Search Results (20)

Background/Objectives: Collaboration in mental health care is essential for implementing a model oriented towards the psychosocial rehabilitation of people based on multifaceted interventions involving different actors and sectors of society to respond to demands. Despite the benefits presented by the scientific evidence, there are still many barriers to collaborative care, and professionals continue to struggle in reorienting their conduct. The current situation demands organization and the framing of well-founded action plans to overcome challenges, which in turn requires a detailed understanding of collaborative practices in mental health care and their conceptual boundaries. A concept analysis was undertaken to propose a working definition of collaborative practices in mental health care (CPMHC). Methods: This paper used the Walker and Avant concept analysis method. This includes identifying the defining concept attributes, antecedents, consequences, and empirical referents. A literature search was carried out from November 2024 to February 2025 in three databases (Medline, CINAHL, and LILACS), considering studies published between 2010 and 2024. Results: The final sample of literature investigated consisted of 30 studies. The key attributes were effective communication, building bonds, co-responsibility for care, hierarchical flexibility, articulation between services, providers and community, monitoring and evaluating of care processes, and attention to the plurality of sociocultural contexts. Conclusions: This comprehensive analysis contributes to guiding future research and policy development of collaborative practices in mental health, considering the individual, relational, institutional, and social levels. Further research is possible to deepen the understanding of the production of collaborative practices in mental health in the face of the complexity of social relations and structural inequities. Full article

Laryngeal cancer significantly affects not only survival but also core functions such as speech, swallowing, and breathing. These impairments often result in substantial psychological distress and reduced health-related quality of life (HRQoL). This review aims to synthesize current evidence regarding the psychological impact, quality of life outcomes, and system-level challenges faced by laryngeal cancer patients while identifying strategies for integrated survivorship care. Anxiety and depressive symptoms are highly prevalent among laryngeal cancer patients, particularly those undergoing total laryngectomy or chemoradiotherapy. HRQoL outcomes vary significantly depending on treatment modality, with long-term deficits noted in domains such as voice, swallowing, and emotional well-being. Access to psychological support and rehabilitation remains inconsistent, hindered by institutional, socioeconomic, and cultural barriers. Structured survivorship models, psychological screening, and patient-centered rehabilitation have demonstrated benefits but are not universally implemented. Comprehensive care for laryngeal cancer must extend beyond tumor control to address persistent functional and psychological sequelae. A multidisciplinary, anticipatory, and personalized approach—centered on integrated rehabilitation and mental health support—is essential to optimize survivorship outcomes and improve long-term quality of life. Full article

Background: Healthy cognitive functioning is a primary component of well-being, independence, and successful aging. Cognitive deficits can arise from various conditions, such as brain injury, mental illness, and neurological disorders. Rehabilitation is a highly specialized service limited to patients who have access to institutional settings. In response to this unmet need, telehealth solutions are ideal for triggering the migration of care from clinics to patients’ homes. Objectives: The aim of EARLY-COGN^3 will be threefold: (1) to test the efficacy of a digital health at-home intervention (tele@cognitive protocol) as compared to an unstructured cognitive at-home rehabilitation in a cohort of patients with Chronic Neurological Diseases (CNDs); (2) to investigate its effects on the biomolecular and neurophysiological marker hypothesizing that people with CNDs enrolled in this telerehabilitation program will develop changes in biological markers and cortical and subcortical patterns of connectivity; (3) to analyze potential cognitive, neurobiological, and neurophysiological predictors of response to the tele@cognitive treatment. Method: In this single-blind, randomized, and controlled pilot study, we will assess the short- and long-term efficacy of cognitive telerehabilitation protocol (tele@cognitive) as compared to an unstructured cognitive at-home rehabilitation (Active Control Group—ACG) in a cohort of 60 people with Mild Cognitive Impairment (MCI), Subjective Cognitive Complaints (SCCs), or Parkinson’s Disease (PD). All participants will undergo a clinical, functional, neurocognitive, and quality of life assessment at the baseline (T0), post-treatment (5 weeks, T1), and at the 3-month (T2) follow-up. Neurophysiological markers and biomolecular data will be collected at T0 and T1. Conclusions: EARLY-COGN^3 project could lead to a complete paradigm shift from the traditional therapeutic approach, forcing a reassessment on how CNDs could take advantage of a digital solution. (clinicaltrials.gov database, ID: NCT06657274) Full article

