Skip to main content
British Journal of Cancer logoLink to British Journal of Cancer
. 2013 Jul 18;109(3):597–602. doi: 10.1038/bjc.2013.377

A randomised trial of weekend and evening breast screening appointments

J Offman 1, M Wilson 2, M Lamont 3, H Birke 1, E Kutt 3, S Marriage 4, Y Loughrey 5, S Hudson 6, A Hartley 2, J Smith 3, B Eckersley 7, F Dungey 8,9, D Parmar 1, J Patnick 10, S W Duffy 1,*
PMCID: PMC3738129  PMID: 23867998

Abstract

Background:

There is a need to research interventions that improve access to and convenience of breast cancer screening services.

Methods:

We conducted a randomised trial comparing invitations to out-of-hours appointments with standard office hour appointments. Women who were to be invited for routine breast screening were randomised (3 : 1 : 1 : 1) to one of these screening invitations: standard office hour appointment, office hour appointment with the option to change to an out-of-hours appointment, weekday evening appointment, or weekend appointment.

Results:

A total of 9410 women were invited to an office hour, 3519 to an office hour with the option to change, 3271 to a weekday evening, and 3162 to a weekend appointment. The offer of an initial out-of-hours appointment was associated with a non-significant decrease in attendance rates (73.7% vs 74.1%). The highest attendance was observed in the group offered an initial office hour appointment with the option to change to out-of-hours (76.1% vs 73.3% for standard office hour, P=0.001), with 7% of invitees exercising the option to change.

Conclusion:

The optimum strategy for improving attendance at breast screening is to offer a traditional office hour appointment and including in the letter of invitation an option to change to an evening or weekend appointment if wished.

Keywords: mammography, breast cancer, breast screening, attendance, evening appointment, weekend appointments


Although there is disagreement about the absolute size of the mortality reduction, it is generally accepted that mammography prevents deaths from breast cancer (Independent UK Panel on Breast Cancer Screening, 2012). The UK National Health Service (NHS) offers 3-year, two-view mammography to all women aged 50–70 years, which is currently being expanded to women aged 47–73 years in England. Although it must be accepted that a proportion of those offered screening will make an informed decision not to take up the offer, the provider of the service has a responsibility to ensure as far as possible that the decision is not unduly swayed by issues of convenience. Enhancing the accessibility of the programme is therefore desirable to improve the efficiency, effectiveness, and equity of the service.

Attendance in the UK NHS Breast Screening Programme exceeds 70% on average (NHS Cancer Screening Programmes, 2011). There are areas with considerably lower attendance rates though, and recent declines have been observed. Non-attendance for breast screening has been associated with various factors in United Kingdom and elsewhere, notably low socioeconomic status, specific health attitudes and beliefs, and distance from place of residence to the screening site (Maheswaran et al, 2006; Paskett et al, 2006; Rutter et al, 2006). Although one study in Spain found inconvenience of the appointment time as a reason for non-attendance (Alcaraz et al, 2002), the relationship of appointment time with attendance is not well researched. Preliminary surveys of American women found that women who worked felt that evening and weekend screening appointments would be useful (Engelman et al, 2005). This was mirrored in a previous survey of women in New Zealand, where 17% felt that offering out-of-hours appointments would increase attendance (Richardson, 1990). In contrast, a study in the 1990s suggested that offering appointments outside of working hours did not materially alter attendance rates (Readman and Asbury, 1999). However, with female employment rates higher now than in the past, the subject is worth revisiting.

It is furthermore not clear whether the offer of an evening appointment would, for example, be more welcome in summer than winter, or whether women would be happier attending an evening appointment in a hospital than in a mobile unit. In addition, location of a screening unit could have an impact on attendance of out-of-hours clinics, for example, a more centrally located screening unit might be more attractive on a Saturday, as the screening appointment could be combined with a shopping trip.

We carried out a randomised controlled study of offering appointments after working hours during the week and at weekends, with the aim to discover whether the offer of these out-of-hours screening appointments would increase attendance rates. To determine the optimum strategy for offering out-of-hours appointments, subgroup analysis was carried out to ascertain whether this effect is modified by prevalent or incident status, static or mobile screening sites, age of invitee, and time of year of appointment.

