Staff Education Program to Reduce Medication Noncompliance in Patients Diagnosed with Schizophrenia

For nursing students

Study summary

Schizophrenia is a chronic mental health condition marked by positive symptoms (delusions, hallucinations, disorganized thinking) and negative symptoms (a general flattening of normal mental activity, such as reduced motivation or emotional expression). Consistent antipsychotic medication use is central to keeping the condition stable, yet research consistently shows that many patients diagnosed with schizophrenia struggle to take their medication as prescribed. When patients stop or skip medication, symptoms can return or worsen, often leading to repeat hospitalizations and a lower overall quality of life.

This DNP (Doctor of Nursing Practice) project, completed by Patience Madu at Walden University, tackled this problem from the staff side rather than the patient side. Instead of asking patients why they don't take medication, the project asked a different practice-focused question: does an educational program delivered to staff nurses increase nurses' knowledge of how to encourage medication adherence among patients diagnosed with schizophrenia? The logic is straightforward: if bedside and mental health nurses understand why patients stop taking medication and have concrete strategies to respond, they are better positioned to support adherence during everyday care.

The program was built around the health belief model (HBM), a framework commonly used in health education. The HBM proposes that a person's health behavior is shaped by how they perceive the threat of their condition, the benefits of treatment, the barriers to following through, and their own confidence in managing it. By training nurses on these HBM concepts, the project aimed to help them recognize why an individual patient with schizophrenia might resist medication (for example, side effects, lack of insight, or mistrust) and to respond with specific, actionable strategies rather than generic reminders.

To test whether the education actually worked, the project used a pre-survey/post-survey design. Nurses completed a knowledge survey before the educational session and the same or a comparable survey afterward. The two data sets were compared using a paired t-test (which checks whether the average score changed significantly for the same group of people from one time point to another) and a Pearson correlation (which checks whether variables move together, such as whether higher pre-test scores predicted higher post-test scores). The result was a statistically significant increase in nurses' knowledge, with a p-value of less than 0.05. In plain terms, a p-value under 0.05 means the improvement seen after the education was very unlikely to be due to chance alone, which supports the conclusion that the program did what it set out to do.

It's worth being precise about what this finding does and doesn't show. The abstract confirms that nurses' knowledge increased after the educational intervention. It does not report the number of nurses who participated, the exact survey instrument used, or whether the knowledge gains translated into a measurable change in patient medication adherence, hospitalization rates, or other clinical outcomes. Those details may exist in the full dissertation text, but they are not part of the abstract available for this summary, so they should not be assumed.

For nursing students, this project is a good illustration of a quality-improvement-style DNP project: identify a real clinical problem (medication noncompliance in schizophrenia), pick a theoretical framework to structure the intervention (the health belief model), design a low-burden staff intervention (an education session), and measure the outcome with a simple, appropriate statistical test (paired t-test, Pearson correlation) rather than a large randomized trial. This is a common and appropriate design for practice-focused doctoral projects, where the goal is local improvement rather than generalizable research.

The broader context also matters. Medication noncompliance in schizophrenia is a well-documented problem in psychiatric nursing literature, and it carries consequences for both individuals and health systems: symptom relapse, more frequent psychiatric hospitalizations, and reduced quality of life for patients and families. In Canadian practice, supporting medication adherence and patient teaching fall squarely within registered nurses' scope, and unit-based in-service education like this mirrors the kind of continuing-competence activity provincial regulators expect nurses to undertake. Projects that strengthen nurses' knowledge and skills around adherence-supporting conversations are one piece of addressing that larger pattern, even though a single staff education session is unlikely to solve noncompliance on its own. Students should read this project as evidence that staff education can move the needle on nurse knowledge, while remembering that knowledge gains among staff are a step toward, not a guarantee of, improved patient-level medication adherence.

For educators

Teaching and appraisal notes

This is a Doctor of Nursing Practice (DNP) project by Patience Madu, completed at Walden University's School of Nursing (2024, Walden ScholarWorks dissertation record 16734), addressing medication noncompliance among patients diagnosed with schizophrenia through a staff-facing educational intervention rather than a patient-facing one. The practice-focused question was whether an educational program delivered to staff nurses would increase nurses' knowledge of strategies to encourage medication adherence in this population.

The project is theoretically grounded in the health belief model (HBM), which frames health behavior as a function of perceived susceptibility, perceived severity, perceived benefits, perceived barriers, and self-efficacy. Using the HBM as an organizing framework for staff education is a reasonable choice given the model's long history in adherence-focused patient education, though it is worth noting for discussion that some current literature on schizophrenia-specific adherence questions how well purely cognitive/rational models like the HBM capture adherence behavior in a population where insight, cognition, and illness awareness are themselves affected by the disorder. This is useful supplementary context, not a critique found in the source abstract itself.

Methodologically, the project used a single-group pre-survey/post-survey design around the educational intervention, with data analyzed via a paired t-test and Pearson correlation. The paired t-test is an appropriate choice for detecting whether the same group of nurses' knowledge scores changed meaningfully from before to after the intervention, and the Pearson correlation adds information about the relationship between pre- and post-scores. The abstract reports a statistically significant increase in knowledge (p < 0.05), which supports the project's core practice-focused question. However, the abstract does not specify the sample size, the survey instrument's validity/reliability, the length or format of the educational session, or the clinical setting and unit type, all of which are important for appraising internal validity and transferability. These are gaps for students to identify explicitly, not findings to infer.

As a project design, this reflects a common and defensible approach for DNP scholarly work: a pre/post, single-site staff education evaluation using validated statistical tests, targeting a proximal outcome (nurse knowledge) rather than a distal outcome (patient medication adherence or rehospitalization rates). Faculty may want to use this as a teaching example of the distinction between 'did the education work on staff knowledge' and 'did the intervention change patient outcomes' — the former is what this project measured and supports, the latter is not established by this abstract and should not be implied in class discussion without caveat.

Discussion angles for seminar: (1) appropriateness of the HBM for staff education about a patient population with variable insight; (2) the strength of evidence a single pre/post knowledge survey provides compared to a controlled or longitudinal design; (3) how knowledge gains among nurses might (or might not) translate into behavior change and, eventually, patient-level adherence; (4) what additional outcome measures (e.g., a validated medication adherence scale, rehospitalization audit, or patient-reported outcomes at a follow-up interval) would strengthen a next iteration of this quality improvement work; and (5) the broader clinical and system-level stakes of schizophrenia medication noncompliance — symptom relapse, hospitalization burden, and quality of life — that motivate this line of DNP practice-improvement scholarship. Full dissertation text (via Walden University ScholarWorks, dissertation record 16734) may contain additional detail on sample size, instrument, and setting not captured in the publicly available abstract; instructors with institutional access should verify before presenting specific figures beyond what is summarized here.