Robots in Healthcare: a Scoping Review
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SUBMITTER: Morgan A
PROVIDER: S-EPMC9589563 | biostudies-literature | 2022 Oct
REPOSITORIES: biostudies-literature
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Project description:ObjectiveTo review research on social robots to help children in healthcare contexts in order to describe the current state of the literature and explore future directions for research and practice.DesignScoping review.Data sourcesEngineering Village, IEEE Xplore, Medline, PsycINFO and Scopus databases were searched up until 10 July 2017. Only publications written in English were considered. Identified publications were initially screened by title and abstract, and the full texts of remaining publications were then subsequently screened.Eligibility criteriaPublications were included if they were journal articles, conference proceedings or conference proceedings published as monographs that described the conceptualisation, development, testing or evaluation of social robots for use with children with any mental or physical health condition or disability. Publications on autism exclusively, robots for use with children without identified health conditions, physically assistive or mechanical robots, non-physical hardware robots and surgical robots were excluded.ResultsSeventy-three publications were included in the review, of which 50 included user studies with a range of samples. Most were feasibility studies with small sample sizes, suggesting that the robots were generally accepted. At least 26 different robots were used, with many of these still in development. The most commonly used robot was NAO. The evidence quality was low, with only one randomised controlled trial and a limited number of experimental designs.ConclusionsSocial robots hold significant promise and potential to help children in healthcare contexts, but higher quality research is required with experimental designs and larger sample sizes.
| S-EPMC6361370 | biostudies-literature
Project description:BackgroundVarious technological interventions have been proposed and studied to address the growing demand for care of residents in assisted living facilities, in which a preexisting shortage of professional caregivers has been exacerbated by the COVID-19 pandemic. Care robots are one such intervention with the potential to improve both the care of older adults and the work life of their professional caregivers. However, concerns about efficacy, ethics, and best practices in the applications of robotic technologies in care settings remain.ObjectiveThis scoping review aimed to examine the literature on robots used in assisted living facilities and identify gaps in the literature to guide future research.MethodsOn February 12, 2022, following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) protocol, we searched PubMed, CINAHL Plus with Full Text, PsycINFO, IEEE Xplore digital library, and ACM Digital Library using predetermined search terms. Publications were included if they were written in English and focused on the use of robotics in assisted living facilities. Publications were excluded if they did not provide peer-reviewed empirical data, focused on user needs, or developed an instrument to study human-robot interaction. The study findings were then summarized, coded, and analyzed using the Patterns, Advances, Gaps, Evidence for practice, and Research recommendations framework.ResultsThe final sample included 73 publications from 69 unique studies on the use of robots in assisted living facilities. The findings of studies on older adults were mixed, with some studies suggesting positive impacts of robots, some expressing concerns about robots and barriers to their use, and others being inconclusive. Although many therapeutic benefits of care robots have been identified, methodological limitations have weakened the internal and external validity of the findings of these studies. Few studies (18/69, 26%) considered the context of care: most studies (48/69, 70%) collected data only on recipients of care, 15 studies collected data on staff, and 3 studies collected data on relatives or visitors. Theory-driven, longitudinal, and large sample size study designs were rare. Across the authors' disciplines, a lack of consistency in methodological quality and reporting makes it difficult to synthesize and assess research on care robotics.ConclusionsThe findings of this study call for more systematic research on the feasibility and efficacy of robots in assisted living facilities. In particular, there is a dearth of research on how robots may change geriatric care and the work environment within assisted living facilities. To maximize the benefits and minimize the consequences for older adults and caregivers, future research will require interdisciplinary collaboration among health sciences, computer science, and engineering as well as agreement on methodological standards.
