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Yale Psychiatry Grand Rounds: "Leveraging Experience Sampling to Advance Health and Wellbeing Among Victims of Intimate Partner Violence."

December 06, 2024

December 6, 2024

"Leveraging Experience Sampling to Advance Health and Wellbeing Among Victims of Intimate Partner Violence."

Tami Sullivan, PhD, Professor of Psychiatry, Yale School of Medicine

ID
12529

Transcript

  • 00:00About,
  • 00:02two women who share their
  • 00:03deeply personal
  • 00:05experiences
  • 00:06with us to make this
  • 00:08research possible.
  • 00:10Obviously, they're coming in to
  • 00:11talk about partner violence,
  • 00:13very sensitive topic, and it
  • 00:14can be difficult to participate.
  • 00:16So a a huge note
  • 00:17of thanks and gratitude to
  • 00:18women who are willing to
  • 00:19share those experiences.
  • 00:21Along with staff,
  • 00:23too many to include on
  • 00:24this slide, but many are
  • 00:26noted here.
  • 00:27In the middle, I've had
  • 00:28exceptional mentors
  • 00:30along the way in the
  • 00:31twenty three plus years that
  • 00:32I've been here at Yale,
  • 00:34as well as incredible colleagues.
  • 00:36Community partners are on the
  • 00:38right along with funders.
  • 00:39So as Stephanie mentioned, in
  • 00:41terms of my program of
  • 00:43research, I focus on individual
  • 00:44and system level factors that
  • 00:46affect the well-being of mostly
  • 00:48women who experience intimate partner
  • 00:50violence. And so the individual
  • 00:52level factors are noted here,
  • 00:53those that promote resilience and
  • 00:55recovery
  • 00:56and those that increase risk.
  • 00:58Today, I'll focus more most
  • 01:00probably on, post traumatic stress
  • 01:02and substance use, so I'll
  • 01:03talk about HIV,
  • 01:05and other, factors as well.
  • 01:08At the systems level, I
  • 01:09focus on the capacity of
  • 01:10systems
  • 01:11to meet the unique needs
  • 01:13of women who experience intimate
  • 01:14partner violence because their needs
  • 01:16are largely unique from, women
  • 01:19who have not experienced
  • 01:21IPV.
  • 01:21And then last in terms
  • 01:22of intervention development,
  • 01:24I did not I say
  • 01:25this a lot with folks
  • 01:26folks that I work with.
  • 01:27I did not grow up
  • 01:28as an intervention
  • 01:29development,
  • 01:31scientist. This is recent for
  • 01:32me, so I didn't grow
  • 01:33up, like, learning RCTs,
  • 01:35but in the last five
  • 01:36years or so have become,
  • 01:38more skilled at developing and
  • 01:40testing interventions. And we'll speak
  • 01:41to you at the end
  • 01:42a little bit about that.
  • 01:44And so
  • 01:45first,
  • 01:46I'm gonna introduce micro longitudinal
  • 01:48designs and their benefits.
  • 01:50I used experience sampling in
  • 01:51the title. That's one method,
  • 01:53microlongitudinal
  • 01:54method. This talk is gonna
  • 01:55be a little bit different
  • 01:57than some talks. It's not
  • 01:58a here are my methods,
  • 02:00here are the design, here's
  • 02:01the statistics, the measurement, the
  • 02:03outcome with all of,
  • 02:05lots of numbers and formulas.
  • 02:07That's really not this, this
  • 02:09talk.
  • 02:12Instead, I'm really gonna integrate
  • 02:14the micro longitudinal
  • 02:15designs,
  • 02:17and the benefits of them
  • 02:18with study
  • 02:20findings, to talk with you
  • 02:21both about this design and
  • 02:23its benefits,
  • 02:25as well as what it's
  • 02:26helped us come to learn
  • 02:27about women who experience intimate
  • 02:29partner violence.
  • 02:30And so elements central to
  • 02:31my work of note, I
  • 02:33collaborate with community members. Sometimes
  • 02:36it's always women with lived
  • 02:38or living experience
  • 02:39as well as folks that
  • 02:41serve them. It's critically important
  • 02:43to me that I center
  • 02:44the voices of the women
  • 02:46that we work with
  • 02:47and that it reflects to
  • 02:49the extent possible their lived
  • 02:51experiences.
  • 02:53And so to start with
  • 02:54what is intimate partner violence,
  • 02:55I promise to be quick.
  • 02:56You might think in twenty
  • 02:57twenty four we don't need
  • 02:59this discussion,
  • 03:00but we actually do for
  • 03:01some folks.
  • 03:02So the media depictions are
  • 03:04what a lot of people
  • 03:05come to understand as intimate
  • 03:06partner violence. And those media
  • 03:08depictions tend to focus on
  • 03:10victims
  • 03:11who are fragile
  • 03:13and helpless.
  • 03:14They tend to be depicted
  • 03:16as women only.
  • 03:17Those women are abused by
  • 03:19angry, mean men that you
  • 03:20could point to in a
  • 03:21room if you walked in.
  • 03:23Women are severely physically abused
  • 03:25in media depictions. We see
  • 03:27black eyes, broken bones,
  • 03:29someone cowering in the corner
  • 03:30in fear for their life
  • 03:32on a daily basis.
  • 03:33And absolutely,
  • 03:35do victims and abusers that
  • 03:37look like this exist?
  • 03:39Absolutely. There's no question. I
  • 03:40could do presentation
  • 03:41after presentation
  • 03:42on
  • 03:44opportunities to help individuals and
  • 03:45communities because we're looking for
  • 03:46that very specific type. So
  • 03:47what is intimate partner violence?
  • 03:48It's really
  • 04:00type. So what is intimate
  • 04:01partner violence?
  • 04:03It's really much more about
  • 04:04a pattern
  • 04:05of behaviors. Of course, it
  • 04:07includes physical abuse, but there
  • 04:08are many more strategies and
  • 04:10tactics than that. It includes
  • 04:12sexual abuse, verbal and emotional
  • 04:14abuse, And the intent really
  • 04:15is to threaten, harm, or
  • 04:18intimidate,
  • 04:19to control someone, isolate, or
  • 04:21monitor them. So it's a
  • 04:23range of strategies with a
  • 04:25range of of motivations and
  • 04:26intent.
  • 04:27We'll skip physical IPV in
  • 04:29terms of describing.
  • 04:31Sexual IPV, we often think
  • 04:33about sexual assault or abuse
  • 04:35in the context of a
  • 04:37dating partner or an acquaintance.
  • 04:39We're way past the don't
  • 04:40run, you know, don't jog
  • 04:42in the park at night
  • 04:42because some stranger is gonna
  • 04:43jump out from the bushes.
  • 04:45That, of course, happens.
  • 04:47But we think more about,
  • 04:48sexual assault in the context
  • 04:50of acquaintance relationships.
  • 04:52We don't often think about
  • 04:53it in the context of
  • 04:54partner violence, but one third
  • 04:56of women who experience
  • 04:58partner violence are made to
  • 04:59do sexual things that they
  • 05:00do not want to do.
  • 05:02So it's highly prevalent in
  • 05:03this population.
  • 05:05In terms of psychological abuse,
  • 05:08I would love to present
  • 05:09to you for hours on
  • 05:10psychological
  • 05:11abuse. It is critically important,
  • 05:13understudied, and under focused on
  • 05:15in interventions.
  • 05:17It's it's the spectrum of
  • 05:18behaviors. It's name calling, put
  • 05:21downs, humiliation
  • 05:23to the end of the
  • 05:24spectrum of monitoring where someone
  • 05:26goes, what they do, what
  • 05:28they can wear, keeping them
  • 05:30from family and friends. And
  • 05:31then there's financial and economic
  • 05:33abuse, limiting the amount of
  • 05:34money someone has access to,
  • 05:36taking their paycheck, or or
  • 05:37the opposite, not allowing them
  • 05:39to work, and to be
  • 05:40self sufficient.
  • 05:42So let's talk about IRL
  • 05:44or in real life.
  • 05:46In a therapy session, I'm
  • 05:47a psychologist as as doctor
  • 05:49O'Malley mentioned. In a therapy
  • 05:51session, if a client describes
  • 05:52struggling with a recent episode
  • 05:53of depression, I as a
  • 05:55clinician might say, so in
  • 05:57the last six months, how
  • 05:58often did you use drinking
  • 05:59to cope? Never, sometimes, often,
  • 06:02always?
  • 06:03In the last six months,
  • 06:04how often do you cope
  • 06:05by daydreaming about better times?
  • 06:07Never, sometimes, often, always?
