Community Health Nursing PowerPoint Example: Harris County, Texas Assessment, Diabetes Teaching Proposal and Hurricane Disaster Plan
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Get it written →Assignment: Community as the patient (population-focused nursing process PowerPoint)
You are a community health nurse preparing a recorded presentation to board members about your community. Using Worksheets 1 to 3:
- Identify your community and its demographic, community and social data.
- Identify the top 3 chronic diseases, top 3 infectious diseases and top 3 health risk factors, with statistics and the Healthy People 2030 goal for each disease.
- Develop a preventive teaching proposal for one priority concern, with at least 3 SMART objectives, at least 2 topics per objective, and the educational strategy, delivery method and evaluation method.
- Choose a disaster that could affect your community; identify emergency resources, 4 vulnerable populations, effects on infrastructure, emergency services and the general population, at least 3 anticipated health issues and 3 to 5 immediate nursing interventions without EMS or hospital access.
Length: 15 to 20 slides (not counting title, objectives and references), presenter notes of at least 75 words per body slide with in-text citations, at least 4 scholarly sources, APA 7th edition and audio narration.
Demographics, social data, diseases and risk factors
Priority concern: type 2 diabetes
SMART objectives and a bilingual DPP-based program
Tests, logs, weight and A1C
Hurricane and power-outage disaster plan
Download the example presentation (.pptx, 22 slides with presenter notes)
Model presentation: slides and presenter notes
Original example for study purposes (18 body slides plus title, objectives and 2 reference slides; presenter notes of about 2,000 words, 98 to 122 words per body slide). The community is Harris County, Texas; use your own community’s data if you live or will practice elsewhere.
Slide 1: Caring for Harris County, Texas, as the Patient
A population-focused community assessment, teaching proposal and disaster plan
Presented to the Board by [Your Name], Community Health Nurse | [Course] | [Date]
Slide 2: Presentation Objectives (Introduction)
- Describe Harris County's demographic, community and social data
- Identify the top 3 chronic diseases, infectious diseases and risk factors, with Healthy People 2030 goals
- Present a preventive teaching proposal for the priority concern: type 2 diabetes
- Present a hurricane disaster assessment and immediate nursing interventions
Presenter notes: Good afternoon, board members. Thank you for the opportunity to present our community health assessment. Today I will treat Harris County itself as my patient, using the population-focused nursing process of assessment, diagnosis, planning, intervention and evaluation. I will first describe who lives in our county, then review our most pressing chronic and infectious diseases and the risk factors behind them, comparing each with national Healthy People 2030 targets (U.S. Department of Health and Human Services [HHS], n.d.). Next, I will propose a preventive teaching program on type 2 diabetes, and I will close with a disaster assessment based on our recent experience with Hurricane Beryl.
Community demographics and social data
Slide 3: Community Overview: Harris County, Texas (Demographics & social data (1 of 4))
- Third most populous U.S. county: about 5.05 million residents (2025 estimate)
- Includes Houston, about 30 other cities and large unincorporated areas
- Gulf Coast location: hurricanes, flooding and extreme heat
- Home to the Texas Medical Center, yet access to care is uneven
Presenter notes: Harris County is home to an estimated 5,045,026 residents, making it the most populous county in Texas and the third most populous in the nation (U.S. Census Bureau, 2025). The county includes the City of Houston, roughly 30 smaller cities and large unincorporated areas where county government provides most services. Our Gulf Coast location exposes residents to hurricanes, flooding and dangerous summer heat. Although we host the Texas Medical Center, one of the largest medical complexes in the world, access to care varies sharply by neighborhood, income and insurance status. This contrast between world-class resources and unequal access is the central theme of today's assessment.
Slide 4: Population, Age and Race/Ethnicity (Demographics & social data (2 of 4))
- 25.4% under 18; 12.3% aged 65 and older
- 45.0% Hispanic or Latino
- 26.0% White (not Hispanic); 20.9% Black; 8.0% Asian
- A young, majority-minority population
Presenter notes: Our population is young and diverse. About one quarter of residents, 25.4%, are under 18, and 12.3% are 65 or older (U.S. Census Bureau, 2025). Hispanic or Latino residents make up 45.0% of the county, followed by White non-Hispanic residents at 26.0%, Black residents at 20.9% and Asian residents at 8.0%. These figures matter for planning. A large child population means school-based prevention can reach many families, while the growing older population increases demand for chronic disease management. Because chronic and infectious disease burdens fall unequally across racial and ethnic groups, our programs must be culturally and linguistically tailored rather than one-size-fits-all.
