Lessons from a Community Health Worker Home-visiting Program to Reduce Infant Mortality Among Black Mothers in Ohio
Christine M. Swoboda1*, Ann Scheck McAlearney1, Terri Menser2, Cynthia J. Sieck1, Jennifer L. Hefner1, Daniel M. Walker1, Timothy R. Huerta1
1Department of Family Medicine, The Ohio State
University, Columbus, USA
2Center for Outcomes Research, Houston Methodist Research
Institute, Houston, USA
*Corresponding author: Christine M. Swoboda, Department of Family Medicine,
The Ohio State University, Columbus, USA. Tel: +1614-366-8897;
Email: Christine.Swoboda@osumc.edu
Received Date: 22 December, 2018; Accepted Date: 01
February, 2019; Published Date: 08 February, 2019
Citation: Swoboda CM, McAlearney AS, Menser T, Sieck
CJ, Hefner JL, et al. (2019) Lessons from a Community Health Worker Home-visiting Program to Reduce
Infant Mortality Among Black Mothers in Ohio. J Community Med Public
Health 3: 151. DOI:
10.29011/2577-2228.100051
The
Ohio Infant Mortality Reduction Initiative (OIMRI) aims to reduce infant
mortality rates among black infants in Ohio by employing community health
workers (CHWs) to conduct home visits. At these home visits, CHW activities
include: referring mothers to health and social services, educating mothers,
giving mothers needed supplies, and providing social support. This study uses
participant self-report data collected by CHWs from 2010 to 2015 and interviews
with county-level program managers from 14 counties in Ohio. Program data and
interviews were used to describe ways clients were recruited, client
gestational age at enrollment and start of prenatal care, number of prenatal
care visits, ways that OIMRI helps facilitate prenatal care, and barriers to
staying in the program. Findings indicate that the earlier participants were
recruited into OIMRI, the more prenatal care visits they attended, which may
relate to whether barriers like transportation and poor/inconsistent housing
were addressed. Programs like OIMRI may help reduce risk factors for infant
mortality by improving the uptake of prenatal care.
Keywords: Community Health Workers; Home
Visiting; Infant Mortality; Maternal-Child Health Services; Prenatal Care
1. Introduction
Infant mortality rates in many areas of the United States are
higher than rates in other high-income countries [1]. There is
currently a national effort to reduce the Infant Mortality Rate (IMR) with a
specific focus on the IMR disparity that exists between black and white
babies [2]. Across the U.S., the main causes of infant death include
congenital malformations, extremely preterm birth, maternal and birth
complications, Sudden Infant Death Syndrome (SIDS), and
accidents [3]. Risk factors for infant death include late or
inadequate prenatal care, low income, stress, inadequate housing, and many
chronic conditions, but black mothers disproportionately experience many
of these risk factors [4-7]. Moreover, several of these risk factors
compound, as poverty, unemployment, unreliable transportation, and low
socio-economic status are also barriers to prenatal care [6,8].
Ohio, in particular, has fared poorly in birth outcomes, ranking
40 out of 50 states in overall IMR in 2017 [9]. Importantly,
while the birth rate in Ohio has remained stable since
2010 [10], the IMR has increased for black infants each year from
2012-2016 [11]. In addition, the 2016 IMR for black babies
neared three times that of white babies with rates of 15.2 and 5.8 per
thousand, respectively (Ohio Department of Health, 2017a). Given the disparity
in birth outcomes and the known risk factors, the Ohio Department of Health
(ODH) created the Ohio Infant Mortality Reduction Initiative (OIMRI) in 1994, a
program that provides support to high-risk pregnant black women in 14 Ohio
counties with high IMRs. With OIMRI, a trained and certified Community Health
Worker (CHW) who is “a frontline public health worker who is a trusted member
of and/or has an unusually close understanding of the community served,” [12]. Conducts
home visits to expectant mo Dixon thers to provide education,
support, and referrals to services and healthcare [13]. Recruitment
in the home setting allows the program to target at-risk mothers (e.g., those
with health problems, poverty, lack of resources), in addition to enabling
identification of environmental risk factors that may otherwise be
overlooked [14].
