Can we do better at measuring patient-reported outcomes after cranioplasty? A systematic review.
Taborah Z ZaramoIan ZelkoDashaun RaglandJude TunyiManraj N KaurNojan BajestaniClara N LeeKevin C ChungKerry-Ann S MitchellPublished in: Neurosurgical review (2023)
Measuring quality of life (QOL) after cranioplasty is increasingly evident as a necessary component of patient-centered care. For data to be useful in clinical decision-making and approval of new therapies, studies must utilize valid and reliable instruments. Our objective was to critically appraise studies evaluating QOL in adult cranioplasty patients and determine validity and relevance of the patient-reported outcome measures (PROMs) used. Electronic databases of PubMed, Embase, CINAHL, and PsychINFO were used to identify PROMs measuring QOL in adult patients with cranioplasty. The methodological approach, cranioplasty outcomes, and domains measured by the PROMs were extracted and summarized descriptively. A content analysis of the identified PROMs was completed to identify the concepts measured. From 2236 articles identified, 17 articles containing eight QOL PROMs met the inclusion criteria. None of the PROMs was specifically validated or developed for adults undergoing cranioplasty. The QOL domains included physical health, psychological health, social health, and general QOL. These four domains encompassed 216 total items among the PROMs. Appearance was only assessed in two PROMs. To our knowledge, there are currently no validated PROMs that comprehensively measure appearance, facial function, and adverse effects in adults undergoing cranioplasty. There is an urgent need to develop PROMs to measure QOL outcomes rigorously and comprehensively in this patient population to inform clinical care, research, and quality improvement initiatives. Findings from this systematic review will be used to derive an outcome instrument containing important concepts related to QOL in patients who undergo cranioplasty.
Keyphrases
- patient reported outcomes
- healthcare
- quality improvement
- systematic review
- mental health
- public health
- patient reported
- palliative care
- health information
- physical activity
- big data
- pain management
- depressive symptoms
- type diabetes
- skeletal muscle
- metabolic syndrome
- chronic kidney disease
- ejection fraction
- deep learning
- health promotion
- patient safety
- electronic health record