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Hsu WY, Anguera JA, Rizzo A, Campusano R, Chiaravalloti ND, DeLuca J, Gazzaley A, Bove RM. A virtual reality program to assess cognitive function in multiple sclerosis: A pilot study. Front Hum Neurosci 2023; 17:1139316. [PMID: 37007676 PMCID: PMC10060881 DOI: 10.3389/fnhum.2023.1139316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 02/17/2023] [Indexed: 03/18/2023] Open
Abstract
Introduction: Cognitive impairment is a debilitating symptom in people with multiple sclerosis (MS). Most of the neuropsychological tasks have little resemblance to everyday life. There is a need for ecologically valid tools for assessing cognition in real-life functional contexts in MS. One potential solution would involve the use of virtual reality (VR) to exert finer control over the task presentation environment; however, VR studies in the MS population are scarce.Objectives: To explore the utility and feasibility of a VR program for cognitive assessment in MS.Methods: A VR classroom embedded with a continuous performance task (CPT) was assessed in 10 non-MS adults and 10 people with MS with low cognitive functioning. Participants performed the CPT with distractors (i.e., WD) and without distractors (i.e., ND). The Symbol Digit Modalities Test (SDMT), California Verbal Learning Test—II (CVLT-II), and a feedback survey on the VR program was administered.Results: People with MS exhibited greater reaction time variability (RTV) compared to non-MS participants, and greater RTV in both WD and ND conditions was associated with lower SDMT.Conclusions: VR tools warrant further research to determine their value as an ecologically valid platform for assessing cognition and everyday functioning in people with MS.
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Affiliation(s)
- Wan-Yu Hsu
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Joaquin A. Anguera
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Neuroscape, University of California, San Francisco, San Francisco, CA, United States
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Albert Rizzo
- Institute for Creative Studies, University of Southern California, Los Angeles, CA, United States
| | - Richard Campusano
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Neuroscape, University of California, San Francisco, San Francisco, CA, United States
| | - Nancy D. Chiaravalloti
- Kessler Foundation, East Hanover, NJ, United States
- Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, United States
| | - John DeLuca
- Kessler Foundation, East Hanover, NJ, United States
- Department of Physical Medicine & Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ, United States
| | - Adam Gazzaley
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
- Neuroscape, University of California, San Francisco, San Francisco, CA, United States
- Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
- Department of Physiology, University of California, San Francisco, San Francisco, CA, United States
| | - Riley M. Bove
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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Liu Q, Song H, Yan M, Ding Y, Wang Y, Chen L, Yin H. Virtual reality technology in the detection of mild cognitive impairment: A systematic review and meta-analysis. Ageing Res Rev 2023; 87:101889. [PMID: 36806377 DOI: 10.1016/j.arr.2023.101889] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 02/07/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023]
Abstract
BACKGROUND In recent years, virtual reality technology has developed the potential to help in the early detection of mild cognitive impairment (MCI). However, integrative evidence of its detection performance for mild cognitive impairment is lacking, and meta-analysis or systematic reviews are required to further determine the effectiveness of virtual reality technology in screening for MCI. METHODS Literature searches were performed for MCI screening tests in the Cochrane Library, Web of Science, PsycINFO, PubMed, EMBASE, CINAHL, and Scopus. The primary outcome was the performance of VR tests for MCI detection. A protocol for this systematic review was registered in PROSPERO (Registration number: CRD42022302139). RESULTS A total of 14 studies in 13 reports were eventually included. The combined data with the bivariate random-effects model gave a summary point of 0.89 sensitivity (95 % confidence interval [CI]: 0.82-0.94) and 0.91 specificity (95 % CI: 0.82-0.96). The SROC curve was plotted, the DOR was 79.25 (95 % CI: 22.59-277.99), and the AUC was 0.95 (95 % CI: 0.93-0.97). CONCLUSIONS Virtual reality-based tests have shown considerable detection performance in detecting MCI, and therefore, virtual reality-based tests can serve as recommended screening methods. Future studies can consider longitudinal assessment and follow-up programs to identify progressive changes.
