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Quantitative and Qualitative Decision-Making Tools
Healthcare Organization and Management · Chapter 8: Strategic Planning and Decision-Making in HealthcareSection 8.4 · lesson 51 of 10510 min · free with a free account
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In this lesson
Structured tools for choosing among healthcare options without bias.
- Apply a weighted scoring matrix with criteria and weights fixed in advance
- Calculate break-even volume and expected value for healthcare options
- Use nominal group technique, Delphi, and pre-mortems to structure judgment
- Recognize five common decision biases and their counters
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Transcript
Everything said in the video, section by section (1,265 words). Read along, or search it.
Opening Case
Three Paths to North-Side Urgent Care
Larkfield needs more urgent-care capacity on the north side of town. Three options are on the table. Build a new site. Extend the hours of the clinic it already runs. Or partner with Eastside Community Health Center, which already serves the area. Tom Brennan, the finance chief, already likes the new site. So how should a choice like this be made, so that it isn't just Tom's first instinct with paperwork attached?
Structured Decisions
Eight Steps, Criteria Before Options
A structured decision has eight steps. Define the decision: what's being decided, and what isn't. Then set the criteria, before looking at the options. Weight the criteria, since they're never equally important. Generate alternatives. Evaluate each against the weighted criteria. Choose. Implement. And review the process, not just the outcome. Two steps add the most value, and get skipped most: criteria before options, and more than two alternatives. Both get skipped for the same reason: someone already has a favorite.
Decision Types
Programmed Decisions, Risk, and Uncertainty
Decisions also differ in kind. Herbert Simon, in nineteen sixty, separated programmed decisions, recurring ones a rule can settle, from nonprogrammed ones that are novel and need judgment. Push programmed decisions down, or automate them. A manager deciding them personally becomes a bottleneck. The reverse error: forcing a rule onto a truly new situation, just because a rule exists. Then the condition. Under certainty, outcomes are known. Under risk, their probabilities can be estimated. Under uncertainty, they can't, and that's the usual case for strategy. Don't force probability tools onto real uncertainty. Invented probabilities give a number with false precision. Ask instead which option does least harm across the most futures, and which is easiest to reverse.
Weighted Scoring
The Favorite Finishes Last
First tool: weighted scoring. Larkfield's criteria, fixed before scoring, are access for the north side, weight point four; speed, point two; workforce available, point two five; and reversibility, point one five. Each option scores one to five per criterion, times its weight. The new site scores five on access, but one on speed, two on workforce, and one on reversibility. Its total is two point eight five. Extending hours totals three point four five. The Eastside partnership totals three point nine. The new site wins the heaviest criterion, yet finishes last. Workforce decides it. The matrix makes criteria and weights arguable. Its weakness: weights can be nudged until a favorite wins. So fix the weights before anyone sees the scores.
Quick Check
Scoring Two Hospice Programs
Quick check. A hospice weighs two programs. Quality has weight point seven, cost point three. Program X scores four on quality and two on cost. Program Y scores three and five. Which program wins on weighted score? Pause, and decide. Program Y. X gets two point eight plus point six, three point four. Y gets two point one plus one point five, three point six. X is tempting, because it wins the heavier criterion. But Y's big lead on cost more than makes up the difference.
Financial Tools
Break-Even at Four Thousand Visits
Money tools come next. Cost-benefit analysis puts costs and benefits in the same units, usually dollars. Cost-effectiveness compares cost per unit of a health outcome, which suits most health decisions. Break-even finds the volume where a service covers its costs. Say the site's fixed costs are three hundred thousand a year, with fifty per visit in variable costs, and one twenty-five revenue. Each visit contributes seventy-five. Three hundred thousand divided by seventy-five is four thousand visits a year. The useful output isn't the number. It's the question it forces: are four thousand visits plausible? That turns a finance question into a demand question someone can answer.