  • 06:10For those of you on
  • 06:11Zoom, you can't see that
  • 06:11we're in a small room,
  • 06:13but some of you are
  • 06:13probably trying to figure out
  • 06:14how to make it to
  • 06:15the exit thinking if I
  • 06:16have to listen to this
  • 06:17person for the next hour,
  • 06:18if that's how they do
  • 06:19a therapy session. Of course,
  • 06:20we would never ever say
  • 06:22that in a therapy session.
  • 06:24But that's how we assess
  • 06:26things when we aggregate.
  • 06:27Right? And we have to.
  • 06:28There are many studies that
  • 06:29have to be done that
  • 06:30way, but that's not how
  • 06:31people live their lives. In
  • 06:33a therapy session, we would
  • 06:34ask what was going on
  • 06:35before, during, and after the
  • 06:37episode of depression, who they
  • 06:39spent time with, what strategies
  • 06:40they tried to use to
  • 06:42cope, how they worked out.
  • 06:44So we would ask about
  • 06:45day level experiences. We wouldn't
  • 06:47aggregate.
  • 06:49Research needed to get with
  • 06:50the times. Now I said
  • 06:51this twenty years ago before
  • 06:53I did my first micro
  • 06:54longitudinal study.
  • 06:55So in walks a micro
  • 06:57longitudinal
  • 06:58design known by many names.
  • 07:00Experience sampling is in my
  • 07:01title, intensive longitudinal
  • 07:03designs, real time data collection.
  • 07:06What is a micro longitudinal
  • 07:08design?
  • 07:09So essentially, it's capturing lived
  • 07:12experiences or data from the
  • 07:14perspective of a researcher,
  • 07:16with great frequency
  • 07:18in near real time and
  • 07:19in someone's natural environment. So
  • 07:22for example, it's an assessment
  • 07:24a day or multiple times
  • 07:26a day completed at home
  • 07:28on a smartphone, for example.
  • 07:30So this is a hypothetical
  • 07:32data example. These are not
  • 07:33real data points based on
  • 07:35real data.
  • 07:36But essentially,
  • 07:37if we were developing an
  • 07:38intervention to reduce PTSD symptoms,
  • 07:40most of us,
  • 07:42again, not an intervention developer
  • 07:44per se, but but I
  • 07:45know enough to know we
  • 07:46would do baseline and follow-up
  • 07:47assessments. Right? So here's our
  • 07:48baseline assessment of PTSD symptoms,
  • 07:51and ideally, we would see
  • 07:52a decrease that was maintained
  • 07:54at three and six months.
  • 07:58But what could we do
  • 07:59with a micro longitudinal
  • 08:00design, and what could we
  • 08:02understand? Right? If we're if
  • 08:03we're targeting something in an
  • 08:04intervention like PTSD symptoms,
  • 08:07we know that at the
  • 08:08day level,
  • 08:09someone doesn't reach a level
  • 08:11of a PTSD symptom, and
  • 08:12there are many, and then
  • 08:14stay at that level for
  • 08:15the next six months. Of
  • 08:16course, that doesn't happen. PTSD
  • 08:18symptoms, depression symptoms, name name
  • 08:20the mental health disorder symptoms
  • 08:22fluctuate.
  • 08:23And so a micro longitudinal
  • 08:25design can help us understand
  • 08:27this fluctuation
  • 08:28at the day level or
  • 08:29even within a day. And
  • 08:31so you can see this
  • 08:32says day one one day
  • 08:34one two one three. This
  • 08:35is for example four surveys
  • 08:37a day. So one one
  • 08:38is day one survey one
  • 08:40day one two etcetera.
  • 08:43So what are the benefits?
  • 08:46Well, first, it reduces recall
  • 08:48bias. When you're asking someone
  • 08:50a question in near real
  • 08:51time about what happened yesterday
  • 08:53or this morning, it's certainly
  • 08:54better than asking them what
  • 08:56happened last week. I can't
  • 08:58remember what happened last week.
  • 09:00But we ask people to
  • 09:01recall over long periods of
  • 09:03time. And so this method
  • 09:04reduces recall bias, so more
  • 09:06accurate information.
  • 09:08It improves ecological validity because
  • 09:10it's collected in someone's own
  • 09:11environment. They're not coming into
  • 09:13our office here at Yale.
  • 09:15They're sitting on their couch.
  • 09:16They're on the bus. They're
  • 09:17at work.
  • 09:18It allows us to identify
  • 09:20proximal and contingent
  • 09:22relationships. So to speak with
  • 09:23greater certainty about how things
  • 09:25are associated
  • 09:27in real time because actually,
  • 09:30we found that we can't,
  • 09:32misrepresent
  • 09:32the experiences
  • 09:34of individuals
  • 09:35when we aggregate.
  • 09:38And it identifies more precisely
  • 09:40targets for intervention. So here
  • 09:42you'll see an overlay, again,
  • 09:43hypothetical example
  • 09:45of substance use,
  • 09:47on top of the PTSD
  • 09:50symptoms. And you might take
  • 09:51a quick look and say,
  • 09:52oh, well, it looks like
  • 09:53substance use in yellow.
  • 09:55Does it does it happen
  • 09:56more often after PTSD symptoms
  • 09:59kind of fluctuate, kind of
  • 10:00peak upward?
  • 10:02And so a micro longitudinal
  • 10:04design can test that, which
  • 10:05would help us better understand
  • 10:07these really specific, precise relationships.
  • 10:10But the first question is
  • 10:11it safe and feasible to
  • 10:12do this with women who
  • 10:13are experiencing intimate partner violence?
  • 10:17So I had,
  • 10:19developed a career development award
  • 10:21to answer that very question.
  • 10:23Is it safe and feasible
  • 10:24to apply this method
  • 10:26with women in the community
  • 10:27who are currently experiencing intimate
  • 10:30partner violence?
  • 10:32It was a ninety day
  • 10:33design driven feasibility study where
  • 10:35we would randomize women to
  • 10:37one of three ways to
  • 10:38give us daily reports. One
  • 10:39was with automated telephone surveys
  • 10:41where they would use the
  • 10:42numbers on their keypads to
  • 10:44enter responses to prerecorded questions.
  • 10:47The second was paper diaries.
  • 10:48Folks, this is almost twenty
  • 10:49years ago. There was no
  • 10:51we did not have iPhones
  • 10:53like we do
  • 10:54now. And so questions were
  • 10:56preprinted.
  • 10:57They would have,
  • 10:59envelopes that were addressed to
  • 11:00us and stamped. We'd capture
  • 11:01the date that they sent
  • 11:02them in. And then also
  • 11:04monthly retrospective interviews because if
  • 11:06we could, in fact,
  • 11:07get accurate information
  • 11:09retrospectively,
  • 11:10why burden people with responding
  • 11:12multiple times a day?
  • 11:14But first, is a safety
  • 11:16study even safe? And Yale's
  • 11:18IRB said, no. It is
  • 11:19not. So I got funded
  • 11:21to do my career development
  • 11:23award, and our IRB said,
  • 11:25no. No. No. No. Absolutely
  • 11:27not. They were concerned that
  • 11:29the paper diaries that women
  • 11:31would take home could increase
  • 11:32risk because of the questions
  • 11:34that were preprinted.
  • 11:36And so,
  • 11:37I was frustrated
  • 11:39and concerned. Though, as Stephanie
  • 11:41mentioned, I've been doing research
  • 11:42with women for twenty years.
  • 11:44I've been working with women
  • 11:45who experienced partner violence since
  • 11:46I was twenty. I'm fifty
  • 11:48two. And I knew that
  • 11:50this was safe to do.
  • 11:52But you can't just say
  • 11:53to the IRB, trust me.
  • 11:56So after I stopped hyperventilating,
  • 11:59Kathy Carroll told me to
  • 12:01take a breath, and in
  • 12:02her infinite wisdom said, propose
  • 12:04a safety study, Tammy. Tell
  • 12:06the IRB
  • 12:07you'll do this with ten
  • 12:09women for two weeks. You'll
  • 12:10have a focus group. You'll
  • 12:11come back and you'll tell
  • 12:12them what you've learned. And
  • 12:13if it's not safe, you
  • 12:15won't proceed.
  • 12:17And so I did breathe,
  • 12:19and we did a mini
  • 12:20safety study to pilot this
  • 12:23and ultimately learned that the
  • 12:25majority of women were not
  • 12:26at all concerned
  • 12:28about having the paper diaries
  • 12:30at home. And of those
  • 12:31that were, they concealed them
  • 12:33as I believed they would
  • 12:35be able to. So IRB
  • 12:36approval was subsequently granted,
  • 12:39and I was allowed to
  • 12:40move forward with this once
  • 12:41daily study for ninety days.
  • 12:44So this safety and feasibility
  • 12:46study, as I explained, we
  • 12:47did randomize people to one
  • 12:49of three groups.
