Table 4.
Author and Year | Population and Setting | Sample Size | Intervention Components, Duration, and Mode of Delivery | Follow-up Period | Outcome Measures | Outcomes |
---|---|---|---|---|---|---|
Skinner et al.2 | Low-income elderly, mostly African-Americans
Senior center, St. Louis |
N = 240 | (1) Community-based education
(2) Done through an urban social service organization Half d, one time taught by health professionals Control = core education (no van) |
2 and 3 y | Breast cancer knowledge, mammography benefits/ barriers, stage of adoption, mammography rates | Control:
Baseline = 57% y 2 = 52% Experimental: Baseline = 49% y 2 = 68% (p = 0.001) |
Rimer et al.6 | Elderly in 8 retirement communities,
Philadelphia |
N = 412 | (1) Letter from retirement community medical director announcing education session and mobile mammography unit
(2) Letter to primary care physician (3) Educational program with video, print materials, group discussion, opportunity to schedule mammography appointment (4) Reduced cost mammography Duration not stated; conducted by health workers Control = baseline interview, posters and materials to promote availability of $40 vouchers (with $10 copay) for mammography |
3 mo | Mammography rates | Control = 12%
Experimental = 45% (p = 0.001) |
Reuben et al.7 | Older women, mostly low-income
60 Los Angeles community based meal sites, senior centers and clubs |
N = 463 | Educational sessions about breast cancer, mammography, stroke prevention, and effect of exercise on arthritic joints. Participants were given the following and sent reminder 2 wks post:
(1) Health education pamphlet (2) Educational videotape (3) Directory of community-based mammography sites 1.5 h, one time; conducted by health education facilitators Control = health education only |
3 mo | Mammography use | Control = 40%
Experimental = 55% (p < 0.001) |
Slater et al.3 | Low-income women in public housing | N = 314 | (1) 10 minute oral presentation about benefits of mammography
(2) Facilitator led small group discussions to motivate screening (3) Physician prompting to order a mammogram (eg subjects sent letters to their doctors) (4) Free mammogram for under or uninsured 1 h, one time conducted by health professionals and peers in public housing Control = no treatment initially, received intervention afterwards |
6–18 mo | Mammogram within the last 15 mo | Control = 52%
Experimental = 64% (p = 0.04) |
Skaer et al.4 | Hispanic migrants, low income; Non-profit, rural, migrant clinics in Washington State | N = 160 | (1) Standard clinical education about breast cancer and importance of screening
(2) Free voucher for mammography. Controls had standard clinical education only 4 wk; taught by bilingual nurses |
4 wk | Mammography completion | Control = 18%
Experimental = 88% (p = 0.0001) |
Fletcher et al.5 | Broad community
North Carolina rural communities |
N = 970 | (1) One h small group training for MDs and letter to MDs
(2) Prompting system in medical record (3) TV and radio advertisements; 29 newspaper articles (4) Community groups were addressed (5) Minority task force coordinated media and social events (6) Free or half price mammograms for low SES subjects Control = comparison community without any intervention 1–2 h over the course of 1 y; Media and MDs provided health messages |
2 y | Knowledge, Attitude and Behavior survey mammogram use | Control = 30–40%
Experimental = 35–55% (p = 0.03) African Americans had lower % increase in mammography adherence |
Zhu et al.8 | African Americans without spouses; 10 public housing complexes in Tennessee | N = 540 | Interview before the intervention
(1) Education focusing on women’s cognition, psychological adjustment, significant other’s role in assisting the subject (2) Lay health educator did one on one teaching. (3) Messages were culturally and educationally appropriate Control = received nothing Assuming about 1 h; taught by health educators |
1 and 2 y | Clinical and breast self exam, mammography. Breast health knowledge, attitudes and behavior | y 1:
Control = 53% Experimental = 55% (p > 0.50) y 2: Control = 68% Experimental = 66% (p > 0.50) |
Champion9 | Income not stated, Midwest metropolitan area | N = 301 | Guided script individualized according to responses to questions about stage of adoption for mammography
2 in-home interviews conducted by graduate nurse research assistants |
2 y | Mammography rates | Belief vs. Control OR = 1.83 (p = 0.12)
Information vs. Control OR = 1.47 (p = 0.32) Belief/Information vs. Control OR = 3.75 (p = 0.004) |
Champion10 | Income not stated, mostly Euro-American
Midwest metropolitan area |
N = 405 | Guided script individualized according to responses to questions about stage of adoption for mammography.
