final deliverable
Mentors
Presentation44210110.pptxMultidisciplinary Care Strategy Evaluation
Student’s Name
Institutional Affiliation
Course Code & Title
Instructor’s Name
Date
Introduction to Triangulated Evaluation Strategy
In my proposed evaluation, I will use triangulation to ensure a comprehensive analysis.
This approach allows me to gather insights from multiple perspectives, increasing the reliability of the findings.
I believe it's ideal for evaluating the multidisciplinary care strategy because of its complexity.
By combining quantitative, qualitative, and observational data, I’ll gain a more holistic view.
Applying this to my practice will help assess the true impact on patient adherence and collaboration.
In my assessment, I will adopt a triangulated approach because the use of more than one method will provide comprehensive assessment of this multidisciplinary care strategy. Because data from differing perspectives can be used to enhance the credibility of the results, such an approach would be best for assessing some complex interventions such as collaborative care in mental health, which help give a fuller picture. The quantitative, qualitative, and observational data will ensure I capture both objective outcomes and subjective experiences (Donkoh & Mensah, 2023). This is particularly useful because problems like non-adherence by patients require an understanding of the 'why', rather than the numbers that compose such phenomena. Consequently, this approach will allow me to understand how the multidisciplinary approach enhances patient engagement, increases adherence to treatment plans, and establishes overall communication within the care team.
2
Quantitative Evaluation Approach
I will collect numerical data to measure treatment adherence before and after implementing the strategy.
Standardized tools, such as the PHQ-9 for depression, will help track changes in mental health outcomes.
I plan to monitor metrics like missed appointments, emergency visits, and hospitalizations.
To gauge satisfaction, I’ll administer patient surveys at key points in treatment.
These statistics will help me determine if the multidisciplinary approach improves adherence and outcomes.
This quantitative approach will enable me to quantify how well the multidisciplinary care strategy has been in realizing improved treatment adherence and patient outcomes. Numerical data that I might collect could include rates of missed appointments. I observe and track whether patients take their prescribed medications. Measures of improvement in mental health using standardized assessment tools like PHQ-9 for depression are consistent in showing patients improve. Surveys regarding patient satisfaction will also be useful in providing feedback on perceived treatment both before and after the intervention. Such a temporal comparison would allow me to determine whether the collaborative approach reduces emergency visits and hospitalizations while increasing adherence rates. This quantitative data would provide a clear, measurable indicator of the strategy's success in improving patient care and adherence.
3
Qualitative Evaluation Approach
To capture patient experiences, I will conduct interviews and gather in-depth feedback.
I’ll also seek input from my healthcare team on how well collaboration is working.
Open-ended survey questions will help me explore patients’ feelings about shared decision-making.
By identifying themes in this feedback, I’ll understand patient trust and satisfaction levels.
This qualitative data will highlight areas for improvement in the care process.
The qualitative assessment will therefore be based on very detailed information from the patients and providers, to understand their experiences of the strategy of multidisciplinary care. I would interview the patients to understand if they feel supported enough by the team members and if they are more involved in decision-making (Cheron et al., 2022). On the other hand, feedback received from healthcare providers will demonstrate how well teams share information and coordinate effectively. Open-ended surveys will enable the patients to express opinions concerning shared decision-making, trust, and satisfaction with care. These are what I will be analyzing to find out reoccurring themes and areas that might necessitate an adjustment. This is qualitative data and offers a deep level of insight into the human aspects of care.
4
Observational Evaluation Approach
I will observe team meetings to evaluate how well we communicate and coordinate care.
I’ll pay attention to how involved patients are in their own care planning.
It’s important for me to monitor how we address patient concerns and adjust treatment plans accordingly.
I’ll also watch for changes in patient behavior, such as attending therapy sessions more regularly.
By documenting these observations, I can assess the effectiveness of the multidisciplinary approach in real time.
The observational approach will involve my assessment of team dynamics and patient involvement by directly observing care coordination activities. I will monitor multi-disciplinary team meetings, observing professionals' communication and collaboration in planning patient care (Chalkidou et al., 2021). More importantly, I will be observing how patients are involved in the discussion about their treatment plans and how the team accommodates care due to patient feedback. This will help me have a better understanding whether the strategy encourages effective care coordination and meets the needs of the patients. I will be observing indications of patient behavior, whether they regularly attend therapy sessions or follow through with prescribed care. It would provide measures of adherence indirectly. It would, therefore, help in pointing out some strengths and gaps concerning how the care is delivered or coordinated.
5
Patient Adherence Metrics
I will track adherence by monitoring follow-up appointment attendance and therapy engagement.
Medication refill records will provide insight into whether patients are following prescribed regimens.
I plan to assess compliance with recommended self-care strategies.
Over time, I’ll use longitudinal tracking to monitor any changes in adherence.
By correlating this data with mental health outcomes, I’ll evaluate how well the strategy is working.
The evaluation will also involve the tracking of the patient adherence metrics. I will be monitoring the behavior of the patients to see if there is improvement in attendance to follow-up appointments and adherence to either their particular therapy or medication regimen through the multidisciplinary strategy. Other ways of tracking this include medication refill data showing if treatments prescribed are taken consistently by the patients (Spinelli et al., 2020). I will also be checking on the status of the follow-through of self-care strategies that are crucial to maintaining mental health conditions. In the long term, I will be observing whether these measures continue to improve. Through this correlation with mental health outcomes, one can determine if increases in adherence are translating into improved health and well-being of patients, thereby giving evidence of the effectiveness of the strategy.
6
Mental Health Outcome Measures
I will utilize clinical scales like the GAD-7 for anxiety and the PTSD Checklist to measure changes in mental health.
