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Army Unintended Pregnancy Study

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Title: Army Unintended Pregnancy Study


1
Army Unintended Pregnancy Study
  • PIs Dr Kathleen ORourke, PhD COL Michael
    Custer, DrPH
  • Co-investigators Mary Roddy, PhD Jonas Almeida,
    PhD
  • Funded by CDC/AAMC

2
Army Unintended Pregnancy Study
  • Assistance LTC Wayne Coombs, PhD, MAJ Georgia
    Delacruz, DDS,
  • Ms Judith Harris, Ms Donna Williams, Ms Ericka
    Evans, Ms Joy Coates
  • Funded by CDC/AAMC

3
All Services Gender Distribution
  • In the Army 15.3 officers and 14.6 enlisted are
    female as of Sept 2004
  • Air Force has highest percentage of women.

Includes Warrant Officers
4
Background
  • With 15 of our soldiers women
  • Need to address specific social, medical, and
    physical needs of female soldiers
  • Unintended pregnancy among soldiers, especially
    new recruits, can be disruptive to unit readiness
    as well as the soldiers physical, social,
    mental, and economic well-being.

5
Pregnancy intention
  • To date, most data on pregnancy intention is
    collected retrospectively, after the birth of a
    baby.
  • Subject to recall bias as the birth of a baby is
    a highly emotional experience and may impact on a
    womans ability to accurately recollect
    intention.
  • Does not include women who have induced or
    spontaneous abortions.

6
Pregnancy intention
  • A variety of terms have been used to define
    pregnancy intention
  • Intended
  • Planned
  • Wanted
  • A civilian study of 110 women receiving prenatal
    care showed
  • 35 of pregnancies were planned
  • 91 were wanted

7
Measurement of pregnancy intention
  • Measured through national surveys
  • PRAMS Pregnancy Risk Assessment Monitoring System
  • Data are collected retrospectively and asked 2-3
    months after delivery
  • NSFG National Survey of Family Growth
  • Within 5 years of having infant
  • NMIHS National Maternal and Infant Health Survey
  • Self Administered Survey

8
Measurement of pregnancy intention
  • Measured through national surveys
  • PRAMS
  • Data are collected retrospectively and asked 2-3
    months after delivery
  • Questions Used Unintended Pregnancy Thinking
    back to just before you were pregnant, how did
    you feel about becoming pregnant? Responses (1)
    I wanted to be pregnant sooner, (2) I wanted to
    be pregnant later, (3) I wanted to be pregnant
    then, (4) I didnt want to be pregnant then or
    any time in the future, (5) I dont know. Dont
    know responders were excluded from the analysis.

9
Risks of unintended pregnancy
  • Approximately 57 (3.1 million) U.S. pregnancies
    are classified as unintended
  • 1.6 million of these end in abortion
  • Unintended pregnancies are associated with
  • Inadequate prenatal care
  • Alcohol use and smoking during pregnancy
  • Low birth weight
  • Obstetric complications
  • Child abuse
  • Poor child development
  • Lower educational attainment for the child

10
PRAMS pregnancy intention data
11
Rates of pregnancy in the Army
  • 14,012 soldiers delivered babies in 2001.
  • This represented 18.9 of the total number of
    women in the Army Sep 2001
  • Two studies indicate that approximately 50 of
    soldiers who deliver infants reported they were
    mistimed or undesired
  • No available data on rates of elective abortions
    or miscarriages in this population. No available
    data on rates of elective abortions or
    miscarriages in this population.

12
Prevalence of Unintended Pregnancy in the
Army- Clark

No contraception
Intended Pregnancy
Unintended Pregnancy
Contraception Use
n344
Clark, et al., 1997
13
Prevalence of Unintended Pregnancy in the Army-
Custer

No contraception
Intended Pregnancy
Contraception Use
Unintended Pregnancy
Ambivalent
n212
Custer, et al., 1999
14
Impact of Pregnancy in the Army
  • Women made up 40 of the hospitalizations of
    soldiers in 1999
  • 58.3 of the hospitalizations among women were
    related to pregnancy, delivery or postpartum
    complications
  • Medical Surveillance and Monthly Report, July
    2001.

