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Cancer Epidemiol Biomarkers Prev. Author manuscript; available in PMC 2012 Aug 1.
Published in final edited form as:
PMCID: PMC3153589
NIHMSID: NIHMS302222
PMID: 21653645

Do Community Health Worker Interventions Improve Rates of Screening Mammography in the United States? A Systematic Review

Abstract

Background

Community health workers (CHWs) are lay individuals who are trained to serve as liaisons between members of their communities and healthcare providers and services.

Methods

A systematic review was conducted to synthesize evidence from all prospective controlled studies on effectiveness of CHW programs in improving screening mammography rates. Studies reported in English and conducted in the United States were included if they: (1) evaluated a CHW intervention designed to increase screening mammography rates in women 40 years of age or older without a history of breast cancer; (2) were a randomized controlled trial (RCT), case-controlled study, or quasi-experimental study; and (3) evaluated a CHW intervention outside of a hospital setting.

Results

Participation in a CHW intervention was associated with a statistically significant increase in receipt of screening mammography [Risk Ratio (RR):1.06 (favoring intervention); 95% Confidence Interval (CI:1.02, 1.11),p=0.003]. The effect remained when pooled data from only RCTs were included in meta-analysis (RR:1.07,95% CI:1.03,1.12,p=0.0005), but was not present using pooled data from only quasi-experimental studies (RR:1.03,95% CI:0.89,1.18,p=0.71). In RCTs, participants recruited from medical settings (RR:1.41,95% CI:1.09,1.82,p=0.008), programs conducted in urban settings (RR:1.23,95% CI:1.09,1.39,p=0.001), and programs where CHWs were matched to intervention participants on race or ethnicity (RR:1.58, 95%CI:1.29,1.93,p=0.0001) demonstrated stronger effects on increasing mammography screening rates.

Conclusions

CHW interventions are effective for increasing screening mammography in certain settings and populations.

Impact

CHW interventions are especially associated with improvements in rate of screening mammography in medical settings, urban settings, and in participants who are racially or ethnically concordant with the CHW.

Keywords: breast cancer, community health worker, mammography, systematic review, meta analysis

INTRODUCTION

In 2010, an estimated 207,090 women were diagnosed with breast cancer (BC) in the United States.(1) The U.S. Preventive Services Task Force recommends screening mammography every 2 years for women age 50 to 74 years, and recommends screening for women age 40 to 49 years be based on an individual’s risk factors.(2) The American Cancer Society recommends yearly mammography beginning at age 40.(3) Early detection of BC is associated with reductions in mortality and improvements in survival rates.(4, 5)

There are significant racial and socioeconomic disparities in BC mortality, survival rates, and cancer stage at diagnosis in the United States.(6-10) Women who are less likely to adhere to screening mammography guidelines include those who are: ethnic or racial minorities; lacking comprehensive health insurance or a usual source of medical care; non-English speakers; immigrants; living in rural areas; or socioeconomically disadvantaged.(11-19)

One model of BC screening promotion that has been implemented and evaluated frequently is the community health worker (CHW) model. CHWs are lay individuals trained to serve as liaisons between members of their communities and health care providers and services.(20) Historically, CHWs serve low-income, medically underserved, racial/ethnic minority, and hard-to-reach populations.(21)

Previous systematic reviews on the effectiveness of CHWs on increasing screening mammography have several limitations. These reviews combined mammography with other health behaviors,(22) combined CHW interventions with other mammography-enhancing intervention strategies,(23-25) and combined between-group studies (comparing CHW interventions to comparison group) and within-group studies (comparing mammography rates over time in a CHW intervention group),(26) making it difficult to draw conclusions about effectiveness of CHW interventions in improving screening mammography. To conclusively assess effect of CHW interventions in increasing screening mammography rates, we performed a systematic review. The objective was to synthesize and critically appraise available evidence on effectiveness of CHW interventions in increasing screening mammography rates compared to a control group in any population.

MATERIALS AND METHODS

A study protocol was developed clearly outlining a priori all stages of the systematic review process.

Search Strategy

We performed a comprehensive search of CINAHL, Medline, PsychInfo, and Web of Science databases for years 1980 through January 31, 2008. A broad search strategy was used to identify relevant articles and included 21 terms for CHW plus 5 BC terms to capture all studies evaluating CHW interventions to improve mammography screening. These terms included both MeSH terms and other identified key words.

Each search provided citations that were downloaded into an Endnote database.(27) After duplicate citations were removed, all titles and abstracts were reviewed by two study authors independently for their eligibility for inclusion. If a decision on inclusion was not made on initial review, the full text article was obtained. Reference lists of all eligible articles were also reviewed, and authors of the present paper were asked to provide any additional publications not captured by the search.