Children growing up in institutions lack a stable relationship—essential for development. A significant proportion of them have disorganised attachment, which is associated with negative outcomes. Therefore, interventions aimed at improving attachment security are needed. We conducted a case series study (involving five participants aged 8–11 years) in a newly established psychosocial rehabilitation daycare centre to describe the changes in attachment security and mental health of institutionalised children after one year of attendance. The intervention consisted of individualised care focusing on staff building a trusting relationship with participants using the principles of Trust-Based Relational Intervention^® (TBRI). Measures such as the Child Attachment Interview, SDQ, CBCL6/18, TRF6/18, and clinical interviews were used to follow change. The descriptive data of five participants are presented. All five children improved in mental health, and for two participants, organisation of attachment changed. Three children experienced relational ruptures. The findings suggest that psychosocial interventions that focus on building trusting relationships may be beneficial in institutionalised children. For these children, given their life history, it can be damaging to experience repeated breakdowns. Thus, the practical implication is that any new relationship for them with an adult should be established after an assessment of whether the relationship can be sustained. Full article

The Trail Making Test (TMT) is one of the most commonly administered tests in clinical and research neuropsychological settings. The two parts of the test (part A (TMT-A) and part B (TMT-B)) enable the evaluation of visuoperceptual tracking and processing speed (TMT-A), as well as divided attention, set-shifting and cognitive flexibility (TMT-B). The main cognitive processes that are assessed using TMT, i.e., processing speed, divided attention, and cognitive flexibility, are often affected in patients with stroke. Considering the wide use of TMT in research and clinical settings since its introduction in neuropsychological practice, the purpose of our review was to provide a comprehensive overview of the use of TMT in stroke patients. We present the most representative studies assessing processing speed and attentional shift/mental flexibility in stroke settings using TMT and applying scoring methods relying on conventional TMT scores (e.g., time-to-complete part A and part B), as well as derived measures (e.g., TMT-(B-A) difference score, TMT-(B/A) ratio score, errors in part A and part B). We summarize the cognitive processes commonly associated with TMT performance in stroke patients (e.g., executive functions), lesion characteristics and neuroanatomical underpinning of TMT performance post-stroke, the association between TMT performance and patients’ instrumental activities of daily living, motor difficulties, speech difficulties, and mood statue, as well as their driving ability. We also highlight how TMT can serve as an objective marker of post-stroke cognitive recovery following the implementation of interventions. Our comprehensive review underscores that the TMT stands as an invaluable asset in the stroke assessment toolkit, contributing nuanced insights into diverse cognitive, functional, and emotional dimensions. As research progresses, continued exploration of the TMT potential across these domains is encouraged, fostering a deeper comprehension of post-stroke dynamics and enhancing patient-centered care across hospitals, rehabilitation centers, research institutions, and community health settings. Its integration into both research and clinical practice reaffirms TMT status as an indispensable instrument in stroke-related evaluations, enabling holistic insights that extend beyond traditional neurological assessments. Full article

