| Course | IBC 603 Brief Interventions in Primary Care |
|---|---|
| Module | Module 6 |
| Paper type | Population health management plan |
| Length | About 674 words, 5 pages |
| Format | APA 7 student paper |
| School | Arizona State University |
| Program | Doctor of Behavioral Health |
| Updated | October 2026 |
Free sample paper for IBC 603 Module 6
Finding the Patients Who Need Both: A Population Health Plan for Diabetes and Depression
Student Name
Doctor of Behavioral Health, Arizona State University
IBC 603: Brief Interventions in Primary Care
Instructor Name
Month Day, Year
Finding the Patients Who Need Both: A Population Health Plan for Diabetes and Depression
Introduction
Population health management shifts attention from the patients who happen to schedule visits to every patient in a defined group, using data to find those at risk and organized care to reach them. This plan addresses adults with type 2 diabetes and coexisting depression in an illustrative primary care network of six clinics serving about 40,000 adults.
Why This Subpopulation
Depression and diabetes worsen each other. Depression makes self-care, such as medication use, diet and activity, harder, and poor glucose control is linked to worse mood and energy. Patients with both conditions are often seen for each separately, and neither problem is fully treated. Collaborative care that addressed depression and chronic disease risk factors together improved glycated hemoglobin by 0.58 percentage points more than usual care, along with improvements in cholesterol, blood pressure and depression scores (Katon et al., 2010).
Identifying the Subpopulation
The program uses the electronic health record to build a registry. All adults with a diabetes diagnosis complete the PHQ-9 at least once a year and at any visit where the A1c exceeds 8%. The PHQ-9 is brief and validated, and a score of 10 or higher identifies likely major depression (Kroenke et al., 2001). The registry flags patients with both a diabetes diagnosis and a PHQ-9 of 10 or more. In this illustrative network, about 4,000 adults have diabetes, and an estimated 600 to 800 are expected to screen positive.
Risk Stratification
Stratification focuses scarce staff time on patients most likely to benefit and most at risk of harm.
| Tier | Criteria | Care approach |
|---|---|---|
| 1, rising risk | PHQ-9 10-14 and A1c below 8% | Behavioral health consultant visits, self-management support |
| 2, high risk | PHQ-9 15-19 or A1c 8-10% | Collaborative care with a care manager and psychiatric consultation |
| 3, highest risk | PHQ-9 of 20 or more, A1c above 10% or any suicidal ideation | Intensive care management, same-week contact, specialty referral as needed |
The Intervention: Stepped Collaborative Care
The design borrows from collaborative care: a care manager, the patient's own primary care clinician and a psychiatrist who consults on cases share responsibility for treating depression until targets are met. In a large trial in older adults, this model more than doubled the share of patients whose depressive symptoms fell by half within a year, 45% compared with 19% (Unützer et al., 2002). For this program, a nurse or behavioral health care manager in each clinic tracks registry patients, delivers brief behavioral interventions such as behavioral activation and problem solving, supports medication adherence and reviews cases weekly with the psychiatrist. Behavioral health consultants see patients on the day of referral through warm handoffs, and lifestyle goals for activity, diet and sleep are built into every care plan.
Care steps up when progress stalls: if a patient's PHQ-9 is still above half its starting value at 10 to 12 weeks, the team adjusts treatment by adding or changing medication, increasing visit frequency or referring to specialty care.
Measures and Targets
| Measure | Target at 12 months |
|---|---|
| Patients screened with the PHQ-9 among adults with diabetes | 90% |
| Registry patients with a PHQ-9 at least monthly while in treatment | 80% |
| Depression response (50% drop in PHQ-9) | 50% of enrolled patients |
| A1c below 8% among enrolled patients | Increase by 15 percentage points from baseline |
| Emergency department visits per 1,000 enrolled patients | Decrease by 10% |
Equity and Engagement
The network serves many Spanish-speaking patients, so screening, education and care management will be available in Spanish, with community health workers supporting outreach to patients who miss visits. Results will be reported by language, race and ethnicity to detect gaps.
Evaluation
The program will compare enrolled patients' outcomes with their own baselines and with patients in clinics that start later, a stepped rollout that allows a fair comparison. Costs will be tracked alongside outcomes to estimate value.
Conclusion
By finding every adult with diabetes and depression, sorting them by risk and treating both conditions together with measurement-based care, the network can reach patients that visit-by-visit care often misses.
