Evidence map›Paper›PMID 34559806›Full record

ArticlePloS one2021

HB-HTA as an implementation problem in Polish health policy.

Małgorzata Gałązka-Sobotka, Aldona Frączkiewicz-Wronka, Iwona Kowalska-Bobko, Hanna Kelm, Karolina Szymaniec-Mlicka

Abstract read
In one paragraph

Article in PloS one, 2021. 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. Using the Dynamic SWOT Analysis to Assess Options for Implementing the HB-HTA Model.International journal of environmental research and public health · 2022
    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

5 authors.

Małgorzata Gałązka-SobotkaInstitute of Healthcare Management, Lazarski University, Warsaw, Poland.
Aldona Frączkiewicz-WronkaDepartment of Public Management, University of Economics in Katowice, Katowice, Poland.
Iwona Kowalska-BobkoFaculty of Health Science, Institute of Public Health, Medical College, Jagiellonian Univeristy, Krakow, Poland.
Hanna KelmDepartment of Public Management, University of Economics in Katowice, Katowice, Poland.ORCID 0000-0001-9868-8373
Karolina Szymaniec-MlickaDepartment of Public Management, University of Economics in Katowice, Katowice, Poland.ORCID 0000-0002-7500-4925

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hospital Based Health Technology Assessment (HB-HTA) is a new policy implemented in Poland to allow for a more practical and contextualized assessment related to the use of specific medical procedures, devices, or equipment. It requires changes in governance relating to the healthcare sector. One of the forms of governance improvement is to involve society in the process of creating public services. This can be implemented, e.g., by applying the pragmatic model of public responsiveness. The aim of this research was to identify and analyze forces which will shape a dynamic process in determining the implementation of HB-HTA. The results obtained in the Gioia analysis led to the identification of the main forces driving and restraining the implementation of HB-HTA. The grouping and interpretation allowed for the twelve most important dimensions to be distinguished, which were recognized as conceptual categories necessary to build theories that describe the studied phenomenon. This study contributes to the development of the idea of responsiveness in public management theory and in health care services, and ultimately helps to better enable the adjustment of health services to the dynamically changing needs of Polish society.

Indexed as

Health PolicyTechnology Assessment, BiomedicalDelivery of Health CareHumansPoland

Identifiers

PMID34559806
PMCPMC8462719

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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.