Decision Trees
Expected Value and the Risk of Loss
A decision tree attaches probabilities and values to uncertain outcomes, and computes an expected value for each option. Extend hours: a sixty percent chance of four hundred thousand, and forty percent of one hundred thousand. Expected value, two hundred eighty thousand. New site: fifty percent of nine hundred thousand, and fifty percent of losing three hundred thousand. Expected value, three hundred thousand. The math ranks the site slightly higher, but can't decide whether to carry the only loss. Payback, the time to earn back the cost, is crude and short-sighted.
Structured Judgment
Nominal Groups and the Delphi Method
When there's no data, structured judgment helps. Structured expert judgment collects opinion in a set way, so the loudest, most senior voice doesn't dominate. The experts must know this situation, not just be senior. The nominal group technique has people write ideas silently and alone, share them in turn without discussion, then discuss, then rank privately. Silent generation matters, because the first idea spoken anchors everything after it. Consensus methods, like the Delphi method developed at the RAND Corporation, gather judgments in rounds, feeding back the group's spread so people can revise. Slow, but often the best evidence available. Groups bring information and buy-in, but cost speed and blur accountability. So say whether a group is generating options, or deciding, with a decision rule.
Decision Biases
Five Biases and Their Counters
Five biases distort decisions, watched for or not. Anchoring and availability were described by Amos Tversky and Daniel Kahneman in nineteen seventy-four. Anchoring: too much weight on the first number heard. Counter it with an independent estimate first. Availability: judging likelihood by how easily an example comes to mind. Check the base rate. Confirmation: seeking evidence for what you already think. Assign someone to build the opposing case. Sunk cost: continuing because of what's been spent. Ask: would we start this today? Overconfidence: too much certainty in your own estimates. State a range, not a point, and record predictions so you can check them later.
Quick Check
One Vivid Fall Skews the Risk List
Quick check. Last month, a patient slipped off an ED stretcher. Now a planning committee ranks falls as the new clinic's top risk, above everything, without checking any data. Which bias is most likely at work: availability, anchoring, or sunk cost? Pause, and decide. Availability. One vivid, recent event is standing in for how often falls actually happen. The counter is the base rate. Anchoring is tempting, since the fall came first. But anchoring is about a number or option heard first. Here the trouble is how easily one memory comes to mind.
Pre-Mortem
Imagining the Decision Already Failed
One tool counters several biases at once: the pre-mortem, described by Gary Klein in two thousand seven. Before committing, the group imagines it's a year later, and the decision has failed badly. Each person writes down why. Framing the failure as already happened gives people permission to voice doubts that would otherwise cost them socially. It surfaces risks a simple request for concerns doesn't.
Decision Record
One Page With a Revisit Trigger
Finally, write it down. A decision record takes a page: what was decided, the criteria and weights, the options considered, including the rejected ones, and the key assumptions. And its most valuable line: what would make us revisit it. Named in advance, that turns a commitment into a conditional position, which can be reversed without anyone admitting error. Without a record, a decision that turns out badly is rebuilt later by people who know the ending, and judged unfairly one way or the other.
Case Resolved
The Partnership Wins on Workforce
Back to Larkfield's north side, and Tom's favorite. The fixed criteria put the Eastside partnership first, mostly on workforce. A pre-mortem on the partnership surfaces one risk nobody had voiced: Eastside's own nurse practitioner vacancies. The record names the trigger: if Eastside can't staff evening shifts by spring, Larkfield revisits extended hours. The new site is recorded as considered, and rejected, with reasons.
Key Takeaways
Criteria First, Record Always
To recap. Set criteria before options, and look for more than two alternatives. Push programmed decisions down, and don't fake probabilities under real uncertainty. Weighted scores, break-even, and expected value rank options. They don't choose which risk to carry. Structured methods and the pre-mortem counter loud voices and bias. And keep a one-page record, with what would make you revisit it.
About Healthcare Organization and Management at UPI Study
Healthcare Organization and Management (Health 302) is a self-paced online course of 105 video lessons in 18 chapters, from health systems and the law to ethics, leadership, teams, strategy, informatics, finance, quality, human resources, marketing and evidence-based practice. It carries a NCCRS credit recommendation for 3 semester credits.
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