scholarly journals A survey on the attitudes of parents with young children on in-home monitoring technologies and study designs for infant research

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245793
Author(s):  
Laurel A. Fish ◽  
Emily J. H. Jones

Remote in-home infant monitoring technologies hold great promise for increasing the scalability and safety of infant research (including in regard to the current Covid-19 pandemic), but remain rarely employed. These technologies hold a number of fundamental challenges and ethical concerns that need addressing to aid the success of this fast-growing field. In particular, the responsible development of such technologies requires caregiver input. We conducted a survey of the opinions of 410 caregivers on the viability, privacy and data access of remote in-home monitoring technologies and study designs. Infant-friendly wearable devices (such as sensing body suits) were viewed favourably. Caregivers were marginally more likely to accept video and audio recording in the home if data was anonymised (through automated processing) at point of collection, particularly when observations were lengthy. Caregivers were more open to international data sharing for anonymous data. Caregivers were interested in viewing all types of data, but were particularly keen to access video and audio recordings for censoring purposes (i.e., to delete data segments). Taken together, our results indicate generally positive attitudes to remote in-home monitoring technologies and studies for infant research but highlight specific considerations such as safety, privacy and family practicalities (e.g. multiple caregivers, visitors and varying schedules) that must be taken into account when developing future studies.

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
B Pais ◽  
P Buluschek ◽  
T Nef ◽  
N Schütz ◽  
H Saner ◽  
...  

Abstract Background In Europe, population ageing is increasing the healthcare needs and costs. Both frailty and chronic diseases affecting older people reduce their ability to live independently. However, most older people prefer to age in their own homes. New development of in-home monitoring can play a role in staying independent, active and healthy. Our objective was to evaluate a new in-home monitoring system among home-dwelling older adults (OA), their family caregivers (FC), and their healthcare providers (HCP) for the support of home care. Methods The system continuously monitored OA’s daily activities (e.g., mobility, sleep habits, fridge visits, door events) at home by ambient sensor system (DomoCare®) and health-related events by wearable sensors (Fitbit®, ECG). In case of deviations in daily activities (e.g., changes in mobility), alerts were transmitted to HCP via email. Using specific questionnaires, the opinion of 13 OA, 13 FC, and 20 HCP were collected at the end of 12-month of follow-up focusing on their user experience and the impact of in-home monitoring on home care services. Results These preliminary results underlined that the majority of OA, FC, and HCP consider that in-home sensors can help staying at home, improving home care, reducing family stress, and preventing domestic accidents. The opinion tended to be more favourable toward ambient sensors (80%) than toward Fitbit® (67%) and ECG (64%). On average, OA (80%) and FC (73%) tended to be more enthusiast than HCP (63%). Some barriers reported by HCP were a fear of weakening of the relationship with OA and an excessive surveillance. Conclusions Overall, the opinion of OA, FC and HCP were positive related to in-home sensors, with HCP being more mixed about their use in clinical practice. Key messages In-home monitoring technologies seem to be generally well accepted. In-home monitoring technologies could be help facilitating home care of older people.


1997 ◽  
Vol 12 (2) ◽  
pp. 79-92
Author(s):  
James H. Jose ◽  
Saul M. Adler ◽  
William G. Keyes ◽  
James M. Bradford

Computer information systems are expected to soon take the place of current paper charting practices, and they offer great promise to assist management of the considerable amounts of data encountered in the information-rich environment of intensive care units (ICUs). Efforts to create an electronic medical record (EMR) have been underway for more than two decades, and major national organizations, such as the Institute of Medicine, have issued recommendations on standards. Benefits of an EMR include a legible patient record, enhanced communication, provision of timely reminders and alerts to clinicians, reduction of calculation errors, access to data bases for quality assurance and research, reduced healthcare costs, and improved patient outcomes. Despite these benefits, successful EMR implementations have been confined to a few committed institutions, and expensive failures have occurred. Practitioners of neonatology and pediatric intensive care are likely to have substantial difficulty implementing an EMR to fit their specialized needs because most experience in this area has been gained through care of adult patients, and systems being developed are oriented toward nonpediatric patients. It is therefore important to examine experience thus far with the functional components of an EMR so practitioners will be able to evaluate systems better as they become available. System components discussed include nursing charting facilities, lab reporting, physician order entry, physician progress notes, structured reports, decision support systems, and problem list management. Other concerns discussed include research and quality assurance functions, data access and confidentiality issues, and electronic mail. Maximizing the “structured data” content, as opposed to narrative content of an EMR, is an important priority, and progress on developing a uniform medical language is discussed. An approach to evaluating clinical information systems for use in the ICU is presented; it should assist practitioners of pediatric critical care and neonatology in identifying computer-based charting solutions that are optimal for infants and children, while cooperating with medical center-wide needs for compatibility and a common data base.


