Hospital outcomes
Is the hospital near you any good, and how would you know?
Across 5,359 reporting hospitals in 51 states, the average 30-day readmission rate is 14.93% and 30-day mortality 4.21%, on a CMS overall rating that averages 3.13 of 5 stars. The averages hide wide state and hospital variation, which is exactly what the State filter and the facility profile are for.
The problem
Hospital quality is a national accountability issue that becomes actionable only at the facility and market level. National averages can look stable while specific hospitals, regions, and service lines persistently underperform, which means broad quality programs risk missing the patients most exposed to preventable harm.
The recommendation
Target the facility tail, not the national mean. The recommended consultant approach is to use national benchmarks to define the problem, state patterns to prioritize markets, and named-facility metrics to drive improvement plans, oversight, and public accountability.
The problem
For consumers and purchasers, the hospital landscape is difficult to navigate because composite ratings compress many different quality signals into a single score. That score can identify the extremes, but it is too blunt for most real-world hospital selection decisions where safety, readmission risk, patient experience, and service-specific outcomes matter differently.
The recommendation
Use star ratings as a screening tool, not the final decision rule. The recommended approach is to shortlist with the composite, then compare facility-level readmission and infection measures for the actual type of care being considered.
30-day readmission rate by state
Each cell is a state's average hospital-wide readmission rate. Redder is higher (worse). The benchmark is the national average.
Read it this way State color tells you the average, not your hospital: most variation lives within states, so use this to spot regional patterns, then drill to facilities with the State filter and the strip below. Pick a state in the filter to spotlight its cell. Use this chart to move from national context to state or facility variation, and to see why the recommendation focuses quality intervention on the underperforming tail.
⊞ data table⬇ CSV
| State | 30-day readmission rate (%) |
|---|---|
| MA | 15.64 |
| FL | 15.49 |
| NJ | 15.45 |
| RI | 15.45 |
| NV | 15.25 |
| KY | 15.24 |
| WV | 15.23 |
| IL | 15.2 |
| LA | 15.17 |
| NY | 15.17 |
| AR | 15.15 |
| MS | 15.15 |
| PA | 15.14 |
| GA | 15.07 |
| NH | 15.07 |
| OH | 15.07 |
| MO | 15.06 |
| AL | 15.04 |
| CA | 15.03 |
| TN | 14.96 |
| TX | 14.96 |
| MI | 14.95 |
| AK | 14.92 |
| CT | 14.92 |
| NM | 14.92 |
| DE | 14.91 |
| ND | 14.91 |
| AZ | 14.89 |
| NE | 14.88 |
| OK | 14.84 |
| NC | 14.83 |
| MT | 14.82 |
| KS | 14.81 |
| VT | 14.81 |
| ME | 14.8 |
| IA | 14.78 |
| VA | 14.78 |
| IN | 14.77 |
| DC | 14.76 |
| SD | 14.76 |
| WY | 14.76 |
| WI | 14.75 |
| SC | 14.73 |
| MN | 14.7 |
| CO | 14.56 |
| ID | 14.54 |
| UT | 14.5 |
| OR | 14.48 |
| WA | 14.45 |
| MD | 14.43 |
| HI | 14.39 |
CMS Provider Data Catalog · Hospital Care Compare · 2026-05-13 · source
How the star ratings fall
Count of hospitals at each CMS overall rating.
Read it this way The mass sits at 3-4 stars, so the rating separates the tails, not the middle. Set the State filter to re-draw this distribution for one state. A state whose bars lean left has a genuinely weaker hospital stock, not just a big-city case mix. Use this chart to move from national context to state or facility variation, and to see why the recommendation focuses quality intervention on the underperforming tail.
⊞ data table⬇ CSV
| Overall star rating | Hospitals |
|---|---|
| 1★ | 225 |
| 2★ | 645 |
| 3★ | 932 |
| 4★ | 765 |
| 5★ | 288 |
CMS Provider Data Catalog · Hospital Care Compare · 2026-05-13 · source
The 15 highest-readmission large hospitals
Hospital-wide 30-day readmission rate, hospitals with 100+ beds. This is the hospital grain the State filter re-ranks.
