Case Studies:
Moral Distress and Ethical Decision making climate in ICU units
Problem:
Our client reached out to us because they wanted to assess the moral distress between Nurses and Doctors and, between different ICU units.
Methodology:
We researched validated questionnaires for moral distress and decided to use the Ethical Decision-Making Climate Questionnaire (EDMCQ) and the Measure of Moral Distress for Healthcare Professionals (MMD-HP) surveys along with intent to leave. An ethically based climate for decision-making promotes mutual respect and interprofessional collaboration. Therefore, the surveys could help us understand the ethical climate within the ICU units and between nurses and doctors.
Results:
We found that nurses perceived the ethical climate for decision-making as less favorable compared to physicians (p < 0.05). They also had significantly higher levels of moral distress and higher intention to leave their jobs. Similarly, we found that the Neonatal/Pediatric unit had a significantly higher overall ethical climate score than the Medical and Surgical units (3.54 ± 0.66 vs. 3.43 ± 0.81 vs. 3.30 ± 0.69; respectively; both p ≤ 0.05) and, also demonstrated lower moral distress scores (both p < 0.05) and lower “intention to leave” scores.
Conclusion:
Our analysis showed that significant differences exist in the perception of the ethical climate, levels of moral distress, and intention to leave between nurses and physicians and between the different ICU types. This allowed our client to eventually publish the research in a scientific journal.
Improving NOI in Sales
Problem:
Our client had in-store sales data across several years but didn’t know how to leverage the data to inform business decisions. We were therefore hired to consult and analyze the data to come up with metrics that can inform growth strategies.
Methodology:
Our strategy was as follows:
- Create a sales profile QoQ for the past 5 years to examine NOI over time.
- Create metrics for each stage of the sales funnel that track over time to identify bottle necks within the sales workflow
- Examine daily sales to identify peak sale seasons and then utilize that to inform Sales Representative presence within stores.
- Identify high performers and use them to train low performers in sales.
- Use the power of AI to create a forecasting model to optimize KPIs, increase lead generation and find optimal store locations to inform growth strategies.
Market Research Pharma
Problem:
Our client reached out to us because they wanted a survey created to assess awareness of a disease, treatment options and usage of a new drug that they were marketing. The drug was meant to be launched globally.
Methodology:
We created a customized survey as a solution which had elements of an ATU, HEOR and Diversity survey. This customized solution was combined with a market research plan that allowed the client to launch the survey ahead of their drug and monitor their patients throughout the trial. RAD collaborated with the client to design, create and administer the survey. We analyzed the data for Quantitatively and Qualitatively for baseline clinical and awareness metrics, demographics, psychographics, market segmentation and patient personas.
Results:
The data was provided to the client via an interactive dashboard with the ability to download monthly reports.
Writing scientific paper
Problem:
Our client had data collected from focus group interviews and a patient satisfaction survey to assess the impact of the Covid-19 Pandemic on continued care. They needed someone to analyze the data and write a paper for publication in the Journal of Infection and Public Health.
Methodology:
We used text mining and LLM as Qualitative analysis tools to analyze open-ended responses and focus group interviews. We created themes and subthemes which helped us understand the impact of Covid-19 on continued care. The survey data was analyzed Quantitatively.
We compiled the results into a Journal article with Abstract, Introduction, Materials and Methods, Results, Discussion and Conclusion. The research was eventually published in the Journal of Infection and Public Health.