Harvard Case - NQISP-Lite: Measuring Surgical Outcomes in Mozambique
"NQISP-Lite: Measuring Surgical Outcomes in Mozambique" Harvard business case study is written by Kate McKone-Sweet, Leonard A. Schlesinger, John Meara, Sarah L.M. Greenberg. It deals with the challenges in the field of General Management. The case study is 27 page(s) long and it was first published on : Mar 1, 2015
At Fern Fort University, we recommend that NQISP-Lite adopt a phased approach to scaling its operations in Mozambique, focusing on building a robust data infrastructure, strengthening partnerships with key stakeholders, and leveraging technology to enhance its impact. This strategy will ensure the sustainability and scalability of NQISP-Lite, enabling it to effectively measure and improve surgical outcomes in Mozambique.
2. Background
NQISP-Lite is a non-profit organization dedicated to improving surgical outcomes in Mozambique. Founded by Dr. Daniel Matonse, a Mozambican surgeon, NQISP-Lite aims to address the lack of reliable data on surgical outcomes in the country. The organization has developed a simple, low-cost data collection system that can be used in rural hospitals with limited resources. However, NQISP-Lite faces challenges in scaling its operations, including limited funding, a lack of skilled personnel, and the need for greater awareness and buy-in from stakeholders.
3. Analysis of the Case Study
Strategic Framework: We will utilize the SWOT analysis framework to analyze NQISP-Lite's current situation and identify opportunities for growth.
Strengths:
- Mission-driven: NQISP-Lite is driven by a strong social mission to improve surgical outcomes in Mozambique.
- Innovative approach: The organization's low-cost data collection system is a valuable innovation for resource-constrained settings.
- Local expertise: Dr. Matonse's deep understanding of the Mozambican healthcare system is a significant asset.
Weaknesses:
- Limited resources: NQISP-Lite faces financial constraints, limiting its ability to expand.
- Lack of skilled personnel: The organization needs to recruit and train more data analysts and field staff.
- Limited awareness: NQISP-Lite needs to raise awareness among stakeholders, including healthcare providers and policymakers.
Opportunities:
- Growing demand for data: There is a growing need for reliable data on surgical outcomes in developing countries.
- Technological advancements: Emerging technologies like mobile data collection and AI can enhance data collection and analysis.
- Increased donor interest: International organizations are increasingly interested in supporting healthcare initiatives in Africa.
Threats:
- Political instability: Political instability in Mozambique could disrupt NQISP-Lite's operations.
- Competition from other organizations: Other organizations may be working on similar initiatives, creating competition for resources and attention.
- Lack of government support: Limited government support could hinder NQISP-Lite's progress.
Porter's Five Forces Analysis:
- Threat of new entrants: Low, due to the specific nature of NQISP-Lite's work and the need for local expertise.
- Bargaining power of buyers: Low, as hospitals and healthcare providers rely on NQISP-Lite's data.
- Bargaining power of suppliers: Moderate, as NQISP-Lite depends on donors and technology providers.
- Threat of substitutes: Low, as there are few alternatives to NQISP-Lite's data collection system.
- Rivalry among existing competitors: Moderate, as other organizations may be working on similar initiatives.
Key Performance Indicators (KPIs):
- Number of hospitals participating in the program.
- Quantity of data collected.
- Quality and accuracy of data.
- Number of surgical outcomes improved.
- Number of stakeholders engaged.
Balanced Scorecard:
The Balanced Scorecard framework can be used to monitor NQISP-Lite's progress across four perspectives:
- Financial: Secure sustainable funding, optimize resource allocation.
- Customer: Increase stakeholder awareness and engagement, ensure data quality and usability.
- Internal Processes: Improve data collection and analysis processes, enhance staff capacity.
- Learning and Growth: Foster innovation, build partnerships, develop a strong organizational culture.
4. Recommendations
Phase 1: Building a Robust Data Infrastructure
- Develop a comprehensive data management strategy: This should include data collection, storage, analysis, and reporting protocols.
