Lin Siew Chong

Email Address
winniec@nus.edu.sg


Organizational Units
Organizational Unit
Organizational Unit
MEDICINE
dept

Publication Search Results

Now showing 1 - 2 of 2
  • Publication
    Co-Designing Technology for Aging in Place: A Systematic Review
    (Oxford University Press (OUP), 2021-10-01) Sumner, J; Chong, LS; Bundele, A; Wei Lim, Y; Assoc Prof Yee Wei Lim; MEDICINE; SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
    Background and Objectives: There is a growing interest to involve older adults in the co-design of technology to maintain their well-being and independence. What remains unknown is whether the beneficial effects of co-designed solutions are greater than those reported for non co-designed solutions. The aim of this study was to evaluate the effects and experiences of co-designed technology that support older adults to age in place. Research Design and Methods: We conducted a systematic review to (a) investigate the health and well-being outcomes of co-designed technology for older adults (≥60 years), (b) identify co-design approaches and contexts where they are applied, and (c) identify barriers and facilitators of the co-design process with older adults. Searches were conducted in MEDLINE, EMBASE, CINAHL, Science Citation Index (Web of Science), Scopus, OpenGrey, and Business Source Premiere. Results: We identified 14,649 articles and included 34 projects. Four projects reported health and well-being outcomes; the effects were inconsistent. Co-design processes varied greatly and in their intensity of older adult involvement. Common facilitators of and barriers to co-design included the building of relationships between stakeholders, stakeholder knowledge of problems and solutions, and expertise in the co-design methodology. Discussion and Implications: The effect of co-designed technology on health and well-being was rarely studied and it was difficult to ascertain its impact. Future co-design efforts need to address barriers unique to older adults. Evaluation of the impact of co-designed technologies is needed and standardization of the definition of co-design would be helpful to researchers and designers.
  • Publication
    Factors and experiences associated with unscheduled 30-day hospital readmission: A mixed method study.
    (Academy of Medicine, Singapore, 2021-10) Mukhopadhyay, Amartya; Mohankumar, Bhuvaneshwari; Chong, Lin Siew; Hildon, Zoe JL; Tai, Bee Choo; Quek, Swee Chye; Prof Swee Chye Quek; MEDICINE; DEAN'S OFFICE (SSH SCH OF PUBLIC HEALTH); SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH; PAEDIATRICS
    INTRODUCTION: Analysis of risk factors can pave the way for reducing unscheduled hospital readmissions and improve resource utilisation. METHODS: This was a concurrent nested, mixed method study. Factors associated with patients readmitted within 30 days between 2011 and 2015 at the National University Hospital, Singapore (N=104,496) were examined. Fifty patients were sampled in 2016 to inform an embedded qualitative study. Narrative interviews explored the periods of readmissions and related experiences, contrasted against those of non-readmitted patients. RESULTS: Neoplastic disease (odds ratio [OR] 1.91, 95% confidence interval [CI] 1.70-2.15), number of discharged medications (5 to 10 medications OR 1.21, 95% CI 1.14-1.29; ≥11 medications OR 1.80, 95% CI 1.66-1.95) and length of stay >7 days (OR 1.46, 95% CI 1.36-1.58) were most significantly associated with readmissions. Other factors including number of surgical operations, subvention class, number of emergency department visits in the previous year, hospital bill size, gender, age, Charlson comorbidity index and ethnicity were also independently associated with hospital readmissions. Although readmitted and non-readmitted patients shared some common experiences, they reported different psychological reactions to their illnesses and viewed hospital care differently. Negative emotions, feeling of being left out by the healthcare team and perception of ineffective or inappropriate treatment were expressed by readmitted patients. CONCLUSION: Patient, hospital and system-related factors were associated with readmissions, which may allow early identification of at-risk patients. Qualitative analysis suggested several areas of improvement in care including greater empowerment and involvement of patients in care and decision making.