Disability and rehabilitation
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The purpose of this article is to synthesise the scholarly literature related to perceptions of mild traumatic brain injury (mTBI) and health outcomes in an adult population. ⋯ Perceptions of mild traumatic brain injury, or how persons think about and understand mTBI and recovery, have important implications for rehabilitation intervention. Intervention research integrating perceptions of mild traumatic brain injury, while emerging, is needed. Engagement with the health psychology literature is recommended. Implications for rehabilitation Perceptions of mild traumatic brain injury (mTBI) and recovery have been associated with health outcomes and are worth considering in clinical rehabilitation practice. Studies reviewed demonstrate associations between negative perceptions of mTBI and increased symptom report, poor cognitive test performance, and impaired function. Potential implications for the rehabilitation process are discussed, including how to assess perceptions of mTBI in clinical interaction, and how to communicate information regarding symptoms, effects on daily life, and expectations for recovery following injury.
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The main objectives of this manuscript were to provide a theoretical perspective on naturalistic delivery in rehabilitation based upon a literature review and establish a rationale for using ecological momentary assessment (EMA) for naturalistic assessment for chronic illness and disability (CID) in rehabilitation. ⋯ EMA is emerging as a novel modality of assessment in rehabilitation. Scientists and clinicians should consider incorporating this assessment approach as a rehabilitation tool that may more accurately assess the complex and dynamic nature of disability over the long-term through an objective and ecologically-valid data source. Implications for rehabilitation Ecological momentary assessment (EMA) has been underutilized in the rehabilitation field and should be considered by researchers and clinicians as a novel assessment method for capturing rich, ecologically-valid data. EMA methods provide a greater capability to assess complex or difficult to measure outcomes of interest when compared with more traditional approaches conducted during finite clinic hours due to data collection occurring, with or without any input from the user, through wearable technology, and without a needed clinician presence. EMA data can be integrated with other data sources (e.g., self-report or clinician observation) to assess a more comprehensive picture of outcomes of interest, including highlighting discordance and identifying the most efficient target areas for intervention.