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Relative bias in health estimates from probability-based online panels : systematic review and meta-analysis
ID Ivanovska, Andrea (Avtor), ID Bošnjak, Michael (Avtor), ID Vehovar, Vasja (Avtor)

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Izvleček
Introduction: Health surveys require the highest data quality, especially when they inform public health policies. With recent technological developments, probability-based online panels (PBOPs) are becoming an attractive cost-effective alternative to traditional surveys. They are also beginning to be used for official health statistics. However, PBOPs still face concerns about bias, especially for health-related estimates. Method: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) approach, we conducted a systematic review and meta-analysis of PBOP PBOP health survey data quality, with relative bias (RB) of the estimates as the effect size. We analysed 137 health-related survey items from 14 studies and used a linear regression model to examine factors that moderate RB. Results: The RB varied considerably across the subjects, and its overall median was 12.7%. The highest RBs were exhibited by disabilities (23.6%), mental illnesses (23.2%), personal mental health conditions (20.8%) and drug use (20.7%), and the lowest, by doctor’s treatment (2.24%). The measurement levels with ordinal scales (25.8%) showed higher RB, and certain country effects were also observed. Conclusion: This moderate bias of the health estimates raises concerns about the accuracy of PBOP estimates regarding sensitive health topics. Therefore, PBOP should be used cautiously for official health statistics; and when designing PBOP surveys for health subjects, the item and study characteristics should be included as methodological considerations.

Jezik:Angleški jezik
Ključne besede:probability-based online panels, data quality, relative bias, meta-analysis
Vrsta gradiva:Članek v reviji
Tipologija:1.02 - Pregledni znanstveni članek
Organizacija:FDV - Fakulteta za družbene vede
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2025
Št. strani:Str. 10-23
Številčenje:Vol. 4, no. 1
PID:20.500.12556/RUL-178043 Povezava se odpre v novem oknu
UDK:303
ISSN pri članku:2820-5480
DOI:10.33700/jhrs.4.1.137 Povezava se odpre v novem oknu
COBISS.SI-ID:242502147 Povezava se odpre v novem oknu
Datum objave v RUL:16.01.2026
Število ogledov:59
Število prenosov:11
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Journal of health and rehabilitation sciences
Založnik:Alma Mater Europaea - ECM
ISSN:2820-5480
COBISS.SI-ID:128798979 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:spletni paneli na podlagi verjetnosti, kakovost podatkov, relativna pristranskost, metaanaliza

Projekti

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P5-0399
Naslov:Internetno raziskovanje

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:J5-3100
Naslov:Ovrednotenje verjetnostnih in neverjetnostnih spletnih panelov

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:J5-50159
Naslov:Ocenjevanje in modeliranje pristranskosti zaradi neodgovorov v verjetnostnih spletnih anketah

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