Evidence map›Paper›PMID 34277542›Full record

ArticleFrontiers in public health2021

Analysis of the Household and Health Care System Expenditures in Bulgaria.

Zornitsa Mitkova, Guenka Petrova

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

2 authors.

Zornitsa MitkovaDepartment of Organization and Economy of Pharmacy, Faculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.
Guenka PetrovaDepartment of Organization and Economy of Pharmacy, Faculty of Pharmacy, Medical University of Sofia, Sofia, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health care systems worldwide are experiencing tremendous financial pressure because of the introduction of new targeted health technologies and medicines. This study aims to analyze and compare public and household healthcare expenditures in Bulgaria during the period 2015-2019, as well as present the major cost-containment measures implied by the government and their probable influence on the overall health care cost. Regulatory analysis of the endorsed cost-containment measures, budget analysis of public and household health care expenditures, and their extrapolations were performed. The regulatory analysis reveals that a large number of measures are introduced and valid until January 2021, considering pharmaceuticals, medical devices, and negotiations between the National Health Insurance Fund (NHIF) and Marketing authorization holders (MAHs). NHIF costs due to pharmaceuticals, food supplements, and medical devices are rising from 2015 to 2019. The overall health expenditures average per household and the average per person also grow in this period. The cost extrapolation reveals that an increase in 3-year periods is expected. Despite the implementation of variety of cost-containment measures in Bulgaria, such as HTA, ERP, discounts, and annual negotiations, The National Health Insurance Fund's (NHIF) spending on pharmaceuticals continues to rise in recent years, and further increases are expected in the next 3 years. The average expenditure per household and per person also increased, which confirms the global trend of rising medicine and outpatient services value.

Indexed as

Delivery of Health CareHealth ExpendituresBulgariaCost ControlHumansNational Health ProgramsBulgariacost containment measureshealthcare expenditurehousehold expenditurespublic expenditures

Identifiers

PMID34277542
PMCPMC8283121

What OpenQuestion holds

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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.