Most de novo failures are not clinical failures — they are market selection failures. A strong operator dropped into the wrong ZIP code will spend 18 months fighting for referrals that don't exist, chasing payers who reimburse at 60 cents on the dollar, and watching a competitor two miles away capture everything they can't. Site selection is a decision that compounds: the right market gives you tailwinds for years; the wrong one requires constant corrective effort at a fraction of the upside. This whitepaper walks through the variables that actually determine de novo performance — including several that most operators overlook entirely.
Pull county-level health data from CMS, CDC BRFSS, or state health department dashboards. For physical therapy, relevant incidence markers include musculoskeletal injury rates, post-surgical discharge volumes, and orthopedic procedure counts from local ASCs and hospital systems.
For behavioral health, look at Medicaid enrollment density, SAMHSA state-level prevalence maps, and school district IEP rates for ABA operators targeting pediatric populations.
Rule of thumb: If your target condition has an incidence rate below the national average in your target MSA, your volume assumptions need to account for patient importation — and that requires verified referral relationships, not wishful thinking.
Commercial insurance penetration is the single most important demand-side variable for most outpatient healthcare businesses. A market's commercial rate determines not just reimbursement levels but also collections reliability, authorization burden, and fee-schedule leverage.
Pull employer density data from Bureau of Labor Statistics QCEW at the county level. Identify whether the area is dominated by large self-insured employers (typically better rates and higher plan design quality) versus small-group or individual market plans.
High-value indicators: Fortune 500 regional campuses, large hospital systems with robust employee plans, defense contractors, state government employment clusters.
Use the CMS National Plan & Provider Enumeration System (NPPES) NPI registry filtered by specialty and ZIP code to enumerate orthopedic surgeons, sports medicine physicians, neurologists, pediatricians, and primary care physicians within your target radius. This is free and publicly accessible.
Layer in Definitive Healthcare or Sg2 data if your budget allows — these platforms show actual referral flow patterns between providers, letting you identify which physicians currently send patients elsewhere and how captive those relationships are.
Physician-to-PT ratio: Compare the number of downstream providers (PT clinics) against upstream referrers (orthopedic, sports medicine, neurology). A market with 4 orthopedic groups and only 2 PT providers is fundamentally different from one with 4 orthopedic groups and 12 PT clinics.
Hospital affiliation patterns: Are the referring physicians employed by a health system that operates its own outpatient PT? Employed physicians often face informal or explicit pressure to refer within the system. In markets with dominant health system consolidation, independent de novos may find referring physicians functionally off-limits regardless of care quality.
Open vs. captive referrers: Independent private practice physicians are far more accessible than health-system-employed physicians. Quantify the ratio before projecting volume.
The single most common reason well-capitalized de novos fail to hit volume targets is health system physician employment. When a regional health system employs 60–80% of specialist physicians in a market and operates its own outpatient rehabilitation network, independent operators face structural referral barriers that cannot be overcome through relationship-building alone.
Before selecting a market, run a physician employment analysis. The American Hospital Directory and state hospital association databases list employed physician counts by system. Cross-reference against your target specialty mix.
High independent physician density: Markets dominated by independent or small-group medical practices (not employed by a health system) offer far more accessible referral pipelines.
Fragmented hospital landscape: Markets without a single dominant health system — or where two competing systems create natural neutrality — often produce more accessible referral dynamics.
Surgeon-owned ASC clusters: Independent ASCs are almost always operated by surgeons who are not hospital-employed and who actively manage their post-surgical rehabilitation referrals. Proximity to an independent ASC cluster is a strong positive signal for de novo site selection.
Use the NPPES NPI registry filtered by taxonomy code (e.g., 225100000X for PT) to count licensed providers in your target geography. This catches clinics that don't appear in Google searches or consumer directories because they're attached to physician offices, employer wellness programs, or hospital campuses.
Also pull Medicare claims data (available via CMS's Provider Utilization & Payment Public Use Files) to see which PT providers in the ZIP code are actually generating significant volume. A clinic that's licensed but generates minimal Medicare claims is likely operating part-time or near failure — it's not real competition.
Provider-to-population ratio: Calculate the number of PT FTEs per 10,000 residents in your target geography. National average is approximately 8–10 PT FTEs per 10,000 people in established markets. A ratio above 14–16 in your target ZIP suggests meaningful saturation.
Wait time proxy: Call existing clinics in the market as a prospective patient. Average new patient wait times under 3–5 days suggest slack capacity and a supply-side surplus. Wait times of 2–3 weeks or more indicate genuine demand-supply imbalance — a favorable environment for a new entrant.
