Community assessment is the systematic collection and analysis of data about a community to identify its health needs, problems, and resources (strengths). Community diagnosis is the conclusion drawn from that assessment: a statement of the community's health status and priority health problems with their contributing factors, which becomes the basis for planning.
The community is the client. Unlike individual assessment, the focus is on aggregates: population groups, the environment, systems, and services.
Purposes
- Describe the health status of the community
- Identify health needs, problems, risk groups, and resources
- Set priorities and serve as a baseline for program planning and later evaluation
- Promote community participation when residents help gather and interpret the data
Types of community diagnosis
| Type | Scope | When used |
|---|
| Comprehensive | Obtains a broad picture of the whole community: population, environment, socioeconomic and political features, health status, health resources and services | A new area, a baseline for multi-year planning, a COPAR community study |
| Problem-oriented (task-oriented) | Focuses on a specific, already recognized problem or program area | A rise in dengue, poor immunization coverage, planning a single program |
Sources and types of data
| Type | Description | Examples | Strength / limitation |
|---|
| Primary data | Collected first-hand by the nurse and residents | Household survey, interviews, focus group discussions, observation, ocular survey | Current and specific; costs time and money |
| Secondary data | Already collected by others | FHSIS reports, PSA census and civil registration data, PIDSR reports, barangay records, school records, hospital records, past surveys | Saves time and cost; may be outdated, incomplete, or not in the needed form |
Qualitative vs quantitative data — numbers (rates, coverage) show magnitude; people's views, beliefs, and priorities (from interviews and focus groups) explain the numbers and reveal felt needs.
Parameters (what to assess)
| Area | Examples of data |
|---|
| Demographic | Total population, age–sex structure (population pyramid), density, growth, births, deaths, migration, household size |
| Socioeconomic and cultural | Income, occupation, education, housing, religion, ethnicity, language, health beliefs and practices, recreation |
| Environmental (physical) | Geography, climate, hazards (flood- or landslide-prone), water supply, excreta and garbage disposal, housing condition, vectors, air quality |
| Health status (vital and health statistics) | Crude birth and death rates, IMR, MMR, leading causes of morbidity and mortality, prevalence of disease, nutritional status, immunization coverage |
| Health resources and services | Rural health unit, barangay health station, hospitals, pharmacies, health personnel (nurses, midwives, BHWs), accessibility, utilization |
| Social systems and political structure | Barangay council, local health board, people's organizations, churches, schools, NGOs, leadership and decision-making |
| Community dynamics | Communication patterns, participation, cooperation, conflict |
Methods of data gathering
- Ocular (windshield) survey — the nurse moves through the community (walking or riding) and observes housing, people, services, environment, and activity; an informal first look
- Household survey / questionnaire
- Interviews — including key informants (barangay captain, midwife, teachers, religious leaders, traditional healers)
- Focus group discussion
- Participant observation — joining community activities
- Records review — FHSIS, PIDSR, civil registry, school clinic records
- Community forum or assembly
Steps in community diagnosis
- Determine objectives and scope (comprehensive or problem-oriented)
- Define the population and area
- Select data-gathering methods and prepare tools
- Collect data (with residents where possible)
- Organize and present data (tables, graphs, spot maps, population pyramid)
- Analyze — compare with standards, targets, national and provincial figures, and past years; look for trends and gaps
- Identify health problems and their contributing factors, plus community strengths
- Prioritize problems
- Validate findings with the community (community assembly) — this confirms accuracy and builds ownership
- Write the community nursing diagnoses and move to planning
Criteria for setting community priorities (weighed together, not singly)
- Magnitude — how many people are affected (incidence, prevalence)
- Severity / nature — mortality, disability, effect on quality of life, whether it affects vulnerable groups
- Modifiability — whether effective interventions, resources, and technology exist
- Preventive potential — how much future harm can be averted
- Community concern (social concern, salience) — how much residents perceive and care about the problem
- Consistency with national and local health priorities and available resources
Personal interest of the nurse is not a criterion.
Writing a community nursing diagnosis. A common format states the problem among a defined population (the "target" or "aggregate"), related to the contributing factors (etiology), as evidenced by data (signs or indicators):
- "Increased risk of dengue among residents of Purok 3 related to uncovered water containers and irregular garbage collection, as evidenced by 18 cases in 2 months (compared with 3 in the same months last year) and larvae found in 40% of containers inspected."
