AI Article Synopsis

  • The SCAMEND study aimed to create a tool for analyzing case-mix complexity in outpatient endocrinology and nutrition clinics, addressing the need for better analysis methods.
  • The Delphi method was used to develop the ISCCE-EyN index by assessing various conditions against a baseline of primary hypothyroidism, revealing first visits as more complex than follow-ups.
  • The tool proved effective for evaluating the complexity of different diseases and can aid in resource allocation, inter-center comparisons, and self-evaluation within clinics.

Article Abstract

Introduction: The tools for analyzing the case-mix in outpatient clinics are scarce few and unsatisfactory. The objective of this study conducted by Sociedad Castellano Manchega de Endocrinología, Nutrición y Diabetes (SCAMEND) was to develop a tool that allows for analyzing the case-mix in outpatient endocrinology and nutrition clinics, considering bearing in mind the complexity of the conditions seen.

Material And Methods: Using the Delphi method, the SCAMEND index of complexity in outpatient endocrinology and nutrition clinics (ISCCE-EyN) was developed by endocrinologists in two rounds, comparing the complexity of each condition being compared with that of a review visit of primary hypothyroidism.

Results: The first visits were considered more complex than the subsequent visits. Non-neoplastic thyroid disease and uncomplicated overweight/obesity were considered as the least complex diseases, while metabolic diseases, multiple endocrine neoplasia syndromes, and adrenal carcinoma were considered as the most complex. The degree of agreement was high in most of the diseases analyzed.

Conclusions: This tool allows for analyzing the case-mix in outpatient endocrinology and nutrition clinics, based on the inherent complexity of the disease of the patient is reported. This tool may be used for comparisons between centers, to better allocate resources within a given service, or for self-evaluation.

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Source
http://dx.doi.org/10.1016/j.endinu.2020.01.009DOI Listing

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