METHODS: Participants (N = 2071) from Hong Kong, the Philippines, Australia, and the U.S.A. completed an online survey assessing their preferences for exchange of information, autonomy in decision-making, expression and validation of their emotions, focus on them as an individual, and the doctor-patient relationship.
RESULTS: Participants from all four countries had similar preferences for empathy and shared decision-making. For other facets of PCC, participants in the Philippines and Australia expressed somewhat similar preferences, as did those in the U.S.A. and Hong Kong, challenging East-West stereotypes. Participants in the Philippines placed greater value on relationships, whereas Australians valued more autonomy. Participants in Hong Kong more commonly preferred doctor-directed care, with less importance placed on the relationship. Responses from U.S.A. participants were surprising, as they ranked the need for individualized care and two-way flow of information as least important.
CONCLUSIONS: Empathy, information exchange, and shared decision-making are values shared across countries, while preferences for how the information is shared, and the importance of the doctor-patient relationship differ.
METHODS: A cross-sectional randomized intervention study over 12 months' duration was conducted in university hospital simulation lab. ACLS-certified medical doctors were assigned to run 2 standardized simulated resuscitation code as RTL from a head-end position (HEP) and leg-end position (LEP). They were evaluated on leadership qualities including situational attentiveness (SA), errors detection (ED), and decision making (DM) using a standardized validated resuscitation-code-checklist (RCC). Performance was assessed live by 2 independent raters and was simultaneously recorded. RTL self-perceived performance was compared to measured performance.
RESULTS: Thirty-four participants completed the study. Mean marks for SA were 3.74 (SD ± 0.96) at HEP and 3.54 (SD ± 0.92) at LEP, P = .48. Mean marks for ED were 2.43 (SD ± 1.24) at HEP and 2.21 (SD ± 1.14) at LEP, P = .40. Mean marks for DM were 4.53 (SD ± 0.98) at HEP and 4.47 (SD ± 0.73) at LEP, P = .70. The mean total marks were 10.69 (SD ± 1.82) versus 10.22 (SD ± 1.93) at HEP and LEP respectively, P = .29 which shows no significance difference in all parameters. Twenty-four participants (71%) preferred LEP for the following reasons, better visualization (75% of participants); more room for movement (12.5% of participants); and better communication (12.5% of participants). RTL's perceived performance did not correlate with actual performance CONCLUSION:: The physical position either HEP or LEP appears to have no influence on performance of RTL in simulated cardiac resuscitation. RTL should be aware of the advantages and limitations of each position.
METHODS: We conducted a household survey in Nahuche, Zamfara State in northern Nigeria. Nearly two hundred parents with children under age five were asked about their views on 16 factors using a BWS technique. These factors focused on known attributes that influence the demand for childhood immunization, which were identified from a literature review and reviewed by a local advisory board. The survey systematically presented parents with subsets of six factors and asked them to choose which they think are the most and least important in decisions to vaccinate children. We used a sequential best-worst analysis with conditional logistic regression to rank factors.
RESULTS: The perception that vaccinating a child makes one a good parent was the most important motivation for parents in northern Nigeria to vaccinate children. Statements related to trust and social norms were ranked higher in importance compared to those that highlighted perceived benefits and risks, healthcare service, vaccine information, or opportunity costs. Fathers ranked trust in the media and views of their leaders to be of greatest importance, whereas mothers placed greater importance on social perceptions and norms. Parents of children without routine immunization ranked their trust in local leaders about vaccines higher in considerations, and the media's views lower, compared to parents with children who received routine immunization.
CONCLUSIONS: Framing immunization messages in the context of good parenting and hearing these messages from trusted information sources may motivate parental uptake of childhood vaccines. These results are useful to policymakers to prioritize resources in order to increase awareness and demand for childhood immunization.
METHODS: A systematic review was performed for economic burden studies in schizophrenia using four electronic databases (Medline, EMBASE, PsycINFO, and EconLit) from inception to August 31, 2014.
