Does the Neighborhood Area of Residence Influence Non-Attendance in an Urban Mammography Screening Program? A Multilevel Study in a Swedish City

Factors affecting women's participation in mammography screening in Nordic countries: A systematic review

INTRODUCTION

Mammography screening programs have been implemented in European countries as prevention tools aimed at reducing breast cancer mortality through early detection in asymptomatic women. Nordic countries (Denmark, Finland, Iceland, Norway, Sweden, the Faroe Islands, and Greenland) demonstrated high participation rates; however, breast cancer mortality could be limited by further optimizing screening. This review aimed to explore factors that affect women's participation in mammography screening in Nordic countries.

METHOD

A systematic review of segregated mixed research synthesis using a deductive approach was conducted. The following databases and platforms were searched to identify relevant studies: CINAHL with Full Text (EBSCOHost), MEDLINE (EBSCOHost), PsycInfo (ProQuest), Scopus (Elsevier) and Web of Science Core Collection (SCI-EXPANDED, SSCI, A&HCI, CPCI-S, CPCI-SSH, and ESCI). The Critical Appraisal Skills Program was used for quality assessment. The Health Promotion Model was applied to integrate findings from qualitative and qualitative research. All methodological steps followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.

RESULTS

The final selection (16 articles) included studies from three Nordic countries: Denmark (four quantitative studies), Norway (one qualitative and four quantitative studies), and Sweden (three qualitative and seven quantitative studies). Sixty-three factors were identified as barriers, facilitators, or factors with no influence.

CONCLUSION

A substantial number of obtained factors, spread across a wide spectrum, describe (non-)participation in mammography screening as a versatile phenomenon.

IMPLICATIONS FOR PRACTICE

The findings of this review could benefit the mammography staff and providers regarding possible interventions aimed at improving screening participation rates.

Factors influencing participation in breast cancer screening in an urban setting. A study of organized and individual opportunistic screening among potentially active and retired women in the city of Nice

Participation in breast cancer screening in urban settings is poor. Identifying factors accounting for participation and non-participation is essential to target priority areas, tackle health inequalities and suggest innovative approaches. We studied organized and individual opportunistic participation in breast cancer screening within the 144 aggregated units for statistical information (Ilôts regroupés pour l'information statistique: IRIS) of the city of Nice from 2019 to 2021. In each IRIS was assessed a local human development index, among potentially active women aged 50 to 59 years and retired women aged 60 to 74 years. Modelling participation and non-participation in screening according to the IRIS units' socio-economical characteristics was performed using the SURE method (Seemingly Unrelated Regression Equations). Over a 2-year period, 24,396 breast screening tests were conducted (11,173 as organised screening, 13,223 as individual opportunistic screening). The local human development index was positively correlated with the two types of screening, respectively. Access to public transport facilitated participation. Managerial status was negatively correlated with organised screening. Single working women had a higher risk of non-participation. With regard to their socio-economic characteristics, screening rates were lower than expected in 16 IRIS units in the city of Nice. Local human development index, access to public transport, family and professional context appear to be associated with breast cancer screening in an urban setting. An innovative approach targeting these factors is called for to reduce health inequalities.

Associations between breast cancer screening participation and residential area sociodemographic features, geographic accessibility, and features of screening venue location in Greater Sydney, Australia

Breast cancer screening (BCS) participation rates are often suboptimal and vary geographically. Environmental features may influence BCS participation, but few studies have assessed this relationship. This study assessed the associations between BCS participation, residential area sociodemographic characteristics, distance to BCS venue, and venue location attributes. Data for 384,433 women residing in Greater Sydney, Australia, invited to BCS during 2011-2014 were spatially joined to their state suburb (SSC) (n = 800). SSC sociodemographic measures included women's median age, proportion women speaking English at home, full-time employed, and university educated; and proportion dwellings with motor-vehicles. Road network distance was calculated to each BCS venue. BCS venues were coded as co-located with bus-stop, train-station, hospital, general practitioner (GP), and shop. Hot spots were calculated to quantify spatial clustering of BCS participation. Multilevel logistic models were used to estimate the associations between environmental predictors and BCS participation, accounting for SSC-level clustering. BCS participation was 53.9% and spatially clustered. BCS was positively associated with SSC-level median age for women, proportions women speaking English and university educated, and dwellings with motor-vehicles. Distance to venue was inversely associated with BCS. Venue co-location with GP was positively associated and co-location with bus-stop, train-station, and shop, hospital were negatively associated with BCS. Residential sociodemographic features, geographic access, and venue location attributes are associated with BCS participation. These findings implicate the relevance of social and built environmental factors to programmatic aims to raise BCS participation. Additional research on venue location features is required to understand where best to site BCS venues.

