Słowa kluczowe
real-world data
healthcare data quality
Kategorie
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Abstrakt
The fast proliferation of aesthetic medicine has increased the necessity of evidence-based assessment of treatment effects, but the lack of long-term clinical registries still does not provide access to stable real-world evidence. This paper discusses the issue of disjointed data infrastructures and its consequences in terms of research quality and patient outcomes. The main aim is to evaluate how the presence of clinical registries affects the patient outcomes in the field of aesthetic medicine and how real-world data and data quality mediate this effect. The methodology is premised on a panel econometric model, which relies on data in Ireland, the United Kingdom, Germany, and Poland between 2021 and 2025. The specification of a fixed effect is used to address the unobserved heterogeneity by country and time. The model considers such critical variables as registry availability, index of real-world data, patient-reported outcomes adoption, data quality and clinical experience.
Bibliografia
Ali, S.R.; Bryce, J.; Kodra, Y.; Taruscio, D.; Persani, L.; Ahmed, S.F. The Quality Evaluation of Rare Disease Registries—An Assessment of the Essential Features of a Disease Registry. Int. J. Environ. Res. Public Health 2021, 18, 11968. https://doi.org/10.3390/ijerph182211968
Dimic-Janjic, S.; Stjepanovic, M.; Belic, S.; Vukosavljevic, D.; Milivojevic, I.; Trboljevac, N.; Nikolic, N.; Stamenic, S.; Stojanovic, M.; Stosic, K.; et al. Clinical Characteristics and Survival of Patients with Idiopathic Pulmonary Fibrosis: Analysis of the Serbian Cohort from the EMPIRE Registry. Diagnostics 2025, 15, 2121. https://doi.org/10.3390/diagnostics15172121
European Commission. eHealth and Digital Health Data in the EU. 2024. Available online: https://health.ec.europa.eu/ehealth-digital-health-and-care_en (accessed on 11 April 2026).
Eurostat. Healthcare Statistics Database. 2025. Available online: https://ec.europa.eu/eurostat (accessed on 11 April 2026).
Gangemi, S.; Allegra, A.; Di Gioacchino, M.; Gammeri, L.; Cacciola, I.; Canonica, G.W. The Innovative Potential of Artificial Intelligence Applied to Patient Registries to Implement Clinical Guidelines. Mach. Learn. Knowl. Extr. 2026, 8, 38. https://doi.org/10.3390/make8020038
Halas, R.-G.; Berceanu Vaduva, D.M.; Radulescu, M.; Bredicean, A.-C.; Mateescu, D.-M.; Toma, A.-O.; Cotet, I.-G.; Guse, C.-E.; Marginean, A.; Margan, M.-M.; et al. Long COVID Prevalence and Risk Factors: A Systematic Review and Meta-Analysis of Prospective Cohort Studies. Biomedicines 2025, 13, 2859. https://doi.org/10.3390/biomedicines13122859
International Society of Aesthetic Plastic Surgery. ISAPS International Survey on Aesthetic/Cosmetic Procedures. 2024. Available online: https://www.isaps.org/discover/about-isaps/global-statistics
Johnson, L.; Shapiro, M.; Needell, D.; Stricker, R.B. Optimizing Exclusion Criteria for Clinical Trials of Persistent Lyme Disease Using Real-World Data. Healthcare 2025, 13, 20. https://doi.org/10.3390/healthcare13010020
Katalinic, A.; Hammas, K.; Taraszkiewicz, L.; Louwman, M.; Bartnicka, J.J.; Randi, G.; Bettio, M.; Stang, A.; Crocetti, E. A Narrative Review of European Registries for Skin Cancer: Where Are We and Where Should We Be? Cancers 2026, 18, 524. https://doi.org/10.3390/cancers18030524
Kaur, H.; Singh, K.J.; Sharma, S.; Das, M.; Albert, V.; Ojha, A.K.; Singh, G.; Hallur, V.; Savio, J.; Pamidimukkala, U.; et al. The Development of a Clinical Registry Digital Database on Invasive Fungal Infections in India: Advancing Epidemiological Understanding and Patient Care. J. Fungi 2024, 10, 42. https://doi.org/10.3390/jof10010042
Lee, M.; Kim, K.; Shin, Y.; Lee, Y.; Kim, T.-J. Advancements in Electronic Medical Records for Clinical Trials: Enhancing Data Management and Research Efficiency. Cancers 2025, 17, 1552. https://doi.org/10.3390/cancers17091552
