NURS FPX 4025 Assessment 3 Using the PICO(T) Process

Student Name

Capella University

NURS FPX 4025

Professor’s name

Submission Date

Using the PICO(T) Process

The acute decompensated heart failure (ADHF) is one of the most problematic cardiovascular issues due to its rapid progression, during which the amount of accumulated fluid, cardiac output, and the ability to supply tissues sufficiency increase. The issue in question is a healthcare emergency that has a high morbidity and mortality. Hence, evidence-based practice (EBP) can be used for the treatment of ADHF since EBP enables specialists to merge the experience of the health care provider, preferences of the patient, and empirical data (Ghorpade & Salvi, 2024). EBP tools are numerous, but PICO(T) is the most potent tool. This approach is based on population, intervention, comparison, outcomes, and time. By using PICO(T), clinicians will have the ability to generate pertinent questions, conduct a literature review, and make a decision regarding the treatment actions. Using the PICO(T) model to address the problem of ADHF will assist nurses in preventing such complications as ischemic stroke.

ADHF

Acute decompensated heart failure is said to be a potentially fatal complication as they do not produce enough output of the heart that, in turn, is incapable of supplying the body with the necessary oxygen in the form of tissue perfusion, resulting in systemic and pulmonary edema. Shortness of breath, exhaustion, fluid overload, and inability to maintain good physical performance are some of the common symptoms that are experienced in ADHF. More so, ADHF today needs emergency medical care since it is highly likely to be put into the hospital. The untreated ADHF is associated with numerous health issues, including prolonged hospitalization, frequent hospitalization, low quality of life, and mortality (Milhem et al., 2025). In addition, ischemic stroke is among the numerous diseases that are regularly observed with ADHF. This can be attributed to the fact that ADHF is surrounded by such hemodynamic changes as stagnation of blood, hypercoagulability, and inadequate cerebral perfusion.

The impacts of ADHF and the risks associated with the complexities of ADHF are tremendous to certain population segments. The elderly, underprivileged individuals, and those with no easy access to healthcare services are more likely to be affected by ADHF and its complications. For example, the poor can face issues such as delayed diagnosis and treatment of their conditions, as well as poor prevention techniques, such as anticoagulation treatment (Milhem et al., 2025). Such disparities might be the reasons why individuals have bigger opportunities of experiencing complications, including strokes. Secondly, minority groups are usually confronted with various issues when they receive appropriate medical attention.

Formulating a PICOT Question

The clinical question should be developed during the EBP practice as it will help the professionals to determine the most effective interventions in improving patient outcomes. Regarding ADHF patients, the most significant problem that arises in this group of patients when dealing with complications encountered during hospitalization is an escalation in the risk of ischemic stroke, which is associated with serious outcomes, including morbidity, mortality, and disabilities. Using PICOT to generate the clinical question can be helpful since it offers valuable guidelines for creating the right question (Jahanshahlou et al., 2024). The clinical question formulated using this process involves aspects of the problem that need to be solved, the population of patients, the intervention used, the comparative intervention, desirable outcomes, and time. As for the issue in question, it may be worthwhile for nurses to focus on early risk assessments of stroke among ADHF patients in order to prevent stroke. Based on this, it is clear that nurses will be very important in effecting the suggested interventions.

PICOT-Formatted Research Question

In adult patients with acute decompensated heart failure (P), compared to standard care with no risk assessment (C), how does nurse-led early stroke risk assessment and prevention (I) versus standard care (C) influence the incidence of ischemic stroke (O) in the course of hospitalization (T)?

PICOT Breakdown

· Population: Non-communicable, acutely decompensated heart failure in adult patients.

· I (Intervention): EPS (Early stroke risk assessment and prevention)

· C (Comparison): Standard care: no stroke risk assessment.

· O (Outcome): Have an impact on the prevalence of ischemic stroke.

