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Davies J, McKenna M, Denner K, Bayley J, Morgan M. The emoji current mood and experience scale: the development and initial validation of an ultra-brief, literacy independent measure of psychological health. J Ment Health 2024; 33:218-226. [PMID: 35535711 DOI: 10.1080/09638237.2022.2069694] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 03/24/2022] [Accepted: 04/14/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND There is increasing interest in measuring wellbeing and mental health in a range of settings and services outside conventional mental health care settings. However, ensuring that measurement does not intrude on the primary service activity whilst promoting inclusion through minimizing literacy demands, requires ultra-brief and easy to use tools. AIMS To develop and test a brief emoji-based tool to assess mental health, wellbeing, resilience and community connection. METHOD In study 1, 672 adults completed an online questionnaire study comprising a new emoji measure and established questionnaires assessing mental health, resilience, community connection and wellbeing. In study 2, 415 participants completed a paper-and-pencil version of the emoji measure, mental health and community connection, with 212 individuals providing data at a second time point. RESULTS Multidimensional scaling revealed a meaningful structure to the emoji measure with validity demonstrated through relationships to existing scales. Stability over time and sensitivity to change were also demonstrated. CONCLUSIONS The emoji-based measure presented here provides an ultra-brief measure of mood and current experience, with minimal literacy demands on participants. Further research is now needed to test the properties and utility of the scale with other participant groups.
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Affiliation(s)
- Jason Davies
- School of Psychology, Faculty of Medicine, Health and Life Science, Vivian Tower, Swansea University, Swansea, SA2 8PP, UK
| | | | | | | | - Matthew Morgan
- School of Psychology, Faculty of Medicine, Health and Life Science, Vivian Tower, Swansea University, Swansea, SA2 8PP, UK
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Liu X, Gao Y, Zhao J, Zhou M, Wan L, Nie G, Wang Y. Reliability of pictorial Longshi Scale for informal caregivers to evaluate the functional independence and disability. Nurs Open 2022; 10:1852-1862. [PMID: 36336801 PMCID: PMC9912417 DOI: 10.1002/nop2.1448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 09/28/2022] [Accepted: 10/11/2022] [Indexed: 11/09/2022] Open
Abstract
AIM The pictorial Longshi Scale was designed to assess patients' functional ability in the Chinese context, which is gradually used by some informal caregivers. However, its reliability compared with healthcare professionals has not been examined. DESIGN A multi-centre cross-sectional study conducted in 24 Chinese hospitals. METHODS We recruited patients undergoing rehabilitation treatment and informal caregiver dyads. Informal caregivers and healthcare professionals evaluated patients' functional ability using the Longshi Scale according to three levels (bedridden, domestic and community). The Kappa coefficient and McNemar-Bowker test were used to examine the consistency and accuracy between the two parallel assessments. RESULTS This study involved 947 patients (mean age: 46.07 ± 11.72 years) and informal caregiver dyads (64.86 ± 12.94 years). Most patients were males (66.3%), while most caregivers were females (60.7%). Over 70% of patients and caregiver dyads had a secondary-school education and lower. Around 90% of caregivers were relatives (spouse, 42.8%; offspring, 20.7%; siblings: 13.3%; parent, 12.0%) of patients. The agreement in sub-levels of the Longshi Scale between caregivers and healthcare professionals ranges from 73%-89%, and the corresponding Kappa coefficients range from 0.504-0.786. Caregivers were more likely to assign fewer patients to the bedridden group and more to the domestic group than healthcare professionals. The subgroup analysis by education level indicated that the difference in assigning patients into three degrees of functional disability was only significant in those with primary-school education, while non-significant in those with secondary-school education and higher. CONCLUSION The evaluation outcomes of functional ability using the Longshi Scale are similar between informal caregivers and healthcare professionals. However, informal caregivers' education level is a dominant factor in affecting the assessment accuracy compared with healthcare professionals. Informal caregivers with a secondary-school education and higher are supported to evaluate patients' functional ability independently.