Outside Ohio, other programs have provided home visits
conducted by CHWs to provide more convenient care to expectant mothers [15]. Yet
despite the evidence that CHW-led interventions are effective at addressing
infant mortality risk factors, there is a lack of research about the tactics
that CHWs can use to recruit and retain participants in these programs, as well
as scant information about the perceived benefits and barriers to program
participation and continuance. Such efforts are essential to the success
of home visit programs aimed at intervening on infant mortality related risk
factors as it is imperative to identify and enroll women early in their
pregnancy as well as to provide support throughout pregnancy and the first year
of the child’s life [16,17].
Given the uncertainty around best practices relating to
recruitment by CHWs, this study aims to provide insight into the tactics and
processes used by CHWs to promote recruitment. This case study details the
efforts of the CHWs in the OIMRI program to recruit and retain clients and
enroll them in prenatal care, as well as describing benefits of and barriers to
program retention. We present data on program enrollment, methods of client
recruitment and retention, timing of client recruitment, prenatal care
initiation and adequacy, and barriers to program retention to evaluate the
effectiveness of the OIMRI program. Results of this research detailing the
lessons learned from the OIMRI program can inform other CHW-led infant
mortality reduction efforts and increase the likelihood of success for such
programs.
2. Methods
2.1. The Ohio Infant Mortality Reduction Initiative (OIMRI)
The OIMRI program was originally established in 1994 to address
poor birth outcomes among black mothers and infants in Ohio. OIMRI utilizes
CHWs that perform home visits to high-risk pregnant black women in 14 Ohio
counties starting at program enrollment and continuing through the first year
of their child’s life. Visits occur on a weekly to monthly basis, depending on
the needs of the mother, and are conducted at either the mother’s home or
another agreed-upon location. At the first home visit, the CHW assesses risk
factors, tries to meet the most immediate needs of the pregnant woman, and
collects intake data. The CHWs also collect data at the first home visit after
the birth of the child, and at program exit. Data from these data collection
forms are combined with a caseload analysis report completed by program
supervisors regarding the caseload of each CHW to form a complete OIMRI
dataset.
2.2. Data Sources
Data from two sources were used in this study: the OIMRI program
dataset and interviews with OIMRI county-level program managers. The OIMRI
program dataset was provided by the Ohio Department of Health (ODH) and had
data through the middle of 2016; only full years were used and the sampling
frame was limited to 2010-2015. Data for this study was taken from reports
completed at program intake (intake report) and at the first home visit after
the birth of the infant (birth outcome report). The intake report includes the
intake date, demographic information, estimated weeks of gestation at OIMRI
intake, and recruitment method; the birth outcome report includes data on weeks
of gestation at the start of prenatal care and number of prenatal care visits
Telephone interviews were held with 13 program managers at each
county site, in addition to one interview with a program administrator at the
Ohio Department of Health (ODH). We used a semi-structured interview guide to
conduct interviews. In total, we conducted 14 interviews with program managers
and ODH employees, lasting 45-60 minutes each. All interviews were audio recorded
and transcribed to permit rigorous qualitative analysis.Data on race/ethnicity,
estimated gestational age at enrollment in OIMRI and gestational age at
initiation of prenatal care, number of prenatal visits, and recruitment source
was extracted from the OIMRI dataset. We chose the gestational age at
initiation and number of prenatal visits as the primary indicators of adequacy
of prenatal care due to the relevance to the population of interest. Standard
measures of prenatal care adequacy, such as the Kotelchuck index, are
problematic in populations that have high rates of preterm birth and prenatal
care inadequacy [18]. Separating the measures of prenatal care
provides a more detailed description of the care received. Clients
estimated their gestational week as part of program intake. As a measure of the
timeliness of prenatal care, clients were asked to estimate their gestational
age when prenatal care started based on their circumstances or on information
provided by a clinician. Additionally, CHWs recorded the method of recruitment
for each client at intake based on self-report of how the client learned about
the program. The total number of prenatal care visits can differ appropriately
based on the needs of the mother and baby, but the standard prenatal care
schedule in the United States is 11-15 visits, with more for high-risk
pregnancies [19]. Using this threshold to guide our analysis, the
total number of prenatal care visits that OIMRI mothers attended was
categorized as 0 visits, 1-4 visits, 5-8 visits, 9-12 visits, and 13 visits or
more using the OIMRI dataset. Interview data added context to this study about
the methods of program recruitment as well as insight about the benefits of and
barriers to OIMRI participation.