Slide 5: Language, Nativity and Education (Demographics & social data (3 of 4))
- 26.8% of residents were born outside the U.S.
- 45.0% speak a language other than English at home
- 82.5% are high school graduates (age 25+)
- 34.2% hold a bachelor's degree or higher
Presenter notes: More than one in four residents, 26.8%, were born outside the United States, and 45.0% of residents aged five and older speak a language other than English at home (U.S. Census Bureau, 2025). Spanish is the most common, but Vietnamese, Chinese, Arabic and many other languages are spoken across the county. Educational attainment is mixed: 82.5% of adults 25 and older have a high school diploma, below the national level, while 34.2% hold a bachelor's degree. For nursing practice, this means health education must be offered in multiple languages, written at an accessible reading level and delivered through trusted community messengers.
Slide 6: Economic Stability and Access to Care (Demographics & social data (4 of 4))
- Median household income: $74,983; per capita income: $41,006
- 16.7% of residents live in poverty
- 22.2% of residents under 65 are uninsured
- 7.9% of residents under 65 live with a disability; 92.1% of households have broadband
Presenter notes: Social determinants of health strongly shape outcomes in our county. The median household income is $74,983, but 16.7% of residents live in poverty, well above the Healthy People 2030 target of 8.0% (U.S. Census Bureau, 2025; HHS, n.d.). Most concerning, 22.2% of residents under 65 have no health insurance, one of the highest rates of any large county in the nation. Uninsured residents are less likely to receive screening and more likely to present late with complications. On a positive note, 92.1% of households have broadband internet, which makes telehealth and text-based outreach realistic options for our programs.
Chronic diseases, infectious diseases and risk factors
Slide 7: Top 3 Chronic Diseases (Chronic health diseases)
- Heart disease: leading cause of death; hypertensive heart disease deaths up 24.1%
- Diabetes: death rate rose 29.8% (18.8 to 24.4 per 100,000, 2016–2021)
- Cancer: second leading cause of death; death rate fell 8.1%
- Healthy People 2030: HDS-02 coronary heart disease deaths 71.1/100,000; D-01 new diabetes cases 4.8/1,000 adults; C-01 cancer deaths 122.7/100,000
Presenter notes: According to Harris County Public Health's 2024 Chronic Diseases Report, heart disease remains the leading cause of death in our county, and deaths from hypertensive heart disease rose 24.1% (Harris County Public Health [HCPH], 2024). Diabetes deaths increased 29.8%, from 18.8 to 24.4 per 100,000 residents between 2016 and 2021. Cancer is our second leading cause of death, although the cancer death rate fell 8.1%. Healthy People 2030 aims to reduce coronary heart disease deaths to 71.1 per 100,000 (HDS-02), reduce new diabetes diagnoses to 4.8 per 1,000 adults (D-01) and reduce the overall cancer death rate to 122.7 per 100,000 (C-01) (HHS, n.d.).
Slide 8: Top 3 Infectious Diseases (Infectious health diseases)
- Tuberculosis: 5.5 per 100,000 in 2024 vs. 4.0 in Texas and 2.9 nationally
- Syphilis: cases among Houston women rose from 295 (2019) to 674 (2022); congenital syphilis rose from 16 (2016) to 151 (2021); outbreak declared July 2023
- HIV: rates of new diagnoses higher than Texas and U.S.; Black residents are 50% of people living with HIV
- Healthy People 2030: IID-17 TB 1.4/100,000; STI-03 syphilis in females 15–44 4.6/100,000; HIV-03 new diagnoses 3,835 nationally
Presenter notes: Our infectious disease burden is also above state and national levels. Harris County's tuberculosis rate was 5.5 per 100,000 in 2024, compared with 4.0 in Texas and 2.9 nationally (Patel, 2026). Houston Health Department data show syphilis among women more than doubled, from 295 cases in 2019 to 674 in 2022, and congenital syphilis rose from 16 to 151 cases, prompting an outbreak declaration (Axios Houston, 2024). HIV diagnosis rates exceed Texas and U.S. rates, and Black residents make up half of people living with HIV (ABC13, 2021). Healthy People 2030 targets are 1.4 TB cases per 100,000, 4.6 syphilis cases per 100,000 females aged 15 to 44 and 90% fewer new HIV diagnoses (HHS, n.d.).