Quality signal: Google review counts and average ratings are imperfect but useful. Markets with competitors averaging 3.8 stars on thin review counts signal patient satisfaction gaps that a quality operator can exploit.
Medicare reimburses PT services based on the Physician Fee Schedule (PFS), which applies a Geographic Practice Cost Index (GPCI) adjustment by locality. Urban markets in high-cost states (California, New York, Massachusetts) can yield 15–25% higher Medicare reimbursement on the same CPT codes compared to rural markets in low-GPCI states.
Look up your target market's Medicare locality code at cms.gov and calculate expected reimbursement on your highest-volume CPT codes (typically 97110, 97530, 97035, 97140) before committing to a market. A difference of $8–12 per unit compounds significantly across annual visit volume.
FAIR Health data (available via fairhealthconsumer.org and by subscription for providers) shows commercial insurance pricing benchmarks by ZIP code and CPT code. This is the most reliable public proxy for commercial rate expectations in a given market before you've negotiated contracts.
Medicaid penetration risk: In markets with Medicaid managed care penetration above 25–30% of the insured population, expect meaningful revenue pressure. Medicaid rates for outpatient PT typically range from 50–75% of Medicare, and authorization burdens are disproportionately high. High Medicaid concentration also tends to correlate with higher no-show and cancellation rates, which compounds revenue loss per available appointment slot.
Workers' comp density: Industrial, logistics, and manufacturing-heavy markets often carry elevated workers' comp volume — which typically reimburses at or above commercial rates and generates longer episode lengths. This is an often-overlooked positive signal for certain markets.
A de novo clinic that opens in a market where licensed PTs are scarce will face a fundamental execution ceiling — you cannot grow volume you cannot staff. Before selecting a site, assess therapist supply through BLS Occupational Employment and Wage Statistics (OEWS) data at the MSA level.
Proximity to DPT or related graduate programs is a meaningful positive indicator. New graduates often stay within 30–50 miles of their clinical rotation sites, meaning markets adjacent to physical therapy, OT, or ABA graduate programs carry a natural staffing pipeline advantage.
Check Indeed and LinkedIn: Run a live job search for your target title in the market. If 8+ competitors are actively posting for the same role, you are entering a hot labor market where wage pressure is elevated and recruitment timelines will extend — plan accordingly in your staffing model.
Therapist compensation varies significantly by market. BLS OEWS data shows median PT wages ranging from $72,000 in certain rural markets to $105,000+ in high-cost metros. This differential substantially affects your per-visit economics and EBITDA margin at maturity.
More importantly, labor costs must be modeled against revenue per visit, not in isolation. A market where PTs earn $95,000 but commercial reimbursement averages $145/visit may be more profitable than a market where PTs earn $78,000 but reimbursement averages $95/visit.
Non-compete landscape: If you plan to hire laterally from existing clinics, verify the enforceability of non-compete agreements in the target state. Several states (California, Minnesota, Oklahoma, North Dakota) functionally prohibit them, while others enforce them strictly. This affects both your ability to recruit experienced clinicians and your exposure to losing staff you train to competitors.
Patients don't choose a clinic by straight-line distance. They choose based on the route between work and home. Use Google Maps or StreetLight Data to analyze commuter corridors — a clinic positioned on the home-from-work side of a major employer cluster will capture a meaningfully different patient profile than one requiring a U-turn into traffic. Seek sites along natural traffic flow, not just in high-visibility corridors.
As noted — some payer panels in mature markets are closed to new providers. This is not disclosed publicly. Call commercial payers' provider enrollment departments for your target ZIP before committing. A closed United or BCBS panel can delay your first commercial claim by 6–18 months and substantially alter your revenue ramp timeline.
Check local government planning commission agendas and approved subdivision permits. A market that looks undersupplied today may have 2–3 competitor leases already signed in new commercial developments under construction. Conversely, approved master-planned communities can signal 3–5 year population growth that will create real demand ahead of the market.
For ABA and pediatric behavioral health operators, school district size, IEP prevalence rates, and state EPSDT program strength are as important as population demographics. Obtain IEP counts from the state Department of Education's Special Education child count data. A district with 8–10% IEP prevalence is materially different from one at 14–16%.
Operational efficiency is geography-dependent. States with direct access PT laws eliminate the physician referral requirement, improving patient access and reducing cycle time from inquiry to first visit. States that require physician referrals for PT impose a structural drag on acquisition cost and ramp speed. Similarly, PTA and COTA supervision ratios vary by state and directly affect your staffing leverage and cost per visit.
In states with Medicaid managed care, rates are set at the MCO level — not the state level — and vary dramatically between plans. Before entering a Medicaid-heavy market, identify which MCOs cover the largest Medicaid populations in your target geography and call their provider contracting departments to understand rate levels and whether they're accepting new providers. Assuming you'll get "Medicaid rates" without knowing the specific MCO rate schedule is a common and costly error.
