Evidence map›Paper›PMID 40615902›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Assessing the General Health System of Cyprus: a questionnaire analysis based on public perception.

George Evripides, Paul Christodoulides

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

George EvripidesDepartment of Electrical Engineering, Computer Engineering and Informatics, Cyprus University of Technology, Limassol, Cyprus.
Paul ChristodoulidesFaculty of Engineering and Technology, Cyprus University of Technology, Limassol, Cyprus. paul.christodoulides@cut.ac.cy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A medical health system (MHS) can be viewed as a diverse network of organizations, experts, and resources devoted to promoting, maintaining, and restoring health and well-being in people and societies. There are numerous MHS throughout the world, and their success depends on a number of aspects that should be met. One such MHS is the newly established General Health System (GHS) of Cyprus, a blend of national HS and Social Health Insurance, supported by beneficiaries, employers, and the state. Following the results of a recent study, based on the same questionnaire, the aim of the present study is to attempt a further assessment on how the various factors (constructs) and demographic variables of people of Cyprus interact in their view of the GHS. The questionnaire was constructed on the basis of the available literature and the information gathered about MHS and their features. It includes 5-point Likert-scale items reflecting relevant factors such as Satisfaction (SAT), Trust (TRU), Reliability (REL), Expectations (EXP), Improvement factors (IMP), and Comparison of the Cyprus Health System before and after the implementation of GHS (COM), and others. The questionnaire was completed by 445 individuals in all districts of Cyprus between January and March of 2024. The descriptive statistics analysis of the questionnaires led to useful findings such as the particularly low mean values for the constructs of SAT, TRU and REL. Another finding is that there is not much variation in the mean values among the categories of groups such as gender, age, education level, annual income, work sector, and residence district. To this end an Analysis of Variance, followed by a multiple regression analysis on all constructs was done, in order to clarify/verify certain issues, which led to conclusions that can be used for the amelioration of the GHS. Demographic variables such as age group and income level have influences on all constructs mentioned above and must be tackled differently by GHS stakeholders. There is a strong correlation between SAT, TRU and REL and COM meaning that if one aims to make reforms on GHS targeting higher SAT, they should enhance TRU, REL, and COM.

Indexed as

Analysis of varianceHealthcareHypothesis testMedical Health SystemRegression analysis

Identifiers

PMID40615902
PMCPMC12231704

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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.