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Background The impact of lockdown measures can be widespread, affecting both clinical and psychosocial aspects of health. This study aims to assess changes in health services access, self‐care, behavioural, and psychological impact of COVID‐19 and partial lockdown amongst diabetes patients in Singapore. Methods We conducted a cross‐sectional online survey amongst people with diabetes with the Diabetes Health Profile‐18 (DHP‐18). Hierarchical regression analyses were performed for each DHP‐18 subscale (Psychological Distress, Disinhibited Eating and Barriers to Activity) as dependent variables in separate models. Results Among 301 respondents, 45.2% were women, 67.1% of Chinese ethnicity, 24.2% were aged 40 to 49 years, 68.4% have Type 2 diabetes and 42.2% on oral medications alone. During the pandemic and the lockdown, nearly all respondents were able to receive care safely from the clinics they attend (94%) and obtain their medications and diabetes equipment and supplies (97%) when needed. Respondents reported less frequent engagement in physical activity (38%), checking of blood pressure (29%) and blood glucose (22%). Previous diagnosis of mental health conditions (β = 9.33, P = .043), Type 1 diabetes (β = 12.92, P = .023), number of diabetes‐related comorbidities (β = 3.16, P = .007) and Indian ethnicity (β = 6.65, P = .034) were associated with higher psychological distress. Comorbidities were associated with higher disinhibited eating (β = 2.49, P = .014) while ability to reach their doctor despite not going to the clinic is negatively associated with psychological distress (β = −9.50 P = .002) and barriers to activity (β = −7.53, P = .007). Conclusion Health services access were minimally affected, but COVID‐19 and lockdown had mixed impacts on self‐care and management behaviours. Greater clinical care and attention should be provided to people with diabetes with multiple comorbidities and previous mental health disorders during the pandemic and lockdown.

Background The COVID-19 pandemic has resulted in the closure or partial closure of international borders in almost all countries. Here, we investigate the efficacy of imported case detection considering quarantine length and different testing measures for travellers on arrival. Methods We examine eight broad border control strategies from utilizing quarantine alone, pre-testing, entry and exit testing, and testing during quarantine. In comparing the efficacy of these strategies, we calculate the probability of detecting travellers who have been infected up to 2 weeks pre-departure according to their estimated incubation and infectious period. We estimate the number of undetected infected travellers permitted entry for these strategies across a prevalence range of 0.1–2% per million travellers. Results At 14-day quarantine, on average 2.2% (range: 0.5–8.2%) of imported infections are missed across the strategies, leading to 22 (5–82) imported cases at 0.1% prevalence per million travellers, increasing up to 430 (106–1641) at 2%. The strategy utilizing exit testing results in 3.9% (3.1–4.9%) of imported cases being missed at 7-day quarantine, down to 0.4% (0.3–0.7%) at 21-day quarantine, and the introduction of daily testing, as the most risk averse strategy, reduces the proportion further to 2.5–4.2% at day 7 and 0.1–0.2% at day 21 dependent on the tests used. Rapid antigen testing every 3 days in quarantine leads to 3% being missed at 7 days and 0.7% at 14 days, which is comparable to PCR testing with a 24-hour turnaround. Conclusions Mandatory testing, at a minimal of pre-testing and on arrival, is strongly recommended where the length of quarantining should then be determined by the destination country’s level of risk averseness, pandemic preparedness and origin of travellers. Repeated testing during quarantining should also be utilized to mitigate case importation risk and reduce the quarantining duration required.

In Southeast Asia, cervical cancer is the second most common cancer in women. Low coverage for cervical cancer screening (CCS) becomes a roadblock to disease detection and treatment. Existing reviews on CCS have limited insights into the barriers and facilitators for SEA. Hence, this study aims to identify key barriers and facilitators among women living in SEA. A systematic literature review was conducted on Pubmed, Embase, PsycINFO, CINAHL, and SCOPUS. Primary qualitative and quantitative studies published in English that reported barriers and facilitators to CCS were included. The Mix Methods Appraisal Tool was used for the quality assessment of the included studies. Among the 93 included studies, pap smears (73.1%) were the most common screening modality. A majority of the studies were from Malaysia (35.5%). No studies were from Timor-Leste and the Philippines. The most common barriers were embarrassment (number of articles, n = 33), time constraints (n = 27), and poor knowledge of screening (n = 27). The most common facilitators were related to age (n = 21), receiving advice from healthcare workers (n = 17), and education status (n = 11). Findings from this review may inform health policy makers in developing effective cervical cancer screening programs in SEA countries.

Purpose The 15- and 10-item short forms of the Singapore Caregiver Quality of Life Scale (SCQOLS-15 and SCQOLS-10) were recently developed as a quick assessment of caregiver quality of life. Reference values describing the distribution of the total and domain scores are available for the full-length version, but they are not yet available for the short forms. This study aimed to estimate the reference values for the short forms. Methods Data from a cross-sectional survey of 612 family caregivers of patients with advanced cancer in Singapore were fitted in quantile regression models. Percentiles were estimated by regressing the short forms’ scores on caregiver characteristics. Classification by the reference values for the short forms and the full-length version were compared and agreement was evaluated. Results The caregiver’s role in caring for the patient and the patient’s performance status were associated with the percentiles of the total scores and most domain scores (each Bonferroni-adjusted p-value, PB, B B Conclusion Reference values for the SCQOLS-15 and SCQOLS-10 were estimated in relation to caregiver characteristics to facilitate interpretation of the short form scores.

Background This study aimed to evaluate the cost-effectiveness of a breast cancer screening programme that incorporates genetic testing using breast cancer associated single nucleotide polymorphisms (SNPs), against the current biennial mammogram-only screening programme to aid in its implementation into the current programme in Singapore. Methods A Markov model was used to compare the costs and health outcomes of the current screening programme, against a polygenic risk-tailored screening programme, which can advise a long-term screening strategy depending on the individual’s polygenic risk. The model took the perspective of the healthcare system, with a time horizon of 40 years, following women from the age of 35 to 74. Epidemiological and cost data were taken from Asian studies, and an annual discount rate of 3% was used. The model outcome was the incremental cost-effectiveness ratio (ICER), calculated from the difference in costs per quality-adjusted life year (QALY). Scenarios with varying risk thresholds for each polygenic risk group were examined. One-way and probabilistic sensitivity analyses were performed to assess parameter uncertainty. Results The ICER for a polygenic risk-tailored breast cancer screening programme, compared with the current biennial mammogram-only screening programme, was − 3713.80 SGD/QALY, with incremental costs 0. The scenario analysis of different polygenic risk cutoffs showed that the ICERs remain negative, with all ICERs falling within the south-east quadrant of the cost-effectiveness plane, indicating that tailored screening is more cost effective than mammogram-only screening, with lower costs and higher QALYs to be gained. This suggests that a polygenic risk-tailored breast cancer screening programme is cost effective, entailing lower cost than the current mammogram-only programme, while causing no additional harm to women. Conclusion Results from this cost-effectiveness analysis show that polygenic risk-tailored screening is cost effective with an ICER of − 3713.80 SGD/QALY. Tailored screening remains cost effective even across varying percentile cutoffs for each risk group. While the results look promising for incorporating polygenic risk into the current breast cancer screening programme, further studies should be conducted to address various limitations.

