Objective This pilot randomized controlled trial aimed to evaluate the effects of an 8‐week mindfulness‐based stress reduction (MBSR) program on anxiety, depression, and sleep quality in hospitalized patients with chronic unilateral hemiplegia. Methods Forty inpatients were randomly assigned to an intervention group ( n = 20, receiving 8 weekly one‐on‐one MBSR sessions plus routine care) or a control group ( n = 20, routine care only). The Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), and Pittsburgh Sleep Quality Index (PSQI) were administered before and after the intervention. Group allocation was concealed using sequentially numbered, opaque, sealed envelopes managed by an independent researcher. Results In the intervention group, significant pre‐ to postimprovements were observed in HAMA scores (from 18.10 ± 2.80 to 16.40 ± 2.60, paired t = 6.962, p < 0.001, Cohen’s d = 1.62), HAMD scores (from 20.60 ± 4.81 to 19.55 ± 4.50, paired t = 3.566, p = 0.002, Cohen’s d = 0.83), and PSQI total scores (from 14.20 ± 2.46 to 12.70 ± 2.27, paired t = 7.092, p < 0.001, Cohen’s d = 1.54). Between‐group comparisons revealed that the intervention group demonstrated significantly lower HAMA scores than the control group postintervention (16.40 ± 2.60 vs. 18.75 ± 2.93, Cohen’s d = 0.82, p = 0.011). No significant between‐group differences were observed in HAMD scores (19.55 ± 4.50 vs. 18.80 ± 3.99, Cohen’s d = 0.07, p = 0.581). The PSQI total score showed a marginally significant between‐group difference (12.70 ± 2.27 vs. 14.30 ± 2.81, Cohen’s d = 0.51, p = 0.055), with significant between‐group differences observed in the sleep efficiency ( p = 0.011) and time to fall asleep ( p = 0.001) subdomains. Conclusion This pilot study suggests that an 8‐week one‐on‐one MBSR program may effectively reduce anxiety and improve specific sleep subdomains in hospitalized patients with unilateral hemiplegia. However, given the small sample size and the lack of significant improvement in depressive symptoms, these findings should be interpreted as preliminary. Future large‐scale randomized controlled trials with extended follow‐up are warranted to confirm these observations.
Aim/ObjectivesThis bibliometric study aimed to examine the scientific landscape of psychosocial telehealth and tele-nursing research and to identify major publication trends, collaborative structures, influential studies, and thematic developments within the field.BackgroundThe integration of digital technologies into health care has transformed nursing practice and expanded access to psychosocial support services. Telehealth and tele-nursing applications have become increasingly important in mental health and psychosocial care, particularly following the COVID-19 pandemic. This study was theoretically informed by Rogers' Diffusion of Innovations Theory.DesignBibliometric analysis.MethodsData were retrieved from the Web of Science Core Collection database, including English-language articles published between 2010 and 2024. Following a multistage screening and eligibility assessment process, 625 publications were included in the final dataset. Bibliometric analyses were conducted using Bibliometrix/Biblioshiny and VOSviewer. Publication trends, citation structures, keyword co-occurrence networks, and international collaboration patterns were analyzed.ResultsFindings demonstrated a substantial increase in psychosocial telehealth and tele-nursing publications, particularly after 2020. The United States, the United Kingdom, and Australia emerged as leading contributors within global collaboration networks. Dominant themes included mental health, telepsychiatry, digital health, resilience, psychosocial support, and nursing care. Highly cited studies mainly focused on telepsychiatry, chronic disease management, palliative care, and elderly care. The findings further suggested that psychosocial telehealth research has evolved into a more interdisciplinary and globally connected field, although disparities remain in the representation of low-resource regions.ConclusionsPsychosocial telehealth and tele-nursing research represent rapidly developing areas within healthcare literature. Future studies should strengthen nurse-led telehealth interventions, culturally sensitive psychosocial care models, and equitable digital healthcare strategies.