Materials and methods

Study design and participants

The Out of Hours Study (OOHS) was an open, four-arm (two major and four minor), randomised controlled trial undertaken at two breast screening centres in the United Kingdom.

The only eligibility criterion was appearance on the list of women (age 47–73 years) who were to be invited for their next routine breast screening appointment in the Greater Manchester Breast Screening Programme or in the Avon Breast Screening Programme in Bristol. Women were excluded from the study if they had opted out of the screening programme. At the beginning of this study, a second exclusion criterion had been defined as women who require a special appointment because of disability or breast implants. Once the study had started, however, it became apparent that it was not always possible to identify women requiring these special appointments at the time of randomisation. This exclusion criterion was therefore removed from the protocol, and women who had to reschedule their appointment due to access issues because of disabilities were removed from the data set before data analysis.

As this study represented only a minor variation on routine practice and some UK breast screening services are already offering out-of-hours appointments, women entered were not informed that they were subjects in a study or asked for consent. The study was approved by the National Research Ethics Service East London 3 Research Ethics Committee and the review boards of the participating organisations, and was carried out in accordance with good clinical practice guidelines and the Declaration of Helsinki. The study is registered as ISRCTN70398358.

Randomisation

Women who were to be invited for their next routine breast screening appointments were randomised to one of the four trial arms:

Major arm office hour appointments (arms (1) and (2)):

  1. Standard office hour appointment (without option to change to out-of-hours);

  2. Office hour appointment but with the invitation offering the opportunity to change to an evening or weekend appointment; Major arm out-of-hours appointments (arms (3) and (4)):

  3. Weekday evening appointment; or

  4. Weekend appointment.

We planned to continue the study until we had recruited at least 9000 women to arm (1) and 3000 each to arms (2), (3), and (4), resulting in a ratio of approximately 3 : 1 : 1 : 1. Randomisation was by computerised pseudo-random number generation within the computerised breast screening invitation system for allocation to arms (3), (4), and arms (1) and (2) combined. The system could not be used to randomise between the two types of letters for arms (1) and (2), so a table of pseudo-random numbers was generated by STATA to allocate weeks of invitation between these two groups in the ratio 3 : 1.

Procedures

Women were sent the standard breast screening invitation letter normally used by the breast screening programme 2–4 weeks before their allocated appointment. In all groups, invitation letters stated explicitly that if the offered appointment was inconvenient, the screening unit would be happy to offer a different time and date.

Details of the first offered and any rescheduled appointments including reasons for rescheduling and appointment attendance were recorded. Women in all four trial arms were screened following the standard procedures.

Office hour appointments were made between 0845 and 1630 hours in Bristol and 0850 and 1630 hours in Manchester. Weekend appointments were on Saturdays within the same working hours normally used on weekdays. Weekday evening appointments were between 1700 and 1900 hours in Bristol and 1630 and 1900 hours in Manchester on at least 2 days per week, except Fridays.

The primary study end point was attendance for screening within 120 days of first offered appointment. The secondary end point was attendance at first offered appointment. The primary interest was in the difference in attendance between the two major arms, (1) and (2) combined compared with (3) and (4) combined, and between the minor arms within the major arms, (1) vs (2) and (3) vs (4).

Statistical analysis

The study was designed to have 90% power to detect as significant a difference in attendance of 60% vs 64% with 3000 women in each arm, and to considerably exceed this power in comparison of the 12 000 with a standard appointment with the 6000 with an out-of-hours or weekend appointment.

In the context of this, study methods of handling withdrawals or protocol deviation were not applicable, because every woman received a letter (‘treatment'). The statistical analysis was intention-to-treat, that is, the invitation group was allocated as randomised. However, the fact that there will be no deviation from the protocol implies that a per protocol analysis would be based on the same population, and therefore the results would be the same.

Statistical analysis was by logistic regression (Breslow and Day, 1980) with attendance as defined above as the end point, using conservative s.e. estimates (Gail et al, 1988) in case of any extra-binomial variation conferred by the randomisation of weeks between arms (1) and (2). In addition to the main comparisons of attendance between arms, a number of subgroup analyses were also planned by age, prevalent/incident screen status, whether previous scheduled screen (if applicable) had been attended, season of appointment, and type of screening unit (static or mobile). Analyses were performed using STATA Version 12.1 software (StataCorp, College Station, TX, USA). Season of appointment was coded as spring (March–May), summer (June–August), autumn (September–November), and winter (December–February). Prevalent/incident status was defined as incident if the woman had attended at least one previous screen and prevalent if not (regardless of the number of invitations). Statistical testing was two-sided, with P<0.05 considered to be statistically significant.

