Osteoporosis: Diagnosis and Management
Course #59143 -
- Participation Instructions
- Review the course material online or in print.
- Complete the course evaluation.
- Review your Transcript to view and print your Certificate of Completion. Your date of completion will be the date (Pacific Time) the course was electronically submitted for credit, with no exceptions. Partial credit is not available.
Osteoporosis has increasingly become a major health problem. The National Institutes of Health (NIH) has estimated that more than 10 million Americans have osteoporosis and more than 44 million have low bone mass, or osteopenia, which places them at risk for osteoporosis. To effectively prevent, diagnose, and treat this disease, physicians and other healthcare providers should understand the epidemiology, physiology, and management of osteoporosis.
This course is designed for dental professionals, especially those working with patients who present with suspected osteoporosis.
To appropriately prevent, diagnose, and treat osteoporosis, healthcare providers should understand the epidemiology, physiology, and management. The purpose of this course is to provide dental professionals with the information regarding causes and treatment of osteoporosis necessary to effectively provide patient-centered care.
Upon completion of this course, you should be able to:
- Discuss the clinical background of osteoporosis, noting the various definitions used in the past few years.
- Discuss the epidemiology of osteoporosis in the United States, based on age, sex, race, and other factors.
- Identify the primary and secondary causes of osteoporosis.
- Identify the various risk factors for osteoporosis.
- Describe the signs and symptoms of osteoporosis.
- List the various screening recommendations established for osteoporosis.
- Explain the various treatment modalities for osteoporosis.
- Describe the current dietary and physical activity recommendations related to osteoporosis.
- Discuss the pharmacologic treatment of osteoporosis, including indications and adverse reactions and the importance of utilizing interpreters in providing care to non-English-proficient patients.
John J. Whyte, MD, MPH, is currently the Chief Medical Officer at WebMD. In this role, he leads efforts to develop and expand strategic partnerships that create meaningful change around important and timely public health issues. Previously, Dr. Whyte was the Director of Professional Affairs and Stakeholder Engagement at the FDA’s Center for Drug Evaluation and Research and the Chief Medical Expert and Vice President, Health and Medical Education at Discovery Channel, part of the media conglomerate Discovery Communications.
Prior to this, Dr. Whyte was in the Immediate Office of the Director at the Agency for Healthcare Research Quality. He served as Medical Advisor/Director of the Council on Private Sector Initiatives to Improve the Safety, Security, and Quality of Healthcare. Prior to this assignment, Dr. Whyte was the Acting Director, Division of Medical Items and Devices in the Coverage and Analysis Group in the Centers for Medicare & Medicaid Services (CMS). CMS is the federal agency responsible for administering the Medicare and Medicaid programs. In his role at CMS, Dr.Whyte made recommendations as to whether or not the Medicare program should pay for certain procedures, equipment, or services. His division was responsible for durable medical equipment, orthotics/prosthetics, drugs/biologics/therapeutics, medical items, laboratory tests, and non-implantable devices. As Division Director as well as Medical Officer/Senior Advisor, Dr. Whyte was responsible for more national coverage decisions than any other CMS staff.
Dr. Whyte is a board-certified internist. He completed an internal medicine residency at Duke University Medical Center as well as earned a Master’s of Public Health (MPH) in Health Policy and Management at Harvard University School of Public Health. Prior to arriving in Washington, Dr. Whyte was a health services research fellow at Stanford and attending physician in the Department of Medicine. He has written extensively in the medical and lay press on health policy issues.
Peter Peraud, MD, is a graduate of Harvard College with a degree in economics and a graduate of the University of Iowa College of Medicine. As a medical student, Dr. Peraud participated in the American Medical Association Government Relations Internship Program, working at the Centers for Medicare & Medicaid Services. He completed an emergency medicine residency on the medical staff at Advocate Christ Medical Center in suburban Chicago. Currently, he is practicing emergency medicine at Mercy Medical Center in Cedar Rapids, Iowa.
Contributing faculty, John J. Whyte, MD, MPH, has disclosed no relevant financial relationship with any product manufacturer or service provider mentioned.
Contributing faculty, Peter Peraud, MD, has disclosed no relevant financial relationship with any product manufacturer or service provider mentioned.
William E. Frey, DDS, MS, FICD
The division planner has disclosed no relevant financial relationship with any product manufacturer or service provider mentioned.
Sarah Campbell
The Director of Development and Academic Affairs has disclosed no relevant financial relationship with any product manufacturer or service provider mentioned.
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The role of implicit biases on healthcare outcomes has become a concern, as there is some evidence that implicit biases contribute to health disparities, professionals' attitudes toward and interactions with patients, quality of care, diagnoses, and treatment decisions. This may produce differences in help-seeking, diagnoses, and ultimately treatments and interventions. Implicit biases may also unwittingly produce professional behaviors, attitudes, and interactions that reduce patients' trust and comfort with their provider, leading to earlier termination of visits and/or reduced adherence and follow-up. Disadvantaged groups are marginalized in the healthcare system and vulnerable on multiple levels; health professionals' implicit biases can further exacerbate these existing disadvantages.
Interventions or strategies designed to reduce implicit bias may be categorized as change-based or control-based. Change-based interventions focus on reducing or changing cognitive associations underlying implicit biases. These interventions might include challenging stereotypes. Conversely, control-based interventions involve reducing the effects of the implicit bias on the individual's behaviors. These strategies include increasing awareness of biased thoughts and responses. The two types of interventions are not mutually exclusive and may be used synergistically.