Inclusion Criteria

Studies published in English and conducted in the United States were eligible for inclusion if they: (1) evaluated a CHW intervention designed to increase screening mammography rates in women 40 years of age or older without a history of BC; (2) were a randomized controlled trial (RCT), case-controlled study, or quasi-experimental study; and (3) were studies in which the CHW intervention was delivered outside of a hospital. Studies were limited to those conducted in the United States because of vast differences between health systems in the United States and those in other English speaking countries. Since CHW interventions are known by many terms, a definition of CHW was created to differentiate CHW studies from other interventions: “any health care worker who is involved with carrying out the intervention but who does not necessarily have formal professional or paraprofessional education.” This definition is similar to other definitions in previous reviews evaluating CHW research.(22, 28)

Data Abstraction

The primary outcome variable, receipt of mammography, was abstracted from each article as it was reported prior to the CHW intervention (baseline) and following intervention (follow-up) for both participants who received CHW as well as comparison groups. Data were extracted for pre-specified sensitivity analyses on sample source (medical or community setting and urban or rural setting), description of intervention, components of intervention, and characteristics of CHWs. The following data were collected to assess methodological quality of research reported in each publication: generation of randomization sequence, matching of control to intervention participants in quasi-experimental studies, and use of intention-to-treat (ITT) analysis.

Data extraction was performed by two reviewers independently using a standardized data abstraction form. Any disagreements in data abstraction were resolved by consensus in collaboration with a third author. Data were entered into separate SPSS databases.(29) Using Graph Pad Software,(30) Kappa coefficients were calculated to assess agreement between the two raters on six study variables used in sensitivity analysis. Kappa coefficients calculated for six variables indicated agreement ranged from “moderate” (0.410) to “almost perfect agreement” (0.885).(31)

Statistical Analysis

Dichotomous data (i.e., number of participants who did and did not receive screening mammography in both intervention and comparison groups at follow-up) were used to calculate a risk ratio (RR), and summary results (RR) from each study were pooled under a random effects model. A formal statistical test for heterogeneity using an I2 test was performed.(32) The main study analyses were conducted using Review Manager.(32)

Because cluster or group randomized trials (CRTs) are frequently used in research on efficacy of CHWs, we explored the impact of various imputed values of intra-class correlation (ICC) on pooled estimates. ICC is the ‘similarity’ of individuals within clusters, such as clinics or communities. A CONSORT guideline pertaining to CRTs explicitly recommends statistical adjustments for cluster randomization be used in power calculations and analysis of primary outcomes, with reporting of ICC.(33) Not accounting for clustering in analysis of CRTs creates a ‘unit of analysis error’ when CRTs are combined with trials that randomized individuals in a meta-analysis. Correcting for clustering inflates variance of point estimates [RRs or odds ratios (ORs)] in individual CRTs, giving less weight to these studies in random effects meta-analysis.

A recent meta-analysis of enhanced care for depression concluded CRTs produced similar results to individually randomized trials. However, the analysis was based on relatively small values of ICC (ICC=0.02 and 0.05).(34) In contrast, a recent study reported ICC estimates in screening mammography CRTs to be as high as 0.2166.(35) A lack of adjustment for clustering tends to inflate treatment effects.(36) We also explored the effect of cluster imbalance on pooled results.

To perform these analyses, similarities between individuals within a cluster are measured by ICC. Given the average cluster size m, the design effect (DE), defined by

DE = 1 + (m − 1)ICC, 

measures effect on variance of an estimate of treatment effect attributed to clustering. The ICC-adjusted random effects meta-analysis was performed in the Bayesian setting due to ease of adjusting ICCs for an empirical prior distribution. Using Winbugs version 1.4.1.,(37, 38) adjustment of cluster size imbalance was applied to DE minimum variance weights corrected estimates based on the Pareto principle in which 80% of participants belong to 20% of clusters.(39) For each outcome, 5,000 burn-in simulations were used, with the additional 45,000 simulations to obtain OR estimates. A flat uniform distribution on 0-1 range has been recommended for priors of ICCs in case of absence of prior knowledge.(40) However, based on a recent study of ICC estimates for cancer screening outcomes,(35) unadjusted ICC estimates for mammography screening rates ranged from 0.0009 to 0.2166, so we adopted a conservative but informative empirical uniform prior on (0,0.5), for imputed values of ICC (ICC=0.05,0.1,0.2). The pooled results are reported as ORs with corresponding 95% credibility intervals.

RESULTS

Study Identification

The initial database search yielded 265 articles (Figure 1), of which 24 met inclusion criteria.(41-64) Of the 24 articles included in the systematic review (Table 1), 18 (75%)(41-47, 50, 52, 55-63) had extractable data. Three articles (41, 42, 62) provided data enabling calculation of multiple effect sizes. One study provided data on multiple interventions,(42) one study reported results in two different strata based on age,(41) and one study reported results separately by race and ethnicity.(62) Of the 24 included studies (Table 1), 14 were (58%) RCTs(41, 42, 44, 45, 50, 51, 53, 54, 56, 58, 60, 61, 63, 64) and 10 were quasi-experimental studies.(43, 46-49, 52, 55, 57, 59, 62)

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Flow Diagram of Literature Review Process for Identifying Studies Evaluating Use of Community Health Workers to Improve Screening Mammography Rates.

