Ziqiang Li

Ziqiang Li

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Ziqiang Li


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 August 2019 in BMC Psychiatry
Verified
Journal Article
Open access
PDF file
MLMadeline Lim
Madeline Lim
ZLZiqiang Li
Ziqiang Li
HXHuiting Xie
Huiting Xie
BTBhing Leet Tan
Bhing Leet Tan
JLJimmy Lee
Jimmy Lee
Despite the rising recognition of personal recovery, there is a lack of research on personal recovery in individuals with psychosis in Singapore. This study aims to evaluate the psychometric properties of the QPR-15 using the CHIME personal recovery framework and to examine its associations with clinical recovery factors. Sixty-six stable outpatients were recruited and assessed at two time points approximately 2 weeks apart. Convergent validity was examined through Spearman correlations with scores on CHIME-related psychological factors: connectedness (Ryff subscale- positive relations with others), hope (Herth Hope Index- abbreviated), identity (Ryff subscale- self-acceptance, Internalized Stigma of Mental Illness- Brief), meaning (World Health Organization Quality of Life Assessment-Brief Form), empowerment (Empowerment Scale). Pearson’s correlation was used to examine the test-retest reliability, while Cronbach’s alpha was used to examine internal consistency. The initial factor structure was evaluated via principal component analysis, Velicer’s minimum average partial (MAP) criteria, parallel analysis, and a scree plot. Spearman correlations and hierarchical multiple linear regression (controlling for age and gender) were employed to examine the association of clinical (symptoms and functioning) and psychological factors with the QPR-15. The QPR-15 demonstrated convergent validity with all CHIME-related psychological factors (rs ranged from 0.472 to 0.687). Internal consistency was excellent (Cronbach’s alpha = 0.934), and test-retest reliability was adequate (r = 0.708). Initial factor structure evaluations revealed a one-factor model. Correlations of clinical factors with the QPR-15 were mostly low (rs ranged from − 0.105 to − 0.544) but significant, except for depressive symptoms (CDSS: rs = − 0.529 to − 0.544), while correlations were moderate for psychological factors. Clinical factors significantly explained 28.3–31.8% of the variance of the QPR-15. Adding psychological factors significantly increased the model variance at baseline (∆ adjusted R2 = 0.369, F change < 0.001) and at time point 2 (∆ adjusted R2 = 0.208, F change < 0.001). Our results provide preliminary evidence that the QPR-15 has adequate psychometric properties in Singapore and encompasses the CHIME personal recovery framework. In addition, our results suggest that clinical recovery and personal recovery are not substitutes for each other but rather are complementary, thereby promoting a more holistic evaluation of recovery in people with psychosis. Implications are discussed.

4 June 2020 in American Journal of Occupational Therapy
Verified
Journal Article
Closed access
PDF file
BTBhing-Leet Tan
Bhing-Leet Tan
MLMadeline Wei Zhen Lim
Madeline Wei Zhen Lim
HXHuiting Xie
Huiting Xie
ZLZiqiang Li
Ziqiang Li
JLJimmy Lee
Jimmy Lee
Importance: The Occupational Self Assessment (OSA) measures two constructs from the Model of Human Occupation: occupational competence and occupational identity. In the field of mental health, the recovery movement has sparked discussions about what constitutes personal, clinical, and functional recovery. However, how occupation-based terminologies are related to the recovery framework is unclear. Objective: To elucidate how domains of recovery and psychological constructs are related to the OSA’s constructs of occupational competence and occupational identity in order to inform occupational therapy practice in the recovery arena. Design: Cross-sectional study. Setting: Outpatient mental health unit. Participants: Sixty-six community-dwelling adults with schizophrenia recruited through convenience sampling. Outcomes and Measures: Participants completed the OSA and clinical, functional, and personal recovery assessments. They also completed five scales that measured psychological constructs of recovery such as hope, resilience, empowerment, internalized stigma, and subjective well-being. Participants also identified up to four OSA items that were priorities for change. Tests of association and multiple regression analyses were conducted to identify predictors of occupational competence and occupational identity. Results: Personal recovery predicted occupational competence, whereas depressive symptoms and hope predicted occupational identity. Functional and clinical recovery did not predict occupational competence. The top three OSA priorities for change were performance items: “managing my finances,” “concentrating on my tasks,” and “taking care of myself.” Conclusions and Relevance: Occupational therapy interventions should not be limited to functional improvement. Instead, they should account for clients’ affective states and seek to instill recovery-oriented psychological states such as hope and efficacy. What This Article Adds: Occupational competence is achieved by enhancing personal states of self-efficacy in fulfilling valued occupations rather than through functional improvement. The top three occupations prioritized for change were performance tasks that were observable by service users and immediate caregivers. Empowering clients to partake in these everyday performance tasks such as finance management, concentrating on tasks, and self-care may pave the way to enhancing occupational competence and identity.

