Module 2: Measuring Value & Quality

The Concept of Access

Theoretical Frameworks

• Behavioural
• Technological
• Health Systems
• Unified

Behavioural Framework (Andersen & Aday)

Framework:

• A population-centric approach examining why individuals access health services.

Focus:

• Individual and household decision-making regarding accessing healthcare services.

Paradigm:

• Shift from Static resource availability to a Dynamic behaviour (e.g., socioeconomics)

Behavioural: Distinct Operational Stages

Potential Access:

• Structural capacity and enabling resources available to an individual or community.

Realized Access:

• Actual utilization of health services (e.g., undergoing treatment).

Equitable vs. Inequitable Access:

• Determining whether service utilization is driven fairly by health needs (equitable) vs. socioeconomic, demographic, or social biases (inequitable).

Behavioural: Value and Quality

Need as the Core Driver of Value:

• Differentiates between Perceived Need and Evaluated Need.
• Value is realized when these align.

Value and Quality are mediated through:

• Predisposing Characteristics: Demographics, beliefs, and culture.
• Enabling Resources: Family income, out-of-pocket costs, and social networks.

Client Satisfaction as an Outcome:

• Patient satisfaction and perceived quality of care not just endpoints.
• Critical feedback loops that dictate whether individuals will return for future care.

Behavioural: Public vs. Private

Public Sector Lens:

• Mitigate socioeconomic disparities.
• Enabling resources for vulnerable populations (public insurance).

Private Sector Lens:

• Market-driven enabling resources (out-of-pocket payments, private insurance).
• Can improve availability for those with high purchasing power.

System-Level Integration:

• Highlights the tension between private health seeking behaviour and public policy goals.
• Demonstrates that sustainable access requires aligning public with private delivery.

Technological Approach (Frost & Reich)

Framework:

• Translating innovations into widespread impact in low-resource settings.

Focus:

• Inventing and evaluating new technologies (e.g., vaccines, drugs, equipment).

Paradigm:

• An access gap exists between the health technology and its utilization.

Technological Approach: The Four A’s Framework

Architecture:

• Institutional arrangements, governance, policies, and stakeholders.

Availability:

• Products are reliably procured, shipped, stocked, and distributed.

Affordability:

• Remove financial barriers.

Adoption:

• Driving behavioural, cultural, and operational acceptance.

Technological Approach: Navigating Value and Quality

The Efficacy-Effectiveness Gap:

• Technologies proven to work under controlled clinical trial frequently fail in real-world settings due to insufficient infrastructure, trained personnel, and operational environments.

Perceived vs.. Intrinsic Quality:

• Low-income populations frequently encounter sub-standard, degraded, or counterfeit medical goods, which severely damages trust in public health interventions and formal healthcare systems.

Redefining Value:

• True product value must account for operational feasibility (e.g., specialized equipment).

Technological Approach: Public vs. Private

Public Sector:

• Driven primarily by equity goals, and population health mandates, yet hindered by policy bottlenecks, rigid procurement systems, and budget constraints.

Private Sector:

• Operates efficiently with distribution and retail channels, but typically concentrates products in urban markets where consumers possess higher purchasing power.

Hybrid Approach:

• Requires public-private partnerships that leverage efficiency while safeguarding public interest, equity, and affordability.

Health Systems Approach (Penchansky & Thomas)

Framework:

• Access as the structural goodness of fit between health systems and patients.

Focus:

• Multi-dimensional, moving beyond static resources or purely individual behaviours and describes the functional relationship between a health delivery system and its target population.

Paradigm:

• Access is achieved when health service design, delivery structures, and operations align seamlessly with the economic, geographic, and cultural realities of the population.

Health Systems Approach: The Five A’s Framework

Operationalized into five distinct and interdependent dimensions:

Health Systems Approach: Navigating Value and Quality

Structural Quality vs. Client Experience:

• Technical or clinical quality is meaningless if the operational delivery is unacceptable or unaccommodating to the patient.

Value as Operational Efficiency:

• Value is evaluated by how efficiently the five dimensions are managed (e.g., A clinic that has high availability of drugs but terrible accessibility offers limited value).

Consumer Satisfaction as the Ultimate Metric:

• Satisfaction is not as a secondary outcome, rather it is a diagnostic indicator of where the system’s goodness of fit is failing.

