A comparison between physicians and computer algorithms for form CMS‐2728 data reporting
Introduction: CMS‐2728 form (Medical Evidence Report) assesses 23 comorbidities chosen to reflect poor outcomes and increased mortality risk. Previous studies questioned the validity of physician reporting on forms CMS‐2728. We hypothesize that reporting of comorbidities by computer algorithms ident...
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| Published in | Hemodialysis international Vol. 21; no. 1; pp. 117 - 124 |
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| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Canada
01.01.2017
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1492-7535 1542-4758 1542-4758 |
| DOI | 10.1111/hdi.12445 |
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| Summary: | Introduction: CMS‐2728 form (Medical Evidence Report) assesses 23 comorbidities chosen to reflect poor outcomes and increased mortality risk. Previous studies questioned the validity of physician reporting on forms CMS‐2728. We hypothesize that reporting of comorbidities by computer algorithms identifies more comorbidities than physician completion, and, therefore, is more reflective of underlying disease burden. Methods: We collected data from CMS‐2728 forms for all 296 patients who had incident ESRD diagnosis and received chronic dialysis from 2005 through 2014 at Indiana University outpatient dialysis centers. We analyzed patients' data from electronic medical records systems that collated information from multiple health care sources. Previously utilized algorithms or natural language processing was used to extract data on 10 comorbidities for a period of up to 10 years prior to ESRD incidence. These algorithms incorporate billing codes, prescriptions, and other relevant elements. We compared the presence or unchecked status of these comorbidities on the forms to the presence or absence according to the algorithms. Findings: Computer algorithms had higher reporting of comorbidities compared to forms completion by physicians. This remained true when decreasing data span to one year and using only a single health center source. The algorithms determination was well accepted by a physician panel. Importantly, algorithms use significantly increased the expected deaths and lowered the standardized mortality ratios. Discussion: Using computer algorithms showed superior identification of comorbidities for form CMS‐2728 and altered standardized mortality ratios. Adapting similar algorithms in available EMR systems may offer more thorough evaluation of comorbidities and improve quality reporting. |
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| Bibliography: | The authors declare that there are no conflicts of interests. Conflict of Interest Disclosure of grants or other funding Dr. Malas is funded by a grant under the Merck‐Regenstrief Program in Personalized Health Care Research and Innovation, a collaboration between Merck, Sharp, & Dhome and the Regenstrief Institute, and the Regenstrief‐Merck Scholar's Award in Pharmacoepidemiology and Informatics. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1492-7535 1542-4758 1542-4758 |
| DOI: | 10.1111/hdi.12445 |