14 August 2021 in Administration and Policy in Mental Health and Mental Health Services Research
Verified
Journal Article
Open access
PDF file
DPDaniel Poremski
Daniel Poremski
JKJonathan Kuek
Jonathan Kuek
YQYuan Qi
Yuan Qi
ZLZiqiang Li
Ziqiang Li
KYKah Lai Yow
Kah Lai Yow
HCHong Choon Chua
Hong Choon Chua
The current study seeks to determine how peer support roles change as peer support specialists’ positions within organizations and departments mature. We followed ten peer support specialists over the course of a year, interviewing them at three points, starting approximately three months after they began working as peer support specialists. We used an inductive process to analyze our data and followed guidelines on the structuring of longitudinal qualitative trajectories to divide the data into watershed moments. Our participants worked in a variety of departments in the hospital, and their service use experiences generally echo those of their service users. Participants appear to pass through four phases over the course of their employment as peers: early beginnings, establishing the role, role narrowing, and role sustainability. Services wishing to integrate new peers must be aware of the time required for integration. Having general job descriptions limited to specifying that peers are expected to use their lived experience to support current service users may lead to uncertainty amongst new and existing staff. Without role clarity, peers may struggle to find their place. Pairing new staff with mentors may limit this burden. As roles consolidate, boundaries may emerge. If these boundaries narrow the role of the PSS, they may no longer find the role appealing. They may then choose other caregiver roles with wider or different spheres of influence. Organizations may benefit by clearly indicating if they expect peer support positions to be static or transitionary.

7 September 2022 in Journal of Personalized Medicine
Verified
Journal Article
Open access
PDF file
JTJing Ling Tay
Jing Ling Tay
ZLZiqiang Li
Ziqiang Li
Kang SimKang Sim
Kang Sim
Aggression risk assessments are vital to prevent injuries and morbidities amongst patients and staff in psychiatric settings. More recent studies have harnessed artificial intelligence (AI) methods such as machine learning algorithms to determine factors associated with aggression in psychiatric treatment settings. In this review, using Cooper’s five-stage review framework, we aimed to evaluate the: (1) predictive accuracy, and (2) clinical variables associated with AI-based aggression risk prediction amongst psychiatric inpatients. Databases including PubMed, Cochrane, Scopus, PsycINFO, CINAHL were searched for relevant articles until April 2022. The eight included studies were independently evaluated using critical appraisal tools for systematic review developed by Joanna Briggs Institute. Most of the studies (87.5%) examined health records in predicting aggression and reported acceptable to excellent accuracy with specific machine learning algorithms employed (area under curve range 0.75–0.87). No particular machine learning algorithm outperformed the others consistently across studies (area under curve range 0.61–0.87). Relevant factors identified with aggression related to demographic and social profile, past aggression, forensic history, other psychiatric history, psychopathology, challenging behaviors and management domains. The limited extant studies have highlighted a potential role for the use of AI methods to clarify factors associated with aggression in psychiatric inpatient treatment settings.

31 March 2020 in Psychiatric Quarterly
Verified
Journal Article
Closed access
PDF file
MLMadeline Lim
Madeline Lim
HXHuiting Xie
Huiting Xie
ZLZiqiang Li
Ziqiang Li
BTBhing Leet Tan
Bhing Leet Tan
JLJimmy Lee
Jimmy Lee