BackgroundAnimal-assisted therapies (AATs) have shown benefits for people with mental illness. A ten-session Dog-Assisted Therapy Nursing Intervention, AcompdogSMP+, based on Dr. Lluch's Multifactorial Model of Positive Mental Health (PMH), was created and validated to promote PMH behaviors.ObjectiveTo evaluate the impact of Dog-Assisted Therapy Nursing Intervention on PMH levels, facilitating psychosocial rehabilitation in adults with severe mental disorders in a Community Mental Health setting.Design and MethodsA quasiexperimental pretest-posttest study was carried out, including n 70 participants: 36 in the experimental group and 34 in the control group. The validated Lluch PMH Questionnaire was used as a pretest and posttest measurement instrument. Mixed analysis of variance assessed changes after the intervention and differences between groups. The primary outcomes were global PMH and its specific factors according to Dr. Lluch's theoretical model.ResultsThe intervention led to increases in both global PMH and the six specific factors of Dr. Lluch's model. Dog-assisted therapy effectively improved participants' personal satisfaction and well-being, autonomy, interpersonal relationship skills, and other model-specific factors.ConclusionsThe combination of AAT and PMH programs emerges as an innovative and complementary element in mental health therapeutics in community rehabilitation programs. Clinical nurses are recommended to pay more attention to the PMH status of patients and also have knowledge of nursing intervention "AAT" to design and implement them in clinical practice, as complementary therapy.Patient or Public ContributionPatients were not involved in the outcome measures or the design or implementation of the study. However, all participants were invited to complete the informed consent.Reporting MethodRelevant EQUATOR guidelines were followed using the TREND checklist. Trial Registration: Clinical trial.gov.identifier: (NCT05004298)Reporting MethodRelevant EQUATOR guidelines were followed using the TREND checklist. Trial Registration: Clinical trial.gov.identifier: (NCT05004298)
BackgroundAssociations at the variable level between problem behaviors and depressive symptoms have been established, while fine-grained directional pathways between specific symptoms over time have not been thoroughly mapped in adolescents. This study aimed to uncover the distinct longitudinal relationships between adolescents' internalizing and externalizing problem behaviors and depressive symptoms, employing comorbidity network analysis (CNA) and cross-lagged panel network (CLPN) analysis.MethodsParticipants from the China Family Panel Studies (CFPS), with data from 2018 (T1) and 2022 (T2), were included. Internalizing and externalizing problem behaviors and depressive symptoms were assessed using well-validated scales. CNA was performed to examine cross-sectional relationships, and CLPN analyzed longitudinal dynamics adjusting for covariates.ResultsA total of 1165 adolescents aged 9-15 years (mean age 12.12) were included. CNA identified "E4: Difficulty finishing school work" as a bridge symptom connecting other problem behaviors and depressive symptoms at T1 and "I4: Feel sad" at T2. CLPN revealed that "D2: Everything was an effort" exhibited the highest out-expected influence (1.67), and "I3: Feel lonely" exhibited the highest in-expected influence (1.99). Two strong negative bridging edges were as follows: "D8: Could not get going" -> "I8: Feel ashamed over mistakes at school" (OR = 0.89) and "E6: Get in trouble for fighting" -> "I5: Worry about school performance" (OR = 0.88). All externalizing problem behaviors acted as bridge symptoms.ConclusionThe study enabled precise detection of adolescents at risk and critical intervention targets by identifying key and bridge symptoms; early prevention and interventions to mitigate the subsequent trajectory of problem behaviors and mental health problems should be prioritized.
Objectives This study aimed to explore levels of caregiver burden in unpaid carers of people with Parkinson’s disease and explore the factors which contribute to and ease burden, with a focus on the differences of experience between higher‐ and lower‐burdened carers. Methods Opportunity sampling was used to recruit six participants, who were organised into lower and higher burden groups (three lower burden and three higher burden). Individual semistructured interviews with carers focused on caregiving experiences. Interviews were analysed using reflexive thematic analysis, paying particular attention to the groups of ‘lower’ or ‘higher’ burden, to determine whether or not themes were consistent within and across groups. Results Participants had a mean score of mild–moderate burden. From the interviews, three themes were identified: ‘Everything’s a fight or feeling supported’, ‘Everything you don’t know’ and ‘Everything for the family’. Conclusion The study supported previous research in establishing some of the key themes associated with caregiver burden, and how these present differently across differing levels of that burden. The findings of this, and similar research, should now be used to tailor support to caregivers, ensuring help is provided where it is most needed, to limit the risk of caregiver burden and associated health complications.
