Evidence map›Paper›PMID 28018877›Full record

ArticleCMAJ open

Validity of Canadian discharge abstract data for hypertension and diabetes from 2002 to 2013.

Jason Jiang, Danielle Southern, Cynthia A Beck, Matthew James, Mingshan Lu, Hude Quan

Open access · diamondAbstract read
In one paragraph

Article in CMAJ open. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Jason JiangDepartments of Community Health Sciences (Jiang, Southern, Beck, James, Lu, Quan), Psychiatry (Beck), Medicine (James) and Economics (Lu), University of Calgary, Calgary, Alta.
Danielle SouthernDepartments of Community Health Sciences (Jiang, Southern, Beck, James, Lu, Quan), Psychiatry (Beck), Medicine (James) and Economics (Lu), University of Calgary, Calgary, Alta.
Cynthia A BeckDepartments of Community Health Sciences (Jiang, Southern, Beck, James, Lu, Quan), Psychiatry (Beck), Medicine (James) and Economics (Lu), University of Calgary, Calgary, Alta.
Matthew JamesDepartments of Community Health Sciences (Jiang, Southern, Beck, James, Lu, Quan), Psychiatry (Beck), Medicine (James) and Economics (Lu), University of Calgary, Calgary, Alta.
Mingshan LuDepartments of Community Health Sciences (Jiang, Southern, Beck, James, Lu, Quan), Psychiatry (Beck), Medicine (James) and Economics (Lu), University of Calgary, Calgary, Alta.
Hude QuanDepartments of Community Health Sciences (Jiang, Southern, Beck, James, Lu, Quan), Psychiatry (Beck), Medicine (James) and Economics (Lu), University of Calgary, Calgary, Alta.
University of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurveillance using coded administrative health data has shown that the prevalence of hypertension and diabetes in Canada increased substantially between 1998 to 2008. These findings require an assumption that the validity of hypertension and diabetes coding is stable over time. We tested this assumption by examining temporal trends in the validity of coding for hypertension and diabetes in the Canadian hospital Discharge Abstract Database.

methodsWe used the Alberta Provincial Project for Outcome Assessment in Coronary Heart Disease (APPROACH) database, a clinical registry, as the reference standard to evaluate the validity of the Discharge Abstract Database in recording hypertension and diabetes in Alberta. The APPROACH database contains data for all Alberta residents who have undergone cardiac catheterization and includes prospective ascertainment of comorbid conditions before each procedure. We linked patient data between the 2 databases for 2002 to 2013 using patient provincial health number. Temporal trends in sensitivity, specificity, positive predictive value, negative predictive value and Cohen κ were calculated for both hypertension and diabetes in the Discharge Abstract Database.

resultsWe matched 63 483 patients between the APPROACH database and the Discharge Abstract Database. The validity of the Discharge Abstract Database for hypertension and diabetes remained mostly consistent over time. Between 2002 and 2013, sensitivity, specificity, positive predictive value and negative predictive value ranged from 66% to 87% for hypertension and from 81% to 98% for diabetes; the corresponding κ scores ranged from 0.50 to 0.62 and from 0.80 to 0.89. No significant differences in the validity of coding were found across age, sex or hospital location subgroups.

interpretationThe validity of coding for hypertension and diabetes in the Discharge Abstract Database remained fairly consistent between 2002 and 2013. Our findings support the use of the Discharge Abstract Database for hypertension and diabetes surveillance in hospital settings.

Identifiers

PMID28018877
PMCPMC5173472
OpenAlexW2541451795

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.