2.3. Analysis
For the quantitative analysis, a pairwise deletion approach was
used; all available data was analyzed. Chi-square tests were used to
assess differences in the number of prenatal care visits by trimester of
program enrollment. Values are considered statistically significant at the
p<0.05 level.
All quantitative analyses were performed using Stata version 14
(2015, Stata Corp LP, College Station, TX). Where appropriate we also include
interviewee comments to provide context for the quantitative findings
Analyses of qualitative data used constant comparative and
thematic analysis [7]. First, a preliminary coding dictionary was
created based on the topics addressed in the interview guide, and then new
codes were added to the dictionary as concepts and themes emerged from the analysis.
Our iterative approach to analysis involved reviewing interview transcripts and
discussing findings among five evaluators as the evaluation progressed. This
method thus enabled exploration of emergent themes among the data and ensured
that data saturation was reached. The thematic analysis was considered complete
when no additional codes or sub-codes could be defined. Our analysis was
supported by use of the Atlas.ti qualitative analysis software 8 (2017,
Scientific Software Development GmbH, Berlin, Germany).
3. Results
3.1. OIMRI Enrollment
Over 4,000 women enrolled in OIMRI between 2010-2015. Women most
frequently enrolled during their second trimester of pregnancy, and the earlier
in pregnancy they enrolled, the more likely they were to have more than 13
prenatal visits.
In total, OIMRI has reached over 15,000 mothers since
1996, enrolling 700 to 800 women a year for the past 10 years. From 2010-2015,
there were 4,358 clients that provided intake data used in this study, and 95%
of clients self-reported their race as “Black or African American.” The 14
OIMRI counties contain the largest cities in Ohio and participants are
primarily urban, however, there are rural and suburban participants in some of
the less populated counties.
3.2. OIMRI Recruitment
The recruitment strategies for the OIMRI program are summarized
in (Table 1). As shown, the primary means through which clients come to
OIMRI are through social service agencies (e.g., Child and Family Health
Service, Job and Family Services), self-referral, or referral by a friend,
relative, or neighbor.
All of the program managers described actively recruiting
in-person at locations that the target population commonly utilizes; these
included The Special Supplemental Nutrition Program for Women, Infants and
Children (WIC) offices, physician offices, and Job and Family Services.
Describing in-person recruitment efforts, one interviewee explained, “we work
and partner with our local FQHC [federally qualified health center], so they
have a prenatal center there. So we’re housed there several days a week where
we’re meeting all the pregnant women that come in and out, making sure that
they’re linked with home visiting.” Another interviewee said, “We’re going
to Job and Family Services on a regular basis and WIC on a regular basis...And
just kind of a permanent face there and trying to recruit families that
way.” In addition, beyond the categories in the table, interviewees from a
few sites discussed recruiting in-person at parenting classes, churches,
homeless shelters, and even local schools.
Recruitment also reportedly occurs through word of mouth
among friends and family members, as well as during home visits to other
clients. One program manager explained, “word of mouth is huge here in our
county. So you know, it may not be applicable to them at the time, but somebody
else in their housing complex or somebody else in their family could
potentially benefit. So you know, information is-information sharing is the
best thing we can do to try to get the word out about our program.”
3.3. Enrollment and Prenatal Care
Women most frequently enrolled in OIMRI during their second
trimester (44.9%), started prenatal care during their first trimester (72.0%),
and had 9-12 (38.7%) or 13 or more (40.6) prenatal visits, as shown
in (Table 2).