The "related to" part is the etiology; the "as evidenced by" part is the measurable evidence that justifies the diagnosis. Community diagnoses may also be wellness diagnoses (e.g., readiness for enhanced breastfeeding practices).
Worked analysis. Barangay Mabini (population 4,000) data compiled by the nurse:
| Finding | Barangay | Comparison |
|---|
| Households with sanitary toilets | 55% | Municipal average 85% |
| Diarrhea cases in children under 5 (past year) | 96 episodes among 480 children | Municipal rate 8 per 100 children |
| Fully immunized children | 92% | Target 95% |
- Diarrhea incidence (episodes) in under-5s = 96 ÷ 480 × 100 = 20 per 100 children per year (check: 96 ÷ 480 = 0.20 ✓).
- The gap in sanitary toilets and the diarrhea rate (2.5 times the municipal figure: 20 ÷ 8 = 2.5 ✓) point to a priority problem.
- Diagnosis: "High incidence of diarrhea among children under 5 in Barangay Mabini related to inadequate sanitary excreta disposal and unsafe water handling, as evidenced by 20 episodes per 100 children in one year compared with 8 per 100 municipally and 45% of households without sanitary toilets."
- Next: validate with residents in an assembly, then plan jointly (Topic 12).
Presenting data for the community. Use simple visuals that residents understand: a spot map showing households with cases and water sources, bar graphs of leading causes of illness, and a population pyramid. Present both problems and strengths (e.g., active BHWs, a functioning barangay health station).
- Plans and leads the assessment with the rural health unit team, BHWs, and residents
- Uses valid, culturally appropriate tools and the local language
- Analyzes data using epidemiologic measures and compares with standards
- Engages the community in interpretation, prioritization, and validation
- Identifies community resources and strengths, not only deficits
- Documents and reports findings to the municipal health officer and local health board
- Coordination with the LGU: health services are devolved to local government units under the Local Government Code of 1991 (RA 7160); community assessments should be coordinated with barangay and municipal officials.
- Informed consent for household surveys and interviews; participation is voluntary.
- Data privacy: survey forms and spot maps contain personal and sensitive information (RA 10173). Store forms securely; present only aggregate data; use codes rather than names on public maps.
- Accuracy and honesty: do not alter or selectively present data to favor a preferred program.
- Respect and cultural sensitivity toward indigenous peoples and minority groups; involve their recognized leaders.
Case 1 — Best data source. A nurse wants to know residents' health beliefs and lifestyle.
- Correct method: primary data — interviews, focus groups, or a household survey.
- Why: beliefs and practices are rarely captured in secondary reports.
Case 2 — First look. A newly assigned nurse wants a quick overall impression of the barangay's housing, services, and hazards in her first week.
- Correct method: ocular (windshield) survey.
- Why: it quickly provides an overview to guide further data collection.
Case 3 — Before diagnosing. Teen smoking in the municipality is higher than the provincial average. The nurse wants to write a community diagnosis.
- Correct action: first assess further — gather data on contributing factors (access to cigarettes, peer and family patterns, school policies).
- Why: a diagnosis needs etiology and evidence; assessment precedes diagnosis.
- Using only secondary data and missing residents' felt needs.
- Treating the per-capita income of the area as a direct health status indicator — it is a socioeconomic indicator; health status indicators include mortality, morbidity, and nutritional status.
- Presenting deficits only, ignoring resources.
- Skipping validation with the community.
- Letting the nurse's personal interest set priorities.
- Confusing the "related to" (etiology) and "as evidenced by" (evidence) parts of a diagnosis.
- Confusing community diagnosis (aggregate) with family or individual diagnosis.
- Community assessment → community diagnosis → planning; the community is the client.
- Comprehensive = whole picture; problem-oriented = one known problem or program.
- Primary data = first-hand (surveys, interviews, observation); secondary data = existing records (FHSIS, PSA, PIDSR) — cheaper and faster.
- Ocular (windshield) survey = quick observational overview.
- Parameters: demographic, socioeconomic and cultural, environmental, health status, health resources, social and political systems.
- Priority criteria: magnitude, severity, modifiability, preventive potential, community concern.
- Diagnosis format: problem + population + related to (etiology) + as evidenced by (data).
- Validate findings with the community before planning.