Background The impact of lockdown measures can be widespread, affecting both clinical and psychosocial aspects of health. This study aims to assess changes in health services access, diabetes self-care, behavioral and psychological impact of COVID-19 and partial lockdown in Singapore. Methods We conducted a cross-sectional online survey amongst people with diabetes with the Diabetes Health Profile-18 (DHP-18). Hierarchical regression analyses were performed for each DHP-18 subscale (Psychological Distress, Disinhibited Eating and Barriers to Activity) as dependent variables in separate models. Results Among 301 respondents, 45.2% were women, majority were ethnic Chinese (67.1%), aged 40 to 49 years (24.2%), have Type 2 diabetes (68.4%) and on oral medications (42.2%). During the lockdown, nearly all respondents were able to obtain their medications, supplies (94%) and contact their doctors (97%) when needed. Respondents reported less physical activity (38%), checking of blood pressure (29%) and blood glucose (22%). Previous diagnosis of mental health conditions (β=11.44, p= 0.017), diabetes-related comorbidities (β= 3.98, p= 0.001) and Indian ethnicity (β= 7.73, p= 0.018) were significantly associated with higher psychological distress. Comorbidities were associated with higher disinhibited eating (β= 2.71, p= 0.007) while mental health condition was associated with greater barriers to activities (β= 9.63, p= 0.033). Conclusion Health services access were minimally affected but COVID-19 and lockdown had mixed impact on self-care and management behaviors. Greater clinical care and attention should be provided to people with diabetes with greater number of comorbidities and previous mental health disorders during the pandemic and lockdown.

The Singapore government implemented multiple restrictive measures as the novel coronavirus infection (COVID-19) spread through the community, thereby affecting the support service of cancer-related social service agencies (cancer-SSAs). We are interested to understand how Singapore's cancer-SSAs utilized the social media platform Facebook to overcome the restrictions which were introduced due to COVID-19. Facebook posts from two prominent cancer-SSAs 365 Cancer Prevention Society (365CPS) and Singapore Cancer Society (SCS) between comparable periods in 2019 and 2020 were extracted. These posts were categorized using a classification scheme which was specifically developed by two coders with adequate intercoder reliability. Statistical analyses were performed to determine if there was a significant difference in the frequency of posts between 2019 and 2020, and across three specific periods in 2020. Results indicate that 365CPS appears to have adapted to the pandemic by increasing their posting frequency on Facebook in 2020, but the same was not evident for SCS. However, both SSAs tweaked their social media outreach strategy in line with social distancing measures, publishing posts detailing activities that beneficiaries can participate from home such as healthy recipes and virtual events. SSAs can scale up their efforts to achieve a higher level of health promotion and support for their beneficiaries. Further qualitative studies are required to ascertain the impact of COVID-19 from the perspective of beneficiaries and validate the classification scheme which was developed in this study. The classification scheme could be used in ascertaining the quality of social media communication between public/private support groups and patients.

BACKGROUND During the coronavirus disease 2019 (COVID-19) pandemic, social service agencies (SSAs) play a crucial role in supporting renal patients, who are particularly vulnerable to infections. Social media platforms such as Facebook, serves as an effective medium for these SSAs to disseminate information. OBJECTIVE Content analysis of the SSAs’ Facebook posts can provide insights on whether Facebook has been well-utilized during the COVID-19 pandemic and enable SSAs to improve their social media use in future pandemics. This study aimed to compare renal-related SSAs’ Facebook post content before and during the COVID-19 pandemic. METHODS Facebook posts of the National Kidney Foundation (NKF), Kidney Dialysis Foundation (KDF), and Muslim Kidney Action Association (MKAC), made during the pre-COVID-19 period (January 23, 2019 to June 2, 2019) and the peri-COVID-19 period (January 23, 2020 to June 1, 2020) were extracted. A classification scheme was developed by two coders with themes derived inductively and deductively. Each Facebook post was assigned with a theme. RESULTS Analysis indicate that the number of Facebook posts increased from 115 in the pre-COVID-19 period to 293 in the peri-COVID-19 period. During peri-COVID-19, posts regarding lifestyle changes, donations and infectious disease surfaced. While the proportion of posts about encouraging kindness increased, the proportion of posts about community-based events and psychosocial support decreased. CONCLUSIONS Facebook was found to be well-utilized by renal SSAs in engaging their beneficiaries during the pandemic. In future pandemics, Renal SSAs should place emphasis on posts related to psychosocial support and encouraging kindness.

There is growing interest globally in using real-world data (RWD) and real-world evidence (RWE) for health technology assessment (HTA). Optimal collection, analysis, and use of RWD/RWE to inform HTA requires a conceptual framework to standardize processes and ensure consistency. However, such framework is currently lacking in Asia, a region that is likely to benefit from RWD/RWE for at least two reasons. First, there is often limited Asian representation in clinical trials unless specifically conducted in Asian populations, and RWD may help to fill the evidence gap. Second, in a few Asian health systems, reimbursement decisions are not made at market entry; thus, allowing RWD/RWE to be collected to give more certainty about the effectiveness of technologies in the local setting and inform their appropriate use. Furthermore, an alignment of RWD/RWE policies across Asia would equip decision makers with context-relevant evidence, and improve timely patient access to new technologies. Using data collected from eleven health systems in Asia, this paper provides a review of the current landscape of RWD/RWE in Asia to inform HTA and explores a way forward to align policies within the region. This paper concludes with a proposal to establish an international collaboration among academics and HTA agencies in the region: the REAL World Data In ASia for HEalth Technology Assessment in Reimbursement (REALISE) working group, which seeks to develop a non-binding guidance document on the use of RWD/RWE to inform HTA for decision making in Asia.

Aims To examine whether the excess risks of coronary heart disease (CHD), stroke, dialysis, and lower extremity amputation (LEA) associated with type 2 diabetes mellitus (T2DM) differ across age, sex, and ethnicity in Singapore. Methods Using a 10-year administrative data, we matched individuals with T2DM using nearest neighbour matching, to those without, in 1:2 ratio. To examine whether the excess risks were heterogeneous across age, sex, and ethnicity, we generated interaction terms of age, sex, and ethnicity with T2DM status in Cox proportional hazard (PH) models. Results The main analyses included ~1 million person years, comprising 66,099 and 120,485 individuals with and without T2DM, respectively. The associations of T2DM with CHD and dialysis, split into two time periods to address violation of PH assumption, were higher with older age in short-term but lower with older age in long-term. The association of T2DM with stroke and LEA were lower with older age. The associations of T2DM with CHD and stroke were also consistently higher in women than men. The associations of T2DM with LEA were higher in ethnic Malays than ethnic Chinese. Conclusions The excess risks of CHD, stroke, dialysis, and LEA associated with T2DM were heterogeneous across some demographic subgroups.

BACKGROUND Public health authorities have been recommending interventions such as physical distancing and face masks, to curtail the transmission of coronavirus disease (COVID-19) within the community. Public perceptions toward such interventions should be identified to enable public health authorities to effectively address valid concerns. The Health Belief Model (HBM) has been used to characterize user-generated content from social media during previous outbreaks, with the aim of understanding the health behaviors of the public. OBJECTIVE This study is aimed at developing and evaluating deep learning–based text classification models for classifying social media content posted during the COVID-19 outbreak, using the four key constructs of the HBM. We will specifically focus on content related to the physical distancing interventions put forth by public health authorities. We intend to test the model with a real-world case study. METHODS The data set for this study was prepared by analyzing Facebook comments that were posted by the public in response to the COVID-19–related posts of three public health authorities: the Ministry of Health of Singapore (MOH), the Centers for Disease Control and Prevention, and Public Health England. The comments made in the context of physical distancing were manually classified with a Yes/No flag for each of the four HBM constructs: perceived severity, perceived susceptibility, perceived barriers, and perceived benefits. Using a curated data set of 16,752 comments, gated recurrent unit–based recurrent neural network models were trained and validated for text classification. Accuracy and binary cross-entropy loss were used to evaluate the model. Specificity, sensitivity, and balanced accuracy were used to evaluate the classification results in the MOH case study. RESULTS The HBM text classification models achieved mean accuracy rates of 0.92, 0.95, 0.91, and 0.94 for the constructs of perceived susceptibility, perceived severity, perceived benefits, and perceived barriers, respectively. In the case study with MOH Facebook comments, specificity was above 96% for all HBM constructs. Sensitivity was 94.3% and 90.9% for perceived severity and perceived benefits, respectively. In addition, sensitivity was 79.6% and 81.5% for perceived susceptibility and perceived barriers, respectively. The classification models were able to accurately predict trends in the prevalence of the constructs for the time period examined in the case study. CONCLUSIONS The deep learning–based text classifiers developed in this study help to determine public perceptions toward physical distancing, using the four key constructs of HBM. Health officials can make use of the classification model to characterize the health behaviors of the public through the lens of social media. In future studies, we intend to extend the model to study public perceptions of other important interventions by public health authorities.