Role of the funding source

The funding source did not participate in the study design, data collection, data analysis, or drafting of the report. One author (JP) is directly employed by the funding source. SWD had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Results

Between June 2010 and July 2011, a total of 19 409 women were enrolled into the OOHS. Forty-seven women were later excluded as they reported disabilities or access issues when re-booking. This resulted in 19 362 women included in the trial, of whom 9930 were from the Greater Manchester Breast Screening Programme and 9432 were from the Avon Breast Screening Programme in Bristol. Figure 1 shows the CONSORT diagram for flow of the participants through the trial. A total of 9410 women were allocated to standard office hour appointments, 3519 to office hour appointments with option to change to out-of-hours, 3271 to evening, and 3162 to weekend appointments. Women were followed for 140 days after their first offered appointment, and the cut off date for appointment attendance was 120 days after their first offered appointment.

Figure 1.

Figure 1

Basic design of the study and numbers of subjects randomised.

Table 1 shows the basic attributes of the study participants. The majority of women were aged ⩾59 years. In all, 27.0% of the screening episodes were prevalent screens, and 95.8% of screening invitations were to static sites. Also, 61.9% of appointments were in autumn or winter (defined as September–February inclusive). Of those women for whom this was the second or subsequent invitation, 76.9% had attended the previous screen.

Table 1. Description of the trial population.

  n %
Trial arm
Standard office hours 9410 48.6%
Office hours with option to OOH 3519 18.2%
Evening 3271 16.9%
Weekend 3162 16.3%
 
19 362
100%
Attendance at previous screen (3 years ago; only if previous invitations ⩾1)
Attended 12 314 76.9%
Not-attendeda 3710 23.2%
 
16 024
100%
Age group
47 to <54 4514 23.3%
54 to <59 4300 22.2%
59 to <65 5298 27.4%
65 to <74 5250 27.1%
 
19 362
100%
Prevalent/incident status
Prevalent 5232 27.0%
Incident 14 130 73.0%
 
19 362
100%
Screening site
Static 18 549 95.8%
Mobile 813 4.2%
 
19 362
100%
Season of appointment
Spring 3352 17.3%
Summer 4018 20.8%
Autumn 7051 36.4%
Winter 4941 25.5%
  19 362 100%
a

Defined for this data set as: women whose last screen dates were more than 1500 days back (1586 women), incident women with missing date of previous screen (230), or prevalent women who were ⩾53 years (1894 women).

Table 2 shows attendance within 120 days, attendance at first offered appointment, and numbers switching between out-of-hours and office hour appointments by trial arm for all the 19 362 women entered into the study. The highest attendance (76.1%) was observed for the arm offered an initial office hour appointment with the option to change to out-of-hours, compared with 73.3% in the standard office hour arm, 74.8% in the evening arm, and 72.6% in the weekend arm. Attendance differed significantly among all four arms (P=0.001). In all, 7% of women in the office hour with option to change group took up the option to change to an out-of-hours appointment. Overall attendance was 73.9%, but attendance at initial offered appointment was low (43.3%).

Table 2. Attendance within 120 days (primary end point), attendance at first appointment offered (secondary end point) and number changing between office hours and out of hours appointments.

Trial arm Primary end point: attendance Secondary end point: attendance at first appointment offered Change to office hours Change to OOH
Office hours
Standard (n=9410) 6900 (73.3%) 4176 (44.4%) 157 (2.3%)
With option to OOH (n=3510) 2678 (76.1%) 1599 (45.4%) 194 (7.2%)
Sum (n=12 929)
9578 (74.1%)
5775 (44.7%)

351 (3.7%)
OOH
Evening (n=3271) 2445 (74.8%) 1231 (37.6%) 907 (37.1%)
Weekend (n=3162) 2295 (72.6%) 1375 (43.5%) 572 (24.9%)
Sum (n=6433)
4740 (73.7%)
2606 (40.5%)
1479 (31.2%)

All arms
Total (n=19 362) 14 318 (73.9%) 8381(43.3%)    

Abbreviation: OOH=out-of-hours.