References
Katon, W. J., Lin, E. H. B., Von Korff, M., Ciechanowski, P., Ludman, E. J., Young, B., Peterson, D., Rutter, C. M., McGregor, M., & McCulloch, D. (2010). Collaborative care for patients with depression and chronic illnesses. New England Journal of Medicine, 363(27), 2611-2620. https://doi.org/10.1056/NEJMoa1003955
Kroenke, K., Spitzer, R. L., & Williams, J. B. W. (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16(9), 606-613. https://doi.org/10.1046/j.1525-1497.2001.016009606.x
Unützer, J., Katon, W., Callahan, C. M., Williams, J. W., Jr., Hunkeler, E., Harpole, L., Hoffing, M., Della Penna, R. D., Noël, P. H., Lin, E. H. B., Areán, P. A., Hegel, M. T., Tang, L., Belin, T. R., Oishi, S., & Langston, C. (2002). Collaborative care management of late-life depression in the primary care setting: A randomized controlled trial. JAMA, 288(22), 2836-2845. https://doi.org/10.1001/jama.288.22.2836
Reading the IBC 603 Module 6 assignment instructions
Module 6 of IBC 603 ends with the Population Health Management Planning Paper, an 18-point writing assignment. It assesses the course outcome to explore ways that a population health management program could address a subpopulation of patients with an identified set of conditions. Choose a subpopulation in a primary care or related setting, explain why it matters, and describe how the program would identify, stratify, engage and treat these patients, how it would measure results and how it would be evaluated. Format details are in Canvas; ground the plan in the module readings and cite them in APA style. Label any network numbers as illustrative.
How this IBC 603 Module 6 example is built
The sample defines population health management briefly, then justifies its subpopulation with outcome data on combined care for depression and diabetes. A registry section explains exactly how patients are found, with a validated screening threshold. A three-tier stratification table assigns care by risk. The intervention section describes stepped collaborative care, its evidence and a measurable step-up rule. A measures table sets specific targets. Short sections on equity and evaluation show how the program would reach all patients and how its results would be judged. Network figures are labeled illustrative, and margin notes explain the key design choices. Every target in the measures table is numeric, so the program could be judged at twelve months.
Reading the IBC 603 Module 6 grading rubric
Instructors grading the 18-point planning paper look for a clearly defined subpopulation with a strong rationale, a realistic method for identifying patients, a sensible approach to risk stratification, evidence-based interventions and measurable outcomes. Papers lose points when the subpopulation is too broad, when identification depends on patients coming forward on their own, when interventions are not tied to evidence or when outcomes are vague. Attention to engagement, equity and evaluation distinguishes stronger plans. Because the course centers on brief interventions, linking population-level design to the behavioral health consultant's role in clinic strengthens the paper. Plans that explain how the program would reach patients who never come in usually earn more credit than plans that rely on scheduled visits alone.
IBC 603 Module 6 help: mistakes that cost marks
Pick a subpopulation defined by two or more conditions you can find in health records. Explain why treating them together matters. Describe exactly how patients will be identified. Sort them into risk tiers with clear criteria. Choose an intervention with evidence and describe who delivers it. Set numeric targets you could actually track. Decide how outreach will find patients who never book a visit. Program growing unwieldy? Our desk can help cut it to a workable core. Label any network figures as illustrative. Sketch the patient flow from registry flag to treatment on one page before writing. Check that each tier has a named care approach and staff role.
Write yours, or have the desk draft it
This paper is an original model document written by our desk, not a submitted student paper and not an official Arizona State University document. Read it for the moves, then write your own to the instructions in your classroom. If you want one built to your exact prompt and rubric, the first custom sample is free and arrives in 24 to 48 hours.
More IBC 603 and Doctor of Behavioral Health sample papers
- IBC 603 Module 5: Case Presentation Paper: Brief Interventions for Depression, Insomnia and Diabetes in Primary Care
- IBC 793 Module 8: PICOT Current Status and Root Cause Analysis Paper: Why Follow-Up Fails
IBC 603 Module 6 questions, answered
Where can I find a free IBC 603 Module 6 sample paper?
The full population health management plan for adults with diabetes and depression is on this page.
What does the IBC 603 PHM planning paper ask?
How a population health management program could address a subpopulation with an identified set of conditions.
What is risk stratification?
Sorting a population into tiers by need so care can be matched to risk.
What is collaborative care?
A model in which a care manager, primary care provider and consulting psychiatrist treat depression to target.
How much did combined depression and diabetes care improve A1c?
About 0.58 percentage points more than usual care in one trial.