| Course | IHP 515 Population-Based Epidemiology |
|---|---|
| Module | Module 7 |
| Paper type | graduate milestone surveillance and analysis plan |
| Length | About 1,020 words, 6 pages |
| Format | APA 7 student paper |
| School | Southern New Hampshire University |
| Program | MPH |
| Updated | September 2026 |
Free sample paper for IHP 515 Module 7
Milestone Three: Surveillance Improvements and Analysis Plan for Harlan County Overdose Deaths
[Student Name]
Southern New Hampshire University
IHP 515: Population-Based Epidemiology
Module Seven Milestone Three
[Instructor Name]
[Date]
Milestone Three: Surveillance Improvements and Analysis Plan for Harlan County Overdose Deaths
Harlan County's descriptive epidemiology produced four hypotheses: that fentanyl in the drug supply drove the county-wide rise, that the 2020 treatment program closure contributed, that release from jail without treatment raises risk and that later arrival of fentanyl and lower treatment access explain the faster rise among Black residents. Testing them requires better data and a clear analysis plan. This milestone describes improvements to overdose surveillance, the data linkages needed, analyses for each hypothesis, reporting standards, privacy protections and a timeline.
What Surveillance Should Do
Thacker and Berkelman (1988) characterize surveillance as sustained, methodical gathering, analysis and interpretation of health data needed to plan, carry out and evaluate public health practice, closely linked to timely sharing with those who need to act. They identified attributes by which surveillance systems can be judged, including simplicity, flexibility, acceptability, sensitivity, representativeness, timeliness and usefulness. Harlan's current overdose surveillance relies on death certificates, which take three to six months to finalize, and quarterly emergency department summaries, so it is neither timely nor detailed enough to guide rapid response.
Improving Timeliness
The county will add near-real-time syndromic surveillance of emergency department visits for suspected overdose, drawing on chief complaint and diagnosis data already sent to the state. An automated alert will notify the epidemiologist when weekly visits exceed the expected range by two standard deviations, allowing rapid warnings to harm reduction partners and hospitals when a dangerous batch appears. Emergency medical services naloxone administrations will be added as another early signal.
Improving Completeness
The medical examiner will adopt a standard toxicology panel for all suspected overdose deaths, including fentanyl analogs, so that drug involvement is recorded consistently. Death investigation forms will capture circumstances such as whether the person was alone, whether naloxone was given and recent release from incarceration, fields that are often missing today.
Data Linkage
Testing the hypotheses requires linking data sources at the individual level. Death records will be linked with county jail release records, the state prescription drug monitoring program for buprenorphine, opioid treatment program enrollment records and emergency department visits, using name, date of birth and other identifiers, with linkage performed by the state health department's data unit so that analysts receive de-identified files.
Table 1. Hypotheses, Data and Analyses
| Hypothesis | Data needed | Analysis |
|---|---|---|
| Fentanyl drove the county-wide rise | Standard toxicology; trends in fentanyl detection | Trends in fentanyl-involved versus other deaths |
| Clinic closure contributed | Program enrollment linked to deaths; neighboring counties | Deaths among former patients; difference-in-differences |
| Jail release without treatment raises risk | Jail release, treatment and death records | Retrospective cohort; relative risk adjusted for confounders |
| Racial differences reflect fentanyl timing and treatment access | Toxicology and treatment by race over time | Stratified trends; treatment rates by race |
Note. Each hypothesis is matched to specific data and methods.
National Comparisons
Rudd et al. (2016) documented national increases in opioid overdose deaths and the growing role of synthetic opioids. National and state rates, standardized for age, will serve as benchmarks for Harlan's trends, allowing the county to see whether its pattern mirrors or departs from broader trends and whether local interventions coincide with divergence.
Analysis Methods
Trends will be analyzed with quarterly age-adjusted rates and, for small groups, three-year rolling averages with confidence intervals. The jail release cohort will compare twelve-month overdose death risk between those treated and untreated at release, using regression to adjust for demographic factors, earlier overdoses and whether the person had stable housing. The closure question will pit mortality among people the program had been treating against a matched group of people with opioid use disorder never enrolled, before and after the closure. Racial differences will be examined through stratified trends in fentanyl detection and treatment receipt.
Reporting Standards
Von Elm et al. (2007) developed the STROBE statement to improve reporting of observational studies, listing items such as clear descriptions of study design, setting, participants, variables, data sources, bias, study size, statistical methods, results including missing data and limitations. The county's reports on the cohort and closure analyses will follow STROBE, so that readers can judge the quality of the evidence and other health departments can compare their results.
Privacy and Ethics
Linked records include sensitive information about drug use and incarceration. Linkage will occur under a data use agreement with the state, analysts will work only with de-identified data in a secure environment and results for groups smaller than ten will be suppressed in public reports. The project will be reviewed by the health department's data governance committee and, for any publication, by an institutional review board.
Evaluating the Surveillance System
The improved system should itself be evaluated after a year, using the attributes Thacker and Berkelman describe. Timeliness will be measured as the days between an overdose surge and the first alert to partners. Completeness will be measured as the share of death records with a full toxicology panel and circumstance fields filled in. Sensitivity of the syndromic alerts will be checked by comparing flagged weeks with later confirmed increases in deaths. Usefulness will be judged by whether partners acted on alerts, for example by distributing extra naloxone or issuing warnings, and by feedback from hospitals and harm reduction groups. Acceptability will be assessed by asking emergency departments and the medical examiner whether the new reporting demands are manageable. The evaluation will guide adjustments before the system becomes routine.
