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IRIS
Abstract: Objective: While gambling is a growing public health concern, research resources are limited, and no guidance is available to prioritise research. This study aimed to identify priorities for gambling research on a global scale using a systematic, transparent, and democratic methodology to inform researchers and other stakeholders. Methods: Leading gambling researchers were invited to list gambling-related research questions that can contribute to strengthening evidence-based policy, prevention, and effective early intervention and treatment of problem gambling. Suggestions were consolidated into research options and evaluated against six criteria (Answerability, Feasibility, Effectiveness, Impact on equity and an additional two based on the category of research options: Novelty and Relevance for description-type, Potential for burden reduction and Deliverability for intervention-related options). Stakeholders (n = 14) assigned relative weights to each criterion, and options were ranked according to their weighted research priority scores. Results: With input from 46.9% of eligible researchers (n = 307) from 35 countries, 1,361 questions were consolidated into 102 options. Evaluations showed strong agreement between experts, and the top 25 priorities were identified. The results highlight the need for further knowledge about the epidemiology, etiology, and consequences of problem gambling. Top-priority topics indicate the importance of focusing on vulnerable and minority groups, youth, significant others, technological innovations, advertisements, the convergence of gaming and gambling, and co-occurring conditions. Evaluating and tailoring existing measures were prioritised more highly than new interventions, and identifying factors underlying treatment seeking, drop-out and relapse was also considered a priority. Conclusions: This initiative successfully involved the global research community in identifying gambling research priorities. The results provide information for researchers and other stakeholders for future projects and funding.
Research priorities in gambling: Findings of a large-scale expert study
Czako A.;Potenza M. N.;Hodgins D. C.;Yu S. M.;Wu A. M. S.;Jimenez-Murcia S.;Bowden-Jones H.;Billieux J. E.;King D.;Bothe B.;Stein D. J.;Demetrovics Z.;Abarbanel B.;Albertella L.;Alexandre J. -M.;Allami Y.;Aloi M.;Angioletti L.;Anthony W. L.;Aragay N.;Aslund C.;Auriacombe M.;Awo L. O.;Baggio S.;Baigent M. F.;Balodis I. M.;Barrault S.;Bartczuk R. P.;Battersby M.;Bellringer M. E.;Berman A. H.;Bernaldo-De-Quiros M.;Bhad R.;Blaszczynski A.;Boffo M.;Bonnaire C.;Bortolato M.;Bouchard S.;Bouchard A. E.;Brand M.;Breen H.;Brosowski T. B.;Browne M.;Buchanan T. W.;Buchner U. G.;Buhringer G.;Buja A.;Canale N.;Carbonneau R.;Castren S.;Catania M.;Challet-Bouju G.;Chapman H. A.;Chauchard E.;Honglei Chen J.;Choi S.;Choi J. -S.;Choliz M.;Christensen D. R.;Cisneros Ornberg J.;Clark L.;Cogliati Dezza I.;Columb D.;Corbeil O.;Cornil A.;Dannon P.;Davis C. N.;Delfabbro P.;Derevensky J. L.;Devos G.;Dixon M. J.;Donati M. A.;Dowling N. A.;Dufour M.;Dymond S.;Echeburua E.;Egloff B.;Ellis J. D.;Elton-Marshall T.;Estevez A.;Etuk R.;Fecteau S.;Fernandez-Aranda F.;Fineberg N. A.;Fischer G.;Flack M.;Forsstrom D.;Fortgang R. G.;Franken I. H. A.;Frisone F.;Fuss J.;Gainsbury S. M.;Gavriel-Fried B.;Giannini A. M.;Garcia M. G.;Gonzalez-Cabrera J.;Goodie A. S.;Gori A.;Goudriaan A. E.;Grall-Bronnec M.;Granero R.;Griffiths M. D.;Grubbs J. B.;Hahmann T.;Hakansson A.;Hall B. J.;Hamari J.;Hao W.;Hayer T.;Heirene R. M.;Hing N.;Hopfgartner N.;Hynes T. J.;James R. J. E.;Jauregui P.;Jeannot E.;Kayser A. S.;Khazaal Y.;Kim H. S.;King S.;Kobara K.;Kolandai K.;Kourgiantakis T.;Kovacs I.;Kraus S. W.;Kraus L.;Kristiansen S.;Kuss D. J.;Landon J.;LaPlante D. A.;Foll B. L.;Ledgerwood D. M.;Lee B. K.;Lelonek-Kuleta B.;Li E.;Lind K.;Lindner