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Affiliation(s)
- Qian Liu
- Jilin University School of Nursing, Changchun, China.
| | - Huali Song
- The First Hospital of Jilin University, Changchun, China.
| | - Mingli Yan
- Jilin University School of Nursing, Changchun, China.
| | - Yiwen Ding
- Jilin University School of Nursing, Changchun, China.
| | - Yinuo Wang
- Jilin University School of Nursing, Changchun, China.
| | - Li Chen
- Jilin University School of Nursing, Changchun, China.
| | - Huiru Yin
- Jilin University School of Nursing, Changchun, China.
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McLean E, Cornwell MA, Bender HA, Sacks-Zimmerman A, Mandelbaum S, Koay JM, Raja N, Kohn A, Meli G, Spat-Lemus J. Innovations in Neuropsychology: Future Applications in Neurosurgical Patient Care. World Neurosurg 2023; 170:286-295. [PMID: 36782427 DOI: 10.1016/j.wneu.2022.09.103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 02/11/2023]
Abstract
Over the last century, collaboration between clinical neuropsychologists and neurosurgeons has advanced the state of the science in both disciplines. These advances have provided the field of neuropsychology with many opportunities for innovation in the care of patients prior to, during, and following neurosurgical intervention. Beyond giving a general overview of how present-day advances in technology are being applied in the practice of neuropsychology within a neurological surgery department, this article outlines new developments that are currently unfolding. Improvements in remote platform, computer interface, "real-time" analytics, mobile devices, and immersive virtual reality have the capacity to increase the customization, precision, and accessibility of neuropsychological services. In doing so, such innovations have the potential to improve outcomes and ameliorate health care disparities.
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Affiliation(s)
- Erin McLean
- Department of Psychology, Hofstra University, Hempstead, New York, USA; Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA
| | - Melinda A Cornwell
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA
| | - H Allison Bender
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA.
| | | | - Sarah Mandelbaum
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Clinical Psychology with Health Emphasis, Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA
| | - Jun Min Koay
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Psychiatry and Psychology, Mayo Clinic, Jacksonville, Florida, USA
| | - Noreen Raja
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Graduate School of Applied and Professional Psychology, Rutgers University, Piscataway, New Jersey, USA
| | - Aviva Kohn
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Clinical Psychology with Health Emphasis, Ferkauf Graduate School of Psychology, Yeshiva University, Bronx, New York, USA
| | - Gabrielle Meli
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA; Department of Human Ecology, Cornell University, Ithaca, New York, USA
| | - Jessica Spat-Lemus
- Department of Neurological Surgery, Weill Cornell Medicine, New York, New York, USA
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4
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Sohn M, Yang J, Sohn J, Lee JH. Digital healthcare for dementia and cognitive impairment: A scoping review. Int J Nurs Stud 2022; 140:104413. [PMID: 36821951 DOI: 10.1016/j.ijnurstu.2022.104413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 11/11/2022] [Accepted: 11/24/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND Cognitive disorders, such as Alzheimer's disease, are a global health problem. Digital healthcare technology is an innovative management tool for delaying the progression of dementia and mild cognitive impairment. Thanks to digital technology, the possibility of safe and effective care for patients at home and in the community is increasing, even in situations that threaten the continuity of care, such as the COVID-19 pandemic. However, it is difficult to select appropriate technology and alternatives due to the lack of comprehensive reviews on the types and characteristics of digital technology for cognitive impairment, including their effects and limitations. OBJECTIVE This study aims to identify the types of digital healthcare technology for dementia and mild cognitive impairment and comprehensively examine how its outcome measures were constructed in line with each technology's purpose. METHODS According to the Preferred Reporting Items for Systematic reviews and Meta-Analysis extension for Scoping Reviews guidelines, a literature search was conducted in August 2021 using Medline (Ovid), EMBASE, and Cochrane library. The search terms were constructed based on Population-Concept-Context mnemonic: 'dementia', 'cognitive impairment', and 'cognitive decline'; digital healthcare technology, such as big data, artificial intelligence, virtual reality, robots, applications, and so on; and the outcomes of digital technology, such as accuracy of diagnosis and physical, mental, and social health. After grasping overall research trends, the literature was classified and analysed in terms of the type of service users and technology. RESULTS In total, 135 articles were selected. Since 2015, an increase in literature has been observed, and various digital healthcare technologies were identified. For people with mild cognitive impairment, technology for predicting and diagnosing the onset of dementia was studied, and for people with dementia, intervention technology to prevent the deterioration of health and induce significant improvement was considered. Regarding caregivers, many studies were conducted on monitoring and daily living assistive technologies that reduce the burden of care. However, problems such as data collection, storage, safety, and the digital divide persisted at different intensities for each technology type. CONCLUSIONS This study revealed that appropriate technology options and considerations may differ depending on the characteristics of users. It also emphasises the role of humans in designing and managing technology to apply digital healthcare technology more effectively.
