Identifying specific non-attending groups in breast cancer screening--population-based registry study of participation and socio-demography.

Identifying specific non-attending groups in breast cancer screening--population-based registry study of participation and socio-demography.
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DOI:
10.1186/1471-2407-12-518
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发表时间:
2012-11-14
期刊:
影响因子:
3.8
通讯作者:
Vedsted P
Vedsted P
中科院分区:
医学2区
文献类型:
--
作者:
Jensen LF;Pedersen AF;Andersen B;Vedsted P

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2008 - 2009年在丹麦中部地区实施了一项以人口为基础的乳腺癌筛查方案。这项以登记为基础的研究的目的是检查社会人口学特征与筛查参与之间的关系,并检查非参与者群体是否可以被视为同质的妇女群体。从区域数据库中获得了受邀参加2008-2009年丹麦中部地区第一轮筛查的所有妇女的参与状况(n=149,234)。参与数据与载有社会人口资料的登记册相联系。利用ArcGIS计算到筛选点的距离。参与者分为“参与者”和“非参与者”,而非参与者则进一步分为“主动不参与者”和“被动不参与者”,这是基于女性是否打电话取消了她的参与或“没有出现”。筛查参与率为78.9%。在多变量分析中,不参与与年龄较大、移民身份、经经合组织调整后的家庭收入低、教育程度高与教育程度低(与中等教育程度相比)、失业、未婚、距离筛查地点20公里、是租客和没有车辆有关。主动非参与者和被动非参与者由两个具有不同社会人口特征的不同群体组成,与主动非参与者相比,被动非参与者的社会剥夺程度更高。不参与与低社会地位有关,例如低收入、失业、没有车辆和作为租户的地位。非参与者也比参与者更有可能是年长、单身和非丹麦血统的人。与主动非参与者相比,被动非参与者的收入水平较低,受教育程度较低。可能需要采取不同的干预措施来增加两个非参与者群体的参与。
A population-based breast cancer screening programme was implemented in the Central Denmark Region in 2008–09. The objective of this registry-based study was to examine the association between socio-demographic characteristics and screening participation and to examine whether the group of non-participants can be regarded as a homogeneous group of women. Participation status was obtained from a regional database for all women invited to the first screening round in the Central Denmark Region in 2008–2009 (n=149,234). Participation data was linked to registries containing socio-demographic information. Distance to screening site was calculated using ArcGIS. Participation was divided into ‘participants’ and ‘non-participants’, and non-participants were further stratified into ‘active non-participants’ and ‘passive non-participants’ based on whether the woman called and cancelled her participation or was a ‘no-show’. The screening participation rate was 78.9%. In multivariate analyses, non-participation was associated with older age, immigrant status, low OECD-adjusted household income, high and low level education compared with middle level education, unemployment, being unmarried, distance to screening site >20 km, being a tenant and no access to a vehicle. Active and passive non-participants comprised two distinct groups with different socio-demographic characteristics, with passive non-participants being more socially deprived compared with active non-participants. Non-participation was associated with low social status e.g. low income, unemployment, no access to vehicle and status as tenant. Non-participants were also more likely than participants to be older, single, and of non-Danish origin. Compared to active non-participants, passive non-participants were characterized by e.g. lower income and lower educational level. Different interventions might be warranted to increase participation in the two non-participant groups.
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