Group 1 = control received nothing; Group 2 = belief information; Group 3 = informational intervention; Group 4 = belief/informational 1 in-home interview conducted by graduate nurse assistants. |
1 y | Mammography rates and stage of adoption | Belief vs. Control OR = 1.96 (p = 0.05)
Information vs. Control = 1.50 (p = 0.22) Belief/Information vs. Control OR = 2.26 (p = 0.02) |
Segura et al.11 | Mixed SES but mostly low SES | N = 1507 | Women were received an invitation to participate via:
(1) Mailing from research staff; (2) Mailing from family doctor and program nursing staff or; (3) Home visit explaining benefits of early detection, screening process, and how to obtain a mammogram Compared 3 invitation strategies One time contact via mail or home direct contact; conducted by non health professionals |
2–3 mo | Response rate to 3 invitation types | Mailed letter = 52.1% (p = 0.003)
Primary health care team invitation = 55.6% (p = 0.037) Direct contact = 63.5% p values refer to the comparison of mailed or primary health invitation vs. direct contact invitation |
Type of intervention: community education alone | ||||||
Mishra et al.12 | Low-income Latinas, Orange County, California
2 community and 1 university affiliated organization |
N = 88 | (1) Question and answer with health educator
(2) Solutions for breast cancer control. (3) Breast cancer control modules (empowerment, knowledge, breast cancer detection tools, how to perform breast self-exam) 2 wks, 4 education sessions, twice per wk (each 2 h); taught by health educators Control = received nothing |
Immediate and 6 wk post intervention | Knowledge, self-efficacy, attitudes, breast self-exam skills, and mammography use | Control:
Baseline = 0% 6 wk post = 11% Experimental: Baseline = 0% 6 wk post = 10% (p = 0.25) |
Type of intervention: referrals | ||||||
Navarro et al.13 | Low-income Latinas
San Diego, California |
N = 364 | (1) Breast and cervical cancer early detection
(2) Importance of screening tests, nutrition (3) Skills training in breast self-exam (4) Obtaining services 12 wk; taught by peer educators (consejeras) Control = received “Community Living Skills” which is health information but not specific to cancer prevention and treatment |
2 y | Percentage of women who had breast and cervical cancer screening tests within the past y | Control = 7%
Experimental = 21% (p = 0.029) |
Type of intervention: multi-component | ||||||
Weber et al.14 | Urban poor
Rochester, New York |
N = 217 | (1) Reminder letter from MD
(2) Standardized case management protocol (another letter, phone call, home visits, logistical help in getting woman to mammography screening) 3 mo; conducted by community health educator Control = usual primary care plus reminder letter |
1 y | Mammography completion, mammography results, and incremental intervention cost effectiveness | Control = 14%
Experimental = 41% (p < 0.001) |
Burack et al.15 | Innercity women, Detroit. Innercity Health Department, HMO, or private hospital | N = 2725 | (1) MD and staff breast cancer control education
(2) Facilitated mammography appointment scheduling (3) Elimination of out-of-pocket patient cost for mammography (4) Mammography reminder form in medical record (5) Patient reminders for mammography Duration: approximately 2 h; MD-delivered messages and appointment, staff-placed reminders Control was items 1–3 above. |
1 y | Mammography rates | 18% increase from base-line to 12-mo follow-up (p = 0.348) |
Clover et al.16 | Lower income and educational attainment. Australians. 2 matched small and 2 matched large rural towns per trial (2 trials) | N = 16,884 | Two trials: trail 1 = media vs. community participation (CP); trial 2 = CP vs. Family Practitioner (FP)
CP (9–18 d duration): Formation of committee of representatives; promotion of screening service visit by community committee through local networks; and implementation of appointment system FP (duration, 2 mo): mammogram recommendation by MD; ancillary promotion including peer (MD) support, reminder in medical record Media: Newspaper and radio advertisements and other publicity Control was media group. |
3 mo | Mammography rate and various process measures | Trial 1: CP (both towns) = 63% and 51% vs. media = 34% and 34% (p < 0.01)
Trial 2: FP (one town) = 68% vs. CP = 51% (p < 0.01) FP (other town) = 68% vs. CP = 58% (p = 0.11) |
Champion et al.17 | Primarily African-American indigent patients in GM clinic. HMO for upper SES group; General Medicine clinic for lower SES group | N = 773 | (1) Tailored telephone counseling
(2) Tailored in-person counseling (3) Nontailored recommendation letter signed by PCP (4) Tailored telephone counseling plus nontailored MD recommendation letter (5) Tailored in-person counseling plus nontailored MD recommendation letter (5) Tailored in-person counseling plus nontailored MD recommendation letter Both sites included a free mammogram. One time (approx. 20–30 min); taught by graduate nurse reserch assistants Control (standard care) was general postcard reminder to schedule a mammogram. |
2, 4, 6 mo | Mammography rates | At 6 mo: usual care = 26%; phone = 41%; person = 51%; MD letter = 40%; phone and MD letter = 49%; person and MD letter = 55% (p < 0.001) |
Lauver et al.18 | Mostly white with sub-sample of African-Americans, Midwest | N = 728 | (1) Phone call with screening recommendations plus a nontailored pamphlet mailed after the phone call
(2) Phone call with screening recommendations plus tailored discussion (on beliefs, feelings, costs, and access) and tailored pamphlet mailed after the phone call One-time call and pamphlet mailing; advanced practice nurses made the calls Control: No message at all. |
3–6 mo and 13–16 mo | Mammography rates | 3–6 mo: control = 21% recomm + nontailored message = 29%; recomm + tailored message = 29%.
