OBJECTIVE: In the first STROKESTOP atrial fibrillation screening study, participation was influenced by socio-demographic and geographic factors. To improve uptake in the second study, two screening sites were added, closer to low-income neighbourhoods which had very low participation in the first study. This paper aims to analyse the geographic and socio-demographic disparities in uptake in the second trial and compare the results with the first trial. METHODS: Inhabitants of the Stockholm region born in 1940 and 1941 were randomised 1:1 to be invited to screening or serve as controls. Medical history, blood samples and single-lead-ECG were collected. Invitee's residential parish was used for geo-mapping analysis of the geographical disparities in participation, using hierarchical Bayes methods. Individual data for participants and non-participants were obtained for the socioeconomic variables: educational level, disposable income, immigrant and marital status. RESULTS: Higher participation was observed in those with higher education, high income, among non-immigrants and married individuals. Participation between the first and second studies improved significantly, where additional screening sites were introduced. These improvements were generally significant, in each population group according to socio-demographic characteristics. CONCLUSION: Decentralisation of screening sites in an atrial fibrillation screening program yielded a significantly positive impact on screening uptake. Adding local screening sites in areas with low uptake had beneficial impact on participation across a wide spectrum of socio-demographic groups. Decentralised screening substantially increased the screening uptake in deprived areas.
OBJECTIVE: In the first STROKESTOP atrial fibrillation screening study, participation was influenced by socio-demographic and geographic factors. To improve uptake in the second study, two screening sites were added, closer to low-income neighbourhoods which had very low participation in the first study. This paper aims to analyse the geographic and socio-demographic disparities in uptake in the second trial and compare the results with the first trial. METHODS: Inhabitants of the Stockholm region born in 1940 and 1941 were randomised 1:1 to be invited to screening or serve as controls. Medical history, blood samples and single-lead-ECG were collected. Invitee's residential parish was used for geo-mapping analysis of the geographical disparities in participation, using hierarchical Bayes methods. Individual data for participants and non-participants were obtained for the socioeconomic variables: educational level, disposable income, immigrant and marital status. RESULTS: Higher participation was observed in those with higher education, high income, among non-immigrants and married individuals. Participation between the first and second studies improved significantly, where additional screening sites were introduced. These improvements were generally significant, in each population group according to socio-demographic characteristics. CONCLUSION: Decentralisation of screening sites in an atrial fibrillation screening program yielded a significantly positive impact on screening uptake. Adding local screening sites in areas with low uptake had beneficial impact on participation across a wide spectrum of socio-demographic groups. Decentralised screening substantially increased the screening uptake in deprived areas.
Authors: Ben Freedman; John Camm; Hugh Calkins; Jeffrey S Healey; Mårten Rosenqvist; Jiguang Wang; Christine M Albert; Craig S Anderson; Sotiris Antoniou; Emelia J Benjamin; Giuseppe Boriani; Johannes Brachmann; Axel Brandes; Tze-Fan Chao; David Conen; Johan Engdahl; Laurent Fauchier; David A Fitzmaurice; Leif Friberg; Bernard J Gersh; David J Gladstone; Taya V Glotzer; Kylie Gwynne; Graeme J Hankey; Joseph Harbison; Graham S Hillis; Mellanie T Hills; Hooman Kamel; Paulus Kirchhof; Peter R Kowey; Derk Krieger; Vivian W Y Lee; Lars-Åke Levin; Gregory Y H Lip; Trudie Lobban; Nicole Lowres; Georges H Mairesse; Carlos Martinez; Lis Neubeck; Jessica Orchard; Jonathan P Piccini; Katrina Poppe; Tatjana S Potpara; Helmut Puererfellner; Michiel Rienstra; Roopinder K Sandhu; Renate B Schnabel; Chung-Wah Siu; Steven Steinhubl; Jesper H Svendsen; Emma Svennberg; Sakis Themistoclakis; Robert G Tieleman; Mintu P Turakhia; Arnljot Tveit; Steven B Uittenbogaart; Isabelle C Van Gelder; Atul Verma; Rolf Wachter; Bryan P Yan Journal: Circulation Date: 2017-05-09 Impact factor: 29.690
Authors: Bouwe P Krijthe; Anton Kunst; Emelia J Benjamin; Gregory Y H Lip; Oscar H Franco; Albert Hofman; Jacqueline C M Witteman; Bruno H Stricker; Jan Heeringa Journal: Eur Heart J Date: 2013-07-30 Impact factor: 29.983
Authors: Steven A Lubitz; Xiaoyan Yin; David D McManus; Lu-Chen Weng; Hugo J Aparicio; Allan J Walkey; Jose Rafael Romero; Carlos S Kase; Patrick T Ellinor; Philip A Wolf; Sudha Seshadri; Emelia J Benjamin Journal: Stroke Date: 2017-01-12 Impact factor: 7.914
Authors: Marie Dahl; Susanne Friis Søndergaard; Axel Diederichsen; Frans Pouwer; Susanne S Pedersen; Jens Søndergaard; Jes Lindholt Journal: BMC Public Health Date: 2021-01-22 Impact factor: 3.295
Authors: U Strömberg; C Bonander; M Westerberg; L Å Levin; C Metcalfe; R Steele; L Holmberg; A Forsberg; R Hultcrantz Journal: EClinicalMedicine Date: 2022-04-16