Rapid diagnostics, vaccines and therapeutics are important interventions for the management of the 2019 novel coronavirus (2019-nCoV) outbreak.It is timely to systematically review the potential of these interventions, including those for Middle East respiratory syndrome-Coronavirus (MERS-CoV) and severe acute respiratory syndrome (SARS)-CoV, to guide policymakers globally on their prioritization of resources for research and development. A systematic search was carried out in three major electronic databases (PubMed, Embase and Cochrane Library) to identify published studies in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Supplementary strategies through Google Search and personal communications were used. A total of 27 studies fulfilled the criteria for review. Several laboratory protocols for confirmation of suspected 2019-nCoV cases using real-time reverse transcription polymerase chain reaction (RT-PCR) have been published. A commercial RT-PCR kit developed by the Beijing Genomic Institute is currently widely used in China and likely in Asia. However, serological assays as well as point-of-care testing kits have not been developed but are likely in the near future. Several vaccine candidates are in the pipeline. The likely earliest Phase 1 vaccine trial is a synthetic DNA-based candidate. A number of novel compounds as well as therapeutics licensed for other conditions appear to have in vitro efficacy against the 2019-nCoV. Some are being tested in clinical trials against MERS-CoV and SARS-CoV, while others have been listed for clinical trials against 2019-nCoV. However, there are currently no effective specific antivirals or drug combinations supported by high-level evidence.

BackgroundTo cope with rising demand for healthcare services in Singapore, Regional Health Systems (RHS) comprising of health and social care providers across care settings were set up to integrate service delivery. Tasked with providing care for the western region, in 2012, the National University Health System (NUHS) – RHS developed a transitional care program for elderly patients with complex healthcare needs who consumed high levels of hospital resources. Through needs assessment, development of personalized care plans and care coordination, the program aimed to: (i) improve quality of care, (ii) reduce hospital utilization, and (iii) reduce healthcare-related costs. In this study, recognizing the need for process evaluation in conjunction with outcome evaluation, we aim to evaluate the implementation fidelity of the NUHS-RHS transitional care program to explain the outcomes of the program and to inform further development of (similar) programs.MethodsGuided by the modified version of the Conceptual Framework for Implementation Fidelity (CFIF), adherence and moderating factors influencing implementation were assessed using non-participatory observations, reviews of medical records and program databases.ResultsMost (10 out of 14) components of the program were found to be implemented with low or moderate level of fidelity. The frequency or duration of the program components were observed to vary based on the needs of users, availability of care coordinators (CC) and their confidence. Variation in fidelity was influenced predominantly by: (1) complexity of the program, (2) extent of facilitation through guiding protocols, (3) facilitation of program implementation through CCs’ level of training and confidence, (4) evolving healthcare participant responsiveness, and (5) the context of suboptimal capability among community providers.ConclusionThis is the first study to assess the context-specific implementation process of a transitional care program in the context of Southeast Asia. It provides important insights to facilitate further development and scaling up of transitional care programs within the NUHS-RHS and beyond. Our findings highlight the need for greater focus on engaging both healthcare providers and users, training CCs to equip them with the relevant skills required for their jobs, and building the capability of the community providers to implement such programs.Electronic supplementary materialThe online version of this article (10.1186/s12913-019-3980-x) contains supplementary material, which is available to authorized users.

Objective: To assess the effects of a 50% discount on low-energy density (ED) fruits and vegetables (F&V), bottled water, and diet sodas on shoppers' purchasing, food intake, and body weight. Design and Methods: A randomized, controlled trial was conducted at two Manhattan supermarkets, in which a 4-week baseline period (no discounts) preceded an 8-week intervention period (50% discount), and a 4-week follow-up period (no discounts). Twenty-four hour dietary recall, as well as body weight and body composition measures were obtained every 4 weeks. Participants (n 5 47, 33f; 14m) were overweight and obese (BMI 25) shoppers. Results: Purchasing of F&V during intervention was greater in the discount group than in the control group (P < 0.0001). Purchasing of these items by the discount group relative to the control group during follow-up was reduced from intervention (P 5 0.002), but still remained higher than during baseline (P 5 0.01), indicating a partially sustained effect. Intake of F&V increased from baseline to intervention in the discount group relative to the control group (P 5 0.037) and was sustained during follow-up. Body weight change did not differ significantly between groups, although post hoc analysis indicated a change within the discount group (21.1 kg, P 5 0.006) but not within the control group. Conclusions: Discounts of low-ED F&V led to increased purchasing and intake of those foods.

