The Extent and Coverage of Current Knowledge of Connected Health: Systematic Mapping Study

Mapping progress in intravascular catheter quality surveillance: An Australian case study of electronic medical record data linkage

Background and significance

Intravascular (IV) catheters are the most invasive medical device in healthcare. Localized priority-setting related to IV catheter quality surveillance is a key objective of recent healthcare reform in Australia. We sought to determine the plausibility of using electronic health record (EHR) data for catheter surveillance by mapping currently available data across state-wide platforms. This work has identified barriers and facilitators to a state-wide EHR surveillance initiative.

Materials and methods

Data variables were generated and mapped from routinely used EHR sources across Queensland, Australia through a systematic search of gray literature and expert consultation with clinical information specialists. EHR systems were eligible for inclusion if they collected data related to IV catheter insertion, care, or outcomes of hospitalized patients. Generated variables were mapped against international recommendations for IV catheter surveillance, with data linkage and data export capacity narratively summarized.

Results

We identified five EHR systems, namely, iEMR, MetaVision ICU®, Multiprac, RiskMan, and the Nephrology Registry. Systems were used across jurisdictions and hospital wards. Data linkage was not evident across systems. Extraction processes for catheter data were not standardized, lacking clear and reliable extraction techniques. In combination, EHR systems collected 43/50 international variables recommended for catheter surveillance, however, individual systems collected a median of 24/50 (IQR 22, 30) variables. We did not identify integrated clinical analytic systems (incorporating machine learning) to support clinical decision making or for risk stratification (e.g., catheter-related infection).

Conclusion

Current data linkage across EHR systems limits the development of an IV catheter quality surveillance system to provide timely data related to catheter complications and harm. To facilitate reliable and timely surveillance of catheter outcomes using clinical informatics, substantial work is needed to overcome existing barriers and transform health surveillance.

Research contributions and challenges in DLT-based cryptocurrency regulation: a systematic mapping study

The purpose of this paper is to identify research that has been carried out about cryptocurrency regulation contributions and the current challenges that need to be addressed in future studies. The methodology used to conduct this research and report the findings was systematic mapping. We use this methodology to search, identify, and select all relevant primary studies on cryptocurrency regulation. The findings reveal that the key cryptocurrency regulation research topics are distributed governance, central bank digital currency, monetary policy, cryptocurrency adoption, security, regulation, cryptocurrency market, cybercrime economy and money laundering. The research proposals for cryptocurrency regulation comprise tools, protocols, methods, models, frameworks and, knowledge. The cryptocurrency regulatory challenges are cryptocurrency adoption, central bank digital currency regulation, accounting for cryptocurrencies and risk for cryptocurrencies. This systematic mapping provides an overview of the solutions proposed to regulate cryptocurrency as well as the current research challenges.

The relationship of socio-demographic factors and patient attitudes to connected health technologies: A survey of stroke survivors

More evidence is needed on technology implementation for remote monitoring and self-management across the various settings relevant to chronic conditions. This paper describes the findings of a survey designed to explore the relevance of socio-demographic factors to attitudes towards connected health technologies in a community of patients. Stroke survivors living in the UK were invited to answer questions about themselves and about their attitudes to a prototype remote monitoring and self-management app developed around their preferences. Eighty (80) responses were received and analysed, with limitations and results presented in full. Socio-demographic factors were not found to be associated with variations in participants' willingness to use the system and attitudes to data sharing. Individuals' levels of interest in relevant technology was suggested as a more important determinant of attitudes. These observations run against the grain of most relevant literature to date, and tend to underline the importance of prioritising patient-centred participatory research in efforts to advance connected health technologies.

Mental health crisis in Somalia: a review and a way forward

Background

Somalia has been without an effective government since the collapse of the military regime in 1991. Years of conflict, disasters, and insecurity have all contributed to very low scores for most health indicators due to poor governance, protracted conflict, underdevelopment, economic decline, poverty, social and gender inequality, and environmental degradation. The three-decade long protracted conflict has led to widespread psychosocial trauma, social deprivation and substance abuse with devastating consequences on mental health. A WHO study showed Somalia has one of the highest rates of mental illness in the world. The main aim of this study is to assist policy makers in setting priorities for the design and delivery of interventions to promote mental health and psychosocial wellbeing in Somalia.

Methods

The study uses a systematic mapping technique (from January 1991 to May 2020) and data collected from public domain, to collect, collate, and present mental health data mainly from WHO’s Global Health Observatory. Since there is no primary database for Somalia’s public health research, the bibliographic databases used for mental health in this study included Medline, PubMed, CINAHL, PsycINFO, and Google Scholar. Data were extracted using techniques for web data mining for public health.

Results

Systematic mapping of mental health-related issues in Somalia showed that policy-related determinants and mental health services dominated (74.4%), followed by the disaster-related determinants and women’s health consequences (39.3%). The ratio of the number of beds for mental health in general hospitals (per 100,000 population) in Somalia in 2017 is 0.5 compared to the Eastern Mediterranean region (EMR) at 6.4 and globally at 24. One of the biggest casualties of the civil war was loss of essential human resources in healthcare as most either fled the country or were part of the victims of the war.