Background The coronavirus disease (COVID-19) pandemic presents one of the most challenging global crises at the dawn of a new decade. Public health authorities (PHAs) are increasingly adopting the use of social media such as Facebook to rapidly communicate and disseminate pandemic response measures to the public. Understanding of communication strategies across different PHAs and examining the public response on the social media landscapes can help improve practices for disseminating information to the public. Objective This study aims to examine COVID-19-related outreach efforts of PHAs in Singapore, the United States, and England, and the corresponding public response to these outreach efforts on Facebook. Methods Posts and comments from the Facebook pages of the Ministry of Health (MOH) in Singapore, the Centers for Disease Control and Prevention (CDC) in the United States, and Public Health England (PHE) in England were extracted from January 1, 2019, to March 18, 2020. Posts published before January 1, 2020, were categorized as pre-COVID-19, while the remaining posts were categorized as peri-COVID-19 posts. COVID-19-related posts were identified and classified into themes. Metrics used for measuring outreach and engagement were frequency, mean posts per day (PPD), mean reactions per post, mean shares per post, and mean comments per post. Responses to the COVID-19 posts were measured using frequency, mean sentiment polarity, positive to negative sentiments ratio (PNSR), and positive to negative emotions ratio (PNER). Toxicity in comments were identified and analyzed using frequency, mean likes per toxic comment, and mean replies per toxic comment. Trend analysis was performed to examine how the metrics varied with key events such as when COVID-19 was declared a pandemic. Results The MOH published more COVID-19 posts (n=271; mean PPD 5.0) compared to the CDC (n=94; mean PPD 2.2) and PHE (n=45; mean PPD 1.4). The mean number of comments per COVID-19 post was highest for the CDC (mean CPP 255.3) compared to the MOH (mean CPP 15.6) and PHE (mean CPP 12.5). Six major themes were identified, with posts about prevention and safety measures and situation updates being prevalent across the three PHAs. The themes of the MOH’s posts were diverse, while the CDC and PHE posts focused on a few themes. Overall, response sentiments for the MOH posts (PNSR 0.94) were more favorable compared to response sentiments for the CDC (PNSR 0.57) and PHE (PNSR 0.55) posts. Toxic comments were rare (0.01%) across all PHAs. Conclusions PHAs’ extent of Facebook use for outreach purposes during the COVID-19 pandemic varied among the three PHAs, highlighting the strategies and approaches that other PHAs can potentially adopt. Our study showed that social media analysis was capable of providing insights about the communication strategies of PHAs during disease outbreaks.

There has been continuous development in the field of health technology assessment (HTA) owing to the added value of HTA in supporting healthcare reimbursement decisions. Collaboration and engagement among countries in Asia has been carried out to share experiences and learning on the barriers and factors facilitating the implementation and use of HTA in policy making. A symposium on the topic of Health Technology Assessment (HTA): Selecting the Highest Value Care was held on January 10, 2019 at the National University of Singapore, during which 3 major challenges confronting HTA development in Asia were identified. The symposium also offered possible ways to overcome the challenges., Highlights • Countries in Asia increasingly recognize and adopt health technology assessment (HTA) in setting priorities for healthcare. Nevertheless, 2 common challenges can be identified, namely, lack of infrastructure and technical capacity to cope with the increasing demand for HTA, and the inadequate involvement of stakeholders in the HTA process. • Solutions identified at the HTA symposium in Singapore to overcome these challenges were that countries should implement a tailored and transparent mechanism for using HTA, promote existing HTA capacity, and strengthen the understanding of HTA among the stakeholders. • Health technology assessment symposia such as the one organized in Singapore provide a platform for countries to share knowledge and challenges, and bring different views to build into something greater and overcome the challenges. Such symposia should be organized regularly.

BACKGROUND The coronavirus disease (COVID-19) pandemic presents one of the most challenging global crises at the dawn of a new decade. Public health authorities (PHAs) are increasingly adopting the use of social media such as Facebook to rapidly communicate and disseminate pandemic response measures to the public. Understanding of communication strategies across different PHAs and examining the public response on the social media landscapes can help improve practices for disseminating information to the public. OBJECTIVE This study aims to examine COVID-19-related outreach efforts of PHAs in Singapore, the United States, and England, and the corresponding public response to these outreach efforts on Facebook. METHODS Posts and comments from the Facebook pages of the Ministry of Health (MOH) in Singapore, the Centers for Disease Control and Prevention (CDC) in the United States, and Public Health England (PHE) in England were extracted from January 1, 2019, to March 18, 2020. Posts published before January 1, 2020, were categorized as pre-COVID-19, while the remaining posts were categorized as peri-COVID-19 posts. COVID-19-related posts were identified and classified into themes. Metrics used for measuring outreach and engagement were frequency, mean posts per day (PPD), mean reactions per post, mean shares per post, and mean comments per post. Responses to the COVID-19 posts were measured using frequency, mean sentiment polarity, positive to negative sentiments ratio (PNSR), and positive to negative emotions ratio (PNER). Toxicity in comments were identified and analyzed using frequency, mean likes per toxic comment, and mean replies per toxic comment. Trend analysis was performed to examine how the metrics varied with key events such as when COVID-19 was declared a pandemic. RESULTS The MOH published more COVID-19 posts (n=271; mean PPD 5.0) compared to the CDC (n=94; mean PPD 2.2) and PHE (n=45; mean PPD 1.4). The mean number of comments per COVID-19 post was highest for the CDC (mean CPP 255.3) compared to the MOH (mean CPP 15.6) and PHE (mean CPP 12.5). Six major themes were identified, with posts about prevention and safety measures and situation updates being prevalent across the three PHAs. The themes of the MOH’s posts were diverse, while the CDC and PHE posts focused on a few themes. Overall, response sentiments for the MOH posts (PNSR 0.94) were more favorable compared to response sentiments for the CDC (PNSR 0.57) and PHE (PNSR 0.55) posts. Toxic comments were rare (0.01%) across all PHAs. CONCLUSIONS PHAs’ extent of Facebook use for outreach purposes during the COVID-19 pandemic varied among the three PHAs, highlighting the strategies and approaches that other PHAs can potentially adopt. Our study showed that social media analysis was capable of providing insights about the communication strategies of PHAs during disease outbreaks.

Objective Ras wild-type metastatic colorectal cancers (mCRC) may be treated with anti-vascular endothelial growth factor (VEGF) or anti-epidermal growth factor receptor (EGFR) agents. We aim to estimate patients’ preferences for mCRC treatment and relative importance of cost, efficacy improvement, avoidance of side effects and therapy convenience, and relative uptake between profiles that resemble Bevacizumab (anti-VEGF) and Cetuximab (anti-EGFR), two commonly prescribed mCRC targeted therapies. Methods Discrete choice experiment (DCE) was administered to English- or Chinese-speaking Stage 2 or 3 colon cancer patients at the National Cancer Centre Singapore. DCE attributes comprise progression-free survival (PFS), severity of acne-like skin rashes, severity of bleeding, out-of-pocket cost per month and frequency of drug administration. Mixed logit model was used to calculate preference weights for all attribute levels. Subgroup analyses were conducted by interacting attribute levels with selected respondent characteristics. Relative uptake rates for various medication scenarios were studied. Results 169 respondents aged 61.5 ± 10.5 years completed the survey. They placed the greatest weight on cost, followed by bleeding and skin rashes, then PFS and finally frequency of drug administration. This was similarly observed in the subgroup analyses. A scenario with shorter PFS but less severe side effects has a slightly higher relative uptake at 55%. One quarter of respondents reported that they would not take the treatment they preferred in the choice task. Conclusion Patients were willing to trade off some degree of efficacy to avoid certain severity of side effects. It is therefore crucial for patients and physicians to discuss patients’ preferences and circumstances to understand which attributes are more important, as well as patients’ views on the trade-offs between treatment benefits and risks.

