Perception of middle-aged and older adults towards mHealth apps: A comparative factor analysis between Australia and Germany.

OBJECTIVE: Although evidence of the global effectiveness and usability of mobile health (mHealth) apps as non-drug interventions is growing, older adults often demonstrate low adoption rates of these apps. This study aims to identify the perspectives of older adults on introducing and adopting mHealth apps in Australia and Germany. MATERIALS AND METHODS: We conducted two online cross-sectional surveys to examine factors from contextual, technological and personal perspectives that influence older adults in mHealth app adoption. Using descriptive statistics, chi-square tests and exploratory factor analysis, we identified the differences and similarities between respondents' perspectives across two countries. RESULTS: A total of 290 respondents (149, Australia; 141, Germany) completed the survey. Older adults' ability to use a mHealth app, the user-friendliness of the app, their positive self-efficacy regarding their health and resource availability for using mHealth apps were related to intended adoption. Differences between Germany and Australia were found in issues concerned with data sharing and empowerment by the doctor, while similarities were related to trust in the doctor and their treatment approaches. DISCUSSION AND CONCLUSION: This study highlights participants' perspectives and attitudes towards mHealth app use, unmet needs and barriers, and the facilitating influences in the two countries. These insights can be used to inform the development and implementation of mHealth apps and to construct tailored strategies to increase the adoption rates of mHealth apps among older adults and to maximise their potential benefits.

Association between continued metformin use during hospital admission and hospital-acquired complications.

AIMS: The safety of continuing metformin during a hospital admission has not been robustly demonstrated. We evaluated the association of continuing metformin in hospital with the risk for a hospital-acquired complication (HAC). METHODS: This is a retrospective observational study of patients admitted to a medical or surgical ward. We considered those with diabetes who continued metformin (DM/MET group), those who discontinued metformin upon admission (DM/MET-STOP), and those with diabetes not on metformin just prior to and during admission (DM/NoMET). We prepared propensity score-matched (PSM) control groups from admitted patients without diabetes. The likelihood of a HAC was determined using a Kaplan-Meier survival analysis. A Cox proportional hazards model was employed to calculate the hazard ratio, adjusted for covariates. RESULTS: Of the 4446 (14%) patients with diabetes, 3331 (10%) were prescribed metformin on admission, and it was continued in 2557 patients. HAC occurred in 5.5% of DM/MET group and 6.4% of the PSM control group. Continuation of metformin was associated with a lower likelihood of HAC, adjusted hazard ratio 0.85 (95% CI 0.69, 1.04), p = 0.117 compared to a PSM-matched control group without diabetes. The DM/NoMET and DM/MET-STOP groups had an increased risk for HAC, adjusted HR 1.77 (1.44, 2.18), p < 0.001 and 2.57 (2.10, 3.13), p < 0.001, as compared to their respective PSM control groups. CONCLUSION: An individualized assessment to continue metformin during hospital admission was associated with a reduced likelihood of HAC, with the caveat that there was limited matching to non-diabetes controls. This finding warrants further exploration.

Clinical, Genomic, and Immunological Characterization of RSV Surge in Sydney, Australia, 2022.

OBJECTIVES: The 2022 seasonal respiratory syncytial virus (RSV) epidemic in Sydney, Australia saw an unprecedented number of RSV detections. We aimed to characterize genomic and immunologic factors associated with the surge in RSV cases. METHODS: Whole genome sequences of RSV were generated from 264 RSV-infected infants and linked to case-matched clinical data from the 2022 southern hemisphere RSV season. We then performed an immunologic analysis of baseline RSV-specific humoral immunity in women of childbearing age before and throughout the coronavirus disease 2019 pandemic. RESULTS: Clinical analysis revealed a high burden of disease across patients of all health backgrounds. More than one-half of RSV-related health care visits by infants resulted in hospitalization, and one-quarter required high-flow respiratory support or a higher level of care. Viral phylogenetic analyses revealed that 2022 Sydney RSV sequences were closely related to viruses that had been circulating globally since 2017, including those detected in recent US outbreaks. Nonsynonymous mutations within the palivizumab and nirsevimab binding sites were detected at low frequencies. There was no difference in baseline RSV-neutralizing antibody titers between 2020 and 2022. CONCLUSIONS: Collectively, these findings suggest that neither the emergence of a novel RSV genotype nor hypothesized immune debt was associated with the surge of RSV cases and hospitalizations in 2022. Continued genomic and immunologic surveillance is required to further understand the factors driving outbreaks of RSV globally, and to inform guidelines for the rollout and ongoing use of recently developed immunotherapeutics and vaccines.

Classification of Long COVID from General Practitioner Diagnosis Text.

Major challenges exist in identifying Long COVID patients from diagnosis texts recorded by general practitioners. A classification framework is proposed that can be used to identify Long COVID patients given these unstructured diagnostic texts. This framework can be leveraged to provide a general understanding of the risk factors, management strategies, and outcomes associated with Long COVID in Australia.

Utilising Surrogate Models to Approximate Cardiac Potentials when Solving Inverse Problems via Bayesian Techniques.

Solving inverse problems is computationally expensive, if not infeasible, under specific scenarios. For example, many forward solutions are required when solving inverse problems using Bayesian techniques. In this work, a novel inference protocol is established, that can be used to infer the cardiac bidomain conductivities and the cardiac fibre rotation angle (bidomain parameters). This protocol uses a surrogate model, developed using generalised polynomial chaos techniques, to approximate cardiac potentials on a multi-electrode array. The resulting surrogate model is used in conjunction with Bayesian inference techniques to infer the bidomain parameters. A lower-order surrogate model (order three) can effectively characterise the influence of the extracellular conductivities and fibre rotation on the cardiac potentials; however, it is recommended that a higher-order surrogate model expansion of order seven be used to adequately characterise the influence of the intracellular conductivities as well. This seventh order surrogate model was successfully used to infer the extracellular conductivities and fibre rotation angle from a single set of synthetically generated noisy experimental potentials, while the intracellular conductivities were unable to be retrieved accurately under this scenario.

A modified approach to determine the six cardiac bidomain conductivities.

Accurate values for the six cardiac bidomain conductivities are crucial for meaningful computational studies of conduction in cardiac tissue, and are yet to be determined by experimental means. Although previous studies have proposed an approach using a multi-electrode array to measure potentials, from which the conductivities can be determined, it has been found that the conductivities cannot be retrieved consistently when the noise in the potentials varies. This paper presents a protocol, which not only has been shown to retrieve the conductivities to a reasonable accuracy, but does so under the presence of a more appropriate additive Gaussian noise model, while using fewer computational resources. Through repetitions of the protocol, a comparison of two pre-fabricated 128 electrode arrays, one array with a square arrangement of electrodes and the other with a rectangular arrangement, was made against a 75-electrode array proposed in previous studies. Results indicated that the two pre-fabricated arrays were generally more capable of obtaining the cardiac conductivities to a higher degree of accuracy than the 75-electrode array. The 128-electrode rectangular array was orientated such that the length of the array first ran along the direction of the fibres, then was reorientated such that the length of the array ran perpendicular to the direction of the fibres. The 128-electrode rectangular array, when orientated in this manner, was more capable of retrieving the conductivities than the remainder of the arrays tested, and thus we suggest this arrangement be used during experimental trials.