Factors associated with attendance at screening for breast cancer: a systematic review and meta-analysis

OBJECTIVE

Attendance at population-based breast cancer (mammographic) screening varies. This comprehensive systematic review and meta-analysis assesses all identified patient-level factors associated with routine population breast screening attendance.

DESIGN

CINAHL, Cochrane Library, Embase, Medline, OVID, PsycINFO and Web of Science were searched for studies of any design, published January 1987-June 2019, and reporting attendance in relation to at least one patient-level factor.

DATA SYNTHESIS

Independent reviewers performed screening, data extraction and quality appraisal. OR and 95% CIs were calculated for attendance for each factor and random-effects meta-analysis was undertaken where possible.

RESULTS

Of 19 776 studies, 335 were assessed at full text and 66 studies (n=22 150 922) were included. Risk of bias was generally low. In meta-analysis, increased attendance was associated with higher socioeconomic status (SES) (n=11 studies; OR 1.45, 95% CI: 1.20 to 1.75); higher income (n=5 studies; OR 1.96, 95% CI: 1.68 to 2.29); home ownership (n=3 studies; OR 2.16, 95% CI: 2.08 to 2.23); being non-immigrant (n=7 studies; OR 2.23, 95% CI: 2.00 to 2.48); being married/cohabiting (n=7 studies; OR 1.86, 95% CI: 1.58 to 2.19) and medium (vs low) level of education (n=6 studies; OR 1.24, 95% CI: 1.09 to 1.41). Women with previous false-positive results were less likely to reattend (n=6 studies; OR 0.77, 95% CI: 0.68 to 0.88). There were no differences by age group or by rural versus urban residence.

CONCLUSIONS

Attendance was lower in women with lower SES, those who were immigrants, non-homeowners and those with previous false-positive results. Variations in service delivery, screening programmes and study populations may influence findings. Our findings are of univariable associations. Underlying causes of lower uptake such as practical, physical, psychological or financial barriers should be investigated.

TRIAL REGISTRATION NUMBER

CRD42016051597.

Change in mammography screening attendance after removing the out-of-pocket fee: a population-based study in Sweden (2014-2018)

Purpose

To assess the change in mammography screening attendance in Sweden—overall and in sociodemographic groups at risk of low attendance—after removal of the out-of-pocket fee in 2016.

Methods

Individual-level data on all screening invitations and attendance between 2014 and 2018 were linked to sociodemographic data from Statistics Sweden. Odds ratios and 95% confidence intervals (CIs) for attendance by time period and sociodemographic factor were computed using mixed logistic regression to account for repeated measures within women. The study sample included 1.4 million women, aged 40–75, who had a mammography screening appointment in 2014–2015 and/or 2017–2018 in 14 of Sweden’s 21 health care regions.

Results

Overall screening attendance was 83.8% in 2014–2015 and 84.1% in 2017–2018 (+ 0.3 percentage points, 95% CI 0.2–0.4). The greatest increase in attendance was observed in non-Nordic women with the lowest income, where attendance rose from 62.9 to 65.8% (+ 2.9 points, 95% CI 2.3–3.6), and among women with four or more risk factors for low attendance, where attendance rose from 59.2 to 62.0% (+ 2.8 points, 95% CI 2.2–3.4).

Conclusion

Screening attendance did not undergo any important increase after implementing free screening, although attendance among some sociodemographic groups increased by almost three percentage points after the policy change.

Population-based mammography screening attendance in Sweden 2017-2018: A cross-sectional register study to assess the impact of sociodemographic factors

Sweden has a population-based mammography screening programme for women aged 40–74. The objective of this study was to examine the association between mammography screening attendance and sociodemographic factors in 15 of Sweden's 21 health care regions. Register-based information was collected on all mammography screening invitations and attendance during 2017 and 2018, and linked to individual-level sociodemographic data from Statistics Sweden. Odds ratios (ORs) and 95% confidence intervals (CIs) for attendance were computed by sociodemographic factor. The study sample included 1.5 million women, aged 40–75, with an overall screening attendance of 81.3%. The lowest odds of attending were found for women living without a partner (OR = 0.52, 95% CI: 0.52–0.53), low-income women (OR = 0.57, 95% CI: 0.56–0.57), and non-Nordic women born in Europe (OR = 0.60, 95% CI: 0.59–0.61). Other groups with lower odds of attending were women whose main source of income was social assistance or benefits (OR = 0.62, 95% CI: 0.62–0.63), those not owning their home (OR = 0.66, 95% CI: 0.66–0.67), and those with low level of education (OR = 0.72, 95% CI: 0.71–0.73). Having multiple of these sociodemographic characteristics further lowered the odds of attending. Although overall mammography screening attendance in Sweden is high, sociodemographic inequalities exist, and efforts should be made to address these. Particular attention should be given to low-income women who live without a partner.