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Affiliation(s)
- Xiangxiang Liu
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Yan Gao
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Jingpu Zhao
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Mingchao Zhou
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Li Wan
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Guohui Nie
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
| | - Yulong Wang
- Department of RehabilitationThe First Affiliated Hospital of Shenzhen University, Shenzhen Second People's HospitalShenzhenChina
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Kaggwa MM, Najjuka SM, Bongomin F, Mamun MA, Griffiths MD. Prevalence of depression in Uganda: A systematic review and meta-analysis. PLoS One 2022; 17:e0276552. [PMID: 36264962 PMCID: PMC9584512 DOI: 10.1371/journal.pone.0276552] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 10/09/2022] [Indexed: 11/07/2022] Open
Abstract
BACKGROUND Depression is one of the most studied mental health disorders, with varying prevalence rates reported across study populations in Uganda. A systematic review and meta-analysis was carried out to determine the pooled prevalence of depression and the prevalence of depression across different study populations in the country. METHODS Papers for the review were retrieved from PubMed, Scopus, PsycINFO, African Journal OnLine, and Google Scholar databases. All included papers were observational studies regarding depression prevalence in Uganda, published before September 2021. The Joanna Briggs Institute Checklist for Prevalence Studies was used to evaluate the risk of bias and quality of the included papers, and depression pooled prevalence was determined using a random-effects meta-analysis. RESULTS A total of 127 studies comprising 123,859 individuals were identified. Most studies were conducted among individuals living with HIV (n = 43; 33.9%), and the most frequently used instrument for assessing depression was the Depression sub-section of the Hopkins Symptom Checklist (n = 34). The pooled prevalence of depression was 30.2% (95% confidence interval [CI]: 26.7-34.1, I2 = 99.80, p<0.001). The prevalence of depression was higher during the COVID-19 pandemic than during the pre-pandemic period (48.1% vs. 29.3%, p = 0.021). Refugees had the highest prevalence of depression (67.6%; eight studies), followed by war victims (36.0%; 12 studies), individuals living with HIV (28.2%; 43 studies), postpartum or pregnant mothers (26.9%; seven studies), university students (26.9%; four studies), children and adolescents (23.6%; 10 studies), and caregivers of patients (18.5%; six studies). LIMITATION Significantly high levels of heterogeneity among the studies included. CONCLUSION Almost one in three individuals in Uganda has depression, with the refugee population being disproportionately affected. Targeted models for depression screening and management across various populations across the country are recommended. TRIAL REGISTRATION Protocol registered with PROSPERO (CRD42022310122).
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Affiliation(s)
- Mark Mohan Kaggwa
- Department of Psychiatry, Mbarara University of Science & Technology, Mbarara, Uganda
- African Centre for Suicide Prevention and Research, Mbarara, Uganda
- Department of Psychiatry and Behavioural Neurosciences, Forensic Psychiatry Program, McMaster University, Hamilton, Ontario, Canada
| | - Sarah Maria Najjuka
- School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda
| | - Felix Bongomin
- Department of Medical Microbiology & Immunology, Faculty of Medicine, Gulu University, Gulu, Uganda
| | - Mohammed A. Mamun
- CHINTA Research Bangladesh, Savar, Dhaka, Bangladesh
- Department of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh
| | - Mark D. Griffiths
- Psychology Department, Nottingham Trent University, Nottingham, United Kingdom
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Stanton AM, O'Cleirigh C, Knight L, Davey DLJ, Myer L, Joska JA, Mayer KH, Bekker L, Psaros C. The importance of assessing and addressing mental health barriers to PrEP use during pregnancy and postpartum in sub-Saharan Africa: state of the science and research priorities. J Int AIDS Soc 2022; 25:e26026. [PMID: 36251124 PMCID: PMC9575939 DOI: 10.1002/jia2.26026] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 09/28/2022] [Indexed: 11/06/2022] Open
Abstract
