Present: Abby
Crocker, Kairn Kelley, Amanda Kennedy, Rodger Kessler, Charlie MacLean, Ben
Littenberg, Connie van Eeghen (updated in a conversation with Peter Kreiner
3/15/13)
1.
Start Up: New
data sources out on health behavior and geo-locations available (driver license
data – 18 states); Ben has the details.
2.
Presentation: Charlie
– Research Question
a. Charlie
reviewed the priorities that he, Liz, and Neil have:
i.
Opiates Pharmaco-epi
ii.
Workforce snapshot: estimating efforts, locations, and
distributions of providers throughout the state, based on claims. To be used as a forecasting tool for AHEC,
Blueprint, Green Mountain Care Board
1. Licensure
data has data problems: low response rate for survey data
2. This
clean-up process is a necessary precursor to using VHCURES for other analytical
projects
iii.
(Atypical antipsychotics – included in the request for
opiate data, see i above)
iv.
Back pain: Sharon Henry (RMS) for PT visits and costs
b. Current
operational
i.
Clean up provider data: next 4 weeks (plan for end of
May)
ii.
Patient data need to be cleaned?
c. Opiate
data:
i.
2 – 3 years of data, all VT insured patients including
part D Medicare (no cash)
ii.
Based on a claim for at least one opiate
iii.
Data: drug claim, patient demographics, prescription
and prescriber data
d. Outcomes
we could study:
i.
Natural history of acute opiate use converting to
chronic – descriptive study
ii.
Survival analysis: first fill of prescription to last
1. What
proportion of acutes become chronic users?
2. What
variables describe chronic users (age, gender, increase/decreased use,
co-interventions: psych meds, nicotine replacements, heart disease…)
3. May
be able to develop a prevalence indicator, over years and seasons, compared to
census data (zipcode, age, and sex adjusted) including median income
iii.
Opiate intensity over time: morphine equivalence based
on prescribed dose.
Added after discussion with Peter
Kreiner
iv.
Cross-validate against EHR/Claims
v.
Multiple interrupted time series by state of health
outcomes (e.g. adverse events [deaths, overdoses…], questionable activity, red
flags…)
vi.
Multiple interrupted time series by state of
prescribing changes (red flags)
vii.
Get use data (FL?) as predictor and provider or patient
level red flag data (future request)
e. Future
data request:
i.
Entire med list
ii.
Diagnosis – from office visits or procedures; messier
data
f. Next
steps:
i.
Workplan
1. IRB
approval – CM/pending
2. Literature
review: restrict to epidemiology – Amanda & Kairn/mid-May, to include the
Introduction section to the manuscript
a. Sources:
CDC – MMWR, VPMS annual report
b. Check
MeSH headings for opioids, acute, chronic, longitudinal
c. Develop
a search strategy
d. Original
research and reviews… for the reviewers to decide
e. Abby
and Charlie have supplemental Endnote libraries
3. Protocol
and Methods, one for each research area (to define variables & statistical
process)
a. Charlie
to provide data dictionary and field values
b. Natural
history: Charlie, Ben, Abby, & Rodger/Sylvie to set up 1st
meeting on or after April 8 for an hour; protocol outline done and methods
section sketched by 3rd week of April
i.
Consider developing the protocol for #3 at the same
time (opiate dose/intensity)
c. Prevalence
of Opiate use by zip/census (consider clustering the data by region/primary
care service areas)
4. Data
cleaning and creating variables – Charlie/mid-April
5. Merging
census (not needed for research areas 1 and 3) -
6. Analysis
– To be started at CROW May 9
a. Intro
and Methods sections need to be complete by this date
7. Report
writing – completed by end of May 2013
a. Project
coordinator/communicator and Lead Author: Abby Crocker
b. Last
author: Charlie (remainder of us will listed be alphabetically)
ii.
NAPCRG annual meeting in Fall 2013 in Ottawa (North
America Primary Care Research Group); deadline for abstracts is in April 17th
1. Charlie
to submit FAHC data
2. Amanda
to submit caffeine study – maybe?
3. Connie
to submit Opiate Rx Management QI study results
g. Peter
Kreiner update meeting (3/15/13)
i.
His data bases include 3 states: CA, FL, and ME (more
history), going back several years (at least 2011 on)
ii.
HID is the vendor for two of these states (same as VT)
iii.
Data are in different formats but all are SAS readable;
could generate a SAS transport data set.
CDC has asked for an on-line portal to access the data.
iv.
A request for data would go through an oversight
committee of federal and state partners (they meet monthly by phone) who would
review the protocol. The data could be
transferred through the UVM FTP site.
Brandeis IRB protocol already in place.
v.
All records have patient identifier, year of birth,
zip, NDC, provider identifier, provider zipcode, quantity, refills, pharmacy
identifier, pharmacy zipcode, payment source
1. CDC
has provided a red book (2011); to be replaced with a broader set of NDC codes
for 2012 (subscription is ~$15,000/year) to translate the NDC code into drug
and drug category
2. DAWN
data set is another possible source with NDC data
vi.
Peter will share the elements of the standard reports
with Charlie and Ben
1. Multi-state
studies would require HID support, as the DEA number is not available in the
data set
vii.
Possible research topics discussed from CROW meeting
above. Possible work plan:
1. Conduct
study using VHCURES all payor data set on the Natural History of Acute Opiate
Use (Peter indicated that this is high in the Novel part of FINER. Peter has seen only one such research paper [from
Maine] which involved the loss of the PDMP for a short period of time.)
2. Request
for similar data from Brandeis. No cost
estimate at this time; may be part of collaborative work done jointly. May result in a fundable grant submitted
jointly.
3. Follow
up plans could include cross-state comparisons, selection of likely
interventions resulting in RO1 proposal.
Peter was interested. Some
research funding is currently available, depending on the proposal. Other states are coming along: Delaware, TX, …
a.
Mar 21: Kairn: F31
b.
Mar 28: Abby: Dissertation Dry Run (will start at 2p,
on schedule – new location?)
c.
May 9: Charlie: Exploration of analytical plan for
Natural History of Acute Opiate Use (and perhaps more)
d. Future
agenda to consider:
i.
Christina Cruz, 3rd year FM resident with
questionnaire for mild serotonin withdrawal syndrome?
ii.
Peter Callas or other faculty on multi-level modeling
iii.
Charlie MacLean: demonstration of Tableau
iv.
Journal article: Gomes, 2013, Opioid Dose and MVA in
Canada (Charlie)
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