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Nolavia Efficiency and Equity - Coggle Diagram
Nolavia Efficiency and Equity
Hospital analysis
DEA - data envelopment analysis?
Decision making units. - The decision Making Unit (DMU) is a collection or team of individuals who participate in a buyer decision process.
Malmquist indices?
distance functions?
Scope of services
Which hospitals have the most services
What does number of inpatient days suggest? is more data necessary?
chat gpt suggestions
Inpatient days per bed - bed usage and efficiency.
Number of staff per bed (staffing efficiency) - overstaffing vs understaffing.
Number of services offered per bed - service utilization.
Inpatient days per staff member (staff efficiency)
Patient turnaround time - discharges and LOS.
could we use inpatient days divided by beds.
Occupancy Rate? NB could be good lead
(Inpatient Days of Care / Bed Days Available) x 100.
There is no time frame when the data for hospitals was collected?
Measure against other inpatient hospitals
Total Quality Management (Ratio of births to admissions/Maternal and child health cases)
Bed utilisation rate (BUR) measures the occupancy of available beds and therefore indicates how efficiently a hospital is using its available capacity. It is calculated as follows: number of inpatient days added to half the number of day patients, and divided by usable bed days.
Ideally a model should ne built involving all the variables available to determine how the healtcare system will benefit from varying inputs
Total inputs vs total outputs?
Technical efficiency should be calculated given more data and then be compared to current inefficiency units
actual output divided by maximum output x100
Population of area vs beds vs staff.
Extra information needed
Discharges - to give more context to inpatient days. Help determine average LOS?
Which services were used the most?
Inputs
Outputs of hospitals -
Admissions and discharges.
Better understanding of hospitals. some have inpatient care and some dont. is it fair to compare these 2?
Timeframe for data collected.
Readmission rates could help with inpatient days, related to discharges. Early discharges or late discharges are costly (find article that says this)
Number of treated patients
Death rate
Things to mention
Equity - mention equity of services in different provinces
Technical efficiency and allocative efficiency
Public private mix
Burden of disease in different areas
Economies of scope and scale.
Continuous monitoring in the future!
better data collection.
Objectives of study?
Efficiency of current hospitals
Where can funds be allocated to get the best welfare for patients and improve outcomes
Equity of different regions
recommendations on how to improve the economic performance of the country and its health service
What extra data is needed to get a better understanding of the current situation.
Recommendations
Private public mix? 85% of services are gov. What about other 15%?
Economies of scale and scope through outsourcing?
Retaining healthcare workers
Better equity of services - higher burden of disease in southern and central region due to malaria problems.
Thoughts on current data
Inpatient days is a poor measure by its self. If patients were not discharged timely it is a poor measure. Palliation? Severity of cases treated there (relate to services provided). No timelime provided? unable to work out occupancy rate or bed utilisation rate.
Health Indicators
Maternal health - no more than 70/100,000 according to WHO (use reference). By 2030.
How to gte from current level to 70/100000? what is the maths and what is the minimum in the next year
Deaths related to malaria.
Perinatal deaths
Qualitative data should also be considered - patient satisfaction?
Healthcare Utilization Rates: The utilization of healthcare services, including outpatient visits, hospital admissions, and utilization of maternal and child health services. Monitoring utilization rates helps assess healthcare access and demand for services.
Consider external factors that are affecting the health of teh different populations and relate to equity and provision of resources
Access to transportation, impact of malaria, education levels, poverty levels (related to access to services).
Compare to other LMIC countries GDP spending per capiat and HC spenidng.
Income per person in Novalia vs paying for services provided in Novalia. Funding structure and need for reform? maybe more info?
Use existig policy to wrok towards. WHO and SDGs.