Conclusions

The vast scale of the mental health problems in Somalia and the priority setting guidelines for interventions to address the issues outlined in this paper, prompt a dire need that the Somali government and its national/international partners should prioritize and emphasize the need to invest in the prevention and the treatment of mental illness across the country.

A Conceptual Framework to Design Connected Mental Health Solutions in the United Arab Emirates: Questionnaire Study

Background

Connected mental health (CMH) is a field presenting information and communications technology–based mental care interventions that could help overcome many mental care delivery barriers. Culture and background influence people’s attitudes, preferences, and acceptance of such solutions. Therefore, the suitability of CMH solutions to the targeted population is an important factor in their successful adoption.

Objective

The aim of this study is to develop a framework for the design and creation of CMH solutions suitable for the UAE context. The framework is based on investigating enablers and barriers of CMH adoption in the United Arab Emirates, from the mental health professional's (MHP) perspective and from related literature.

Methods

A survey of literature on relevant studies addressing the use of technology for mental care in Arab countries, and a web-based questionnaire-based survey with 17 MHPs practicing in the United Arab Emirates investigating their attitudes and views toward CMH was conducted. Results from the questionnaire and from related studies were analyzed to develop the design framework.

Results

On the basis of findings from the literature survey and analyzing MHP answers to the web-based survey, a framework for the design of CMH solutions for the UAE population was developed. The framework presents four types of recommendation categories: favorable criteria, which included blended care, anonymity, and ease of use; cultural factors including availability in multiple languages, mainly Arabic and English, in addition to religious and cultural considerations; technical considerations, including good-quality communication, availability in formats compatible with mobile phones, and providing technical support; and users’ health and data safety considerations, including users’ suitability testing, confidentiality, and ensuring MHP integrity.

Conclusions

CMH has the potential to help overcome many mental care barriers in the United Arab Emirates in particular and in the Arab world in general. CMH adoption in the United Arab Emirates has a potential for success. However, many factors should be taken into account, mainly cultural, religious, and linguistic aspects.

Could a Conversational AI Identify Offensive Language?

In recent years, we have seen a wide use of Artificial Intelligence (AI) applications in the Internet and everywhere. Natural Language Processing and Machine Learning are important sub-fields of AI that have made Chatbots and Conversational AI applications possible. Those algorithms are built based on historical data in order to create language models, however historical data could be intrinsically discriminatory. This article investigates whether a Conversational AI could identify offensive language and it will show how large language models often produce quite a bit of unethical behavior because of bias in the historical data. Our low-level proof-of-concept will present the challenges to detect offensive language in social media and it will discuss some steps to propitiate strong results in the detection of offensive language and unethical behavior using a Conversational AI.

Rehabilitation Needs of Head and Neck Cancer Patients and Stakeholders: Case Study

Background

The incidents of Head and Neck Cancer (HNC) are rising worldwide, suggesting that this type of cancer is becoming more common. The foreseen growth of incidents signifies that future rehabilitation services will have to meet the needs of a wider population.

Objective

The aim of this paper is to explore the needs of patients, caregivers and healthcare professionals during HNC rehabilitation.

Methods

This paper reports the empirical findings from a case study that was conducted in a cancer rehabilitation center in Copenhagen to elicit the needs of HNC cancer patients, informal caregivers and healthcare professionals.

Results

Four areas of needs during the rehabilitation process were identified: service delivery, emotional, social and physical needs. Service delivery needs and emotional needs have been identified as the most prevalent.

Conclusions

Stakeholders' needs during the rehabilitation process were found to be interrelated. All stakeholders faced service delivery challenges in the form of provision and distribution of information, including responsibilities allocation between municipalities, hospitals and rehabilitation services. Emotional and social needs have been reported by HNC patients and informal caregivers, underlining the importance of inclusion of all actors in the design of future healthcare interventions. Connected Health (CH) solutions could be valuable in provision and distribution of information.

Barriers and Facilitators of Adherence to Nicotine Replacement Therapy: A Systematic Review and Analysis Using the Capability, Opportunity, Motivation, and Behaviour (COM-B) Model

BACKGROUND

Poor adherence to nicotine replacement therapy (NRT) is associated with low rates of smoking cessation. Hence, this study aims to identify and map patient-related factors associated with adherence to NRT using the capability, opportunity, motivation, and behaviour (COM-B) model.

METHODS

A systematic review was conducted by searching five databases (MEDLINE, Scopus, EMBASE, CINAHL, and PsycINFO) and grey literature on 30 August 2020. Data were extracted, thematically analysed, and mapped to the COM-B model. The Joanna Briggs Institute (JBI) critical appraisal tool was utilised to assess the quality of studies.

RESULTS

A total of 2929 citations were screened, and 26 articles with a total of 13,429 participants included. Thirty-one factors were identified and mapped to COM-B model: psychological capability (forgetfulness, education), physical capability (level of nicotine dependence, withdrawal symptoms), reflective motivation (perception about NRT and quitting), automatic motivation (alcohol use, stress, depression), physical opportunity (cost), and social opportunity (social support). The most prominent element associated with adherence was reflective motivation followed by physical capability and automatic motivation.