15
Rates of unintended paternities in the Army
  • Currently no data are available
  • One study1 found 70 agreement between intention
    status a mothers intention status and her report
    of the fathers.
  • LTC Michael Custer, Kim Waller, Kathleen
    ORourke, Sally Vernon, Anne Sweeney. 2002
    Unintended pregnancy rates among a US military
    population. Under review for publication

16
Complexity of pregnancy intention
  • Pregnancy intention is a complex measure
  • Changes over time
  • Measures are complex
  • Planned and wanted pregnancy to unplanned and
    unwanted
  • Issue of fatalism, religiosity
  • Interpretation is subject to biases
  • Impacted by cultural norms and beliefs
  • Potential bias in retrospective analysis

17
Purpose of this study
  • Obtain data on rates of unintended preg/patern
    among soldiers during first two years following
    Initial Entry Training (IET).
  • Evaluate the impact of a preg/patern prevention
    curriculum, designed for a military population.
  • To identify factors associated with unintended
    preg/patern among soldiers during first two years
    following IET.

18
Intervention Curriculum
  • Based upon Reducing the Risk
  • Refined for a military population
  • One four hour class

19
Intervention Curriculum
  • The Army made this program available at
    USACHPPMs web site http//chppm-www.apgea.army.mi
    l/dhpw/Population/Pregnancy.aspx
  • This study will evaluate the impact of the
    curriculum

20
Original Study design
  • Prospective cohort
  • Community-based evaluation design of a
    pregnancy/paternity and STD prevention program
  • Two groups
  • Soldiers assigned to a base with the intervention
    program (Ft. Campbell, KY)
  • Those assigned to bases without the intervention
    program (Fort Stewart, Fort Bliss, Fort Jackson)
  • Follow approximately 1200 soldiers (50 female)
    for two years

21
Original Study design
  • Follow approximately 1200 soldiers (50 female)
    for two years
  • Baseline Survey
  • Pre Post Test measures learning during
    intervention
  • Follow-up Surveys
  • 6 Months
  • 12 Months
  • 18 Months
  • 24 Months

22
Enrollment status
  • Intervention (Ft. Campbell)
  • Total 680
  • 345 men
  • 335 women
  • Comparison (Fts. Jackson, Stewart, Bliss)
  • Total - 589
  • 333 men
  • 236 women
  • We are 64 women short of our initial projection
    due to difficulties enrolling because of the
    military action in Iraq

23
Data collection
  • Questions include demographic factors,
    contraceptive use, pregnancy history, pregnancy
    intention, STD treatment
  • Questions gender specific
  • Additional questions if a pregnancy occurred
    during the target period
  • Follow-up data collected through a WEB-based
    survey with privacy protection

24
Utilizes adaptation of PRAMS question for
prospective collection
  • If you are (your partner is) not pregnant, do you
    want/plan to become pregnant (father a child)
    within the next 6 months?
  • 1. Yes, I definitely want to become pregnant
    (father a child) in the next 6 months
  • 2. No, I dont want to become pregnant
    (father a child) in the next 6 months though I
    will probably get pregnant (father a child)
    sometime in my life.
  • 3. No, I dont ever want to become pregnant
    (father a child)
  • 4. I dont know

25
Additional pregnancy intention measures
  • How would you feel if you (your partner) became
    pregnant now?
  • 1. Very happy
  • 2. Somewhat happy
  • 3. Not very happy
  • 4. Not happy at all
  • Would having a baby now be a problem for you?
  • 1. Yes, very much
  • 2. Yes, a little
  • 3. No, not very much
  • 4. No, not at all