For 2010-2015, there was a statistically significant difference
in the number of prenatal care visits attended by women who enrolled in OIMRI
in the first vs. the second vs. the third trimester (p=0.001) (Figure 1).
While 45% of those who enrolled in OIMRI in their first trimester
had 13+ prenatal visits, 4% had 1-4, and 11% had 5-8 visits; those who
enrolled in OIMRI in their third trimester more frequently had 1-4 visits (9%)
or 5-8 visits (16%), and fewer had 13+ visits (38%).
3.4. Client Retention and Support
We identified three main themes in our interviews with program
managers related to the ways in which the OIMRI program assists its clients: 1)
addressing social determinants of health; 2) providing resources; and 3)
providing social support. These three themes are described in further detail
below.
3.4.1. Addressing Social Determinants of Health: Many
program managers emphasized the importance of referrals to community resources.
As one commented, “If you ask the community health worker, they would say that
their primary thing is relationship building, and secondly it’s referrals to
community, linkages to community resources.” During home visits, the CHWs
regularly ask their clients for updates about appointment attendance and
whether they obtained referred services. In addition, each CHW keeps
information about which referrals were successful so that they can continue to
encourage clients that have yet to access referred services.
The CHWs also frequently support their clients in ways beyond
these referrals. Specifically, they play the role of service coordinator by
contacting care or service providers for a client or by working directly with
providers. One program manager highlighted the advocacy role played by the
CHWs:
For the client, the social determinants of health play so many
factors in the disparities. So it may be that the community health worker may
be spending some time trying to get the client housing, or making phone calls
because there may be some domestic violence. Bed bugs are an issue, so
sometimes our clients may be in less than desirable living conditions. So the
community health care worker plays a vital role in trying to lessen the
stressors around the mom and the family, as well as educate them on how to have
a healthy pregnancy.
3.4.2. Providing Resources: Another benefit of the
OIMRI program is directly providing resources that may help with appointment
attendance or infant care after the birth. OIMRI supports clients by giving
them incentives for prenatal care and to stay in OIMRI, including bus passes or
gas cards, coupons, gift cards for supplies, or physical supplies such as
diapers, wipes, or bottles. As one manager explained, "One thing that I've
learned is that incentives go a long way. And that has been something that our agency
has not been big on even though the grant, you know, loves for you to
incentivize different things. If you go for your postpartum checkup, what’s
wrong with giving them a gift card?” Another interviewee discussed how these
resources facilitate the CHWs’ connections with clients: “the program has
afforded us to give the clients incentives and it kind of makes it easier when
you have something to bring to the home other than just data collection and
getting information. If you have a gift or just something to say ‘hey, we
appreciate you, you know, taking part in this, allowing us to intrude into your
life and giving me this information.’” One county specifically detailed their
incentive structure: “You know; we do have incentives in our program too. If
they go to all their prenatal appointments, we give them a $20 Walmart
card. If they go to their postpartum visit we give them $20 card, and then
when they complete the program. And it used to be immunizations sometimes they
would get a $20 gift card.”
3.4.3. Social Support: All program managers were
asked what they thought the OIMRI program did exceptionally well and the most
common theme mentioned involved communication and support for the clients. One
program manager noted that the CHWs often become the client’s “best friend.” A
manager reflected, "I think [the CHWs are] there for a support system
which a lot of our women do not have...I think [that] has really impacted [the
clients/mothers] in their lives to make some changes." As another interviewee
said, "for many of our clients...they don't have anyone other than the
community health worker. That is like their lifeline." Program managers
linked this social support role to program success, saying:
You know, we’re certainly impacting, making sure that [clients]
get to the doctor and, you know, that they’re having a healthy baby. It’s
helping them identify areas that are causing them stress or…helping give them
the skills and the resources that enable them to address those and move forward
and be in a better place than when we first came into their lives, and whatever
that means for them, whatever their goals are.
