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Care Transitions

The First Seven Days

Thirty days is the window every readmission program is measured on. It is not the shape of the risk, and the difference between those two things decides where a care team should spend the week after discharge.

Oz Josefian, President, PreventraNovember 2, 20266 min read
Care coordinator making a patient follow up call with discharge notes on her desk

Every hospital in the country can tell you its 30 day readmission rate. That number sets the penalty, anchors the board report, and defines the program. As a guide to action it is almost silent, because it describes a window without describing anything that happens inside it.

Thirty days is an accounting unit. Nothing about a patient's physiology changes on day thirty one. The number exists because a measurement period had to start and stop somewhere, and the one we settled on has quietly become the shape most programs staff against.

The shape is not flat.

What the distribution actually looks like

AHRQ's comparison of 7 day and 30 day readmissions puts the national all cause rate at 13.9 per 100 index stays at thirty days, and 5.0 per 100 at seven. That means 36.1 percent of all 30 day readmissions happen in the first week. A week is 23 percent of the window, so it carries roughly half again its share.

Now the part that complicates the easy version of this argument.

Readmissions do not stop after the first week. Work on heart failure, heart attack and pneumonia published in JAMA found them frequent across the entire month, and spread across a strikingly wide range of diagnoses, most of them unrelated to the reason the patient was admitted in the first place. The month after discharge is not a tidy convalescence from one illness. It is a stretch of generalized fragility.

So "readmissions cluster early" is only half true, and programs built on that half fail in a predictable way. They treat the first week as a box to tick and the rest of the month as somebody else's problem.

The more useful question is not where the volume is. It is where the opportunity is.

The half that changes the answer

A study of 822 patients readmitted across ten academic medical centers put a specific question to physician reviewers about every case. Could this readmission have been prevented, and where. Readmissions inside seven days were judged preventable 36.2 percent of the time. Readmissions between day eight and day thirty, 23.0 percent.

The reviewers also placed the fix differently depending on timing. For early readmissions they pointed back at the hospital. For late ones they pointed at the clinic and the home.

That tracks, once you say it plainly. An early readmission usually traces to something still inside the hospital's control at the moment of discharge. A medication that was wrong, a patient who was not ready, a plan that never reached the person who needed it. A readmission on day twenty two is far more likely to be disease doing what disease does.

We have argued before that not every readmission was ever preventable, and that the honest ceiling sits near one in four. This is the sharper version of that point. The preventable share is not only smaller than people assume, it is front loaded.

The arithmetic nobody runs

Hold the two findings next to each other.

Thirty six percent of readmissions land in the first week, and roughly a third of those were preventable. The remaining sixty four percent land across three weeks, and roughly a quarter of those were preventable. Run it out and something close to half of every preventable readmission sits inside the first seven days, in under a quarter of the window you are judged on.

That is an estimate rather than a measured statistic, and it deserves the caveat. The timing comes from national all payer data and the preventability comes from a general medicine cohort at academic centers. Different populations, and the exact figure would move with yours. The shape would not.

Half the opportunity, in under a quarter of the time.

Medicare already believes this

The odd part is that the payment system worked this out years ago.

Transitional care management requires interactive contact with the patient within two business days of discharge. The higher complexity code requires a face to face visit within seven days. The lower one allows fourteen. Those are not arbitrary numbers. Somebody looked at a curve.

So the same payer prices the first week as the part that matters, then measures you on a flat, all cause, thirty day rate that says nothing whatsoever about when anything happened. The fee schedule and the scorecard disagree about the shape of the risk, and almost every program is built to satisfy the scorecard.

What is actually happening in those days

The first week is when the discharge plan either survives contact with reality or it does not. Prescriptions get filled or they sit. The follow up visit gets booked or it slips a week and then another. And the teaching either landed or it did not, which is the piece that gets checked least and matters more than its reputation suggests.

Researchers interviewed 395 patients aged 65 and over after discharge for heart failure, pneumonia or acute coronary syndrome. 95.6 percent said they understood why they had been in the hospital. 59.6 percent could actually describe the diagnosis. Among the patients sent home with a follow up appointment, fewer than half could recall its details.

The gap between those two numbers is the problem, not either number on its own. These patients were not uncertain about whether they understood. They were confident. Confidence is what you get when teaching happens once, to somebody who is tired and wants to go home, and nobody comes back later to find out what survived the car ride.

The staffing failure this produces

Put it together and the failure inside most care management programs is not effort or skill. It is sequence.

A care team's hours are finite, which is the arithmetic we walked through in Which Patient Needs Your Team's Attention Today. Finite hours spread evenly against a curve that is not even is not a staffing shortage. It is a sequencing choice nobody made on purpose.

The outreach list gets worked roughly in the order it arrives, spread across the month, because that is what a flat thirty day target implies. The call that lands on day twenty is not useless. It is arriving after the window in which it could have changed anything has closed, to a patient whose readmission was less preventable to begin with.

Same team, same hours, same commitment, spending the scarcest resource in the least valuable part of the window.

Staff the week, not the month

The fix needs no additional headcount. It needs the first forty eight hours and the first seven days placed ahead of everything else on the list, and an honest acknowledgment that something later has to give.

Two measures tell you whether you have actually done it, and neither requires data you do not already hold.

The share of high risk patients reached inside forty eight hours, and inside seven days. Count conversations, not attempts.

Then the readmission rate in the cohort you contacted early, against a comparable baseline. Not the hospital wide rate, which will barely move and will tell you nothing about whether changing the sequence worked.

That is what we are building toward at Preventra: surfacing who needs the call, in what order, and why, so the clinicians who make the call reach the right patient while it can still change the outcome.

That is also why timing is part of how it ranks. Preventra watches each patient against the same transitional care management windows the fee schedule already pays for, and moves someone up the list as those windows approach with no contact or follow up on record. Not just who is high risk. Who needs the call this morning.

Thirty days is how you are measured. The first seven are when most of what you could have changed was still changeable.

Sources

  • Fingar KR, Barrett ML, Jiang HJ. A Comparison of All-Cause 7-Day and 30-Day Readmissions, 2014. HCUP Statistical Brief #230. Agency for Healthcare Research and Quality, October 2017. View study
  • Graham KL, Auerbach AD, Schnipper JL, et al. Preventability of Early Versus Late Hospital Readmissions in a National Cohort of General Medicine Patients. Annals of Internal Medicine. 2018;168(11):766-774. View study
  • Horwitz LI, Moriarty JP, Chen C, et al. Quality of Discharge Practices and Patient Understanding at an Academic Medical Center. JAMA Internal Medicine. 2013. View study
  • Dharmarajan K, Hsieh AF, Lin Z, et al. Diagnoses and Timing of 30-Day Readmissions After Hospitalization for Heart Failure, Acute Myocardial Infarction, or Pneumonia. JAMA. 2013;309(4):355-363. View study
  • Centers for Medicare and Medicaid Services. Transitional Care Management Services, CPT codes 99495 and 99496. View study

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