CHES study plan

Differentiate primary and secondary data sources and select appropriate ones for a defined community health scenario

Outline a needs assessment specifying at least three data collection methods (survey, focus group, key informant interview) matched to a stated population

Analyze quantitative and qualitative data to rank three priority health needs with supporting rationale

Identify individual, organizational, and community assets and capacity gaps that constrain program delivery

Explain how social determinants of health and equity data are incorporated into a capacity assessment

Distinguish process, impact, and outcome evaluation and match each level to a corresponding evaluation question

Select an appropriate quantitative or qualitative research design for a stated health education question

Interpret reported measures of association, confidence intervals, and statistical significance from a study abstract

Apply findings from a published needs assessment to revise a draft program plan

Describe sampling approaches and their implications for the generalizability of needs assessment and evaluation findings

Write measurable objectives that specify audience, behavior, condition, and degree of attainment

Align a set of objectives across cognitive, affective, and psychomotor learning domains

Select a planning model (e.g., PRECEDE-PROCEED, generalized model, intervention mapping) and justify the choice for a given scenario

Design intervention activities that map directly to identified needs and available capacity

Construct a basic budget and timeline for a planned intervention

Sequence intervention activities into an implementation timeline with assigned responsible parties

Draft a full session outline or lesson plan for at least one intervention session, including materials and timing

Anticipate implementation facilitators and barriers and specify a mitigation for each barrier

Describe strategies for adapting implementation to diverse audiences, settings, and literacy levels

Specify the resources, training, and staffing required to launch the planned intervention

Match experimental, quasi-experimental, and non-experimental designs to program constraints and evaluation questions

Design data collection instruments and a sampling approach suitable for a small program evaluation

Specify analysis and reporting procedures for quantitative and qualitative evaluation data

Explain how process evaluation data are used to make mid-course adjustments during implementation

Apply ethical research principles, including informed consent and institutional review, to evaluation activities

Prepare a data-supported advocacy message tailored to a specific decision-maker audience

Identify stakeholders, coalition partners, and channels that advance a policy objective

Draft a policy brief or testimony that states the problem, presents evidence, makes a specific ask, and projects impact

Select communication channels and message framing appropriate to a target audience's needs and preferences

Revise a health education handout to meet plain-language and health literacy standards

Distinguish leadership from management functions and apply both to a health education program scenario

Outline a staffing plan defining roles, responsibilities, and a supervision and feedback structure

Describe steps for recruiting, training, and retaining program staff and volunteers

Apply the health education code of ethics to scenarios involving confidentiality, conflicts of interest, and professional competence

Distinguish ethical dilemmas from legal requirements and describe a structured decision-making process for each

Coordinate with interprofessional partners to define shared goals, roles, and decision-making procedures

Describe strategies for building, sustaining, and resolving conflict within coalitions and partnerships

Map every missed item from a full-length practice exam to its domain and sub-competency

Re-study and re-test the two weakest domains until accuracy improves

Assemble a consolidated one-page summary of key models, terms, and frameworks across all nine domains