· T (Time): In hospital (in 30 days)

The Effect of the PICOT Approach on the ADHF Management

Evidence-based practice will necessitate the use of the PICOT model, and through it, the healthcare professionals will be in a position to test various interventions in order to give the patients sufficient treatment. When it comes to the treatment of ADHF, it is rather clear that early detection of the risk of stroke along with adequate response is required. Assessing the risks of strokes, nurses and other medical workers will be empowered to identify risky patients and make the right recommendations related to their care (Milhem et al., 2025). For instance, monitoring of at-risk patients and administration of anticoagulants in case it is needed will be the two steps that should be undertaken. Evaluation of the risks of stroke can be regarded as the most prominent difference between evidence-based practice and standard practice. Eventually, through the PICOT model, health care professionals will be in a position to enhance the outcomes of the patients.

Search of the Literature Noting Search Engines, Key Words, and Factors of Credibility

The literature was extensively searched with the help of scholarly sources that can be used in this PICOT question. The databases like PubMed, CINAHL, Google Scholar, and ScienceDirect were used. The selected databases have been used due to their credibility of information since they consist of only evidence-based and peer-reviewed information regarding health care. Some of the keywords that will be used during the search procedure are: acute decompensated heart failure, risk of ischemic stroke, stroke prevention in heart failure patients, BNP monitoring, and complications of heart failure. To make sure that valuable evidence is presented, the search procedure included certain filters such that all sources whose content has not been reviewed by peer reviewers or was published less than 5 years ago have been omitted (Jahanshahlou et al., 2024). In addition, there were also some factors that need to be taken into consideration as regards the credibility of the selected scholarly source, and this included the credentials of the author, the reputation of the journal, the type of study, and the size of the sample. The exclusion criteria were all studies that were not related to ADHF or ischemic stroke.

Credibility of Articles

These sources have been considered based on a few criteria that make them evidence-based practice. These criteria include peer-reviewing of these sources and their adequate methodology. Sources with a substantial sample size and undistorted methodology and evaluation of statistics were considered credible. It is better to use peer-reviewed sources since they are always carefully checked by specialists before being published (Jalil & Tran, 2024). This makes the results more accurate, reliable, and valid. Moreover, researchers have considered studies that apply evidence-based techniques of diagnosis as more credible.

Results of Relevant Sources on ADHF

The interplay between ADHF, stroke risk, and the importance of early monitoring interventions is discussed within the following academic sources. Iguchi et al. (2021), in their study, which involved over 4,000 patients with ADHF, indicated that one of the complications is ischemic stroke, which is experienced during hospitalization. High BNP, acute coronary syndrome, and atrial fibrillation are predictive factors of the development of the condition. In this regard, it would be beneficial to identify predictors at an early stage that would assist in the planning of effective preventive measures. In a multisite study which was conducted by Yamasaki et al. (2026) on 5,000 subjects, ischemic stroke was observed to be common during the first 30 days of admission. The type of stroke observed to be predominant was cardioembolic stroke, whereas an abnormal level of hemoglobin was determined as one of the predictors.

This systematic review and meta-analysis by Ran et al. (2025) of the predictive potential of NT-proBNP in ischemic stroke utilized eleven clinical studies and eleven clinical trials of 2,994 patients and revealed that the biomarker was very precise in predicting patient outcomes. NT-proBNP had high sensitivity and specificity and was thus useful in risk stratification. Since NT-proBNP is often increased in ADHF, it will be possible to learn at the initial monitoring stage to identify at-risk patients. Lucki et al. (2025) considered factors that are linked to long hospital stays in ADHF. The study found that the severity of the diseases and the length of stay in the hospital are associated with a high probability of developing complications that can encompass thromboembolism. The given finding highlights the need to adopt interventions in the initial phases of treatment.

Credibility of Sources

Credibility of the chosen sources will be evaluated according to the research design, size of the sample, and direct accessibility of the particular source to the chosen intervention, which presupposes early stroke risk assessment and monitoring. The systematic review and meta-analysis article by Ran et al. (2025) on NT-proBNP, that were published in 2025, is the most credible source of information to use within the framework of the proposed study since the authors conducted a systematic review and meta-analysis of 11 prospective studies and a very large combined sample. It is considered to be the highest level of evidence because they are a combination of information from multiple studies to produce more reliable and generalizable inferences. The chosen source is directly related to the intervention as it is devoted to one of the most important biomarkers to assess the risk of stroke.