From Figure 2A, it can be seen that there was no significant difference in attendance between offering office hour and out-of-hours appointments (the two major arms). The three out-of-hours study arms (office hour option to out-of-hours, evening, and weekend) were then compared with the standard invitation to an office hour appointment. Attendance was significantly higher for those whose invitation to an office hour appointment included the option to change to out-of-hours (76.1% vs 73.3%, odds ratio (OR)=1.158, P=0.001). On the other hand, there was no statistically significant increase in attendance for initial evening or weekend appointments. Comparing the two initial out-of-hours appointments, evening vs weekend, attendance was significantly lower in those offered a weekend appointment (72.6% vs 74.8%, OR=0.894, P=0.049).

Figure 2.

Figure 2

Formal trial comparisons. (A) For attendance within 120 days of initial appointment (primary end point). (B) For attendance at initial offered appointment (secondary end point).

Figure 2B shows the formal results for the secondary end point, attendance at initial appointment offered. Attendance was significantly lower for those offered an evening or weekend appointment (40.5% vs 44.7%, OR=0.844, P<0.001). When comparing the three study arms with the standard office hour appointment arm, attendance at initial appointment was significantly lower for evening appointments (OR=0.756, P<0.001) and slightly lower for Saturday appointments. Within those offered an initial out-of-hours appointment, attendance at weekend appointments was significantly higher (43.5% vs 37.6%, OR=1.275, P<0.001).

In subgroup analyses, significant heterogeneity of the comparison of the two major arms was observed by prevalent/incident status (P=0.042) and season of appointment (P<0.001) (Supplementary Table 1). Attendance within 120 days (Supplementary Table 2) was particularly low for initial office hour appointments for prevalence episodes (53.6%) and particularly high for initial office hour appointments for incidence screens (82.1%). Attendance was significantly lower for out-of-hours appointments than for office hours appointments in summer (71.3% vs 76.1%, OR=0.779, P=0.001), but significantly higher in spring (79.9% vs 76.6%, OR=1.215, P=0.041) and autumn (71.0% vs 68.7%, OR=1.116, P=0.037). Attendance was 77% for both major arms in winter. There was no significant difference between initial out-of-hours compared with office hour appointments for the four age groups analysed.

For comparisons of minor arms, significant heterogeneity of the difference between office hour appointments and office hour appointments with the option to change was observed by whether the screening unit was static or mobile (P=0.010) and season of appointment (P<0.001). Attendance rates for the subgroups are shown in Table 3. For static units, higher attendance within 120 days was observed in the option to change group (76.4% vs 73.2%), whereas for mobile units, higher attendance was observed in the standard office hour invitation group (77.1% vs 69.1%). The option to change group showed higher attendance in summer (80.5% vs 75%) and autumn (74.1% vs 66.5%), but lower attendance in spring (75.2% vs 77.6%) and winter (77.3% vs 78.0%). The option to change was associated with a slightly higher attendance in those who had not attended the previous invitation (34.6% vs 30.6%), but the interaction did not reach statistical significance (P=0.246). Also, there was no significant heterogeneity by age, but the increased attendance with the option to change was more pronounced in older invitees. The option to change group showed significantly higher attendance in 59 to <65 year olds (79.0% vs 73.7%) and 65 to <74 year old women (76.0% vs 72.2%). The heterogeneity of the effect by age, however, was not significant (P=0.098), so this may be a chance finding. No significant heterogeneity was observed for the difference between the initial weekday evening and initial weekend appointment arms.

Table 3. Heterogeneity of difference between office hour appointments with and without the option to change to OOH in the invitation letter.

Category Trial arm office hours Invited Attended % Attended
Screening unit
Static Standard 9004 6587 73.2%
  With option to OOH 3383 2584 76.4%
Mobile Standard 406 313 77.1%
 
With option to OOH
136
94
69.1%
Season
Spring Standard 1438 1116 77.6%
  With option to OOH 992 746 75.2%
Summer Standard 2211 1658 75.0%
  With option to OOH 570 459 80.5%
Autumn Standard 2930 1947 66.5%
  With option to OOH 1235 915 74.1%
Winter Standard 2831 2179 77.0%
 
With option to OOH
722
558
77.3%
Attendance at previous screen
Attended Standard 5700 5003 87.8%
  With option to OOH 2394 2112 88.2%
Not-attended Standard 1933 591 30.6%
 
With option to OOH
650
225
34.6%
Age group
47 to <54 Standard 2332 1713 73.5%
  With option to OOH 732 541 73.9%
54 to <59 Standard 2191 1621 74.0%
  With option to OOH 676 503 74.4%
59 to <65 Standard 2563 1889 73.7%
  With option to OOH 972 768 79.0%
65 to <74 Standard 2324 1677 72.2%
  With option to OOH 1139 866 76.0%

Abbreviation: OOH=out-of-hours.