3.5. Barriers to OIMRI Participation and Prenatal
Care Retention
We also found that potential clients face many barriers to
participation in both OIMRI and prenatal care, contributing to high rates of
loss to follow-up and non-compliance with recommendations. As a result of
mothers dropping out of the OIMRI program prior to birth, only 61.2% of
participants with an intake report have birth outcome data completed in the
dataset used for the 2010-2015 analyses. We found three major themes around
barriers to participation: 1) housing insecurity; 2) lack of transportation;
and 3) issues with mental health and substance abuse. Each of these barriers is
described in more detail below.
3.5.1. Housing Insecurity: One of the most common
barriers mentioned was housing insecurity, as many women that might participate
in OIMRI are homeless or live in poor conditions. An interviewee explained, “We
have homeless clients, we have clients living in cars, we have clients living
with extended family in crowded conditions, we have clients that move a lot. So
you know, people who are lost to follow up are common, or people who can’t keep
up with the visits because their lives are too chaotic.” For other clients,
their housing is not adequate, and this leads to CHWs playing a housing
advocacy role. A program manager commented, “Some of our families have housing,
but it’s not what I would call adequate housing. So we’re doing a lot with
landlords. Teaching them their rights, the tenants’ rights, linking them with
agencies that can help with those issues, trying to help them find other
housing.” This housing insecurity leads to a lot of stress among clients who do
participate, as one interviewee explained:
I mean the main thing that’s happening with our moms…is the
stress, because maybe their water is getting shut off or they’re getting
evicted. I wish that we had a pot of money that would be available for those
types of emergencies. Like they were going to get their water shut off and they
needed the $50 to keep it on and we could [pay] that. And you know, food
allowance. Sometimes, these pantries, they run out. Or they’ve been there in
the last 30 days.”
3.5.2. Transportation: Lack of transportation to
referred services was also a barrier to participation, notably because it can
cause clients to appear non-compliant with the CHW’s referrals. Further,
transportation barriers were reported to be a more pervasive problem in rural
counties. As one interviewee explained, “Usually transportation is an issue in
[counties where] there is no public transportation… It’s a problem because they
don’t go to appointments because of that.” After identifying this barrier, one
program manager detailed how an OIMRI CHW would strive to help the client
overcome this barrier: So it may be that she’s in the 6th month of
the pregnancy, all may be going well, however transportation may be an issue.
She doesn’t have transportation to get back and forth to the doctor’s office or
what have you. And we come in and educate her on that stage of the pregnancy,
assess the home environment so that it’ll be a safe environment for the baby….
And then we’ll provide her with bus tokens for transportation to the doctor’s
office. And then we’ll work to see how she can get assistance so that this is
not a recurring theme for her. Lack of transportation.
Another program manager mentioned the opportunity to address
this barrier by trying to help clients ahead of time: “You know, I’ll call a
day or two before the appointment to just to make sure, you know, if there are
transportation issues or childcare issues, try to get that all handled before
the appointment to assure that that client will keep the appointment.”
3.5.3. Mental Health and Substance Abuse: Mental health and
substance abuse were frequently mentioned together as barriers to program
participation as well as notable challenges faced by CHWs serving clients. When
asked about concerns, one interviewee noted, “I definitely think the mental
health and substance abuse we’re facing - how to keep those clients involved,
how to keep them involved long-term, how to keep them involved to completion.”
Interestingly, substance abuse was often mentioned in the context of the
growing heroin epidemic: “we’re seeing a lot of drug use-more drug use,
specifically heroin ... There’s a big waiting list for any kind of drug
facility so by the time they’re at the top of the list, they’re strung out or
overdosed.” These issues appear to be increasing in prevalence in some
counties. As one manager commented, “mental health is a big issue right now
that we’re facing with probably over 50% of our caseload. We have a lot of
extensive mental health issues, far beyond anxiety and depression. You know,
we’re into schizophrenia, bipolar, substance abuse--all of those things have
increased over the past four or five years.”
4. Discussion
While CHWs have been found to be effective in increasing
participation in infant mortality reduction efforts, the impacts of such
programs with respect to outcomes and addressing barriers to program
participation have been unclear. In particular, it has remained unclear how
these front line public health workers can best recruit and retain program
clients. Our case study of the OIMRI program enabled us to improve our
understanding of these issues in the context of a program designed to target
high-risk black mothers in Ohio.