Health Systems Approach: Public vs. Private

The Public Sector Lens:

• Optimized for accessibility, affordability, and availability for entire populations, but frequently struggles with accommodation and acceptability due to bureaucratic rigidness, long wait times, and funding constraints.

The Private Sector Lens:

• Excels in accommodation (e.g., shorter wait times) and acceptability (e.g., customer service), but systematically fails on affordability.

Systemic Integration Challenge:

• Highlights why populations often bypass public infrastructure (e.g. fails on accommodation, patients will seek out private alternatives, trading off affordability).

Unified Approach (Chiarot et al., 2025)

Theoretical Availability:

• The mere presence of healthcare resources does not guarantee they translate into population health improvements.

Potential Access:

• The structural and geographic potential for a population to consume healthcare services (e.g., hospital beds, proximity to clinics, workforce).

Realized Access (Utilization):

• Actual consumption of healthcare services and the degree to which individuals successfully navigate the system to receive care (i.e., transaction).

Macroeconomic Conditions (Shocks)

Microeconomic Conditions (Stressors)

Demand-Side Conditions: Geography (Urban vs. Rural Contexts)

System Lens:

• Public mandates must ensure spatial equity so that geographic isolation does not dictate health outcomes.

Industry Lens:

• Private digital health and mobile platforms can bridge accessibility gaps, though affordability remains a hurdle.

Supply-Side Conditions: Health Facilities

Supply-Side Conditions: Workforce

Health Outcomes: General Utilization (Out Patient)

Health Outcomes: Antenatal Care (ANC)

Health Outcomes: Antenatal Care (ANC)

Framework (Donabedian, 1988)

Focus & Objective:

• A framework to evaluate the quality and performance of medical care.

Core Components:

• Structure: The settings, instruments, and human/financial resources available.
• Process: The actual delivery, implementation, and utilization of care
• Outcomes: The resulting recovery, restoration of health, survival, and patient satisfaction.

Key Linkages:

• A linear causal chain: Structure \(\rightarrow\) Process \(\rightarrow\) Outcome

Key Performance Indicators (KPIs)

Translating Volume into Evidence

• Use standardized metrics that quantify operational and clinical performance.

Core Utilization Indicators

• Crude vs. Standardized Rates: Adjust for age, sex, and risk (fair comparisons).
• Admission & Readmission Rates: Tracking inpatient flows to identify bottlenecks.
• Length of Stay (LOS): Measuring resource consumption efficiency per inpatient episode.

Strategic Utility for Leaders

• Transforming data into actionable dashboards to monitor capacity, equity, and value.

The Mathematics of Crude & Standardization

• Crude Utilization Rate:

\[\text{Crude Rate} = \left(\frac{\text{Total Events}}{\text{Total Population}}\right) \times \text{Multiplier}\]

• Direct Standardized Rate:

\[\text{Direct Standardized Rate} = \frac{\sum \left( \text{Stratum Rate} \times \text{Standard Population in Stratum} \right)}{\text{Total Standard Population}} \times \text{Multiplier}\]

• Why it matters: Direct standardization removes the confounding effect of different population age or risk structures, making cross-regional comparisons valid.

The Canadian Context

The Donabedian Lens in Action:

• Acts as a powerful lens for organizing Canadian utilization themes.
• Separates what we have (capacity/resources) from what we do (access/flow) and what we get (health results).

Operationalizing Canadian Health Data:

• Mapping national priorities to these categories, leadership can diagnose systemic friction.
• We utilize standardized metrics from the Canadian Institute for Health Information.

The Canadian Utilization Matrix

Equity & Disaggregation

The Fallacy of Aggregate Averages:

• System-level averages conceal systemic inequities.
• True value cannot be achieved if utilization is driven exclusively by high-income.

Equity-Sensitive Measurement Strategies:

• Stratification by Socioeconomic Quintile: Use household income brackets.
• Geographic Disaggregation: Comparing rural vs. urban access barriers.
• Intersectionality in Care: Examining how overlapping demographic factors.

Strategic Implication:

• Leaders must use disaggregated data to direct resources where the gap is widest.

Strategic Action

From Dashboards to Decisions:

• Utilization data are not merely technical reporting artifacts; they are strategic instruments for high-performance health leadership.