  • 12:50They also did a baseline
  • 12:51interview, and they participated every
  • 12:53day for ninety days telling
  • 12:55us about what happened the
  • 12:56day before, about partner violence,
  • 12:58substance use, and then other
  • 12:59key factors like face to
  • 13:01face contact with their partner
  • 13:02or hospitalization that could limit
  • 13:04the occurrence of partner violence
  • 13:05and substance use. One of
  • 13:07the few slides I'll show
  • 13:08you with sample demographics just
  • 13:09so you get the sense
  • 13:11of the sample,
  • 13:12racially and ethnically diverse.
  • 13:15Most were unemployed.
  • 13:17One note that I will
  • 13:19make
  • 13:20across many of the slides
  • 13:22that I have that have
  • 13:22demographics.
  • 13:25The average duration of a
  • 13:27relationship
  • 13:28at the time they come
  • 13:29in for an interview
  • 13:30in all of my studies
  • 13:32is between
  • 13:33five, and now it's ten
  • 13:34years. It used to be
  • 13:35five and seven years. That's
  • 13:37just the time they come
  • 13:38in. So these are not
  • 13:39quick in and out relationships.
  • 13:41These are established
  • 13:43long standing relationships.
  • 13:45And in terms of the
  • 13:46IPV and substance use in
  • 13:48the sample, the inclusion criteria
  • 13:49were physical IPV, so you'll
  • 13:51see a hundred percent experience
  • 13:52that in the thirty days
  • 13:53before baseline.
  • 13:54But you'll see a range
  • 13:55of IPV severity. Severe physical
  • 13:58victimization, which is being, beaten
  • 14:00up, having a knife or
  • 14:01a gun used on you,
  • 14:04kicked, etcetera,
  • 14:05You can see that. You
  • 14:06can see IPV injuries,
  • 14:08sexual coercion or attempted rape,
  • 14:10rape,
  • 14:11and then you can see
  • 14:12the range of substance use.
  • 14:13They had to have had
  • 14:14at least a sip
  • 14:16of alcohol,
  • 14:18prior to the baseline interview,
  • 14:19the three months before, or
  • 14:21it could have been just
  • 14:22a hit, off a joint
  • 14:24or something like that. Some
  • 14:25substance use, but not substance
  • 14:27use problems.
  • 14:28We did learn from the
  • 14:29study that micro longitudinal
  • 14:31methods are safe. This was
  • 14:33a safety study first and
  • 14:34foremost. Nearly a hundred percent
  • 14:36said their safety was not
  • 14:37put at risk.
  • 14:38One woman said her partner
  • 14:40became suspicious about why she
  • 14:42was on the phone so
  • 14:42much, but it never caused
  • 14:44any problems.
  • 14:45Depending on condition between two
  • 14:47thirds and three quarters
  • 14:49reported that their partners knew
  • 14:51they were participating in a
  • 14:52study, and of those, another
  • 14:54two thirds to three quarters
  • 14:56knew the focus was on
  • 14:57relationship conflict.
  • 14:59Flies in the face of
  • 15:00what we know could see
  • 15:01faces. Flies in the face
  • 15:03of what we know about
  • 15:04media depictions. Would never think
  • 15:05that could be true if
  • 15:06you hadn't worked with this
  • 15:07population.
  • 15:09Speaks to self selection.
  • 15:11Consistent with survivor defined practice
  • 15:13and victim centered services, women
  • 15:15can make their own choices
  • 15:16about what is safe for
  • 15:17them, even in the context
  • 15:19of ongoing abusive relationships.
  • 15:22And yes, these methods are
  • 15:24feasible. Women found it easy
  • 15:25to participate. They said the
  • 15:27ninety day duration was just
  • 15:29right. I'm sure that had
  • 15:29to do with the fact
  • 15:30that we compensated, of course,
  • 15:32for daily participation.
  • 15:35They said the condition specific
  • 15:37training
  • 15:37was appropriate because you do
  • 15:39have to do some training
  • 15:40at the baseline interview, make
  • 15:42sure they know how to
  • 15:42understand those daily questions.
  • 15:44And we had approximately seventy
  • 15:46two percent completion of surveys,
  • 15:48which is high,
  • 15:50for these kinds of studies.
  • 15:52So sorry for the bright
  • 15:53background on this slide, but
  • 15:55this method became foundational to
  • 15:57my program of research.
  • 15:59And since that time, I've
  • 16:01conducted multiple microlongitudinal
  • 16:03studies, have been asked to
  • 16:05be a coinvestigator
  • 16:06on multiple others, and this
  • 16:08is a list of many
  • 16:09of them. I will not
  • 16:10have time to talk about
  • 16:11them all.
  • 16:13I'm gonna start with the
  • 16:14actual findings from that daily
  • 16:16co occurrence or the feasibility
  • 16:18study to talk to you
  • 16:19about the daily co occurrence
  • 16:20of partner violence. Again, this
  • 16:22kind of goes against what
  • 16:23we see in media depictions.
  • 16:25We had two thousand seven
  • 16:26hundred and seventy eight days
  • 16:28of TADA. It's a lot
  • 16:29of data with a micro
  • 16:31method.
  • 16:32And on those two thousand
  • 16:33seven hundred and seventy eight
  • 16:34datas days of data, we
  • 16:36were looking to characterize
  • 16:38day level experiences because back
  • 16:40when I started doing this,
  • 16:41we had no day level
  • 16:42information. That was anecdotal.
  • 16:45What did we learn?
  • 16:47On sixty two percent of
  • 16:49days,
  • 16:50no partner violence occurred. No
  • 16:52physical, sexual, or psychological.
  • 16:54And again, that does not
  • 16:55align with media depictions, but
  • 16:57if you've worked with the
  • 16:59victims, you know that that
  • 17:00is that makes sense. The
  • 17:02next most typical type of
  • 17:04day was characterized by psychological
  • 17:06abuse at twenty seven percent
  • 17:08and then if you combine
  • 17:10psychological abuse with the other
  • 17:12forms of abusive behavior it's
  • 17:13totaled about thirty eight percent.
  • 17:16You can also see here
  • 17:19that it's almost
  • 17:20never the case that physical
  • 17:22abuse occurs
  • 17:24outside of psychological
  • 17:25abuse and sexual abuse, never
  • 17:27does. You can see the
  • 17:28totals. Sexual IPV only point
  • 17:31six days, eighteen days. Physical
  • 17:33only eight days out of
  • 17:34two thousand seven hundred and
  • 17:37seventy eight days. And that
  • 17:38makes sense when we stop
  • 17:39to think about it because
  • 17:41it's very rarely happens that
  • 17:42someone walks into a room,
  • 17:44does something physical. It's typical
  • 17:46that things escalate.
  • 17:47So what is what are
  • 17:48the practical implications of understanding
  • 17:51this? The finding that on
  • 17:52most days, no partner violence
  • 17:52occurs helps to explain the
  • 17:53ambivalence.
  • 17:54Partner violence
  • 17:55occurs helps to explain
  • 17:57the ambivalence that people have
  • 17:57about ending abusive relationships. It
  • 17:58doesn't happen all the time
  • 17:59for most people.
  • 18:01And there are people for
  • 18:02whom it would
  • 18:04be
  • 18:07be safe to end the
  • 18:08abusive relationship.
  • 18:10Right? But this helps us
  • 18:11understand that ambivalence.
  • 18:12The breaks in between incidents
  • 18:14of intimate partner violence
  • 18:16likely promote and still hope
  • 18:17that things are gonna change
  • 18:19just like the abusive partner
  • 18:20promises to do.
  • 18:22These data also help us
  • 18:23understand that psychological IPV warrants
  • 18:26more attention
  • 18:27in intervention and prevention programs
  • 18:30because if we can reduce
  • 18:31psychological IPV,
  • 18:32we are likely to reduce
  • 18:35experiences, events of physical IPV.
  • 18:37And some interventions
  • 18:38have moved on to incorporating
  • 18:40emotion regulation
  • 18:41that includes colleagues here, like
  • 18:44Carla Stover,
  • 18:45for the fathers for change
  • 18:46intervention and some other interventions
  • 18:48as well.
  • 18:50So next, I'm gonna elucidate
  • 18:51daily use of safety strategies
  • 18:53with day level data.
  • 18:55This is also a once
  • 18:56a day ninety day study,
  • 18:58but this is more recent.
  • 18:59This was funded by the
  • 19:00National Collaborative on Gun Violence
  • 19:01Research
  • 19:02to understand the experiences of
  • 19:05explicit and implicit
  • 19:06firearm
  • 19:07threat.
  • 19:09And so here, we're looking
  • 19:10to characterize at the person
  • 19:12and day level their experiences.
  • 19:14There's so much more to
  • 19:15do with this data.
