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Open Access
Article
Publication date: 14 October 2021

Roberta Sebastiani and Alessia Anzivino

This paper aims to investigate the eHealth ecosystem’s evolution during the coronavirus disease 2019 (COVID-19) pandemic and its effects on the progression of care for…

Abstract

Purpose

This paper aims to investigate the eHealth ecosystem’s evolution during the coronavirus disease 2019 (COVID-19) pandemic and its effects on the progression of care for patients with chronic cardiovascular disease.

Design/methodology/approach

To attain the aim of the study, this study chose to adopt a qualitative method that matches the complexity of the issue. The study was conducted in a real context through 44 face-to-face semi-structured interviews of key informants at different levels of the Italian eHealth service ecosystem, via Microsoft Teams. The interviews were carried out from June 2020 to January 2021. In this research, we adopted an abductive approach that enabled a process where the theoretical framework and the data analysis evolved at the same time.

Findings

The study results were used to develop a conceptual framework that considers the key factors enabling and constraining the evolutionary process of the eHealth service ecosystem. In particular, the drivers that emerged from the study were actor role empowerment, actor–network engagement and resource reconfiguration while the inhibitors were inter- and intra-actor misalignment, resource myopia and the platformisation gap. The findings also revealed the pivotal role of the meso level in the development of the eHealth service ecosystem, boosted by the COVID-19 pandemic.

Originality/value

By adopting a service ecosystem perspective, this paper contributes, at both a theoretical and a managerial level, to a better understanding of the dynamics related to the diffusion of eHealth. The study identifies the main issues that researchers, managers and policymakers should address to support the evolution of the eHealth service ecosystem, with particular regard to chronic cardiovascular disease.

Details

Journal of Business & Industrial Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 10 February 2022

Jameel Ahamed, Roohie Naaz Mir and Mohammad Ahsan Chishti

The world is shifting towards the fourth industrial revolution (Industry 4.0), symbolising the move to digital, fully automated habitats and cyber-physical systems…

Abstract

Purpose

The world is shifting towards the fourth industrial revolution (Industry 4.0), symbolising the move to digital, fully automated habitats and cyber-physical systems. Industry 4.0 consists of innovative ideas and techniques in almost all sectors, including Smart health care, which recommends technologies and mechanisms for early prediction of life-threatening diseases. Cardiovascular disease (CVD), which includes stroke, is one of the world’s leading causes of sickness and deaths. As per the American Heart Association, CVDs are a leading cause of death globally, and it is believed that COVID-19 also influenced the health of cardiovascular and the number of patients increases as a result. Early detection of such diseases is one of the solutions for a lower mortality rate. In this work, early prediction models for CVDs are developed with the help of machine learning (ML), a form of artificial intelligence that allows computers to learn and improve on their own without requiring to be explicitly programmed.

Design/methodology/approach

The proposed CVD prediction models are implemented with the help of ML techniques, namely, decision tree, random forest, k-nearest neighbours, support vector machine, logistic regression, AdaBoost and gradient boosting. To mitigate the effect of over-fitting and under-fitting problems, hyperparameter optimisation techniques are used to develop efficient disease prediction models. Furthermore, the ensemble technique using soft voting is also used to gain more insight into the data set and accurate prediction models.

Findings

The models were developed to help the health-care providers with the early diagnosis and prediction of heart disease patients, reducing the risk of developing severe diseases. The created heart disease risk evaluation model is built on the Jupyter Notebook Web application, and its performance is calculated using unbiased indicators such as true positive rate, true negative rate, accuracy, precision, misclassification rate, area under the ROC curve and cross-validation approach. The results revealed that the ensemble heart disease model outperforms the other proposed and implemented models.

Originality/value

The proposed and developed CVD prediction models aims at predicting CVDs at an early stage, thereby taking prevention and precautionary measures at a very early stage of the disease to abate the predictive maintenance as recommended in Industry 4.0. Prediction models are developed on algorithms’ default values, hyperparameter optimisations and ensemble techniques.

Details

Industrial Robot: the international journal of robotics research and application, vol. 49 no. 3
Type: Research Article
ISSN: 0143-991X

Keywords

Article
Publication date: 14 March 2016

Martin Jones, David Thompson, Chantal Ski, Robyn Clark, Richard Gray, Kari Vallury and Ferdous Alam

The purpose of this paper is to discuss the role of psychosocial treatments to support families living with cardiovascular disease (CVD) and depression. The paper…

Abstract

Purpose

The purpose of this paper is to discuss the role of psychosocial treatments to support families living with cardiovascular disease (CVD) and depression. The paper highlights that depression in people with CVD is a predictor of non-adherence to both medicines and cardiovascular rehabilitation programmes. The authors believe there is a clinical need to develop a programme of care to support the whole family to adhere to cardiovascular rehabilitation programmes.

