scholarly journals Sentiment Analysis in Health and Well-Being: Systematic Review (Preprint)

2019 ◽  
Author(s):  
Anastazia Zunic ◽  
Padraig Corcoran ◽  
Irena Spasic
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Sentiment Analysis ◽  
State Of The Art ◽  
Well Being ◽  
The State ◽  
Support Vector ◽  
Domain Specific ◽  
Wide Range ◽  
Health And Well Being

BACKGROUND Sentiment analysis (SA) is a subfield of natural language processing whose aim is to automatically classify the sentiment expressed in a free text. It has found practical applications across a wide range of societal contexts including marketing, economy, and politics. This review focuses specifically on applications related to health, which is defined as “a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity.” OBJECTIVE This study aimed to establish the state of the art in SA related to health and well-being by conducting a systematic review of the recent literature. To capture the perspective of those individuals whose health and well-being are affected, we focused specifically on spontaneously generated content and not necessarily that of health care professionals. METHODS Our methodology is based on the guidelines for performing systematic reviews. In January 2019, we used PubMed, a multifaceted interface, to perform a literature search against MEDLINE. We identified a total of 86 relevant studies and extracted data about the datasets analyzed, discourse topics, data creators, downstream applications, algorithms used, and their evaluation. RESULTS The majority of data were collected from social networking and Web-based retailing platforms. The primary purpose of online conversations is to exchange information and provide social support online. These communities tend to form around health conditions with high severity and chronicity rates. Different treatments and services discussed include medications, vaccination, surgery, orthodontic services, individual physicians, and health care services in general. We identified 5 roles with respect to health and well-being among the authors of the types of spontaneously generated narratives considered in this review: a sufferer, an addict, a patient, a carer, and a suicide victim. Out of 86 studies considered, only 4 reported the demographic characteristics. A wide range of methods were used to perform SA. Most common choices included support vector machines, naïve Bayesian learning, decision trees, logistic regression, and adaptive boosting. In contrast with general trends in SA research, only 1 study used deep learning. The performance lags behind the state of the art achieved in other domains when measured by F-score, which was found to be below 60% on average. In the context of SA, the domain of health and well-being was found to be resource poor: few domain-specific corpora and lexica are shared publicly for research purposes. CONCLUSIONS SA results in the area of health and well-being lag behind those in other domains. It is yet unclear if this is because of the intrinsic differences between the domains and their respective sublanguages, the size of training datasets, the lack of domain-specific sentiment lexica, or the choice of algorithms.

scholarly journals Sentiment Analysis in Health and Well-Being: Systematic Review

10.2196/16023 ◽  
2020 ◽  
Vol 8 (1) ◽  
pp. e16023 ◽  
Author(s):  
Anastazia Zunic ◽  
Padraig Corcoran ◽  
Irena Spasic
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Sentiment Analysis ◽  
State Of The Art ◽  
Well Being ◽  
The State ◽  
Support Vector ◽  
Domain Specific ◽  
Wide Range ◽  
Health And Well Being

Background Sentiment analysis (SA) is a subfield of natural language processing whose aim is to automatically classify the sentiment expressed in a free text. It has found practical applications across a wide range of societal contexts including marketing, economy, and politics. This review focuses specifically on applications related to health, which is defined as “a state of complete physical, mental, and social well-being and not merely the absence of disease or infirmity.” Objective This study aimed to establish the state of the art in SA related to health and well-being by conducting a systematic review of the recent literature. To capture the perspective of those individuals whose health and well-being are affected, we focused specifically on spontaneously generated content and not necessarily that of health care professionals. Methods Our methodology is based on the guidelines for performing systematic reviews. In January 2019, we used PubMed, a multifaceted interface, to perform a literature search against MEDLINE. We identified a total of 86 relevant studies and extracted data about the datasets analyzed, discourse topics, data creators, downstream applications, algorithms used, and their evaluation. Results The majority of data were collected from social networking and Web-based retailing platforms. The primary purpose of online conversations is to exchange information and provide social support online. These communities tend to form around health conditions with high severity and chronicity rates. Different treatments and services discussed include medications, vaccination, surgery, orthodontic services, individual physicians, and health care services in general. We identified 5 roles with respect to health and well-being among the authors of the types of spontaneously generated narratives considered in this review: a sufferer, an addict, a patient, a carer, and a suicide victim. Out of 86 studies considered, only 4 reported the demographic characteristics. A wide range of methods were used to perform SA. Most common choices included support vector machines, naïve Bayesian learning, decision trees, logistic regression, and adaptive boosting. In contrast with general trends in SA research, only 1 study used deep learning. The performance lags behind the state of the art achieved in other domains when measured by F-score, which was found to be below 60% on average. In the context of SA, the domain of health and well-being was found to be resource poor: few domain-specific corpora and lexica are shared publicly for research purposes. Conclusions SA results in the area of health and well-being lag behind those in other domains. It is yet unclear if this is because of the intrinsic differences between the domains and their respective sublanguages, the size of training datasets, the lack of domain-specific sentiment lexica, or the choice of algorithms.