PA burden is payer-specific and affects your clinical team's time allocation. Markets dominated by payers with high PA denial rates and lengthy appeals processes consume therapist and administrative hours that don't appear on a standard pro forma. Request authorization denial rate data from existing operators in the market or benchmark against MGMA data by payer type before committing to a market.
If you intend to eventually sell or recapitalize the practice, consider whether the market you're entering is attractive to institutional buyers. PE-backed consolidators have specific geographic preferences — urban and suburban markets in high-growth states with strong commercial payer mixes command higher multiples. A de novo built in a market that PE buyers actively target creates an exit optionality premium that a rural or Medicaid-heavy market will not.
Approximately 35 states maintain Certificate of Need laws, and some extend CON requirements to outpatient rehabilitation facilities or behavioral health programs. In a CON state, opening a new clinical location without regulatory approval can result in fines, forced closure, or denial of licensure — regardless of how well the market analysis checks out. Verify CON applicability for your specific service type and state before site selection, not after. The approval process in active CON states can take 12–24 months and is not guaranteed.
Medical and clinical use is not permitted in all commercial zoning classifications. A prospective space zoned for general retail or office use may require a conditional use permit, variance, or rezoning for healthcare occupancy — a process that can take months and is subject to local planning board discretion. Confirm with the municipality's planning department that medical/clinical use is a permitted or conditionally permitted use in the specific parcel's zoning designation before signing any letter of intent. Also verify ADA accessibility compliance requirements, which apply to all healthcare facilities and may require modifications to existing spaces.
Market TI allowances for medical/healthcare tenants typically range from $50–$100 per square foot in standard suburban retail or professional office, and up to $125–$150/SF in new construction Class A medical office buildings where the landlord is motivated to attract anchor healthcare tenants.
The strongest TI leverage comes from: longer initial lease terms (10-year leases command dramatically more TI than 5-year), creditworthy guarantors (an established operating entity or PE-backed platform extracts more than a solo startup), and signing in a new or recently delivered building where the landlord's carrying costs create urgency.
Always request TI as a dollar-per-square-foot figure written into the lease, not as a vague "landlord will complete buildout" promise. Unclear TI language leads to disputes over scope, specification quality, and timeline that delay opening.
Free rent periods: Request 3–6 months of free base rent during the construction and initial ramp period. This is standard practice in strong healthcare leasing markets and most landlords will agree to 3+ months for a creditworthy tenant on a 7–10 year term. Free rent should cover at minimum your full buildout timeline.
Reduced or abated rent during ramp: Some landlords in softer markets will structure percentage rent during the first 12–18 months — you pay a percentage of gross receipts rather than full base rent until a revenue threshold is reached. This is uncommon but worth requesting in any market where the landlord has had difficulty leasing the space.
Below-market base rent for initial term: Establish a stepped rent schedule — lower base rent in years 1–3, escalating to market rate in years 4+. This directly aligns your rent obligation with your ramp timeline.
Renewal options at fixed or capped rates: Lock in future renewal options with predetermined caps (e.g., CPI + 2%, not to exceed 3% annually). Healthcare businesses build referral relationships and patient loyalty to a physical location — moving costs are asymmetrically high, which landlords know and exploit at renewal.
Physical therapy clinics typically operate efficiently in 2,500–4,500 SF, depending on gym size, number of treatment rooms, and private versus semi-private treatment model. Behavioral health clinics vary more widely — ABA clinics may require 3,000–6,000 SF for center-based programming with dedicated therapy rooms and observation space.
Avoid oversizing your initial space. A lease for 5,500 SF when your model needs 3,200 SF adds fixed rent cost before revenue offsets it. Many landlords will negotiate expansion rights — a clause that gives you first right of refusal on adjacent space — allowing you to grow into a larger footprint without relocating or re-leasing.
Evaluate column spacing, ceiling height, and floor load capacity in any prospective space. PT gyms need open spans, 10-foot+ ceilings for overhead equipment, and reinforced flooring for free weights and equipment anchoring. These are non-negotiable clinical requirements that standard office space often cannot accommodate without expensive structural modification.
Who your neighbors are matters. A suite adjacent to an orthopedic surgery group, sports medicine practice, or primary care cluster is not incidental — it creates passive referral proximity that reduces your relationship-building timeline. Walk the building before signing and know every tenant and their specialty.
Medical office buildings (MOBs) vs. retail strip centers: MOBs attract physician tenants by design, which creates natural referral adjacency. Retail strip centers offer lower base rents and high visibility but generally lower physician co-tenancy. The right choice depends on whether your volume model is referral-driven (prioritize MOB) or direct-access and consumer-driven (retail visibility may matter more).