| S-EPMC10028516 | biostudies-literature
Project description:BackgroundAlthough sex toys representing human body parts are widely accepted and normalized, human-like full-body sex dolls and sex robots have elicited highly controversial debates.ObjectiveThis systematic scoping review of the academic literature on sex dolls and sex robots, the first of its kind, aimed to examine the extent and type of existing academic knowledge and to identify research gaps against this backdrop.MethodsA comprehensive multidisciplinary, multidatabase search strategy was used. All steps of literature search and selection, data charting, and synthesis followed the leading methodological guideline, the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist. A total of 29 (17 peer reviewed) and 98 publications (32 peer reviewed) for sex dolls and sex robots, respectively, from 1993 to 2019 were included.ResultsAccording to the topics and methodologies, the sex doll and sex robot publications were divided into 5 and 6 groups, respectively. The majority of publications were theoretical papers. Thus far, no observational or experimental research exists that uses actual sex dolls or sex robots as stimulus material.ConclusionsThere is a need to improve the theoretical elaboration and the scope and depth of empirical research examining the sexual uses of human-like full-body material artifacts, particularly concerning not only risks but also opportunities for sexual and social well-being.
| S-EPMC7426804 | biostudies-literature
Project description:BackgroundThe metaverse is an emerging concept in surgery, with much interest in its highly immersive and interactive virtual environment. Despite the growing interest and importance in healthcare, the metaverse is still very much in its early phase of evolution and adoption in surgery, with debate on its definition and components. This scoping review provides a summary of the evidence and current understanding for the use of the metaverse in surgery.MethodsEmbase and MEDLINE were searched using scoping review methodology with a systematic search strategy, identifying any study examining the role of the metaverse in surgery without time limitation. After data extraction, a narrative synthesis was conducted to identify the components of the metaverse employed within surgery and the domains in which they were applied.ResultsOf 97 articles found through the initial search, 15 studies were eligible for inclusion. Most of the studies were expert opinion pieces (46.6%), urology was the most common specialty (33.3%), and all studies were published after 2020. Studies were widely heterogeneous in study design and outcomes varied. The surgical metaverse was used across four main domains: education (53%), training (80%), operations (67%), and surgical care (53%).ConclusionSurgery is rapidly moving towards the age of the metaverse. There is great potential; however, evidence is lacking on its effectiveness and there are risks associated with its implementation. Institutions must learn how to understand and safely adopt the metaverse into their domains of education, training, operations, and surgical care.
| S-EPMC11886832 | biostudies-literature
Project description:BackgroundRacism constitutes a barrier towards achieving equitable healthcare as documented in research showing unequal processes of delivering, accessing, and receiving healthcare across countries and healthcare indicators. This review summarizes studies examining how racism is discussed and produced in the process of delivering, accessing and receiving healthcare across various national contexts.MethodThe PRISMA guidelines for scoping reviews were followed and databases were searched for peer reviewed empirical articles in English across national contexts. No starting date limitation was applied for this review. The end date was December 1, 2020. The review scoped 213 articles. The results were summarized, coded and thematically categorized in regards to the aim.ResultsThe review yielded the following categories: healthcare users' experiences of racism in healthcare; healthcare staff's experiences of racism; healthcare staff's racial attitudes and beliefs; effects of racism in healthcare on various treatment choices; healthcare staff's reflections on racism in healthcare and; antiracist training in healthcare. Racialized minorities experience inadequate healthcare and being dismissed in healthcare interactions. Experiences of racism are associated with lack of trust and delay in seeking healthcare. Racialized minority healthcare staff experience racism in their workplace from healthcare users and colleagues and lack of organizational support in managing racism. Research on healthcare staff's racial attitudes and beliefs demonstrate a range of negative stereotypes regarding racialized minority healthcare users who are viewed as difficult. Research on implicit racial bias illustrates that healthcare staff exhibit racial bias in favor of majority group. Healthcare staff's racial bias may influence medical decisions negatively. Studies examining healthcare staff's reflections on racism and antiracist training show that healthcare staff tend to construct healthcare as impartial and that healthcare staff do not readily discuss racism in their workplace.ConclusionsThe USA dominates the research. It is imperative that research covers other geo-political contexts. Research on racism in healthcare is mainly descriptive, atheoretical, uses racial categories uncritically and tends to ignore racialization processes making it difficult to conceptualize racism. Sociological research on racism could inform research on racism as it theoretically explains racism's structural embeddedness, which could aid in tackling racism to provide good quality care.