Additional file 1. PCRM run statistics for PMHI. Partial Credit Rasch Model (PCRM) statistics on the items that were removed at the first three analyses runs.

Background/aims Inflammatory bowel disease (IBD) is associated with considerable impairment of patients' health-related quality of life (HRQoL). Knowledge of factors that significantly affect IBD patients' HRQoL can contribute to better patient care. However, the HRQoL of IBD patients in non-Western countries are limited. Hence, we assessed the HRQoL of Singaporean IBD patients and identified its determinants. Methods A prospective, cross-sectional study was conducted at Singapore General Hospital outpatient IBD Centre. The HRQoL of IBD patients was assessed using the short IBD questionnaire (SIBDQ), Short Form-36 physical and mental component summary (SF-36 PCS/MCS) and EuroQol 5-dimensions 3-levels (EQ-5D-3L) and visual analogue scale (VAS). Independent samples t-test was used to compare HRQoL between Crohn's disease (CD) and ulcerative colitis (UC). Determinants of HRQoL were identified through multiple linear regression. Results A total of 195 IBD patients (103 UC, 92 CD) with a mean disease duration of 11.2 years were included. There was no significant difference in HRQoL between patients with UC and CD. Factors that significantly worsened HRQoL were presence of active disease (b=-6.293 [SIBDQ], -9.409 [PCS], -9.743 [MCS], -7.254 [VAS]), corticosteroids use (b=-7.392 [SIBDQ], -10.390 [PCS], -8.827 [MCS]), poor medication adherence (b=-4.049 [SIBDQ], -1.320 [MCS], -8.961 [VAS]), presence of extraintestinal manifestations (b=-13.381 [PCS]), comorbidities (b=-4.531 [PCS]), non-employment (b=-9.738 [MCS], -0.104 [EQ-5D-3L]) and public housing (b=-8.070 [PCS], -9.207 [VAS]). Conclusions The HRQoL is impaired in this Asian cohort of IBD. The magnitude of HRQoL impairment was similar in UC and CD. Clinical characteristics were better determinants of patients' HRQoL than socio-demographic factors. Recognizing the factors that impact patients' HRQoL would improve the holistic management of IBD patients.

Adverse drug reactions (ADRs) contribute to hospitalization but data on its economic burden is scant. Pre-emptive pharmacogenetic (PGx) testing can potentially reduce ADRs and its associated costs. The objectives of this study were to quantify the economic burden of ADRs and to estimate the breakeven cost of pre-emptive PGx testing in Singapore. We collected itemized costs for 1000 random non-elective hospitalizations of adults admitted to a tertiary-care general hospital in Singapore. The presence of ADRs at admission and their clinical characteristics were reported previously. The economic burden of ADRs was assessed from two perspectives: (1) Total cost and (2) incremental costs. The breakeven cost of PGx testing was estimated by dividing avoidable hospitalization costs for ADRs due to selected drugs by the number of patients taking those drugs. The total cost of 81 admissions caused by ADRs was US$570,404. Costs were significantly higher for bleeding/elevated international normalized ratio (US$9906 vs. US$2251, p = 6.58 × 10-3) compared to other ADRs, and for drugs acting on the blood coagulation system (US$9884 vs. US$2229, p = 4.41 × 10-3) compared to other drug classes. There were higher incremental laboratory costs due to ADRs causing or being present at admission. The estimated breakeven cost of a pre-emptive PGx test for patients taking warfarin, clopidogrel, chemotherapeutic and neuropsychiatric drugs was US$114 per patient. These results suggest that future studies designed to directly measure the clinical and cost impact of a pre-emptive genotyping program will help inform clinical practice and health policy decisions.

To map the Alzheimer’s Disease Cooperative Study—Activities of Daily Living Inventory (ADCS-ADL) to the Health Utility Index Mark III (HUI3) in people living with dementia (PWD) and to compare the performance of five methods for mapping. A cross-sectional study of 346 dyads of community-dwelling PWD and family caregiver was carried out in Singapore. ADCS-ADL and HUI3 were rated by the family caregivers. Disease severity ratings and Mini Mental State Examination (MMSE) results were retrieved from medical records. A recently proposed mapping method called the Mean Rank Method (MRM) was described and applied, and the results were compared with regression-based mapping, including ordinary least squares, censored least absolute deviation (CLAD), Tobit and response mapping. The MRM produced a mapped utility distribution that closely resembled the observed utility distribution. The standard deviations (SDs) of the observed and MRM-mapped utility were both 0.340, whereas the SDs of the other mapped utilities ranged from 0.243 (response mapping) to 0.283 (CLAD). Regressing the MRM- and CLAD-mapped and observed utility values upon disease severity and MMSE gave similar regression lines (each P > 0.05). Regressing the other mapped utility values upon the covariates under- (over-) estimated the utility of good (poor) clinical states. However, regression-based mapping methods gave a better fit at the individual level, as measured by root mean square error, mean absolute error and R2. K fold cross-validation gave similar results. The MRM is accurate at the group level. The regression-based mapping methods are more accurate for making individual-level prediction. In addition, CLAD also performed reasonably well at the group level.

The World Population Prospects 2019 reports that the proportion of people who aged 65 and above takes up 9 per cent globally in 2019, reaching up to 16 per cent by 2050. Asia has the fastest rise: from 1 in 9 people aged 65 and above to 1 in 4 in 2050. Rapid growth in older adults has strong implications for diseases and healthcare expenditure. For Singapore, the transition from ‘ageing society’ (7% seniors) in 1999 to ‘super-aged society’ (20% seniors) in 2026 is projected to take 27 years, much faster than Japan’s 36 years. We used the Singapore Multi-Ethnic Cohort (MEC) of 14,465 subjects aged 21 to 94, and the Future Elderly Model (FEM) microsimulation model to project disease burden and hospitalization expenditures to 2050. We found that Chinese females had the highest life expectancy of 86.0 years, followed by Indian and Malay females with 80.4 and 75.6 years respectively. In all racial groups, women lived longer than men by 5-7 years. Cumulative hospitalization expenditures of older adults aged 51+ was US$69,500 for Chinese, US$67,600 for Malays and US$86,100 for Indians; US$71,200 for males and US$70,700 for females. The increased hospitalization spending for all three ethnic groups was due to the underlying manifestation of chronic diseases, including diabetes, hypertension, heart disease and stroke. Variations in environmental risk factors such as diet, cigarette smoking and physical activity across ethnic groups may contribute to racial differences in chronic diseases and disability. Therefore, targeted interventions are needed to reduce racial disparities.

The control of confounding is an area of extensive epidemiological research, especially in the field of causal inference for observational studies. Matched cohort and case-control study designs are commonly implemented to control for confounding effects without specifying the functional form of the relationship between the outcome and confounders. This paper extends the commonly used regression models in matched designs for binary and survival outcomes (i.e. conditional logistic and stratified Cox proportional hazards) to studies of continuous outcomes through a novel interpretation and application of logit-based regression models from the econometrics and marketing research literature. We compare the performance of the maximum likelihood estimators using simulated data and propose a heuristic argument for obtaining the residuals for model diagnostics. We illustrate our proposed approach with two real data applications. Our simulation studies demonstrate that our stratification approach is robust to model misspecification and that the distribution of the estimated residuals provides a useful diagnostic when the strata are of moderate size. In our applications to real data, we demonstrate that parity and menopausal status are associated with percent mammographic density, and that the mean level and variability of inpatient blood glucose readings vary between medical and surgical wards within a national tertiary hospital. Our work highlights how the same class of regression models, available in most statistical software, can be used to adjust for confounding in the study of binary, time-to-event and continuous outcomes.