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Mammography screening attendance in Sweden was 81% in 2017–2018.

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Sociodemographic inequalities were found for screening attendance.

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Having multiple low attendance risk factors further decreased the odds of attending.

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Lowest attendance among low-income women who live without a partner.

Built Environment and HIV Linkage to Care in Rural South Africa

Background

We assessed built environment (residential density, landuse mix and aesthetics) and HIV linkage to care (LTC) among 1,681 (18–49 years-old) residents of 15 Mpumalanga villages, South Africa.

Methods

Multilevel models (linear-binomial) were used for the association between built environment, measured using NEWS for Africa, and LTC from a clinical database of 9 facilities (2015–2018). Additionally, we assessed effect-measure modification by universal test-and-treat policy (UTT).

Results

We observed, a significant association in the adjusted 3-month probability of LTC for residential density (risk difference (RD)%: 5.6, 95%CI: 1.2–10.1), however, no association for land-use mix (RD%: 2.4, 95%CI: −0.4, 5.2) and aesthetics (RD%: −1.2, 95%CI: −4.5–2.2). Among those diagnosed after UTT, residents of high land-use villages were more likely to link-to-care than those of low land-use villages at 12 months (RD%: 4.6, 95%CI: 1.1–8.1, p < 0.04), however, not at 3 months (RD%: 3.0, 95%CI: −2.1–8.0, p > 0.10).

Conclusion

Findings suggest, better built environment conditions (adequate infrastructure, proximity to services etc.) help facilitate LTC. Moreover, UTT appears to have a protective effect on LTC.

Factors associated with attendance and attendance patterns in a population-based mammographic screening program

OBJECTIVE

To explore the factors associated with attendance and attendance pattern in BreastScreen Norway.

METHODS

We evaluated the number of invitations (n = 1,253,995) and attendances, 2015-2019, stratified by age, invitation method, screening unit and time of appointment. Attendance pattern was analysed for women invited 10 times (n = 47,979), 1996-2019. The association of education level, body mass index, physical activity and smoking status with attendance was analysed for a sub-sample of women (n = 37,930). Descriptive statistics were used to analyse attendance, and negative binomial regression was used to analyse the association between the total number of attendances and education level and lifestyle factors.

RESULTS

The attendance rate was 76.0%, 2015-2019. The rate was 78.0% for women aged >64 and 73.9% for those <55 . We found a rate of 82.0% for women who received a digital invitation, while it was 73.7% for those invited by post. The rate was 78.1% for invitations in the late afternoon, 3-6 p.m., while later appointments reached a rate of 73.7%. Half of the women invited 10 times attended all times. The predicted total number of attendances was 9 out of 10 for the factors investigated.

CONCLUSION

The highest attendance rates were shown for women aged >64, those who received digital invitations and those having appointments in late afternoon. The differences in predicted number of attendances between the investigated factors were minor. Overall, BreastScreen Norway has a high attendance rate. However, efforts aimed at increasing the attendance in specific groups should be considered.

The breast cancer paradox: A systematic review of the association between area-level deprivation and breast cancer screening uptake in Europe

Breast cancer rates are lower amongst women from more socio-economically deprived areas. However, their mortality rates are higher. One explanation of this breast cancer paradox is that women from more deprived areas are less likely to attend breast cancer screening programmes. This systematic review is the first to examine this issue in Europe. A systematic review of Embase, Medline and PsychINFO (from 2008 to 2019) was undertaken (PROSPERO registration number: CRD42018083703). Observational studies were included if they were based in Europe, measured breast cancer screening uptake, compared at least two areas, included an area-level measure of socio-economic deprivation and were published in the English language. The Joanna Briggs Institute critical appraisal checklist was used to assess study quality and risk of bias. Thirteen studies from seven different European countries met our inclusion criteria and were included in the review. In ten of the thirteen studies, there was a significant negative association between screening uptake and area-level socio-economic deprivation - with women living in more socio-economically deprived neighbourhoods less likely to attend breast cancer screening. Although universal screening programmes were provided in most studies, there were still strong negative associations between screening uptake and area-level socio-economic deprivation. Future breast cancer screening strategies should acknowledge these challenges, and consider developing targeted interventions in more deprived areas to increase screening participation.