Slide 9: Top 3 Health Risk Factors (Health risk factors)
- Obesity: 35.6% of Texas adults (HP2030 NWS-03 target: 36.0%)
- Hypertension: 32.9% of Texas adults report high blood pressure
- Lack of health insurance: 22.2% of Harris County residents under 65 (HP2030 AHS-01 target: 92.4% insured)
- Each risk factor drives heart disease, diabetes and late diagnosis
Presenter notes: Three risk factors connect the diseases we just reviewed. First, 35.6% of Texas adults have obesity, close to the Healthy People 2030 target of 36.0% for the nation but still a major driver of diabetes and heart disease (Trust for America's Health [TFAH], 2024; HHS, n.d.). Second, 32.9% of Texas adults report high blood pressure, the leading modifiable contributor to cardiovascular death (TFAH, 2024; Jones et al., 2025). Third, 22.2% of our residents under 65 lack health insurance, compared with the Healthy People 2030 goal of 92.4% coverage (U.S. Census Bureau, 2025). Without coverage, people delay screening for diabetes, blood pressure, TB and sexually transmitted infections, which allows preventable disease to progress.
Preventive teaching proposal
Slide 10: Teaching Proposal: Priority Concern (Teaching proposal (1 of 5))
- Priority: preventing type 2 diabetes in adults with prediabetes
- Why: diabetes deaths up 29.8%; shares risk factors with heart disease
- Evidence: lifestyle change cut diabetes incidence by 58% in the Diabetes Prevention Program
- Target group: Hispanic and Black adults 35+ with prediabetes or risk factors
Presenter notes: After weighing burden, trend, preventability and community readiness, I selected type 2 diabetes prevention as our priority. Diabetes deaths rose almost 30% in five years, and diabetes shares obesity, hypertension and inactivity as risk factors with heart disease, our leading cause of death (HCPH, 2024). Strong evidence supports prevention: in the Diabetes Prevention Program trial, an intensive lifestyle intervention reduced the incidence of type 2 diabetes by 58% compared with placebo (Diabetes Prevention Program Research Group, 2002). Our target group is Hispanic and Black adults aged 35 and older with prediabetes or risk factors, because these groups carry a disproportionate share of the county's diabetes burden.
Slide 11: Objective 1 (SMART): Know Your Risk (Teaching proposal (2 of 5))
- By the end of Week 2, 80% of participants will correctly state 3 risk factors for type 2 diabetes and their own A1C or risk-test result
- Topic 1: What prediabetes and diabetes are; A1C and fasting glucose numbers
- Topic 2: Personal risk factors: weight, family history, inactivity, blood pressure
- Activity: free A1C and blood pressure screening at session 1
Presenter notes: Our first objective is specific, measurable, achievable, relevant and time-bound: by the end of Week 2, 80% of participants will correctly state three risk factors for type 2 diabetes and their own A1C or risk-test result. Many people with prediabetes do not know they have it, so awareness is the necessary first step. Topic one explains what prediabetes and diabetes are and what A1C and fasting glucose numbers mean. Topic two helps participants identify personal risk factors, including weight, family history, physical inactivity and blood pressure. Because hypertension often coexists with diabetes risk, we will also screen blood pressure at the first session (Jones et al., 2025).
Slide 12: Objectives 2 and 3 (SMART): Change Habits (Teaching proposal (3 of 5))
- Obj. 2: By Week 12, 70% of participants will report 150 minutes of moderate activity per week
- Topics: safe walking and home activity; tracking steps with a phone or log
- Obj. 3: By Week 16, participants will lose an average of 5% to 7% of starting body weight
- Topics: affordable, culturally familiar healthy meals; portion sizes and label reading
Presenter notes: Objectives two and three mirror the goals of the Diabetes Prevention Program lifestyle intervention, which aimed for at least 150 minutes of moderate physical activity per week and 7% weight loss (Diabetes Prevention Program Research Group, 2002). By Week 12, 70% of participants will report at least 150 minutes of moderate activity weekly. Topics include safe walking and home-based activity during hot weather, and self-monitoring with a phone app or paper log. By Week 16, participants will lose an average of 5% to 7% of starting body weight. Topics include preparing affordable, culturally familiar meals, such as healthier versions of traditional Mexican, Southern and Vietnamese dishes, and understanding portions and food labels.
