In hospital value analysis, teams are often expected to respond quickly to emerging issues, but the connection between what is happening and why it is happening is not always immediately visible. Challenges like escalating costs, product concerns, recalls, or supply chain disruptions tend to surface as clear outcomes, yet the factors driving those outcomes can be complex and difficult to pinpoint.
This disconnect makes problem-solving far more difficult. If value analysis efforts focus only on what is observable rather than what is causing it, solutions may miss the mark entirely. To drive meaningful and lasting improvements, it is critical to distinguish between symptoms and root causes and to understand how one leads to the other.
The Overlooked Link Between Cause and Effect
In many value analysis studies, especially with new product requests (NPRs), the focus quickly shifts to evaluating a proposed solution. However, the requested product is often a response to a perceived problem – not necessarily the actual cause.
Value analysis professionals must pause and ask:
- What is happening today (the effect)?
- What is driving that outcome (the cause)?
- Are there gaps in function, process, or utilization?
Without clearly connecting cause and effect, teams risk solving the wrong problem. As Robert T. Yokl often challenged, “Do they even need that new product at all?”
That question forces a deeper examination of whether the proposed solution aligns with the true cause.
When Assumptions Replace Cause-and-Effect Thinking
Too often, clinical teams identify a negative outcome — such as inefficiency, clinician frustration, or patient risk — and immediately assume a product is the cause. From there, the solution becomes simple: purchase something new.
But this skips a critical step. The relationship between cause and effect is rarely that straightforward. A product issue may be only one possible cause among many, including:
- Workflow inconsistencies
- Training gaps
- Variation in clinical practice
- Improper product utilization
When teams act on assumptions instead of validated cause-and-effect relationships, they introduce risk, cost, and uncertainty into the process.
The Risk of Treating Effects Instead of Causes
Consider a health system working to reduce CLABSI rates. The increase in infections is the effect, but without identifying the underlying causes, solutions become guesswork.
In one example, a team repeatedly introduced new PICC line products in response to rising infection rates. Multiple products were implemented at once, without structured evaluations or comparisons to control units.
The result?
- No clear understanding of which change (if any) made an impact
- Increased costs
- Continued uncertainty around the true drivers of infection
By focusing on the effect (infections) rather than isolating the cause (e.g., technique variation, protocol adherence, or product gaps), the team made it nearly impossible to measure success or replicate results.
Mapping Cause and Effect with Functional Analysis
A practical way to better understand cause-and-effect relationships is to take a step back and systematically break down the process. Rather than jumping to conclusions, value analysis teams can create a structured framework — such as a functional matrix — to evaluate how each component, step, or product contributes to the overall outcome. For example, mapping the entire PICC line lifecycle — from insertion to maintenance and dressing changes — allows teams to:
- Identify every step in the process
- Understand the role each product plays
- Detect breakdowns in technique or compliance
- Pinpoint where variation leads to negative outcomes
This approach connects actions (causes) to outcomes (effects) in a structured, visual way. Often, it reveals that small process inconsistencies — not product deficiencies — are driving major issues.
Shifting from Reaction to Understanding
Value analysis should not be reactive. It should be investigative. Instead of asking, “What product will fix this problem?” the better question is, “What is causing this outcome, and what intervention (product, process, or practice) will directly address it?”
When teams focus on cause-and-effect relationships, solutions become more targeted, outcomes become measurable, and resources are used more effectively.
Eliminating Guesswork Through Cause-and-Effect Clarity
There are many ways to uncover the causes behind clinical and operational challenges, but the goal is always the same: clearly define the relationship between cause and effect before taking action.
When value analysis professionals ground their work in this principle, they move from guesswork to precision. They avoid unnecessary spending, reduce variability, and implement solutions that are directly tied to real, validated issues.
In the end, understanding cause and effect is what transforms value analysis from a reactive function into a strategic driver of both cost and quality outcomes.
| About Robert W. Yokl, President of SVAH Solutions |
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| Robert is the President of SVAH Solutions which provides value analysis, clinical supply utilization, and savings validation tools to help healthcare organizations gain the next level of savings beyond price and standardization. https://www.SVAH-Solutions.com https://www.SavingsValidation.com |
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