Evidence map›Paper›PMID 28585881›Full record

ArticleScandinavian journal of primary health care2017

Factors related to poor asthma control in Latvian asthma patients between 2013 and 2015.

Dins Smits, Girts Brigis, Jana Pavare, Baiba Maurina, Noël Christopher Barengo

Abstract read
In one paragraph

Article in Scandinavian journal of primary health care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Review
  2. Observational
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

5 authors.

Dins Smitsa Faculty of Public Health and Social Welfare , Riga Stradins University , Riga , Latvia.
Girts Brigisa Faculty of Public Health and Social Welfare , Riga Stradins University , Riga , Latvia.
Jana Pavareb Faculty of Medicine , Riga Stradins University , Riga , Latvia.
Baiba Maurinac Faculty of Pharmacy , Riga Stradins University , Riga , Latvia.
Noël Christopher Barengod Herbert Wertheim College of Medicine , Florida International University , Miami , Florida , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether beliefs about asthma medication, cognitive and emotional factors are related to poor asthma control in a sample of Latvian asthma patients in 2015.

designCross-sectional, self-administered survey. SUBJECTS: Three hundred and fifty two asthma patients (mean age 57.5 years) attending outpatient pulmonologist consultations in Riga, Latvia during September 2013 to December 2015. The sample size was calculated to detect a prevalence of poor asthma control of 50% with a margin of error of 5% and a power of 95%.

main outcome measuresThe validated Beliefs about Medication Questionnaire (BMQ) and the Brief Illness Perception Questionnaire (brief IPQ) were used. Good asthma control was assessed using the asthma control test (ACT), a validated five-item scale that reliably assesses asthma control over a recall period of four weeks. Logistic regression models were used to predict poor asthma control.

resultsPatients who had a good control of asthma medication (OR 0.70; 95% CI 0.61-0.79) or were confident that their asthma medication improves illness (OR 0.84; 95% CI 0.74-0.95) had a reduced risk of poor asthma control. The more symptoms (OR 1.63; 95% CI 1.44-1.84) the asthma patients perceived or the more their illness affects their life, the higher the probability of poor asthma control (OR 1.47; 95% CI 1.31-1.65). Some beliefs of necessity and concerns of asthma medication were also statistically significantly related to poor asthma control.

conclusionsBeliefs of necessity of asthma medication, cognitive and emotional illness perception factors correlate well with poor asthma control in Latvian patients.

Indexed as

Health Knowledge, Attitudes, PracticeAdultAgedAnti-Asthmatic AgentsAsthmaCross-Sectional StudiesFemaleHumansLatviaLogistic ModelsMaleMedication AdherenceMiddle AgedSurveys and QuestionnairesAnti-Asthmatic AgentsasthmacognitionLatviaMedication adherenceoutpatients

Identifiers

PMID28585881
PMCPMC5499319

What OpenQuestion holds

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LicenceCC BY-NC
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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.