I have a table containing records for patient admissions to a group of hospitals.
I would like to be able to link each record to the most recent previous record for each patient, if there is a previous record or return a null field if there is no previous record.
Further to this I would like to place some criteria of the linked records eg previous visit to the same hospital only, previous visit was less than 7 days before.
The data looks something like this (with a whole lots of other fields)
Record PatientID hospital Admitdate DischargeDate
1. 1. A. 1/2/12. 3/2/12
2. 2. A. 1/2/12. 4/2/12
3. 1. B. 4/3/12. 4/3/12
My thinking was a self join but I can't figure out how to join to the record where the difference between the admit date and the patient's previous discharge date is the minimum.
Thanks!
You could use row_number() to assign increasing numbers to records for each patient. Then you can left join to the previous record:
; with numbered_records as
(
select row_number() over (partition by PatientID, Hospital
order by Record desc) as rn
, *
from YourTable
)
select *
from numbered_records cur
left join
numbered_records prev
on prev.PatientID = cur.PatientID
and prev.Hospital = cur.Hospital
and prev.DischargeDate >= dateadd(day, -7, getdate())
and prev.rn = cur.rn + 1
To select only the latest row per patient, add:
where cur.rn = 1
at the end of the query.
It will give you the First 2 records of the same patients. If you want the same Hospital then add another check of Hospital with the PatientID. Also can add the Date as well.
SELECT * FROM T1 t
WHERE (2 >= (SELECT Count(*) FROM T1 tmp
WHERE t.PatientID = tmp.PatientID
AND t.Record <= tmp.Record))
It will only bring the one record if there is only one entry.
Note that:
I used DATE for data type. It might be possible that a patient visits one hospital before noon, and another in the afternoon. You would use DATETIME in that case. Sorting on the partitioning uses dt_admit before record_id, to allow for entry of data in any order.
CREATE TABLE #hdata(
record_id INT NOT NULL IDENTITY(1,1) PRIMARY KEY,
patient_id INT NOT NULL,
hospital_id INT NOT NULL,
dt_admit DATE NOT NULL,
dt_discharge DATE NULL
);
INSERT INTO #hdata(
patient_id,
hospital_id,
dt_admit,
dt_discharge
)
VALUES (
1,
1,
'2012-02-01',
'2012-02-03'
), (
2,
1,
'2012-02-01',
'2012-02-04'
), (
1,
2,
'2012-03-04',
'2012-03-04'
);
-- 1/ link each record to the previous record for each patient, NULL if none
SELECT
record_id,
patient_id,
ROW_NUMBER() OVER (PARTITION BY patient_id ORDER BY dt_admit,record_id) AS visit_seq_id
INTO
#visit_sequence
FROM
#hdata;
SELECT
v1.record_id,
v1.patient_id,
v2.record_id AS previous_record_id
FROM
#visit_sequence AS v1
LEFT JOIN #visit_sequence AS v2 ON
v2.patient_id=v1.patient_id AND
v2.visit_seq_id=v1.visit_seq_id-1
ORDER BY
v1.record_id;
DROP TABLE #visit_sequence;
-- 2/ criteria on linked records: same hospital, previous visit < 7 days
SELECT
record_id,
patient_id,
hospital_id,
dt_admit,
ROW_NUMBER() OVER (PARTITION BY patient_id,hospital_id ORDER BY dt_admit,record_id) AS visit_seq_id
INTO
#visit_sequence_elab
FROM
#hdata;
SELECT
v1.record_id,
v1.patient_id,
v2.record_id AS previous_record_id
FROM
#visit_sequence_elab AS v1
LEFT JOIN #visit_sequence_elab AS v2 ON
v2.patient_id=v1.patient_id AND
v2.hospital_id=v1.hospital_id AND
v2.visit_seq_id=v1.visit_seq_id-1 AND
DATEDIFF(DAY,v1.dt_admit,v2.dt_admit)<7
ORDER BY
v1.record_id;
DROP TABLE #visit_sequence_elab;
DROP TABLE #hdata;
Related
I wrote a query which uses 2 temp tables. And then joins them into 1. However, I am seeing duplicate records in the student visit temp table. (Query is below). How could this be modified to remove the duplicate records of the visit temp table?
with clientbridge as (Select *
from (Select visitorid, --Visid
roomnumber,
room_id,
profid,
student_id,
ambc.datekey,
RANK() over(PARTITION BY visitorid,student_id,profid ORDER BY ambc.datekey desc) as rn
from university.course_office_hour_bridge cohd
--where student_id = '9999999-aaaa-6634-bbbb-96fa18a9046e'
)
where rn = 1 --visitorid = '999999999999999999999999999999'---'1111111111111111111111111111111' --and pai.datekey is not null --- 00000000000000000000000000
),
-----------------Data Header Table
studentvisit as
(SELECT
--Visit key will allow us to track everything they did within that visit.