Introduction: The World Health Organization Quality of Life (WHOQOL-BREF) questionnaire is a 26-item questionnaire that evaluates 4 domains of quality of life (QoL), namely Physical, Psychological, Social Relationships and Environment. This study aimed to evaluate the validity and reliability of the WHOQOL-BREF among Singapore residents aged 21 and above. Materials and Methods: We recruited participants from the general population by using multistage cluster sampling and participants from 2 hospitals by using convenience sampling. Participants completed either English, Chinese or Malay versions of the WHOQOL-BREF and the EuroQoL 5 Dimension 5 Levels (EQ-5D-5L) questionnaires. Confirmatory factor analysis, known-group validity, internal consistency (Cronbach’s alpha) and test-retest reliability using the intraclass correlation coefficient (ICC) were performed. Results: Data from 1316 participants were analysed (Chinese: 46.9%, Malay: 41.0% and Indian: 11.7%; 57.5% men, mean standard deviation [SD, range] age: 51.9 [15.68, 24 to 90] years); 154 participants took part in the retest in various languages (English: 60, Chinese: 49 and Malay: 45). Tucker-Lewis Index (TLI) was 0.919, 0.913 and 0.909 for the English, Chinese and Malay versions, respectively. Standardised root mean square residual (SRMR) was 0.067, 0.074 and 0.094, respectively. Cronbach’s alpha exceeded 0.7 and ICC exceeded 0.4 for all domains in all language versions. Conclusion: The WHOQOL-BREF is valid and reliable for assessing QoL in Singapore. Model fit is reasonable with room for improvement. Key words: Health-related quality of life, Linking values, Mapping functions, Patient-reported outcomes, Preference-based measures

Aims To examine differences in health-related quality of life (HRQoL) between patients with and without diabetic peripheral neuropathy (DPN), and whether these differences can be explained by functional deficits. Methods This was a cross-sectional study of 160 patients with type 2 diabetes mellitus, 80 with DPN and 80 without. Assessments included HRQoL (health utility score derived from EQ-5D-5L), functional status measurements [muscle strength, timed up and go (TUG), five times sit-to-stand (FTSTS), functional reach, body sway velocity] and self-reported balance confidence [Activities-specific Balance Confidence (ABC) scale]. Results Mean utility scores were 0.67 ± 0.14 and 0.77 ± 0.16 in patients with and without DPN, respectively (p

Background Persistent diabetes-related distress (DRD) is experienced by patients with Type 2 Diabetes Mellitus. Knowing factors associated with persistent DRD will aid clinicians in prioritising interventions efforts. Methods A total of 216 patients were recruited from a tertiary hospital in Singapore, an Asian city state, and followed for 1.5 years (2011–2014). Data was collected by self-completed questionnaires assessing DRD (measured by the Problem Areas in Diabetes score) and other psychosocial aspects such as social support, presenteeism, depression, health-related quality of life (HRQoL) and excessive daytime sleepiness (EDS) at three time points. Clinical data (body-mass-index and glycated haemoglobin) was obtained from medical records. Change score was calculated for each clinical and psychosocial variable to capture changes in these variables from baseline. Generalized Linear Model with Generalized Estimating Equation method was used to assess whether baseline and change scores in clinical and psychosocial are associated with DRD over time. Results Complete data was available for 73 patients, with mean age 44 (SD 12.5) years and 67% males. Persistent DRD was experienced by 21% of the patients. In the final model, baseline HRQoL (OR = 0.56, p

CSL Tan,1 GG Teng,1,2 KJ Chong,2 PP Cheung,1,2 AYN Lim,1,2 HL Wee,3,4 A Santosa1,2 1University Medicine Cluster, Division of Rheumatology, National University Health System, 2Department of Medicine, Yong Loo Lin School of Medicine, 3Department of Pharmacy, Faculty of Science, 4Saw Swee Hock School of Public Health, National University of Singapore, Singapore Background: The outcomes of any chronic illness often depend on patients’ adherence with their treatment. A tool is lacking to assess adherence in gout that is standardized, allows real-time feedback, and is easy to understand.Objective: We set out to evaluate the utility of the 8-item Morisky Medication Adherence Scale (MMAS-8) in monitoring medication adherence in a multiethnic Asian gout cohort on urate-lowering therapy (ULT).Methods: This cohort study recruited patients with gout where baseline and 6-monthly clinical data, self-report of adherence, and health status by Gout Impact Scale (GIS) and EuroQoL-5 dimension 3 levels were collected. Those who received at least 9 months of ULT were analyzed. Convergent and construct validities of MMAS-8 were evaluated against medication possession ratio (MPR) and known groups, clinical outcomes, and patient-reported outcomes. Internal consistency and test–retest reliability were assessed using Cronbach’s alpha and intraclass correlation coefficient (ICC), respectively.Results: Of 91 patients, 92.3% were male, 72.5% Chinese with mean age 53.5 years. MMAS-8 (mean 6.17) and MPR (mean 96.3%) were poorly correlated (r=0.069, P=0.521). MMAS-8 did not differ between those who did or did not achieve target serum urate (SU)

Purpose of review Patient-reported outcome measures (PROMs) and patient registries both play important roles in assessing patient outcomes. However, no study has examined the use of PROMs among registries involving patients with type 2 diabetes mellitus (T2DM). Our objective is twofold: first, to review the range of PROMs used in registry-based studies of patients with T2DM; second, to describe associations between these PROMs, T2DM and its complications. Recent findings The International Consortium for Health Outcomes Measurement (ICHOM) Diabetes Standard Set recommended routine usage of PROMs to assess psychological well-being, diabetes distress, and depression among patients with T2DM. A wide variety of PROMs were used among the 15 studies included in this review. Quality of life, depressive symptoms and treatment adherence were the most common aspects of T2DM that utilised PROMs for assessment. Adoption of PROMs among registries of patients with T2DM remains uncommon, non-routine and with few that are validated before use.

AIM Early-onset dementia (EOD) (defined as dementia onset before age 65) presents specific challenges and issues, adding to the negative impact of dementia on the health-related quality of life (HRQOL) of both patients and their caregivers. However, very few published studies have specifically compared the HRQOL of caregivers of people with EOD and late-onset dementia (LOD). This information is critical in allocating and prioritizing scarce health-care resources. We aimed to assess the HRQOL of primary informal caregivers of community-dwelling individuals with EOD in Singapore and compare it with that of caregivers of individuals with LOD. METHODS This was a cross-sectional study of consecutive patient-caregiver dyads from a tertiary dementia clinic. RESULTS No significant differences in disease severity were found between the 111 EOD and 235 LOD patient-caregiver dyads. The mean Mental Component Summary score of the 36-item Short-Form Health Survey version 2 was significantly worse in caregivers of EOD patients than in LOD caregivers (mean: 41.42 vs 45.12, P = 0.001), although the mean Physical Component Summary scores were comparable (49.71 vs 49.53, P = 0.934). However, the impact of dementia early onset on caregivers' mental health diminished immediately after adjustment for the disease severity indicators, of which the Neuropsychiatric Inventory Questionnaire distress score was the only significant clinical factor (regression coefficient β = -0.29, P

Objective. To establish the validity of EQ-5D-3L in Tagalog language in assessing health-related quality of life states among adult Filipinos 20-50 years old. Methods. A face-to-face cross-sectional community survey of apparently healthy adult Filipinos (20-50 years old) in Metro Manila and in 4 nearby provinces (Bulacan, Batangas, Quezon, Rizal) was conducted. Trained interviewers administered the Tagalog language versions of EuroQoL 5-Dimension 3 Levels (EQ-5D-3L), Short-Form 36 version 2 (SF-26v2®), and a socio-economic questionnaire. All questionnaires were pre-tested for cultural appropriateness. Concurrent validity (against the SF-36v2®) and known group validity of the EQ-5D-3L were evaluated. Results. Complete data from 3,056 participants were analyzed. Almost half of the participants reported perfect health on EQ-5D-3L and had higher scores on all SF-36v2® domains compared to those who reported some problems on EQ-5D-3L. Compared to participants who reported some problems on EQ-5D-3L mobility (or anxiety/depression), participants who reported no problem on EQ-5D-3L mobility (or anxiety/depression) reported lower SF-36v2® Physical Functioning (or Mental Health) scores (differences of 7.1 and 10 points, respectively) that were minimally important (i.e. exceeds 5 points). Participants with poorer self-reported health had considerably lower EQ-5D index scores and EQ-5D VAS scores (p < 0.05) irrespective of their socio-demographic characteristics. Conclusion. EQ-5D-3L (Tagalog) demonstrated construct and known groups validity among adult Filipinos (20-50 years old).

