fbpx
Membership
Menu
Log-in Membership

Treatment Metrics

A tenet of Perfect Hair Health is to help you make the best-informed treatment decisions. To achieve this, we evaluate all hair loss interventions using three key metrics: Regrowth Potential, Long-Term Viability, and Evidence Quality.

These metrics summarize findings from all high-quality, peer-reviewed studies investigating any hair loss intervention. They account for an intervention’s mechanistic, observational, and clinical support.

The most promising interventions will have high scores across all categories. Below we’ll describe what each metric is, why it’s important, and how each score is calculated.

Photo

Evidence Quality

What is it?

Evidence Quality is a score from 0 – 100. It evaluates both the quality of evidence and totality of evidence supporting a hair loss intervention.

Why Is It Important?

Evidence Quality is the most important metric evaluating a hair loss intervention. It can be used as a predictor for treatment success.

If a score is low, the less likely it is that an intervention’s “study results” will match a consumers’ experience trying it.

Conversely, if a score is high, the more likely it is that an intervention’s “study results” will match a consumer’s experience trying it.

How Is It Calculated?

Evidence Quality accounts for factors including, but not limited to:

  • The types of studies published (i.e., nonclinical, human observational, and/or human interventional)
  • Peer-reviewed journal reputability (i.e., Pubmed indexing)
  • Results replication (i.e., the number of studies published and the total number of participants)
  • Conflicts of interest (i.e., if product manufacturers are/aren’t publishing in-house data)
  • Participant alignment with prospective customers (i.e., participants have the hair loss types as prospective customers)
  • Biological plausibility (i.e., if the targets of an intervention align with known biological targets for hair growth)

To see a full list of metrics along with scoring criteria, click here.

Our Recommendation

Prioritize interventions with Evidence Quality scores > 50.

Regrowth Potential

What is it?

Regrowth Potential is a score from 0 – 4. It represents how much hair regrowth someone can expect when trying a hair loss intervention. Higher scores indicate more regrowth potential.

Why Is It Important?

Consumers often choose interventions that align with their treatment preferences (i.e., natural vs. conventional), but not their regrowth goals (i.e., significant hair regrowth).

The Regrowth Potential metric allows consumers to set realistic expectations for hair regrowth, compare interventions to one another, and escalate their protocols for maximum hair gains.

How Is It Calculated?

Regrowth Potential is calculated as follows:

Regrowth Potential
N/A

This intervention does not yet have any clinical data to estimate its regrowth potential.
0

This intervention has little-to-no potential for hair regrowth.

This score is typically given to interventions that have been clinically studied, but have failed to produce significant hair improvements versus placebo.
1

This intervention has low potential for hair regrowth.

This score is typically given to interventions that have been shown to improve hair parameters at a microscopic level (i.e., in phototrichogram assessments), but not necessarily at a cosmetic level (i.e., in global photograph assessments and/or in long-term tracking of our members).
2

This intervention has moderate potential for hair regrowth.

This score is typically given to interventions that have been shown to improve hair parameters at a microscopic and cosmetic level, but whereby long-term data are lacking, or where results may wane over time.
3

This intervention has high potential for hair regrowth.

This score is typically given to interventions that have been shown to improve hair parameters at a microscopic and cosmetic level, and whereby long-term data suggest sustained results for the average user.
4+

This intervention has very high potential for hair regrowth.

This score is typically given to interventions that have been shown to improve hair parameters at a microscopic and cosmetic level beyond FDA-approved hair loss drugs, and whereby long-term data suggest sustained results for the average user.

Our Recommendation

Prioritize interventions with Regrowth Potential ≥ 2. This confers with cosmetic levels of hair regrowth for the average user.

Long-Term Viability

What is it?

Long-term viability is a score from 0 – 4. It measures how the average person adheres to an intervention over many years of use. The higher the score, the more likelihood for long-term compliance, and the better the hair growth outcomes.

Why Is It Important?

Hair loss treatments only work for as long as you use them. Therefore, treatment choices should fit with someone’s preferences for commitment. Poorer compliance = poorer outcomes.

If an intervention has no long-te rm safety data and is expensive, hard to comply with, or whereby results wane over time – the likelihood of long-term adherence is low.

Conversely, if an intervention has long-term safety data and is inexpensive, easy-to-use, can be done at home, and results sustain over time – the likelihood of long-term adherence is high.

Both scenarios should inform your choice to start or avoid any intervention.

How Is It Calculated?

Long-Term Viability is calculated as follows:

Yes No
Does the treatment cost less than $30/month? +1 +0
Does 2+ year data exist showing sustained regrowth? +1 +0
Can this be done at home, and in less than 1 minute per day? +1 +0
Does 2+ year safety data exist on this intervention? +1 +0

Our Recommendation

Prioritize interventions with Regrowth Potential ≥ 2. This confers with cosmetic levels of hair regrowth for the average user.

Stop guessing which hair loss treatments
actually work

Instead, just read our cheat sheet

You’ll get the facts on nine “natural” and “conventional” hair loss treatments: how they work, how much hair they’ll regrow, their limitations, and what their marketers don’t want you know.