Background High utilizers (HUs) are a small group of patients who impose a disproportionately high burden on the healthcare system due to their elevated resource use. Identification of persistent HUs is pertinent as interventions have not been effective due to regression to the mean in majority of patients. This study will use cost and utilization metrics to segment a hospital-based patient population into HU groups. Methods The index visit for each adult patient to an Academic Medical Centre in Singapore during 2006 to 2012 was identified. Cost, length of stay (LOS) and number of specialist outpatient clinic (SOC) visits within 1 year following the index visit were extracted and aggregated. Patients were HUs if they exceeded the 90th percentile of any metric, and Non-HU otherwise. Seven different HU groups and a Non-HU group were constructed. The groups were described in terms of cost and utilization patterns, socio-demographic information, multi-morbidity scores and medical history. Logistic regression compared the groups’ persistence as a HU in any group into the subsequent year, adjusting for socio-demographic information and diagnosis history. Results A total of 388,162 patients above the age of 21 were included in the study. Cost-LOS-SOC HUs had the highest multi-morbidity and persistence into the second year. Common conditions among Cost-LOS and Cost-LOS-SOC HUs were cardiovascular disease, acute cerebrovascular disease and pneumonia, while most LOS and LOS-SOC HUs were diagnosed with at least one mental health condition. Regression analyses revealed that HUs across all groups were more likely to persist compared to Non-HUs, with stronger relationships seen in groups with high SOC utilization. Similar trends remained after further adjustment. Conclusion HUs of healthcare services are a diverse group and can be further segmented into different subgroups based on cost and utilization patterns. Segmentation by these metrics revealed differences in socio-demographic characteristics, disease profile and persistence. Most HUs did not persist in their high utilization, and high SOC users should be prioritized for further longitudinal analyses. Segmentation will enable policy makers to better identify the diverse needs of patients, detect gaps in current care and focus their efforts in delivering care relevant and tailored to each segment. Electronic supplementary material The online version of this article (10.1186/s12913-019-4239-2) contains supplementary material, which is available to authorized users.