scholarly journals Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

2021 ◽  
Vol 4 ◽  
pp. 205920432199770
Author(s):  
Kat R. Agres ◽  
Rebecca S. Schaefer ◽  
Anja Volk ◽  
Susan van Hooren ◽  
Andre Holzapfel ◽  
...  
Keyword(s):  
Health Care ◽  
Large Scale ◽  
State Of The Art ◽  
Well Being ◽  
Music Technology ◽  
The State ◽  
Future Research ◽  
Challenges And Opportunities ◽  
Evidence Based Treatments ◽  
Music Information

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech), and robotics. Following the discussions at the workshop, this article provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the article summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that (1) supports person-centered care and evidence-based treatments, and (2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The article provides a resource for those seeking to engage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field.

scholarly journals Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review

10.2196/17572 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e17572 ◽  
Author(s):  
Dorothy Szinay ◽  
Andy Jones ◽  
Tim Chadborn ◽  
Jamie Brown ◽  
Felix Naughton
Keyword(s):  
Systematic Review ◽  
Low Cost ◽  
Theoretical Domains Framework ◽  
Well Being ◽  
Database Systems ◽  
Health Impact ◽  
Cochrane Library ◽  
Smartphone Apps ◽  
Wide Range ◽  
Health And Well Being

Background The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools. Objective This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults. Methods We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF). Results Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under capability, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical opportunity factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social opportunity factors. Finally, the motivation factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E). Conclusions Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps.

scholarly journals Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being

2021 ◽  
Author(s):  
Kat Rose Agres ◽  
Rebecca Schaefer ◽  
Anja Volk ◽  
Susan van Hooren ◽  
André Holzapfel ◽  
...  
Keyword(s):  
Health Care ◽  
Large Scale ◽  
State Of The Art ◽  
Well Being ◽  
Music Technology ◽  
The State ◽  
Future Research ◽  
Challenges And Opportunities ◽  
Evidence Based Treatments ◽  
Music Information

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop ‘Music, Computing, and Health’ was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech) and robotics. Following the discussions at the workshop, this paper provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the paper summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that 1) supports person-centered care and evidence-based treatments, and 2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The paper provides a resource for those seeking toengage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field.

Interventions to improve employee health and well-being within health care organizations: A systematic review

2017 ◽  
Vol 37 (4) ◽  
pp. 25-51 ◽  
Author(s):  
Stephen P. Williams ◽  
Humza T. Malik ◽  
Christopher R. Nicolay ◽  
Sankalp Chaturvedi ◽  
Ara Darzi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Health Care Organizations ◽  
Well Being ◽  
Employee Health ◽  
Health And Well Being

scholarly journals Workplace bullying and incivility: a systematic review of interventions

2014 ◽  
Vol 7 (1) ◽  
pp. 54-72 ◽  
Author(s):  
Margaret Hodgins ◽  
Sarah MacCurtain ◽  
Patricia Mannix-McNamara
Keyword(s):  
Systematic Review ◽  
Workplace Bullying ◽  
Negative Impact ◽  
Well Being ◽  
Content Type ◽  
Wide Range ◽  
Workplace Mistreatment ◽  
Positive Effect ◽  
Health And Well Being ◽  
Future Practice

Purpose – Workplace mistreatment has a negative impact on the health and well-being of approximately 20 per cent of workers. Despite this, few interventions have been evaluated and published. The purpose of this paper is to address the question “what interventions designed to reduce workplace bullying or incivility are effective and what can be learnt from evaluated interventions for future practice?” Design/methodology/approach – A systematic review was undertaken in which 11 electronic databases were searched, yielding 5,364 records. Following screening on abstract and title, 31 papers were retained for detailed review and quality assessment. Subsequently, 12 interventions to address workplace bullying or incivility were critically appraised. Findings – The papers spanned a wide range of approaches to and assumptions about resolving the problem of bullying and/or incivility. Half the studies focused on changing individual behaviours or knowledge about bullying or incivility, and duration of intervention ranged from two hours to two years. Only four studies were controlled before-after studies. Only three studies were classed as “moderate” in terms of quality, two of which were effective and one of which was partially effective. Originality/value – A final synthesis of results of the review indicate that multi-component, organisational level interventions appear to have a positive effect on levels of incivility, and should be considered as a basis for developing interventions to address workplace bullying.

scholarly journals Influences on the Uptake of and Engagement With Health and Well-Being Smartphone Apps: Systematic Review (Preprint)

2019 ◽  
Author(s):  
Dorothy Szinay ◽  
Andy Jones ◽  
Tim Chadborn ◽  
Jamie Brown ◽  
Felix Naughton
Keyword(s):  
Systematic Review ◽  
Low Cost ◽  
Theoretical Domains Framework ◽  
Well Being ◽  
Database Systems ◽  
Health Impact ◽  
Cochrane Library ◽  
Smartphone Apps ◽  
Wide Range ◽  
Health And Well Being