Introduction Pregnant and postpartum women (PPW) in sub‐Saharan Africa are at disproportionately high risk of HIV infection compared to non‐pregnant women. When used consistently, pre‐exposure prophylaxis (PrEP) can prevent HIV acquisition and transmission to the foetus or infant during these critical periods. Recent studies have demonstrated associations between mental health challenges (e.g. depression and traumatic stress associated with intimate partner violence) and decreased PrEP adherence and persistence, particularly among adolescents, younger women and women in the postpartum period. However, mental health is not currently a major focus of PrEP implementation research and programme planning for PPW. Discussion PrEP implementation programmes for PPW need to assess and address mental health barriers to consistent PrEP use to ensure effectiveness and sustainability in routine care. We highlight three key research priorities that will support PrEP adherence and persistence: (1) include mental health screening tools in PrEP implementation research with PPW, both to assess the feasibility of integrating these tools into routine antenatal and postpartum care and to ensure that limited resources are directed towards women whose symptoms may interfere most with PrEP use; (2) identify cross‐cutting, transdiagnostic psychological mechanisms that affect consistent PrEP use during these periods and can realistically be targeted with intervention in resource‐limited settings; and (3) develop/adapt and test interventions that target those underlying mechanisms, leveraging strategies from existing interventions that have successfully mitigated mental health barriers to antiretroviral therapy use among people with HIV. Conclusions For PPW, implementation of PrEP should be guided by a robust understanding of the unique psychological difficulties that may act as barriers to uptake, adherence and persistence (i.e. sustained adherence over time). We strongly encourage PrEP implementation research in PPW to incorporate validated mental health screening tools and ultimately treatment in routine antenatal and postnatal care, and we stress the potential public health benefits of identifying women who face mental health barriers to PrEP use.
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Affiliation(s)
- Amelia M. Stanton
- Department of Psychological and Brain SciencesBoston UniversityBostonMassachusettsUSA,Massachusetts General HospitalBostonMassachusettsUSA,Fenway HealthBostonMassachusettsUSA
| | - Conall O'Cleirigh
- Massachusetts General HospitalBostonMassachusettsUSA,Fenway HealthBostonMassachusettsUSA,Harvard Medical SchoolBostonMassachusettsUSA
| | - Lucia Knight
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
| | - Dvora L. Joseph Davey
- School of Public HealthUniversity of Cape TownCape TownSouth Africa,Division of Infectious Diseases, Geffen School of MedicineUniversity of California Los AngelesLos AngelesCaliforniaUSA
| | - Landon Myer
- School of Public HealthUniversity of Cape TownCape TownSouth Africa
| | - John A. Joska
- HIV Mental Health Research Unit, Division of Neuropsychiatry, Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa
| | - Kenneth H. Mayer
- Fenway HealthBostonMassachusettsUSA,Harvard Medical SchoolBostonMassachusettsUSA,HIV Mental Health Research Unit, Division of Neuropsychiatry, Department of Psychiatry and Mental HealthUniversity of Cape TownCape TownSouth Africa,Beth Israel Deaconess Medical CenterBostonMassachusettsUSA
| | | | - Christina Psaros
- Massachusetts General HospitalBostonMassachusettsUSA,Harvard Medical SchoolBostonMassachusettsUSA
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Mwesiga EK, Nakasujja N, Nakku J, Nanyonga A, Gumikiriza JL, Bangirana P, Akena D, Musisi S. One year prevalence of psychotic disorders among first treatment contact patients at the National Psychiatric Referral and Teaching Hospital in Uganda. PLoS One 2020; 15:e0218843. [PMID: 31995567 PMCID: PMC6988969 DOI: 10.1371/journal.pone.0218843] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 01/07/2020] [Indexed: 02/06/2023] Open
Abstract