Table 1

Summary of Community Health Worker Interventions for Breast Cancer Screening by Ethnic/Target Group

First
Author/Year
Target PopulationCHW Number &
Characteristics
Length; Type of TrainingIntervention DescriptionControl
Description
African American
Earp,2002 46 Rural, African American
women 50+ years
-170 volunteer lay health
advisors

-4 paid community outreach
specialists (indigenous
community leaders)
-3–5 sessions, 10-12 hours
instruction; role playing, BC and
screening practices.
-2 community outreach activities per
month
-Lay health advisors conducted 2
weekly individual sessions
UC in
comparison
counties
Erwin, 1999 47 Rural, African American
women, Mississippi
River Delta, Arkansas.
7 African American BC
survivors
Training provided; interviewing
strategies, breast health education
-Church-based group about early
detection and screening
-Free mammogram vouchers
UC in
comparison
counties
Paskett,
1999 55
Predominately African-
American women 40+
years, low-income
housing, Winston-Salem,
North Carolina
(intervention) and
Greensboro, North
Carolina (control)
NDND-Educational sessions by lay health
educators
-Church program conducted by lay
health educator
UC in
comparison city
Sung,1997 60 Low-income, inner city
African American women
Lay health workers recruited
from National Black Women’s
Health Project
10 weeks; interviewing and health
education
-Two home visits, 1 booster session.
-Education about breast and cervical
cancer, Pap test and breast exam
video
-Reproductive health education
Cancer screening
educational
materials
West,2004 63 Rural, low-income
African American women
50-80
Indigenous African American
female health care workers.
Training provided; semi-structured
interview’s content, counseling
style
-Personalized reminder letters
followed by intensive phone
counseling
-Phone call included semi-structured
interview eliciting barriers,
facilitators to mammography
-Problem solving to overcome
barriers
-Provided phone numbers for
scheduling mammography
Eligible for a no-
cost
mammogram;
tailored letter
describing risk
for BC
Zhu,2002 64 Single African American
women 65+, living in
public housing
African American women
from same housing complex
-Four 3-hour sessions; BC,
screening practices, possible
barriers
-Home-based BC screening education
-Taught participants to overcome
barriers
-Brochures
Public housing
complexes, no
intervention
Hispanic/Latina
Fernandez,
2005 48
Hispanic farm workersLay health workersLay health workers given training
curriculum including teaching
guide (12 lessons)
-Individual and group intervention
sessions with lay health worker
-Education sessions included videos,
flip charts, discussions of breast and
cervical screening
Comparison
clinics, no
intervention
Navarro,
1995 53
Low-income Latinas, San
Diego, California
36 consejerasTraining provided; conducting
small group sessions on health
topics
-12 week, 90 minute group session
program
-Consejeras taught cancer prevention
with culturally-appropriate materials.
12-week
Community
Living Skills
program
Navarro,
1998 54
Latinas, San Diego,
California
36 consejerasTraining provided; following
consejera manual to conduct
weekly educational group sessions
12 week, group sessions on breast
and cervical cancer early detection
12-week
Community
Living Skills
program
Navarro,
2000 51
Latinas, San Diego,
California
36 consejerasTraining provided; conducting
small group sessions on breast and
cervical cancer screening
12 week group cancer screening
intervention following educational
materials
12-week
Community
Living Skills
program
Navarro,
2007 52
Low-income, low
acculturated Latinas, San
Diego, California
17 consejerasFive 2-hour sessions; 14 program
sessions, recruitment strategies,
role playing to lead sessions.
12 90 minute weekly group sessions
and 2 monthly sessions focusing on
breast and cervical cancer
Friends and/or
family (learning
partners) who
received
information from
class participants
Sauaia,
2007 57
Latinas, Colorado“Peer counselors”, 4 Catholic
churches, Denver, Colorado
(Promotoras)
Training provided-Bimonthly meetings after mass and
other church events
-Respected leader delivered homilies
addressing breast health at least twice
at each church
-1 to 3 home-based health groups per
church
-Newsletter
209 Catholic
churches sent:
--Letter
describing project
-Bilingual printed
materials
- display unit
-short messages
for delivery at
pulpit and church
bulletin
Suarez,
1997 59
Low-income Mexican
American women 40+,
Texas
Mexican-American
volunteers, Spanish speakers
ND- Verbal and newsletter cancer-
screening education
Comparison
community, no
intervention
Welsh, 2005 62 Latinas, Colorado“Peer counselors”, 4 Catholic
churches, Denver, Colorado
Training provided; standardized
curriculum
-Monthly visits to each church
-Promotoras approached peers after
Sunday masses and during church
fairs, other church related activities
-Promotoras facilitated home-based
platicas (health groups) about breast
health
209 churches
mailed:
-introductory
letter
-NCI BC
screening
educational
materials
-display unit
-messages to be
delivered at
pulpit or church
bulletins
Asian American/Pacific Islander
Bird,1998 43 Vietnamese-American
women 18+, California
-16 indigenous lay health
worker neighborhood leaders

