This is a complex SQL query that appears to be solving several problems related to member data and diabetes diagnosis. Here’s a breakdown of what the query does:

Overview

The query consists of four main parts: DX, members, Members_with_diabetesDX, and Final. Each part performs a specific operation, which are then combined to produce the final result.

Part 1: DX

This is a subquery that retrieves all diabetes diagnosis codes from the DX table. The query uses a SELECT * statement without any filtering conditions, but it’s likely that the original table contains only relevant data for this part of the query.

Part 2: members

This is another subquery that retrieves member data from multiple tables (icue.mbr, dates, and icue.mbr_cov). The query uses a SELECT * statement with several joins to combine data from these tables. It filters the results based on various conditions, including:

• mbr_id_typ_id in (‘2’, ‘3’)
• pol_iss_st_cd = ‘AZ’
• lob_typ_id = ‘12’ or clm_pltfm_id = ‘A9’

Part 3: Members_with_diabetesDX

This is another subquery that joins the results of Part 2 with the dates table and assigns a rank to each member based on the number of diabetes diagnosis codes they have. The query uses a ROW_NUMBER() function to assign unique numbers to each row within each partition (i.e., each group of rows with the same MemberID). The result is a table with multiple columns, including MemberID, SubscriberID, MemberAlternateID, etc.

Part 4: Final

This final part joins the results of Part 3 with itself using several aggregate functions and row numbering operations. It selects specific values from the resulting table, including:

• firstdx (the first diabetes diagnosis code for each member)
• secdx (the second diabetes diagnosis code for each member)
• thirddx (the third diabetes diagnosis code for each member)
• fourthdx (the fourth diabetes diagnosis code for each member)

The query also includes a filter condition to select only rows with uniquerow = '1', which means that the member has only one unique set of values in the specified columns.

Inference

Based on the complexity and structure of this query, it appears to be designed to:

• Retrieve diabetes diagnosis codes from the DX table
• Join multiple tables to retrieve member data
• Assign ranks to members based on their number of diabetes diagnosis codes
• Select specific values from the resulting table, including the first, second, third, and fourth diabetes diagnosis codes for each member

The final filter condition suggests that this query is intended to identify unique sets of values for each member, which may be used for further analysis or reporting purposes.

Last modified on 2025-04-26