distinct visid_visitorid,
--calcualted_visitorid,
uniquevisitkey,
--channel, -- says the room they're in. Channel might not be reliable would need to see how that operates
--office_list, -- add 7 to exact
--user_college,
--first_office_hour_name,
--first_question_time_attended,
studentaccountid_5,
profid_officenumber_8,
studentvisitstarttime,
room_id_115,
--date_time,
qqq144, --Course Name
qqq145, -- Course Office Hour Benefit
qqq146, --Course Office Hour ID
datekey
FROM university.office_hour_details ohd
--left_join niversity.course_office_hour_bridge cohd on ohd.visid_visitorid
where DateKey >='2022-10-01' --between '2022-10-01' and '2022-10-27'
and (qqq146 <> '')
)
select
*
from clientbridge ab inner join studentvisit sv on sv.visid_visitorid = cb.visitorid
I wrote a query which uses 2 temp tables. And then joins them into 1. However, I am seeing duplicate records in the student visit temp table. (Query is below). How could this be modified to remove the duplicate records of the visit temp table?
I think you may get have a better shot by joining the two datasets in the same query where you want the data ranked, otherwise your rank from query will be ignored within the results from the second query. Perhaps, something like ->
;with studentvisit as
(SELECT
--Visit key will allow us to track everything they did within that visit.
distinct visid_visitorid,
--calcualted_visitorid,
uniquevisitkey,
--channel, -- says the room they're in. Channel might not be reliable would need to see how that operates
--office_list, -- add 7 to exact
--user_college,
--first_office_hour_name,
--first_question_time_attended,
studentaccountid_5,
profid_officenumber_8,
studentvisitstarttime,
room_id_115,
--date_time,
qqq144, --Course Name
qqq145, -- Course Office Hour Benefit
qqq146, --Course Office Hour ID
datekey
FROM university.office_hour_details ohd
--left_join niversity.course_office_hour_bridge cohd on ohd.visid_visitorid
where DateKey >='2022-10-01' --between '2022-10-01' and '2022-10-27'
and (qqq146 <> '')
)
,clientbridge as (
Select
sv.*,
university.course_office_hour_bridge cohd, --Visid
roomnumber,
room_id,
profid,
student_id,
ambc.datekey,
RANK() over(PARTITION BY sv.visitorid,sv.student_id,sv,profid ORDER BY ambc.datekey desc) as rn
from university.course_office_hour_bridge cohd
inner join studentvisit sv on sv.visid_visitorid = cohd.visitorid
)
select
*
from clientbridge WHERE rn=1
I wrote a query which uses 2 temp tables. And then joins them into 1. However, I am seeing duplicate records in the student visit temp table. (Query is below). How could this be modified to remove the duplicate records of the visit temp table?
with studentvisit as
(SELECT
--Visit key will allow us to track everything they did within that visit.
distinct visid_visitorid,
uniquevisitkey,
studentaccountid_5,
profid_officenumber_8,
studentvisitstarttime,
room_id_115,
qqq144, --Rewards Accrual Name
qqq145, -- Rewards accrual type what they earned
qqq146, --Rewards Accrual ID
datekey
FROM university.office_hour_details ohd
where DateKey >='2022-10-27' --between '2022-10-26' and '2022-10-27'
and (qqq146 <> '')
)
,clientbridge as (
Select
studentvisit.*, university.course_office_hour_bridge cohd,
cohd.visitorid,
cohd.roomnumber,
cohd.room_id,
cohd.profid,
cohd.student_id,
cohd.datekey,
RANK() over(PARTITION BY adobevisitorid,student_id,profid ORDER BY cohd.datekey desc) as rn
from university.course_office_hour_bridge cohd
inner join studentvisit sv on sv.visid_visitorid = cohd.adobevisitorid
)
select * from clientbridge WHERE rn = 1
I have a table with a structure
(rx)
clmID int
patid int
drugclass char(3)
drugName char(25)
fillDate date
scriptEndDate date
strength int
And a query
;with PatientDrugList(patid, filldate,scriptEndDate,drugClass,strength)
as
(
select rx.patid,rx.fillDate,rx.scriptEndDate,rx.drugClass,rx.strength
from rx
)
,
DrugList(drugName)
as
(
select x.drugClass
from (values('h3a'),('h6h'))
as x(drugClass)
where x.drugClass is not null
)
SELECT PD.patid, C.calendarDate AS overlap_date
FROM PatientDrugList AS PD, Calendar AS C
WHERE drugClass IN ('h3a','h6h')
AND calendardate BETWEEN filldate AND scriptenddate
GROUP BY PD.patid, C.CalendarDate
HAVING COUNT(DISTINCT drugClass) = 2
order by pd.patid,c.calendarDate
The Calendar is simple a calendar table with all possible dates throughout the length of the study with no other columns.
