Post a total of 3 substantive responses over 2 separate days for full participation. This includes your initial post and 2 replies to classmates or your faculty member.

Due Saturday because of Thanksgiving

To prepare for this week’s discussions, begin by selecting and reading 1 article from the University Library. Then, respond to the following questions in a minimum of 175 words:

What data collection method(s) did the researcher use? Why did they choose this method(s)? Were they appropriate? Why or why not?
Were the methods effective or ineffective for gathering data and proposing interventions for the targeted community? Why or why not?
What rationale, examples, and comparisons would you use to defend your perspectives? What other methods might have been appropriate given the study aim(s) and design?
From what you have read, what are the qualities of a well-defined data collection process?
Draw on examples from textbook readings and/or current events to support your ideas.

Include the reference used to write your response. The reference MUST be cited within your post.

Due Monday

Post 2 replies to classmates or your faculty member. Be constructive and professional.

Hello Class,

The article I selected examines how researchers identify professional practice gaps in the management of hypertension through a structured needs assessment process for continuing medical education (Marx, 2013). The primary data collection methods included a thorough review of existing literature, clinical practice guidelines, national epidemiologic statistics, physician surveys, and government reports. These methods were selected because they offer a broad and credible foundation for understanding both population health patterns and real clinical behaviors. They were appropriate for this topic because hypertension is well documented, and strong secondary sources already exist to guide public health decision making.

These methods proved effective for identifying where current practice fails to align with best practice recommendations. For example, comparisons with the JNC 7 guidelines and epidemiologic data made it possible to identify gaps such as inadequate therapy intensification and low adherence to recommended treatment thresholds. Using national surveys also helped show that many clinicians are aware of the guidelines but do not consistently apply them. This information helped the researcher propose educational interventions that are grounded in real barriers experienced in clinical settings.

To support this perspective, I would highlight that epidemiologic research often benefits from secondary data when the condition has been widely studied. However, there are additional methods that could strengthen the findings. For instance, qualitative interviews with clinicians or direct chart audits would offer deeper insight into why clinical inertia persists and how workflow challenges influence treatment decisions.

A well defined data collection process includes a clear purpose, strategically chosen methods that match the research question, the use of multiple complementary data sources, and evidence that directly supports potential solutions. The article demonstrates all of these qualities by connecting epidemiologic evidence to practical interventions aimed at improving hypertension control.

Referances

Marx, J. L. (2013). Designing continuing medical education to improve clinician practice. Part 2: Writing the needs assessment. AMWA Journal, 28(2), 74 to 76.

EBSCO-FullText-11_26_2025

The study Cancer Incidence in Montana: Rates for American Indians Exceed Those for Whites relied primarily on population. Based cancer registry data including the Montana Central Tumor Registry and state vital records. These secondary data sources were chosen because they provide standardized statewide reporting of cancer diagnoses. Making them the most appropriate method for accurately measuring incidence. While effective for identifying disparities and highlighting which cancer types disproportionately affect American Indians, these methods are limited for understanding the underlying causes of those disparities or proposing culturally grounded interventions. Registry data lack information on social determinants of health, access barriers, and community experiences. All factors that strongly influence cancer outcomes. To strengthen the study, additional methods such as surveys, interviews, or community based participatory research could have provided richer context. A well defined data collection process should be clear, reliable, transparent about limitations, and culturally respectful, particularly when working with Indigenous communities. Recent public health efforts show that combining registry data with community engagement leads to more effective, culturally relevant interventions.

Reference

Harwell, T. S., Miller, S. H., Lemons, D. L., Helgerson, S. D., & Gohdes, D. (2006). Cancer incidence in Montana: Rates for American Indians exceed those for whites. American Journal of Preventive Medicine, 30 (6), 493-497.

The article Global Patterns of Mortality in Young People: A Systematic Analysis of Population Health Data examined worldwide rates and patterns of mortality between early adolescence and young adulthood to highlight major global trends. The researchers relied on secondary data from sources such as the Global Burden of Disease study, WHO surveillance reports, and international epidemiological datasets to compare mortality profiles across regions and income levels. This approach was appropriate for describing large-scale patterns, revealing that young people experience far higher burdens of injury, violence, mental health disorders, early pregnancy, and preventable mortality than commonly assumed. However, relying solely on secondary data limits insight into contextual factors, cultural influences, and lived experiences that shape adolescent risk, making the findings less useful for designing community-level interventions. Current events, such as the COVID-19 pandemic, reinforce this limitation; national data showed increased youth mental health problems, but qualitative interviews and school-based research were necessary to understand the underlying causes. Additional methods—such as interviews with adolescents, parents, and educators or school-based surveys like the CDC’s Risk Behavior Survey, would strengthen future studies by providing more actionable insights.