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Affiliation(s)
- Minsung Sohn
- Division of Health and Medical Sciences, The Cyber University of Korea, Seoul, Republic of Korea
| | - JungYeon Yang
- Transdisciplinary Major in Learning Health Systems, Department of Public Health Science, Graduate School, Korea University, Republic of Korea
| | - Junyoung Sohn
- Department of Artificial Intelligence, Korea University, Seoul, Republic of Korea
| | - Jun-Hyup Lee
- Department of Health Policy and Management, College of Health Sciences, Korea University, Republic of Korea.
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5
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Wiebe A, Kannen K, Selaskowski B, Mehren A, Thöne AK, Pramme L, Blumenthal N, Li M, Asché L, Jonas S, Bey K, Schulze M, Steffens M, Pensel MC, Guth M, Rohlfsen F, Ekhlas M, Lügering H, Fileccia H, Pakos J, Lux S, Philipsen A, Braun N. Virtual reality in the diagnostic and therapy for mental disorders: A systematic review. Clin Psychol Rev 2022; 98:102213. [PMID: 36356351 DOI: 10.1016/j.cpr.2022.102213] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Revised: 08/21/2022] [Accepted: 10/11/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND Virtual reality (VR) technologies are playing an increasingly important role in the diagnostics and treatment of mental disorders. OBJECTIVE To systematically review the current evidence regarding the use of VR in the diagnostics and treatment of mental disorders. DATA SOURCE Systematic literature searches via PubMed (last literature update: 9th of May 2022) were conducted for the following areas of psychopathology: Specific phobias, panic disorder and agoraphobia, social anxiety disorder, generalized anxiety disorder, posttraumatic stress disorder (PTSD), obsessive-compulsive disorder, eating disorders, dementia disorders, attention-deficit/hyperactivity disorder, depression, autism spectrum disorder, schizophrenia spectrum disorders, and addiction disorders. ELIGIBILITY CRITERIA To be eligible, studies had to be published in English, to be peer-reviewed, to report original research data, to be VR-related, and to deal with one of the above-mentioned areas of psychopathology. STUDY EVALUATION For each study included, various study characteristics (including interventions and conditions, comparators, major outcomes and study designs) were retrieved and a risk of bias score was calculated based on predefined study quality criteria. RESULTS Across all areas of psychopathology, k = 9315 studies were inspected, of which k = 721 studies met the eligibility criteria. From these studies, 43.97% were considered assessment-related, 55.48% therapy-related, and 0.55% were mixed. The highest research activity was found for VR exposure therapy in anxiety disorders, PTSD and addiction disorders, where the most convincing evidence was found, as well as for cognitive trainings in dementia and social skill trainings in autism spectrum disorder. CONCLUSION While VR exposure therapy will likely find its way successively into regular patient care, there are also many other promising approaches, but most are not yet mature enough for clinical application. REVIEW REGISTRATION PROSPERO register CRD42020188436. FUNDING The review was funded by budgets from the University of Bonn. No third party funding was involved.
