Patients' Response Toward an Automated Orthopedic Osteoporosis Intervention Program

Matthew A. Varacallo, Edward Fox, Emmanuel M. Paul, Susan E. Hassenbein, Pamela M. Warlow

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Osteoporosis is overshadowed in an era of chronic illnesses, and a care gap exists between physicians and patients. The aim of this study was to determine the effectiveness of implementing an automated system for identifying and sending a letter to patients at high risk for osteoporosis. Patients 50 years of age and older were tagged with an International Classification of Diseases, Ninth Revision, diagnostic code upon initial visit to the emergency department (ED), identifying potential fragility fractures. Automatically generated letters were sent via our osteoporosis database system to each patient 3 months after the initial visit to the ED. The letter indicated that he or she was at risk for osteoporosis and suggested that the patient schedule a follow-up appointment with a physician. Patients were subsequently telephoned 3 months after receiving the letter and asked about their current plan for follow-up. The control group did not receive a letter after departure from the ED. In the control group, 84 (85.71%) individuals of the total 98 did not have any follow-up but the remaining 14 (14.29%) sought a follow-up. In the intervention group, 62 (60.19%) individuals of 103 did schedule a follow-up, while the remaining 41 (39.81%) did not seek a follow-up. Thus, the patient follow-up response rate after fracture treatment improved with intervention (P < .0001). Current literature has demonstrated the low rate of follow-up care addressing osteoporosis in patients experiencing fragility fractures (1%-25% without intervention). Research has shown the effectiveness of various types of intervention programs for improving the continuum of care for these high-risk patients. Nonautomated intervention programs can have a multitude of human-related system failures in identifying these patients. Our study successfully implements an automated system that is able to be applied to most hospitals with minimal cost and resources.

Original languageEnglish (US)
Pages (from-to)89-98
Number of pages10
JournalGeriatric Orthopaedic Surgery & Rehabilitation
Volume4
Issue number3
DOIs
StatePublished - Jan 1 2013

Fingerprint

Osteoporosis
Orthopedics
Hospital Emergency Service
Appointments and Schedules
Physicians
Aftercare
Control Groups
Continuity of Patient Care
International Classification of Diseases
Chronic Disease
Databases
Costs and Cost Analysis
Research

All Science Journal Classification (ASJC) codes

  • Surgery
  • Orthopedics and Sports Medicine
  • Rehabilitation
  • Geriatrics and Gerontology

Cite this

Varacallo, Matthew A. ; Fox, Edward ; Paul, Emmanuel M. ; Hassenbein, Susan E. ; Warlow, Pamela M. / Patients' Response Toward an Automated Orthopedic Osteoporosis Intervention Program. In: Geriatric Orthopaedic Surgery & Rehabilitation. 2013 ; Vol. 4, No. 3. pp. 89-98.
@article{55e1d046b23b4f2698912f9af0c6dceb,
title = "Patients' Response Toward an Automated Orthopedic Osteoporosis Intervention Program",
abstract = "Osteoporosis is overshadowed in an era of chronic illnesses, and a care gap exists between physicians and patients. The aim of this study was to determine the effectiveness of implementing an automated system for identifying and sending a letter to patients at high risk for osteoporosis. Patients 50 years of age and older were tagged with an International Classification of Diseases, Ninth Revision, diagnostic code upon initial visit to the emergency department (ED), identifying potential fragility fractures. Automatically generated letters were sent via our osteoporosis database system to each patient 3 months after the initial visit to the ED. The letter indicated that he or she was at risk for osteoporosis and suggested that the patient schedule a follow-up appointment with a physician. Patients were subsequently telephoned 3 months after receiving the letter and asked about their current plan for follow-up. The control group did not receive a letter after departure from the ED. In the control group, 84 (85.71{\%}) individuals of the total 98 did not have any follow-up but the remaining 14 (14.29{\%}) sought a follow-up. In the intervention group, 62 (60.19{\%}) individuals of 103 did schedule a follow-up, while the remaining 41 (39.81{\%}) did not seek a follow-up. Thus, the patient follow-up response rate after fracture treatment improved with intervention (P < .0001). Current literature has demonstrated the low rate of follow-up care addressing osteoporosis in patients experiencing fragility fractures (1{\%}-25{\%} without intervention). Research has shown the effectiveness of various types of intervention programs for improving the continuum of care for these high-risk patients. Nonautomated intervention programs can have a multitude of human-related system failures in identifying these patients. Our study successfully implements an automated system that is able to be applied to most hospitals with minimal cost and resources.",
author = "Varacallo, {Matthew A.} and Edward Fox and Paul, {Emmanuel M.} and Hassenbein, {Susan E.} and Warlow, {Pamela M.}",
year = "2013",
month = "1",
day = "1",
doi = "10.1177/2151458513502039",
language = "English (US)",
volume = "4",
pages = "89--98",
journal = "Geriatric Orthopaedic Surgery and Rehabilitation",
issn = "2151-4585",
publisher = "SAGE Publications Inc.",
number = "3",

}

Patients' Response Toward an Automated Orthopedic Osteoporosis Intervention Program. / Varacallo, Matthew A.; Fox, Edward; Paul, Emmanuel M.; Hassenbein, Susan E.; Warlow, Pamela M.