The acute phase of COVID-19 often leaves patients with persistent pulmonary deficits. Pulmonary Rehabilitation (PR) has been recommended as an essential part of post-acute COVID-19 management. In light of the global pandemic, telerehabilitation has been increasingly employed to deliver PR. This systematic review aimed to evaluate the effectiveness of telemedicine-driven PR in patients recovering from the acute phase of COVID-19, assessing variations in telerehabilitation practices and identifying the degree of change in mental health, physical health, quality of life, and lung function. A systematic search was conducted across PubMed, Web of Science, Cochrane, and Scopus up until April 2023. Studies focusing on telerehabilitation in PR for post-acute COVID-19 patients with outcomes including pulmonary function, exercise capacity, and quality of life were included after careful assessment of this study’s protocol. The selection process involved careful scrutiny of abstracts and full texts, and the quality assessment was performed using the National Heart, Lung, and Blood Institute (NHLBI) tool. Seven studies, published between 2021 and 2022, involving a total of 412 patients, were included. The evaluated telerehabilitation programs stretched between 4 and 10 weeks, involving a mobile app or video connection with the patient, integrating a mix of aerobic and resistance training, breathing exercises, functional activities, and muscle strengthening. Findings revealed that telemedicine-driven PR significantly improved physical health, measured by the step test score (73 vs. 71), 6MWD (30.2 vs. 17.1) and BPAQ, mental health evaluated by SF-12 (6.15 vs. 4.17) and PHQ-4, quality of life measured by the SF-12 (7.81 vs. 3.84), SGRQ (31.5 vs. 16.9), and CAT scores, and some parameters of pulmonary function in post-acute COVID-19 patients (mMRC, STST, and MVV). This review substantiates the potential of telemedicine-driven PR to improve various health outcomes in post-acute COVID-19 patients. The findings underscore the importance of integrating telerehabilitation into the management of post-acute COVID-19 and call for further exploration of its long-term effects, cost-effectiveness, and best practices. Full article

Background: Scientific and technological advancements have significantly impacted our daily lives, and it is not easy to imagine living without their benefits. However, elderly individuals may experience limited access to these resources, impeding their autonomy. To address this, the use of exergames has been proposed to promote the mental health and socialization of older people. This study aims to systematically review the effectiveness of exergames in promoting older people’s mental health and socialization. Methods: The Joanna Briggs Institute’s recommended methodology will be used for a systematic review. Databases relevant to the research topic, such as those regarding gerontologic care, aged rehabilitation, geriatric games, video games, play and playthings, mental health, anxiety, depression, stress, and physiological factors, will be searched for experimental and quasi-experimental studies, as well as randomized studies with and without control groups. Results: The systematic literature review will synthesize findings on the effectiveness of exergames in promoting mental health and socialization in the elderly population. Conclusions: Exergames may have the potential to effectively improve the mental health and socialization of the elderly population. Identifying which exergames are most effective for these purposes is important to inform the provision of healthcare to this population. Full article

(1) Background: Currently, Taiwan has adopted a “person-centered” approach to Advance Care, including Hospice Palliative Care and Advance Decisions, both of which are intended to enhance the right of individuals to choose their own end-of-life care; however, it is extremely challenging and difficult to implement the principle of autonomy for psychiatric patients. (2) Methodology: The aim in this study is to investigate the factors affecting the intention of day ward patients to sign up for hospice and palliative care by using the questionnaire content of the “Survey on Knowledge, Attitude Toward, Experience, and Behavior Intention to Sign Up for Hospice and Palliative Care”. A cross-sectional design compliant with STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) was employed. An independent sample t-test, Pearson’s correlation analysis, and stepwise regression analysis were used to determine the factors influencing the intention of psychiatric patients to sign up for advanced care planning. (3) Results: The relationships between knowledge of and attitude toward advanced care planning, knowledge of and behavior intention to sign up for advanced care planning, and attitude toward and behavior intention to sign up for advanced care planning were all positive (p-value < 0.001). The final three most relevant indicators were attitude toward hospice and palliative care, hospitalization of family members during the previous five years, and death of a close friend within the previous five years. (4) Conclusions: The results of the study show that the hospice and palliative care attitude and past experience of psychiatric patients affect the intention to sign up, reminding us that psychiatric patients are at an increased risk of decision-making disability as their illness progresses and that, in addition to initiating the discussion of Advance Care Planning as soon as possible, it may be an opportune time for medical professionals to actively promote Advance Care Planning among their patients. Full article