Albuminuria measurement in diabetic care: a multilevel analysis measuring the influence of accreditation on institutional performance

Background

Studies assessing institutional performance regarding quality of care are frequently performed using single-level statistical analyses investigating differences between provider averages of various quality indicators. However, such analyses are insufficient as they do not consider patients’ heterogeneity around those averages. Hence, we apply a multilevel analysis of individual-patient heterogeneity that distinguishes between ‘general’ (‘latent quality’ or measures of variance) and ‘specific’ (measures of association) contextual effects. We assess general contextual effects of the hospital departments and the specific contextual effect of a national accreditation programme on adherence to the standard benchmark for albuminuria measurement in Danish patients with diabetes.

Methods

From the Danish Adult Diabetes Database, we extracted data on 137 893 patient cases admitted to hospitals between 2010 and 2013. Applying multilevel logistic and probit regression models for every year, we quantified general contextual effects of hospital department by the intraclass correlation coefficient (ICC) and the area under the receiver operating characteristic curve (AUC) values. We evaluated the specific effect of hospital accreditation using the ORs and the change in the department variance.

Results

In 2010, the department context had considerable influence on adherence with albuminuria measurement (ICC=21.8%, AUC=0.770), but the general effect attenuated along with the implementation of the national accreditation programme. The ICC value was 16.5% in 2013 and the rate of compliance with albuminuria measurement increased from 91.6% in 2010 to 96% in 2013.

Conclusions

Parallel to implementation of the national accreditation programme, departments’ compliance with the standard benchmark for albuminuria measurement increased and the ICC values decreased, but remained high. While those results indicate an overall quality improvement, further intervention focusing on departments with the lowest compliance could be considered.

From the dark end of the street to the bright side of the road: Automated redistricting of areas using physical barriers as dividers of social space

This study examines the properties of administrative areas compared to a new method of automated redistricting when measuring social differentiation and segregation. Using physical barriers, such as roads, railways, streams, areas of uninhabited nature, and the like as dividers of social space, this study explores alternative ways of thinking social belonging and social cohesion that are beyond standard measures of geography and utilize areas of smaller size and population count. The geographical data are linked to Danish register data of the total Danish population in 2015, N = 4,986,125 on key variables of income, months of completed education, and ethnicity. The overall findings in this study suggest that rethinking geography when localizing social enclaves and segregated communities yields better results than using the more illogical administrative areas. The visual inspection, entropy levels of homogeneity, and intraclass correlation suggest that smaller areas that are divided by physical objects serve as a better reservoir of social cohesion and therefore better measurement of social inequality.

Spatial distribution of mammography adherence in a Swiss urban population and its association with socioeconomic status

Purpose

Local physical and social environment has a defining influence on individual behavior and health‐related outcomes. However, it remains undetermined if its impact is independent of individual socioeconomic status. In this study, we evaluated the spatial distribution of mammography adherence in the state of Geneva (Switzerland) using individual‐level data and assessed its independence from socioeconomic status (SES).

Methods

Georeferenced individual‐level data from the population‐based cross‐sectional Bus Santé study (n = 5002) were used to calculate local indicators of spatial association (LISA) and investigate the spatial dependence of mammography adherence. Spatial clusters are reported without adjustment; adjusted for neighborhood income and individual educational attainment; and demographic factors (age and Swiss nationality). The association between adjusted clusters and the proximity to the nearest screening center was also evaluated.

Results

Mammography adherence was not randomly distributed throughout Geneva with clusters geographically coinciding with known SES distributions. After adjustment for SES indicators, clusters were reduced to 56.2% of their original size (n = 1033). Adjustment for age and nationality further reduced the number of individuals exhibiting spatially dependent behavior (36.5% of the initial size). The identified SES‐independent hot spots and cold spots of mammography adherence were not explained by proximity to the nearest screening center.

Conclusions

SES and demographic factors play an important role in shaping the spatial distribution of mammography adherence. However, the spatial clusters persisted after confounder adjustment indicating that additional neighborhood‐level determinants could influence mammography adherence and be the object of targeted public health interventions.