The Executive Application:

• Identifying Bottlenecks: Pinpoint where capacity restrictions constrain patient flow.
• Targeted Resource Reallocation: Direct investments toward unmet need or barriers..
• Performance Accountability: Use metrics for accountability.

Core Leadership Mandate:

• Translating complex utilization patterns into a single, compelling bottom line that aligns public sector equity mandates with operational efficiency.

Public vs. Private

Defining the Frontier (Porter’s Value Framework)

Theoretical Foundation:

• Grounded in Michael Porter’s value framework (\(Value = \frac{Outcomes}{Costs}\))
• True value is measured around outcomes relative to the total costs expended.

Technical vs. Allocative Efficiency:

• Technical Efficiency: Producing the maximum possible clinical outcome.
• Allocative Efficiency: Distributing health resources to maximize societal welfare.

The Frontier Concept:

• Maximum possible health outcomes achievable for any given level of expenditure.
• Points inside the frontier signal operational waste or sub-optimal utilization.

Effectiveness vs. Efficiency Trade-offs

Bridging Donabedian to the Frontier:

• Structure & Process (Efficiency): Minimize waste and control costs.
• Outcomes (Effectiveness): Maximize clinical recovery and patient health gains.

The Core Trade-off:

• Pushing toward the frontier requires balancing cost against clinical quality.
• Systems that focus solely on cutting process costs often degrade outcomes.

Navigating the Tension:

• Health leadership requires optimizing the trade-off
• Enhanced clinical effectiveness does not lead to fiscal unsustainability.

The Cost-Quality-Value Nexus

Synthesizing the Equation:

• Effectiveness: Maximize the numerator.
• Efficiency: Optimizing the denominator.

The Danger of Sub-Optimal Shifts:

• Cost-Cutting without Quality: Lowering expenditures destroys true value.
• Adding Cost without Outcomes: Increasing resource inputs results in operational waste.

Executive Mandate:

• High-performance leaders do not just cut budgets.
• Restructure delivery models to expand outcomes relative to costs.

Visualizing the Effectiveness-Efficiency Frontier

Public vs. Private Lens on the Frontier

Public Sector Lens (System Mandate):

• Objective: Operates under macro-level equity and population-wide coverage goals.
• Focus: Shifting entire regional populations closer to the frontier.
• Challenge: Bureaucratic inertia and rigid structures can push public systems inward.

Private Sector Lens (Industry Mandate):

• Objective: Operates on market-clearing efficiencies, innovation, and margin optimization.
• Focus: Technical efficiency, reducing unit costs, and maximizing throughput.
• Challenge: Can restrict access for vulnerable groups, prioritizing return over equity.

Strategic Leadership on the Frontier

The Executive Mandate:

• Cannot manage health systems effectively by looking at cost containment and clinical quality in isolation.

Key Leadership Actions:

• Eliminate Operational Waste: Identify and correct processes inside the frontier.
• Redesign Care Pathways: Shift delivery from high-cost to lower-cost settings.
• Balance Dual Priorities: Ensure that efficiency gains do not compromise equity.

Conclusion:

• Mastering the effectiveness-efficiency frontier is essential for modern healthcare.

Module 2 Summary: Measuring Value & Quality

• Access vs. Realized Access: Explored Andersen’s behavioral, Frost’s technological, and Penchansky’s health systems frameworks, distinguishing potential access from realized utilization.
• Economic Drivers & Utilization: Examined macroeconomic shocks and microeconomic stressors, highlighting geographic barriers, population aging, and workforce dynamics.
• Evaluating & Measuring Utilization: Operationalized Donabedian’s triad alongside crude and direct standardized rates.
• The Effectiveness-Efficiency Frontier: Evaluated Porter’s value equation through technical and allocative efficiency, balancing cost containment with clinical outcomes.

Week 3 Deliverable: Case Analysis (Weight: 30%)

Assignment Overview:

• Core Task: Comparative critique of two organizations through the lens of Value & Quality.

Strategic Pillars (Choose One):

1. Effectiveness vs. Efficiency: How do the entities balance clinical outcomes with resource optimization?
2. Centralized vs. Decentralized Governance: How does organizational structure impact high-quality care?
3. Public vs. Private Sector Interface: How do different funding or delivery mandates influence value for the end-user?

Full requirements: Refer to the course outline.