To map the Shah-modified Barthel Index (SBI) to the Health Utility Index Mark III (HUI-3) in stroke patients, and to compare the performance of a recently developed method called the Mean Rank Method (MRM) against a popular method, the Ordinary Least Squares (OLS) method.A cohort of 473 patients who had their first clinical stroke diagnosis and hospital admission and were assessed using the SBI and HUI-3 at 3 months and/or 12 months post-admission. Observations were split to form a training dataset (N = 473) and a validation dataset (N = 245).In the training dataset, the MRM using SBI total score as the predictor produced a mapped utility distribution that closely resembled the observed utility distribution. It had almost no shrinkage of the standard deviation (P = 0.542), whereas the OLS using SBI total score and SBI item scores under-estimated the standard deviation by 28% and 26%, respectively (each P 0.001). The MRM mapping gave better fit in terms of smaller mean absolute error and larger intra-class correlation than the two versions of OLS mapping, whereas the OLS gave smaller mean-squared errors than the MRM. Multivariate regression analysis showed that the use of OLS-mapped utilities tended to under-estimate both the mean utility of people who had no comorbidity and the utility-comorbidity association as compared to the observed utility-comorbidity pattern although the differences did not reach statistical significance (each P 0.05). The MRM-mapped utility showed utility-comorbidity pattern more similar to the observed. Similar findings were obtained from the validation dataset.The MRM performed well. Mapping functions are available to map the SBI to the HUI-3 Utility Index.

Objectives The Singapore Caregiver Quality of Life Scale (SCQOLS) comprises five domains and 51 items in total. This study aimed to develop and evaluate short forms of SCQOLS. Study Design and Setting Data were collected from 612 family caregivers of patients with advanced cancers in Singapore. Exploratory factor analysis and best subset regression were used to identify candidate items for each domain. The short forms were evaluated for measurement properties. Results Inclusion of at least two items per domain in the short form gave correlation coefficients of at least 0.8 with the corresponding domain scores in the full-length version. The short forms and full-length version had similar correlation coefficients with Negative Personal Impact and Positive Personal Impact measures. Two of the five domains of the 10-item version had Cronbach’s alpha ≤0.50 and test-retest reliability ≤0.65. A 15-item version of the scale with two to four items per domain performed satisfactorily in all aspects evaluated. Conclusion A 15-item short form of the SCQOLS (SCQOLS-15) is valid and reliable for the assessment of the overall and domain-specific quality of life of family caregivers. A 10-item short form (SCQOLS-10) may serve as a quick, valid and reliable assessment of the overall level of quality of life.

Background: The multidimensional Positive Mental Health Instrument (PMHI) has 47 items and six subscales. This study aimed to develop and validate a short unidimensional version of the PMHI among Singapore’s adult resident population. Methods: Using pooled data from three earlier studies (n = 1050), PMHI items were reduced by Partial Credit Rasch Model (PCRM) runs in a random split-half sample, while psychometric properties of the resulting measure were tested through confirmatory factor analysis (CFA), item response theory-graded response model and internal consistency reliability in the other half. Its reliability, construct and concurrent validity, agreement with the original scale, floor and ceiling effect, and scale estimates were further investigated in an external representative general population sample (n = 1925). Results: The average age of the participants was around 41 years. Four PCRM re-runs for item selection resulted in a 6-item unidimensional Rapid PMHI (R-PMHI). CFA confirmed the unidimensional structure of the R-PMHI in the internal (RMSEA = 0.075, CFI = 0.985, TLI = 0.974) and external (RMSEA = 0.051, CFI = 0.992, TLI = 0.987) validation samples. In the external validation sample, the R-PMHI met concurrent validity criteria, showing high agreement with the 47-item version with intra-class correlation coefficient of 0.872 (95% CI: 0.861 to 0.882) and low floor and ceiling effects. Weight-adjusted mean (SE, 95% CI) R-PMHI score in the population was 4.86 (0.2, 4.82–4.90). Conclusion: The unidimensional 6-item R-PMHI offers brevity over the original multidimensional measure while appropriately representing the positive mental health construct. Prospective studies are needed to assess its responsiveness and test-retest reliability. Ministry of Health (MOH) National Medical Research Council (NMRC) Published version Study 1 was supported by funding from the Ministry of Health, Singapore and the Singapore Millennium Foundation of the Temasek Trust (Grant number RF08–01). Studies 2 and 3 were funded by the Singapore Ministry of Health’s National Medical Research Council under the Centre Grant Programme (Grant number NMRC/CG12Aug04). Study 4 was supported by grants from the Ministry of Health, Singapore, National University of Singapore and National University Health System, Singapore (Grant number NA). The study funders played no role in this study design or data analysis.

Objective:To examine the risk factors and direct medical costs associated with early (≤30 days) versus late (31–180 days) unplanned readmissions among patients with type 2 diabetes in Singapore. Methods:Risk factors and associated costs among diabetes patients were investigated using electronic medical records from a local tertiary care hospital from 2010 to 2012. Multivariable logistic regression was used to identify risk factors associated with early and late unplanned readmissions while a generalized linear model was used to estimate the direct medical cost. Sensitivity analysis was also performed. Results:A total of 1729 diabetes patients had unplanned readmissions within 180 days of an index discharge. Length of index stay (a marker of acute illness burden) was one of the risk factors associated with early unplanned readmission while patient behavior-related factors, like diabetes-related medication adherence, were associated with late unplanned readmission. Adjusted mean cost of index admission was higher among patients with unplanned readmission. Sensitivity analysis yielded similar results. Conclusions:Existing routinely captured data can be used to develop prediction models that flag high risk patients during their index admission, potentially helping to support clinical decisions and prevent such readmissions.

Supplemental Material, BASC_Chinese_version for Exploring the Score Equivalence of the English and Chinese Versions of the Brief Assessment Scale for Caregivers by Grace Meijuan Yang, Shirlyn Hui-Shan Neo, Irene Teo, Geok Ling Lee, Julian Thumboo, John Chia, Annie Lau, Audrey Koh, Debra Qu, William Wai Lam Che, Hwee Lin Wee, Myra Glajchen, and Yin Bun Cheung in Journal of Patient Experience

BACKGROUND Primary medication non-adherence (PMN), defined as failure to obtain newly prescribed medications, results in adverse clinical and economic outcomes. We aimed to (a) assess the prevalence of PMN in six common chronic diseases: asthma and/ or chronic obstructive pulmonary disease, depression, diabetes mellitus, hyperlipidaemia, hypertension and osteoporosis; (b) identify and categorise factors associated with PMN; (c) explore characteristics that contributed to heterogeneity between studies. METHODS We performed a systematic search in MEDLINE, Embase, Cochrane Library, CINAHL and PsycINFO. Studies published in English between January 2008 and August 2018 assessing PMN in subjects aged ≥18 years were included. We used the Cochrane risk of bias tool, Newcastle-Ottawa Scale and National Heart, Lung and Blood Institute Quality Assessment Tool to assess the quality of randomised controlled trials, cohort and cross-sectional studies, respectively. Findings were reported using the PRISMA checklist. PMN rates were pooled using a random effects model. We summarised factors associated with PMN descriptively. Subgroup analysis was performed to explore sources of heterogeneity. RESULTS We screened 3083 articles and included 33 (5 randomised controlled trials, 26 cohort and 2 cross-sectional studies, n = 539 156), of which 31 (n = 519 971) were used in meta-analysis. The pooled PMN rate was 17% (95% CI: 15%-20%). Pooled PMN rates were highest in osteoporosis (25%, 95% CI: 7%-44%) and hyperlipidaemia (25%, 95% CI: 18%-32%) and lowest in diabetes mellitus (10%, 95% CI: 7%-12%). Factors commonly associated with PMN include younger age, number of concurrent medications, practitioner specialty and higher co-payment. Type of chronic disease, age, study setting and PMN definition contributed to heterogeneity between studies (all P