Background With increasing type 2 diabetes prevalence, there is a need for effective programs that support diabetes management and improve type 2 diabetes outcomes. Mobile health (mHealth) interventions have shown promising results. With advances in wearable sensors and improved integration, mHealth programs could become more accessible and personalized. Objective The study aimed to evaluate the feasibility, acceptability, and effectiveness of a personalized mHealth-anchored intervention program in improving glycemic control and enhancing care experience in diabetes management. The program was coincidentally implemented during the national-level lockdown for COVID-19 in Singapore, allowing for a timely study of the use of mHealth for chronic disease management. Methods Patients with type 2 diabetes or prediabetes were enrolled from the Singapore Armed Forces and offered a 3-month intervention program in addition to the usual care they received. The program was standardized to include (1) in-person initial consultation with a clinical dietitian; (2) in-person review with a diabetes specialist doctor; (3) 1 continuous glucose monitoring device; (4) access to the mobile app for dietary intake and physical activity tracking, and communication via messaging with the dietitian and doctor; and (5) context-sensitive digital health coaching over the mobile app. Medical support was rendered to the patients on an as-needed basis when they required advice on adjustment of medications. Measurements of weight, height, and glycated hemoglobin A1c (HbA1c) were conducted at 2 in-person visits at the start and end of the program. At the end of the program, patients were asked to complete a short acceptability feedback survey to understand the motivation for joining the program, their satisfaction, and suggestions for improvement. Results Over a 4-week recruitment period, 130 individuals were screened, the enrollment target of 30 patients was met, and 21 patients completed the program and were included in the final analyses; 9 patients were lost to follow-up (full data were not available for the final analyses). There were no differences in the baseline characteristics between patients who were included and excluded from the final analyses (age category: P=.23; gender: P=.21; ethnicity: P>.99; diabetes status category: P=.52, medication adjustment category: P=.65; HbA1c category: P=.69; BMI: P>.99). The 21 patients who completed the study rated a mean of 9.0 out of 10 on the Likert scale for both satisfaction questions. For the Yes-No question on benefit of the program, all of the patients selected “Yes.” Mean HbA1c decreased from 7.6% to 7.0% (P=.004). There were no severe hypoglycemia events (glucose level <3.0 mmol/L) reported. Mean weight decreased from 76.8 kg to 73.9 kg (P<.001), a mean decrease of 3.5% from baseline weight. Mean BMI decreased from 27.8 kg/m2 to 26.7 kg/m2 (P<.001). Conclusions The personalized mHealth program was feasible, acceptable, and produced significant reductions in HbA1c (P=.004) and body weight (P<.001) in individuals with type 2 diabetes. Such mHealth programs could overcome challenges posed to chronic disease management by COVID-19, including disruptions to in-person health care access.

The ARS FHC-Q has acceptable validity and reliability for collecting data on EBRBs and associated psychosocial determinants for upper-elementary students.

Objective: Assess impact of school lunch environmental factors on fruit and vegetable (F&V) consumption in second and third grade students. Design: Cross-sectional observations in 1 school year. Participants: Students from 14 elementary schools in 4 New York City boroughs (n = 877 student-tray observations). Main Outcome Measure(s): Dependent variables were F&V consumption collected by visual observation. Independent variables included school lunch environmental factors, and individual-level and schoollevel demographics. Analysis: Hierarchical linear modeling was used with F&V consumption as the outcome variable, and relevant independent variables included in each model. Results: Slicing or precutting of fruits and having lunch after recess were positively associated (P < .05) with .163-and .080-cup higher fruit consumption across all students, respectively. Preplating of vegetables on lunch trays, having 2 or more vegetable options, and having lunch after recess were positively associated (P <.05) with .024-, .009-, and .007-cup higher vegetable consumption across all students, respectively. Conclusions and Implications: Although there was a small increase in intake, results of the study support that some school lunch environmental factors affect children's F&V consumption, with some factors leading to more impactful increases than others. Slicing of fruits seems most promising in leading to greater fruit consumption and should be further tested.

Objective Assess the effect of a 50% discount on fruits and vegetables (F&V) on the purchase and intake of F&V and on psychosocial determinants of F&V intake: self-efficacy (SE), stages of change (SOC), and perceived barriers (PB). Methods This randomized controlled trial was conducted in local supermarkets over 16-weeks, including a 4-week baseline, 8-week discount intervention, and 4-week follow-up. Shoppers with overweight or obesity (BMI>25) were randomized to receive a discount or no discount via their reward scan card after the baseline. Twenty-four hour recalls and psychosocial measures were obtained for each study period. Results Purchases (p<0.0005) and intakes of F&V (p = 0.019) increased significantly during the intervention, only F&V intake was sustained at follow-up. The discount intervention increased SE (p<0.01) and SOC (p<0.05), and did not decrease PB (p = 0.057), during the intervention. SOC mediated the discount intervention effect on F&V intake (p<0.05) during the intervention, explaining 43% of variance. Conclusion A supermarket discount intervention led to increases in purchases and intakes of F&V, and the psychosocial factors SE and SOC, and did not decrease PB. The discount intervention prompted participants to move from the preparation to action stage of SOC, which acted as a mediator for increased F&V intake.