Evidence map›Paper›PMID 38840412›Full record

ArticleEuropean journal of public health2024

Which factors influence health services utilization in Bulgaria? Results of a cross-sectional survey.

Elka Atanasova, Svetlana Panayotova

Abstract read
In one paragraph

Article in European journal of public health, 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Elka AtanasovaDepartment of Health Economics and Management, Faculty of Public Health, Medical University-Varna, Varna, Bulgaria.
Svetlana PanayotovaDepartment of Health Economics and Management, Faculty of Public Health, Medical University-Varna, Varna, Bulgaria.ORCID 0000-0002-3209-2347

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch on the factors influencing health care services utilization in Bulgaria does not apply a particular model to analyze these determinants. To fill this gap, we apply the Andersen's Behavioural Model, a commonly used framework, to determine the factors that impact the utilization of health care services in our country.

methodsData are collected in an online survey conducted in Bulgaria in 2023 among consumers. The standardized questionnaire includes questions on the utilization of health care services used by the respondent during the preceding 12 months. We apply binary logistic regressions to analyze predictors of visits to general practitioners and medical specialists, as well as hospitalizations.

resultsThe results of the regression analysis show that the factors of self-reported health status and the presence of a chronic disease influence the utilization of health care services except for general practitioner visits. Greater trust in general practitioners and hospitals is associated with an increased probability of undergoing examinations and hospitalizations. Predisposing and enabling characteristics appear as significant determinants of health care utilization.

conclusionThe study confirms the relevance of the Behavioural Model for the use of health care services in the Bulgarian context. Further research on health outcomes and their impact on utilization can help determine the most efficient level and appropriateness of the use of health care services.

Indexed as

Health ServicesPatient Acceptance of Health CareAdolescentAdultAgedBulgariaCross-Sectional StudiesFemaleHealth StatusHospitalizationHumansMaleMiddle AgedSurveys and QuestionnairesYoung Adult

Identifiers

PMID38840412
PMCPMC11293837

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.