Development of a Risk Prediction Screening Tool for Opioid-Prescription Injury (STOP Injury) in Older Adults Initiated on Opioids From the Emergency Department
| Status: | Recruiting |
|---|---|
| Conditions: | Hospital |
| Therapuetic Areas: | Other |
| Healthy: | No |
| Age Range: | 55 - 120 |
| Updated: | 3/31/2019 |
| Start Date: | March 4, 2019 |
| End Date: | March 2021 |
| Contact: | Michelle Lott |
| Email: | Michelle.Lott@jax.ufl.edu |
| Phone: | 904-234-1877 |
The long-term goal of this project is to promote responsible opioid prescribing, immediately
improving patient safety and ultimately decreasing healthcare costs by reducing older adult
morbidity and mortality due to opioid-related injury. The objective of this pilot project is
to gather data to inform the development of the STOP Injury tool and evaluate additional
predictive factors and important outcomes relevant to prescription opioids.
improving patient safety and ultimately decreasing healthcare costs by reducing older adult
morbidity and mortality due to opioid-related injury. The objective of this pilot project is
to gather data to inform the development of the STOP Injury tool and evaluate additional
predictive factors and important outcomes relevant to prescription opioids.
The experience from this project will lay the groundwork on prospective validation of STOP
Injury in a large appropriately powered study. Aim 1 will provide data that will help narrow
inclusion of candidate variables in the STOP Injury tool to include those that are most
feasible to collect and most predictive. Aim 2 will help inform the possible inclusion of
genetic factors into a predictive model. Finally, Aim 3 will help identify quality of life
outcomes that should be considered when assessing opioid medication adverse events.
Aim 1. Evaluate the association between prescription opioid adverse events in older adults
and candidate risk prediction variables proposed for STOP Injury prediction score The study
team will conduct a pilot prospective observational study of 200 patients 55 years or older
who are initiated on opioids from the emergency department (ED). The investigators will
analyze the association between candidate risk factors and opioid adverse events (falls and
OD).
Aim 2. Evaluate the association between prescription opioid adverse events and genetic
factors.
In the cohort from Aim 1, the study team will test subjects for 12 genetic single nucleotide
polymorphisms related to opioid metabolism, transport, and effect.
Aim 3. Measure the impact of opioid medications on quality of life measures in older adults
The investigators will implement a series of quality of life measures on a subset of patients
as a pilot study to determine which measures capture the impact prescription opioids have on
older adults' quality of life
Injury in a large appropriately powered study. Aim 1 will provide data that will help narrow
inclusion of candidate variables in the STOP Injury tool to include those that are most
feasible to collect and most predictive. Aim 2 will help inform the possible inclusion of
genetic factors into a predictive model. Finally, Aim 3 will help identify quality of life
outcomes that should be considered when assessing opioid medication adverse events.
Aim 1. Evaluate the association between prescription opioid adverse events in older adults
and candidate risk prediction variables proposed for STOP Injury prediction score The study
team will conduct a pilot prospective observational study of 200 patients 55 years or older
who are initiated on opioids from the emergency department (ED). The investigators will
analyze the association between candidate risk factors and opioid adverse events (falls and
OD).
Aim 2. Evaluate the association between prescription opioid adverse events and genetic
factors.
In the cohort from Aim 1, the study team will test subjects for 12 genetic single nucleotide
polymorphisms related to opioid metabolism, transport, and effect.
Aim 3. Measure the impact of opioid medications on quality of life measures in older adults
The investigators will implement a series of quality of life measures on a subset of patients
as a pilot study to determine which measures capture the impact prescription opioids have on
older adults' quality of life
Inclusion Criteria:
- Presenting to UF JAX ED with pain or a pain-related complaint (i.e., fracture, burn,
etc.)
- Patient has not been prescribed an opioid medication in previous 30 days
- Patient does not have opioid medications at home
- Discharge to home with an opioid prescription
Exclusion Criteria:
- Bed-bound or uses wheelchair
- Living in skilled nursing facility or assisted living facility
- Non-English speaking
- Unable to provide consent
- Incarcerated
- Current diagnosis of cancer (active not in remission or cured)
- Lack of reliable telephone access
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