Slide 13: Educational Strategy and Delivery Method (Teaching proposal (4 of 5))
- Strategy: group lifestyle coaching based on the DPP model, with goal-setting and problem-solving
- Delivered in English and Spanish (others via interpreters) by RNs and trained community health workers
- 16 weekly 1-hour sessions at churches, community centers and clinics, with a telehealth option
- Hands-on cooking demonstrations, walking groups and text-message reminders
Presenter notes: Our educational strategy is group lifestyle coaching modeled on the Diabetes Prevention Program, using goal-setting, self-monitoring and problem-solving rather than lectures alone (Diabetes Prevention Program Research Group, 2002). Sessions will be taught in English and Spanish, with interpreters for other languages, by registered nurses working alongside trained community health workers who share participants' culture. We will offer 16 weekly one-hour sessions in churches, community centers and county clinics, plus a telehealth option, since 92.1% of households have broadband (U.S. Census Bureau, 2025). Cooking demonstrations, walking groups and text-message reminders make the content practical and help participants keep going between sessions.
Slide 14: Evaluation Method (Teaching proposal (5 of 5))
- Obj. 1: pre- and post-test of risk-factor knowledge; screening records
- Obj. 2: weekly activity logs or app data reviewed at each session
- Obj. 3: weight measured at baseline, Week 8 and Week 16
- Long term: repeat A1C at 6 and 12 months; participant satisfaction survey
Presenter notes: Each objective has a matching evaluation method. For Objective 1, participants will complete a short pre-test and post-test on risk factors, and screening records will confirm that each person knows his or her A1C result. For Objective 2, we will review activity logs or app data at each weekly session. For Objective 3, staff will measure weight privately at baseline, Week 8 and Week 16. Over the longer term, we will repeat A1C testing at six and 12 months to assess progression to diabetes, the outcome that matters most (Diabetes Prevention Program Research Group, 2002). A satisfaction survey will guide improvements in cultural fit, scheduling and location.
Disaster assessment: hurricane
Slide 15: Disaster: Hurricane (Example: Beryl, July 2024) (Disaster assessment (1 of 5))
- Hurricane Beryl made landfall July 8, 2024
- More than 2.6 million Texas customers lost power during extreme heat
- At least 36 deaths in Texas, many linked to heat and power loss
- Emergency resources: Harris County OHSEM (ReadyHarrisCounty), Houston OEM, HCPH, American Red Cross, FEMA, 211 Texas and the STEAR registry
Presenter notes: For our disaster plan, I chose a hurricane, the hazard most likely to cause widespread harm here. Hurricane Beryl made landfall on July 8, 2024, and the National Weather Service reported deaths from falling trees, flooding, carbon monoxide and a medical device that lost power (National Weather Service, 2024). More than 2.6 million Texas customers lost power at the peak, many for days in extreme heat (Martinez & Foxhall, 2024), and at least 36 Texans died (Associated Press, 2024). Key resources include the Harris County Office of Homeland Security and Emergency Management, Houston's Office of Emergency Management, Harris County Public Health, the American Red Cross, FEMA, 211 Texas and the State of Texas Emergency Assistance Registry for people needing help to evacuate.
Slide 16: Four Vulnerable Populations (Disaster assessment (2 of 5))
- Older adults, especially those living alone (12.3% are 65+)
- People who depend on electricity-powered medical devices (oxygen, dialysis, ventilators)
- Low-income and uninsured residents (16.7% in poverty)
- Residents with limited English proficiency and people experiencing homelessness
Presenter notes: Four groups face the greatest risk. Older adults, who make up 12.3% of our population, are more sensitive to heat and more likely to live alone (U.S. Census Bureau, 2025). People who rely on electricity-dependent medical devices, such as home oxygen concentrators and ventilators, face life-threatening risk during outages; power outages have been linked to increased deaths and hospitalizations in other large cities (Dominianni et al., 2018). Low-income and uninsured residents may lack transportation, savings or generators. Residents with limited English proficiency may miss warnings, and people experiencing homelessness have little shelter from heat or flooding. Our outreach must reach each of these groups before the storm arrives.