Yet, two large-scale cohort studies by Yamasaki et al. (2026) and Iguchi et al. (2021) are next in line in terms of the credibility of the information given. The authors in both studies have conducted a review of over 4,000 and 5,000 patients, and the research design employed is very strong. This kind of research offers highly dependable information on risk factors of stroke, stroke risk time, and prediction among patients with ADHF. The study carried out by Lucki et al. (2025) is the study that is not the most reliable, yet it is valuable. This is attributed to the fact that it deals with a limited sample population, and it is concerned with long-term hospital stay. It gives a background of the topic. Nevertheless, typically, the credibility level is equal to the evidence quality and the applicability of the studies to the PICOT question.

Relevance of Findings to PICO(T)

The results of the selected studies align with the various segments of the PICO(T) question, namely the intervention and its impact in the prevention of the occurrence of ischemic stroke among patients with ADHF. To begin with, Iguchi et al. (2021) present a great amount of evidence supporting the intervention and outcome components of the PICO(T) question since they determine the predictors of ischemic stroke, such as elevated BNP levels and acute coronary syndrome. It demonstrates that with an early identification of these risk factors, it is possible to implement preventive procedures that can be used to minimize the risk of getting ischemic stroke in patients with ADHF. Second, Yamasaki et al. (2026) bring an additional element of time and interventions to the PICO(T) question as they point out the greater chances of developing an ischemic stroke within 30 days following admission. Additionally, the results of Yamasaki et al. (2026) can be aligned with the outcome component of the PICO(T) question since the detection of some risk factors early, such as hemoglobin concentration, can enhance the outcome of patients.

Regarding the PICOT question, Lucki et al. (2025) indirectly support the study by covering two aspects of the research: the comparison (C) and the outcome (O) aspects. The authors say that unstructured early monitoring exacerbates the chances of complications amongst patients having more severe illnesses and prolonged hospitalization, including stroke. This implies that there are some limitations of regular care and that it is crucial to carry out monitoring on a proactive basis. The intervention (I) component is supported by a systematic review and meta-analysis conducted by Ran et al. (2025) on NT-proBNP, as it demonstrates that this biomarker is able to determine the risk of mortality in addressing ischemic strokes. Since NT-proBNP tends to be elevated in all patients with ADHF, early risk identification with the tool will aid in improved decision-making concerning the continued care delivery. The outcome (O) element is also demonstrated through this study, which confirms that risk stratification has a better prognosis and reduces morbidity. In conclusion, the four articles demonstrate ways in which structured early monitoring is much more effective than normal care in identifying high-risk patients with ADHF, as well as avoiding cases of stroke among hospitalized patients.

Assumptions

In the analysis of evidence on early risk assessment of stroke in patients with acute decompensated heart failure (ADHF), there were a number of assumptions made during this evaluation. First, it is assumed that the findings achieved in the chosen articles can be applied to all the patients with ADHF, irrespective of any differences in patient demographics or resources offered to patients in the hospitals where they receive treatment. Secondly, the assumption applied is that the healthcare facilities have enough resources that would enable them to implement early monitoring programs (Wang et al., 2026). This involves the availability of the BNP or NT-proBNP test kits, neurological tests, and staff to carry out these tests. These assumptions collectively shape the extent to which the findings can be generalized across diverse clinical settings. Lastly, an assumption was made that all the patients in the ADHF group would have a similar response to the monitoring interventions despite various health problems that they may be experiencing.

Conclusion

PICO(T) is a tool that is employed to identify clinical issues and the level of evidence required to adopt evidence-based interventions. Hospitalized patients with ADHF are at risk of developing ischemic stroke, which can be prevented by early stroke risk assessment and prevention. The early identification of risks associated with high levels of BNP, hemoglobin alterations, and prolonged hospitalization can assist healthcare professionals in recognizing at-risk patients and implementing necessary treatment, as seen in the evidence of the reviewed literature. Patients who are routinely treated and are not monitored early have poor outcomes with an increased likelihood of acquiring a negative health outcome and mortality. On the whole, the results prove that risk assessment of early stroke is an evidence-based intervention that can be implemented in ADHF patients.

