Quality Improvement in Otolaryngology-Head and Neck Surgery: Age-Related Hearing Loss Measures

Abstract

Background and significance: There is a high and growing prevalence of age-related hearing loss (ARHL), defined as presbycusis or bilateral, symmetric sensorineural hearing loss in older adults. Due to the increasing prevalence of ARHL, the potential delays in its diagnosis and treatment, and the significant disability associated with ARHL, the American Academy of Otolaryngology-Head and Neck Surgery Foundation (AAO-HNSF) convened a Measures Development Group (MDG) to develop quality measures (QMs) of clinical practice that could be incorporated into the AAO-HNSF's data registry Reg-ent. Although the AAO-HNSF has been engaged in robust clinical practice guideline development since 2006, the development of quality and performance measures is more recent.

Methods: We report the process, experience, and outcomes in developing a de novo QM set for ARHL in the absence of a preexisting clinical practice guideline on this topic. Steps include the MDG review of evidentiary literature on ARHL, followed by stakeholder discussions to develop measure specifications. Key considerations included discussion on the relative importance, usability, and feasibility of each measure within the Reg-ent or similar databases.

Results: The MDG created 4 QMs for the diagnosis and treatment of AHRL. These measures represent the AAO-HNSF's quality initiatives to develop evidence-based QMs and improve patient care and outcomes, and they are intended to assist providers in enhancing quality of care.

Conclusion: Development of the ARHL measures is intended for clinicians to evaluate the patient perception, structure, process, and outcomes of care. This process represents a new stage in the AAO-HNSF's measure development efforts to facilitate future efforts in evidence-based QM.

Keywords: advanced diagnosis imaging; age-related hearing loss; audiometric evaluation; hearing screening; implementation science; performance measures; presbycusis; quality assessment; quality measures.