Verified Document

Data Analysis Strategies For A Nurse Led Hypertension Initiative Data Analysis

DNP PROJECT : DATA COLLECTION AND ANALYSIS

Implementation Plan/Procedures

Phase 1: Program Development (Months 1-3)

Conduct comprehensive literature review on evidence-based practices for culturally tailored hypertension self-management

Collaborate with community stakeholders and minority health organizations to understand sociocultural determinants and barriers

Design culturally relevant, linguistically appropriate education curriculum with interactive multimedia resources

Recruit and train a diverse team of bilingual, culturally competent nurses and community health workers

Phase 2: Participant Recruitment (Month 4)

Establish partnerships with community organizations, faith-based institutions, and healthcare providers serving minorities

Conduct informational sessions to raise awareness about the program

Screen and enroll 300-400 minority adults with hypertension residing in Tulsa

Obtain informed consent and administer baseline assessments (blood pressure, SF-36 survey)

Phase 3: Program Implementation (Months 5-7)

Week 1: Introduction to hypertension and importance of self-management

Weeks 2-3: Skills training (BP monitoring, medication adherence, dietary education, cooking demos)

Week 4: Physical activity promotion and goal-setting

Week 5: Mid-program BP reassessment and progress evaluation

Week 6: Motivational interviewing and behavior change techniques

Week 7: Stress management and emotional well-being

Weeks 8-9: Connecting with community resources, peer support groups

Week 10: Post-intervention assessments, program evaluation

Phase 4: Data Analysis and Dissemination (Months 8-12)

Analyze quantitative data (e.g., blood pressure, SF-36 scores)

Conduct qualitative analysis of program feedback

Prepare results for publication and conference presentations

Develop plan for program refinement and broader dissemination

Project Management

Biweekly team meetings to coordinate activities

Ensure adherence to protocols and regulatory compliance

Ongoing input from community advisory board

Leverage nursing leadership and community health workers

Taken together, the above-described implementation plan will deliver a culturally tailored, multi-component intervention with a focus on skills building, behavior change, and community engagement that will help improve hypertension control and quality of life for minority populations in Tulsa.

Data Collection Procedures

This project will collect both quantitative and qualitative data to evaluate the effectiveness of the culturally tailored hypertension self-management education program for minority populations in Tulsa, Oklahoma.

Quantitative Data

The primary quantitative data collected will include blood pressure measurements (continuous data) and resting blood pressure readings which will be obtained at three time points: baseline, mid-point (6 weeks), and post-intervention (12 weeks). Measurements will be taken by trained research staff using validated automatic blood pressure monitors and standardized protocols. Three readings will be obtained at each session, with the average used for analysis.

36-Item Short Form Health Survey (SF-36) (Ordinal/Interval Data)

The SF-36 is a widely used instrument to measure health-related quality of life across 8 domains

Participants will complete the paper survey at baseline and post-intervention

Responses are scored on a standardized scale from 0-100 for each domain

Demographic Data (Nominal/Ordinal Data)

Age, gender, race/ethnicity, education level, income, employment (collected at baseline); to control for potential confounding variables:

Eligibility criteria will exclude those with severe comorbidities that could impact blood pressure

Participants will be instructed not to start any new medications/treatments during the study

Demographic factors like age and gender will be included as covariates in statistical analyses

Qualitative Data

Brief semi-structured interviews/focus groups will be conducted with a subset of participants after program completion to obtain feedback on experiences, challenges, satisfaction, and recommendations for improvement.

All interviews/focus groups will be audio-recorded and transcribed verbatim.

Planned Data Analysis

Quantitative:

Descriptive statistics will be calculated for demographic and baseline clinical characteristics

Change in blood pressure from baseline to post-intervention will be assessed using paired t-tests or non-parametric equivalents

SF-36 scores will be analyzed using repeated measures ANOVA or non-parametric methods

Multivariate regression models will evaluate the effect of the intervention on outcomes while controlling for demographic/clinical covariates

Effect sizes will be calculated to determine the magnitude of impact

An intention-to-treat analysis will be performed to account for participant attrition

Qualitative:

Transcripts will undergo...

…self-administered paper survey will be completed by participants at baseline and 12 weeks post-intervention. In addition, brief semi-structured qualitative interviews or focus groups will be conducted after program completion to obtain participant feedback and experiences, which will be audio-recorded, transcribed verbatim, and analyzed using standard thematic analysis methods. In addition, as noted previously, permission to use this proprietary instrument will be obtained from the current copyright holder and included as an appendix to the final study.

Instrument Reliability and Validity

The SF-36 has well-established reliability and validity across numerous studies and populations. Likewise, the validity of the instrument has been demonstrated through strong correlation with other validated health status measures as well as expected relationships with factors like age, disease burden, and clinical indicators, supporting its construct validity (Wu et al., 2023). Extensive psychometric evaluation data supporting the SF-36s reliability and validity across diverse racial/ethnic groups will be included as an appendix, along with a copy of the full survey instrument and standardized instructions that will be provided to participants.