Magnatta, A.; Verdelli, A.; Corti, V.; Sanna, L.; Magliulo, M.; Ruffo di Calabria, V.; Magnaterra, E.; Mariotti, E.B.; Landini, S.; Daher, R.; et al. Dercum Disease: Exploratory Therapeutic Approaches in the Absence of Standardized Medical Treatment—A Single Center Case Series. Life 2026, 16, 582. https://doi.org/10.3390/life16040582
Mazur, V.; Koldovskyi, A.; Ryabushka, L.; Yakubovska, N. The Formation of a Rational Model of Management of the Construction Company’s Capital Structure. Financial and Credit Activity: Problems of Theory and Practice 2023, 6, 128–144. https://doi.org/10.55643/fcaptp.6.53.2023.4223
National Health Service. NHS Digital Data and Statistics. 2024. Available online: https://digital.nhs.uk/data
Oishi, K.; Hamada, K.; Murata, Y.; Matsuda, K.; Ohata, S.; Yamaji, Y.; Asami-Noyama, M.; Edakuni, N.; Kakugawa, T.; Hirano, T.; et al. A Real-World Study of Achievement Rate and Predictive Factors of Clinical and Deep Remission to Biologics in Patients with Severe Asthma. J. Clin. Med. 2023, 12, 2900. https://doi.org/10.3390/jcm12082900
Organisation for Economic Co-operation and Development. OECD Health Statistics 2024. 2024. Available online: https://www.oecd.org/health/health-data.htm
Pannonhalmi, Á.; Sipos, B.; Kurucz, R.I.; Katona, G.; Kemény, L.; Csóka, I. Advancing Regulatory Oversight of Medical Device Trials to Align with Clinical Drug Standards in the European Union. Pharmaceuticals 2025, 18, 876. https://doi.org/10.3390/ph18060876
Prokopenko, O.; Chechel, A.; Koldovskiy, A.; Kldiashvili, M. Innovative Models of Green Entrepreneurship: Social Impact on Sustainable Development of Local Economies. Economics Ecology Socium 2024, 8, 89–111. https://doi.org/10.61954/2616-7107/2024.8.1-8
Sarshayev, M.; Turdaliyeva, B.; Tanbayeva, G.; Makhanbetkhan, S.; Mussabekov, M.; Davletov, D.; Maidan, A.; Berdikhojayev, M. Demographic Characteristics and Treatment Outcomes of Intracranial Atherosclerosis Stenting: A Retrospective Case-Series of 216 Consecutive Patients. J. Clin. Med. 2025, 14, 125. https://doi.org/10.3390/jcm14010125
Sikhayeva, N.; Kovzel, E.; Volodchenko, S.; Toleuzhanova, A.; Tortayeva, G.; Bukibayeva, G.; Zhussupbayeva, Z.; Morenko, M. Registry-Based Frequency and Clinical Characteristics of Inborn Errors of Immunity in Kazakhstan: A Retrospective Observational Cohort Study (2009–2023). J. Clin. Med. 2025, 14, 5353. https://doi.org/10.3390/jcm14155353
Socea, B.; Silaghi, A.; Rebegea, L.F.; Balan, D.G.; Balalau, C.; Tenea-Cojan, T.Ș.; Mihai, D.A.; Paunica, I. Diabetes Mellitus: Interdisciplinary Medical, Surgical and Psychological Therapeutic Approach. J. Mind Med. Sci. 2023, 10, 217-236. https://doi.org/10.22543/2392-7674.1445
Tawanwongsri, W.; Eden, C. Management and Clinical Outcomes of Scleredema Diabeticorum: A Scoping Review. Diseases 2025, 13, 346. https://doi.org/10.3390/diseases13100346
Tran, V.; Barrington, G.; Page, S. Emergency Department Clinical Quality Registries: A Scoping Review. Healthcare 2025, 13, 1022. https://doi.org/10.3390/healthcare13091022
Vieira, D.; Duarte, J.; Vieira, P.; Gonçalves, M.B.S.; Figueiras, A.; Lohani, A.; Veiga, F.; Mascarenhas-Melo, F. Regulation and Safety of Cosmetics: Pre- and Post-Market Considerations for Adverse Events and Environmental Impacts. Cosmetics 2024, 11, 184. https://doi.org/10.3390/cosmetics11060184
Wani, F.; AlMutyif, S.; Bandy, A.; Thirunavukkarasu, A.; Alzarea, E.; Alsurur, M.; Alomair, B. Diabetic Complication Profiles and Associated Risk Factors: A Comprehensive Analysis from Two Public Hospitals in the Najran Region, Southern Saudi Arabia. Medicina 2025, 61, 1871. https://doi.org/10.3390/medicina61101871
World Bank. World Development Indicators. 2025. Available online: https://data.worldbank.org
World Health Organization. Global Health Observatory Data Repository. 2024. Available online: https://www.who.int/data/gho
Utwór dostępny jest na licencji Creative Commons Uznanie autorstwa – Użycie niekomercyjne 4.0 Międzynarodowe.
Prawa autorskie (c) 2026 Maryna Spivak