-68 neighborhood assistants
-Training provided; delivery of
prevention education

-Provided training manual
-Small-group home-based educational
sessions
- Focused on general prevention,
routine checkups, breast and cervical
cancer screening
-Flip chart and facilitated discussion
Comparison city,
no intervention
Gotay, 2000 49 Native Hawaiian women,
18+, Oahu, Hawaii
Native-Hawaiian lay health
educators
-Training provided; breast,
cervical cancer screening.
-Small-group, traditional Hawaiian
“talk-story” methods
-Free mammogram and Pap test
vouchers
-Audiovisual aids used
Comparison area,
no intervention
Other Populations
Allen, 2001 41 Women who work in
sites with Service
Employees International
Union representation
80 female employee peer
health advisors
-16 hours; cancer screening
guidelines, epidemiology, early
detection methods, community
resources
- 16-month program, 6 small group
discussions, role modeling individual
outreach, counseling, social support
focused on screening.
-2 worksite-wide campaigns
Workshop at
study conclusion
Andersen,
2000 42
Women 50-80, rural
Washington
Women from participating
communities
Training provided-Telephone intervention using barrier-
specific counseling to promote
mammography
- Brochures
Control
communities, no
intervention
Calle,1994 44 African American and
White women 40+
80 ACS volunteer peer
educators, Jacksonville,
Orlando, Florida
-Half-day; mammography and
mammography facilities, breast
health guidelines, intervention
process, intervention practice
sessions, BC fact sheet, resource
guide for mammography centers
-Phone intervention emphasized
importance of regular mammograms
-Set and confirmed date appointment
would be scheduled and completed.
No intervention
Duan, 2000 45 African-American,
Latina, and White women
50-80, churches in Los
Angeles County,
California
Part-time peer counselorsND-Peer counselors provided telephone
barrier-focused mammography
counseling annually for 2 years
- Women provided information about
risk status, BC prevalence rates,
encouraged to ask physician for
referral
Churches, no
intervention
Margolis,
1998 50
African American, Native
American, and White
women 40+, non-
primary-care outpatient
clinics
Low-income, lay female
senior aides (lay health
advisers)
-One month; peer education
techniques, breast health,
communication skills, cultural
diversity, principles of
randomization, adherence to
research protocol
-Appointments scheduled with female
nurse practitioner for those due for
screening
-Women who declined screening
encouraged to follow up with health
care provider
-Women who were up-to-date were
encouraged to get regular screening
and offered mailed reminder
UC
Paskett,
2006 56
African-American,
Native American, and
White women from rural
areas and low-income
background.
2 Native American and
African American lay health
advisors
1 week plus follow-up sessions;
breast health, practice on breast
models, resource manual, practice
intervention sessions
- 3 in-person individual visits, follow-
up phone calls, mailings over 9-12
months.
-Educational materials about cancer
risk, overcoming barriers to
mammography
-Discussion of mammography, BC,
breast self-exam, scheduling
mammography
-2 postcard mailings addressing
women’s readiness to change
Letter and NCI
brochure about
cervical cancer
screening; after
follow up, letter
and NCI
brochure about
mammography
Slater, 1998 58 Low-income women,
public housing
ACS and resident volunteers-Training provided; volunteers
provided intervention scripts and
protocols.
60 minute “Friend to Friend”
program with health professional
speaker, small group discussions,
assistance in obtaining mammogram,
mammogram reminder
-Free mammograms
-Assistance with appointment
scheduling
-Free transportation
Delayed
intervention
Weber,
1997 61
African-American,
Latina, and White low-
income, urban women
52-77, 6 primary care
facilities Rochester, New
York
6 women from local
community (4 African
American, 1 Hispanic, 1
White)
ND-1 personalized mammography
reminder letter from physician
-1 low literacy mammography
reminder letter from community
health educator
-Patient education and reminders
-Identification and removal of
barriers
1 personalized
mammography
reminder letter
from physician
plus usual care

ND=not described; BC=breast cancer; UC=usual care

Outcomes of CHW Intervention on Receipt of Screening Mammography

All Trials

Most studies (75%) collected data on screening mammography use via self-report interviews or surveys.(41-47, 49, 51-55, 58-60, 63, 64) Other studies collected mammography data through chart reviews,(56, 61) health insurance claims data,(57, 62) or through a combination of self report and chart reviews.(50) The most common time frame in which screening mammography was collected was one year(45, 49-51, 54-56, 64) and two years,(41, 46, 49, 50, 55, 57, 59, 61, 62, 64) with two studies reporting time frames in between one and two years.(43, 58) Several studies evaluated the CHW intervention’s effect on lifetime receipt of screening mammography.(43, 47, 49, 52, 53)

Of 18 studies with sufficient data to evaluate receipt of screening mammography in the meta-analysis, 10 (56%) were RCTs,(41, 42, 44, 45, 50, 56, 58, 60, 61, 63) and 8 were quasi-experimental.(43, 46, 47, 52, 55, 59, 62) The pooled RR of obtaining screening mammography based on 28,836 mammography events (9,342 intervention;19,494 control) was 1.06 (95% CI:1.02,1.11,p=0.003), indicating a statistically significant effect of CHW interventions on improving rate of screening mammography (Figure 2). However, there was a statistically significant heterogeneity among included studies (I2=80%;p<0.00001).

