Validity of the Neurology Quality-of-Life (Neuro-QoL) measurement system in adult epilepsy☆
Introduction
Epilepsy is a chronic neurological disorder that is characterized by recurrent, unprovoked seizures that are triggered by abnormal electrical discharges in the brain [1]. Once patients are diagnosed, they have several treatment options aimed at controlling seizures and reducing symptoms [2]. Although providing satisfactory seizure control is a primary goal, epilepsy's negative effect extends beyond the duration of individual seizures. Patients may also suffer from a host of cognitive, motor, and emotional changes that may result from the same brain disease that produces the seizures, which can significantly impact one's health-related quality of life (HRQL) [3], [4], [5], [6]. Additional issues facing persons with epilepsy include the risk of physical harm due to bone fracture, burns, drowning, and unexplained death, as well as risk from surgical intervention to control intractable seizure activity [5]. Medication side effects add to the challenges faced by patients and include sedation, nausea, double vision, tremor, and cognition and memory problems. Described as a social burden as well as a chronic illness, epilepsy also contributes to psychological concerns such as anxiety and fear of seizure occurrence and related social isolation as a result of stigmatization. Adults with epilepsy experience restricted driving privileges, higher rates of unemployment, and greater difficulty obtaining life or health insurance. Because of these long-term difficulties, HRQL assessment for persons with epilepsy requires attention to far more than the seizure event, medication side effects, or surgical intervention.
Instruments that were designed specifically to measure the HRQL of people that were diagnosed with epilepsy were not created until the 1980s [7]. Since then, there has been a growth in the development of HRQL measures that focus on epilepsy, its symptoms, and other aspects of treatment. One measure called the Performance, Subjective Evaluation and Socio-Demographic Data (PESOS) was created to measure epilepsy severity, HRQL, limitations in daily living, and psychosocial concerns. It is either self-administered or conducted through a face-to-face interview [8]. Another measure that is commonly used to measure HRQL of patients with epilepsy is the Quality of Life in Epilepsy (QOLIE-89) which has 31- and 10-item versions [9], [10]. It measures several domains including global HRQL, emotional well-being, energy–fatigue, seizure worry, medication effects, health status, and cognitive and social function. Other commonly used epilepsy-specific HRQL measures include the Well-Being Scale [11], the Liverpool Quality-of-Life Battery [12], the Quality-of-Life Assessment Schedule [13], and the Epilepsy Surgery Inventory [14].
The abundance of different generic and targeted HRQL measures that exist not only for epilepsy [15] but also for most major neurological diseases [16], [17], [18], [19], [20], [21], [22] has resulted in numerous clinical trials that lack the ability to be compared in a standardized manner. To address this, in 2005, the National Institute for Neurological Disorders and Stroke (NINDS) commissioned the creation of a new patient-reported outcomes measurement system for neurological disorders called “Neuro-QoL” [23]. Neurological Quality of Life was developed parallel to the NIH Patient-Reported Outcomes Measurement Information System (PROMIS) [24], [25], employing the same rigorous instrument-development guidelines and methodologies [26] and sharing common items with PROMIS item banks. Both PROMIS and Neuro-QoL employed item response theory (IRT) modeling [27] thereby enabling unique flexibility regarding item selection and use (e.g., use of Neuro-QoL-recommended short forms or the creation of trial-specific tailored forms), administration of items (use of static short forms or dynamic computerized adaptive tests), and deeper understanding of item information (e.g., ability to evaluate each item's information function, performance, and location along a given trait's severity continuum). The comprehensive development and initial calibration testing results of Neuro-QoL have been described previously [23], [28], [29], [30] and are beyond the scope of this clinical validation paper. The purpose of this paper is to report on the multisite validation testing results of Neuro-QoL short forms that have resulted from this work with a clinical sample of adult patients with epilepsy.
Section snippets
Participants and procedures
Consecutive patient recruitment occurred on an ongoing basis from six participating epilepsy treatment sites (Dartmouth, University of Texas Health Science Center at San Antonio, University of Chicago, University of Puerto Rico, NorthShore University Health System, and the Cleveland Clinic Foundation). Eligible patients were English-speaking adults 18 years or older with a diagnosis of epilepsy. Attempts were made to proportionally balance the level of seizure severity, from mild (no seizure
Sample characteristics
Study participants were primarily male (51%), white (85%), and non-Hispanic (75%) with an average age of 47.3 (range = 18–93). Forty-seven percent were married, while 67% had some college education or beyond. Fourteen percent were retired, 22% were on disability benefits, and 37% were employed either full- or part-time. The average time since epilepsy diagnosis was 18.5 years (SD = 13.9). Generalized seizures were most frequently experienced (57%) followed by focal seizures (25%). The mean number of
Discussion
Patients coping with a chronic condition such as epilepsy face a myriad of challenges beyond their physical impairment, and the ability to precisely measure these challenges is imperative. The psychosocial consequences of epilepsy, such as depression, anxiety, cognition, and social factors, may affect a person's quality of life over the long- or short-term, depending on the severity of the condition [49]. The Neuro-QoL measurement system uniquely offers epilepsy clinical researchers the
Conclusion
The 13 Neuro-QoL short forms demonstrated high internal consistency, ranging from .86 (Sleep Disturbance) to .96 (Depression). The intraclass correlation coefficients (ICCs) were generally acceptable, ranging from .57 (Ability to Participate in Social Roles and Activities) to .89 (Lower Extremity Function—Mobility). Convergent validity was good, with correlations of the expected strength and in the expected direction. Neurology Quality-of-Life measures discriminated between patients at
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Supported by the National Institute for Neurological Disorders and Stroke contracts HHSN 2652004236-01C and HHSN 271201200036C-0-0-1. The contents represent original work and have not been published elsewhere. No commercial party having a direct financial interest in the results of the research supporting this article has or will confer a benefit upon the author(s) or upon any organization with which the author(s) is/are associated.