26
Unintended paternity
  • Very little data to date in all populations
  • Should provide baseline information for
    participants in the military setting

27
Potential benefits
  • Prospective measure of unintended pregnancy
  • Can compare prospectively reported pregnancy
    intention with retrospective reporting for women
    who have a pregnancy
  • May have implication for other studies on
    pregnancy intention

28
Challenges
  • Issue of deployment
  • Military deployment to Iraq
  • Began Data Collection Early 2003
  • IRAQ invaded March 2003
  • Ft Campbell home to 101st Airborne
  • Two-fold effect
  • Enrollment activities
  • Follow-up activities

29
Impact of deployment on enrollment
  • Difficulty in expanding enrollment to additional
    bases
  • At times, entire units closed due to deployment
    of all soldiers
  • Study is lower priority
  • Currently have one intervention site and three
    non-intervention sites
  • Expanded enrollment period

30
Impact of deployment on follow-up
  • Loss to follow-up for 6 months surveys gt90
  • Initial plan was on-line survey
  • Access to computers/internet is limited
  • Changed to both internet and mail survey
  • Many e-mail addresses expire if not used
  • Eg. Yahoo
  • Addresses are by unit assigned
  • Individuals get reassigned
  • 25 mail returned due to incorrect addresses
  • Greatest challenge is lack of information on
    reasons for loss to follow-up

31
Follow-up strategies implemented
  • Continue sending out follow-up surveys in both
    formats
  • Use troop locator system to identify incorrect
    addresses
  • Change the 12 month survey to collect data on the
    entire period.
  • At least one follow up survey
  • 1149 Baseline surveys
  • 690 Follow-up surveys
  • One year follow-up ends Sept 2005

32
Study issues and adjustments
  • Loss of six-month follow-up data, including the
    impact of deployment on contraceptive use and
    pregnancy intention Added a qualitative component
  • , interviewing 32 subjects about the effect of
    deployment on sexual decision making
  • 8 men who intended a paternity in 6 months
  • 8 men who did not intend paternity in 6 months
  • 8women who intended pregnancy in 6 months
  • 8 women who did not intend pregnancy in 6 months

33
Dimensions of pregnancy intention
  • Qualitative study
  • In depth, semi-structured interviews with 16
    women
  • Introductory question How do you feel about this
    pregnancy?
  • Explored how women related to intended,
    unintended, planned, unplanned, wanted, and
    unwanted
  • Social and cultural context was important in how
    women defined these factors.
  • Planned and wanted were very different but not
    planned and intended
  • Partners reaction was very important
  • Fisher R, Stanford J et al. Exploring the
    concepts of intended, planned, and wanted
    pregnancy. The journal of Family Practice 1999
    48(2)pp 117-122

34
Preliminary analysis of in-depth interviews
  • To date, we have 10 surveys, 8 female and 2 male
  • Themes
  • Deployment has a major impact on pregnancy
    intention for women and paternity for men
  • Attempts to become pregnant before deployment to
    avoid going
  • Avoiding pregnancy because of deployment
  • Changes in relationships after deployment
  • Concerns about exposures to chemicals/agents in
    Iraq

35
Attempting pregnancy to avoid deployment
  • How often do you think female soldiers attempted
    pregnancy to avoid deployment?
  • Probably very frequently. I dont know how many
    but I know it happens.
  • In my unit a lot of females got pregnant because
    they didnt want to go to war. Then they got
    faced with having their babies and then having to
    leave them.

36
Avoiding pregnancy because of deployment
  • The reason why he wants us to get pregnant is
    to try and get me out of a deployment. I dont
    want to bring a child into the world just because
    I am trying to avoid a deployment.
  • We want to wait.. Him being away and me may-be
    getting deployed and us both being in the army is
    hard.