  • 19:17We have we just finished
  • 19:19collecting data
  • 19:21earlier this year last at
  • 19:22the end of last year.
  • 19:23Essentially, this looks like the
  • 19:24other study. It's once a
  • 19:25day for ninety days.
  • 19:27We did conduct this study
  • 19:28during COVID, so anyone who's
  • 19:31conducted a study during COVID
  • 19:32has stories to to tell
  • 19:33about how it didn't turn
  • 19:34out the way it was
  • 19:35designed.
  • 19:37But this was,
  • 19:38first study for women who,
  • 19:40were in a committed heterosexual
  • 19:42relationship within the last three
  • 19:44months. First study I have
  • 19:45ever been able to get
  • 19:46funded with an inclusion criteria
  • 19:48of psychological abuse. Nobody likes
  • 19:50that as an inclusion criteria.
  • 19:52Everybody wants physical abuse to
  • 19:54be the inclusion criteria,
  • 19:55not really understanding that psych
  • 19:57abuse actually can have a
  • 19:58stronger impact on health and
  • 20:00well-being than physical.
  • 20:03They used a smartphone and
  • 20:04downloaded an app to report,
  • 20:06and we have sixteen thousand
  • 20:07one hundred and four responses
  • 20:09provided by two hundred and
  • 20:10forty three women.
  • 20:12These are the strategies that
  • 20:13women use to stop, prevent,
  • 20:16or escape the conflict. We
  • 20:17ask these on a daily
  • 20:18basis. I'm not gonna leave
  • 20:20this up for you to
  • 20:20look at because I will
  • 20:21show the types of strategies
  • 20:23on each slide.
  • 20:24But big picture, again, to
  • 20:26kind of what can you
  • 20:26get descriptively from this data.
  • 20:28Sometimes I think the most
  • 20:30exciting information we get from
  • 20:31studies is the really basic,
  • 20:33boring,
  • 20:34descriptive information.
  • 20:37Seventy nine percent of the
  • 20:38women in this study, again,
  • 20:40some were recruited for psych
  • 20:42abuse alone. Seventy nine percent
  • 20:43used a safety strategy at
  • 20:45some point over those ninety
  • 20:46days.
  • 20:47Thirty eight percent of all
  • 20:49daily surveys were characterized by
  • 20:51the use of a safety
  • 20:53strategy. And the three most
  • 20:55commonly used were placating,
  • 20:58prayer,
  • 21:00and preparing to leave the
  • 21:01relationship, and you can see
  • 21:02those statistics by participants and
  • 21:04by surveys. Right? So sixty
  • 21:06seven percent of participants or
  • 21:08sixty eight percent,
  • 21:09use placating strategies, and those
  • 21:11happened on twenty,
  • 21:13around twenty three percent,
  • 21:15of days or surveys.
  • 21:18And so to look at
  • 21:20the day level placating strategies,
  • 21:22as I just defined from
  • 21:23the table, we had almost
  • 21:24sixty eight percent who used
  • 21:26it in twenty three percent
  • 21:27of surveys where they tried
  • 21:28to keep quiet, stay calm,
  • 21:30pretend that nothing was wrong,
  • 21:32to stop, prevent, or escape
  • 21:34the conflict.
  • 21:35Next was prayer.
  • 21:37Some people might be wondering
  • 21:38how is prayer a safety
  • 21:39strategy. If you wanna ask
  • 21:40questions about that at the
  • 21:41end, we can get to
  • 21:42that, but used by fifty
  • 21:44eight
  • 21:45percent of participants on twenty
  • 21:47five percent of surveys.
  • 21:49Preparing to leave, so packing
  • 21:51a bag, hiding money, having
  • 21:53a code with a neighbor,
  • 21:55was used by almost forty
  • 21:56percent of participants on seventeen
  • 21:59percent of days.
  • 22:00Creating distance, which actually can
  • 22:02be the most,
  • 22:04the riskiest time for participants,
  • 22:07ending or trying to end
  • 22:08the relationship, staying with family
  • 22:10or friends, changing locks, used
  • 22:12by almost forty percent, only
  • 22:14in five percent of surveys.
  • 22:17Weapons related strategies,
  • 22:20in part what the study
  • 22:21was about. This is where
  • 22:22women either
  • 22:24hid a knife or a
  • 22:25gun or had another, weapon
  • 22:27available to protect themselves
  • 22:29or separately, or were they
  • 22:31removed or hid guns or
  • 22:33weapons,
  • 22:34among almost
  • 22:35twenty percent of participants
  • 22:38on almost six percent of
  • 22:39days.
  • 22:40Domestic violence services used by
  • 22:43twenty one percent of women
  • 22:44across four percent of of
  • 22:46days. So going to support
  • 22:47group, having a safety plan
  • 22:49in place, not even just
  • 22:51creating one that day, but
  • 22:52having it in place,
  • 22:53and using the criminal justice
  • 22:55system. So calling the police
  • 22:57or on a day having
  • 22:58a protective or restraining order
  • 23:00in place, only nine percent
  • 23:02and in less than one
  • 23:03percent of daily surveys.
  • 23:05So what does this tell
  • 23:06us in summary?
  • 23:08The most used strategies
  • 23:10are placating prayer and preparing
  • 23:12to leave, important for us
  • 23:14to understand as providers.
  • 23:16The least used criminal justice
  • 23:18system and domestic violence service
  • 23:19providers, which is what we
  • 23:20all think we're gonna do
  • 23:21if we have someone who's
  • 23:23experiencing IPV. Let's we'll refer
  • 23:25them to the local agents
  • 23:26here. We'll have them call
  • 23:27the police. Women do not
  • 23:29want to do that for
  • 23:30lots of reasons that we
  • 23:31can talk about at the
  • 23:32end if you'd like.
  • 23:34Another example of what you
  • 23:35can do with these data
  • 23:36at the day level, and
  • 23:37it's just one example,
  • 23:39that I'm gonna share findings
  • 23:40instead of doing it across
  • 23:42all of them. You can
  • 23:43also look at same
  • 23:45day associations.
  • 23:47So for example, you can
  • 23:48say, on days when intimate
  • 23:50partner violence was experienced, was
  • 23:52there greater odds of using
  • 23:53placating strategies?
  • 23:55So if psych
  • 23:57IPV alone so if a
  • 23:58day was characterized by psych
  • 24:00IPV alone, they were four
  • 24:01point seven times more likely
  • 24:03to use a placating strategy.
  • 24:05If there was physical IPV
  • 24:07that may or may not
  • 24:08have included psychological, There were
  • 24:10five point two greater odds
  • 24:11of a placating strategy.
  • 24:13And sexual IPV days, which
  • 24:16could also have include physical
  • 24:18and psych it's kind of
  • 24:18a hierarchy where sexual is
  • 24:20the the worst is how
  • 24:21it was conceptualized.
  • 24:23The odds increased two point
  • 24:25two percent of placating.
  • 24:27So it's just one example
  • 24:28of other analysis you can
  • 24:30do at the day level
  • 24:31with those data.
  • 24:33We have another study that
  • 24:34looked at day level experiences
  • 24:37among women who are living
  • 24:38with HIV.
  • 24:40When so I do, CME
  • 24:42talks across the state for
  • 24:44providers.
  • 24:45And when I talk about
  • 24:46women living with HIV who
  • 24:48experience partner violence, I actually
  • 24:50encourage people to think about
  • 24:51how this might generalize to
  • 24:52other things, other chronic health
  • 24:55conditions, physical health or behavioral
  • 24:56health, because what I'm gonna
  • 24:57share with you may,
  • 24:59be related to those conditions
  • 25:01as well.
  • 25:02I first want to tell
  • 25:03you about pilot work we
  • 25:04did to inform this day
  • 25:05level study. We actually met
  • 25:07with clients from, at the
  • 25:08time they were called AIDS
  • 25:09service organizations across the state,
  • 25:11and asked women who were
  • 25:12living with intimate partner violence,
  • 25:13how does intimate partner violence
  • 25:15influence your HIV care? And
  • 25:17four themes emerged.
  • 25:19The first was that their
  • 25:20partner actively
  • 25:22interfere in their HIV care.
  • 25:23So he used to make
  • 25:24fight with me and make
  • 25:25me not take my medicines.
  • 25:27Or Jamie Meyer, a colleague
  • 25:28here who's an infectious disease
  • 25:30doc,
  • 25:31worked with women in the
  • 25:32prison. A quote
  • 25:34from one of her clients
  • 25:35is perfect.
  • 25:36Unfortunately, she said my partner
  • 25:38would take my meds and
  • 25:39flush them down the toilet
  • 25:41and say which now you're
  • 25:42gonna die faster.
