This paper presents a qualitative research proposal investigating the challenges physicians face when making an early diagnosis of Alzheimer's disease in women. Drawing on evidence that women are 1.5 times more likely than men to develop Alzheimer's and face elevated genetic risk, the study examines social, cultural, and practical barriers to timely diagnosis. Guided by uncertainty reduction theory, the health belief model, and a social constructionist perspective, the research employs semi-structured interviews and focus group discussions with approximately 30 healthcare professionals in urban and suburban northeastern U.S. facilities. Thematic analysis will be used to identify patterns related to physician knowledge, diagnostic tool efficacy, and potential gender biases in clinical practice.
This paper demonstrates the construction of a qualitative research rationale by weaving multiple peer-reviewed sources into a coherent justification for the study. Rather than listing studies in isolation, the writer synthesizes findings on biological risk, social factors, and diagnostic challenges to build a logical case for why the proposed research is necessary and timely.
The paper follows a standard two-section research proposal format: a Problem Statement that establishes prevalence, risk, and knowledge gaps supported by citations, followed by a Purpose Statement that outlines the theoretical framework, data-collection stages (interviews and focus groups), analytical approach (thematic analysis), and logistical details such as sample size and site selection. The references section uses APA format throughout.
The problem addressed in this study is understanding the challenges doctors face in making an early diagnosis of Alzheimer's disease in women. This challenge is relevant because evidence shows that sex differences exist in the etiology and disease course of Alzheimer's (Waters & Laitner, 2021). Moreover, as Zhou and Zhu (2022) show, women are 1.5 times more likely than men to have Alzheimer's. Understanding the challenges that prevent doctors from making an early diagnosis of this disease in women could help in improving predictive models for the disease (Romero-Rosales et al., 2020). Currently, women are at elevated risk of genetic predisposition for Alzheimer's (Buckley et al., 2019), yet doctors continue to struggle to affirm best practices when it comes to making an early diagnosis of this disease in women (Dubois et al., 2021).
Mielke et al. (2022) have found that social and cultural factors may cause gender inequities in Alzheimer's disease. These same factors may also influence physicians' perceptions and diagnoses when making an early diagnosis of Alzheimer's disease in women (Ben-Joseph et al., 2019). For these reasons, there is a need to understand what challenges physicians face with regard to this matter — whether they are social, cultural, communal, or practical (Fancourt et al., 2019).
The stakeholders primarily impacted by this issue are women and their physicians, along with the healthcare organizations where treatment may be provided. What is not yet known — but should be — is what challenges physicians face, from their own perspectives, when confronted with the task of making an early diagnosis of Alzheimer's in women. The potential negative consequences if the problem is not addressed include, beyond increased healthcare costs, a lower quality of life for women with Alzheimer's due to late-stage diagnosis. Early detection, by contrast, could allow for significantly better disease management.
The purpose of this qualitative study is to examine the experiences and attitudes of physicians toward diagnosing Alzheimer's disease in women, with a focus on the social and cultural factors that may influence their perceptions and diagnoses. The study will be guided by a theoretical framework consisting of a combination of uncertainty reduction theory (i.e., initial interaction theory), the health belief model, and the social constructionist perspective (Maddux et al., 2019; Sharabi, 2021; Yuen et al., 2021).
Ben-Joseph, A., Marshall, C., Lees, A., & Noyce, A. (2019). Ethnic variation in the manifestation of Parkinson's disease: A narrative review. Journal of Parkinson's Disease.
Buckley, R., Mormino, E., Chhatwal, J., Schultz, A., Rabin, J., Rentz, D., Acar, D., Properzi, M., Dumurgier, J., Jacobs, H., Gómez-Isla, T., Johnson, K., Sperling, R., & Hanseeuw, B. (2019). Associations between baseline amyloid, sex, and APOE on subsequent tau accumulation in cerebrospinal fluid. Neurobiology of Aging. https://doi.org/10.1016/j.neurobiolaging.2019.02.019
Dubois, B., Villain, N., Frisoni, G., Rabinovici, G., Sabbagh, M., Cappa, S., Bejanin, A., Bombois, S., Epelbaum, S., Teichmann, M., Habert, M., Nordberg, A., Blennow, K., Galasko, D., Stern, Y., Rowe, C., Salloway, S., Schneider, L., Cummings, J., & Feldman, H. (2021). Clinical diagnosis of Alzheimer's disease: Recommendations of the International Working Group. The Lancet Neurology. )00066-1
Fancourt, D., Steptoe, A., & Cadar, D. (2019). Community engagement and dementia risk: Time-to-event analyses from a national cohort study. Journal of Epidemiology and Community Health.
Maddux, J. E., Gosselin, J. T., & Winstead, B. A. (2019). Conceptions of psychopathology: A social constructionist perspective. In Psychopathology (pp. 3–18). Routledge.
Mielke, M., Aggarwal, N., Vila-Castelar, C., Agarwal, P., Arenaza-Urquijo, E., Brett, B., Brugulat-Serrat, A., DuBose, L., Eikelboom, W., Flatt, J., Foldi, N., Franzen, S., Gilsanz, P., Li, W., McManus, A., Lent, D., Milani, S., Shaaban, C., Stites, S., Sundermann, E., Suryadevara, V., Trani, J., Turner, A., Vonk, J., Quiroz, Y., & Babulal, G. (2022). Consideration of sex and gender in Alzheimer's disease and related disorders from a global perspective. Alzheimer's & Dementia: The Journal of the Alzheimer's Association.
Romero-Rosales, B., Tamez-Peña, J., Nicolini, H., Moreno-Treviño, M., & Treviño, V. (2020). Improving predictive models for Alzheimer's disease using GWAS data by incorporating misclassified samples modeling. PLoS ONE. https://doi.org/10.1371/journal.pone.0232103
Sharabi, L. L. (2021). Online dating profiles, first-date interactions, and the enhancement of communication satisfaction and desires for future interaction. Communication Monographs, 88(2), 131–153.
Waters, A., & Laitner, M. (2021). Biological sex differences in Alzheimer's preclinical research: A call to action. Alzheimer's & Dementia: Translational Research & Clinical Interventions.
Yuen, K. F., Saidi, M. S. B., Bai, X., & Wang, X. (2021). Cruise transport service usage post COVID-19: The health belief model application. Transport Policy, 111, 185–196.
Zhou, C., & Zhu, D. (2022). Abstract EP38: Women with type 2 diabetes are 1.5 times more likely to have Alzheimer's disease than men. Circulation.
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