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Forest plot of comparison: 1 Intervention versus no Intervention, outcome: 1.1 Receipt of mammography.

Quasi-Experimental Studies

The pooled RR of obtaining screening mammography based on 14,677 mammography events (2,235 intervention; 12,442 control) in 8 quasi-experimental studies (9 comparisons)(43, 46, 47, 52, 55, 57, 59, 62) was 1.03 (95% CI:0.89,1.18,p=0.71, Figure 2), indicating no effect of CHW interventions on rate of screening mammography. There was a statistically significant heterogeneity among included studies (I2= 84%;p<0.00001).

Randomized Controlled Trials

The pooled RR of obtaining screening mammography based on 14,159 mammography events (7,107 intervention;7,052 control) in 10 RCTs (14 comparisons)(41, 42, 44, 45, 50, 56, 58, 60, 61, 63) was 1.07 (95% CI:1.03,1.12,p=0.0005, Figure 2) indicating a statistically significant effect of CHW interventions on improving rate of screening mammography. There was a statistically significant heterogeneity among included trials (I2=78%;p<0.00001).

Sensitivity Analyses

To assess robustness of our findings and account for observed heterogeneity among included studies, we performed additional analyses. Results from quasi-experimental studies varied both in magnitude and direction of effect. Therefore, quasi-experimental studies were excluded from further sensitivity analysis. Sensitivity analysis focused on the following factors that may be associated with success of CHW interventions in the 10 RCTs: methodological quality (cluster versus individual randomization, intent-to-treat analysis), choice of control intervention, method of measuring study outcome (self-report versus chart review), setting of participant recruitment (medical versus community and rural versus urban), number of CHW intervention components, and characteristics of CHWs.

Methodological Quality

A critical appraisal of methodological quality of all studies was conducted, including information about study design and analyses (Table 2).

Table 2

Randomized Controlled Trial Characteristics and Study Quality

First
Author,
Year
Number
of
Participa
nts,
Baseline
Mean Age
CHW
Intervention
Participants
(years)
Mean
Age
Control
Particip
ants
(years)
Length of
Interventi
on
(months)
Time
from
Baseline
to Follow
Up
(months)
Generation of Randomization
Sequence
Power
Analysis
Described
Drop Outs
Participants
Selected
Due to
Lack of
Adherence
Definition and
Measurement of
Mammography
Outcome
Intent to
Treat
Analysis
Conducted
Allen
2001 41
2943NDND1630Work sites blocked on size of
worksite and type of agency to
create 4 blocks. Within each
block random-number
generator assigned work sites to
each condition.
NDYesNoPast 12-24
months;self-
report
No
Anderson
2000 42
8907NDND243640 communities assigned to 10
blocks of 4 communities for
block randomization. Each
community within one of ten
blocks randomly assigned to a
study arm using one of 24
permutation patterns of 4 for
each block.
NDYesNoWithin 24
months of
follow up
interview; self-
report
No
Calle
1994 44
738NDND68American Cancer Society
volunteers each generated list
of 10 women. Lists collected
and women randomized to
either intervention or control
groups.
NDYesNoSince start of
intervention;
self-report
No
Duan
2000 45
1113NDND241230 churches matched to 12
blocks and randomized half the
churches in each block to peer
counseling and other half to
control. Matching variables
included race/ethnicity,
membership size, resources,
and denomination.
NDYesNoPast 12
months;self-
report
No
Margolis 1998 50 165854.555.91 day plus
mailed
reminders
12+Patients assigned to
intervention or usual care
according to whether medical
record number was odd or even
NDYesNo12 or 24 months
(Depending on
age);self-report
plus chart
review
Yes
Paskett
2006 56
89754.555.712-1412-14Stratified selection, blocked
randomization by race and
clinic, performed by study
statistician
YesYesYesPast 12 months;
chart review
No
Slater
1998 58
42768.967.4241241 public housing high rise
buildings randomized to
treatment or control groups.
Buildings stratified based on
number of women per building
who were 40 years and older.
NDYesNoWithin 15
months of
intervention;
self-report
No
Sung
1997 60
321NDND1117Participants randomly assigned
to intervention or control
groups
NDYesNoDepended on
age (within 4
years if 35-39;
within three
years if 40-49;
yearly if older
than 49); self-
report
No
Weber
1997 61
376636347Patients randomized to one of
two groups. Randomization
stratified by practice site.
YesYesYesDuring
intervention
period; chart
review
Yes
West
2004 63
320NDND1 day6Envelope containing
randomization group opened by
CHW after completing
telephone interview.
NDYesYesPast 6 months;
self-report
Yes

ND =Not described

Unit of Randomization

Six RCTs (60%) randomized individual participants to either CHW intervention or comparison group(44, 50, 56, 60, 61, 63) whereas in the other 4, unit of randomization was a cluster or group to which participants belonged, such as a work site or church.(41, 42, 45, 58) None of the CRTs reported power calculations or whether they were adjusted for clustering effects. Three trials(41, 42, 45) incorporated clustering effects in the main statistical analysis, but did not report estimated ICC values. The fourth trial(58) reported the value of ICC (−0.0015), which was appropriately assumed to indicate no design effect for the primary outcome measure, and data were analyzed at individual rather than cluster level.