| S-EPMC9112453 | biostudies-literature
Project description:BackgroundNowadays, health systems are generally acknowledged to be complex social systems. Consequently, scholars, academics, practitioners, and policy-makers are exploring how to adopt a complexity perspective in health policy and system research. While leadership and complexity has been studied extensively outside health, the implications of complexity theories for the study of leadership in healthcare have received limited attention. We carried out a scoping review of complex leadership (CL) in healthcare to investigate how CL in healthcare has been defined, theorised and conceptualised and to explore how 'CL' has been applied in healthcare settings.MethodsWe followed the methodological steps proposed by (Arksey and O'Malley, 2005): (1) specifying the research question, (2) identifying relevant studies, (3) study selection, (4) charting the data, (5) collating and summarizing the findings, and (6) reporting the results. We searched using Medline, Psychinfo, Wiley online library, and Google Scholar. Our inclusion criteria were: publication type (peer reviewed articles, theses, and book chapters); phenomenon of interest: complex leadership; context: healthcare and period of publication: between 2000 and 2016.ResultsOur search and selection resulted in 37 papers (16 conceptual papers, 14 empirical studies and 7 advocacy papers). We note that empirical studies on CL are few and almost all research reported by these papers was carried out in the North (mainly in USA and UK). We found that there is some variation in definitions of CL. Furthermore, the research papers adopt mostly an explorative or explanatory approach and do not focus on assessing effectiveness of CL approaches. Finally, we found that the majority of researchers seem to adhere to the mathematical complexity perspective.ConclusionComplexity concepts derived from natural sciences may not automatically fit management of health services. Further research into how social complexity theories may offer researchers useful grounds to empirically test CL theories in health settings is warranted. Specific attention should be paid to the multi-layered nature of leadership.
| S-EPMC6358662 | biostudies-literature
Project description:Healthcare systems are transforming from the traditional volume-based model of healthcare to a value-based model of healthcare. Value generation in healthcare is about emphasising the health outcomes achieved by patients and organisations while maintaining an optimal relationship with costs. This scoping review aimed to identify the key elements and outcomes of implementing value-based healthcare (VBHC). The review process included studies published from 2013 to 2023 in four different databases (SpringerLink, PubMed, ProQuest and Scopus). Of the 2801 articles retrieved from the searches, 12 met the study's inclusion criteria. A total of 11 studies referred to value as the relationship between the outcomes achieved by patients and the costs of achieving those outcomes. Most of the studies highlighted the presence of leadership, the organisation of care into integrated care units, the identification and standardisation of outcome measures that generate value for the patient, and the inclusion of the patient perspective as the most prominent key elements for optimal VBHC implementation. Furthermore, some benefits were identified from VBHC implementation, which could shed light for future implementation actions. Therefore, the VBHC model is a promising approach that may contribute to an improvement in the efficiency and sustainability of healthcare.
| S-EPMC10888410 | biostudies-literature
Project description:BackgroundNeuromotor rehabilitation and improvement of upper limb functions are necessary to improve the life quality of patients who have experienced injuries or have pathological outcomes. Modern approaches, such as robotic-assisted rehabilitation can help to improve rehabilitation processes and thus improve upper limb functions. Therefore, the aim of this study was to investigate the role of robots in upper limb disability improvement and rehabilitation.MethodsThis scoping review was conducted by search in PubMed, Web of Science, Scopus, and IEEE (January 2012- February 2022). Articles related to upper limb rehabilitation robots were selected. The methodological quality of all the included studies will be appraised using the Mixed Methods Appraisal Tool (MMAT). We used an 18-field data extraction form to extract data from articles and extracted the information such as study year, country, type of study, purpose, illness or accident leading to disability, level of disability, assistive technologies, number of participants in the study, sex, age, rehabilitated part of the upper limb using a robot, duration and frequency of treatment, methods of performing rehabilitation exercises, type of evaluation, number of participants in the evaluation process, duration of intervention, study outcomes, and study conclusions. The selection of articles and data extraction was made by three authors based on inclusion and exclusion criteria. Disagreements were resolved through consultation with the fifth author. Inclusion criteria were articles involving upper limb rehabilitation robots, articles about upper limb disability caused by any illness or injury, and articles published in English. Also, articles involving other than upper limb rehabilitation robots, robots related to rehabilitation of diseases other than upper limb, systematic reviews, reviews, and meta-analyses, books, book chapters, letters to the editor, and conference papers were also excluded. Descriptive statistics methods (frequency and percentage) were used to analyses the data.ResultsWe finally included 55 relevant articles. Most of the studies were done in Italy (33.82%). Most robots were used to rehabilitate stroke patients (80%). About 60.52% of the studies used games and virtual reality rehabilitate the upper limb disabilities using robots. Among the 14 types of applied evaluation methods, "evaluation and measurement of upper limb function and dexterity" was the most applied evaluation method. "Improvement in musculoskeletal functions", "no adverse effect on patients", and "Safe and reliable treatment" were the most cited outcomes, respectively.ConclusionsOur findings show that robots can improve musculoskeletal functions (musculoskeletal strength, sensation, perception, vibration, muscle coordination, less spasticity, flexibility, and range of motion) and empower people by providing a variety of rehabilitation capabilities.