Slide 17: Effects on Infrastructure, Emergency Services and the Population (Disaster assessment (3 of 5))
- Infrastructure: power, water pumping, traffic signals, cell service and roads disrupted; fallen trees and flooding
- Emergency services: surge in 911 calls; crowded emergency departments; hospitals and nursing homes on backup power
- General population: no air conditioning or refrigeration; lost food, medicines and wages; displacement
Presenter notes: A major hurricane affects every layer of the community. Infrastructure damage includes downed power lines, fallen trees, flooded roads, failed traffic signals and interrupted water pumping and cell service; after Beryl, millions of customers waited days for power restoration (Martinez & Foxhall, 2024). Emergency services face a surge in 911 calls while responders work in dangerous conditions, and hospitals and nursing homes must rely on generators. For the general population, the loss of air conditioning and refrigeration threatens health, food and refrigerated medicines such as insulin. Lost wages and property damage add financial stress, and some families are displaced to shelters or relatives' homes (Dominianni et al., 2018).
Slide 18: Anticipated Health Issues (Disaster assessment (4 of 5))
- Heat-related illness: heat exhaustion and heat stroke without cooling
- Carbon monoxide poisoning from generators and grills used indoors
- Worsening chronic disease: diabetes, heart disease, dialysis and oxygen needs
- Injuries, wound infections and waterborne or foodborne illness
Presenter notes: We can anticipate several health issues. Heat-related illness is the most immediate threat when air conditioning fails in July heat. Carbon monoxide poisoning is a recurring and preventable cause of death after hurricanes, when families run generators in garages or near windows; this pattern has been documented after previous hurricanes (Centers for Disease Control and Prevention [CDC], 2005) and occurred again after Beryl (National Weather Service, 2024). Chronic conditions worsen when people lose access to insulin, medications, dialysis or oxygen (Dominianni et al., 2018). We should also expect injuries from cleanup and chainsaws, wound infections, and illness from spoiled food or contaminated floodwater.
Slide 19: Immediate Nursing Interventions (Without EMS or Hospital Access) (Disaster assessment (5 of 5))
- Triage neighbors and shelter residents; provide first aid and wound care
- Recognize and treat heat illness: move to shade, cool with water and fans, give fluids if alert
- Teach and enforce generator safety: outdoors, at least 20 feet from doors and windows; recognize CO symptoms
- Protect medication and device needs: keep insulin cool, locate charging and cooling centers
- Check on vulnerable residents and document and report needs to OHSEM
Presenter notes: Without immediate EMS or hospital access, nurses can still save lives. First, I would triage neighbors or shelter residents and provide first aid and wound care. Second, I would recognize heat illness and begin cooling: move people to shade, apply cool water and fans and offer fluids to alert patients. Third, I would teach generator safety, keeping generators outdoors and away from doors and windows, and teach the signs of carbon monoxide poisoning such as headache, dizziness and nausea (CDC, 2005). Fourth, I would help residents keep insulin cool and locate cooling and charging centers. Finally, I would check on vulnerable neighbors and report unmet needs to emergency management.
Conclusion
Slide 20: Conclusion and Recommendations (Conclusion)
- Harris County is young, diverse and resource-rich, but uninsurance and poverty drive disparities
- Heart disease, diabetes, cancer, TB, syphilis and HIV exceed national goals
- Recommend funding the bilingual diabetes prevention program
- Recommend strengthening heat and power-outage planning for vulnerable residents
Presenter notes: In summary, Harris County is young, diverse and rich in medical resources, but high uninsurance and poverty contribute to chronic and infectious disease rates that exceed Healthy People 2030 goals (HHS, n.d.; U.S. Census Bureau, 2025). I respectfully ask the board to fund a culturally tailored, bilingual diabetes prevention program based on the proven Diabetes Prevention Program model (Diabetes Prevention Program Research Group, 2002). I also recommend strengthening hurricane plans for heat and power outages, including registries for residents who use medical devices, more cooling centers and generator safety campaigns (Dominianni et al., 2018). Treating our community as the patient means preventing harm before it reaches our hospitals. Thank you; I welcome your questions.
