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Peer-reviewedCC BYClinics and practice

Integrating Real-World Evidence, Patient-Reported Outcomes and Health Economics into Evidence-Based Public Health-A Narrative Review and Conceptual Framework.

4 affiliations
  1. 1School of Public Health, Center of Postgraduate Medical Education, 01-813 Warsaw, Poland.
  2. 2Centre of Postgraduate Medical Education, Prof. W. Orłowski Memorial Hospital, 00-416 Warsaw, Poland.
  3. 3Department of Competition Strategy, Collegium of Business Administration, Warsaw School of Economics, 02-554 Warsaw, Poland.
  4. 4Central Clinical Hospital, Medical University of Warsaw, 01-813 Warsaw, Poland.

Abstract

Contemporary healthcare systems operate in an environment characterized by the rapid development of digital technologies and the growing availability of health data. While these developments may increase the complexity of health policy decision-making, they also create new opportunities to support this process. In addition to clinical trial findings, RWD/RWE, PROMs, and PREMs, as well as analyses in the fields of health economics, HTA, and VBHC, are becoming increasingly important. The aim of this article is to present the current state of knowledge on the integration of these data and evidence sources within the EBPH approach and to discuss their relevance to the planning, implementation, and evaluation of health interventions. Based on a review of the literature, we propose an original conceptual model for health policy decision-making-the Integrated Evidence-Based Public Health Framework, which integrates epidemiological data, RWE, patient-reported information, and economic analyses within a single decision-support framework. The proposed model is consistent with the LHS concept and may provide a useful tool for supporting rational health policy planning and assessing the value of health interventions.

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BibTeX
@article{borowska2026integrating,
  title = {{Integrating Real-World Evidence, Patient-Reported Outcomes and Health Economics into Evidence-Based Public Health-A Narrative Review and Conceptual Framework.}},
  author = {Mariola Borowska and Piotr Bromber and Tomasz Kopiec and Magdalena Malinowska-Stelmachowska and Wojciech Miazga and Teresa Pakulska and Sylwia Jędrzejczyk-Kowalska and Urszula Religioni},
  journal = {Clinics and practice},
  year = {2026},
  month = oct,
  doi = {10.3390/clinpract16100190},
  url = {https://europepmc.org/article/MED/42930376},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Integrating Real-World Evidence, Patient-Reported Outcomes and Health Economics into Evidence-Based Public Health-A Narrative Review and Conceptual Framework.
AU  - Mariola Borowska
AU  - Piotr Bromber
AU  - Tomasz Kopiec
AU  - Magdalena Malinowska-Stelmachowska
AU  - Wojciech Miazga
AU  - Teresa Pakulska
AU  - Sylwia Jędrzejczyk-Kowalska
AU  - Urszula Religioni
PY  - 2026
DA  - 2026/10/13
JO  - Clinics and practice
DO  - 10.3390/clinpract16100190
UR  - https://europepmc.org/article/MED/42930376
AB  - Contemporary healthcare systems operate in an environment characterized by the rapid development of digital technologies and the growing availability of health data. While these developments may increase the complexity of health policy decision-making, they also create new opportunities to support this process. In addition to clinical trial findings, RWD/RWE, PROMs, and PREMs, as well as analyses in the fields of health economics, HTA, and VBHC, are becoming increasingly important. The aim of this article is to present the current state of knowledge on the integration of these data and evidence sources within the EBPH approach and to discuss their relevance to the planning, implementation, and evaluation of health interventions. Based on a review of the literature, we propose an original conceptual model for health policy decision-making-the Integrated Evidence-Based Public Health Framework, which integrates epidemiological data, RWE, patient-reported information, and economic analyses within a single decision-support framework. The proposed model is consistent with the LHS concept and may provide a useful tool for supporting rational health policy planning and assessing the value of health interventions.
SN  - 2039-7275
SN  - 2039-7283
ER  -