This is the first study to investigate the associations of self-care, illness perceptions and psychological distress with metabolic control in Singaporean adolescents with Type 1 Diabetes Mellitus (T1DM). A cross-sectional sample of 41 adolescents (aged 14–20) completed measures of self-care, illness perceptions and psychological distress. Demographic and medical information were also obtained. Glycated haemoglobin (HbA1c) levels were analysed both as continuous variable to explore dose–effect relationships and as a categorical variable to classify poor versus good metabolic control. A total of 65.9% (n = 27) of the adolescents had poor metabolic control (HbA1c

Background Public health authorities have been recommending interventions such as physical distancing and face masks, to curtail the transmission of coronavirus disease (COVID-19) within the community. Public perceptions toward such interventions should be identified to enable public health authorities to effectively address valid concerns. The Health Belief Model (HBM) has been used to characterize user-generated content from social media during previous outbreaks, with the aim of understanding the health behaviors of the public. Objective This study is aimed at developing and evaluating deep learning–based text classification models for classifying social media content posted during the COVID-19 outbreak, using the four key constructs of the HBM. We will specifically focus on content related to the physical distancing interventions put forth by public health authorities. We intend to test the model with a real-world case study. Methods The data set for this study was prepared by analyzing Facebook comments that were posted by the public in response to the COVID-19–related posts of three public health authorities: the Ministry of Health of Singapore (MOH), the Centers for Disease Control and Prevention, and Public Health England. The comments made in the context of physical distancing were manually classified with a Yes/No flag for each of the four HBM constructs: perceived severity, perceived susceptibility, perceived barriers, and perceived benefits. Using a curated data set of 16,752 comments, gated recurrent unit–based recurrent neural network models were trained and validated for text classification. Accuracy and binary cross-entropy loss were used to evaluate the model. Specificity, sensitivity, and balanced accuracy were used to evaluate the classification results in the MOH case study. Results The HBM text classification models achieved mean accuracy rates of 0.92, 0.95, 0.91, and 0.94 for the constructs of perceived susceptibility, perceived severity, perceived benefits, and perceived barriers, respectively. In the case study with MOH Facebook comments, specificity was above 96% for all HBM constructs. Sensitivity was 94.3% and 90.9% for perceived severity and perceived benefits, respectively. In addition, sensitivity was 79.6% and 81.5% for perceived susceptibility and perceived barriers, respectively. The classification models were able to accurately predict trends in the prevalence of the constructs for the time period examined in the case study. Conclusions The deep learning–based text classifiers developed in this study help to determine public perceptions toward physical distancing, using the four key constructs of HBM. Health officials can make use of the classification model to characterize the health behaviors of the public through the lens of social media. In future studies, we intend to extend the model to study public perceptions of other important interventions by public health authorities.

The global burden of cardiovascular diseases (CVDs) has been increasing steadily over the past two decades. Although the age-standardized CVD mortality rates have fallen, the number of deaths due to CVDs continues to rise, with 17.9 million deaths attributed to them in 2015.1 A 12.5% increase in CVD deaths was seen between 2005 and 2015, with approximately 85% attributed to ischaemic heart disease (IHD) and stroke alone.1 The World Health Organization (WHO) predicts this trend to continue, with cardiovascular disease mortality projected to increase by 6 million by 2030.

The purpose of the study was to assess the impact of axial spondyloarthritis (axSpA) on patients’ quality of life (QoL) compared to patients with moderate to end-stage chronic kidney disease (CKD). We conducted secondary analysis of QoL data obtained from patients with axSpA and CKD from 2011 to 2014. QoL was assessed using the SF-36 version 2 and KDQoL-SF for patients with axSpA and CKD, respectively. Patients with CKD were subcategorized to CKD-pre-dialysis, hemodialysis (CKD-HD) and peritoneal dialysis (CKD-PD). Linear regression was used to compare QoL between patients with axSpA and CKD after adjusting for age, gender, ethnicity, education level, and marital status. A total of 765 patients (mean age 54.6, 63.0% males, 69.0% Chinese) were analyzed, of which 188 (24.5%) had axSpA. Patients with axSpA had poorer SF-36 bodily pain (BP) scores (axSpA: reference; CKD-pre-dialysis β: 11.04, p

Background The quality of life of family caregivers of patients with advanced cancers is an important concern in oncology care. Yet, there are few suitable measurement scales available for use in Asia. This study aims to develop and evaluate a locally derived measurement scale in English and Chinese to assess the quality of life of family caregivers of patients with advanced cancers in Singapore. Methods Scale contents were generated from qualitative research that solicited inputs from family caregivers. Six hundred and twelve family caregivers of patients with advanced cancers were recruited, of whom 304 and 308 chose to complete the English and Chinese versions of the quality of life scale, respectively. A follow-up survey was conducted for test-retest reliability assessment. Analyses began with pooling all observations, followed by analyses stratified by language samples and ethnic groups (among English-speaking participants). Results Factor analysis identified 5 domains of quality of life. The Root Mean Square Error of Approximation was 0.041 and Comparative Fit Index was 0.948. Convergent and divergent validity of the total and domain scores were demonstrated in terms of correlation with the Brief Assessment Scale for Caregiver and its sub-scales and a measure of financial concern; known-group validity was demonstrated in terms of differences between groups defined by patient’s performance status. Internal consistency (Cronbach’s alpha) of the total and domain scores ranged from 0.86 to 0.93. Test-retest reliability (intraclass correlation coefficient) ranged from 0.74 to 0.89. Separate analyses of the English- and Chinese-speaking samples and ethnic groups gave similar results. Conclusion A new, validated, multi-domain quality of life measurement scale for caregivers of patients with advanced cancers that is developed with inputs from family caregivers is now available in two languages. We call this the Singapore Caregiver Quality Of Life Scale (SCQOLS). Electronic supplementary material The online version of this article (10.1186/s12955-019-1108-y) contains supplementary material, which is available to authorized users.

Aim: Genetic factors have been found to affect warfarin maintenance dose and a key factor for the successful clinical implementation of warfarin pharmacogenetic testing (WPGT) is economic sustainability. We aimed to estimate the willingness-to-pay (WTP) and preferences for WPGT in Singaporean Chinese subjects. Methods & subjects: A total of 197 warfarin patients and 187 members of the public completed a questionnaire. The discrete choice methodology was used and the choice model was estimated using hierarchical Bayes. Marginal WTP, attribute importance and WTP for three hypothetical WPGTs were calculated from the estimated utilities. Results: Both patients and the public placed most emphasis on side effects, followed by cost, number of International Normalized Ratio tests and ‘nature of test’. WTP for WPGT ranged from S$160 to S$730. Conclusion: WPGTs are likely to be economically sustainable.