Read it this way Every dot to the right of the dashed national line readmits more than the average hospital. Set the State filter to re-rank within one state. Distance from the line matters more than rank, and referral centers can sit high for case-mix reasons the risk adjustment only partly removes. Use this chart to move from national context to state or facility variation, and to see why the recommendation focuses quality intervention on the underperforming tail.
Caveat Ranked among hospitals that publicly report the hospital-wide measure. High-acuity referral centers can carry higher rates for case-mix reasons CMS risk-adjusts only partly.
⊞ data table⬇ CSV
| Hospital | 30-day readmission rate |
|---|---|
| Oroville Hospital · Oroville, CA | 19.3 |
| L A Downtown Medical Center · Los Angeles, CA | 19.1 |
| St John'S Episcopal Hospital At South Shore · Far Rockaway, NY | 18.2 |
| Alliancehealth Durant · Durant, OK | 17.9 |
| Larkin Community Hospital · South Miami, FL | 17.7 |
| St Claire Regional Medical Center · Morehead, KY | 17.6 |
| North Shore Medical Center · Miami, FL | 17.5 |
| St Lucie Medical Center · Port Saint Lucie, FL | 17.5 |
| Jefferson Stratford Hospital · Stratford, NJ | 17.5 |
| Hca Florida Palms West Hospital · Loxahatchee, FL | 17.4 |
| South Shore Hospital · South Weymouth, MA | 17.4 |
| Centinela Hospital Medical Center · Inglewood, CA | 17.3 |
| Tufts Medical Center · Boston, MA | 17.2 |
| Milford Regional Medical Center · Milford, MA | 17.2 |
| Maimonides Medical Center · Brooklyn, NY | 17.2 |
CMS Provider Data Catalog · Hospital Care Compare · 2026-05-13 · source
Patient experience by state
Share of patients who rated their hospital 9 or 10 out of 10 (HCAHPS). Bluer is higher (better).
Read it this way This measures how patients felt about communication and courtesy, not whether care was safe. Regional clustering here is real (staffing culture travels), but do not read a blue state as a safe state. Compare with the infection map beside it. Use this chart to move from national context to state or facility variation, and to see why the recommendation focuses quality intervention on the underperforming tail.
⊞ data table⬇ CSV
| State | patient experience (HCAHPS linear) |
|---|---|
| NE | 79.03 |
| KS | 78.72 |
| UT | 77.5 |
| IA | 77.35 |
| SD | 77 |
| WI | 76.46 |
| LA | 76.2 |
| ND | 75.9 |
| ID | 75.67 |
| MN | 75.61 |
| CO | 74.89 |
| MT | 74.5 |
| ME | 74.16 |
| NH | 74.08 |
| WV | 74 |
| TX | 73.84 |
| WY | 73.8 |
| OK | 73.77 |
| IN | 73.34 |
| VT | 73.29 |
| AR | 73.13 |
| OR | 72.98 |
| OH | 72.94 |
| MS | 72.75 |
| KY | 72.51 |
| VA | 72.38 |
| PA | 72.12 |
| SC | 71.95 |
| AK | 71.77 |
| MO | 71.72 |
| GA | 71.63 |
| NC | 71.35 |
| HI | 71.07 |
| AL | 70.96 |
| TN | 70.53 |
| IL | 70.18 |
| WA | 69.88 |
| RI | 69.55 |
| MI | 69.41 |
| AZ | 68.41 |
| NM | 68 |
| MA | 67.93 |
| NV | 67.68 |
| FL | 67.61 |
| CA | 67.38 |
| CT | 66.15 |
| NY | 65.62 |
| DE | 65.57 |
| MD | 65.53 |
| NJ | 64.92 |
| DC | 60.29 |
CMS Provider Data Catalog · Hospital Care Compare · 2026-05-13 · source
Healthcare-associated infection ratio by state
Average standardized infection ratio (SIR). 1.0 means as many infections as predicted, and below 1.0 is better.
