chapter 21 Factors influencing health status and contact with health services (Z00-Z99); the unacceptable principal diagnosis (PDx) codes; other special case exclusion codes; sequelae codes; and full-time dagger codes. Conditional exclusions: those codes in specific dagger and asterisk pairs of DCL in-scope codes, where the dagger code is a ‘part-time’ dagger. In these cases the asterisk code prevents the dagger code from receiving a DCL. Unconditional and conditional exclusions are always assigned a DCL of zero. Full details of the excluded codes can be found in the AR-DRG Version 8.0 Definitions Manual, Appendix C. DCLs are integer values that range from 0 to 5, a change from CCLs that range from 0 to 4 for surgical and neonatal episodes, and 0 to 3 for medical episodes. Aggregation of codes for DCL There is a process of aggregation when calculating the DCL for each code to ensure the required sample size threshold is obtained, with a total of seven hierarchical aggregation levels. The finest level of precision for the diagnoses codes is generally to the three character level, that is, codes with four and five characters are aggregated to the three character level. 26 There is one exception to this default, which is the N18.range of codes for chronic kidney disease, which are enhanced to the fourth character level in order to capture the variation in complexity within this code range. Other aggregation levels include block level and chapter level. Episode Clinical Complexity Score The Episode Clinical Complexity Score (ECCS) uses the DCLs in an episode to estimate the overall cost of the episode. The ECCS is calculated by ranking an episode’s DCLs in descending order and then applying a decay component (0.84) to successive diagnoses so that multiple DCLs make diminishing contributions to the ECCS in order to account for the ‘overlapping’ of costs. This means for example, that where an episode has two diagnoses each with a DCL of 1, the combined value will be less than 2. An important change to be noted in the ECC Model is that the principal diagnosis (PDx) code is also considered in the case complexity for each episode, meaning that it is now also in-scope to receive a nonzero DCL. This change was as a result of investigative work that demonstrated that all diagnoses, including the PDx, are important in the calculation of complexity. The inclusion of the PDx ensures that all the clinical concepts in an episode are recognised. ECCS values range between 0 and 32, in comparison with the PCCLs which range from 0 to 4. However, during the development the large majority of episodes were demonstrated to have an ECCS of 5 or less, with only 0.5% having an ECCS above 10. DCL/ECCS calculator Given the large number of in-scope codes in the ECC Model, it was not practicable to provide a table of the codes in the AR-DRG Definitions Manual as was previously done for the C&C codes. Therefore, a DCL/ECCS Calculator has been provided on the ACCD website as a web application. The calculator can be used to assist in finding DCLs and computing the ECCS for an individual episode within a particular ADRG. However, it is important to note that the calculator is not a grouper, and so the process of assigning an episode to an ADRG or indicating the episode’s DRG is not part of its functionality. Implementation of the Model and review of the ADRG splits Following the completion of the ECC Model, phase two of the Version 8.0 development was the review of all ADRG splits using the new model.Various splitting options were considered for each ADRG, with a preference for ADRG splits to be based only on the ECCS in order to minimise the use of non-complexity splitting variables. In consultation with the DTG and CCAG, use of ECCS only was selected as the optimal splitting variable in 315 ADRGs, with a reduction to six ADRGs using other splitting variables, as seen in Table 2. HIM-INTERCHANGE Vol 6 No 1 2016 ISSN 1838-8620 (PRINT) ISSN 1838-8639 (ONLINE) The ECC Model was demonstrated to provide a major improvement in the measurement of case complexity ... and will facilitate more streamlined updating over time Table 2: ADRG splitting comparison between AR-DRG V7.0 and V8.0 Number (%) of ADRGs ADRG splitting V7.0 V8.0 Nil – no split 127 (32%) 82 (20%) ADRG split by PCCL/ECCS only 168 (42%) 315 (78%) ADRG split by PCCL/ECCS with other(s) 74 (18%) 5 (1%) ADRG split by Other(s) only 34 (8%) 1 (0%) 403 403 Total Note: 3 error ADRGs not included. As a result of the splitting review, the total number of DRGs has increased from 771 in Version 7.0 to 807 in Version 8.0, primarily due to the creation of a split based on ECCS where there was no split previously. Also, the types of noncomplexity variables used have decreased from seven variables in Version 7.0 to two variables in Version 8.0, as below in Table 3. Table 3: Non-complexity ADRG splitting criteria used in V8.0 Splitting variable(s) ADRG Age (and ECCS) A07 Allogeneic Bone Marrow Transplant A09 Kidney Transplant Transfer (and ECCS) B70 Stroke and Other Cerebrovascular Disorders B78 Intracranial Injuries F62 Heart Failure and Shock Transfer (only) F60 Circulatory Disorders, Admitted for AMI W/O Invasive Cardiac Investigative Procs Another change of note is that the ECC Model has replaced the major problem, other problem and complicating procedure lists in MDC 15 Newborns and other Neonates. Classification structure While there is an increase in the total number of DRGs following the implementation of the ECC Model, the structure of the AR-DRG classification is largely the same as in Version 7.0, retaining 406 ADRGs comprising 403 non-error ADRGs and three error ADRGs. The logic used in the classification has been simplified, with less reliance on non-complexity variables such as length of stay, to assign episodes into DRGs. The ECC Model was demonstrated to provide a major improvement in the measurement of case complexity in comparison to the PCCL system, and will facilitate more streamlined updating of the classification over time to utilise ongoing improvements in the available data and incorporate changes in clinical practice. Educational resources An educational tutorial on AR-DRG Version 8.0 has been provided on the ACCD website, along with a short quiz as an additional tool to help reinforce the understanding of the ECC Model and the changes in the new version. The education package is intended for users with a basic understanding of the AR-DRG Classification. Additional resources can be found on both the ACCD and IHPA websites, including detailed reports by ACCD on the two major phases of the Version 8.0 development. The AR-DRG Version 8.0 Definitions Manual is available for purchase through IHPA and incorporates detailed information on the changes to the classification. Reference Averill, R.F., Goldfield, N., Hughes, J.S., Bonazelli, J., McCullough, E.C., Steinbeck, B.A., Mullin, R., Tang, A.M., Muldoon, J., Turner, L. and Gay, M.D. (2003). 3M All Patient Refined Diagnosis Related Groups (APR-DRGs) Version 20.0 methodology overview. Available at https://www.hcup-us. ahrq.gov/db/nation/nis/APR-DRGsV20MethodologyOverviewandBibli ography.pdf (accessed 4 Nov 2015). Other changes in AR-DRG Version 8.0 Some modifications were made to the classification as a result of public submissions, which are detailed in the AR-DRG Version 8.0 Definitions Manual. In addition, a review of the ADRG hierarchical order within the ‘surgical’ and ‘other’ partitions resulted in one change in MDC 08 Diseases and Disorders of the Musculoskeletal System and Connective Tissue, moving I27 Soft Tissue Procedures ahead of I30 Hand Procedures in the surgical hierarchy. Carol Loggie, AssocDip(MRA), GCertHlthServ(R&D) Coordinator, AR-DRG Development Australian Consortium for Classification Development National Centre for Classification in Health Faculty of Health Sciences, University of Sydney 75 East Street, Lidcombe NSW 2141 email: [email protected] HIM-INTERCHANGE Vol 6 No 1 2016 ISSN 1838-8620 (PRINT) ISSN 1838-8639 (ONLINE) 27
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