Objectives The emphasis on capturing patient-reported outcomes (PRO) is increasing, but gout-specific PRO are lacking. We evaluated the reliability and validity of the 24-item Gout Impact Scale (GIS) of the Gout Assessment Questionnaire 2.0 (GAQ2.0) in a multi-ethnic Asian population. Methods Participants with gout in an academic medical center in Singapore completed the GIS which comprises five scales. Confirmatory factor analyses (CFA) were performed. Known-groups validity, divergent validity and internal consistency were evaluated. Results We analyzed data of 267 participants (mean [SD] age 52.2 [16.08] years, 92.1% men and 76.0% Chinese). CFA based on the original GIS factor structure had good model fit based on Tucker-Lewis Index (TLI) of 0.946 but not when based on Root Mean Square Error Of Approximation (RMSEA), which was 0.123 (90% CI: 0.116-0.130). Internal consistency of GIS exceeded 0.7 in all except one scale, consistent with previous studies. Hypotheses related to known-groups validity were largely supported. Scores were significantly higher (ie greater impact) for participants reporting at least some problem on the EQ-5D-3L anxiety/ depression item across all GIS scales. Correlations between RAND-36 Physical Functioning (PF) scale and all five scales in the GIS were poor (Spearman rank correlation coefficients: -0.2355 to 0.0426), implying that GIS does not measure impact of gout on physical health. Conclusion The GIS is valid and reliable for assessing gout-specific psychosocial functioning in a multi-ethnic Asian population.

Tan CSL, Teng GG, Chong KJ, et al. Patient Prefer Adherence. 2016;10:2249–2457.On page 2452, Table 2, the copyright statement “Use of the ©MMAS is protected by US copyright laws. Permission for use is required. A license agreement is available from: Donald E. Morisky, 14725 NE 20th St Bellevue, WA 98007, USA; dmorisky@gmail.com.9,53,54” was not included in the Note section.Read the original article&nbsp

Aim Medication non‐adherence influences outcomes of therapies for chronic diseases. Allopurinol is a cornerstone therapy for patients with gout; however, non‐adherence to allopurinol is prevalent in Singapore and limits its effectiveness. Between 2008‐2010, an adherence‐enhancing program was implemented at the rheumatology division of a public tertiary hospital. The cost‐effectiveness of this program has not been fully evaluated. With healthcare resources being finite, the value of investing in adherence‐enhancing interventions should be ascertained. This study aims to evaluate the cost‐effectiveness of this adherence‐enhancing program to inform optimal resource allocation toward better gout management. Method Adopting a real‐world data approach, we utilized patient clinical and financial records generated in their course of routine care. Intervention and control groups were identified in a standing database and matched on nine risk factors through propensity score matching. Cost and effect data were followed through 1‐2 years. A decision tree was developed in TreeAge using a societal perspective. Deterministic and probabilistic sensitivity analyses were performed to assess parameter uncertainty. Results At an assumed willingness‐to‐pay threshold of $50 000 USD ($70 000 SGD) per quality‐adjusted life year (QALY), the intervention had an 85% probability of being cost‐effective compared to routine care. The incremental cost‐effectiveness ratio was $12 866 USD per QALY for the base case and ranged from $4 139 to $21 593 USD per QALY in sensitivity analyses. Conclusion The intervention is cost‐effective in the short‐term, although its long‐term cost‐effectiveness remains to be evaluated.

Existing methods to link preference-based and profile-based health-related quality of life (HRQoL) questionnaires have their limitations. Hence, we developed a new mapping method (the mean rank method, MRM) and applied it to map the World Health Organization Quality of Life Questionnaire (WHOQOL-BREF) to the EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L). We then compared the new MRM with current methods; i.e., regression-mapped (OLS method) and equipercentile method (EPM).Singapore residents, aged ≥21 y, were recruited from the general population and 2 outpatient clinics in acute care hospitals. Performance of the MRM was evaluated using both simulation and split-sample validation ( n = 658 in training and n = 657 in validation samples). Using the training sample, we derived 3 sets of mapped EQ-5D-5L utilities based on MRM, OLS method and EPM. Using simulation and the validation sample, we compared the performance of the mapping methods in terms of distribution parameters, mean utility by strata, association with health covariates, and prediction errors at the individual level, among others.The WHOQOL-BREF Physical Health domain is the only domain significantly associated with EQ-5D-5L utilities. Simulation showed that MRM more accurately reproduced the variance and percentiles of the distribution of the observed utilities than did the OLS method or EPM. OLS method tended to underestimate the mean utility of good health states, overestimate the mean utility of poor health states, and underestimate the association with covariates. An analysis of validation sample gave similar results.In scenarios similar to the mapping of WHOQOL-BREF to the EQ-5D-5L, the MRM outperformed the OLS method and EPM in important-though not all-aspects. The simplicity and reproducibility of the MRM makes it an attractive alternative to current methods.

Background Measures of mental well-being and positive mental health (PMH) have been largely developed and used in Western populations, however, data on representative Asian communities are lacking. Using data from a population sample, this study sought to establish psychometric properties and norms of the PMH Instrument (PMH-I), a measure of positive mental health developed in Singapore. Methods We conducted a nationally representative survey among 1925 adults aged 18–79 years of Chinese, Malay, Indian or other ethnicity. Participants reported socio-demographic characteristics and completed the PMH-I along with measures of health-related quality of life (HRQoL) and psychological distress. Construct validity of the PMH-I was assessed using confirmatory factor analysis and concurrent validity was tested through correlation with other psychological measures. Normative PMH values and differences in population subgroups were estimated. Results The six-factor-higher-order structure of the PMH-I comprising six subscales of general coping, emotional support, spirituality, interpersonal skills, personal growth and autonomy and global affect was confirmed. Concurrent validity was shown through significant positive correlation of the total PMH score and its subscales with HRQoL and an inverse correlation with psychological distress. Weighted age, gender and ethnicity-specific norms were derived for the Singapore population. Total PMH was significantly higher in participants aged over 40 years as compared with 18–29 year olds and in non-Chinese ethnic groups as compared with Chinese. These differences were observed for all PMH-I subscales, with the exception of emotional support and interpersonal skills score differences by age. In contrast, gender, marital status, and education level were significantly associated with some of the subscales, but not with total PMH. Conclusions These results support the psychometric properties of the PMH-I in a multi-ethnic Asian population sample. The generalizable population-based norms support the application of the PMH-I for measuring mental health and assessing its determinants within the Singapore general population. Electronic supplementary material The online version of this article (10.1186/s12874-018-0487-9) contains supplementary material, which is available to authorized users.

Supplemental material, DS_10.1177_0272989X18756890 for Mean Rank, Equipercentile, and Regression Mapping of World Health Organization Quality of Life Brief (WHOQOL-BREF) to EuroQoL 5 Dimensions 5 Levels (EQ-5D-5L) Utilities by Hwee Lin Wee, Khung Keong Yeo, Kok Joon Chong, Eric Yin Hao Khoo and Yin Bun Cheung in Medical Decision Making

While various tyrosine kinases have been associated with the pathogenesis of hepatocellular carcinoma (HCC), the identification of a dominant therapeutic target among them remains a challenge. Here, we investigated the role of Tyro3, a relatively uncharacterized member of the TAM (Tyro3, Axl and Mer) receptor family. The present study aimed to profile and identify potential association between Tyro3 expression in HCC and cancer phenotypes. RNAs obtained from 55 HCC patients were quantified for Tyro3 expression in both cancerous tissue and the adjacent normal tissue. Expression profile was correlated with clinical data. These observations were further substantiated with in vitro HCC cell culture investigations.Tyro3 was strongly upregulated (>2-fold elevation) in the tumor tissue of ~42% of the patients. It was shown that higher expression level of Tyro3 was associated with the key tumor marker AFP, and the tumor diameter and liver injury marker ALT. Subsequent cell culture models indicated high expression in various HCC cell lines, in particular Hep3B. Gene silencing of Tyro3 in Hep3B effectively reduced cell proliferation, ERK phosphorylation and cyclin D1 expression, indicating a key in maintaining the proliferative state of these cells. Notably, silencing also suppressed the transcriptional and translational expression of HCC tumor marker AFP. Overall, these data suggest that Tyro3 contributes significantly to tumor growth, aggressiveness and liver dysfunction. Inhibition of Tyro3 and its aberrant signaling in tumors with high expression could present new opportunities for HCC treatment.