Introduction Hospital based studies for psychotic disorders are scarce in low and middle income countries. This may impact on development of intervention programs. Objective We aimed to determine the burden of psychotic disorders among first treatment contact patients at the national psychiatric referral hospital in Uganda. Methods A retrospective patient chart-file review was carried out in March 2019 for all patients presenting to the hospital for the first time in the previous year. Patients were categorised into those with and without psychotic disorders. We collected sociodemographic data on age, gender, occupation, level of education, ethnicity, religion and home district. We determined the one year prevalence of psychotic disorders among first treatment contact patients. Using logistic regression models, we also determined the association between psychotic disorders and various exposure variables among first treatment contact patients. Results In 2018, 63% (95% CI: 60.2–65.1) of all first time contact patients had a psychosis related diagnosis. Among the patients with psychotic disorders, the median age was 29 years (IQR 24–36). Most of the patients were male (62.8%) and unemployed (63.1%). After adjusting for patients’ residence, psychotic disorders were found to be more prevalent among the female gender [OR 1.58 (CI1.46–1.72)] and those of Pentecostal faith [OR 1.25 (CI 1.10–1.42)]. Conclusion Among first treatment contact patients in Uganda, there is a large burden of psychotic disorders. The burden was more prevalent among females as well as people of Pentecostal faith who seemed to use their church for faith-based healing. Incidence studies are warranted to determine if this phenomenon is replicated at illness onset.
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Affiliation(s)
- Emmanuel Kiiza Mwesiga
- Department of Psychiatry, College of Health Sciences, Makerere University, Mulago, Uganda
- NURTURE Mental Health subgroup, College of Health Sciences, Makerere University, Mulago, Uganda
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- * E-mail:
| | - Noeline Nakasujja
- Department of Psychiatry, College of Health Sciences, Makerere University, Mulago, Uganda
- NURTURE Mental Health subgroup, College of Health Sciences, Makerere University, Mulago, Uganda
| | - Juliet Nakku
- National Psychiatric Teaching and Referral Hospital of Uganda, Kampala, Uganda
| | - Annet Nanyonga
- National Psychiatric Teaching and Referral Hospital of Uganda, Kampala, Uganda
| | - Joy Louise Gumikiriza
- Department of Psychiatry, College of Health Sciences, Makerere University, Mulago, Uganda
- NURTURE Mental Health subgroup, College of Health Sciences, Makerere University, Mulago, Uganda
| | - Paul Bangirana
- Department of Psychiatry, College of Health Sciences, Makerere University, Mulago, Uganda
- NURTURE Mental Health subgroup, College of Health Sciences, Makerere University, Mulago, Uganda
| | - Dickens Akena
- Department of Psychiatry, College of Health Sciences, Makerere University, Mulago, Uganda
- NURTURE Mental Health subgroup, College of Health Sciences, Makerere University, Mulago, Uganda
| | - Seggane Musisi
- Department of Psychiatry, College of Health Sciences, Makerere University, Mulago, Uganda
- NURTURE Mental Health subgroup, College of Health Sciences, Makerere University, Mulago, Uganda
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Wang Y, Guo S, Zheng J, Wang QM, Zhang Y, Liang Z, Zhang L, Yang Y, Zhai H, Chen M, Wang Y, Li Y, Lyu X, Li X, Geng H, Zhu X, Yu F, Yuan J, Zhou J, Liu F, Luo H, Long J, Chen W, Li H, Fu G, Zhou C, Zhang J, Wang Y, Huo Y, Ke X, Zeng Y, Liu J, Xing H, Xiao H, Jiao R, Wu M, Tang Q, Luo X. User testing of the psychometric properties of pictorial-based disability assessment Longshi Scale by healthcare professionals and non-professionals: a Chinese study in Shenzhen. Clin Rehabil 2019; 33:1479-1491. [PMID: 31081365 DOI: 10.1177/0269215519846543] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE The aim of this study was to validate a novel pictorial-based Longshi Scale for evaluating a patient's disability by healthcare professionals and non-professionals. DESIGN Prospective study. SETTING Rehabilitation departments from a grade A, class 3 public hospital, a grade B, class 2 public hospital, and a private hospital and seven community rehabilitation centers. SUBJECTS A total of 618 patients and 251 patients with functional disabilities were recruited in a two-phase study, respectively. MAIN MEASURES Outcome measure: pictorial scale of activities of daily living (ADLs, Longshi Scale). Reference measure: Barthel Index. The Spearman correlation coefficient was used to analyze the validity of Longshi Scale against Barthel Index. RESULTS In phase 1 study, from March 2016 to August 2016, the results demonstrated that the Longshi Scale was both reliable and valid (intraclass correlation coefficient based on two-way random effect (ICC2,1) = 