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RE: Counting distinct periods of consecutive days

a.myasnikov — Sat, 06 Oct 2012 06:31:18 GMT

Here's a good reference article. Group Islands of Contiguous Dates (SQL Spackle)[url]http://www.sqlservercentral.com/articles/T-SQL/71550/[/url]

RE: Counting distinct periods of consecutive days

Gatekeeper — Thu, 04 Oct 2012 21:49:32 GMT

[quote][b]jcrawf02 (10/4/2012)[/b][hr]report logic might have a slight flaw. I get why you'd do this for ER visits over midnight, but what if the patient comes in on Friday at noon, goes home and gets sick again or hit by a bus, shows up Saturday afternoon? Unless you're trying to treat these as root cause issues, and want to know that the 2nd visit was avoidable because the 1st didn't treat everything, which is very subjective. just something to think about, there's probably not a 100% correct answer to this one without clinical review[/quote]Actually, we do that quite often when handling claims. We call them interim claims and allow up to three days between when combining. It's far more common to have someone come back because of further complications rather than something unrelated.Harsha, I've found that when you given one report like that, you'll be asked to do it another way. For a DOJ project, I used this so it could be cut many ways.[code="sql"]IF OBJECT_ID('tempdb..#Claims') IS NOT NULL DROP TABLE #ClaimsIF OBJECT_ID('tempdb..#ClaimSpans') IS NOT NULL DROP TABLE #ClaimSpansCREATE TABLE #Claims (ClaimID int IDENTITY(1,1) PRIMARY KEY, PCN varchar(10), Admit date, Discharge date)INSERT INTO #Claims (PCN, Admit, Discharge) VALUES ('000000000A', '2012-01-01', '2012-01-03') , ('000000000A', '2012-01-05', '2012-01-09') , ('000000000A', '2012-01-10', '2012-01-11') , ('000000000A', '2012-01-12', '2012-01-12') , ('000000000A', '2012-01-14', '2012-01-19') , ('000000000A', '2012-01-20', '2012-01-31') , ('000000000B', '2012-01-05', '2012-01-09') , ('000000000B', '2012-01-10', '2012-01-11') , ('000000000B', '2012-02-05', '2012-02-09') , ('000000000B', '2012-02-10', '2012-02-11') , ('000000000B', '2012-02-12', '2012-02-14') , ('000000000B', '2012-02-15', '2012-02-16') , ('000000000B', '2012-02-27', '2012-02-28') , ('000000000B', '2012-03-9', '2012-03-11') , ('000000000C', '2012-03-05', '2012-03-09') , ('000000000D', '2012-04-10', '2012-04-11');WITH Buckets (RowNum, PCN, Yr, Mnth, Admit) as( SELECT ROW_NUMBER() OVER (PARTITION BY PCN ORDER BY PCN, Admit) as RowNum, PCN, YEAR(Admit) as Yr, MONTH(Admit) as Mnth, Admit FROM #Claims GROUP BY PCN, YEAR(Admit), MONTH(Admit), Admit)SELECT z.PCN, z.Yr, z.Mnth, z.Admit, y.Admit as PrevAdmit, DATEDIFF(d, y.Admit, z.Admit) as Days, z.RowNum, y.RowNum as PrevRowNumINTO #ClaimSpansFROM Buckets as zLEFT JOIN Buckets as y ON z.RowNum - 1 = y.RowNum AND z.PCN = y.PCNSELECT * FROM #ClaimSpans-- find claims for patients that came back between 2-4 daysSELECT * FROM #ClaimSpans WHERE Days BETWEEN 2 and 4-- find the count of patients that started in one group below and either stayed within the same group or moved to another span;WITH Buckets (PCN, Bucket, Days, OldRowNum, RowNum)as(SELECT PCN, CASE WHEN Days BETWEEN 0 AND 1 THEN '0 to 1' WHEN Days BETWEEN 2 AND 4 THEN '2 to 4' WHEN Days BETWEEN 4 AND 7 THEN '4 to 7' WHEN Days BETWEEN 8 AND 10 THEN '8 to 10' WHEN Days BETWEEN 11 AND 14 THEN '11 to 14' ELSE '15 to 20' END as Bucket, Days, RowNum as OldRowNum, ROW_NUMBER() OVER (PARTITION BY PCN ORDER BY PCN, RowNum) as RowNum -- recalc RowNumFROM #ClaimSpansWHERE RowNum > 1 -- first claim won't join to a previous claim AND Days <= 20 -- claims over 20 days won't count)SELECT r.FromBucket, r.ToBucket, COUNT(*) as CntFROM( SELECT a.Bucket as FromBucket, b.Bucket as ToBucket FROM Buckets as a JOIN Buckets as b ON a.PCN = b.PCN AND a.RowNum = b.RowNum - 1 AND a.OldRowNum = b.OldRowNum - 1 -- OldRowNum makes sure that there wasn't a break in the sequence, like when the 20+ days were pulled) as r GROUP BY FromBucket, ToBucket-- clean upIF OBJECT_ID('tempdb..#Claims') IS NOT NULL DROP TABLE #ClaimsIF OBJECT_ID('tempdb..#ClaimSpans') IS NOT NULL DROP TABLE #ClaimSpans[/code]

RE: Counting distinct periods of consecutive days

john.rees-894283 — Thu, 04 Oct 2012 15:53:44 GMT

[quote][b]casey-172678 (10/4/2012)[/b][hr]It looks to me like your example counts the last day in a consecutive day grouping as a visit. Here are some wrinkles:First, your data are pure dates. I see this sort of problem more often with input data that are date/time. Second, you are counting the visit on the last day. This is all well and good if you're selecting from an unfiltered data set. But what if you're needing to use this technique against a date range, say patient visits this month? How would you set it up so that your results from querying each month in the year will logically match the results for the whole year, etc.[/quote]I think the script actually counts the number of days that don't have a preceding day, so it should work correctly if you want to select ranges of days for reports.So if you want the number of visits that started in Jan 2012 you would add[code="sql"]where tbl1.er_date between '1/1/2012' and '1/31/2012'[/code]

RE: Counting distinct periods of consecutive days

jcrawf02 — Thu, 04 Oct 2012 06:44:15 GMT

report logic might have a slight flaw. I get why you'd do this for ER visits over midnight, but what if the patient comes in on Friday at noon, goes home and gets sick again or hit by a bus, shows up Saturday afternoon? Unless you're trying to treat these as root cause issues, and want to know that the 2nd visit was avoidable because the 1st didn't treat everything, which is very subjective. just something to think about, there's probably not a 100% correct answer to this one without clinical review

RE: Counting distinct periods of consecutive days

casey-172678 — Thu, 04 Oct 2012 06:01:28 GMT

It looks to me like your example counts the last day in a consecutive day grouping as a visit. Here are some wrinkles:First, your data are pure dates. I see this sort of problem more often with input data that are date/time. Second, you are counting the visit on the last day. This is all well and good if you're selecting from an unfiltered data set. But what if you're needing to use this technique against a date range, say patient visits this month? How would you set it up so that your results from querying each month in the year will logically match the results for the whole year, etc.

Counting distinct periods of consecutive days

harsha.majety — Tue, 01 May 2012 00:55:47 GMT

Comments posted to this topic are about the item [B]Counting distinct periods of consecutive days[/B]