37
Changes in relationships after deployment
  • Several soldiers indicated they were in a
    different relationship after deployment than
    before
  • My wife said I wanted to get things done faster.
    She said I would get mad at her if she took more
    time.
  • Its made our relationship stronger. Because
    when he was in Iraq I was sent down to Kuwait so
    we had that distance and now hes deployed
    again so its made us stronger.
  • It became very different in how I handled friends
    I had prior to deploying I found it hard to
    communicate with them for awhile.

38
Concern about exposure to chemicals/agents in Iraq
  • I think we were all exposed to things. Like
    right now, I came back from Iraq TB positive.
  • The stuff we ate and dealt with over there is
    concerning.
  • I was exposed to the sulfur fires ... So I think
    that has effected me. I dont think it has
    effected my babys health.
  • Yes I worry about it. I remember when we were
    coming home, our plane landed in Italy and they
    would not let us get off the plane because the
    soldiers were some from a chemical unit and the
    sand from Iraq may have been on or boots or
    something.

39
Men stating delay in parenting due to deployment
  • I probably would have had a kid by now if I had
    not been deployed.
  • If I had not been deployed I probably would have
    had a kid sooner.

40
Baseline data analysis
  • In process 1149 records
  • Evaluate the relationship of contraceptive use
    with pregnancy intention
  • Three measures of pregnancy intention
  • Three categories of contraceptive use, as defined
    by Cates
  • CATES Sex Transm Dis, Volume 29(3).March
    2002.168-174

41
Categorization of contraceptives
  • Highly effective and do not depend on user
    adherence (sterilization, implants, injectables,
    IUDs)
  • Oral contraceptive pill (highly effective during
    perfect and typical use)
  • Less effective methods, unforgiving of imperfect
    use (barrier methods)

42
Categorization of pregnancy intention
  • Using PRAMS question
  • Intends to become pregnant
  • Intends to become pregnant in future but not
    presently
  • Never intends to become pregnant
  • Dont know
  • Incorporating other dimensions
  • Happy
  • Difficulty

43
Monitoring pregnancy in cohort
  • Availability of ICD 9 codes for pregnancy-related
    outcomes using SSNs and Defense Medical
    Surveillance Activity (DMSA)
  • Preliminary analysis 20-25 pregnancy prevalence
  • No difference in rates between intervention and
    non-intervention groups unless you take out those
    that intended to get pregnant

44
Monitoring pregnancy in cohort
  • Availability of ICD 9 codes for pregnancy-related
    outcomes
  • Preliminary analysis intervention and
    non-intervention groups not statistically
    significant although 5 lower in intervention
    group

45
Monitoring pregnancy in cohort
  • Total cohort shows 79 of males and females
    desire pregnancy later or do not want at all.
  • Males are less sure about their attitude toward
    pregnancy at twice the number than females

46
Descriptive Data in cohort
  • Among group of IET soldiers the ever having a
    reproductive associated medical events
  • Elective/spontaneous abortion, STD (5 years), 3
    more sexual partner in 12 months, sexual
    intercourse with another soldier 12 months.

47
Descriptive Data in cohort
  • Among group of IET soldiers how easy is it to get
    over the counter birth control.

48
Descriptive Data in cohort
  • During your most recent sexual intercourse did
    you or your partner use any kind of birth
    control?

49
Descriptive Data in cohort
  • Main reasons for not using birth control by
    gender.
  • I didnt think I was going to have sex
  • I didnt care if I/my partner got pregnant
  • Partner didnt want to use BC

50
Future plans
  • Attempt to obtain at least one follow-up survey
    on everyone
  • Determine unintended pregnancy rates as possible
  • Use ICD 9 codes to identify which factors are
    associated with pregnancy

51
Future plans
  • Complete the qualitative analysis to identify the
    impact of deployment on pregnancy intention
  • Use Qualitative Analysis to develop valid and
    reliable tools to determine impact of deployment
    and assess militarily unique issues
  • Continue to develop means to meaningfully measure
    pregnancy intent and identify means to insure
    those that do not intend to get pregnant do not

52
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