Evidence map›Paper›PMID 30070151›Full record

ArticleThe European journal of general practice2018

Influence of patient characteristics on preventive service delivery and general practitioners' preventive performance indicators: A study in patients with hypertension or diabetes mellitus from Hungary.

János Sándor, Attila Nagy, Tibor Jenei, Anett Földvári, Edit Szabó, Orsolya Csenteri, Ferenc Vincze, Valéria Sipos, Nóra Kovács, Anita Pálinkás and 3 more

Open access · goldAbstract read
In one paragraph

Article in The European journal of general practice, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
8.1field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 22 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

13 authors at 1 institution in 1 country.

János Sándora Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Attila Nagya Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Tibor Jeneia Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Anett Földvária Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Edit Szabóa Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Orsolya Csenteria Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Ferenc Vinczea Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Valéria Siposa Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Nóra Kovácsa Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Anita Pálinkása Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Magor Pappb National Institute on Health Development , Department of Primary Health Care , Budapest , Hungary.
Gergely Fürjesa Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
Róza Ádánya Department of Preventive Medicine, Faculty of Public Health , University of Debrecen , Debrecen , Hungary.
University of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegular primary healthcare (PHC) performance monitoring to produce a set of performance indicators for provider effectiveness is a fundamental method for improving guideline adherence but there are potential negative impacts of the inadequate application of this approach. Since performance indicators can reflect patient characteristics and working environments, as well as PHC team contributions, inadequate monitoring practices can reduce their effectiveness in the prevention of cardiometabolic disorders.

objectivesTo describe the influence of patients' characteristics on performance indicators of PHC preventive practices in patients with hypertension or diabetes mellitus.

methodsThis cross-sectional analysis was based on a network of 165 collaborating GPs. A random sample of 4320 adults was selected from GP's patient lists. The response rate was 97.3% in this survey. Sociodemographic status, lifestyle, health attitudes and the use of recommended preventive PHC services were surveyed by questionnaire. The relationship between the use of preventive services and patient characteristics were analysed using hierarchical regression models in a subsample of 1659 survey participants with a known diagnosis of hypertension or diabetes mellitus.

resultsRates of PHC service utilization varied from 18.0% to 97.9%, and less than half (median: 44.4%; IQR: 30.8-62.5) of necessary services were used by patients. Patient attitude was as strong of an influencing factor as demographic properties but was remarkably weaker than patient socioeconomic status.

conclusionThese findings emphasize that PHC performance indicators have to be evaluated concerning patient characteristics.

Indexed as

Quality Indicators, Health CareAdolescentAdultAgedAttitude to HealthCross-Sectional StudiesDelivery of Health CareDiabetes MellitusFemaleGeneral PracticeHealth BehaviorHumansHungaryHypertensionLife StyleMaleGuideline adherencemonitoringpreventive services useprimary carerisk adjustment

Identifiers

PMID30070151
PMCPMC6084504
OpenAlexW2886905338

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.