Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales
Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, w...
Ausführliche Beschreibung
Autor*in: |
Birch, Stephen [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
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2007 |
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Anmerkung: |
© Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( |
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Übergeordnetes Werk: |
Enthalten in: Australia and New Zealand Health Policy - London : BioMed Central, 2004, 4(2007), 1 vom: 05. Juni |
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Übergeordnetes Werk: |
volume:4 ; year:2007 ; number:1 ; day:05 ; month:06 |
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DOI / URN: |
10.1186/1743-8462-4-12 |
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Katalog-ID: |
SPR029294452 |
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520 | |a Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. | ||
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10.1186/1743-8462-4-12 doi (DE-627)SPR029294452 (SPR)1743-8462-4-12-e DE-627 ger DE-627 rakwb eng Birch, Stephen verfasserin aut Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. Opportunity Cost (dpeaa)DE-He213 Marginal Effect (dpeaa)DE-He213 Breast Screening (dpeaa)DE-He213 Screen Mammogram (dpeaa)DE-He213 Mammography Utilisation (dpeaa)DE-He213 Haas, Marion aut Savage, Elizabeth aut Van Gool, Kees aut Enthalten in Australia and New Zealand Health Policy London : BioMed Central, 2004 4(2007), 1 vom: 05. Juni (DE-627)473203669 (DE-600)2168956-8 1743-8462 nnns volume:4 year:2007 number:1 day:05 month:06 https://dx.doi.org/10.1186/1743-8462-4-12 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2007 1 05 06 |
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10.1186/1743-8462-4-12 doi (DE-627)SPR029294452 (SPR)1743-8462-4-12-e DE-627 ger DE-627 rakwb eng Birch, Stephen verfasserin aut Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. Opportunity Cost (dpeaa)DE-He213 Marginal Effect (dpeaa)DE-He213 Breast Screening (dpeaa)DE-He213 Screen Mammogram (dpeaa)DE-He213 Mammography Utilisation (dpeaa)DE-He213 Haas, Marion aut Savage, Elizabeth aut Van Gool, Kees aut Enthalten in Australia and New Zealand Health Policy London : BioMed Central, 2004 4(2007), 1 vom: 05. Juni (DE-627)473203669 (DE-600)2168956-8 1743-8462 nnns volume:4 year:2007 number:1 day:05 month:06 https://dx.doi.org/10.1186/1743-8462-4-12 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2007 1 05 06 |
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10.1186/1743-8462-4-12 doi (DE-627)SPR029294452 (SPR)1743-8462-4-12-e DE-627 ger DE-627 rakwb eng Birch, Stephen verfasserin aut Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. Opportunity Cost (dpeaa)DE-He213 Marginal Effect (dpeaa)DE-He213 Breast Screening (dpeaa)DE-He213 Screen Mammogram (dpeaa)DE-He213 Mammography Utilisation (dpeaa)DE-He213 Haas, Marion aut Savage, Elizabeth aut Van Gool, Kees aut Enthalten in Australia and New Zealand Health Policy London : BioMed Central, 2004 4(2007), 1 vom: 05. Juni (DE-627)473203669 (DE-600)2168956-8 1743-8462 nnns volume:4 year:2007 number:1 day:05 month:06 https://dx.doi.org/10.1186/1743-8462-4-12 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2007 1 05 06 |
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10.1186/1743-8462-4-12 doi (DE-627)SPR029294452 (SPR)1743-8462-4-12-e DE-627 ger DE-627 rakwb eng Birch, Stephen verfasserin aut Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. Opportunity Cost (dpeaa)DE-He213 Marginal Effect (dpeaa)DE-He213 Breast Screening (dpeaa)DE-He213 Screen Mammogram (dpeaa)DE-He213 Mammography Utilisation (dpeaa)DE-He213 Haas, Marion aut Savage, Elizabeth aut Van Gool, Kees aut Enthalten in Australia and New Zealand Health Policy London : BioMed Central, 2004 4(2007), 1 vom: 05. Juni (DE-627)473203669 (DE-600)2168956-8 1743-8462 nnns volume:4 year:2007 number:1 day:05 month:06 https://dx.doi.org/10.1186/1743-8462-4-12 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2007 1 05 06 |
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10.1186/1743-8462-4-12 doi (DE-627)SPR029294452 (SPR)1743-8462-4-12-e DE-627 ger DE-627 rakwb eng Birch, Stephen verfasserin aut Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. Opportunity Cost (dpeaa)DE-He213 Marginal Effect (dpeaa)DE-He213 Breast Screening (dpeaa)DE-He213 Screen Mammogram (dpeaa)DE-He213 Mammography Utilisation (dpeaa)DE-He213 Haas, Marion aut Savage, Elizabeth aut Van Gool, Kees aut Enthalten in Australia and New Zealand Health Policy London : BioMed Central, 2004 4(2007), 1 vom: 05. Juni (DE-627)473203669 (DE-600)2168956-8 1743-8462 nnns volume:4 year:2007 number:1 day:05 month:06 https://dx.doi.org/10.1186/1743-8462-4-12 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 4 2007 1 05 06 |
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Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales Opportunity Cost (dpeaa)DE-He213 Marginal Effect (dpeaa)DE-He213 Breast Screening (dpeaa)DE-He213 Screen Mammogram (dpeaa)DE-He213 Mammography Utilisation (dpeaa)DE-He213 |
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targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in new south wales |
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Targeting services to reduce social inequalities in utilisation: an analysis of breast cancer screening in New South Wales |
abstract |
Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( |
abstractGer |
Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( |
abstract_unstemmed |
Background Many jurisdictions have used public funding of health care to reduce or remove price at the point of delivery of services. Whilst this reduces an important barrier to accessing care, it does nothing to discriminate between groups considered to have greater or fewer needs. In this paper, we consider whether active targeted recruitment, in addition to offering a 'free' service, is associated with a reduction in social inequalities in self-reported utilization of the breast screening services in NSW, Australia. Methods Using the 1997 and 1998 NSW Health Surveys we estimated probit models on the probability of having had a screening mammogram in the last two years for all women aged 40–79. The models examined the relative importance of socio-economic and geographic factors in predicting screening behaviour in three different needs groups – where needs were defined on the basis of a woman's age. Results We find that women in higher socio-economic groups are more likely to have been screened than those in lower groups for all age groups. However, the socio-economic effect is significantly less among women who were in the actively targeted age group. Conclusion This indicates that recruitment and follow-up was associated with a modest reduction in social inequalities in utilisation although significant income differences remain. © Birch et al; licensee BioMed Central Ltd. 2007. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( |
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score |
7.4017725 |