The majority of reasons for rescheduling of the first-allocated appointment fell into the catch-all category of ‘inconvenient' ranging from 81.8% for the first-allocated evening to 86.9% for the first-allocated weekend appointments (Supplementary Table 3). The differences in reasons for rescheduling among the arms are significant (P<0.001), mainly due to fewer women allocated to weekend or evening appointments citing ‘work' or ‘other'.

Discussion

The results of this randomised trial are very clear. First, the offer of an initial weekend or weekday evening breast screening appointment did not increase attendance rates. However, inclusion of the option to change to such an appointment in the letter inviting women to an office hour appointment was associated with a significant increase in attendance (76.1% vs 73.3%). Around 7% of those women who were invited took up the option to change, being split approximately equally between changing to evening and weekend appointments. Although the comparison of the major trial arms suggests that initial office hour appointments are preferred, the minority for whom the opportunity to change to out-of-hours appointments is attractive is of sufficient size to confer a significant improvement.

Subgroup analyses suggest that the initial office hour appointment results in particularly high attendance at incident screen episodes, that is, in women who have attended for screening in the past. However, the increased attendance with an office hour appointment with the option to change was slightly stronger in previous non-attenders. A number of barriers to breast cancer screening, including time and employer constraints, have been indentified (Schueler et al, 2008). A recent population-based survey in United Kingdom found that 12.5% of women, who had never attended breast screening, cited ‘...I haven't got round to it but I do intend to take part' (Lo et al, 2013). Intention to attend screening has been considered to be a potentially important variable, and women who had a positive attitude towards screening were more likely to attend in a number of studies (Jepson et al, 2000). The option to change to more convenient appointment times, which fit around work commitments or other time constraints, may reduce these barriers to screening attendance for women with the intention to attend but who have in the past failed to translate this intention into behaviour.

The finding of a preference for office hour initial appointments but an increased uptake with the opportunity to change was stronger in the summer months. Screening appointments in the evenings might be more attractive in summer months because of the longer daylight hours and appointments on Saturdays as women might be more inclined to combine their screening appointment with a social occasion or shopping in town when the weather is more pleasant. Women who attended Saturday appointments at the centrally located Avon Breast Screening Programme in Bristol commented that they like to combine their Saturday appointment with shopping in the close-by shopping area.

Female employment rates are now higher than in the past (66% in 2012 compared with 62% in 1992 for the age group 16–64) (Office for National Statistics, 2013). With the biggest increase in employment occurring in the age group 50–64 (47% in 1992 to 61% in 2012) and the age group 35–49 having the highest employment rates (73% in 1992 to 76% in 2012), one might assume that younger women (age groups 47 to <54 and 54 to <59 in this study) would be more likely to be in full time work. We would have therefore expected that out-of-hours appointments would be more attractive to younger women. However, we observed that increased attendance with the option to change was more pronounced in older invitees (aged ⩾59 years). The heterogeneity of the effect by age was not significant, however, so this may be a chance finding.

A study in the 1990s in one of the centres used here found that the offer of a Saturday appointment did not improve attendance in women who had not attended their initial appointment (Readman and Asbury, 1999). The present trial differs in the interventions assessed and was aimed at the entire invited population. Also, it might be that changes in female employment patterns have rendered the option to change more attractive.

In conclusion, the findings of this trial are very clear: the optimum strategy is to offer an initial office hour breast screening appointment, with the offer of the opportunity to change to a weekend appointment. Service managers should plan for around 7% of the invited population changing to an evening or weekend appointment, in roughly equal proportions.

