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.

A B S T R A C TBackground: Human respiratory syncytial virus (RSV) is one of the most important pathogens that cause acute respiratory infections in children and immunocompromised adults. This work was conducted to understand the epidemiological and phylogenetic features of RSV in southern China during 2011-2016. Methods: A total of 16 024 nasopharyngeal swabs were collected from patients with respiratory infections in 14 hospitals, and screened for RSV and seven other respiratory viruses using real-time PCR. Six hundred and twenty-three RSV-positive samples from 13 hospitals were further analyzed for subtypes. G gene sequencing and phylogenetic analysis were performed based on 46 RSV-A and 15 RSV-B strains. Results: RSV was detected in 9.5% of the 16 024 specimens, the highest among the eight respiratory viruses screened. Most of these specimens came from inpatients and children under 3 years of age. The incidence of RSV-A (9.4%) was higher than that of RSV-B (4.4%) in children (<15 years), but not in adults (0.64% vs. 0.58%). A 2-year RSV-A dominance followed by a 1-year RSV-B dominance pattern was found. The co-detection rate of RSV was 25.1%. The main prevalent genotypes were NA1, ON1, and BA9. The prevalent RSV-A genotype in 2011-2012 was NA1, close to Chongqing and Brazil, but a new Hong Kong ON1 genotype was introduced and became the prevalent genotype in Guangzhou in 2014-2015. Deduced amino acid sequence analysis confirmed the ongoing evolution and a high selection pressure of RSV-A and B strains, especially in RSV-A ON1 and NA1 genotypes. Conclusions: This study demonstrated the molecular epidemiological characteristics of RSV in patients with respiratory infections in southern China.

BackgroundFew studies have comprehensively described tropical respiratory disease surveillance in military populations. There is also a lack of studies comparing clinical characteristics of the non-influenza pathogens with influenza and amongst themselves.MethodsFrom May 2009 through October 2012, 7733 consenting cases of febrile respiratory illness (FRI) (temperature [greater than or equal to]37.5degreesC with cough or sorethroat) and controls in the Singapore military had clinical data and nasal washes collected prospectively. Nasal washes underwent multiplex PCR, and the analysis was limited to viral mono-infections.Results49% of cases tested positive for at least one virus, of whom 10% had multiple infections. 53% of the FRI cases fulfilled the definition of influenza-like illness (ILI), of whom 52% were positive for at least one virus. The most frequent etiologies for mono-infections among FRI cases were Influenza A(H1N1)pdm09 (13%), Influenza B (13%) and coxsackevirus (9%). The sensitivity, specificity, positive predictive value and negative predictive value of ILI for influenza among FRI cases were 72%, 48%, 40% and 69% respectively. On logistic regression, there were marked differences in the prevalence of different symptoms and signs between viruses with fever more prevalent amongst influenza and adenovirus infections than other viruses.ConclusionThere are multiple viral etiologies for FRI and ILI with differing clinical symptoms in the Singapore military. Influenza and coxsackevirus were the most common etiology for FRI, while influenza and adenoviruses displayed the most febrile symptoms. Further studies should explore these differences and possible interventions.

Background: Dexmedetomidine is widely used for non-invasive pediatric procedural sedation. However, the hemodynamic effects of intravenous dexmedetomidine are a concern. There has been a growing interest in the application of intranasal dexmedetomidine as a sedative in children. Objective: To investigate the incidence of bradycardia in children undergoing intranasal dexmedetomidine sedation and to identify the associated risk factors. Methods: Data pertaining to pediatric patients who underwent intranasal dexmedetomidine sedation for non-invasive investigations at the Kunming Children's Hospital between October 2017 and August 2018 were retrospectively analyzed. Results: Out of 9984 children who qualified for inclusion, 228 children (2.3%) developed bradycardia. The incidence of bradycardia in the group that received additional dose of dexmedetomidine was higher than that in the group that did not receive additional dose (9.2% vs 16.7%; P = .003). The incidence of bradycardia in males was higher than that in females (2.6% vs 1.8%; P = .007). On multivariate logistic regression, only male gender showed an independent association with the occurrence of bradycardia (odds ratio 1.48; 95% confidence interval 1.11-1.97; P = .008). Conclusions: The overall incidence of bradycardia in children after sole use of intranasal dexmedetomidine sedation was 2.3%. Male children showed a 1.48-fold higher risk of bradycardia. However, the blood pressure of the children who developed bradycardia was within the normal range. Simple wake-up can effectively manage bradycardia induced by intranasal dexmedetomidine sedation. How to cite this article: Lei H, Chao L, Miao T, et al. Incidence and risk factors of bradycardia in pediatric patients undergoing intranasal dexmedetomidine sedation.

The incidence of hemorrhagic fever with renal syndrome (HFRS) in Hu County ranked third of all counties in China in 2010. Although this county has provided a HFRS vaccination program freely since 1994, the impact of HFRS remains quite substantial. In order to continue the vaccination program effectively and control HFRS, a detailed understanding of the effect of the vaccination program should be undertaken. The Cochran-Armitage trend test was employed to examine the temporal trends of HFRS incidences, mortality rate and vaccination compliance. Temporal cluster analysis was performed to detect time periods of high HFRS risk. Cross correlation analysis was conducted to detect the correlation between HFRS incidence and vaccination compliance. Wavelet analysis was employed to detect the shift of the periodicity of HFRS. Between 1971 and 2011, the HFRS incidence and mortality rate ranged from 9.53/100,000 to 300.57/100,000 and 0 to 24.91/100,000, respectively, with a fluctuating but distinctly declining trend (incidence: Z=-34.38, P<0.01; mortality rate: Z=-23.44, P<0.01). The vaccination compliance ranged from 4.55% to 83.67%, with a distinctly increasing trend (Z=1621.70, P<0.01). The most likely temporal cluster of the HFRS epidemic was between 1983 and 1988 (RR=3.44, P<0.01) or 1979-1988 (RR=3.18, P<0.01) with different maximum temporal cluster size. There was a negative correlation between HFRS incidence and vaccination compliance when the lagged year was 1 and 2 (cross correlation coefficient=-0.51 and -0.55). The periodicity of HFRS epidemic was prolonged from about 5 years during 1976-1988 to 15 years after 1988, especially after the start of HFRS vaccination in 1994. In conclusion, the increase in vaccination compliance may play an important role in HFRS control and prevention in Hu County, China.

Accepted ManuscriptTitle: The emergence of community-onset Clostridium difficile infection in a tertiary hospital in Singapore: a cause for concern Author: X.Q. Tan This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.Page 1

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