Across the OIMRI program, we identified several approaches that
CHWs use to recruit pregnant women and reduce the barriers they face to
receiving prenatal care. We found that the most frequent sources
of recruitment into OIMRI included via social service agencies; friends,
family, and neighbors; and self-referrals. Further, we found an association
between early enrollment in OIMRI and the client attending at least 13 prenatal
care visits. This finding suggests that a CHW-led program can facilitate
women’s access to adequate prenatal care if initiated early, satisfying
recommendations for the number of prenatal care visits by the American College
of Obstetricians and Gynecologists (i.e., 11-15 visits for a full-term infant)
(American Academy of Pediatrics & American College of Obstetricians and
Gynecologists, 2017). This finding aligns with prior research showing, for
example, that among WIC recipients, those enrolled in community programs are
more likely to initiate prenatal care early in their
pregnancies [20]. Similarly, other home-visiting programs and CHW-led
programs have been previously found to improve utilization of healthcare among
underserved populations [21].
Our findings also offer insight into why the CHWs are able to
improve healthcare utilization among high-risk pregnant women. For example,
some of the incentives offered by the OIMRI program (e.g., bus passes and gas
cards) directly affected mothers’ ability to attend appointments, while other
incentives were given as a response to prenatal care attendance. These tactics
help address common barriers, including transportation, logistical challenges,
and low support [22,23]. Additionally, the CHWs’ efforts to support the
women they serve may contribute to clients’ empowerment and sense of
self-efficacy in managing their health, which in turn may positively affect
maternal health behavior [24].
Nonetheless, we also found that the majority of OIMRI clients
did not begin the program during their first trimester, raising concerns about
the adequacy of program recruitment methods. It is possible that women are
unlikely to self-enroll if they do not see information in the neighborhood or
hear about the program, nor will they be referred until others know about their
pregnancy. Notably, the pathways to recruitment identified suggest several
opportunities to improve CHW-led infant mortality reduction efforts, such as
partnering with social service agencies. OIMRI CHWs should focus on raising
awareness about the program among women likely to be eligible through as wide a
variety of methods as possible to encourage early program initiation and
self-enrollment.
In addition, while OIMRI CHWs were effective in circumventing
barriers to prenatal care for a number of their clients, additional factors
noted (e.g., housing insecurity, mental health or substance abuse issues)
likely affected the ability of clients to stay engaged in OIMRI and obtain
adequate prenatal care. Prior research reports that mothers who do not seek
prenatal care note substance abuse, denying that they are pregnant, financial
problems, hiding their pregnancy, and feeling they know enough from previous
pregnancies as reasons, many of which are risk factors for infant
mortality [25]. Adding to these issues, previous studies have shown
that black women who receive no prenatal care tend also to have many behavioral
risk factors for infant mortality, and experience poor birth outcomes at higher
rates than white or Hispanic women who do not receive prenatal
care [26]. As OIMRI targets high-risk black women, their program
clients may be more likely to experience these known risk factors and barriers
to care.
For the OIMRI program to improve its impact, obtaining
additional resources for incentives and raising awareness of the program may both
be needed. Additionally, OIMRI funding may be subject to ODH budget
limitations, potentially creating staff turnover and limiting both the
sustainability and impact of the program. Further, as timing of recruitment is
important to receipt of adequate prenatal care, focusing recruitment efforts to
increase early enrollment, in particular, may be critical. Increased canvassing
and advertising for the program within communities with high concentrations of
black women could help by raising awareness and increasing self-referrals. With
the continued high rate of infant mortality among black Ohioans, increasing
recruitment and retention in programs such as OIMRI is essential to affect
change.
5. Limitations
Our study findings should be interpreted in light of several
limitations. The quantitative data reported in this study relies on
self-reported program data, as clients were the source of most outcome data.