  • 25:44It doesn't get more direct
  • 25:45than that. But we can
  • 25:46think about what we prescribe
  • 25:48I don't prescribe. What other
  • 25:50people prescribe meds for,
  • 25:52and how that could be
  • 25:53done with any type of
  • 25:54medication for any condition.
  • 25:58Also, a theme was that
  • 25:58partners passively interfere. Well, he
  • 26:00says, you know, he forgets
  • 26:02to take me to my
  • 26:02doctor's appointments.
  • 26:04Right? This kind of passive,
  • 26:06interference.
  • 26:07The third is that self
  • 26:08worth was so affected
  • 26:10that women didn't feel that
  • 26:11self care was important. They
  • 26:13didn't care enough about themselves
  • 26:14to engage in their HIV
  • 26:17care. This was actually the
  • 26:18most endorsed theme among all
  • 26:21of the women who participated.
  • 26:22And again, likely links back
  • 26:24to the psychological
  • 26:25abuse piece. So I wanted
  • 26:27to stop myself from taking
  • 26:28my HIV medication so that
  • 26:30like I could
  • 26:31die. That's how bad my
  • 26:33nerves were, what I was
  • 26:34going through. I just wanted
  • 26:35to like die slowly.
  • 26:38And the fourth was that
  • 26:39physical harm impacted relationships with
  • 26:41service providers. So sometimes it
  • 26:43was always
  • 26:44I was bruised, and then
  • 26:45like I said, I didn't
  • 26:46want anyone to see that,
  • 26:47and I refused to call
  • 26:48the police. So I guess
  • 26:50I was dodging the doctor,
  • 26:51the police, and everything. So
  • 26:54those themes
  • 26:55informed
  • 26:56a study while we proposed
  • 26:57to NIMH,
  • 26:58with Jamie Meyer, who I
  • 26:59invited to
  • 27:01MPI with me. It's a
  • 27:02twice a day study for
  • 27:04thirty two days, understanding the
  • 27:05ways in which partner violence
  • 27:07influences engagement in HIV care.
  • 27:09And so at first, we're
  • 27:10trying to understand at the
  • 27:12day level
  • 27:13what influences
  • 27:14medication
  • 27:15adherence, people taking their HIV
  • 27:17medications, and then second, because
  • 27:19obviously I do not believe
  • 27:21in a one size fits
  • 27:22all model,
  • 27:23how are there subgroups of
  • 27:24women with shared experiences
  • 27:27at that day level, shared
  • 27:28experiences of different factors
  • 27:30that predict medication adherence, that
  • 27:33ultimately influence how they engage
  • 27:35in appointments with their doctors,
  • 27:37and then ultimately their viral
  • 27:39suppression.
  • 27:41So this is gonna characterize
  • 27:43day level experiences
  • 27:47and ultimately
  • 27:48latent classes with latent class
  • 27:50analysis through different and, different
  • 27:52health trajectories.
  • 27:53So this is the study
  • 27:54design. Essentially, they came in,
  • 27:57to a clinic visit with
  • 27:58their HIV care provider.
  • 28:00We did a baseline I
  • 28:01didn't do the anniversary. They
  • 28:02did a baseline,
  • 28:03in person interview,
  • 28:05twice daily,
  • 28:07data collection for thirty two
  • 28:08days. And then eventually, they
  • 28:10would go back in for
  • 28:11a clinic visit at some
  • 28:12point if they weren't out
  • 28:13of care, and they would
  • 28:14come for a follow-up interview.
  • 28:17In total,
  • 28:18a hundred and fifty nine
  • 28:19women participated.
  • 28:21We had fewer who did
  • 28:22the follow-up interviews, but the
  • 28:24beauty of something like this
  • 28:26is viral suppression we grab
  • 28:28from medical records. So it's
  • 28:30unfortunate that people didn't come
  • 28:31in for follow-up interviews, but
  • 28:32we have a primary outcome,
  • 28:34at that level anyway.
  • 28:36In terms of the antiretroviral
  • 28:38regimens, I'll share this because,
  • 28:40for folks who do prescribe,
  • 28:41you're thinking about kind of
  • 28:43the number of times a
  • 28:43day someone, takes medication
  • 28:46is important to understanding adherence.
  • 28:48And so we had four
  • 28:49percent that were not on
  • 28:51any HIV medication,
  • 28:53term I learned from my
  • 28:54colleague. They're what are called
  • 28:55elite controllers.
  • 28:57We had seventy seven people
  • 28:59who are on one pill
  • 29:00a day.
  • 29:01We had three percent that
  • 29:02were on injectables. They actually
  • 29:04were not included in the
  • 29:06daily analysis because their providers
  • 29:07are injecting, so there's not
  • 29:09much to be adherent to.
  • 29:10We had sixteen,
  • 29:11percent that were on more
  • 29:12than one pill a day.
  • 29:15This is another demographic slide
  • 29:16just to help you understand,
  • 29:18the the population a little
  • 29:19bit better.
  • 29:21This is a
  • 29:23it's very diverse sample. It
  • 29:24is a largely
  • 29:26insured
  • 29:27sample,
  • 29:28which is different than in
  • 29:29other states. That's because we're
  • 29:30a Medicaid expansion state and
  • 29:32that influences the care available
  • 29:34to folks,
  • 29:35including,
  • 29:36another benefit is that there's
  • 29:38Ryan White funded,
  • 29:40drug resistant programs that provide
  • 29:42antiretrovirals
  • 29:44and medications for all other
  • 29:45chronic
  • 29:46conditions free of charge to
  • 29:47anyone with HIV.
  • 29:49Ninety eight percent had a
  • 29:50primary care provider.
  • 29:52In this study, they did
  • 29:53not have to be in
  • 29:55a current relationship. They had
  • 29:56to have experienced intimate partner
  • 29:57violence across their lifetime
  • 30:00because what we'll be looking
  • 30:01at is whether it matters
  • 30:03if the partner violence is
  • 30:05current or happened in the
  • 30:06past.
  • 30:07Right? We know that the
  • 30:08effects of intimate partner violence
  • 30:09are long lasting,
  • 30:11and so we wanna understand
  • 30:12that relationship as well.
  • 30:14In this study, fifty eight
  • 30:15percent were currently in a
  • 30:18relationship
  • 30:18at baseline.
  • 30:19This is the study that
  • 30:20bumped that average number of
  • 30:22years in a relationship up
  • 30:23to ten, almost eleven.
  • 30:26Experiences of partner violence, we
  • 30:28have lifetime and recents.
  • 30:30The lifetime experiences,
  • 30:32they had to have experienced
  • 30:33IPV to be in the
  • 30:34study, so you can see
  • 30:35those totals are high.
  • 30:38The percent of time that
  • 30:40folks spend in an abusive
  • 30:42relationship is really depressing. Thirty
  • 30:44one percent. And that's really
  • 30:46an underestimate.
  • 30:47Age was the denominator. Obviously,
  • 30:49you're not you don't have
  • 30:50the ability to be in
  • 30:51an intimate relationship at six
  • 30:52years old or nine years
  • 30:53old.
  • 30:55I guess we could have
  • 30:55calculated it across adult life,
  • 30:57but nonetheless,
  • 30:58spending a fair amount of
  • 30:59time in abusive relationships.
  • 31:01And of those in,
  • 31:03current relationships,
  • 31:05you can see that eighty
  • 31:06four percent of those relationships
  • 31:08are
  • 31:09abusive, and many women have
  • 31:11experienced partner violence in the
  • 31:12past thirty days, psychological, physical,
  • 31:15and sexual.
  • 31:16So in terms of medication
  • 31:18adherence,
  • 31:20we were very fortunate. Our
  • 31:22methods, our support, the way
  • 31:24we train staff, the way
  • 31:26that folks
  • 31:28collaborate in the interviews with
  • 31:29women,
  • 31:30and the incentive structure really,
  • 31:33contributes to people staying engaged
  • 31:35in our studies. And so
  • 31:36we had eighty four percent
  • 31:38of surveys completed, which is,
  • 31:40again, really high.
  • 31:42The mean medication adherence was
  • 31:44seventy seven percent,
  • 31:46and that's calculated out of
  • 31:48thirty one days. And, of
  • 31:49course, people miss surveys sometimes.
  • 31:51If they missed a survey,
  • 31:52we included that, as a
  • 31:54day that they were nonadherent
  • 31:56to be conservative.
  • 31:57So it's likely that adherence
  • 31:58is even higher.
  • 32:00Perfect adherence is at fourteen
  • 32:01percent.
  • 32:03So this is a study
  • 32:04on IPV, and we wanted
  • 32:05to look at the difference
  • 32:06of IPV on adherent days
  • 32:08and not adherent days. This
  • 32:10is not sophisticated. There's we
  • 32:12didn't even do statistical comparisons.