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Affiliation(s)
- Annika Wiebe
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Kyra Kannen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Benjamin Selaskowski
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Aylin Mehren
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Ann-Kathrin Thöne
- School of Child and Adolescent Cognitive Behavior Therapy (AKiP), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Lisa Pramme
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Nike Blumenthal
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Mengtong Li
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Laura Asché
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Stephan Jonas
- Institute for Digital Medicine, University Hospital Bonn, Bonn, Germany
| | - Katharina Bey
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Marcel Schulze
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Maria Steffens
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Max Christian Pensel
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Matthias Guth
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Felicia Rohlfsen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Mogda Ekhlas
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Helena Lügering
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Helena Fileccia
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Julian Pakos
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Silke Lux
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Alexandra Philipsen
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany
| | - Niclas Braun
- Department of Psychiatry and Psychotherapy, University Hospital Bonn, Bonn, Germany.
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Jang S, Choi SW, Son SJ, Oh J, Ha J, Kim WJ, Roh HW, Kim KY, Lee S, Jung E, Cha W, Chae H, Kang S, Kwon JH, Kim IY, Lee JY, Shin HK, Ryu JS, Ahn R, Hong CH, Seok JH. Virtual reality-based monitoring test for MCI: A multicenter feasibility study. Front Psychiatry 2022; 13:1057513. [PMID: 36741575 PMCID: PMC9891464 DOI: 10.3389/fpsyt.2022.1057513] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 12/19/2022] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVES As the significance of the early diagnosis of mild cognitive impairment (MCI) has emerged, it is necessary to develop corresponding screening tools with high ecological validity and feasible biomarkers. Virtual reality (VR)-based cognitive assessment program, which is close to the daily life of the older adults, can be suitable screening tools for MCI with ecological validity and accessibility. Meanwhile, dehydroepiandrosterone (DHEA) has been observed at a low concentration in the older adults with dementia or cognitive decline, indicating its potential as a biomarker of MCI. This study aimed to determine the efficacy and usability of a VR cognitive assessment program and salivary DHEA for screening MCI. METHODS The VR cognitive assessment program and the traditional Montreal Cognitive Assessment (MOCA) test were performed on 12 patients with MCI and 108 healthy older adults. The VR program operates in a situation of caring for a grandchild, and evaluates the memory, attention, visuospatial, and executive functions. An analysis of covariance (ANCOVA), a partial correlation analysis, and receiving operating characteristic (ROC) curve analysis were conducted for statistical analysis. RESULTS According to the ANCOVA, no significant difference in MOCA scores was found between the normal and MCI groups (F = 2.36, p = 0.127). However, the VR total score of the MCI group was significantly lower than that of the normal group (F = 8.674, p = 0.004). There was a significant correlation between the MOCA and VR scores in the total and matched subdomain scores. The ROC curve analysis also showed a larger area under the curve (AUC) for the VR test (0.765) than for the MOCA test (0.598), and the sensitivity and specificity of the VR program were 0.833 and 0.722, respectively. Salivary DHEA was correlated with VR total (R 2 = 0.082, p = 0.01) and attention scores (R 2 = 0.086, p = 0.009). CONCLUSION The VR cognitive test was as effective as the traditional MOCA test in the MCI classification and safe enough for older adults to perform, indicating its potential as a diagnostic tool. It has also been shown that salivary DHEA can be used as a biomarker for MCI.