CONCLUSIONS

Multiple personal, social, and environmental factors affect NRT adherence. Hence, it is recommended to implement a multifaceted behavioural intervention incorporating factors categorised under the COM-B model, which is the hub of the behaviour change wheel (BCW) to improve adherence and quitting.

Embedding the Pillars of Quality in Health Information Technology Solutions Using "Integrated Patient Journey Mapping" (IPJM): Case Study

BACKGROUND

Health information technology (HIT) and associated data analytics offer significant opportunities for tackling some of the more complex challenges currently facing the health care sector. However, to deliver robust health care service improvements, it is essential that HIT solutions be designed by parallelly considering the 3 core pillars of health care quality: clinical effectiveness, patient safety, and patient experience. This requires multidisciplinary teams to design interventions that both adhere to medical protocols and achieve the tripartite goals of effectiveness, safety, and experience.

OBJECTIVE

In this paper, we present a design tool called Integrated Patient Journey Mapping (IPJM) that was developed to assist multidisciplinary teams in designing effective HIT solutions to address the 3 core pillars of health care quality. IPJM is intended to support the analysis of requirements as well as to promote empathy and the emergence of shared commitment and understanding among multidisciplinary teams.

METHODS

A 6-month, in-depth case study was conducted to derive findings on the use of IPJM during Learning to Evaluate Blood Pressure at Home (LEANBH), a connected health project that developed an HIT solution for the perinatal health context. Data were collected from over 700 hours of participant observations and 10 semistructured interviews.

RESULTS

The findings indicate that IPJM offered a constructive tool for multidisciplinary teams to work together in designing an HIT solution, through mapping the physical and emotional journey of patients for both the current service and the proposed connected health service. This allowed team members to consider the goals, tasks, constraints, and actors involved in the delivery of this journey and to capture requirements for the digital touchpoints of the connected health service.

CONCLUSIONS

Overall, IPJM facilitates the design and implementation of complex HITs that require multidisciplinary participation.

Connected Mental Health: Systematic Mapping Study

BACKGROUND

Although mental health issues constitute an increasing global burden affecting a large number of people, the mental health care industry is still facing several care delivery barriers such as stigma, education, and cost. Connected mental health (CMH), which refers to the use of information and communication technologies in mental health care, can assist in overcoming these barriers.

OBJECTIVE

The aim of this systematic mapping study is to provide an overview and a structured understanding of CMH literature available in the Scopus database.

METHODS

A total of 289 selected publications were analyzed based on 8 classification criteria: publication year, publication source, research type, contribution type, empirical type, mental health issues, targeted cohort groups, and countries where the empirically evaluated studies were conducted.

RESULTS

The results showed that there was an increasing interest in CMH publications; journals were the main publication channels of the selected papers; exploratory research was the dominant research type; advantages and challenges of the use of technology for mental health care were the most investigated subjects; most of the selected studies had not been evaluated empirically; depression and anxiety were the most addressed mental disorders; young people were the most targeted cohort groups in the selected publications; and Australia, followed by the United States, was the country where most empirically evaluated studies were conducted.

CONCLUSIONS

CMH is a promising research field to present novel approaches to assist in the management, treatment, and diagnosis of mental health issues that can help overcome existing mental health care delivery barriers. Future research should be shifted toward providing evidence-based studies to examine the effectiveness of CMH solutions and identify related issues.

"Nomen Omen": Exploring Connected Healthcare through the Perspective of Name Omen

Background: The evolution of names, from "medical informatics" to "connected health", implies that the evolvement of technology in health care has been shifted from technology-oriented to healthcare-oriented implementation. Connected healthcare, a healthcare platform of remote monitoring and self-management through technological measures, is suggested to contribute to the efficiency, cost-effectiveness, and satisfaction of healthcare recipient enhancement. However, limited understanding of related connected health (CH) terminology may constrain its implementation. Whether CH is a buzzword only or a practice that can contribute to an aging society is controversial. Objective: This study aims to distinguish CH-related terminology and to identify the trend of CH through reviewing its definition, initiation, development, and evolvement, in order to offer management insights and implications. The objective is to understand what is connected and who is cared about in the connected health model so that better applications can be addressed for the benefit of society. Method: This study reviews the evolution of names, from "medical informatics" in the 1970s to "connected health" after 2000, as well as relevant literature of CH, including e-health, telemedicine, telehealth, telecare, and m-health, to discover the trend of technology-related healthcare innovations. Results: The current status and issues facing accessibility, quality, and cost were presented. Its future trends will be explored through reviewing how changes in healthcare are managed, in addition to its operation and practice. Pre-conditions and requirements for implementing CH are identified to select a typical case to study. Findings suggest that areas with a complete business ecosystem-isolated locations, advanced information technology, aging in population, integrated health, and social care system-are prevalent for designing friendly CH environments. Conclusion: The evidence and tendency of technological convergence create a demand for innovation and partnering with start-up companies that offer a competitive advantage in innovation.