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PubMed · 10311475

Case-mix adjustments require tighter documentation.

Abstract

Six states currently incorporate case-mix adjustments into their payment formulas for long-term care, and Medicare is likely to follow suit in the near future. Case-mix systems require facilities to keep detailed records on patients' functional abilities, medical conditions, daily progress, and treatment plans. Much of the information required is similar to the data that the Patient Care and Services (PaCS) survey program will collect and evaluate for the new Medicare and Medicaid certification process. Long-term care facilities must establish policies and procedures to accommodate the new requirements. Recommended steps include: Redesign medical record forms so that each patient's functional limitations and medical conditions can be documented. Design care plans so that they identify the patients' disabilities and medical problems, set realistic short- and long-term treatment goals, establish appropriate interventions, and designate the care giver responsible for each intervention. Focus progress notes on problem resolution. Replace medical care evaluation processes with a quality assurance program that determines whether care plans are followed and goals reached.

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BibTeXRIS

P L Grimaldi, T J Shlala. 1986. Case-mix adjustments require tighter documentation.. https://pubmed.ncbi.nlm.nih.gov/10311475/

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OBJECTIVE: Reliability of diagnoses coding is essential for the use of routine data in a national health care system. The present investigation compares reliability of diagnoses coding with ICD-10 between three groups of coding subjects. METHOD: One hundred and eighteen students coded 15 diagnoses lists, 27 medical managers from hospitals 34 discharge letters, and 13 coding specialists 12 discharge letters. Agreement in principal diagnosis was assessed using Cohen's Kappa and the fraction of coincidences over the number of pairs, agreement for the full set of diagnoses with a previously developed measure p(om). RESULTS: Kappa values were fair (managers) or moderate (coders) for terminal codes with 0.27 and 0.42 (agreement 29.2% versus 46.8%), substantial for the chapter level with 0.71 and 0.72 (agreement 78.3% versus 80.8%). p(om) was lower for the full set of diagnoses than for principal diagnoses, for example in case of managers with 0.21 versus 0.29 for terminal codes. Best results were achieved by students coding diagnoses lists. In summary, the results are remarkably lower than in earlier publications. CONCLUSION: The refinement of the ICD-10 accompanied by innumerous coding rules has established a complex environment that leads to significant uncertainties even for experts. Use of coded data for quality management, health care financing, and health care policy requires a remarkable simplification of ICD-10 to receive a valid image of health care reality.

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