Ethics ad Human Subjects Protection

The study protocol will be reviewed and approved by an institutional review board before implementation to ensure ethical standards are upheld. All participants will provide informed consent after the study procedures, risks/benefits, and privacy protections are thoroughly explained. Data will be collected and stored using de-identified study codes to maintain confidentiality. Any identifiable information linked to coded data will be kept secure and separate. All staff involved will complete human subjects research and HIPAA privacy training. Likewise, for long-term data protection, de-identified electronic data files will be stored on encrypted, password-protected servers with restricted access only for authorized study personnel. Finally, any physical documents containing identifiable information will be kept in locked cabinets and scanned for long-term secure electronic storage after the requisite 5- to 7-year retention period (HIPAA Retention…

Sources used in this document:

References

Esubalew, H., Belachew, A., Seid, Y., Wondmagegn, H., Temesgen, K., & Ayele, T. (2024). Health-Related Quality of Life Among Type 2 Diabetes Mellitus Patients Using the 36-Item Short Form Health Survey (SF-36) in Central Ethiopia: A Multicenter Study. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 17, 1039–1049.

HIPAA Retention Requirements. (2024). The HIPAA Journal. Retrieved from https://www. hipaajournal.com/hipaa-retention-requirements/.

Koh, E. T., Leong, K. P., Tsou, I. Y. Y., Lim, V. H., Pong, L. Y., Chong, S. Y., & Seow, A. (2016). The reliability, validity and sensitivity to change of the Chinese version of SF-36 in oriental patients with rheumatoid arthritis. Rheumatology, 45(8), 1023–1028.

Neuman, W. L. (2018). Social Research Methods: Qualitative and Quantitative. Pearson.

Peek, M. K., Ray, L., & Patel, K. (2014). Reliability and Validity of the SF-36 Among Older Mexican Americans. Gerontologist, 44(3), 418.

Wu, Q., Chen, Y., Zhou, Y., Zhang, X., Huang, Y., & Liu, R. (2023). Reliability, validity, and sensitivity of short-form 36 health survey (SF-36) in patients with sick sinus syndrome. Medicine, 102(24), e33979.

Cite this Document:
Copy Bibliography Citation

Related Documents

Data Analysis Using Correlation and ANOVA
Words: 631 Length: 2 Document Type: Data Analysis

DATA ANALYSIS Problem 1Answer the question: Does practice time make a difference? Support your answer with your findings.The ANOVA single factor test was used to determine whether there was a difference in the swimming time by practice time. ANOVA was calculated using the following steps:i) Present the data in three columns by practice time as shown:less than 15 (1)15-25 (2)greater than 25(3)58.764.46855.355.865.961.858.754.749.554.753.664.552.758.76167.858.765.761.665.751.458.766.553.654.656.75951.555.454.751.561.454.856.957.2ii) State the null and alternative hypothesesHo: all means

Data Analysis of Survey on Barriers to Hospice Utilization
Words: 1883 Length: 7 Document Type: Data Analysis Chapter

Hospice Utilization: Survey Findings Survey Data Analysis Barriers to Hospice Care Utilization: Survey Findings Barriers to Hospice Care Utilization: Survey Findings Hospice care has been shown to improve patient quality of life, reduce depression, prolong life (reviewed by McGorty and Bornstein, 2003), and reduce the costs associated with end of life (EOL) care (Temel et al., 2010). As McGorty and Bornstein (2003) point out, however, hospice care in the United Kingdom is more

Data Analysis and Business Intelligence
Words: 1362 Length: 5 Document Type: Essay

Business Intelligence and Data Analysis Tableau Project Dashboard Health insurance coverage for people below 65 among states Graphical features used Descriptive and predictive analytics used Population of Insured and Uninsured People aged 65 and below The project evaluates the rates of insurance coverage for people aged 65 and below between 2010 and 2012 in all states in the United States. The report analyzes the data using several statistical tools such as descriptive statistics, predictive statistics, and linear

Data Analysis and Interpretation
Words: 694 Length: 2 Document Type: Term Paper

Tobacco control and stress reduction Data interpretation is a critical component of the research process, one which is necessary to ensure that the data has program significance -- i.e., can provide useful guidelines for changes in policy or to add to the existing research -- and also to ensure that the data simply meets basic statistical criteria for validity. In the case of the smoking cessation program profiled in the

Data Analysis in Education
Words: 688 Length: 2 Document Type: Essay

data collection and analysis legitimize the goals and strategies educators create for change and improvement? Given today's emphasis on standardized testing in the era of No Child Left Behind (NCLB), using data-driven analysis to legitimize various educational strategies is essential. "Daily life in districts and schools requires educators to effectively navigate a sea of data: diagnostic and norm-referenced standardized assessment data, reading assessment data, state and local assessment data, in

Sign Up for Unlimited Study Help

Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.

Get Started Now