Driving enables stroke survivors to freely participate in social integration. The purpose of this review was to summarize the evidence for the therapeutic effects of driving rehabilitation for patients when they return to driving after stroke and evaluate the predictors of returning to driving to identify the factors impacting their driving rehabilitation. This study employed a systematic review and meta-analysis. PubMed and four other databases were searched until 31 December 2022. Our review included randomized controlled trials (RCT) and non-RCTs that investigated driving rehabilitation for stroke and observational studies. A total of 16 studies (two non-RCT and 14 non-RCT) were reviewed; two RCTs investigated the effect of driving rehabilitation with a simulator system, and eight and six non-RCTS evaluated the predictive factors of driving return post-stroke and compared the effects of driving rehabilitation for stroke, respectively. The National Institute of Health Stroke Scale (NIHSS) and Mini Mental State Examination (MMSE) scores and having paid employment were significant predictors of resuming driving after stroke. The results suggest that NIHSS, MMSE, and paid employment are predictors of returning to driving post-stroke. Future research should investigate the effect of driving rehabilitation on the resumption of driving in patients with stroke. Full article

(1) Background: Workers who perform emotional labor for an extended period are prone to emotional exhaustion; in particular, when the work exceeds the range of one’s emotional resources, it will produce job burnout. This study investigated the effects of emotional labor and emotional exhaustion on the physical and mental health of health professionals. (2) Methods: This study was cross-sectional and the sampling criteria were health professionals from August 2020 to July 2021, including rehabilitators, nutritionists, clinical psychologists, radiologists, respiratory therapists, pharmacists, medical examiners and audiologists. A questionnaire was used to collect data on participants’ emotional labor, emotional exhaustion, physical health and mental health. A total of 120 valid questionnaires were obtained. (3) Results: Significant positive correlations were found between emotional labor and emotional exhaustion, physical and mental health and anxiety. A hierarchical regression analysis found that the effect of emotional labor on physical and mental health increased the predictive power to 59.7% through emotional exhaustion, and emotional exhaustion had a mediating effect on the relationship between emotional labor and physical and mental health. (4) Conclusions: This study provides a reference for managers of medical institutions to care for employees’ work stress and physical and mental health, which will help institutions build a friendly and healthy workplace. Full article

With the rapid development of Internet of Things (IoT) technologies, traditional disease diagnoses carried out in medical institutions can now be performed remotely at home or even ambient environments, yielding the concept of the Internet of Health Things (IoHT). Among the diverse IoHT applications, inertial measurement unit (IMU)-based systems play a significant role in the detection of diseases in many fields, such as neurological, musculoskeletal, and mental. However, traditional numerical interpretation methods have proven to be challenging to provide satisfying detection accuracies owing to the low quality of raw data, especially under strong electromagnetic interference (EMI). To address this issue, in recent years, machine learning (ML)-based techniques have been proposed to smartly map IMU-captured data on disease detection and progress. After a decade of development, the combination of IMUs and ML algorithms for assistive disease diagnosis has become a hot topic, with an increasing number of studies reported yearly. A systematic search was conducted in four databases covering the aforementioned topic for articles published in the past six years. Eighty-one articles were included and discussed concerning two aspects: different ML techniques and application scenarios. This review yielded the conclusion that, with the help of ML technology, IMUs can serve as a crucial element in disease diagnosis, severity assessment, characteristic estimation, and monitoring during the rehabilitation process. Furthermore, it summarizes the state-of-the-art, analyzes challenges, and provides foreseeable future trends for developing IMU-ML systems for IoHT. Full article

During the COVID-19 emergency, institutional social distancing conditions were established, preventing family and caregivers’ access to rehabilitation departments. Our study goal was to assess inpatients’ and caregivers’ anxiety, depression, and Quality of Life (QoL) during the Italian lockdown due to the pandemic. We investigated anxiety, depression, and QoL in 53 patients and 51 caregivers, using the Beck Anxiety Inventory (BAI), the Beck Depression Inventory-II (BDI-II), and the Short Form 36 Health Survey (SF36). These questionnaires were given to patients after one (T0) and two months (T1) since the hospitalization. The BAI showed that anxiety was moderate for 7.5% of patients and 23.5% of caregivers, and severe for 35.8% of patients and 17.6% of caregivers. The BDI found moderate depression in 11.3% of patients and 15.7% of caregivers, and severe depression in 34.0% of patients and 9.8% of caregivers. Depression was higher in patients than caregivers, while no differences were detected in anxiety. Compared to normative data, patients’ QoL declined in all eight SF36 dimensions, while caregivers’ QoL declined only in social, emotional, and mental components. Unexpectedly, patients still hospitalized at T1 showed significant improvements in both anxiety and three QoL subscores. These findings emphasize the importance of psychological support for patients and their families. Full article