Acknowledgments

This trial was supported by the NHS Cancer Screening Programmes. SWD and DP contributed to this work as part of the programme of the Policy Research Unit in Cancer Awareness, Screening and Early Diagnosis. The Policy Research Unit in Cancer Awareness, Screening, and Early Diagnosis receives funding for a research programme from the Department of Health Policy Research Programme. It is a collaboration between researchers from seven institutions (Queen Mary University of London, UCL, King's College London, London School of Hygiene and Tropical Medicine, Hull York Medical School, Durham University, and Peninsula Medical School). We would like to thank the staff at the Nightingale Centre and Genesis Prevention Centre and the Avon Breast Screening Unit for their contribution to this study.

The authors declare no conflict of interest.

Footnotes

Supplementary Information accompanies this paper on British Journal of Cancer website (http://www.nature.com/bjc)

This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License.

Supplementary Material

Supplementary Tables

References

  1. Alcaraz M, Lluch A, Miranda J, Pereiro I, Salas MD. [Study of non-participation in the breast cancer screening program in the city of Valencia (Spain)] Gac Sanit. 2002;16:230–235. doi: 10.1016/s0213-9111(02)71666-x. [DOI] [PubMed] [Google Scholar]
  2. Breslow NE, Day NE. Statistical methods in cancer research. Volume I—The analysis of case-control studies. IARC. 1980;1:5–338. [PubMed] [Google Scholar]
  3. Engelman KK, Cizik AM, Ellerbeck EF. Women's satisfaction with their mammography experience: results of a qualitative study. Women Health. 2005;42:17–35. doi: 10.1300/j013v42n04_02. [DOI] [PubMed] [Google Scholar]
  4. Gail MH, Tan WY, Piantadosi S. Tests for no treatment effect in randomized clinical trials. Biometrika. 1988;75:57–64. [Google Scholar]
  5. Independent UK Panel on Breast Cancer Screening The benefits and harms of breast cancer screening: an independent review. Lancet. 2012;380:1778–1786. doi: 10.1016/S0140-6736(12)61611-0. [DOI] [PubMed] [Google Scholar]
  6. Jepson R, Clegg A, Forbes C, Lewis R, Sowden A, Kleijnen J.2000The determinants of screening uptake and interventions for increasing uptake: a systematic review Health Technol Assess 4(i–vii1–133. [PubMed] [Google Scholar]
  7. Lo SH, Waller J, Wardle J, von Wagner C.2013Comparing barriers to colorectal cancer screening with barriers to breast and cervical screening: a population-based survey of screening-age women in Great Britain J Med Screendoi: 10.1177/0969141313492508 [DOI] [PubMed]
  8. Maheswaran R, Pearson T, Jordan H, Black D. Socioeconomic deprivation, travel distance, location of service, and uptake of breast cancer screening in North Derbyshire, UK. J Epidemiol Commun H. 2006;60:208–212. doi: 10.1136/jech.200X.038398. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. NHS Cancer Screening Programmes 2011NHS Breast Screening Programme: Annual Review 2011, Sheffield.
  10. Office for National Statistics 2013Labor Force Survey.
  11. Paskett E, Tatum C, Rushing J, Michielutte R, Bell R, Long Foley K, Bittoni M, Dickinson SL, McAlearney AS, Reeves K. Randomized trial of an intervention to improve mammography utilization among a triracial rural population of women. J Natl Cancer I. 2006;98:1226–1237. doi: 10.1093/jnci/djj333. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Readman LP, Asbury DL. Breast screening uptake rates: does access to Saturday sessions lead to improvements. Breast. 1999;8:343–344. doi: 10.1054/brst.1999.0114. [DOI] [PubMed] [Google Scholar]
  13. Richardson A. Factors likely to affect participation in mammographic screening. N Z Med J. 1990;103:155–156. [PubMed] [Google Scholar]
  14. Rutter DR, Steadman L, Quine L. An implementation intentions intervention to increase uptake of mammography. Ann Behav Med. 2006;32:127–134. doi: 10.1207/s15324796abm3202_10. [DOI] [PubMed] [Google Scholar]
  15. Schueler KM, Chu PW, Smith-Bindman R. Factors associated with mammography utilization: a systematic quantitative review of the literature. J Womens Health (Larchmt) 2008;17:1477–1498. doi: 10.1089/jwh.2007.0603. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Tables

Articles from British Journal of Cancer are provided here courtesy of Cancer Research UK

RESOURCES