Date: Sat, 30 Mar 2024 00:46:49 +1100 (AEDT)
Message-ID: <1071421991.32769.1711720009314@[172.31.33.25]>
Subject: Exported From Confluence
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The Adjusted column is designed to remove duplicate patients i.e. it wil=
l count patients who have visited multiple practices in a PHN catchment onl=
y once.
Where a patient has records from multiple practices, a virtual patient r=
ecord is created which combines the records into one (refer [Virtual Patien=
t]). The number in the 'Adjusted' column will count the 'virtual' patient r=
ecord for these patients rather than the separate records that have been up=
loaded .
The Adjusted column will give a more accurate count of patients in the P=
HN catchment in contrast to the PHN (or other Organisation) total column wh=
ich includes all patients records that have been uploaded from the individu=
al clinics, and hence patients who have visited more than one practice in a=
n organisation's catchment will be counted more than once.
Adjusted Column without Practice Filters
When used for the whole catchment (no Practice filters) the Adjusted col=
umn will normally show a lower number than the PHN total column, as all pat=
ients are included and duplicates are removed. Based on observed numbers th=
is can be between 10 and 25% less patients as visiting more than one practi=
ce is very common.
Occasionally though when using filters, the adjusted column can be highe=
r than the total. Consider this example:
- A patient has visited multiple practices
- The patient has a diagnosis of Asthma recorded at one practice but not =
the other - this means the virtual patient has a diagnosis of Asthma
- The patient is an active patient (3 or more visits to one practice) at =
one practice but not the other - this means the virtual patient is an=
active patient
Patient |
Asthma |
Active Status |
Practice 1 |
Yes |
No |
Practice 2 |
No |
Yes |
|
|
|
Virtual Patient |
Yes |
Yes |
- Filter for Active patients with Asthma.
- The virtual patient meets the criteria for both but neither of the indi=
vidual patient records do. When you apply the filter for Active patients wi=
th Asthma there will be none in the PHN Total column but one patient in the=
Adjusted column
Using this example, we can show how the Adjusted column can appear to ha=
ve more patients then the Total practice population count. We have found th=
ese cases are rare and usually the differences in the counts are very small=
.
Practice Name |
Total Population |
Adjusted Population |
Practice 1 |
0 |
1 |
Practice 2 |
0 |
1 |
Adjusted Column with Practice Filters
When used with practice filters, the Adjusted column will include patien=
ts that have had any visit to the practice(s) selected. The data for the vi=
rtual patient may include data that has originated from another practice th=
at is not part of the filter. This often has the effect of returning higher=
numbers in the Adjusted column compared to the PHN total column.
It should be noted that the virtual patient record, which is a combined =
record from multiple practices, provides a more complete picture of the pat=
ient than the data from one practice alone. This can provide very interesti=
ng insights when filtering for one practice alone as it enables a view of h=
ow much patient data has been recorded elsewhere and is missing from the pr=
actice=E2=80=99s own records.
In the example below the filters applied are for one practice and for pa=
tients with diabetes. The PHN total column shows there are 819 patients at =
the practice that meet this criteria but the Adjusted column shows 1061. Th=
is means there are 242 patients who have been diagnosed with diabetes at on=
e or more other practices and the diagnosis is missing in the practice=E2=
=80=99s own records.
The practice actually has 1,061 patients with diabetes. This might be be=
cause there are patients that have come to the practice once for something =
minor so the history wasn=E2=80=99t recorded in detail and the diabetes dia=
gnosis was never made, or for a number of other reasons.
The adjusted column was not designed for this function but it can provid=
e interesting data as it enables the PAT CAT user to see information about =
patient groups that has been entered at other clinics than the one(s) filte=
red for. It does not provide information where the information was entered,=
but it might still be useful for some research.
Generally we don't recommend to use the adjusted data for reporting when=
filtering by practice(s), but as the above example shows, there can be val=
uable information gained from this report when filtering for one practice.<=
/p>
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