Poststroke depression (PSD) is a major psychiatric disorder that develops after stroke; however, whether PSD treatment improves cognitive and functional impairments is not clearly understood. We reviewed data from 31 subjects with PSD and 34 age-matched controls without PSD; all subjects underwent neurological, cognitive, and functional assessments, including the National Institutes of Health Stroke Scale (NIHSS), the Korean version of the Mini-Mental Status Examination (K-MMSE), computerized neurocognitive test (CNT), the Korean version of the Modified Barthel Index (K-MBI), and functional independence measure (FIM) at admission to the rehabilitation unit in the subacute stage following stroke and 4 weeks after initial assessments. Machine learning methods, such as support vector machine, k-nearest neighbors, random forest, voting ensemble models, and statistical analysis using logistic regression were performed. PSD was successfully predicted using a support vector machine with a radial basis function kernel function (area under curve (AUC) = 0.711, accuracy = 0.700). PSD prognoses could be predicted using a support vector machine linear algorithm (AUC = 0.830, accuracy = 0.771). The statistical method did not have a better AUC than that of machine learning algorithms. We concluded that the occurrence and prognosis of PSD in stroke patients can be predicted effectively based on patients’ cognitive and functional statuses using machine learning algorithms. Full article

Widely across the globe, COVID-19 has placed massive strain on various parameters of life, including child protection, health, education and economic systems. Apart from these visible threats, this situation is having an ongoing devastating impact on the mental health and psychological wellbeing of people. Most young people leaving child care institutions (CCIs) on turning 18 are generally not prepared to leave care, but the transition has become even more difficult and worrisome during the pandemic. During the lockdown, most of these young people were stuck in their CCIs, and their rehabilitation plans—if they were made—could not be implemented, even though there were several mandates around Aftercare, as prescribed in The Juvenile Justice Act, 2015. The Care Leavers faced difficulties in various life domains, including a lack of access to higher education, the loss of jobs, economic disruptions, and social isolation, along with an overall impact on their mental health and physical health as an aftermath of COVID-19. Based on these issues and years of experience as practitioners, Udayan Care—an NGO in India—started a programme named the Aftercare Outreach Program (AOP), supporting Aftercare youth (Care Leavers) in their transition process in order to make them job-ready. This is an exploratory study designed to collect and analyse the data collected from the Care Leavers supported by the Aftercare Outreach Program (AOP), which included 54 Care Leavers from two places enrolled in it, i.e., 42 Care Leavers from Delhi and 12 from Vadodara. The findings of the study clearly indicate that planned and supported transition like AOP intervention can make a difference in the lives of Care Leavers, and can help them towards independent living, even more so in unprecedented times like COVID-19. Full article

Social stigma is inevitable for mentally ill patients, but how patients treat themselves is a priority for rehabilitation and an important buffer mechanism. This study thus aimed to measure the effectiveness of rehabilitation models for improving self-stigma. This quasi-experimental research design applied purposeful sampling. The participants (n = 250) were persons with mental illness who received rehabilitation treatment in central Taiwan. They were divided into community- (n = 170) and institution-based (n = 80) rehabilitation groups. The Internalized Stigma of Mental Illness Scale was evaluated at the time of recruitment, and a follow-up was conducted after 1 and 3 months. A generalized estimation equation was used in data analysis to measure whether self-stigma improved with the rehabilitation model and time, and to test the effect of different rehabilitation models on participants’ self-stigma improvement. The study found that the self-stigma of patients receiving CBR improved more than that of those receiving IBR when behavioral problems, education, OT level, sex, and first-time self-stigma were controlled. Returning to the community is the goal of rehabilitation for patients with mental illness, but IBR still dominates the rehabilitation model in Taiwan. Thus, it is necessary to continue promoting CBR plans for future mental health policies. Full article