Self-reported data can result in inaccuracies due to mothers being unaware of
gestational week or misreporting the number of prenatal visits, potentially due
to a desire to increase social desirability. Second, this study was limited by
incomplete data, as many clients dropped out of the program and were
unreachable after program intake, or did not answer certain questions. Third,
the kinds of prenatal care received were not recorded, only the number of
visits. Fourth, since infant mortality is a rare event, our study cannot
evaluate the impact of CHW efforts on this birth outcome. Instead, this study
focuses on operational measures of program success. Finally, the program
managers could have introduced bias themselves in their interviews if they were
unwilling to report negative aspects of the program. Future analyses could
further specify what kinds of prenatal care were received rather than just the
number of visits and start date. In addition, while we had qualitative data
detailing benefits and barriers, future data collection efforts could quantify
the number and types of barriers to care among high-risk mothers to improve
upon existing interventions.
6. Conclusion
The OIMRI program targets risk factors for poor birth outcomes
and infant mortality by recruiting high-risk black women to receive home visits
from CHWs. We found that early enrollment in OIMRI was associated with
attending more prenatal care appointments. Further, OIMRI CHWs helped women
overcome barriers to care by providing referrals to prenatal care and social
services, incentives helping with transportation and childcare, and social support.
Yet the women participating in OIMRI often encountered difficulties with
housing, transportation, mental health, and substance abuse that the program
had to address to address to improve care adherence. CHW-led programs like
OIMRI may reduce infant mortality risk by helping women receive adequate
prenatal care. However, future work is needed to explore ways to overcome these
barriers to program participation among high-risk populations in order to
ensure success in efforts to reduce infant mortality.
7. Acknowledgements/Funding Disclosure
The OIMRI Evaluation is funded by the Ohio Department of Health
(ODH) and administered by the Ohio Colleges of Medicine Government Resource
Center. The views expressed in this paper are solely those of the authors and do
not represent the views of ODH. This study includes data provided by ODH which
should not be considered an endorsement of this study or its
conclusions. There are no other funding sources or disclosures to report.
Figure 1: Trimesters of OIMRI Enrollment.
| n | % |
Social Service Agency | | |
Social service agency other than CFHS | 1,047 | 24 |
Child and Family Health Services (CFHS) | 229 | 5.3 |
Referral | | |
Friend, relative, or neighbor referral | 754 | 17.3 |
Self-referral | 752 | 17.3 |
Prenatal care provider | 646 | 14.8 |
Canvassing | | |
Home visit | 421 | 9.7 |
Neighborhood canvassing | 383 | 8.8 |
Door-to-door canvassing | 126 | 2.9 |
Table 1: Recruitment Methods in the OIMRI Program, 2010 to 2015.
|
n |
% |
Weeks’ Gestation at Enrollment in
OIMRI |
|
|
<13 weeks |
1,190 |
27.5 |
13-27 weeks |
1,947 |
44.9 |
>27 weeks |
1,198 |
27.6 |
Weeks’ Gestation at Start of Prenatal Care |
|
|
<13 weeks |
1,922 |
72 |
13-27 weeks |
639 |
23.9 |
>27 weeks |
108 |
4.1 |
# of Prenatal Care Visits |
|
|
0 visits |
30 |
1.1 |
1-4 visits |
167 |
6.3 |
5-8 visits |
354 |
13.3 |
9-12 visits |
1,030 |
38.7 |
13 + visits |
1,079 |
40.6 |
Table 2: Gestational Age at Enrollment in OIMRI and Receipt of Prenatal Visits.
- World Health Organization (2015) Probability of dying per 1000 live births: Data by country. Global Health Observatory data repository 2015.
- Hollowell J, Oakley L, Kurinczuk JJ, Brocklehurst P, Gray R (2011) The effectiveness of antenatal care programmes to reduce infant mortality and preterm birth in socially disadvantaged and vulnerable women in high-income countries: a systematic review. BMC Pregnancy and Childbirth, 11: 13.
- Nicolaides KH (2011) Turning the pyramid of prenatal care. Fetal Diagnosis and Therapy, 29: 183-196.