0.877-0.974 for intra-rater reliability; ICC2,1 = 0.928-0.979; κ = 0.679-1.000 for inter-rater reliability; intraclass correlation coefficient based on one-way random effect (ICC1,1) = 0.921-0.984 for test-retest reliability and Spearman correlation coefficient = 0.836-0.899). In the second phase, in March 2018, results further demonstrated that the Longshi Scale had good inter-rater and intra-rater reliability among healthcare professionals and non-professionals including therapists, interns, and personal care aids (ICC1,1 = 0.822-0.882 on Day 1; ICC1,1 = 0.842-0.899 on Day 7 for inter-rater reliability). In addition, the Longshi Scale decreased assessment time significantly, compared with the Barthel Index assessment (P < 0.01). CONCLUSION The Longshi Scale could potentially provide an efficient way for healthcare professionals and non-professionals who may have minimal training to assess the ADLs of functionally disabled patients.
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Affiliation(s)
- Yulong Wang
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China.,2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Shanshan Guo
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Jiejiao Zheng
- 3 Department of Rehabilitation Medicine, Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Qing Mei Wang
- 4 Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, A Teaching Affiliate of Harvard Medical School, Charlestown, MA, USA
| | - Yuling Zhang
- 4 Stroke Biological Recovery Laboratory, Spaulding Rehabilitation Hospital, A Teaching Affiliate of Harvard Medical School, Charlestown, MA, USA.,5 School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai, China
| | - Zhenwen Liang
- 6 College of Rehabilitation Sciences, Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Lihai Zhang
- 7 Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | - Yi Yang
- 7 Department of Infrastructure Engineering, The University of Melbourne, Melbourne, VIC, Australia
| | - Haohan Zhai
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Miaoling Chen
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Yuzhen Wang
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Yawei Li
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Xing Lyu
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Xuhui Li
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Hongli Geng
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Xiaolong Zhu
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Fei Yu
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Jian Yuan
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Jing Zhou
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Fang Liu
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Haoming Luo
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Jianjun Long
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Wensheng Chen
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Hua Li
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Guanqi Fu
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Chunxiu Zhou
- 1 Department of Rehabilitation, Shenzhen Second People's Hospital, The First Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Jiehong Zhang
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Yao Wang
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Yongyang Huo
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Xiujun Ke
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Yuanyuan Zeng
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Jiayu Liu
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Hailan Xing
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China
| | - Huixiang Xiao
- 8 Department of Rehabilitation, Shenzhen Nanshan People's Hospital, 6th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, China
| | - Rui Jiao
- 9 Rehabilitation Center, The Second Affiliated Hospital, Shenzhen University School of Medicine, Shenzhen, China
| | - Miao Wu
- 10 Acupuncture and Moxibustion Rehabilitation Hospital, Shenzhen Bao'an Traditional Chinese Medicine Hospital Group, Shenzhen, China
| | - Qiang Tang
- 11 Dongguan Humen Hospital, Dongguan, China
| | - Xun Luo
- 2 Shenzhen Dapeng New District Nan'ao People's Hospital, Shenzhen, China.,12 Kerry Rehabilitation Medicine Research Institute, Shenzhen, China.,13 Shenzhen Sanming Project Group, Spaulding Rehabilitation Hospital, A Teaching Affiliate of Harvard Medical School, Charlestown, MA, USA
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