Timeline and Dissemination
Syndromic alerts and standardized toxicology will begin within three months. Data linkage agreements will take about six months, with the jail cohort and closure analyses completed within a year. A monthly overdose dashboard will be shared with the board, hospitals and harm reduction partners, and a detailed annual report will present the analyses.
Community Partners
Harm reduction organizations and people with lived experience of drug use will be invited to review the dashboard and alerts, since they are often first to notice changes in the drug supply and can help interpret findings in ways data alone cannot.
Conclusion
Better surveillance and linked data will let Harlan County move from describing its overdose crisis to testing why it happened and responding faster when danger rises. Clear methods, transparent reporting and strong privacy protections make the plan both useful and trustworthy.
References
Rudd, R. A., Aleshire, N., Zibbell, J. E., & Gladden, R. M. (2016). Increases in drug and opioid overdose deaths: United States, 2000-2014. MMWR. Morbidity and Mortality Weekly Report, 64(50-51), 1378-1382. https://doi.org/10.15585/mmwr.mm6450a3
Thacker, S. B., & Berkelman, R. L. (1988). Public health surveillance in the United States. Epidemiologic Reviews, 10(1), 164-190. https://doi.org/10.1093/oxfordjournals.epirev.a036021
von Elm, E., Altman, D. G., Egger, M., Pocock, S. J., Gøtzsche, P. C., & Vandenbroucke, J. P. (2007). The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Annals of Internal Medicine, 147(8), 573-577. https://doi.org/10.7326/0003-4819-147-8-200710160-00010
What the IHP 515 Module 7 instructions ask for
Milestone Three in IHP 515 usually asks for a plan to collect and analyze data that would answer questions raised by your descriptive work, often including surveillance improvements. Graduate milestones commonly run five to seven APA 7 pages. Describe current data systems and their gaps, propose specific improvements, match each hypothesis to data and methods in a table and explain how you will handle confounding and small numbers. Address privacy and ethics, specify reporting standards and set a realistic timeline. Instructors reward plans where every analysis clearly answers a stated question and uses data that could realistically be obtained. IHP 515 graders notice clean headings in IHP 515 papers. IHP 515 names and dates need checking before IHP 515 submission.
How this IHP 515 Module 7 milestone three example is built
This milestone plans surveillance improvements and analyses for a composite county's overdose deaths. Thacker and Berkelman's surveillance attributes reveal gaps in timeliness and completeness, addressed with syndromic emergency department alerts and standard toxicology. Linked death, jail, treatment and pharmacy records support a table matching four hypotheses to data and methods, including a jail release cohort and a difference-in-differences analysis of a clinic closure. Rudd and colleagues' national data provide benchmarks, STROBE from von Elm and colleagues guides reporting and privacy protections, a timeline and a monthly dashboard complete it. IHP 515 students can reuse this structure for IHP 515 work. IHP 515 claims here trace to cited IHP 515 sources.
Where the IHP 515 Module 7 rubric puts the points
Surveillance and analysis plans in IHP 515 are commonly judged on accurate description of surveillance concepts, identification of data gaps, specific improvements, alignment of hypotheses with data and methods, handling of confounding and small numbers, privacy and ethics, reporting standards, a feasible timeline, scholarly support and APA 7. Strong plans show exactly how each question will be answered and protect sensitive data. Plans lose points when analyses are vague, data linkage is assumed without agreements or privacy is overlooked. A hypothesis-to-method table is often credited as clear evidence of planning. IHP 515 marks favor careful formatting across IHP 515 sections. IHP 515 citations keep every IHP 515 argument credible.
IHP 515 Module 7 help: the mistakes that cost points
In IHP 515, Milestone Three often loses points for plans that restate hypotheses without methods, for ignoring data quality, for overlooking privacy and for timelines that ignore how long data agreements take. Another frequent weak spot is forgetting reporting standards. Assess current systems, propose improvements, match hypotheses to data and methods, protect privacy, adopt STROBE or similar guidance and set a timeline. If your problem involves different data sources, list them in your IHP 515 notes so the plan uses them realistically. IHP 515 drafts start well from a IHP 515 outline. IHP 515 feedback already received guides IHP 515 revisions.
Get IHP 515 Module 7 written to your instructions
Send the IHP 515 Milestone Three prompt and your hypotheses. The plan will assess current surveillance, propose improvements, match each hypothesis to data and methods, address confounding and privacy and set reporting standards and a timeline, within 24 to 48 hours, free the first time. The paper above is an original model document written by our desk, not a submitted student paper and not an official Southern New Hampshire University document.
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IHP 515 Module 7 questions, answered
Where can I find a free IHP 515 Module 7 Milestone Three sample?
The whole plan is published here: overdose surveillance improvements and analyses matched to four hypotheses, with privacy protections and STROBE reporting.
What attributes make a good surveillance system?
Simplicity, flexibility, acceptability, sensitivity, representativeness, timeliness and usefulness, among others.
What is syndromic surveillance?
Near-real-time monitoring of data such as emergency department chief complaints to detect unusual increases before diagnoses are confirmed.
What is the STROBE statement?
A checklist for reporting observational studies clearly, covering design, participants, variables, bias, methods, results and limitations.
How are privacy risks managed in linked health data?
Through data use agreements, linkage by a trusted unit, de-identified analysis files, secure environments and suppression of small counts.