| S-EPMC10169358 | biostudies-literature
Project description:The detrimental impacts of COVID-19 on healthcare providers' psychological health and well-being continue to affect their professional roles and activities, leading to compassion fatigue. The purpose of this review was to identify and summarize published literature on compassion fatigue among healthcare providers and its impact on patient care. Six databases were searched: MEDLINE (Ovid), PsycINFO (Ovid), Embase (Ovid), CINAHL, Scopus, Web of Science, for studies on compassion fatigue in healthcare providers, published in English from the peak of the pandemic in 2020 to 2023. To expand the search, reference lists of included studies were hand searched to locate additional relevant studies. The studies primarily focused on nurses, physicians, and other allied health professionals. This scoping review was registered on Open Science Framework (OSF), using the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) extension to scoping review. From 11,715 search results, 24 met the inclusion criteria. Findings are presented using four themes: prevalence of compassion fatigue; antecedents of compassion fatigue; consequences of compassion fatigue; and interventions to address compassion fatigue. The potential antecedents of compassion fatigue are grouped under individual-, organization-, and systems-level factors. Our findings suggest that healthcare providers differ in risk for developing compassion fatigue in a country-dependent manner. Interventions such as increasing available personnel helped to minimize the occurrence of compassion fatigue. This scoping review offers important insight on the common causes and potential risks for compassion fatigue among healthcare providers and identifies potential strategies to support healthcare providers' psychological health and well-being.
| S-EPMC10693134 | biostudies-literature
Project description:ObjectivesStatistical and artificial intelligence algorithms are increasingly being developed for use in healthcare. These algorithms may reflect biases that magnify disparities in clinical care, and there is a growing need for understanding how algorithmic biases can be mitigated in pursuit of algorithmic fairness. We conducted a scoping review on algorithmic individual fairness (IF) to understand the current state of research in the metrics and methods developed to achieve IF and their applications in healthcare.Materials and methodsWe searched four databases: PubMed, ACM Digital Library, IEEE Xplore, and medRxiv for algorithmic IF metrics, algorithmic bias mitigation, and healthcare applications. Our search was restricted to articles published between January 2013 and November 2024. We identified 2498 articles through database searches and seven additional articles, of which 32 articles were included in the review. Data from the selected articles were extracted, and the findings were synthesized.ResultsBased on the 32 articles in the review, we identified several themes, including philosophical underpinnings of fairness, IF metrics, mitigation methods for achieving IF, implications of achieving IF on group fairness and vice versa, and applications of IF in healthcare.DiscussionWe find that research of IF is still in their early stages, particularly in healthcare, as evidenced by the limited number of relevant articles published between 2013 and 2024. While healthcare applications of IF remain sparse, growth has been steady in number of publications since 2012. The limitations of group fairness further emphasize the need for alternative approaches like IF. However, IF itself is not without challenges, including subjective definitions of similarity and potential bias encoding from data-driven methods. These findings, coupled with the limitations of the review process, underscore the need for more comprehensive research on the evolution of IF metrics and definitions to advance this promising field.ConclusionWhile significant work has been done on algorithmic IF in recent years, the definition, use, and study of IF remain in their infancy, especially in healthcare. Future research is needed to comprehensively apply and evaluate IF in healthcare.
| S-EPMC11684587 | biostudies-literature