In type 2 diabetes mellitus (T2DM) patients, heart failure (HF) is a significant clinical
issue resulting from the additive cardiovascular and metabolic risk. In this case, a patient, Mr. J.,
a 68-year-old man with both HF and T2DM, recurrently hospitalized due to the inability to
control blood pressure and blood glucose is the focus. Even with frequent visits, there are gaps at
multiple points in his care — from diagnosis to management — that lead to missed opportunities
for intervention. These "care cascade drop-offs" generate exacerbating symptoms, impaired
quality of life, and increased healthcare costs. To address this problem, an evidence-based
practice (EBP) solution is required to identify and instate interventions that have been shown to
improve both blood pressure and glycemic control. This paper applies the Iowa Model of
Evidence-Based Practice to analyze evidence-based interventions to close care gaps among
patients like Mr. J.
EBP Model Selection and Steps
The Iowa Model of Evidence-Based Practice to Promote Quality Care is a problem-
oriented, systematic method for applying research in clinical practice decision-making. It is
specifically suited to addressing the gaps in the care cascade in HF patients with T2DM because
it not only emphasizes locating credible evidence but also ensures that interventions are tested
and refined under practical conditions before widespread application.
1. Identify the Triggering Issue or Opportunity
The problem triggering this concern is the prevalence of uncontrolled blood pressure and glucose
in HF patients with T2DM due to failures along the care cascade—starting from diagnosis to
long-term follow-up. This is a quality-of-care and patient safety concern.
2. State the Question or Purpose
A clear PICO question is developed: In HF patients with T2DM (P), do chronic disease
interventions combined (I) compared to usual fragmented care (C) affect BP and glycemic
control (O)? This defines the scope of the evidence search.
3. Form a Team
An interprofessional team is established that includes nurses, cardiologists, endocrinologists,
diabetes educators, pharmacists, and patient representatives. This introduces various perspectives
to developing and evaluating interventions.
4. Assemble, Appraise, and Synthesize Evidence
, The team carries out a literature search systematically, and top-priority is given to high-level
evidence like systematic reviews and randomized controlled trials. Research studies on
multidisciplinary care models, community screening, education on self-management by patients,
and electronic monitoring tools provide evidence that is appraised for quality, relevance, and
applicability.
5. Determine if the Evidence Is Sufficient
If strong evidence is found, pilot project design continues. If there is no evidence, small-scale
quality improvement projects or further research are initiated.
6. Pilot the Practice Change and Design
A pilot integrated care model is designed, including HF and diabetes clinic visits, integrating
routine BP/glucose checks into home care, and starting peer-support programs.
7. Evaluate the Pilot and Determine Next Steps
Outcome measures—BP control rates, HbA1c levels, hospital readmission rates, and patient
satisfaction—are collected. Patient and staff feedback inform the refinement.
8. Integrate and Sustain the Practice Change
If results are found to be enhanced during the pilot, the program is implemented more broadly
with ongoing evaluation to facilitate sustainability.
Why This Model Is Appropriate
The Iowa Model is the most suitable for this issue because it melds rigorous evaluation of
evidence with pragmatic, sequential implementation and evaluation. Its pilot-testing of
modifications minimizes risk, and its interdisciplinarity allows for full, patient-centered
treatment of complex comorbidities.
Application of the Iowa Model to the Evidence Search
Applying the Iowa Model began with recognizing the precipitating problem: the long-
standing problem of uncontrolled glucose and blood pressure in patients with heart failure (HF)
and type 2 diabetes mellitus (T2DM) because of care cascade drop-offs. This was confirmed as
such by analyzing clinic results reports of high readmissions and subpar disease poor control.
Second, the PICO question was developed: In HF patients with T2DM (P), what is the impact of
the interventions for chronic disease management being implemented (I) compared with usual
fragmented care (C) on BP and control of glycemia (O)? This would guarantee the search would
target effective high-impact interventions.