Slides 21–22: References
ABC13. (2021, December 2). Houston and Harris County combined have higher rates of new HIV diagnoses. https://abc13.com/houston-world-aids-day-vigil-what-is-about/11290617/
Associated Press. (2024, July 25). Texas deaths from Hurricane Beryl climb to at least 36 people, including more who lost power during scorching heat. ABC News. https://abcnews.go.com/US/wireStory/texas-deaths-hurricane-beryl-climb-36-people-including-112285437
Axios Houston. (2024, February 29). Syphilis cases surge in Houston. Axios. https://www.axios.com/local/houston/2024/02/29/syphilis-texas-cases-increase
Centers for Disease Control and Prevention. (2005). Carbon monoxide poisoning from hurricane-associated use of portable generators—Florida, 2004. JAMA, 294(12), 1482. https://doi.org/10.1001/jama.294.12.1482
Diabetes Prevention Program Research Group. (2002). Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. New England Journal of Medicine, 346(6), 393–403. https://doi.org/10.1056/NEJMoa012512
Dominianni, C., Lane, K., Johnson, S., Ito, K., & Matte, T. (2018). Health impacts of citywide and localized power outages in New York City. Environmental Health Perspectives, 126(6), 067003. https://doi.org/10.1289/EHP2154
Harris County Public Health. (2024). 2024 chronic diseases report. https://publichealth.harriscountytx.gov/media/reports
Jones, D. W., Ferdinand, K. C., Taler, S. J., Johnson, H. M., Shimbo, D., Abdalla, M., Altieri, M. M., Bansal, N., Bello, N. A., Bress, A. P., Carter, J., Cohen, J. B., Collins, K. J., Commodore-Mensah, Y., Davis, L. L., Egan, B., Khan, S. S., Lloyd-Jones, D. M., Melnyk, B. M., . . . Ziai, W. C. (2025). 2025 AHA/ACC/AANP/AAPA/ABC/ACCP/ACPM/AGS/AMA/ASPC/NMA/PCNA/SGIM guideline for the prevention, detection, evaluation and management of high blood pressure in adults. Journal of the American College of Cardiology, 86(18), 1567–1678. https://doi.org/10.1016/j.jacc.2025.05.007
Martinez, A., & Foxhall, E. (2024, November 26). Texas Public Utility Commission reports on CenterPoint Energy’s Beryl response. Insurance Journal (reprinted from The Texas Tribune). https://www.insurancejournal.com/news/southcentral/2024/11/26/802697.htm
National Weather Service. (2024). Post tropical cyclone report: Beryl. NWS Houston/Galveston. https://www.weather.gov/media/hgx/TropicalEventSummary/PSHHGX_2024AL02_Beryl_Summary.pdf
Patel, S. (2026, April 29). Harris County TB rates higher than rest of Texas. Axios Houston. https://www.axios.com/local/houston/2026/04/29/tuberculosis-high-rates-harris-county-public-health-report
Trust for America’s Health. (2024). The state of obesity 2024: Better policies for a healthier America. https://www.tfah.org/report-details/state-of-obesity-2024/
U.S. Census Bureau. (2025). QuickFacts: Harris County, Texas. https://www.census.gov/quickfacts/harriscountytexas
U.S. Department of Health and Human Services. (n.d.). Healthy People 2030. Office of Disease Prevention and Health Promotion. https://odphp.health.gov/healthypeople
Before you submit: replace the bracketed name, course and date; check the current figures on Census QuickFacts and your county health department’s website; add your course textbook as a source if required; and record your own narration using the presenter notes as a script rather than reading them word for word.
Frequently asked questions
What is a SMART objective in a community teaching plan?
A SMART objective is specific, measurable, achievable, relevant and time-bound, for example: “By the end of Week 2, 80% of participants will correctly state three risk factors for type 2 diabetes.”
Which sources count as scholarly for this assignment?
Peer-reviewed journal articles and clinical guidelines, such as the Diabetes Prevention Program trial in the New England Journal of Medicine, count as scholarly. Census data, Healthy People 2030 and health department reports are credible government sources, but most instructors count them separately from scholarly articles.
Why choose diabetes as the priority concern?
Diabetes deaths in the county rose sharply, diabetes shares risk factors with heart disease, the leading cause of death, and strong trial evidence shows lifestyle programs can prevent or delay it.
Related reading: evaluating a hypertension plan against the 2025 guideline.
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