- Bryant AS, Worjoloh A, Caughey AB, Washington A E (2010) Racial/ethnic disparities in obstetric outcomes and care: prevalence and determinants. American Journal of Obstetrics and Gynecolology, 202: 335-343.
- Friedman SH, Heneghan A, Rosenthal M (2009b) Disposition and health outcomes among infants born to mothers with no prenatal care. Child Abuse & Neglect, 33:116-122.
- Peacock S, Konrad S, Watson E, Nickel D, Muhajarine N (2013) Effectiveness of home visiting programs on child outcomes: a systematic review. BMC Public Health, 13: 17.
- Sunil TS, Spears WD, Hook L, Castillo J, Torres C (2010) Initiation of and barriers to prenatal care use among low-income women in San Antonio, Texas. Maternal and Child Health Journal, 14: 133-140.
- Health Policy Institute Ohio (2017) Pathway diagrams for housing, transportation, education and employment.
- United Health Foundation. (2017). 2017 America's Health Rankings Annual Report.
- Ohio Department of Health. (2017b). Ohio Resident Live Births (2006-Present).
- Ohio Department of Health. (2017a). 2016 Ohio Infant Mortality Data: General Findings.
- American Public Health Association. (2017). Community Health Workers.
- Bureau of Maternal and Child Health (2015) Ohio Infant Mortality Reduction Initiative Program Report 2009-2012. Columbus, OH: Ohio Department of Health 2015.
- Olds DL, Kitzman H (1990) Can home visitation improve the health of women and children at environmental risk? Pediatrics, 86: 108-116.
- Lewin S, Munabi-Babigumira S, Glenton C, Daniels K, Bosch-Capblanch X, et al. (2010) Lay health workers in primary and community health care for maternal and child health and the management of infectious diseases. Cochrane Database of Systematic Reviews (3), CD004015.
- Goyal NK, Hall ES, Meinzen-Derr JK, Kahn RS, Short JA, et al. (2013) Dosage effect of prenatal home visiting on pregnancy outcomes in at-risk, first-time mothers. Pediatrics, 132 : S118-125.
- Nicolaides KH (2011) Turning the pyramid of prenatal care. Fetal Diagnosis and Therapy, 29: 183-196.
- Bloch JR, Dawley K, Suplee PD (2009) Application of the Kessner and Kotelchuck prenatal care adequacy indices in a preterm birth population. Public Health Nursing, 26: 449-459.
- American Academy of Pediatrics, & American College of Obstetricians and Gynecologists (2017). Guidelines for perinatal care. 8th ed. Elk Grove Village, IL: American Academy of Pediatrics; Washington, DC: American College of Obstetricians and Gynecologists 2017.
- Dixon-Woods M, Agarwal S, Jones D, Young B, Sutton A (2005) Synthesising qualitative and quantitative evidence: a review of possible methods. Journal of Health Services Research & Policy, 10: 45-53.
- Andrews JO, Felton G, Wewers ME, Heath J (2004) Use of community health workers in research with ethnic minority women. Journal of Nursing Scholarship, 36: 358-365.
- Phillippi JC (2009) Women's perceptions of access to prenatal care in the United States: a literature review. Journal of Midwifery & Women’s Health, 54: 219-225.
- Tucker Edmonds B, Mogul M, Shea JA (2015) Understanding low-income African American women's expectations, preferences, and priorities in prenatal care. Family & Community Health, 38: 149-157.
- Becker J, Kovach AC, Gronseth DL (2004) Individual empowerment: How community health workers operationalize self-determination, self-sufficiency, and decision-making abilities of low-income mothers. Journal of Community Psychology, 32: 327-342.
- Friedman SH, Heneghan A, Rosenthal M (2009a) Characteristics of women who do not seek prenatal care and implications for prevention. Journal of Obstetric, Gynecologic & Neonatal Nursing, 38: 174-181.
- Taylor CR, Alexander GR, Hepworth JT (2005) Clustering of U.S. women receiving no prenatal care: differences in pregnancy outcomes and implications for targeting interventions. Maternal and Child Health Journal, 9: 125-133.