My query returns data that looks like
The overlap_date represents every day that a person was prescribed a drug in the two classes listed after the PatientDrugList CTE.
I would like to find the number of consecutive days that each person was prescribed both families of drugs. I can't use a simple max and min aggregate because that wouldn't tell me if someone stopped this regimen and then started again. What is an efficient way to find this out?
EDIT: The row constructor in the DrugList CTE should be a parameter for a stored procedure and was amended for the purposes of this example.
You are looking for consecutive sequences of dates. The key observation is that if you subtract a sequence from the dates, you'll get a constant date. This defines a group of dates all in sequence, which can then be grouped.
select patid
,MIN(overlap_date) as start_overlap
,MAX(overlap_date) as end_overlap
from(select cte.*,(dateadd(day,row_number() over(partition by patid order by overlap_Date),overlap_date)) as groupDate
from cte
)t
group by patid, groupDate
This code is untested, so it might have some typos.
You need to pivot on something and a max and min work that out. Can you state if someone had both drugs on a date pivot? Then you would be limiting by date if I understand your question correctly.
EG Example SQL:
declare #Temp table ( person varchar(8), dt date, drug varchar(8));
insert into #Temp values ('Brett','1-1-2013', 'h3a'),('Brett', '1-1-2013', 'h6h'),('Brett','1-2-2013', 'h3a'),('Brett', '1-2-2013', 'h6h'),('Joe', '1-1-2013', 'H3a'),('Joe', '1-2-2013', 'h6h');
with a as
(
select
person
, dt
, max(case when drug = 'h3a' then 1 else 0 end) as h3a
, max(case when drug = 'h6h' then 1 else 0 end) as h6h
from #Temp
group by person, dt
)
, b as
(
select *, case when h3a = 1 and h6h = 1 then 1 end as Logic
from a
)
select person, count(Logic) as DaysOnBothPresriptions
from b
group by person
Referring to the diagram below the records table has unique Records. Each record is updated, via comments through an Update Table. When I join the two I get lots of duplicates.
How to remove duplicates? Group By does not work for me as I have more than 10 fields in select query and some of them are functions.
Write a sub query which pulls the last updates in the Update table for each record that is updated in a particular month. Joining with this sub query will solve my problem.
Thanks!
Edit
Table structure that is of interest is
create table Records(
recordID int,
90more_fields various
)
create table Updates(
update_id int,
record_id int,
comment text,
byUser varchar(25),
datecreate datetime
)
Here's one way.
SELECT * /*But list columns explicitly*/
FROM Orange o
CROSS APPLY (SELECT TOP 1 *
FROM Blue b
WHERE b.datecreate >= '20110901'
AND b.datecreate < '20111001'
AND o.RecordID = b.Record_ID2
ORDER BY b.datecreate DESC) b
Based on the limited information available...
WITH cteLastUpdate AS (
SELECT Record_ID2, UpdateDateTime,
ROW_NUMBER() OVER(PARTITION BY Record_ID2 ORDER BY UpdateDateTime DESC) AS RowNUM
FROM BlueTable
/* Add WHERE clause if needed to restrict date range */
)
SELECT *
FROM cteLastUpdate lu
INNER JOIN OrangeTable o
ON lu.Record_ID2 = o.RecordID
WHERE lu.RowNum = 1
Last updates per record and month:
SELECT *
FROM UPDATES outerUpd
WHERE exists
(
-- Magic part
SELECT 1
FROM UPDATES innerUpd
WHERE innerUpd.RecordId = outerUpd.RecordId
GROUP BY RecordId
, date_part('year', innerUpd.datecolumn)
, date_part('month', innerUpd.datecolumn)
HAVING max(innerUpd.datecolumn) = outerUpd.datecolumn
)
(Works on PostgreSQL, date_part is different in other RDBMS)
I'm trying to build a query for a medical database that counts the number of patients that were on at least one medication from a class of medications (the medications listed below in the FAST_MEDS CTE) and had either:
1) A diagnosis of myopathy (the list of diagnoses in the FAST_DX CTE)
2) A CPK lab value above 1000 (the lab value in the FAST_LABS CTE)
and this diagnosis or lab happened AFTER a patient was on a statin.
The query I've included below does that under the assumption that once a patient is on a statin, they're on a statin forever. The first CTE collects the ids of patients that were on a statin along with the first date of their diagnosis, the second those with a diagnosis, and the third those with a high lab value. After this I count those that match the above criteria.
