Project partners Outline CAPE Project Overview Recognition and - - PDF document

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Responding to Community Health/Economic Development Issues CAPE Project Example: Recognition and Stigma in Prescription Drug Abuse

Presented by Scott Loveridge Michigan State University

Project partners

Outline

• CAPE Project Overview
• Recognition and Stigma in Prescription Drug Abuse
• Regional nature of Prescription Drug Abuse (PDA) issues
• Survey design
• Survey results
• Possible community responses
• CAPE Resources

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CAPE: Community Assessment and Education to Promote Behavioral Health Planning & Evaluation

• Stand up if you were associated with the CAPE project!!!

CAPE Project Overview

• Four Regional Rural Development Centers as a

collaborative team for national program delivery

• NCRCRD identified health as a NC regional issue in doing

its 12-state needs assessment

• Assembled four region, 10 state partnership to respond

to funding opportunity from SAMHSA via USDA/NIFA

• PHASE I: Looking at where local policy makers get info;

mapping Land Grant resources

• PHASE 2: Alternative info gathering research and

curriculum development

CAPE Research Example: Prescription Drug Abuse Recognition/Stigma Study

• Co-authors:

Robert Shupp, Scott Loveridge, Mark Skidmore (Michigan State University), Don Albrecht (Utah State University) and Brandn Green (Development Services Group).

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PDA as a community & economic development issue

• PDA varies by county.
• PDA create direct costs (e.g.,

healthcare) and indirect costs (e.g., days off of work, low productivity)

• PDA costs US society as

much as $504B in 2015 (CEA, 2017)

Source: Institute for Health Metrics, UW

Recognition, Stigma, and Prescription Drug Disorders (based on Shupp, Loveridge, Skidmore, Albrecht & Green, in progress)

• Substance use disorders are treatable
• People who don’t recognize they have a disorder are unlikely to seek

treatment, or treatment may be delayed (???)

• Substance use disorders are more highly stigmatized than other

health conditions and stigma may cause incomplete/delayed treatment (Livingston et al. 2012)

• Delaying or not getting treatment can impact many areas of life

including employment and social relationships and can lead to poor mental and physical health (Livingston et al. 2012)

National online survey (N=631)

• Sample was balanced on age, gender, income and region and we

included a rural oversample based on USDA Rural Urban Continuum Codes

• Primary activity was response to a vignette (see slide). Half of

respondents saw a male based vignette, half female.

• As part of the response to the vignette, participants were asked to

identify what is wrong as well as answer a series of questions designed to identify potential stigma.

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Vignette

Michael is 30 years old. He went to see his doctor after experiencing a work-related injury and the doctor prescribed a painkiller, hydrocodone (brand names: Vicodin, Norco, Lortab), for Michael to take. He started taking the painkiller as instructed by the doctor, but felt like it was not enough to control his pain and started taking an extra pill every day. After a follow-up visit, the doctor told Michael that his injury had healed and that he should stop taking the painkiller, but he continued taking it until he ran

• ut. At that point, he felt like he needed more of the painkiller and

went to a new doctor to get a new prescription.

What is Wrong with X? Proportion of responses

Survey Response Option Percent Answering Depression 14.9 Nervous Breakdown 4.0 Schizophrenia/Paranoid Schizophrenia 2.2 Mental Illness 7.2 Psychological/Emotional Problems 10.5 Stress 10.9 Has a Problem 30.6 Cancer 2.3 Nothing 4.0 Other 1.8 Don’t Know 6.2 Alcohol Abuse 2.9 Prescription Drug Abuse 61.3 Physical Injury 9.8 Anxiety Disorder 6.6 N 631

Exploring determinants of recognition

• Logit regression on whether or not the respondent clicked

appropriate condition (1-0)

• Control variables are respondent socio-economic

characteristics, region variables (census) and a selection of variables indicating the conditions in their county of residence

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Respondent Controls

Own Alcohol Abuse [Respondent Income: base = $50-75)] Friend/family Alcohol Abuse $25K or less Own Prescription Drug Abuse $25-50K Friend/family Prescription Drug Abuse $75-100K Male $100K+ White [Respondent Education: base = HS or less] [Age base = 35-54] Some college Age 18 – 34 College degree Age 55+ More than College [Respondent Income: base = $50-75)] [Sufferer in Vignette: base = Michael] $25K or less Michelle $25-50K $75-100K $100K+ Plus: Census region [Respondent Education: base = HS or less] Some college College degree More than College [Sufferer in Vignette: base = Michael] Michelle

County-of-Residence Controls

Rural Percent excessive drinking Unemployment Percent alcohol driving deaths Association Rate Violent crime rate Percent fair or poor health Percent child poverty Percent access to exercise Legalized Marijuana State Law Percent uninsured Percent frequent physical distress Percent frequent mental distress Percent lack of sleep Percent physically inactive [County Quartile Mental Health Providers Per Capita: base = lowest]

Results: determinants of PDA recognition

• Males are LESS likely to recognize PDA
• 18-34 year olds are LESS likely and 55+ are MORE likely to recognize PDA

than middle aged people

• Income not important
• People with higher levels of education (some college or college degree) are

MORE likely to recognize PDA than people with a High School or less education.

• Respondent from counties with high mental health provider access are

LESS likely to recognize PDA than those from counties with the lowest access.

• Respondents that self identified as having had a PDA issue are LESS likely to

recognize PDA.

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Stigma analysis

• We focus on stigma based on level of agreement with the statement,

“X's problem is not a real medical illness”

Exploring determinants of Stigma

• Basic approach: multinomial regression
• In multinomial regression, you compare other responses to a “base”
• category. We used “neither agree nor disagree” as the base. The
• utput then tells you whether the control variable is associated with

more or fewer people not choosing the base.

• To simplify comparisons, we combined “agree/strongly agree” into
• ne category; we also combined strongly disagree and disagree.
• As before, we used respondent, regional and county of residence

controls.

Primary Results for PDA Stigma

• The respondent’s choice of the “correct” condition was very strongly associated

with less stigma. (5x MORE likely to DISAGREE)

• Respondents that self identified as having had an PDA issue are much MORE

likely to exhibit more stigma. (5x MORE likely to AGREE)

• Respondent from counties with high mental health provider access are MUCH

(6x-9x) MORE likely to exhibit stigma (AGREE) than those from counties with the lowest access

• Younger (18-34) and male respondents were LESS likely to DISAGREE with the

statement

• People with high levels of education (college+) are MORE likely to AGREE and

those with some college are MORE likely to DISAGREE with the statement than people with a high school or less education

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Conclusions

• While the majority can recognize behavior/symptoms associated with PDA,

there is room for improvement. Education could possibly bring percentages higher.

• Young adult males seem especially in need of PDA education.
• Access to mental health services does not reduce stigma for PDA. There may

be scope to increase the activities of mental health services practitioners in educational activities.

CAPE Extension Resources

• Intervention database
• Archived topical webinars
• 4 National fact sheets:
• Depression, Anxiety, Alcohol abuse, Prescription drug abuse
• Templates for local (county level) fact sheets
• Community Leadership training curriculum
• Mental Health First Aid (Courtney Cuthbertson)
• Community Capacity Building (John Leatherman)

Other potential Issues where Rural Development & Health Issues Intersect

• Provider shortage (visa restrictions making it worse)?
• Hospital closures
• Impact of telemedicine on rural leadership/economies
• Ageing workforce
• “Left-behind” retirees

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Questions?

Scott Loveridge (loverid2@msu.edu)