2020 ◽  
Vol 26 (8) ◽  
pp. 1176-1182 ◽  
Author(s):  
Sara Gerke ◽  
Carmel Shachar ◽  
Peter R. Chai ◽  
I. Glenn Cohen

2020 ◽  
Vol 36 (12) ◽  
pp. 3941-3943 ◽  
Author(s):  
Robel Kahsay ◽  
Jeet Vora ◽  
Rahi Navelkar ◽  
Reza Mousavi ◽  
Brian C Fochtman ◽  
...  

Abstract Summary Glycoinformatics plays a major role in glycobiology research, and the development of a comprehensive glycoinformatics knowledgebase is critical. This application note describes the GlyGen data model, processing workflow and the data access interfaces featuring programmatic use case example queries based on specific biological questions. The GlyGen project is a data integration, harmonization and dissemination project for carbohydrate and glycoconjugate-related data retrieved from multiple international data sources including UniProtKB, GlyTouCan, UniCarbKB and other key resources. Availability and implementation GlyGen web portal is freely available to access at https://glygen.org. The data portal, web services, SPARQL endpoint and GitHub repository are also freely available at https://data.glygen.org, https://api.glygen.org, https://sparql.glygen.org and https://github.com/glygener, respectively. All code is released under license GNU General Public License version 3 (GNU GPLv3) and is available on GitHub https://github.com/glygener. The datasets are made available under Creative Commons Attribution 4.0 International (CC BY 4.0) license. Supplementary information Supplementary data are available at Bioinformatics online.


2018 ◽  
Vol 42 (2) ◽  
pp. 203 ◽  
Author(s):  
Sze-Ee Soh ◽  
Renata Morello ◽  
Sheral Rifat ◽  
Caroline Brand ◽  
Anna Barker

Objectives The aim of the present study was to explore nurse perceptions of safety climate in acute Australian hospitals. Methods Participants included 420 nurses who have worked on 24 acute wards from six Australian hospitals. The Safety Attitudes Questionnaire (SAQ) Short Form was used to quantify nurse perceptions of safety climate and benchmarked against international data. Generalised linear mixed models were used to explore factors that may influence safety climate. Results On average, 53.5% of nurses held positive attitudes towards job satisfaction followed by teamwork climate (50.5%). There was variability in SAQ domain scores across hospitals. The safety climate and perceptions of hospital management domains also varied across wards within a hospital. Nurses who had worked longer at a hospital were more likely to have poorer perceptions of hospital management (β = –5.2; P = 0.014). Overall, nurse perceptions of safety climate appeared higher than international data. Conclusions The perceptions of nurses working in acute Victorian and New South Wales hospitals varied between hospitals as well as across wards within each hospital. This highlights the importance of surveying all hospital wards and examining the results at the ward level when implementing strategies to improve patient safety and the culture of safety in organisations. What is known about the topic? Prior studies in American nursing samples have shown that hospitals with higher levels of safety climate have a lower relative incidence of preventable patient complications and adverse events. Developing a culture of safety in hospitals may be useful in targeting efforts to improve patient safety. What does this paper add? This paper has shown that the perceptions of safety climate among nurses working in acute Australian hospitals varied between hospitals and across wards within a hospital. Only half the nurses also reported positive attitudes towards job satisfaction and teamwork climate. What are the implications for practitioners? Programs or strategies that aim to enhance teamwork performance and skills may be beneficial to improving the culture of safety in hospitals. Wards may also have their own safety ‘subculture’ that is distinct from the overall hospital safety culture. This highlights the importance of tailoring and targeting quality improvement initiatives at the ward level.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 664-664
Author(s):  
Christian Wrede ◽  
Annemarie Braakman-Jansen ◽  
Lisette van Gemert-Pijnen