Anchor tenants and traffic generators: In retail-adjacent sites, note nearby anchors — a large urgent care, an orthopedic practice, a hospital outpatient campus, or even a high-traffic gym can generate both patient awareness and natural healthcare consumer clustering that benefits a PT or behavioral health practice.
Drive every medical corridor within 5 miles of your target site. Note every physician office, urgent care, ASC, imaging center, and hospital outpatient department. Count the practices, observe their signage (new vs. established), note their parking lots (busy vs. empty), and photograph anything noteworthy. This takes 2–3 hours and produces intelligence you cannot buy.
Walk into medical offices as a prospective patient or referral partner. Ask the front desk which physical therapy or behavioral health practices they currently refer to. Ask if they're happy with those relationships. Ask how they'd feel about a new option opening nearby. Front desk staff are often candid and are the gatekeepers of referral decisions — they frequently have more practical influence than the physicians themselves.
Visit the existing PT or behavioral health competitors in the area. Call them as a new patient. Evaluate their hold times, their scheduling availability, their communication quality. A competitor with a 3-week new patient wait and a 3.7-star Google rating is a referral source waiting to be captured — not a threat.
Referral relationship openness: For each physician office you identify, note whether they appear to be independent or health-system-employed (typically visible from their signage, letterhead, or parking lot branding). Independently owned practices are your primary targets for relationship development.
Specialty gaps: Identify which adjacent specialties are missing from the market. A market with orthopedic surgery but no dedicated hand therapy, sports rehabilitation, or vestibular rehab creates specialty niches that reduce direct competition and attract a different referral stream than general PT.
Population clusters near the site: Note gyms, fitness studios, athletic clubs, schools, and senior living facilities within 1–2 miles. These are secondary referral and direct-access patient sources that don't appear in physician referral analyses. A large CrossFit gym, a youth sports complex, or a continuing care retirement community each represents a distinct patient pipeline that can supplement physician-driven volume.
| Variable | Weight | Data Source | 1 (Poor) | 5 (Strong) |
|---|---|---|---|---|
| Referral physician density (upstream supply) | High · 20% | NPPES NPI Registry, Definitive Healthcare | <5 orthopedic/sports med within 5mi | 15+ independent referrers within 5mi |
| Payer mix quality (commercial %, Medicare GPCI) | High · 15% | CMS PFS GPCI tables, FAIR Health, BLS | >40% Medicaid, low GPCI | >55% commercial, high GPCI locality |
| Health system physician employment (captive referral risk) | High · 15% | AHA Guide, state hospital association, field research | >70% specialists employed by single system | <30% employed; fragmented landscape |
| Surrounding referral accessibility (field canvass) | High · 15% | In-person canvass, front desk interviews, practice mapping | System-employed physicians; clinics report locked referral relationships | Independent practices; front desks report open referral preferences |
| Competitive saturation (PT-to-population ratio) | Mid · 10% | NPPES taxonomy filter, CMS utilization data | >16 PT FTEs per 10,000 residents | <8 PT FTEs per 10,000 residents |
| Therapist labor supply & wage environment | Mid · 10% | BLS OEWS, university DPT program proximity | Tight supply, high wages, active job wars | Ample supply, DPT program nearby, stable wages |
| Real estate quality & landlord TI available | Mid · 5% | LOI process, broker comps, CoStar, field research | Low TI, no concessions, poor co-tenancy or parking | $80–125/SF TI, free rent, physician co-tenants, ample parking |
| Direct access state law (PT scope of practice) | Mid · 5% | APTA state practice act database | Physician referral required for all PT | Full unrestricted direct access |
| Payer panel openness (in-network accessibility) | Low · 3% | Direct payer provider relations calls | Dominant payer panels closed in ZIP | All major payer panels accepting new providers |
| Market growth trajectory (population, employment) | Low · 2% | Census ACS, BLS QCEW, planning commission data | Flat or declining market indicators | High-growth corridor, major employer expansion |
Every de novo lease you sign is a multi-year capital commitment. The operators who build enterprise value at scale do so because they are analytical and disciplined about market selection before they are operational. Rushing to market in the wrong geography because a space became available is how well-capitalized practices end up in markets that cap their valuation at exit. Mihama works with healthcare operators at every stage — from pre-site diligence through transaction — to ensure growth decisions compound in your favor.
Mihama advises clients on de novo market analysis and referral source mapping prior to site commitment
347-878-2941
info@mihamainc.com
www.mihamainc.com
2500 Dallas Pkwy
Suite 530
Plano, TX 75093