In RCTs that randomized individual participants, CHW intervention was associated with a statistically significant increase in screening mammography (RR:1.39,95% CI:1.13, 1.70,p=0.002). In RCTs that randomized groups to treatment condition, CHW interventions were not associated with increases in screening mammography (RR:1.02, 95% CI:1.00,1.04,p=0.05). There was statistically significant heterogeneity among included trials that used individuals as unit of randomization (I2=80%; p=0.0002). RCTs that used groups as unit of randomization did not demonstrate heterogeneity (I2=27%;p=0.22). Compared with unadjusted estimates, OR estimates adjusted for ICC and imbalance were statistically significant, indicating that CHWs improve rates of screening mammography. However, adjusted ORs were closer to the point of no effect (Figure 3).

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Effect of Intra-Class Correlation Adjustment on Odds Ratio Estimates.

Intent-to-Treat Analysis

Pooled data from 3 RCTs which performed ITT analysis(50, 61, 63) indicate that a CHW intervention was not associated with increases in screening mammography (RR:1.48, 95% CI:0.85,2.59,p=0.17). In 7 studies (11 comparisons) that did not perform ITT analysis,(41, 42, 44, 45, 56, 58, 60) a CHW intervention was associated with increases in screening mammography (RR:1.06, 95% CI:1.02,1.10,p=0.004). Both studies that conducted ITT analysis (I2=82%;p=0.004) and studies that did not conduct ITT analysis (I2=77%;p<0.00001) demonstrated significant heterogeneity.

Choice of Control Intervention

RCTs comparing CHW interventions to routine care (7 trials involving 11 comparisons due to multiple intervention groups or different comparisons by age)(41, 42, 44, 45, 50, 58, 60) were associated with a statistically significant increase in screening mammography (RR:1.04,95% CI:1.01,1.07,p=0.007). The only RCT employing health education as control(56) compared with CHW also showed a statistically significant benefit with use of a CHW intervention (RR:1.56;95% CI:1.29,1.89;p<0.00001). The pooled RR from 2 RCTs that used mammography reminders as control(61, 63) showed a statistically non-significant difference compared with CHW (RR:1.82,95% CI:0.83,4.01,p=0.14). However, there was statistically significant heterogeneity among included trials that used routine care (I2=65%;p=0.002) or mammography reminders (I2=73%;p=0.05) as control.

Method of Measuring Study Outcome

There was significant variation in measurement of study outcome, receipt of mammography, which limited sensitivity analyses that could be conducted on length of time in which mammography was measured (Table 2). The interval of measurement reported in the RCTs ranged from receipt of mammography in the past 6 months to receipt of mammography in the past 3 years. Seven of 10 RCTs measured screening mammography outcome using participant self-report.(41, 42, 44, 45, 58, 60, 63) Two studies measured screening mammography with chart review,(56, 61) and one combined self-report and a review of patients’ medical records.(50) CHW interventions were effective at increasing screening mammography when mammography was measured by chart review alone (RR:1.93,95% CI:1.15,3.23,p=0.01) or by chart review plus self report (RR:1.10,95% CI:1.02,1.19,p=0.009). The pooled RR for the 7 RCTs (11 comparisons) which measured mammography using self report indicated CHW interventions were not associated with increases in screening mammography (RR:1.03,95% CI:1.00,1.06,p=0.02). There was statistically significant heterogeneity among included trials that used chart review alone (I2=73%;p=0.06) and self-report alone (I2=59%;p=0.007) to measure the mammography outcome.

Study Setting

Medical versus Community Setting

Five studies recruited participants from a medical setting,(50, 56, 60, 61, 63) and 4 (7 comparisons) recruited participants from a community setting (e.g., church, neighborhood).(42, 44, 45, 58) In one study, participants were recruited from a work setting(41) which was not coded as either a community or medical setting, and was therefore excluded from sensitivity analysis. CHWs were effective in increasing rates of screening mammography in RCTs recruiting participants from a medical setting (RR:1.41,95% CI:1.09,1.82,p=0.008) or community setting (RR:1.05,95% CI:1.01,1.10,p=0.02). There was statistically significant heterogeneity among included trials for both subgroups (medical setting:I2=81%;p=0.0003; community setting:I2=70%;p=0.003).