Design/methodology/approach

A team of expert cardiovascular nurses, mental health nurses (MHN) and cardiologist clinical opinions and experiences. These opinions and experiences were supplemented by literature using MEDLINE as the primary database for papers published between December 2000 and December 2013.

Findings

People with CVD who become depressed are more likely to stop taking their medicine and stop working with their health care worker. Most people with heart and mood problems live with their families. Health workers could have a role in supporting families living with heart and mood problems to their care and treatment. The paper has highlighted the importance of working with families living with heart and mood problems to help them to stick with care and treatment.

Originality/value

Most people with heart and mood problems live with their families. The paper has highlighted the importance of working with families living with heart and mood problems to help them to persevere with care and treatment. MHN may have a role, though consideration should also be given to exploring the role of other health care workers and members of the community. As the population ages, clinicians and communities will need to consider the impact of depression on adherence when working with families living with CVD and depression.

Details

The Journal of Mental Health Training, Education and Practice, vol. 11 no. 1
Type: Research Article
ISSN: 1755-6228

Keywords

Book part
Publication date: 31 August 2001

Irina Farquhar, Alan Sorkin, Kent Summers and Earl Weir

We study changes in age-specific diabetes-related mortality and annual health care utilization. We find that half of the estimated 16% increase of diabetic mortality falls…

Abstract

We study changes in age-specific diabetes-related mortality and annual health care utilization. We find that half of the estimated 16% increase of diabetic mortality falls within employable age groups. We estimate that disease combination-specific increase in case fatality has resulted in premature diabetic mortality costing $3.2 billion annually. The estimated annual direct cost of treating high-risk diabetics reaches $36 billion, of which Medicare and Other Federal Programs compensate 54%. Respiratory conditions among diabetics comprise the same proportion of high-risk diabetics as do the disease combinations including coronary heart diseases. Treating of general diabetic conditions has become more efficient as indicated by the estimated declines in per unit health care costs.

Details

Investing in Health: The Social and Economic Benefits of Health Care Innovation
Type: Book
ISBN: 978-1-84950-070-8

Article
Publication date: 21 October 2021

Andrea R.M. Mohan, Patricia Thomson, Sally Haw, Stephen J. Leslie and Janet McKay

Prisoners have an increased risk of cardiovascular disease (CVD) compared to the general population. Knowledge and risk perception of CVD can influence engagement in…

Abstract

Purpose

Prisoners have an increased risk of cardiovascular disease (CVD) compared to the general population. Knowledge and risk perception of CVD can influence engagement in preventative behaviours that lower an individual’s CVD risk. This paper aims to explore prisoners’ knowledge of CVD, and prisoners and staff’s perceptions of prisoners’ CVD risk.

Design/methodology/approach

This was a qualitative study in which semi-structured interviews were conducted with 16 prisoners and 11 prison and National Health Services staff in a Scottish prison. Data were analysed thematically using the framework method.

Findings

Most prisoners had limited knowledge of CVD as they could not describe it or could only identify one or two risk factors or cardiovascular events. Both prisoners and staff viewed prisoners’ CVD risk as either pertaining to one individual, or pertaining to the general prisoner population. Unhealthy behaviours that were believed to increase CVD risk were linked to three perceived consequences of imprisonment: mental health problems, boredom and powerlessness.

Originality/value

To the best of the authors’ knowledge, this is the first study to explore the CVD knowledge of prisoners, and perceptions of CVD risk from the perspectives of prisoners and prison staff. Findings from this study indicate that CVD education needs to be a priority for prisoners, addressing knowledge of CVD, its risk and risk perceptions. Additionally, the findings indicate that individual and socio-environmental factors linked to prisoners’ CVD risk need to be targeted to reduce this risk. Future research should focus on socio-environmental interventions that can lead to reducing the CVD risk of prisoners.

Details

International Journal of Prisoner Health, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1744-9200

Keywords

Content available
1043

Abstract

Details

International Journal of Health Care Quality Assurance, vol. 24 no. 5
Type: Research Article
ISSN: 0952-6862

Keywords

Book part
Publication date: 22 March 2021

Elena Bassoli, Agar Brugiavini and Giacomo Pasini

We exploit the international comparability and the longitudinal dimension of the Survey of Health, Ageing and Retirement in Europe to look at regional and cohort…

Abstract

We exploit the international comparability and the longitudinal dimension of the Survey of Health, Ageing and Retirement in Europe to look at regional and cohort differences in disease prevalence across European regions. We find a significantly higher probability of reporting cardiovascular diseases among older Eastern European women than among other Europeans. Moreover, we observe a worsening in health conditions for younger cohorts.