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Affiliation(s)
- Sooah Jang
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea
| | - Sun-Woo Choi
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea
| | - Sang Joon Son
- Department of Psychiatry, Ajou University, Suwon, Gyeonggi-do, Republic of Korea
| | - Jooyoung Oh
- Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.,Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Junghee Ha
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Woo Jung Kim
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea
| | - Hyun Woong Roh
- Department of Psychiatry, Ajou University, Suwon, Gyeonggi-do, Republic of Korea
| | - Keun You Kim
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - San Lee
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.,Department of Psychiatry, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Gyeonggi-do, Republic of Korea
| | - Eunjin Jung
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Woojin Cha
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Heonjoo Chae
- FNIKorea Co., Ltd., Gwacheon, Gyeonggi-do, Republic of Korea
| | - Suzi Kang
- FNIKorea Co., Ltd., Gwacheon, Gyeonggi-do, Republic of Korea
| | - Ji Hye Kwon
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea
| | - In-Young Kim
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea
| | - Ju-Yeal Lee
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea
| | - Hyun Kyung Shin
- Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Jin Sun Ryu
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea.,Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Ryunsup Ahn
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea
| | - Chang Hyung Hong
- Department of Psychiatry, Ajou University, Suwon, Gyeonggi-do, Republic of Korea
| | - Jeong-Ho Seok
- Research Institute of Minds.AI, Co., Ltd., Seoul, Republic of Korea.,Department of Psychiatry, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.,Institute of Behavioral Sciences in Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
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Yan M, Yin H, Meng Q, Wang S, Ding Y, Li G, Wang C, Chen L. A Virtual Supermarket Program for the Screening of Mild Cognitive Impairment in Older Adults: Diagnostic Accuracy Study. JMIR Serious Games 2021; 9:e30919. [PMID: 34870610 PMCID: PMC8686451 DOI: 10.2196/30919] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 08/29/2021] [Accepted: 09/10/2021] [Indexed: 12/12/2022] Open
Abstract
Background Mild cognitive impairment (MCI) is often a precursor of dementia, and patients with MCI develop dementia at a higher rate than healthy older adults. Early detection of cognitive decline at the MCI stage supports better planning of care and interventions. At present, the use of virtual reality (VR) in screening for MCI in older adults is promising, but there is little evidence regarding the use of virtual supermarkets to screen for MCI. Objective The objectives of this study are to validate a VR game–based test, namely, the Virtual Supermarket Program (VSP), for differentiating patients with MCI and healthy controls and to identify cutoff scores for different age levels. Methods Subjects were recruited from several nursing homes and communities in Changchun, China. They were divided into a healthy control group (n=64) and an MCI group (n=62). All subjects were administered the VSP and a series of neuropsychological examinations. The study determined the optimal cutoff, discriminating validity, concurrent validity, and retest reliability of the VSP. We used the area under the receiver operating characteristic curve (AUC) to evaluate the discriminating validity and obtain the optimal cutoff values. Pearson correlation analysis and the intraclass correlation coefficient were used to evaluate the concurrent validity and retest reliability, respectively. Results A cutoff score of 46.4 was optimal for the entire sample, yielding a sensitivity of 85.9% and specificity of 79.0% for differentiating individuals with MCI and healthy controls, and the AUC was 0.870 (95% CI 0.799-0.924). The median index of VSP score was 51.1 (range 42.6-60.0). There was a moderate positive correlation between the VSP total score and Mini-Mental State Examination score (r=0.429, P<.001). There was a strong positive correlation between VSP total score and Montreal Cognitive Assessment score (r=0.645, P<.001). The retest reliability of the VSP was feasible (r=0.588, P=.048). Conclusions The VSP is interesting and feasible for subjects. It shows high sensitivity and specificity for the identification of MCI in older adults, which makes it a promising screening method. The VSP may be generalized to older adults in other countries, although some cultural adaptation may be necessary. Trial Registration Chinese Clinical Trial Registry ChiCTR2000040074; https://www.chictr.org.cn/showprojen.aspx?proj=64639
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Affiliation(s)
- Mingli Yan
- School of Nursing, Jilin University, Changchun, China
| | - Huiru Yin
- School of Nursing, Jilin University, Changchun, China
| | - Qiuyan Meng
- School of Nursing, Jilin University, Changchun, China
| | - Shuo Wang
- School of Nursing, Jilin University, Changchun, China
| | - Yiwen Ding
- School of Nursing, Jilin University, Changchun, China
| | - Guichen Li
- School of Nursing, Jilin University, Changchun, China
| | - Chunyan Wang
- Senior Officials Inpatient Ward, First Hospital of Jilin University, Changchun, China
| | - Li Chen
- School of Nursing, Jilin University, Changchun, China
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