Urban versus Rural Setting

Six RCTs were conducted in an urban setting,(44, 45, 50, 58, 60, 61) 3 (7 comparisons) in a rural setting,(42, 56, 63) and one(41) (2 comparisons) did not report information on setting. Studies performed in an urban area showed (RR:1.23,95% CI:1.09,1.39,p=0.001) a statistically significant benefit associated with CHW compared with control. Pooled results for studies performed in a rural setting (RR:1.05,95% CI:1.00,1.11,p=0.06) or unknown setting (RR:1.01,95% CI:0.98,1.03,p=0.69) did not demonstrate a benefit associated with CHW compared with control. There was statistically significant heterogeneity among the subgroup of studies performed in an urban (I2=74%;p=0.002) or rural setting (I2=78%;p=0.0003), but not the two included comparisons for the study that did not report setting (I2=0%;p=0.75).

Number of Intervention Components

The CHWs were described using several different terms, such as indigenous community leaders,(46) consejeras,(51-54) promotoras,(57) lay health advisors,(46, 50, 56) lay health educators,(49, 55, 64) community health educators,(61) lay health workers,(43, 60) peer health advisors,(41) peer counselors,(45) community health care workers,(63) and volunteers.(42, 44, 58, 59) The most commonly reported components of CHW interventions included health education,(41-43, 45-49, 51-54, 56, 57, 59-64) referrals to health care,(42, 43, 45, 47, 48, 50, 58, 59, 63) appointment scheduling, (48, 50, 56, 61) and vouchers, free mammograms, or lower cost mammograms.(46-49, 63) Less common intervention components included emotional or social support,(41, 61) financial paperwork,(48, 61) communication with the health care team,(61) mailed reminders,(50, 61) and child care.(61) Sensitivity analysis showed a statistically significant increase in receipt of screening mammography associated with increase in number of interventions. RCTs where CHW interventions included 1 intervention component(44, 45, 60) (RR:1.23,95% CI:1.00,1.52,p=0.05) or 2 intervention components(41, 42, 56, 58) (RR:1.03,95% CI:1.00,1.07;p=0.06) were associated with a statistically non-significant increase in rates of screening mammography. Interventions that included 3 intervention components(50, 63) (RR:1.10,95% CI:1.03,1.19,p=0.008) or more than 3 intervention components (61) (RR:2.67,95% CI:1.59,4.48,p=0.0002) were associated with a statistically significant increase in rates of mammography. There was statistically significant heterogeneity among included RCTs in subgroups where CHW used 1 (I2=75%;p=0.02) or 2 intervention components (I2=74%;p=0.0004). There was a statistically non-significant heterogeneity among included RCTs in the subgroup with 3 CHW intervention components (I2=0%;p=0.81).

Racial or Ethnic Concordance of CHW and Target Population

The studies reviewed targeted a number of different populations. Ninety-two percent of the studies included ethnic or racial minority participants or focused on low-income populations. Pooled results from RCTs that reported matching CHW and target population by race or ethnicity(44, 56, 61, 63) (RR:1.58,95% CI:1.29,1.93,p<0.0001) and that did not report matching CHW and target population by race or ethnicity(41, 42, 45, 50, 58, 60) (RR:1.03,95% CI:1.01,1.05,p=0.02) showed a statistically significant improvement in adherence to screening mammography, however, the effect was stronger for the RCTs that matched CHWs to participants by race and ethnicity. There was not statistically significant heterogeneity among either subgroup of studies (concordant:I2=45%;p=0.14; not concordant:I2=45%;p=0.06).

DISCUSSION

The result from this meta-analysis of 18 studies enrolling a total of 26,660 participants indicates CHW interventions are associated with a statistically significant increase in rates of screening mammography, but tend to have stronger effects in specific settings and study designs and when participants and CHWs were similar ethnically or racially. When RCTs were compared to quasi-experimental studies, the significant increase in screening mammography rates due to CHW interventions was observed in RCTs, but not in quasi-experimental studies. In RCTs, all studies demonstrated either a neutral (intervention neither increased nor decreased mammography rates) or positive intervention effect (intervention increased mammography rates), indicating CHWs were more effective than control in improving screening mammography rates. In quasi-experimental studies, direction of intervention effects was both positive and negative. These findings point out to inherent biases associated with observational study designs. Overall, there was significant heterogeneity in studies, with varying populations, varying lengths of intervention, varying lengths of follow-up after intervention, and varying time frames for the mammography outcome. Imputing different values of ICC had minimal effect on the distribution of point estimates of ORs or credibility intervals. So, there was little impact of similarity of different clusters (e.g., clinics) as a result of using a CRT design on overall effectiveness of CHW interventions on screening mammography.

Overall, our findings are similar to results of previous studies.(21, 65) Results of the present study are also similar to findings of a recent systematic review (26) which found a subset of CHW interventions was associated with significantly greater screening mammography utilization rates when compared to controls or other interventions (mail, print, minimal CHW). Our study improves on this recent review by providing a meta-analysis of all studies evaluating impact of CHWs on screening mammography. In addition, through sensitivity analyses of data from RCTs, the present study provides information regarding specific situations where CHW interventions are most likely to be beneficial (interventions conducted in urban settings, recruitment of participants from medical settings, measuring mammography outcome using a chart review, CHW interventions with 3 or more components, and interventions where CHW and patients are racially or ethnically concordant). The findings of our study differ from those of Lewin,(22) who found no beneficial effect (RR:1.05, 95% CI: 0.99,1.12,p=0.10) of CHW interventions on screening mammography based on a meta-analysis of 4 RCTs conducted internationally. While our analysis includes 3 of the 4 studies reported by Lewin,(22) our analysis also includes twice as many RCTs as well as quasi-experimental studies. Thus, our results came from a larger pool of data that may not be as strongly influenced by results of one individual study.

