MPH-507 Week 3 Priority Setting and Determinants: How to Write It

What a documented priority decision looks like

Minutes from a coalition prioritization meeting are unglamorous and they show exactly what this stage is grading. There is a list of candidate problems. There is a set of criteria agreed in advance, usually something like size of the burden, seriousness of consequences, whether effective interventions exist, feasibility within available resources, and community priority. There is a scoring sheet where each candidate was rated against each criterion, often with weights. And there is a short paragraph recording why the group departed from the ranking in one case, because they usually do. The audit trail is the deliverable, not the winner.

That is the first half of the week's territory. A plan that opens with a chosen problem and no record of what else was considered has skipped a scored row in most guides, and it also removes the writer's strongest defense. When a reviewer asks why you are not addressing the more common condition next door, a documented criteria table answers the question in one glance.

The second half is determinants, and it is where the analytic work is. Between a population problem and any program sits a causal structure: behavioral factors, the environmental and social conditions that shape those behaviors, the service and system factors that determine whether care reaches anyone, and the policy and economic conditions underneath all of it. Planning frameworks in this field organize that chain deliberately, working backward from the health outcome to the factors that produce it, then forward again to what an intervention could change. Writing that chain explicitly is what separates a program with a rationale from a program that sounded like a good idea.

The practical payoff is targeting. Determinants are usually sorted along two dimensions: how strongly each one contributes to the outcome, and how changeable it is with the resources available. A factor that is important and changeable is where a program belongs. A factor that is important and not changeable belongs in your context section and possibly in an advocacy recommendation. Deliverables here are often a prioritization write-up with a criteria matrix and a determinant analysis, sometimes with a diagram. Canvas posts do not reopen once submitted, so verify any causal claim before posting it.

A method for choosing a target and defending it

Six moves that convert judgment into a documented decision.

1. List the candidates you actually considered

   Three to five problems the assessment surfaced, described in one line each with their magnitude. A comparison set is what makes the choice a decision, and reviewers read its absence as a decision made before the data arrived.

2. State your criteria and weights before you score anything

   Burden, severity, existence of effective interventions, feasibility, community priority and equity impact are the usual set. Define what each means operationally, and if you weight them, say why the heavy ones are heavy.

3. Score openly and record the disagreement

   Put the matrix on the page with your ratings visible. Where the ranking and your final choice diverge, say what tipped it, such as an existing partner, an available funding stream or a community mandate. Departures explained are credible; departures hidden are not.

4. Build the causal chain backward from the outcome

   Start at the health outcome, name the behaviors and exposures that produce it, then the environmental, social and service conditions that shape those, then the policy and resource layer. Each link needs a source, not just an arrow.

5. Rate each determinant on importance and changeability

   Two columns, both justified with evidence rather than instinct. Importance comes from the literature on effect size and prevalence in your population; changeability comes from whether interventions targeting it have worked and whether you could deploy one.

6. Name your intervention target in one sentence and defend it

   Say which determinant the program will act on and why that one rather than the strongest or the easiest. That sentence is the hinge between assessment and design, and the whole second half of the session refers back to it.

A layout and word budget for prioritization and determinants

Our frame for a combined prioritization and determinant write-up, sized for roughly 1,200 to 1,500 words. It is our own outline rather than anything the university issues, and your section's scoring guide outranks it wherever the two disagree. Two figures earn their space here: a criteria matrix and a determinant table with importance and changeability columns.

Evidence craft for causal and prioritization claims

Attach a source and a design to every link in the chain. A determinant asserted with an arrow is a hypothesis. Write the evidence in front of it: a cohort study, a systematic review, a program evaluation, with the population it came from. Where the evidence is from a very different population, say so and state what the transfer assumes, because that assumption is the weakest joint in most causal narratives.

Keep causal verbs proportionate to the design. Observational associations support contributes to and is associated with. Causal language belongs where the design supports it, and the distinction is directly graded in a planning course because the whole plan rests on a claim that changing X will change Y.

Report prevalence of the determinant, not only its effect. A factor with a large effect that almost nobody in your population has will move the outcome very little; a modest factor that most of the population carries can matter more. Give both numbers where you can, because population impact depends on the combination and reviewers look for that reasoning.

Cite the framework you used and use its actual categories. Planning and prioritization frameworks are published and named, and adopting one lets a reader check your reasoning against a standard. Say which framework, apply its structure rather than inventing headings, and where you adapt it, say what you changed and why.

Five mistakes that cost points in this week's territory

• A choice with no alternatives. Presenting one problem and calling it prioritized skips the row entirely, since nothing was compared against anything.
• Criteria invented after the decision. A matrix engineered so the preferred option wins is visible to anyone who reads the weights, and it costs credibility across the document.
• Determinants listed rather than linked. A bullet list of contributing factors with no chain connecting them to the outcome gives the intervention nowhere to attach.
• Only individual behavior considered. A determinant analysis that stops at what people do, without the conditions producing it, guarantees a program that asks individuals to solve a structural problem.
• Every determinant targeted at once. A program aimed at six causes with one budget is not a plan, and the feasibility row will find it later even if this one does not.

Before you submit

• At least three candidate problems appear with their magnitudes
• Every criterion has an operational definition and a stated weight
• The scoring is visible and any departure from the ranking is explained
• Each determinant link carries evidence with its design named
• Importance and changeability are rated separately and justified
• One intervention target is named, with what is out of scope stated

Questions students ask about this stage

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