Evidence map›Paper›PMID 10980078›Full record

ArticleQuality in health care : QHC2000

Quality improvement programme for cardiovascular disease risk factor recording in primary care.

E Ketola, R Sipilä, M Mäkelä, M Klockars

Abstract read
In one paragraph

Article in Quality in health care : QHC, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
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

4 authors.

E KetolaNorthern Health Care Center, Helsinki, Finland. e.ketola@pp.fimnet.fi
R Sipilä
M Mäkelä
M Klockars

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesEvaluation of the effect of a quality improvement programme on cardiovascular disease (CVD) risk factor recording and risk factor levels in a controlled study at two primary health care centres serving 26,000 inhabitants in Northern Helsinki.

methodsFrom a random sample of patient records from 1995 (n=1,066), 1996 (n=1,042), and 1997 (n=1,040) the frequency of CVD risk factor recording was measured and the changes in mean levels of total cholesterol, blood glucose, blood pressure, and body weight were monitored during the follow up period. The intervention programme (1995-1996) consisted of lectures and meetings of multiprofessional teams, development of local guidelines, and introduction of a structured risk factor recording sheet as part of the patient records.

resultsAfter the quality improvement period all risk factors were better recorded at the intervention station than at the control station (p<0.001). More high risk CVD patients were detected from the general population at the intervention station. The mean values of most measured risk factors changed during the intervention. During the follow up period differences were observed between the two health stations in the time trends for body weight, body mass index (BMI), total cholesterol, and glucose levels. Risk factor levels of high risk patients receiving CVD treatment decreased during the intervention.

conclusionsA simple quality improvement programme improved the practice of recording risk factors for CVD which resulted in earlier detection of patients with a high risk of developing the disease.

Indexed as

Medical History TakingAdolescentAdultCardiovascular DiseasesFemaleFinlandForms and Records ControlHumansMaleMedical AuditMiddle AgedNational Health ProgramsPractice Guidelines as TopicPrimary Health CareRisk AssessmentRisk Factors

Identifiers

PMID10980078
PMCPMC1743531

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Registered trials

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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.