  • 32:14We would have to nest
  • 32:15we the statistician would have
  • 32:16to nest data. I don't
  • 32:17do the statistics.
  • 32:19And, we didn't do that
  • 32:21here. We're just visually depicting
  • 32:22what you can see on,
  • 32:24nonadherent days versus adherent days.
  • 32:26It's the same in the
  • 32:28chart as it is in
  • 32:29the table. Some people are
  • 32:30visual. And, essentially, you can
  • 32:32see on nonadherent days, it's
  • 32:34more likely that IPV
  • 32:36occurred. Again, these are not
  • 32:38statistical comparisons.
  • 32:40But you can see
  • 32:41that nonadherent days had more
  • 32:44minor physical IPV, severe physical
  • 32:46IPV,
  • 32:47sexual IPV, and psychological
  • 32:50IPV
  • 32:51than those nonadherent
  • 32:53days. When you move to,
  • 32:56when you move to look
  • 32:58at
  • 32:59substance use, because we know
  • 33:00there's an intersection of HIV,
  • 33:02IPV, and substance use. When
  • 33:04you look at substance use,
  • 33:05you actually see something very
  • 33:07different.
  • 33:08Right? You can see that
  • 33:09drinking days,
  • 33:10marijuana days, misusing prescription drugs,
  • 33:13those look about the same.
  • 33:15And
  • 33:17when for the non adherent
  • 33:18days.
  • 33:19When you get to illicit
  • 33:21drug use, though, it looks
  • 33:23the same for drinking
  • 33:25marijuana prescriptions,
  • 33:27but illicit drug use,
  • 33:29again, not statistical comparisons, but
  • 33:32we see what looks like
  • 33:33it could be a significant
  • 33:35difference.
  • 33:36Eight, fifteen percent of nonadherent
  • 33:39days were characterized by illicit
  • 33:40use versus three percent of
  • 33:42adherent days.
  • 33:43Really important for substance use
  • 33:45providers to understand that information.
  • 33:49What can you do next
  • 33:50with these data? That's day
  • 33:51level data.
  • 33:52I'm guessing that some of
  • 33:54you are wondering, well, what
  • 33:55about people who
  • 33:57yes. What about people who
  • 33:58we can understand person level
  • 34:00factors as moderators
  • 34:02of those within
  • 34:03day
  • 34:05relationships. So we can understand
  • 34:06how trust in physician
  • 34:08might impact some of those
  • 34:09day level relationships.
  • 34:11Someone's resilience, someone if has
  • 34:13a higher level of resilience
  • 34:14compared to someone with lower,
  • 34:15does that impact medication adherence?
  • 34:18Mental health. We know that
  • 34:20among women who experience intimate
  • 34:22partner violence, about a third
  • 34:23typically meet criteria for post
  • 34:25traumatic stress disorder,
  • 34:27but regardless of if they
  • 34:28meet diagnostic criteria,
  • 34:30about eighty percent
  • 34:32experience functional impairment on a
  • 34:35daily basis because of their
  • 34:36PTSD symptoms. And we can
  • 34:38think about that with other
  • 34:39mental health issues.
  • 34:41Problematic drinking,
  • 34:43you might be thinking you
  • 34:44just showed drinking. I showed
  • 34:45you whether or not someone
  • 34:47drank on a given day.
  • 34:48It could be that people
  • 34:49who drink problematically,
  • 34:52are less adherent at the
  • 34:53day level,
  • 34:55and that may or may
  • 34:55not be related to actual
  • 34:57use on a given day,
  • 34:58or we could look at
  • 34:59participants who have current abusive
  • 35:01partners versus those who don't.
  • 35:02So lots of ways to
  • 35:04explore how personal level factors
  • 35:07influence day level associations.
  • 35:09So next to talk about,
  • 35:12subgroups of women with shared
  • 35:13experiences.
  • 35:15These data were from a
  • 35:16four times, yes, four times
  • 35:18a day,
  • 35:19daily study for thirty days.
  • 35:21I'm only, using data for
  • 35:23the first fourteen days. I
  • 35:24can explain why at the
  • 35:25end if people have questions.
  • 35:26But trying to identify subgroups
  • 35:28of people based on their
  • 35:29shared daily experiences and show
  • 35:31you a really cool data
  • 35:32visualization
  • 35:33program.
  • 35:34So the gap is that
  • 35:35I showed you day level,
  • 35:38information at the beginning, like
  • 35:40sixty two percent of no
  • 35:41IPV days, then psych abuse,
  • 35:43etcetera. But what about at
  • 35:44the person level? How do
  • 35:45those things group within person?
  • 35:47So this is an exploratory
  • 35:49late in class analysis,
  • 35:51and we use the interval
  • 35:53level data, much more accurate
  • 35:55level data to inform
  • 35:57these analyses. And we found
  • 35:59that three subgroups
  • 36:01of women with shared patterns
  • 36:02of experiences
  • 36:03emerged. The yellow orange,
  • 36:06bar at the bottom is
  • 36:08the largest class,
  • 36:09and that's a hundred and
  • 36:10eighteen people.
  • 36:12And that's essentially low level,
  • 36:14physical abuse. So you can
  • 36:16see,
  • 36:17you can see psychological IPV,
  • 36:20minor physical and severe physical.
  • 36:21Severe almost never happens in
  • 36:23this group. There's some sexual,
  • 36:25very low levels of PTSD
  • 36:27related distress, some alcohol and
  • 36:29drug use, which was an
  • 36:30include
  • 36:31inclusion criteria for this study.
  • 36:33The blue line,
  • 36:35is ninety seven women. It's
  • 36:37polyvictimization.
  • 36:38Basically, just like lots of
  • 36:39latent class analysis,
  • 36:41that mirrors the patterns of
  • 36:43the lower class. It's just
  • 36:44more severe. But, again,
  • 36:46minor physical abuse tends to
  • 36:47happen more often than severe
  • 36:49physical abuse, some PTSD related
  • 36:51to stress, and substance use.
  • 36:53And then we have the
  • 36:54salmon class at the top,
  • 36:55which has twenty
  • 36:57nine folks. It's the smallest
  • 36:59class.
  • 37:00However,
  • 37:01it's what matches the media
  • 37:03depictions the closest.
  • 37:05Right? But it's the smallest
  • 37:06class,
  • 37:07and that's where we see
  • 37:09high levels of psychological abuse,
  • 37:11minor and severe physical abuse
  • 37:13which occurred about
  • 37:15the same
  • 37:16level.
  • 37:17So it is happening frequently
  • 37:18and it's happening at about
  • 37:19the same level. We can
  • 37:21see sexual IPV, PTSD related
  • 37:23to stress and substance use.
  • 37:25So, again, the media depiction
  • 37:27matches the smallest class.
  • 37:30This is the program that
  • 37:31is super cool. It was
  • 37:32introduced to me by Seth
  • 37:33Posner who is in our
  • 37:35department
  • 37:36many, many years ago,
  • 37:38was not able to use
  • 37:39it at that time, but
  • 37:41worked
  • 37:44with,
  • 37:45a fellow here who's now
  • 37:46a colleague who taught herself
  • 37:48this program.
  • 37:50Super cool. You can put
  • 37:51in day level or interval
  • 37:53level data,
  • 37:55and you can see here
  • 37:56this is class one, class
  • 37:57two, and class three, and
  • 37:58it's showing you any IPV
  • 38:00occurrence.
  • 38:01This column
  • 38:02is the yellow is psycho
  • 38:04occurrences of psychological IPV. The
  • 38:06blue is minor physical. The
  • 38:08salmon is severe physical and
  • 38:09then sexual. So you can
  • 38:10see in class one, it's
  • 38:11mostly psychological
  • 38:13abuse.
  • 38:14The salmon, you could see
  • 38:15some severe physical, a tiny
  • 38:17bit of sexual.
  • 38:18Class two, you see a
  • 38:19little bit more minor. In
  • 38:21class three, that smallest class,
  • 38:23you see a lot of
  • 38:24dark blue. You see a
  • 38:25lot of salmon.
  • 38:26That's,
  • 38:28the minor and severe. And
  • 38:29you can see this much
  • 38:31better visually,
  • 38:32with this visualization program. And
  • 38:34this is PTSD,
  • 38:36any PTSD related to stress.
  • 38:38And if you look down
  • 38:39the classes, class one, two,
  • 38:41and three, you can see
  • 38:43that elevated
  • 38:44PTSD
  • 38:45related to stress,
  • 38:47happens more often in those
  • 38:48other classes.
  • 38:51So moving on to associations
  • 38:53of PTSD symptoms at the
  • 38:55interval level and alcohol use.
  • 38:57So, again, this is that
  • 38:58same four times a day
  • 39:00study
  • 39:01to identify
  • 39:02proximal and contingent
  • 39:04relationships.
