DHA 731 Week 4 Using Surveillance Data for Decisions Example

Deaths Down by Half: Reading North Carolina's Overdose Surveillance Data Before Cutting a Rural Response Program

[Student Name]

University of Phoenix

DHA/731: Population Health and Epidemiology

Week 4 Assignment

[Instructor Name]

[Date]

The health network, its overdose response program, local emergency and EMS counts and the budget decision are composites written for a model paper. Statewide overdose figures are real provisional CDC counts for North Carolina; research findings come from the sources cited.

During budget planning, the finance committee proposed cutting the region's post-overdose response program, which sends a peer support specialist and a nurse to meet patients after an overdose in the emergency department and offers naloxone and treatment. The committee cited news reports that overdose deaths in North Carolina had fallen sharply. The regional vice president asked the population health team whether the surveillance data supported the cut. This paper examines those data and the decision.

Types of Surveillance

Surveillance means gathering health data continuously and in a standard way, analyzing it and putting it to work. Vital statistics record deaths and their causes. Notifiable disease reporting captures certain infections. Syndromic surveillance collects near-real-time data from emergency departments and other sources. Population surveys measure behaviors and chronic conditions that never reach a hospital. Each has different strengths in timeliness, accuracy and geography, and no single system answers every question.

The State Trend

Provisional CDC counts confirm the decline. The predicted number of drug overdose deaths in North Carolina over twelve-month periods peaked at 4,525 for the period ending in July 2023 and fell to 2,157 for the period ending in April 2026, a decline of about 52% (Centers for Disease Control and Prevention [CDC], 2026). The most recent figure is below the 2,363 predicted for the twelve months ending in December 2019, before the pandemic.

Reported and Predicted Counts

The numbers require care. For the twelve months ending in April 2026, CDC reported 2,045 deaths but predicted 2,157 once pending investigations are complete (CDC, 2026). Overdose deaths often require toxicology testing, and recent months are always incomplete. Leaders who compare the latest reported count with earlier final counts will overstate a decline, and the most recent months are the least complete of all.

What Drugs Are Involved

Drug-specific data add detail. In the twelve months ending in April 2026, synthetic opioids other than methadone, mainly illicitly made fentanyl, were involved in a predicted 1,314 deaths, about 61% of the total, while cocaine was involved in 896 and psychostimulants such as methamphetamine in 642 (CDC, 2026). Many deaths involve more than one drug. Fentanyl remains the main driver, and stimulants remain common, often in combination with it.

What the State Trend Cannot Show

State data aggregate a hundred counties. They cannot show whether deaths have fallen in four rural counties with about 100,000 people, where a few deaths can swing a rate. Provisional state counts are also months behind, so they cannot detect a local surge in real time. A state trend is a weather report for the whole state; it cannot tell you whether it is raining on your county today.

Faster Signals: Syndromic Surveillance

Emergency department data arrive faster. Vivolo-Kantor and colleagues used syndromic and billing data to track suspected opioid overdose visits from July 2016 to September 2017 across 52 jurisdictions in 45 states and found the visit rate climbing each quarter, by 5.6% on average, with significant increases in ten states, including North Carolina, and differences by region and urbanization that pointed to the need for local responses (Vivolo-Kantor et al., 2018). North Carolina's statewide syndromic system gives the region similar near-real-time data.

Evaluating the Systems

CDC's evaluation guidelines judge a system on a set of attributes: whether it is simple and adaptable, whether its data are complete and valid, whether partners willingly take part, how many true cases it catches and how many of its flagged cases are real, whether it reflects the whole population, how fast it reports and whether it runs reliably (German et al., 2001). Applying them helps the team decide what each system can support.

Applying the Attributes

Vital statistics score high on data quality and stability but low on timeliness and local representativeness for small counties. Syndromic data score high on timeliness but lower on predictive value, since a suspected overdose visit may not be confirmed. Local EMS naloxone data are timely and local but miss overdoses where naloxone was given by bystanders.

The Region's Local Data

The team added local sources, which are faster and closer to the decision. Emergency visits for suspected overdose at the four hospitals fell about 20% over two years, less than the state decline in deaths. EMS naloxone administrations were roughly flat. Stimulant-related visits rose. And the program's peer specialists reported that fentanyl mixed with a veterinary sedative was appearing locally, a combination that naloxone does not fully reverse. The sedative causes deep sedation and wounds that need specialized care, which adds to the program's work even when an overdose is survived. None of this appears in state death counts, which record only fatal outcomes and arrive months later.

Interpreting the Picture

The state decline is real and encouraging. But local data show a smaller decline in overdose visits, steady EMS responses and rising stimulant use. The program's own clients are part of the local picture, and cutting it would remove the service most directly connected to people at highest risk. Last year, 61% of patients seen after an overdose accepted naloxone, and 34% started treatment within thirty days, results that would be hard to rebuild if the peer specialists left for other jobs.

Costs of Each Choice

The program costs about $310,000 a year. Cutting it would save that amount, but a single prevented death is worth far more to a family and a community, and each overdose that ends in intensive care costs the hospitals and payers tens of thousands of dollars. If the program prevents even a few overdose deaths or intensive care admissions a year, it pays for itself in human and financial terms. Against that, falling state deaths mean the region should expect less need over time, and the budget should reflect that trend when local data confirm it.

The Decision

The vice president recommended continuing the program for another year at its current level, while shifting part of its focus toward stimulant use and adding test strips for emerging adulterants. The program will also begin reporting its own data monthly to the regional risk committee, so that future budget decisions rest on local evidence rather than statewide headlines.

Local Triggers

The team set triggers for review, written into the budget so that the next decision will not depend on headlines: if suspected overdose visits fall below a defined level for two consecutive quarters and EMS naloxone use declines, the program would be scaled back; if visits rise 25% above the baseline in any month, the program would expand outreach and alert partners.

Conclusion

North Carolina's overdose deaths have fallen by about half from their peak, a real gain. But provisional counts lag, drug patterns are shifting and state data cannot describe four rural counties. By combining state, syndromic and local data, judging each system by CDC attributes and setting local triggers, the region can make a decision matched to its own situation.

References

Centers for Disease Control and Prevention. (2026). VSRR provisional drug overdose death counts [Data set]. data.cdc.gov. https://data.cdc.gov/d/xkb8-kh2a

German, R. R., Lee, L. M., Horan, J. M., Milstein, R. L., Pertowski, C. A., & Waller, M. N. (2001). Updated guidelines for evaluating public health surveillance systems: Recommendations from the Guidelines Working Group. MMWR Recommendations and Reports, 50(RR-13), 1-35. https://www.cdc.gov/mmwr/preview/mmwrhtml/rr5013a1.htm

Vivolo-Kantor, A. M., Seth, P., Gladden, R. M., Mattson, C. L., Baldwin, G. T., Kite-Powell, A., & Coletta, M. A. (2018). Vital signs: Trends in emergency department visits for suspected opioid overdoses, United States, July 2016-September 2017. MMWR. Morbidity and Mortality Weekly Report, 67(9), 279-285. https://doi.org/10.15585/mmwr.mm6709e1