In: Geriatric Orthopaedic Surgery & Rehabilitation, Vol. 4, No. 3, 01.01.2013, p. 89-98.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Patients' Response Toward an Automated Orthopedic Osteoporosis Intervention Program

AU - Varacallo, Matthew A.

AU - Fox, Edward

AU - Paul, Emmanuel M.

AU - Hassenbein, Susan E.

AU - Warlow, Pamela M.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Osteoporosis is overshadowed in an era of chronic illnesses, and a care gap exists between physicians and patients. The aim of this study was to determine the effectiveness of implementing an automated system for identifying and sending a letter to patients at high risk for osteoporosis. Patients 50 years of age and older were tagged with an International Classification of Diseases, Ninth Revision, diagnostic code upon initial visit to the emergency department (ED), identifying potential fragility fractures. Automatically generated letters were sent via our osteoporosis database system to each patient 3 months after the initial visit to the ED. The letter indicated that he or she was at risk for osteoporosis and suggested that the patient schedule a follow-up appointment with a physician. Patients were subsequently telephoned 3 months after receiving the letter and asked about their current plan for follow-up. The control group did not receive a letter after departure from the ED. In the control group, 84 (85.71%) individuals of the total 98 did not have any follow-up but the remaining 14 (14.29%) sought a follow-up. In the intervention group, 62 (60.19%) individuals of 103 did schedule a follow-up, while the remaining 41 (39.81%) did not seek a follow-up. Thus, the patient follow-up response rate after fracture treatment improved with intervention (P < .0001). Current literature has demonstrated the low rate of follow-up care addressing osteoporosis in patients experiencing fragility fractures (1%-25% without intervention). Research has shown the effectiveness of various types of intervention programs for improving the continuum of care for these high-risk patients. Nonautomated intervention programs can have a multitude of human-related system failures in identifying these patients. Our study successfully implements an automated system that is able to be applied to most hospitals with minimal cost and resources.

AB - Osteoporosis is overshadowed in an era of chronic illnesses, and a care gap exists between physicians and patients. The aim of this study was to determine the effectiveness of implementing an automated system for identifying and sending a letter to patients at high risk for osteoporosis. Patients 50 years of age and older were tagged with an International Classification of Diseases, Ninth Revision, diagnostic code upon initial visit to the emergency department (ED), identifying potential fragility fractures. Automatically generated letters were sent via our osteoporosis database system to each patient 3 months after the initial visit to the ED. The letter indicated that he or she was at risk for osteoporosis and suggested that the patient schedule a follow-up appointment with a physician. Patients were subsequently telephoned 3 months after receiving the letter and asked about their current plan for follow-up. The control group did not receive a letter after departure from the ED. In the control group, 84 (85.71%) individuals of the total 98 did not have any follow-up but the remaining 14 (14.29%) sought a follow-up. In the intervention group, 62 (60.19%) individuals of 103 did schedule a follow-up, while the remaining 41 (39.81%) did not seek a follow-up. Thus, the patient follow-up response rate after fracture treatment improved with intervention (P < .0001). Current literature has demonstrated the low rate of follow-up care addressing osteoporosis in patients experiencing fragility fractures (1%-25% without intervention). Research has shown the effectiveness of various types of intervention programs for improving the continuum of care for these high-risk patients. Nonautomated intervention programs can have a multitude of human-related system failures in identifying these patients. Our study successfully implements an automated system that is able to be applied to most hospitals with minimal cost and resources.

UR - http://www.scopus.com/inward/record.url?scp=84993824987&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84993824987&partnerID=8YFLogxK

U2 - 10.1177/2151458513502039

DO - 10.1177/2151458513502039

M3 - Article

AN - SCOPUS:84993824987

VL - 4

SP - 89

EP - 98

JO - Geriatric Orthopaedic Surgery and Rehabilitation

JF - Geriatric Orthopaedic Surgery and Rehabilitation

SN - 2151-4585

IS - 3

ER -