References

Ghorpade, V. K., & Salvi, S. N. (2024). Enhancing healthcare through evidence-based practice: A comprehensive review. Saudi Journal of Nursing and Health Care, 7(01), 1–2. https://doi.org/10.36348/sjnhc.2024.v07i01.001

Iguchi, M., Kato, T., Yaku, H., Morimoto, T., Inuzuka, Y., Tamaki, Y., Ozasa, N., Yamamoto, E., Yoshikawa, Y., Kitai, T., Hamatani, Y., Yamashita, Y., Masunaga, N., Ogawa, H., Ishii, M., An, Y., Taniguchi, R., Kato, M., Takahashi, M., & Jinnai, T. (2021). Ischemic stroke in acute decompensated heart failure: From the KCHF registry. Journal of the American Heart Association, 10(21). https://doi.org/10.1161/jaha.121.022525

Jahanshahlou, F., Akbarzadeh, M.-A., Zarei, M., & Vaez-Gharamaleki, Y. (2024). Formulating research questions for evidence-based Studies. Journal of Medicine, Surgery, and Public Health, 2(2), 1–5. https://doi.org/10.1016/j.glmedi.2023.100046

Jalil, P. M., & Tran, N. H. (2024). Enhancing research methodology and academic publishing: A structured framework for quality and integrity. ArXiv (Cornell University). https://doi.org/10.48550/arxiv.2412.05683

Lucki, M., Mitkowski, P., Lucka, E., Grygier, M., Straburzyńska-Migaj, E., Morawiec, R., Kapłon-Cieślicka, A., Galas, A., Katarzyna Byczkowska, Hamala, P., Gorczyca-Głowacka, I., Furman-Niedziejko, A., Klimczak-Tomaniak, D., Major, A., Stefański, A., Guzik, M., Zachura, M., Staciwa, M., Pierzchała, E., & Nadel, M. (2025). Risk factors for prolonged hospitalization in acute decompensated heart failure from the HEROES study. Scientific Reports, 15(1). https://doi.org/10.1038/s41598-025-14100-1

Milhem, F., Almur, O., Hajjeh, O., Bdair, M., Dahmas, A. M., Haddad, K. B., Shubietah, A., Al-Said, O. S., Al-Braik, R., Abukhalil, M. M., Ayaseh, Q. Z., Jallad, H., Karaki, L., Hamshari, H., & AbuBaha, M. (2025). Advances and controversies in acute decompensated heart failure treatment: Beta-blocker roles, emerging devices, and future directions. Annals of Medicine and Surgery, 87(9), 5696–5719. https://doi.org/10.1097/ms9.0000000000003592

Ran, J., Liu, Y., Ma, H., & Zhang, Y. (2025). Accuracy of NT-proBNP for predicting mortality amongst patients with ischemic stroke: A systematic review and meta-analysis. BioMed Central Medicine, 23(1). https://doi.org/10.1186/s12916-025-04299-1

Wang, X., Wang, G., Liu, Y., Xia, L., Zhao, Y., Mao, L., Shi, X., & Yin, R. (2026). Effectiveness of symptom perception interventions among patients with heart failure: A systematic review and meta-analysis. Frontiers in Cardiovascular Medicine, 13. https://doi.org/10.3389/fcvm.2026.1704096

Yamazaki, Y., Shiraishi, Y., Kohsaka, S., Ikegami, S., Kohno, T., Nagatomo, Y., Kitamura, M., Sakamoto, M., Nomoto, M., Takahashi, T., Kobayashi, M., Higuchi, S., Ieda, M., & Yoshikawa, T. (2026). Acute decompensated heart failure complicated by ischemic stroke and its association with hemoglobin levels. Circulation Reports, 12. https://doi.org/10.1253/circrep.cr-26-0015