- Invest in technology: Implement mobile data collection tools and leverage AI for data analysis.
- Train staff: Provide training on data collection, analysis, and interpretation.
- Establish data security protocols: Ensure data privacy and confidentiality.
Phase 2: Strengthening Partnerships
- Engage with key stakeholders: Build strong relationships with hospitals, government officials, and international donors.
- Develop a communication strategy: Promote NQISP-Lite's work and its impact on surgical outcomes.
- Seek funding from diverse sources: Explore grants, corporate sponsorships, and philanthropic donations.
Phase 3: Leveraging Technology for Impact
- Develop a user-friendly data visualization platform: This will make data accessible to a wider audience.
- Explore the use of AI for predictive analytics: This can help identify potential surgical complications and improve patient outcomes.
- Create a knowledge-sharing platform: Facilitate the exchange of best practices and learnings among healthcare providers.
5. Basis of Recommendations
These recommendations are grounded in the following principles:
- Core competencies and consistency with mission: NQISP-Lite's core competency lies in its data collection system. The recommendations focus on strengthening this competency and expanding its reach.
- External customers and internal clients: The recommendations prioritize the needs of NQISP-Lite's stakeholders, including hospitals, government officials, and donors.
- Competitors: The recommendations aim to differentiate NQISP-Lite through its innovative approach, data-driven insights, and strong partnerships.
- Attractiveness - quantitative measures: The recommendations are expected to lead to increased data collection, improved surgical outcomes, and greater stakeholder engagement.
6. Conclusion
NQISP-Lite has the potential to significantly improve surgical outcomes in Mozambique. By adopting a phased approach to scaling its operations, focusing on building a robust data infrastructure, strengthening partnerships, and leveraging technology, NQISP-Lite can achieve its mission and contribute to the health and well-being of the Mozambican people.
7. Discussion
Alternatives:
- Focus on a single geographic area: This could allow NQISP-Lite to achieve greater depth in a smaller region.
- Develop a more complex data collection system: This could provide more detailed information but may be more costly and difficult to implement.
Risks:
- Lack of funding: NQISP-Lite may struggle to secure sufficient funding to implement its recommendations.
- Political instability: Political instability in Mozambique could disrupt NQISP-Lite's operations.
- Resistance from stakeholders: Some stakeholders may be resistant to adopting new data collection methods.
Key Assumptions:
- Continued donor support: The recommendations assume that NQISP-Lite will be able to secure ongoing donor support.
- Availability of skilled personnel: The recommendations assume that NQISP-Lite will be able to recruit and train qualified staff.
- Technological advancements: The recommendations assume that technology will continue to evolve and provide new opportunities for data collection and analysis.
8. Next Steps
- Develop a detailed implementation plan: This should include timelines, milestones, and resource allocation.
- Secure funding: NQISP-Lite should actively seek funding from diverse sources.
- Build partnerships: NQISP-Lite should establish strong relationships with key stakeholders.
- Monitor progress: NQISP-Lite should regularly monitor its progress against its KPIs and adjust its strategies as needed.
By taking these steps, NQISP-Lite can become a leading organization in the field of surgical outcomes measurement and contribute to a healthier future for Mozambique.
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Case Description
Because improved surgical care leads to better health outcomes, multiple groups of surgeons have developed metrics and tools for monitoring the availability and quality of surgical care. However, a critical barrier to monitoring quality in surgical care is the need to include a risk-stratification model to account for differences in case mix and patient comorbidities between hospitals. Researchers in developed countries use protocols for risk-stratification in surgical care, but staffing and resource issues have prevented researchers from using these protocols in low-income countries. To improve the quality of surgical care in Mozambique, a partnership was developed between the Universidade Eduardo Mondlane Medical School and the University of California, San Diego School of Medicine, with guidance and support from the Mozambican Ministry of Health. The immediate priority of the research team was to define the epidemiology of surgical conditions and evaluate local capacity to meet that need at three pilot hospitals across the country. This case explores the process of implementing a risk-stratification model for low- income countries and challenges students to critique the model and set direction for future work.
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