Evidence map›Paper›PMID 29789336›Full record

Observational studyJournal of the American Heart Association2018

Illness Identity: A Novel Predictor for Healthcare Use in Adults With Congenital Heart Disease.

Liesbet Van Bulck, Eva Goossens, Koen Luyckx, Leen Oris, Silke Apers, Philip Moons

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Liesbet Van BulckDepartment of Public Health and Primary Care, KU Leuven - University of Leuven, Belgium.
Eva GoossensDepartment of Public Health and Primary Care, KU Leuven - University of Leuven, Belgium.
Koen LuyckxDepartment of School Psychology and Development in Context, KU Leuven - University of Leuven, Belgium.
Leen OrisDepartment of School Psychology and Development in Context, KU Leuven - University of Leuven, Belgium.
Silke ApersDepartment of Public Health and Primary Care, KU Leuven - University of Leuven, Belgium.
Philip MoonsDepartment of Public Health and Primary Care, KU Leuven - University of Leuven, Belgium philip.moons@kuleuven.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo optimize healthcare use of adults with congenital heart disease, all important predictors of healthcare utilization should be identified. Clinical and psychological characteristics (eg, age and depression) have been found to be associated with healthcare use. However, the concept of illness identity, which assesses the degree to which congenital heart disease is integrated into one's identity, has not yet been investigated in association with healthcare use. Hence, the purpose of the study is to examine the predictive value of illness identity for healthcare use. METHODS AND

resultsIn this ambispective analytical observational cohort study, 216 adults with congenital heart disease were included. The self-reported Illness Identity Questionnaire was used to assess illness identity states: engulfment, rejection, acceptance, and enrichment. After 1 year, self-reported healthcare use for congenital heart disease or other reasons over the past 6 months was assessed including hospitalizations; visits to general practitioner; visits to medical specialists; and emergency room visits. Binary logistic and negative binomial regression analyses were conducted, adjusting for age, sex, disease complexity, and depressive and anxious symptoms. The more profoundly the heart defect dominated one's identity (ie, engulfment), the more likely this person was to be hospitalized (odds ratio=3.76; 95% confidence interval=1.43-9.86), to visit a medical specialist (odds ratio=2.32; 95% confidence interval=1.35-4.00) or a general practitioner (odds ratio=1.78; 95% confidence interval=1.01-3.17), because of their heart defect.

conclusionsIllness identity, more specifically engulfment, has a unique predictive value for the occurrence of healthcare encounters. This association deserves further investigation, in which the directionality of effects and the contribution of illness identity in terms of preventing inappropriate healthcare use should be determined.

Indexed as

Health Knowledge, Attitudes, PracticeIllness BehaviorPatient Acceptance of Health CareAdultAgedAge FactorsCost of IllnessCross-Sectional StudiesFemaleHeart Defects, CongenitalHumansMaleMiddle AgedRejection, PsychologySelf ReportYoung Adultchronic diseasecongenital heart diseasedepressionengulfmentillness identitypsychology and behavior

Identifiers

PMID29789336
PMCPMC6015344

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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.