Abstract While most people with dementia prefer to live at home for as long as possible, this also puts more pressure on both their informal and formal care network. To provide support in home-based dementia care, there is growing interest in technology that allows caregivers to remotely monitor health and safety of people with dementia. Novel generations of these technologies are using non-wearable, pervasive sensors coupled with algorithms to continuously collect and model meaningful in-home information. However, while these self-learning monitoring systems develop rapidly, their target users’ views and demands are still insufficiently mapped out. To identify possible barriers to acceptance and ways to overcome these, we conducted a scenario-based study, including semi-structured interviews with informal caregivers (n=19) and focus groups with home care professionals (n=16) of community-dwelling people with dementia. Inductive qualitative content analysis revealed that both groups of caregivers were concerned about the informational privacy of their care recipient with dementia, information overload, and ethical issues related to dehumanizing care. Identified demands mainly centered around how to overcome these barriers. We identified several demands related to specific functionalities, user experience factors, services surrounding the technology, and integration into the existing work context. Most notably, caregivers highlighted the importance of introducing AI-driven in-home monitoring technologies in a way it prevents them from feeling undervalued. In conclusion, our findings can help to inform the development of more acceptable and unobtrusive in-home monitoring technologies to support home-based dementia care.


Author(s):  
P. V. Trifonov ◽  
R. V. Seryshev

Purpose of research is to identify the most important technologies of the digital economy that affect the development of supply chain management systems. The development of modern organizations of the latest technologies will improve the level of competitiveness and bring business to the path of sustainable growth.The structure of the latest technologies of supply chain management systems is described on the principles of the system approach, and their role and degree of impact on the development of the object under study is indicated. The direction of development of supply chain management systems is indicated.Ìobile data access for consumers, predictive analysis, sensory monitoring technologies, and partially localization technologies are the most critical technologies that provide the threshold of competitiveness growth for modern organizations engaged in logistics.The structure and interrelation of technologies, as well as understanding of the degree of technology impact on the development of supply chain management systems will allow to build further research based on an understanding of the already formed hierarchy of objects under study. The results of this review will be able to influence the management decision-making in the field of selecting new technologies to improve the organization's own logistics systems.


Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6249
Author(s):  
Yuriko Nakaoku ◽  
Soshiro Ogata ◽  
Shunsuke Murata ◽  
Makoto Nishimori ◽  
Masafumi Ihara ◽  
...  

In-home monitoring systems have been used to detect cognitive decline in older adults by allowing continuous monitoring of routine activities. In this study, we investigated whether unobtrusive in-house power monitoring technologies could be used to predict cognitive impairment. A total of 94 older adults aged ≥65 years were enrolled in this study. Generalized linear mixed models with subject-specific random intercepts were used to evaluate differences in the usage time of home appliances between people with and without cognitive impairment. Three independent power monitoring parameters representing activity behavior were found to be associated with cognitive impairment. Representative values of mean differences between those with cognitive impairment relative to those without were −13.5 min for induction heating in the spring, −1.80 min for microwave oven in the winter, and −0.82 h for air conditioner in the winter. We developed two prediction models for cognitive impairment, one with power monitoring data and the other without, and found that the former had better predictive ability (accuracy, 0.82; sensitivity, 0.48; specificity, 0.96) compared to the latter (accuracy, 0.76; sensitivity, 0.30; specificity, 0.95). In summary, in-house power monitoring technologies can be used to detect cognitive impairment.


2019 ◽  
Vol 35 (4) ◽  
pp. 334-339
Author(s):  
Jessica P. Lee ◽  
Georgina Freeman ◽  
Michelle Cheng ◽  
Lauren Brown ◽  
Hector De la Hoz Siegler ◽  
...  

AbstractObjectivesWe sought to assess the presence and reporting quality of peer-reviewed literature concerning the accuracy, precision, and reliability of home monitoring technologies for vital signs and glucose determinations in older adult populations.MethodsA narrative literature review was undertaken searching the databases Medline, Embase, and Compendex. Peer-reviewed publications with keywords related to vital signs, monitoring devices and technologies, independent living, and older adults were searched. Publications between the years 2012 and 2018 were included. Two reviewers independently conducted title and abstract screening, and four reviewers independently undertook full-text screening and data extraction with all disagreements resolved through discussion and consensus.ResultsTwo hundred nine articles were included. Our review showed limited assessment and low-quality reporting of evidence concerning the accuracy, precision, and reliability of home monitoring technologies. Of 209 articles describing a relevant device, only 45 percent (n = 95) provided a citation or some evidence to support their validation claim. Of forty-eight articles that described the use of a comparator device, 65 percent (n = 31) used low-quality statistical methods, 23 percent (n = 11) used moderate-quality statistical methods, and only 12 percent (n = 6) used high-quality statistical methods.ConclusionsOur review found that current validity claims were based on low-quality assessments that do not provide the necessary confidence needed by clinicians for medical decision-making purposes. This narrative review highlights the need for standardized health technology reporting to increase health practitioner confidence in these devices, support the appropriate adoption of such devices within the healthcare system, and improve health outcomes.


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