Read it this way Anything above 1.0 means more infections than predicted for that case mix, and infection control is the most hospital-controllable measure on this page. States above the line have a fixable problem. Pick one in the filter to spotlight it. Use this chart to move from national context to state or facility variation, and to see why the recommendation focuses quality intervention on the underperforming tail.
⊞ data table⬇ CSV
| State | healthcare-associated infection score (SIR) (SIR) |
|---|---|
| VT | 0.71 |
| DC | 0.65 |
| ID | 0.63 |
| NM | 0.63 |
| WI | 0.59 |
| IN | 0.57 |
| SD | 0.57 |
| AK | 0.56 |
| WA | 0.56 |
| HI | 0.55 |
| ME | 0.55 |
| MS | 0.55 |
| PA | 0.55 |
| IL | 0.54 |
| MA | 0.54 |
| MO | 0.54 |
| MT | 0.54 |
| IA | 0.53 |
| MN | 0.53 |
| KY | 0.52 |
| MI | 0.52 |
| OR | 0.52 |
| WV | 0.52 |
| OH | 0.51 |
| CA | 0.5 |
| AL | 0.49 |
| DE | 0.49 |
| LA | 0.49 |
| NH | 0.49 |
| NY | 0.49 |
| CO | 0.48 |
| KS | 0.48 |
| MD | 0.48 |
| GA | 0.47 |
| NC | 0.47 |
| TN | 0.47 |
| WY | 0.47 |
| AR | 0.45 |
| AZ | 0.44 |
| OK | 0.44 |
| SC | 0.43 |
| NJ | 0.41 |
| TX | 0.39 |
| ND | 0.38 |
| FL | 0.36 |
| NE | 0.36 |
| RI | 0.36 |
| CT | 0.33 |
| NV | 0.32 |
| UT | 0.32 |
| VA | 0.31 |
CMS Provider Data Catalog · Hospital Care Compare · 2026-05-13 · source
Why this matters
Quality is produced at the facility level: staffing, infection control, and safety culture are local properties. National programs move averages slowly because they dilute pressure across 5,400 facilities. Facility-named accountability moves the tail because it concentrates it. Infection ratio is the clearest case: it is the most hospital-controllable measure here.
Recommended actions
- Drill to the facility grain with the State filter and the hospital strip before drawing any conclusion from a state color.
- Prioritize infection-ratio (SIR) improvement programs. Above-1.0 facilities have a measurable, fixable problem.
- Focus oversight on the persistent 1-2 star tail rather than spreading attention across the 3-4 star middle.
- Track within-state spread as the quality KPI. A falling spread means the tail is closing, which a stable mean can hide.
The recommendation
Therefore, target the facility tail, not the national mean. The recommended consultant approach is to use national benchmarks to define the problem, state patterns to prioritize markets, and named-facility metrics to drive improvement plans, oversight, and public accountability.
Why this matters
The overall star compresses dozens of measures with weighting choices a patient cannot see, which makes it statistically real at the tails and noise in the middle. The two measures that track your actual risk are specific: readmission for medical stays, standardized infection ratio for planned procedures.
Recommended actions
- Rule out 1-2 star facilities. That is the one decision the composite supports.
- For planned surgery, compare SIR across your shortlist in the facility profile card on the hospital-economics dashboard.
- For medical admissions, compare hospital-wide readmission and ask about anything sitting far above the national line.
- Weight patient-experience scores for long stays and communication needs, not for choosing a surgeon.
- Look your hospital up in the data table under each chart. Every reporting facility is in there.
The recommendation
Therefore, use star ratings as a screening tool, not the final decision rule. The recommended approach is to shortlist with the composite, then compare facility-level readmission and infection measures for the actual type of care being considered.
Demographic slice none. CMS Care Compare is reported per hospital, and scores are risk-standardized by CMS. Suppressed (low-volume) measures are left blank, never imputed.
Sources
- CMS Provider Data Catalog · Hospital Care Compare · 2026-05-13