A lack of information reported in articles did not allow for detailed sensitivity analysis of methodological study quality. Sensitivity analysis comparing unit of randomization indicates CRTs of CHW interventions did not lead to increased mammography rates, whereas studies that randomized individuals were associated with a significant increase in mammography. Additionally, there was no significant increase in mammography screening in 3 studies that utilized ITT analysis to evaluate a CHW intervention,(50, 61, 63) but there was a significant increase in studies without ITT analysis. This lack of intervention effect may be related to smaller pooled sample size of the 3 studies (n=2019) or may suggest possible biases favoring intervention effect in studies that used per-protocol analyses, rather than ITT.(66)

CHW interventions were associated with increases in rates of screening mammography in studies with routine care or health education, but not in studies with mammography reminders. Screening reminders may exert a strong effect on mammography rates, as noted by others.(67, 68) Most RCTs reviewed included mammography referrals, reminders, or appointment scheduling as one CHW intervention component.(42, 44, 45, 50, 56, 58, 61, 63) This finding points to the need to determine components of CHW interventions most strongly associated with increases in screening mammography in order to improve efficiency of CHW programs.

Both community and medical settings of recruitment were associated with increases in screening mammography related to a CHW intervention, but the effect was stronger in participants recruited from a medical setting. Connecting patients to a medical setting is important in designing a CHW program as establishing a usual source of care is a known predictor of mammography screening.(16, 69) In addition, CHW interventions that took place in an urban setting were associated with screening mammography increases, whereas CHW interventions conducted in rural settings were not. These differences may reflect difficulties in obtaining a mammogram in a rural area.(19)

RCTs that delivered at least 3 types of interventions were associated with increases in screening mammography. These findings concur with previous findings(24) indicating interventions with multiple intervention components were associated with stronger increases in screening mammography rates. While the studies reviewed tended to focus or include historically or medically underserved populations, the RCTs that reported concordance between participants and CHWs on race or ethnicity indicated a stronger CHW intervention effect on screening mammography than studies where race and ethnic concordance was not described or performed. In contrast, a previous systematic review found concordance between physicians’ and patients’ race or ethnicity was not associated with improved health outcomes or patients’ utilization of health care.(70) Sensitivity analyses could not be conducted to evaluate differences in effectiveness of CHW interventions by different population groups because the majority of the RCTs targeted multiple underserved populations. Thus, there was no way to categorize them in a meaningful way for comparisons.

There are several limitations to this systematic review and meta-analysis. The study may be biased as it included only published peer-reviewed articles. Although unpublished works were eligible for inclusion in the review, none met inclusion criteria. This review was limited to studies published in English and implemented in the United States. Thus, meta-analysis results may not generalize to countries providing better or worse access to mammography screening services. In addition, sensitivity analyses were based on a small number of RCTs and should be interpreted with caution. The systematic review is also limited by reporting of data in original articles. Several sensitivity analyses could not be conducted due to significant variability in populations, interventions, and study designs reported. This variability is expected in the context of conducting research on interventions designed to meet local needs of various populations and under different breast screening guidelines in place throughout the years, but variability makes it difficult to combine data into meaningful categories.

The findings have significant implications for public health practice by indicating CHW interventions are associated with improvements in rate of one time screening mammography, especially in medical settings, urban settings, and in participants who are racially or ethnically concordant with the CHW. However, as mammography is a behavior that must be repeated multiple times, there is still much that is unknown regarding efficacy of CHW interventions in increasing repeated BC screening. A recent systematic review and meta-analysis of the effectiveness of various types of interventions designed to promote repeat BC screening found studies that utilized screening reminders only and studies that used more intensive interventions (including CHWs) were both associated with increases in repeat mammography.(68) Future research should evaluate whether CHW interventions are associated with repeat mammography screening and initiation of mammography screening. Future systematic reviews are necessary to compare CHW interventions to other mammography promoting interventions, such as media interventions.(71) In addition, future systematic reviews should evaluate whether CHW interventions are associated with other cancer screening behaviors. Finally, future research should be conducted to definitively determine which participants and populations benefit most from CHW interventions and why.

ACKNOWLEDGEMENTS

GRANT SUPPORT This work was supported by a training grant from the National Cancer Institute at the National Institutes of Health (R25CA090314, Paul Jacobsen, Principal Investigator) and by a grant from the National Cancer Institute (NCI), through its Center to Reduce Cancer Health Disparities, National Institutes of Health, Department of Health and Human Services (UO1 CA 117281-01, Richard G. Roetzheim, Principal Investigator).

Footnotes

This study was presented at the Third AACR Conference on The Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved on October 1, 2010.

The authors have no financial disclosures.

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