Prescription Narcotic Morbidity and Mortality (PNMM)

Prescription Narcotic Data Presentation

This powerpoint contains information gathered by Salt Lake County's Division of Substance Abuse Services on the perseptions of Key Informants, Community Members, and Healthcare Providers regarding the problem of prescription narcotics in our community.

Click to Download the SLCo Prescription Narcotic Data Presentation.


Utah has adopted the Strategic Prevention Framework (SPF) for state and LSAA planning in order to impact population behavior for two statewide identified priorities:

  1. Alcohol-related motor vehicle crashes (ARMVC)
  2. Prescription narcotic related morbidity and mortality (PNMM)

Your community may have been identified as having a high incidence of either ARMVC, PNMM or both.

The primary purpose of this page is to provide community planners with county data as an objective way to look at the environmental, social, and underlying factor data to understand prescription narcotic drug abuse within their community.

These data provide the opportunity for a comprehensive needs assessment for

  1. Understanding the nature and extent of prescription narcotic drug abuse in your community
  2. Identifying the underlying factors that contribute to the problem.

The Utah SPF Logic Model presented below presents the priority Prescription Narcotic Related Morbidity and Mortality consequences and consumption patterns to be addressed by the SPF State Incentive Grant (SIG) Project, as well as potentially important causal variables that contribute to these problems.

This is the level at which your community’s intervention will target and operate.

PNMM Logic Model for SPF-SIG

Prescription Narcotic Morbidity and Mortality Priority

Prescription Narcotic Morbidity and Mortality Logic Model for SPF-SIG

Consequences Indicators:

  1. Emergency Department encounters due to narcotics overdose
  2. Non-illicit drug deaths

Consumption Indicators:

  1. 30-day use rates
  2. Lifetime use rates
  3. Past year use rates
  4. Shipment amounts
  5. Poison Control Center calls

Causal Factor Details:

  1. Provider Lack of Knowledge: Do providers (doctors, dentists and pharmacists) recognize potential misuse and diversion?
  2. Individual Factors: Are individuals high on risk and low on protective factors for Rx misuse/abuse?
    1. Perceived risk: Are prescription drugs seen as safer than “street” drugs for recreational purposes? Are prescription drugs seen as safe for misuse more generally?
    2. Knowledge of proper use: Do users lack knowledge of the consequences of mixing substances or altering dose and timing of intake? When there is a change in medication, are the consequences explained and understood?
  3. Availability: How easy is it to obtain narcotic prescription drugs?
    1. Extra pills: Is it common that prescription sizes are "larger" than needed and result in leftover pills?
    2. Is sharing of prescription drugs via friends or family common?
    3. Are prescription drugs easily available for misuse and abuse due to stealing from family/friends?
    4. Are prescription drugs obtained illegally via the internet?
    5. Are fraudulent prescriptions (e.g., through forgery or tampering) or obtaining multiple prescriptions a common method of accessing prescription drugs?
  4. Criminal Justice/Enforcement: Is there enforcement of fraudulent prescriptions? Is illicit consumption of prescription narcotics prosecuted?
  5. Community Norms: Are community norms favorable towards prescription drug misuse and abuse?
    1. Perceived risk: What is the community's perception of harm in using Rx Drugs in a non-directed manner? What is the community's perceptions regarding the general safety of using prescription narcotics?
    2. Availability: What is the community's perception regarding the acceptability of sharing prescription drugs with family or friends (who have similar ailments)? What are the community norms regarding how to deal with leftover or extra pills?

See the full Salt Lake (County) LSAA Profile and Statistics for PNMM (PDF).