What I would like to do is drop the assumption that once a patient is on a statin, they're on it for life. The table edw_dm.patient_medications has a column called start_dts and end_dts. This table has one row for each prescription written, with start_dts and end_dts denoting the start and end date of the prescription. End_dts could be null, which I'll take to assume that the patient is currently on this medication (it could be a missing record, but I can't do anything about this). If a patient is on two different statins, the start and ends dates can overlap, and there may be multiple records of the same medication for a patient, as in a record showing 3-11-2000 to 4-5-2003 and another for the same patient showing 5-6-2007 to 7-8-2009.
I would like to use these two columns to build a query where I'm only counting the patients that had a lab value or diagnosis done during a time when they were already on a statin, or in the first n (say 3) months after they stopped taking a statin. I'm really not sure how to go about rewriting the first CTE to get this information and how to do the comparison after the CTEs are built. I know this is a vague question, but I'm really stumped. Any ideas?
As always, thank you in advance.
Here's the current query:
WITH FAST_MEDS AS
(
select distinct
statins.mrd_pt_id, min(year(statins.order_dts)) as statin_yr
from
edw_dm.patient_medications as statins
inner join mrd.medications as mrd
on statins.mrd_med_id = mrd.mrd_med_id
WHERE mrd.generic_nm in (
'Lovastatin (9664708500)',
'lovastatin-niacin',
'Lovastatin/Niacin',
'Lovastatin',
'Simvastatin (9678583966)',
'ezetimibe-simvastatin',
'niacin-simvastatin',
'ezetimibe/Simvastatin',
'Niacin/Simvastatin',
'Simvastatin',
'Aspirin Buffered-Pravastatin',
'aspirin-pravastatin',
'Aspirin/Pravastatin',
'Pravastatin',
'amlodipine-atorvastatin',
'Amlodipine/atorvastatin',
'atorvastatin',
'fluvastatin',
'rosuvastatin'
)
and YEAR(statins.order_dts) IS NOT NULL
and statins.mrd_pt_id IS NOT NULL
group by statins.mrd_pt_id
)
select *
into #meds
from FAST_MEDS
;
--return patients who had a diagnosis in the list and the year that
--diagnosis was given
with
FAST_DX AS
(
SELECT pd.mrd_pt_id, YEAR(pd.init_noted_dts) as init_yr
FROM edw_dm.patient_diagnoses as pd
inner join mrd.diagnoses as mrd
on pd.mrd_dx_id = mrd.mrd_dx_id
and mrd.icd9_cd in
('728.89','729.1','710.4','728.3','729.0','728.81','781.0','791.3')
)
select *
into #dx
from FAST_DX;
--return patients who had a high cpk value along with the year the cpk
--value was taken
with
FAST_LABS AS
(
SELECT
pl.mrd_pt_id, YEAR(pl.order_dts) as lab_yr
FROM
edw_dm.patient_labs as pl
inner join mrd.labs as mrd
on pl.mrd_lab_id = mrd.mrd_lab_id
and mrd.lab_nm = 'CK (CPK)'
WHERE
pl.lab_val between 1000 AND 999998
)
select *
into #labs
from FAST_LABS;
-- count the number of patients who had a lab value or a medication
-- value taken sometime AFTER their initial statin diagnosis
select
count(distinct p.mrd_pt_id) as ct
from
mrd.patient_demographics as p
join #meds as m
on p.mrd_pt_id = m.mrd_pt_id
AND
(
EXISTS (
SELECT 'A' FROM #labs l WHERE p.mrd_pt_id = l.mrd_pt_id
and l.lab_yr >= m.statin_yr
)
OR
EXISTS(
SELECT 'A' FROM #dx d WHERE p.mrd_pt_id = d.mrd_pt_id
AND d.init_yr >= m.statin_yr
)
)
You probably don't need to select all of your CTE defined queries into temp tables.
I think that the query you're after has the form:
WITH FAST_MEDS(PatientID, StartDate, EndDate) AS
(
--your query for patients on statins, projecting the patient ID and the start/end date for the medication
),
FAST_DX(PatientID, Date) AS
(
--your query for patients with certain diagnosis, projecting the patient ID and the date
),
FAST_LABS(PatientID, Date) AS
(
--your query for patients with certain labs, projecting the patient ID and the date
)
SELECT PatientID
FROM FAST_MEDS
WHERE PatientID IN (SELECT PatientID FROM FAST_DX WHERE Date BETWEEN StartDate AND EndDate OR EndDate IS NULL AND StartDate < Date)
OR PatientID IN (SELECT PatientID FROM FAST_LABS WHERE Date BETWEEN StartDate AND EndDate OR EndDate IS NULL AND StartDate < Date)