13–16 mo: control = 47%; recomm + nontailored message = 47%; recomm + tailored message = 57%. No p values provided |
Type of intervention: phone calls | ||||||
Crane et al.19 | Low income. Colorado low-income and minority neighborhoods | N = 3080 | 3 groups (2 experimental, 1 control):
(1) Outcall promoting mammography screening (2) Outcall preceded by a mailed invitation to participate in the program (3) Control received nothing Duration: not stated; trained callers did education and invitations |
6 mo and 2 y | Mammography rates | 6-mo follow-up: control = 21%; outcall only = 20%; advance invite and outcall = 21% (p > 0.05) |
Calle and Miracle-McMahill20 | Low- and middle-income women, Jacsonville and Orlando, Florida | N = 594 | Up to 3 phone calls peer educators made to 5 of the 10 friends they listed as candidates for mammography.
Control = nothing. Up to 3 phone calls over a 3-mo period; taught by peer educators |
2–8 mo after phone calls | Mammography rates | Control = 34%; experimental = 49% (p < 0.01) |
Type of intervention: video and print | ||||||
Schneider et al.21 | Low-income women, mostly African-American and Hispanic community health clinics and public housing developments | N = 752 | Women randomized to view one of four videos with corresponding flyer:
(1) Gain-framed message (positive outcomes of obtaining a mammogram) (2) Loss-framed message (dangers of not obtaining a mammogram) (3) Multiculturally targeted (4) Ethnically targeted No real control (groups just compared to one another). 10-min video plus questionnaire time; conducted by research assistants |
6 and 12 mo | Mammography adherence rate | At 6-mo follow-up: whites 3.04 times more likely to report receiving a mammogram when message was loss framed vs. gain framed (p < 0.01); Latinas 7.67 times more likely to report receiving a mammogram when message loss framed vs. gain framed (p < 0.001); no difference for AA (p > 0.10); overall, 1.81 OR (p < 0.01) |
Type of intervention: print only | ||||||
Newell et al.22 | Small town, low-income Australia small, rural towns | N = 47,989 | (1) Media campaign 10 d before booklets mailed
(2) Explanatory letter (3) Gender-specific better health booklet (4) Gender-specific better health diary Mailed booklets once Control = nothing |
3 and 12 mo | Papanicolaou test rate, mammography rates, skin operations | 10 sets of expected/observed ratios; combined (p = 0.73) |
Fox et al.23 | Elderly white, African-Americans and Hispanic women, California | N = 917 | Letter mailed to Medicare benficiaries notifying of Medicare-subsidized mammograms (plus other educational and referral information)
Control = no letter One-time letter mailed out; letter to participants |
2 y | Mammography rates | African-Americans OR = 1.97 (vs. control; p < 0.05) Hispanics OR = 2.33 (vs. control; p < 0.05) |
Simon et al.24 | Mostly African-Americans; 2 innercity health departments in Detroit | N = 1966 | 3 groups:
(1) Letter mailed to prompt MD visit (2) Letter mailed instructing participants to contact the mammography site directly to obtain a mammogram (3) No letter mailed = control Also, out-of-pocket costs eliminated and automatic reminder in patient record as part of another CDC intervention for all participants One-time letter mailed out |
1 y | Mammography rates | Site 1: letter to visit MD = 19%; letter to contract mammography site = 20%; control = 17% (p = 0.743).
Site 2: letter to visit MD = 11%; letter to contact mammography site = 14%; control = 11% (p = 0.376) |
Skinner et al.25 | African-Americans and whites, North Carolina | N = 435 | Tailored letter sent by FP of patient
Control = standard letter sent by FP of patient. One-time letter |
8 mo | Stage of adoption, mammography rates | All women: baseline = 64%; follow-up = 68%. For those due for screening at baseline having mammograms at follow-up: tailored = 44%; standard = 31% (p = 0.16) |
Segnan et al.26 | Lower-educational-level women in Italy: Turin, Italy | N = 8069 | 4 groups: (1) Personal invitation letter signed by the GP with a prefixed appointment date for a mammogram
(2) Open-ended personal invitation letter signed by the GP prompting women to contact the screening center within 3 wk to arrange for an appointment (3) Peronal invitation letter signed by the program coordinator with prefixed appointment for screening (4) Personal invitation letter with extended text focusing on the women’s health signed by the GP with a pre-fixed mammography appointment Group 1 used as reference group (no real control). One-time mailing (no one-on-one contact); letter sent to participants |
12 mo | Attendance at mammography appointment | At 12-mo follow-up: Grp 1: RR = 1; Grp 2: RR = 0.72 (CI, 0.67–0.78); Grp 3: RR = 0.88 (CI, 0.83–0.95); Grp 4: RR = 1.02 (CI, 0.95–1.10) |
SES indicates socioeconomic status; PCP, primary care physician; recomm, recommendations; AA, African-American; MD, medical doctor; RR, relative risk; OR, odds ratio; CI, confidence interval; GP, general practitioner; and FP, family practitioner.