My focus will be on symptom reduction and improvements in daily functioning.
I’ll also track how often patients experience acute crises or require emergency interventions.
Patient-reported outcomes will provide insights that enable me to track general well-being and satisfaction with life.
These will clearly indicate the contribution/impact the multidisciplinary team is making to mental health.
Clinically validated scales, such as the GAD-7 for anxiety and the PTSD Checklist, help to follow the effects of a multidisciplinary approach on the patients' mental health status. This will allow me to follow the improvement in symptom severity and functional status in patients with mental health conditions. The frequency of acute crises or emergency interventions will also be followed to see whether the collaborative approach prevents deteriorations in mental health. Further, additional insights into overall well-being and life satisfaction will be tapped from patient-reported outcomes beyond symptom reduction. Analyzing these results over time for any changes will provide an indication of whether the collaborative care model leads to better long-term mental health for patients.
7
Stakeholder Feedback and Engagement
I will gather feedback from all members of the care team to ensure every voice is heard.
Family members’ perspectives on the patient’s progress will also be important to capture.
Patients themselves will be key participants in providing feedback and guiding care adjustments.
I’ll use focus groups to dive deeper into areas where team dynamics and patient interactions can improve.
This feedback loop will help refine our approach and ensure continuous improvement.
Evaluation will include the collection of feedback from its major stakeholders namely: patients, health team members, and family. Feedback has to be sought in as much detail as possible from the multidisciplinary care team to get an idea about how collaboration and coordination are perceived to work. The family members may provide information about the progress a patient is making and his or her experience with care and thus add another layer of insight into the issues at hand. I would ensure active participation of the patients in providing feedback regarding the treatment and planning of care, their perspective being central in assessing the effectiveness of the intervention. Focus groups with both the patients and the team members will also help me delve into deeper issues concerning team dynamics, patient interaction, and trust. This continuous feedback would let me work on the process of care continuously.
8
Evaluation Challenges and Considerations
I recognize the need to be consistent in data collection methods across all three evaluation strategies.
One challenge I anticipate is managing potential biases in qualitative and observational data.
Patient confidentiality will be a priority as I gather detailed feedback.
Mental health outcomes may take time to show significant improvement, so I’ll need a long-term evaluation plan.
I’ll also stay flexible, adjusting the strategies as patient needs and team dynamics evolve.
In implementing the triangulated evaluation strategy, I do foresee some challenges. First, there is the need to ensure that consistency in the collection of data, as obtained from the quantitative, qualitative, and observational approaches, is maintained to ensure reliable data. I also must be cautious about the bias factor, especially in qualitative interviews and observational data, which may give subjective perspectives to results. Assuring patient confidentiality is another issue I will have to be aware of-after all, detailed feedback requires discreet handling of sensitive information. Additionally, changes in mental health take some time to realize; therefore, I will be having a long-term evaluation plan to capture meaningful improvements. Lastly, I will have to remain flexible enough to adjust the evaluation methods whenever there is a change in either patient needs or even team dynamics over time.
9
Conclusion and Summary
I believe that the triangulated evaluation strategy will provide a thorough assessment of the multidisciplinary care approach.
It will give me insight into both patient outcomes and how well the team is collaborating.
By improving adherence and reducing crises, I expect this approach to have a significant impact.
The combination of quantitative, qualitative, and observational data will ensure that no aspect of care is overlooked.
Overall, I’m confident that this strategy will address the complex issue of non-adherence in mental health care.
The triangulated evaluation approach can give an overall assessment of a multidisciplinary care strategy. By applying quantitative, qualitative, and observational data, I will understand not only the aspect of outcomes but also the effectiveness of team collaboration. In this way, this method will give me an overall notion of the way this intervention will be affecting the improvement of adherence, the reduction of crises, and the impact on patient satisfaction. The latter would help me elicit data from many diverse sources and allow me not to miss some aspect of care. Generally speaking, I am sure that such involvement of the multidisciplinary teams into such a complex issue-that is, in non-adherence in mental health care-will go a long way towards improving the patients' long-term outcomes and also manage their care more effectively.
10
References
Cheron, C., Salvagni, J., & Colomby, R. K. (2022). The qualitative approach interview in administration: A guide for researchers. Revista de Administração Contemporânea, 26, e210011. https://www.scielo.br/j/rac/a/FNdhmJLJjTGLRGZ8qpxKtvf/
Chalkidou, A., Macmillan, T., Grzeda, M. T., Peacock, J., Summers, J., Eddy, S., ... & Van As, N. (2021). Stereotactic ablative body radiotherapy in patients with oligometastatic cancers: a prospective, registry-based, single-arm, observational, evaluation study. The lancet oncology, 22(1), 98-106. https://www.thelancet.com/journals/lanonc/article/PIIS1470-2045(20)30537-4/abstract
Donkoh, S., & Mensah, J. (2023). Application of triangulation in qualitative research. Journal of Applied Biotechnology and Bioengineering, 10(1), 6-9. https://www.academia.edu/download/98007485/JABB_10_00319.pdf
Spinelli, M. A., Haberer, J. E., Chai, P. R., Castillo-Mancilla, J., Anderson, P. L., & Gandhi, M. (2020). Approaches to objectively measure antiretroviral medication adherence and drive adherence interventions. Current Hiv/Aids Reports, 17, 301-314. https://link.springer.com/article/10.1007/s11904-020-00502-5
Toussaint, A., Hüsing, P., Gumz, A., Wingenfeld, K., Härter, M., Schramm, E., & Löwe, B. (2020). Sensitivity to change and minimal clinically important difference of the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7). Journal of affective disorders, 265, 395-401. https://www.sciencedirect.com/science/article/pii/S0165032719313643