  • 39:05So my program of research
  • 39:06that centered on substance use
  • 39:08really focuses on the self
  • 39:09medication or negative reinforcement model
  • 39:11of substance use.
  • 39:13And that's been applied to
  • 39:14explain the PTSD alcohol relationship
  • 39:17at the cross sectional level,
  • 39:19traditional longitudinal level, and in
  • 39:21some micro longitudinal data in
  • 39:22other populations
  • 39:23like veterans,
  • 39:25but not women who experience
  • 39:27IPV.
  • 39:28There's also an alternative
  • 39:29model, which is mute mutual
  • 39:31maintenance,
  • 39:33whereby
  • 39:34it's believed that substance use
  • 39:36also exacerbates
  • 39:38PTSD symptoms. And this was
  • 39:40supported in data among veterans
  • 39:42again, but had not been
  • 39:43tested with women who experienced
  • 39:44IPD.
  • 39:45First of all, what's an
  • 39:46interval? Well, for this study,
  • 39:48we had four different call
  • 39:50in times. They were allowed
  • 39:51to call in during this
  • 39:53reporting window and then report
  • 39:55back
  • 39:56to a previous period. When
  • 39:57we piece those four previous
  • 40:00periods together,
  • 40:01we get twenty four hours.
  • 40:02So it covers an entire
  • 40:03day. It's called coverage based
  • 40:05sampling.
  • 40:07The data analysis, the data
  • 40:09were collected at the interval
  • 40:10level. They're nested in the
  • 40:11day level and then at
  • 40:12the person level.
  • 40:15And this, again, is that
  • 40:17hypothetical
  • 40:18graph at the beginning, which
  • 40:20we actually did end up
  • 40:21testing with real data.
  • 40:24The purpose was to examine
  • 40:25the associations among PTSD symptoms
  • 40:27severity and drinking. And so
  • 40:29we did that through looking
  • 40:30at concurrent models. What's a
  • 40:31concurrent model?
  • 40:34So basically, we're trying to
  • 40:35understand our within day fluctuations
  • 40:38from the day's overall mean
  • 40:40levels of PTSD symptom severity
  • 40:42related to average level of
  • 40:44drinking during an interval. Basically,
  • 40:46when you're looking within an
  • 40:47interval, you're doing cross sectional
  • 40:49data analysis at a really
  • 40:51precise period of
  • 40:53time. And so that's this
  • 40:54depiction here. Meaning, when PTSD
  • 40:56symptoms are elevated during the
  • 40:58late afternoon, for example, is
  • 41:00drinking also elevated during that
  • 41:02time point?
  • 41:04We also examine time lagged
  • 41:06models,
  • 41:07are within day relative levels
  • 41:08of PTSD symptom severity related
  • 41:11to changes
  • 41:12in drinking in a subsequent
  • 41:14interval. So, again, if you
  • 41:16are looking at PTSD symptom
  • 41:17severity in interval three, is
  • 41:19that associated with drinking in
  • 41:20interval four?
  • 41:22The short answer is yes
  • 41:24and yes.
  • 41:26There without the statistics embedded,
  • 41:28there were both concurrent
  • 41:30and time lagged relationships where
  • 41:32fluctuations in PTSD symptoms
  • 41:35influenced
  • 41:36alcohol use. We also tested
  • 41:38differences by race,
  • 41:39and ethnicity.
  • 41:41As moderators, there were no
  • 41:42differences. And the papers noted
  • 41:44here because we did look
  • 41:45at other moderating effects,
  • 41:46like by whether or not
  • 41:47someone met criteria for PTSD
  • 41:49and there were actually moderating
  • 41:51effects.
  • 41:52So in terms of assessment
  • 41:54and methods
  • 41:55benefits, so we are we're
  • 41:56talking about finding out things
  • 41:58about populations. How are things
  • 41:59related within an individual?
  • 42:02But you can also use
  • 42:03this method to better understand
  • 42:05what we're doing when we're
  • 42:07assessing
  • 42:08behaviors more broadly in other
  • 42:10studies.
  • 42:11So this was a three
  • 42:12times a day study for
  • 42:13thirty days. This was actually,
  • 42:15conducted by a past fellow,
  • 42:17now colleague
  • 42:19of mine.
  • 42:20This was her career development
  • 42:21award,
  • 42:22and it's focused on,
  • 42:25IPV, emotion regulation, PTSD, and
  • 42:27substance use.
  • 42:28Here, we're talking about how
  • 42:30assessment information can inform future
  • 42:32work.
  • 42:34So this is looking at
  • 42:35the concordance
  • 42:36of PTSD
  • 42:38symptoms assessed
  • 42:39via
  • 42:40retrospective reports, so at a
  • 42:42follow-up interview? And how does
  • 42:43that map on to what's
  • 42:45collected at the day level?
  • 42:48Are they the same? Right?
  • 42:49Because a lot of us
  • 42:50do traditional longitudinal designs, cross
  • 42:52sectional designs. When we ask
  • 42:53someone, tell me about your
  • 42:55symptoms,
  • 42:55does it match what they
  • 42:57would tell us at the
  • 42:58day level?
  • 43:01So there's a way to
  • 43:02conceptualize this. It's Schueller's category.
  • 43:05The reference is at the
  • 43:06bottom for the Schueller category,
  • 43:07but, PTSD symptom patterns can
  • 43:09be conceptualized
  • 43:10in six different ways.
  • 43:12You can sum across all
  • 43:13of those,
  • 43:15interval surveys to get a
  • 43:16mean of all PTSD symptoms.
  • 43:18You can look at peak
  • 43:20symptoms like what is the
  • 43:21worst day of the one
  • 43:23report among all of the
  • 43:25completed surveys where the sum
  • 43:26of PTSD symptoms were the
  • 43:28highest.
  • 43:29What's the mean of PTSD
  • 43:31symptoms that would be average
  • 43:32daily peak. There's the worst
  • 43:34day of symptoms. There's,
  • 43:35primacy, which is the first
  • 43:37week they reported symptoms and
  • 43:38the last week they reported
  • 43:39symptoms.
  • 43:40Right? What did we find?
  • 43:41Are they concordant?
  • 43:43The short answer is that
  • 43:44they're not.
  • 43:45They are not concordant. Retrospective
  • 43:47reports differ
  • 43:49and they most closely
  • 43:51reflect that peak survey over
  • 43:54thirty days. That one where
  • 43:55this that one survey where
  • 43:57the symptoms were the highest.
  • 43:59So when we gather information
  • 44:00retrospectively
  • 44:01for PTSD symptoms, at least
  • 44:03in this population, what we're
  • 44:05seeing is it reflects that
  • 44:06worst survey of all of
  • 44:08the past thirty days.
  • 44:09Next, it's followed by the
  • 44:11worst day symptoms,
  • 44:12but it substantially
  • 44:14differed from average
  • 44:15symptoms across,
  • 44:17which is kind of what
  • 44:18some of us would have
  • 44:19expected. We would have expect,
  • 44:20oh, people just give us
  • 44:21an average when they retrospectively
  • 44:23report. Apparently, they do not,
  • 44:25and this method helps us
  • 44:26figure that out.
  • 44:28There's another assessment
  • 44:31benefit. Right now so, doctor
  • 44:33O'Malley mentioned that I'm starting
  • 44:34to do intervention research, and
  • 44:36we developed,
  • 44:37this really
  • 44:39cool single session technology
  • 44:42facilitated intervention that aims to
  • 44:44promote hope among women who
  • 44:45experience intimate partner violence. And
  • 44:48instead of doing traditional pre
  • 44:50post,
  • 44:52we did once a day
  • 44:53for fourteen days pre and
  • 44:55post to better represent experiences.
  • 44:58So there's a baseline interview.
  • 45:00They do fourteen days of
  • 45:02daily data collection.
  • 45:04They complete the single session
  • 45:06intervention. We do a process
  • 45:07evaluation
  • 45:08survey right after, and then
  • 45:09they do fourteen days of
  • 45:11daily reports of hope after.
  • 45:13In a traditional study, we
  • 45:15probably would do baseline,
  • 45:17end of some longer period,
  • 45:19and maybe even an immediate.
  • 45:22But instead here,
  • 45:24we're
  • 45:24looking at the daily reports,
  • 45:26and that still gives us
  • 45:27the opportunity to aggregate them.
  • 45:29We can still aggregate over
  • 45:30those fourteen days, perhaps just
  • 45:31getting more,
  • 45:32reliable information,
  • 45:34reduces recall bias and improves
  • 45:36ecological validity because they're reporting
  • 45:38on a daily basis.
  • 45:40But it probably misses variability.