RESULTS: A total of 56 articles were included in this review. More than 80% of the studies were conducted in high-income countries. Most studies had undertaken a retrospective- and prevalence-based study design. The bottom-up approach was commonly employed to determine cost, while human capital method was used for indirect cost estimation. Database and literature were the most commonly used data sources in cost estimation in high-income countries, while chart review and interview were the main data sources in low and middle-income countries. Annual costs for the schizophrenia population in the country ranged from US$94 million to US$102 billion. Indirect costs contributed to 50%-85% of the total costs associated with schizophrenia. The economic burden of schizophrenia was estimated to range from 0.02% to 1.65% of the gross domestic product.
CONCLUSION: The enormous economic burden in schizophrenia is suggestive of the inadequate provision of health care services to these patients. An informed decision is achievable with the increasing recognition among public and policymakers that schizophrenia is burdensome. This results in better resource allocation and the development of policy-oriented research for this highly disabling yet under-recognized mental health disease.
OBJECTIVE: This systematic review aims to provide a critical summary of EEs of PCVs and identify key drivers of EE findings in LMICs.
METHODS: We searched Scopus, ISI Web of Science, PubMed, Embase and Cochrane Central from their inception to 30 September 2015 and limited the search to LMICs. The search was undertaken using the search strings 'pneumococc* AND conjugat* AND (vaccin* OR immun*)' AND 'economic OR cost-effectiveness OR cost-benefit OR cost-utility OR cost-effectiveness OR cost-benefit OR cost-utility' in the abstract, title or keyword fields. To be included, each study had to be a full EE of a PCV and conducted for an LMIC. Studies were extracted and reviewed by two authors. The review involved standard extraction of the study overview or the characteristics of the study, key drivers or parameters of the EE, assumptions behind the analyses and major areas of uncertainty.
RESULTS: Out of 134 records identified, 22 articles were included. Seven studies used a Markov model for analysis, while 15 studies used a decision-tree analytic model. Eighteen studies performed a cost-utility analysis (CUA), with disability-adjusted life-years, quality-adjusted life-years or life-years gained as a measure of health outcome, while four studies focused only on cost-effectiveness analysis (CEA). Both CEA and CUA findings were provided by eight studies. Herd effects and serotype replacement were considered in 10 and 13 studies, respectively. The current evidence shows that both the 10-valent and 13-valent PCVs are probably cost effective in comparison with the 7-valent PCV or no vaccination. The most influential parameters were vaccine efficacy and coverage (in 16 of 22 studies), vaccine price (in 13 of 22 studies), disease incidence (in 11 of 22 studies), mortality from IPD and pneumonia (in 8 of 22 studies) and herd effects (in 4 of 22 studies). The findings were found to be supportive of the products owned by the manufacturers.
CONCLUSION: Our review demonstrated that an infant PCV programme was a cost-effective intervention in most LMICs (in 20 of 22 studies included). The results were sensitive to vaccine efficacy, price, burden of disease and sponsorship. Decision makers should consider EE findings and affordability before adoption of PCVs.
METHODS: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks.
RESULTS: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.
OBJECTIVE: This paper aimed to describe the development process of the COVID-19 Symptom Monitoring System (CoSMoS), which consists of a self-monitoring, algorithm-based Telegram bot and a teleconsultation system. We describe all the essential steps from the clinical perspective and our technical approach in designing, developing, and integrating the system into clinical practice during the COVID-19 pandemic as well as lessons learned from this development process.
METHODS: CoSMoS was developed in three phases: (1) requirement formation to identify clinical problems and to draft the clinical algorithm, (2) development testing iteration using the agile software development method, and (3) integration into clinical practice to design an effective clinical workflow using repeated simulations and role-playing.
RESULTS: We completed the development of CoSMoS in 19 days. In Phase 1 (ie, requirement formation), we identified three main functions: a daily automated reminder system for patients to self-check their symptoms, a safe patient risk assessment to guide patients in clinical decision making, and an active telemonitoring system with real-time phone consultations. The system architecture of CoSMoS involved five components: Telegram instant messaging, a clinician dashboard, system administration (ie, back end), a database, and development and operations infrastructure. The integration of CoSMoS into clinical practice involved the consideration of COVID-19 infectivity and patient safety.
CONCLUSIONS: This study demonstrated that developing a COVID-19 symptom monitoring system within a short time during a pandemic is feasible using the agile development method. Time factors and communication between the technical and clinical teams were the main challenges in the development process. The development process and lessons learned from this study can guide the future development of digital monitoring systems during the next pandemic, especially in developing countries.