Automated Osteoporosis Follow Up Plan Could Efficiently Identify High-Risk Osteoporosis Patients

Penn State College of Medicine researchers have developed an automated system that can identify high risk osteoporosis patients under treatment for fractures along with generating letters that generate follow up. This according to the researchers is an effective way to prevent future fractures and promote osteoporosis intervention. 

The researchers identified 103 patients that were at least 50 years old with fractures. All the patients identified were seeking medical help at the emergency department of Penn State Milton S. Hershey Medical Center. The researchers further went on to analyze treatment codes to find fractures that seemed to be from bone fragility -- a broken bone caused by a fall from standing height or less.

The researchers received data every month from the hospital's finance department. The data was used to autopopulate a spreadsheet created specifically to screen for osteoporosis. Further screening of the data base ensured elimination of those patients whose injuries were not consistent with fragility fractures. Finally, the computer generated letters were mailed to the final list. The researchers found that less than 30 percent of postmenopausal women and less than 10 percent of men with a prior fragility fracture are treated for osteoporosis. 

"Our almost fully automated osteoporosis system identifies these patients, requires minimal resources -- many of which are already currently in U.S. hospitals, but just need to be tapped -- and delivers substantially improved osteoporosis intervention results," said Edward Fox, professor of orthopedics.

Patients were sent a letter within three months of their emergency room visit that explained that they may be at risk for osteoporosis and encouraged them to schedule an appointment with their doctor or the hospital's bone health clinic. A follow-up phone call was placed three months after the letter, asking if follow-up treatment had occurred.

For comparison, a group of 98 patients who did not receive letters were also contacted by phone six months after being treated in the emergency department for a fragility fracture. These patients were asked if they were being treated or had plans for follow-up after their fracture.

Of those who received letters, 60 percent had followed up. Only 14 percent of those who did not receive a letter had, or planned, follow-up care. Results were published in Geriatric Orthopaedic Surgery & Rehabilitation.

Past research has been conducted on osteoporosis intervention programs, but the majority of programs have lacked automation or could be difficult to implement in an average hospital. Since it is automated, this system reduces the potential for human error in identifying high-risk patients.

Nationally, osteoporosis contributes to more than 2 million fractures per year.

"Progressive bone fragility leads to greater risk for fractures," Fox said. "Hospitals treat fragility fractures, but they have no system in place to evaluate those same patients for osteoporosis to prevent the next fracture. This study's results are better than no letter or doing nothing, which is what most hospitals are doing, including the one piloting our program before it started this program."

Future studies should examine the effectiveness of using both a phone call and a letter to improve follow-up rates.