BACKGROUND The public health impact of health and well-being digital interventions is dependent upon sufficient real-world uptake and engagement. Uptake is currently largely dependent on popularity indicators (eg, ranking and user ratings on app stores), which may not correspond with effectiveness, and rapid disengagement is common. Therefore, there is an urgent need to identify factors that influence uptake and engagement with health and well-being apps to inform new approaches that promote the effective use of such tools. OBJECTIVE This review aimed to understand what is known about influences on the uptake of and engagement with health and well-being smartphone apps among adults. METHODS We conducted a systematic review of quantitative, qualitative, and mixed methods studies. Studies conducted on adults were included if they focused on health and well-being smartphone apps reporting on uptake and engagement behavior. Studies identified through a systematic search in Medical Literature Analysis and Retrieval System Online, or MEDLARS Online (MEDLINE), EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), PsychINFO, Scopus, Cochrane library databases, DataBase systems and Logic Programming (DBLP), and Association for Computing Machinery (ACM) Digital library were screened, with a proportion screened independently by 2 authors. Data synthesis and interpretation were undertaken using a deductive iterative process. External validity checking was undertaken by an independent researcher. A narrative synthesis of the findings was structured around the components of the capability, opportunity, motivation, behavior change model and the theoretical domains framework (TDF). RESULTS Of the 7640 identified studies, 41 were included in the review. Factors related to uptake (U), engagement (E), or both (B) were identified. Under <i>capability</i>, the main factors identified were app literacy skills (B), app awareness (U), available user guidance (B), health information (E), statistical information on progress (E), well-designed reminders (E), features to reduce cognitive load (E), and self-monitoring features (E). Availability at low cost (U), positive tone, and personalization (E) were identified as physical <i>opportunity</i> factors, whereas recommendations for health and well-being apps (U), embedded health professional support (E), and social networking (E) possibilities were social <i>opportunity</i> factors. Finally, the <i>motivation</i> factors included positive feedback (E), available rewards (E), goal setting (E), and the perceived utility of the app (E). CONCLUSIONS Across a wide range of populations and behaviors, 26 factors relating to capability, opportunity, and motivation appear to influence the uptake of and engagement with health and well-being smartphone apps. Our recommendations may help app developers, health app portal developers, and policy makers in the optimization of health and well-being apps.

How Do Self-tracking and Quantified Self Promote Health and Well-being: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Shan Feng ◽  
Matti Mäntymäki ◽  
Amandeep Dhir ◽  
Hannu Salmela
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Longitudinal Research ◽  
State Of The Art ◽  
Well Being ◽  
The State ◽  
Future Research ◽  
Quantified Self ◽  
Research Activities ◽  
Health And Well Being

BACKGROUND Self-tracking technologies are widely used in people’s daily lives and healthcare. Academic research on self-tracking and quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and quantified self. OBJECTIVE Our objective was to identify the state of the art in self-tracking and quantified self in health and well-being. METHODS We have undertaken a systematic literature review on self-tracking and quantified self in promoting health and well-being. We reviewed altogether 81 empirical research papers. RESULTS Our results show that prior research has focused on three perspectives with respect to self-tracking and quantified self, namely individual user, healthcare professional, and market. We further describe the research themes under each of the three perspectives. Moreover, we classified the future research suggestions given in the literature into five directions: 1) employment of longitudinal research designs, 2) users’ modalities in the use of self-tracking technologies, 3) issues related to data sharing, 4) psychological and behavioral aspects of self-tracking, and 5) self-tracking in clinical use. We further described the specific research areas for each research direction. CONCLUSIONS This systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise view of the state of the art in self-tracking research.

Proteomics of Pancreatic Neuroendocrine Tumors: A Systematic Review

2020 ◽  
Vol 27 (12) ◽  
pp. 1276-1287
Author(s):  
Brigida Anna Maiorano ◽  
Giovanni Schinzari ◽  
Sabrina Chiloiro ◽  
Felicia Visconti ◽  
Domenico Milardi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Neuroendocrine Tumors ◽  
Prognostic Markers ◽  
State Of The Art ◽  
Therapeutic Targets ◽  
The State ◽  
Pancreatic Neuroendocrine Tumors ◽  
Rare Tumors ◽  
Personalized Approach ◽  
Future Management

Pancreatic neuroendocrine tumors (PanNETs) are rare tumors having usually an indolent behavior, but sometimes with unpredictable aggressiveness. PanNETs are more often non-functioning (NF), unable to produce functioning hormones, while 10-30% present as functioning (F) - PanNETs, such as insulinomas , gastrinomas , and other rare tumors. Diagnostic and prognostic markers, but also new therapeutic targets, are still lacking. Proteomics techniques represent therefore promising approaches for the future management of PanNETs. We conducted a systematic review to summarize the state of the art of proteomics in PanNETs. A total of 9 studies were included, focusing both on NF- and F-PanNETs. Indeed, proteomics is useful for the diagnosis, the prognosis and the detection of therapeutic targets. However, further studies are required. It is also warranted to standardize the analysis methods and the collection techniques, in order to validate proteins with a relevance in the personalized approach to PanNETs management.

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