Evidence map›Paper›PMID 39373139›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2024

Effect of Health Literacy and Patient Activation on Health-Seeking Behaviour: A Cross-Sectional Study in Turkey.

Mehmet Akif Erişen

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

1 author.

Mehmet Akif ErişenDepartment of Healthcare Management, Erbaa Health Science Faculty, Tokat Gaziosmanpaşa University, Tokat, Turkey.ORCID 0000-0003-2490-391X

Funding

The author received no specific funding for this work.
6 · The paper itself

Abstract

backgroundThe study aimed to investigate the effect of health literacy and patient activation on health-seeking behaviour. In addition, the role of general health status and age variables in this effect was also addressed.

methodsThe research using quantitative methods is cross-sectional. The participant information form, health literacy scale, patient activation scale and health-seeking behaviour scale were used in the study. In addition to descriptive analyses, difference analysis, correlation analysis and multiple linear regression analysis were used in the study. The study participants consisted of 1045 adult individuals living in Turkey.

resultsAccording to the correlation analysis results, it was determined that health literacy and patient activation were significantly positively associated with health-seeking behaviour. According to multiple linear regression analysis, the independent variables of health literacy, patient activation, age and general health status significantly affected health-seeking behaviour. Accordingly, patient activation and general health status positively affect health-seeking behaviour, while health literacy and age have a negative effect.

conclusionTo positively improve individuals' health-seeking behaviours, it is thought that it would be appropriate to focus on individuals whose general health status is not good, who are not actively involved in their treatment, who have high health literacy and who are elderly. PATIENT OR PUBLIC CONTRIBUTION: Since the research examines the effect of patient activation and health literacy on health-seeking behaviour, it is of great importance for the research that the public and patients are included in the study from the design of the research to the presentation of the findings. The emergence of the study was made possible by the public and patients' evaluations of the research topics and their participation in the survey.

Indexed as

Health LiteracyPatient ParticipationAdolescentAdultAgedAge FactorsCross-Sectional StudiesFemaleHealth BehaviorHealth StatusHumansMaleMiddle AgedPatient Acceptance of Health CareSurveys and QuestionnairesTurkeyhealth literacyhealth‐seekingpatientpatient activationTurkey

Identifiers

PMID39373139
PMCPMC11456960

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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.