Breast cancer screening programme participation and socioeconomic deprivation in France

The objective was to quantify the relationship between deprivation and national breast cancer screening programme (NBCSP) participation at an ecological level in mainland France. Data from 4,805,390 women-living in 36,209 municipalities within 95 departments-participating in the 2013-2014 NBCSP were analysed using the French Deprivation Index (FDep). FDep population quintiles by municipality were computed to describe NBCSP participation according to deprivation. To better examine the relationship between continuous value of deprivation index and participation rates at the municipality level, we built a generalized linear mixed model. Geographical variations in participation rates were marked. The national standardized participation rate was higher in the intermediate quintiles (55%), 45% for the least deprived one and 52% for the most deprived one. Using our model, we also obtained an inverted U-curve for the relationship between NBCSP participation and municipality deprivation: participation was lower for both the least and most deprived municipalities. This relationship was also observed for each of the two subpopulations-urban municipalities and rural ones-considered separately. Introducing the FDep in the model reduced slightly the unexplained variations in participation rates between departments and between municipalities (with a proportional change in variance of 14% and 12% respectively). We highlight major disparities in departmental participation rates and FDep/participation profiles. However, deprivation appears to have only little influence on geographical variation in participation rates. There is a need to further understand the factors affecting geographical variation in participation rates, in particular the use of opportunistic screening.

Living in "Cold Spot" Communities Is Associated with Poor Health and Health Quality

PURPOSE

Little is known about incorporating community data into clinical care. This study sought to understand the clinical associations of cold spots (census tracts with worse income, education, and composite deprivation).

METHODS

Across 12 practices, we assessed the relationship between cold spots and clinical outcomes (obesity, uncontrolled diabetes, pneumonia vaccination, cancer screening-colon, cervical, and prostate-and aspirin chemoprophylaxis) for 152,962 patients. We geocoded and linked addresses to census tracts and assessed, at the census tract level, the percentage earning less than 200% of the Federal Poverty Level, without high school diplomas, and the social deprivation index (SDI). We labeled those census tracts in the worst quartiles as cold spots and conducted bivariate and logistic regression.

RESULTS

There was a 10-fold difference in the proportion of patients in cold spots between the highest (29.1%) and lowest practices (2.6%). Except for aspirin, all outcomes were influenced by cold spots. Fifteen percent of low-education cold-spot patients had uncontrolled diabetes compared with 13% of noncold-spot patients (P < .05). In regression, those in poverty, low education, and SDI cold spots were less likely to receive colon cancer screening (odds ratio [CI], 0.88 [0.83-0.93], 0.87 [0.82-0.92], and 0.89 [0.83-0.95], respectively) although cold-spot patients were more likely to receive cervical cancer screening.

CONCLUSION

Living in cold spots is associated with worse chronic conditions and quality for some screening tests. Practices can use neighborhood data to allocate resources and identify those at risk for poor outcomes.

Intraclass correlation values for adolescent health outcomes in secondary schools in 21 European countries

BACKGROUND

Cluster randomised controlled trials (CRCTs) are increasingly used to evaluate the effectiveness of interventions for improving health. A key feature of CRCTs is that individuals in clusters are often more alike than individuals in different clusters, irrespective of treatment. This similarity within clusters needs to be taken into account when planning CRCTs to obtain adequate sample sizes, and when analysing clustered data to obtain correct estimates.

METHODS

Nationally representative data from 15 to 16 year olds were analysed, from 21 of the 35 countries that participated in the 2007 European School Survey Project on Alcohol and Other Drugs. Within country school level intra-class correlation coefficients (ICCs) were calculated for substance use (self-reported alcohol use, regular alcohol use, binge drinking, any smoking, regular smoking, and illicit drug use) and psychosocial health (depressive mood and self-esteem). Unadjusted and adjusted ICCs are presented. ICCs are adjusted for student sex and socioeconomic status.

RESULTS

ICCs ranged from 0.01 to 0.21, with the highest (0.21) reported for regular smoking. Within country school level ICCs varied substantially across health outcomes, and among countries for the same health outcomes. Estimated ICCs were consistently higher for substance use (range 0.01-0.21), than for psychosocial health (range 0.01-0.07). Within country ICCs for health outcomes varied by changes in the measurement of particular health outcomes, for example the ICCs for regular smoking (range 0.06-0.21) were higher than those for having smoked at all in the last month (range 0.03-0.17).

CONCLUSIONS

For school level ICCs to be effectively utilised in informing sample size requirements for CRCTs and adjusting estimates from meta-analyses, the school level ICCs need to be both country and outcome specific.