Chiann Ni Thiam

Dr. Chiann Ni Thiam

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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2 August 2023 in PLOS ONE
Verified
Journal Article
Open access
PDF file
SWSafiyyah Nurnajah Wan
Safiyyah Nurnajah Wan
CTChiann Ni Thiam
Chiann Ni Thiam
QAQi Xuan Ang
Qi Xuan Ang
JEJulia Engkasan
Julia Engkasan
TOTerence Ong
Terence Ong
Hospitalization has been associated with the development of sarcopenia. This study aimed to examine the new incidences of hospital sarcopenia, associated risk factors and health outcomes, as defined by internationally recognized diagnostic criteria in hospitalized older people. Pre-defined search terms were run through five databases. Six studies that assessed sarcopenia on two separate time points during hospitalization on older inpatients were included. Prevalence of sarcopenia varied from 14.1% to 55% depending on diagnostic criteria and cut-off points used. New sarcopenia occurred between 12% to 38.7% patients following hospitalization. Risk factors were older age, longer duration of bed rest, lower baseline body mass index, cognitive impairment and activities of daily living disability. None of the studies reported health outcomes associated with newly developed sarcopenia in hospital.

9 August 2025 in Annals of Medicine
Verified
Journal Article
Open access
MNMohamad Nabil Mohd Noor
Mohamad Nabil Mohd Noor
JCJessica Grace Cockburn
Jessica Grace Cockburn
CFChan Choong Foong
Chan Choong Foong
CTChiann Ni Thiam
Chiann Ni Thiam
YAYang Faridah Abdul Aziz
Yang Faridah Abdul Aziz
KVKumutha Malar Vellasamy
Kumutha Malar Vellasamy
Feedback literacy is critical for medical students to develop their competencies. However, a conceptualisation or framework of feedback literacy specific to the medical education context has yet to be developed. A comprehensive framework that addresses diverse feedback sources, dynamic environments, and the prioritisation of patient safety can guide the development of feedback literacy in medical students. The present study explored and triangulated stakeholder perspectives (medical students, medical educators and patients) on medical student feedback literacy through semi-structured interviews. This information was then used to develop a feedback literacy framework. Data collection took place over approximately six months, from August 2023 to January 2024. Nine focus group discussions and 26 individual interviews were conducted, involving 38 medical students from 14 medical schools, 15 medical educators from six medical schools and 11 patients from four healthcare facilities. The resulting transcripts were thematically analysed, and stakeholder perspectives were triangulated to identify emerging patterns. A feedback literacy framework for medical students was then designed based on the coded themes. The framework comprises seven elements, including a fundamental appreciation of feedback, preparation for and engagement in the process, analysis and evaluation of information and the need for emotional regulation to effectively internalise feedback and become safe, competent doctors. This study builds on existing frameworks to reveal novel elements of feedback literacy. Patient safety and reflective practice emerged as new components of feedback literacy exclusive to medical students, while emotional regulation and the use of multiple feedback sources were adapted to fit the medical education context. Thus, this framework addresses an identified gap and advances the conceptualisation of feedback literacy to suit medical students better.

8 March 2021 in Geriatrics
Verified
Journal Article
Open access
PDF file
CTChiann Ni Thiam
Chiann Ni Thiam
KHKejal Hasmukharay
Kejal Hasmukharay
WLWan Chieh Lim
Wan Chieh Lim
CNChai Chen Ng
Chai Chen Ng
Gordon PangGordon Pang
Gordon Pang
TOTerence Ong
Terence Ong
(1) Background: Older people with COVID-19 infection report worse clinical outcomes. There is a paucity of local data and this study aimed to describe the clinical progression of older people admitted to a university hospital in Malaysia with COVID-19 infection. (2) Methods: Older people (≥60 years) admitted with COVID-19 infection confirmed with RT-PCR from 27 February 2020–25 May 2020 were included in this study. Data on patient characteristics, hospital treatment, and inpatient outcomes were collected via hospital-held electronic medical records. Analysis was done to describe the cohort and identify factors associated with inpatient mortality. (3) Results: 26 participants were included (mean age 76.2 years, female 57.7%). All had at least one comorbid condition and half were frail. About 19.2% had non-respiratory (atypical) symptoms; 23.1% had a severe disease that required intensive care unit monitoring; 46.2% were given COVID-19 targeted therapy. Inpatient mortality and overall complication rates were 23.1% and 42.3%, respectively. Delirium on presentation and lower Ct-value were associated with mortality. (4) Conclusions: Older people with COVID-19 infection have severe infection and poor hospital outcomes. Vigilant hospital care is necessary to address their multimorbidity and frailty, along with appropriate treatment for their infection.

2 August 2021 in Current Gerontology and Geriatrics Research
Verified
Journal Article
Open access
PDF file
CTChiann Ni Thiam
Chiann Ni Thiam
COChin Yik Ooi
Chin Yik Ooi
YSYin Kar Seah
Yin Kar Seah
Deik-Roy ChuanDeik-Roy Chuan
Deik-Roy Chuan
ILIrene Looi
Irene Looi
ACAlan Swee Hock Ch’nG
Alan Swee Hock Ch’nG
Background. Frailty potentially influences clinicians’ decision making on treatment provided they can select the appropriate assessment tools. This study aims to investigate the difference between the FRAIL scale and the Clinical Frailty Scale (CFS) in assessing frailty among community-dwelling older adults attending the General Medical Clinic (GMC) in Seberang Jaya Hospital, Penang, Malaysia. Methods. The medical records of 95 older patients (age ≥ 65) who attended the GMC from 16 December 2019 to 10 January 2020 were reviewed. Frailty was identified using the FRAIL scale and the CFS. Patient characteristics were investigated for their association with frailty and their difference in the prevalence of frailty by the FRAIL scale and CFS. Results. The CFS identified nonsignificant higher prevalence of frailty compared to the FRAIL scale (21/95; 22.1% vs. 17/95; 17.9%, ratio of prevalence = 1.235, ). Minimal agreement was found between the FRAIL scale and the CFS (Kappa = 0.272, ). Three out of 5 components of the FRAIL scale (resistance, ambulation, and loss of weight) were associated with frailty by the CFS. Higher prevalence of frailty was identified by the CFS in those above 70 years of age. The FRAIL scale identified more patients with frailty in ischaemic heart disease patients. Conclusion. Patient characteristics influenced the choice of the frailty assessment tool. The FRAIL scale and the CFS may complement each other in providing optimized care to older patients who attended the GMC.