  • 45:43And we can look at
  • 45:44more precisely
  • 45:45at the day level. And
  • 45:47to sell myself out, to
  • 45:48be honest, we know the
  • 45:49day level is actually not
  • 45:50specific enough anyway. But when
  • 45:52you are limited by resources
  • 45:53and a funder,
  • 45:55once a day was the
  • 45:56best that we could do.
  • 45:57We know that we need
  • 45:58to look at this more
  • 45:59than once a day. So
  • 46:02what do we see if
  • 46:03we look at the person
  • 46:04level, if we aggregate to
  • 46:06those fourteen days on one
  • 46:07of the daily questions that
  • 46:08gets at Hope, one or
  • 46:10two. So yesterday, I had
  • 46:12inner strength. That's the aggregate
  • 46:14pre and the aggregate post.
  • 46:16Yesterday, I believe today, would
  • 46:18be better. Aggregate pre and
  • 46:19aggregate post. So I was
  • 46:21super sad when I saw
  • 46:23this, and I was like,
  • 46:24this can't be. Like, there's
  • 46:25nothing there.
  • 46:27And this is not testing
  • 46:29for difference, but is there
  • 46:30really even a need?
  • 46:32They look nearly identical. You
  • 46:34can see that there's more
  • 46:36variability post SSI, and there
  • 46:37could be something to that
  • 46:39as I've been introduced to
  • 46:40the broaden and build theory.
  • 46:43But nonetheless
  • 46:44was disappointing
  • 46:45and was actually quite stressful
  • 46:47because I had just been,
  • 46:48funded by the Office on
  • 46:50Violence Against Women
  • 46:52for another micro longitudinal study
  • 46:54identifying broadly
  • 46:56what factors predict hope at
  • 46:58the day level. So if
  • 46:59there's no variability in hope,
  • 47:00I cannot ethically take money
  • 47:02to do a day level
  • 47:03study of hope.
  • 47:05So I
  • 47:06I was a little nervous,
  • 47:08and,
  • 47:09asked if we could take
  • 47:10a look at that day
  • 47:11level variability. And I'm not
  • 47:13showing you this for any
  • 47:15other reason than to say
  • 47:16there's day level variability in
  • 47:17hope. We know there is.
  • 47:19It's there.
  • 47:20But if we take this
  • 47:21one step further, what does
  • 47:23daily data allow us to
  • 47:24do? I don't actually have
  • 47:26any cool findings to show
  • 47:27you. This study is an
  • 47:28active data collection,
  • 47:30right now, and it's just
  • 47:31a pilot study. But what
  • 47:33can you understand at the
  • 47:34day level when you plot
  • 47:35this information out?
  • 47:37So this is person four
  • 47:38zero zero seven o. These
  • 47:40are crude,
  • 47:41figures.
  • 47:43This person completed the intervention
  • 47:44on day sixteen. So if
  • 47:46you imposed a line right
  • 47:47here to look at completion,
  • 47:49you would see that after
  • 47:50the intervention, there's less variability
  • 47:52on how much inner strength
  • 47:54this person had.
  • 47:55And in terms of when
  • 47:57they talked,
  • 47:58down to themselves,
  • 48:01they don't really seem
  • 48:03to have a different experience
  • 48:04of their inner strength. Their
  • 48:05negative self talk doesn't seem
  • 48:07seem to be influencing
  • 48:09their assessment of their inner
  • 48:11strength. This top one, again,
  • 48:13it's the same daily assessment
  • 48:15of their inner strength. The
  • 48:17green here is whether their
  • 48:18partner was psychologically
  • 48:20abusive, and this person doesn't
  • 48:21seem to be that influenced
  • 48:23by their partner's psychological abuse.
  • 48:25They stay pretty
  • 48:27fairly even. And the same
  • 48:29is true,
  • 48:30in terms of whether or
  • 48:31not they have social support.
  • 48:33Doesn't really seem to be
  • 48:34moving the needle a lot
  • 48:35on whether or not they
  • 48:36felt they had inner strength.
  • 48:38So this is one type
  • 48:39of person.
  • 48:41This is a different type
  • 48:43of person. This person completed
  • 48:45the intervention on day fourteen.
  • 48:47You could see there's a
  • 48:48little bit less variability in
  • 48:50inner strength toward the end.
  • 48:52There seems to be less
  • 48:53of an impact of them
  • 48:55talking down to themselves. The
  • 48:56green line is them talking
  • 48:57down to themselves.
  • 49:00This is their partner's psych
  • 49:01abuse. They don't have a
  • 49:02lot of psych abuse.
  • 49:04You can see their social
  • 49:05support.
  • 49:06This individual has experiences
  • 49:09of social support,
  • 49:11but you're not you could
  • 49:12see something different than that
  • 49:13first person who stayed very
  • 49:15even and gives us ideas
  • 49:16about how to think about
  • 49:18the influence of factors on
  • 49:19hope. And then here's another
  • 49:21person. There's less variability in
  • 49:23inner strength,
  • 49:24and we can see differences,
  • 49:26in how
  • 49:28their negative self talk, psychological
  • 49:30abuse,
  • 49:31and social support might or
  • 49:33might not influence.
  • 49:34So again, this one was
  • 49:35just to show you, like,
  • 49:36when you look at the
  • 49:37person level, it also gives
  • 49:38you ideas about how to
  • 49:40better understand,
  • 49:41the relationships at the day
  • 49:42level.
  • 49:44So in brief or in
  • 49:45sum,
  • 49:46key take home findings. First
  • 49:48and foremost, it's important to
  • 49:50me to communicate that heterogeneity
  • 49:52exists
  • 49:53among women who experience intimate
  • 49:55partner violence. It's certainly not
  • 49:56just the media depiction, not
  • 49:58a one size fits all.
  • 50:00That psychological
  • 50:01IPV deserves greater attention. We
  • 50:03know how it influences
  • 50:05day level behaviors. We also,
  • 50:06I, a long time ago,
  • 50:07published a paper that showed
  • 50:09it was a stronger predictor
  • 50:10of PTSD
  • 50:11in this population than physical
  • 50:13and sexual abuse. We need
  • 50:14to attend to it more
  • 50:15than research
  • 50:16in research.
  • 50:18We need to think about
  • 50:19safety strategies beyond calling the
  • 50:21police and using domestic violence
  • 50:22services because that's not what
  • 50:24folks typically wanna do on
  • 50:25a daily basis.
  • 50:27We do know that IPV
  • 50:28at the day level seems
  • 50:29to influence medication adherence.
  • 50:32We'll test this again when
  • 50:33we can get into data
  • 50:34analysis.
  • 50:35Negative reinforcement
  • 50:37models do fit for this
  • 50:38population.
  • 50:39Mutual maintenance does not. It
  • 50:41does not seem that for
  • 50:42alcohol at least that that
  • 50:43exacerbates PTSD symptoms
  • 50:46and that retrospective reports of
  • 50:48PTSD symptoms really represent peak.
  • 50:51Right?
  • 50:53Also, take home that's important
  • 50:54to me is that survivor
  • 50:56defined practices where clients have
  • 50:58voice and choice,
  • 51:01empower people and do not
  • 51:02seem to increase risk. In
  • 51:03other presentations, I've actually talked
  • 51:05about our risk protocol for
  • 51:06the firearm study. I was
  • 51:08not waiting until the IRB
  • 51:09told me no thank you
  • 51:10after I just got almost
  • 51:11three million dollars.
  • 51:13So we prepared what we
  • 51:15think is an amazing protocol
  • 51:16soon, to be published,
  • 51:18about risk. Women can make
  • 51:20their own choices about what
  • 51:21they wanna do, and how
  • 51:23to stay safe.
  • 51:25And thankfully, that means about
  • 51:26when they stay in a
  • 51:27relationship and when they leave
  • 51:28as well, and we know
  • 51:30that from our practical work.
  • 51:31Also, that micro longitudinal designs
  • 51:33are really cool. It is
  • 51:35nearly impossible for me to
  • 51:36conceptualize
  • 51:37a study where a micro
  • 51:39longitudinal design would not be
  • 51:41better than a traditional retrospective,
  • 51:44design or traditional longitudinal
  • 51:46design. The challenge is finding
  • 51:47the resources to pay for
  • 51:48them because they are more
  • 51:50costly.
  • 51:51Many,
  • 51:52of
  • 51:53the micro longitudinal studies that
  • 51:55are done really have strong
  • 51:56clinical implications. There is a
  • 51:58growing body of research
  • 51:59on suicidal ideation and behavior,
  • 52:01and you can imagine how
  • 52:03pinpointing
  • 52:04those factors that increase risk
  • 52:05are really important to informing
  • 52:08interventions,
  • 52:09including just in time interventions.
  • 52:11So I will wrap up
  • 52:13there and say thank you
  • 52:14for your time and attention,
  • 52:15and I think we have
  • 52:16time for questions.