Details

The Sustainability of Health Care Systems in Europe
Type: Book
ISBN: 978-1-83909-499-6

Keywords

Article
Publication date: 11 October 2019

Stéphanie Baggio, Simon Guillaume-Gentil, Patrick Heller, Komal Chacowry Pala, Hans Wolff and Laurent Gétaz

Body-packing means concealing packets of illicit psychoactive substances in the digestive or genital system. The purpose of this paper is to investigate profiles of…

Abstract

Purpose

Body-packing means concealing packets of illicit psychoactive substances in the digestive or genital system. The purpose of this paper is to investigate profiles of body-packers and comorbidities associated with body-packing.

Design/methodology/approach

A retrospective study (2005–2016) was conducted among all patients hospitalized for suspicion of body-packing in the Geneva hospital prison unit (n=287). Data were extracted from medical records and included demographics, somatic/psychiatric diseases, suicidal ideation and psychological distress.

Findings

Body-packers were mostly young men (mean age=33.4). A total of 42.2 percent of the participants had at least one psychiatric or somatic comorbidity reported during incarceration (somatic: 28.2 percent, psychiatric: 18.8 percent). The most frequent somatic diseases were infectious (10.5 percent), cardiovascular (10.1 percent), and endocrinological (4.2 percent) diseases, and more precisely HIV (4.5 percent), hepatitis B (3.5 percent), hepatitis C (1.4 percent), high blood pressure (8.0 percent) and diabetes (4.2 percent). The most frequent psychiatric conditions were substance use disorders (10.5 percent) and mood disorders (8.0 percent). Depressed mood/psychological distress and suicidal ideation were frequently reported during hospitalization (27.2/6.6 percent). Comorbidities were associated with demographics: Females were more likely to have somatic and psychiatric diseases detected during hospitalization in detention and participants from Western, educated, industrialized, rich and democratic countries were more likely to report diseases known before detention.

Originality/value

Body-packers bear a heavy burden of disease and psychological distress. This vulnerable subgroup of incarcerated people has been overlooked in previous research and their health needs are not correctly understood. This study was a first step to improve their health care and reintegration.

Details

International Journal of Prisoner Health, vol. 16 no. 1
Type: Research Article
ISSN: 1744-9200

Keywords

Article
Publication date: 30 June 2020

Sharan Srinivas, Kavin Anand and Anand Chockalingam

While cardiovascular disease (CVD) is the leading cause of death globally, over 80% of the cases could be prevented through early lifestyle changes. From the perspective…

Abstract

Purpose

While cardiovascular disease (CVD) is the leading cause of death globally, over 80% of the cases could be prevented through early lifestyle changes. From the perspective of quality management in healthcare, this may offer an effective prevention window if modifiable CVD risk factors are identified and treated in adolescence. The purpose of this research is to examine the negative emotions in adolescents and determine if it independently increases CVD risk later in life.

Design/methodology/approach

Longitudinal data from 12,350 participants of the Add Health study, which conducted a multi-wave survey for 14 years from adolescence (Wave 1) through adulthood (Wave 4), were used to test the research hypothesis. Four items (perception of life, self-reported depression, perceived loneliness and fearfulness) reflective of adolescent negative emotion were identified from the Wave 1 questionnaire, and factor analysis was conducted to confirm the hypothesized structure. The outcome variable, 30-year adulthood CVD risk category (high or low risk), was estimated using biomarkers, biological data and other factors collected during the 14-year follow-up in Wave 4. A logistic regression analysis was employed to assess the impact of adolescent negative emotions on adulthood CVD risk after adjusting for common risk factors such as sociodemographic characteristics, socioeconomic status and medical conditions in adolescence.

Findings

The results indicated adolescent negative emotion to be significantly associated with CVD risk category (p-value < 0.0001), even after controlling for common risk factors. A unit increase in the level of adolescent negative emotion increased the chance of being in the high CVD risk group in adulthood by 8% (odds ratio = 1.08 ± 0.03).

Practical implications

Healthcare providers and organizations could capitalize on the research findings by screening for negative emotions early in life through individual and societal interventions. The findings also provide an opportunity for implementing quality improvement initiatives to deliver robust preventive care, which, in turn, could improve the overall population health, reduce healthcare costs and improve care quality.

Originality/value

Although previous studies showed a strong link between adolescent physiological factors (e.g. obesity) and adulthood cardiovascular disease (CVD), the association between adolescent outlook/attitude (negative emotion) and CVD risk has not been examined.

Details

Benchmarking: An International Journal, vol. 27 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

Content available
287

Abstract

Details

Leadership in Health Services, vol. 23 no. 1
Type: Research Article
ISSN: 1751-1879

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