P.;Linnet J.;Lischer S.;Lloyd J.;Lloyd H. M.;Lochner C.;Lopez-Gonzalez H.;Lorenzetti V.;Louderback E. R.;Loy J. K.;Luquiens A.;Macey J.;Machimbarrena J. M.;Guerrero L. M.;Mallorqui-Bague N.;Mansson V.;Marchica L. A.;Mari E.;Marmet S.;Martinotti G.;Matheson F. I.;Matsushita S.;McDonald A. J.;Mcgrath D. S.;Menchon J.;Merkouris S. S.;Mestre-Bach G.;Mills D. J.;Moccia L.;Molander O.;Molinaro S.;Morgado P.;Motka F.;Mravcik V.;Munguia L.;Murch W. S.;Navas J. F.;Nelson S. E.;Nicklin L. L.;Nigro G.;Nilsson A.;Noel X.;Nower L.;O'Gara C.;Oakes J. E.;Pace U.;Pallanti S.;Pallesen S.;Parmar A.;Parke J.;Parrado-Gonzalez A.;Passanisi A.;Pavarin R. M.;Perales J. C.;Peters J.;Pfund R. A.;Philander K. S.;Prever F.;Quaglieri A.;Rafi J.;Rash C. J.;Rawat V.;Richard J.;Ricijas N.;Roberts A.;Rodda S. N.;Rogers J.;Rogier G.;Rolando S.;Romanczuk-Seiferth N.;Ross D.;Rumpf H. -J.;Russell G. E. H.;Russell A. M. T.;Sacco P.;Sagoe D.;Salonen A. H.;Samuelsson E.;Sanders J. L.;Saunders J. B.;Schaub M. P.;Schiavella M.;Schimmenti A.;Schmidt C.;Sescousse G.;Sevigny S.;Shaffer H. J.;Sharman S.;Shi J.;Shirk S. D.;Sideli L.;Simon O.;Sleczka P.;So R.;Stevens R. M. G.;Steward T.;Subramaniam M.;Swanton T. B.;Syvertsen A.;Tabri N.;Takahashi H.;Tamburin S.;Tang S. K. C.;Theriault E. R.;Thomas S. A.;Thomsen K. R.;Tomei A.;Tong K. K.;Trujols J.;Tse S.;Tsurumi K.;Tulloch C.;Tunney R.;Valenciano-Mendoza E.;van der Maas M.;Van Eimeren T.;Van Gordon W.;Van Holst R. J.;Timmeren T. V.;Velotti P.;Vintro-Alcaraz C.;Volberg R.;von Ranson K. M.;Weidacker K.;Whelan J. P.;Whiting S.;Wieczorek L.;Williams R.;Winters K. C.;Wohl M. J. A.;Worhunsky P. D.;Xiao L. Y.;Yokomitsu K.;Yucel M.;Zack M. H.;Zhang M. X.;Zink A.;Zoratto F.
2025-01-01
Abstract
Abstract: Objective: While gambling is a growing public health concern, research resources are limited, and no guidance is available to prioritise research. This study aimed to identify priorities for gambling research on a global scale using a systematic, transparent, and democratic methodology to inform researchers and other stakeholders. Methods: Leading gambling researchers were invited to list gambling-related research questions that can contribute to strengthening evidence-based policy, prevention, and effective early intervention and treatment of problem gambling. Suggestions were consolidated into research options and evaluated against six criteria (Answerability, Feasibility, Effectiveness, Impact on equity and an additional two based on the category of research options: Novelty and Relevance for description-type, Potential for burden reduction and Deliverability for intervention-related options). Stakeholders (n = 14) assigned relative weights to each criterion, and options were ranked according to their weighted research priority scores. Results: With input from 46.9% of eligible researchers (n = 307) from 35 countries, 1,361 questions were consolidated into 102 options. Evaluations showed strong agreement between experts, and the top 25 priorities were identified. The results highlight the need for further knowledge about the epidemiology, etiology, and consequences of problem gambling. Top-priority topics indicate the importance of focusing on vulnerable and minority groups, youth, significant others, technological innovations, advertisements, the convergence of gaming and gambling, and co-occurring conditions. Evaluating and tailoring existing measures were prioritised more highly than new interventions, and identifying factors underlying treatment seeking, drop-out and relapse was also considered a priority. Conclusions: This initiative successfully involved the global research community in identifying gambling research priorities. The results provide information for researchers and other stakeholders for future projects and funding.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11570/3347076
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.