REFERENCE

Patton, G. C., Coffey, C., Sawyer, S. M., Viner, R. M., Haller, D. M., Bose, K., Vos, T., Ferguson, J., & Mathers, C. D. (2009). Global patterns of mortality in young people. The Lancet, 374(9693), 881–892

In Reducing the Odds: Preventing Perinatal Transmission of HIV in the United States, the researchers used a combination of literature reviews, epidemiological data analysis, and expert panel consultations as their primary data collection methods (McCormick, et al., 1999). These methods were chosen because the study’s purpose was to evaluate national trends, barriers, and intervention outcomes rather than collect new field data. This approach was appropriate given the public health focus and the need to synthesize evidence from multiple existing sources. As noted in the report, national HIV surveillance data, clinical trial results, and program evaluation findings were essential for understanding how interventions were impacting perinatal transmission rates (McCormick et al., 1999).

These methods were effective for the targeted community because they allowed researchers to review large-scale population data while also incorporating clinical expertise. The epidemiological analysis helped identify risk patterns, while expert consultations contextualized real-world implementation challenges (McCormick et al., 1999). However, the methods could be limited in capturing the lived experiences of pregnant women affected by HIV. Adding qualitative interviews or community focus groups may have strengthened the understanding of barriers to testing and treatment uptake.

A well-defined data collection process should be systematic, transparent, and aligned with the research goals. It should integrate multiple data sources when appropriate and ensure reliability and validity. Public health research during the COVID-19 pandemic similarly relied on a combination of surveillance data and expert interpretation, demonstrating the ongoing importance of such mixed evidence-based approaches (McCormick et al., 1999).

Reference

McCormick, M. C., Almario, D. A., & Stoto, M. A. (1999). Reducing the odds: Preventing perinatal transmission of HIV in the United States. National Academies Press.

The article by Harwell et al. (n.d.), Cancer Incidence in Montana: Rates for American Indians Exceed Those for Whites, utilized secondary data analysis from the Montana Central Tumor Registry. This registry aggregates standardized cancer incidence data statewide, including demographic and clinical details. The researchers chose this method because cancer registries are considered the gold standard for population-level surveillance, offering comprehensive and reliable data for comparing cancer rates across racial groups. This approach was appropriate for the study’s aim of identifying disparities between American Indians and Whites, as it allowed for accurate trend analysis and policy implications. The method was effective for quantifying disparities and guiding interventions because it provided large-scale, longitudinal data. However, limitations such as potential misclassification of race and incomplete reporting could affect accuracy. To strengthen the findings, complementary methods like community-based surveys or qualitative interviews could have explored cultural and socioeconomic factors influencing cancer risk and screening behaviors. A well-defined data collection process is systematic, transparent, and aligned with research objectives. It includes clear case definitions, standardized coding, and rigorous quality checks—qualities exemplified by cancer registries. Compared to ad hoc surveys, registry data enable trend analysis and evidence-based planning, making them invaluable for public health strategies.

Reference

Harwell, T. S., Miller, S. H., Lemons, D. L., Helgerson, S. D., & Gohdes, D. (n.d.). Cancer incidence in Montana: Rates for American Indians exceed those for Whites. [Journal Name], [Volume(Issue)], [pages].

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Data Collection

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MPH/530: Epidemiology Concepts And Public Health Diseases

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Welcome to the Course and Getting Started

Wk 1 - Community and Population Health Data

Wk 2 - Disease Prevention and Program Implementation

Wk 3 - Social Justice and Health Equity in Epidemiology

Wk 4 - Examining Epidemiology Research Design

Wk 5 - Evaluating Epidemiology Research Methods

Wk 6 - Applying Epidemiology Research Methods

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Wk 1 Discussion - Data Collection (initial response due Saturday)

MPH/530: Epidemiology Concepts And Public Health DiseasesWk 1 Discussion - Data Collection (initial response due Saturday)

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