Evaluating the relative influence of climate and human activities on recent vegetation dynamics in West Bengal, India.

Assessing the relative importance of climate change and human activities is important in developing sustainable management policies for regional land use. In this study, multiple remote sensing datasets, i.e. CHIRPS (Climate Hazard Group InfraRed Precipitation with Station Data) precipitation, MODIS Land Surface Temperature (LST), Enhanced Vegetation Index (EVI), Potential Evapotranspiration (PET), Soil Moisture (SM), WorldPop, and nighttime light have been analyzed to investigate the effect that climate change (CC) and regional human activities (HA) have on vegetation dynamics in eastern India for the period 2000 to 2022. The relative influence of climate and anthropogenic factors is evaluated on the basis of non-parametric statistics i.e., Mann-Kendall and Sen's slope estimator. Significant spatial and elevation-dependent variations in precipitation and LST are evident. Areas at higher elevations exhibit increased mean annual temperatures (0.22 °C/year, p < 0.05) and reduced winter precipitation over the last two decades, while the northern and southwest parts of West Bengal witnessed increased mean annual precipitation (17.3 mm/year, p < 0.05) and a slight cooling trend. Temperature and precipitation trends are shown to collectively impact EVI distribution. While there is a negative spatial correlation between LST and EVI, the relationship between precipitation and EVI is positive and stronger (R2 = 0.83, p < 0.05). Associated hydroclimatic parameters are potent drivers of EVI, whereby PET in the southwestern regions leads to markedly lower SM. The relative importance of CC and HA on EVI also varies spatially. Near the major conurbation of Kolkata, and confirmed by nighttime light and population density data, changes in vegetation cover are very clearly dominated by HA (87%). In contrast, CC emerges as the dominant driver of EVI (70-85%) in the higher elevation northern regions of the state but also in the southeast. Our findings inform policy regarding the future sustainability of vulnerable socio-hydroclimatic systems across the entire state.

Integration of Arts and Health Sciences in Developing an Opera on Veteran Resilience and Recovery.

There is an emerging literature on research interviews to inform arts projects, but little on opera. This case study illustrates how research data informed an opera on Veteran recovery. Deidentified interviews were selected from 280 adults with a history of depression at 10-year follow-up to a randomized trial. Interviews were used to inform characters, storyline, and libretto. Ethical strategies included: changing details and merging stories and characters to create two Veterans and one spouse as leads, a storyline, and choral passages, with a focus on recovery from post-traumatic stress and homelessness. To engage a broad audience and address stigma, accessible composition techniques (melody, harmony) were used. We found that qualitative/mixed data can inform libretto and composition for an opera on Veteran recovery, through integrating art and health science.

Impact of Opera on Mental Health Stigma: Pilot of Provider/Community Workshop.

BACKGROUND: Arts can influence mental health stigma, but little is known about impact of operas. We examined effects of a two-opera workshop on complicated grief and schizophrenia. METHODS: Pre-post audience surveys with post-workshop discussion. The primary outcome was a 4-item measure of willingness to engage with persons with grief or schizophrenia. Secondary outcomes were perceptions of art affecting stigma and stigma mediators. Of 47 participants, 33 had pre-post surveys for both operas. RESULTS: There was a significant pre-post opera increase in audience willingness to engage with persons with grief or schizophrenia (p < .001). Perceptions of impact on mediators such as empathy, were significantly greater for the opera on schizophrenia relative to grief (p < .001).. CONCLUSION: The pre- to post increase in audience willingness to engage with affected persons (primary) with greater impact on secondary mediators for the schizophrenia opera and post-discussion suggest that operas may be a forum for addressing mental health stigma and promoting empathy.

Community Interventions to Promote Mental Health and Social Equity.

PURPOSE OF REVIEW: We review recent community interventions to promote mental health and social equity. We define community interventions as those that involve multi-sector partnerships, emphasize community members as integral to the intervention, and/or deliver services in community settings. We examine literature in seven topic areas: collaborative care, early psychosis, school-based interventions, homelessness, criminal justice, global mental health, and mental health promotion/prevention. We adapt the social-ecological model for health promotion and provide a framework for understanding the actions of community interventions. RECENT FINDINGS: There are recent examples of effective interventions in each topic area. The majority of interventions focus on individual, family/interpersonal, and program/institutional social-ecological levels, with few intervening on whole communities or involving multiple non-healthcare sectors. Findings from many studies reinforce the interplay among mental health, interpersonal relationships, and social determinants of health. There is evidence for the effectiveness of community interventions for improving mental health and some social outcomes across social-ecological levels. Studies indicate the importance of ongoing resources and training to maintain long-term outcomes, explicit attention to ethics and processes to foster equitable partnerships, and policy reform to support sustainable healthcare-community collaborations.

Commentary: Community Partner Experiences in CPPR: What Participation in Partnered Research Can Mean to Community and Patient Stakeholders.

Community partners and stakeholders currently engaged in community partnered participatory research (CPPR) can provide personal and professional insight into the processes and outcomes surrounding the CPPR model. This insight may indicate alternative solutions or methods of care delivery that can improve the model and existing interventions. We conducted in-person and phone interviews with five community partners who are currently involved in CPPR. The interviews were audio- and video-recorded, transcribed, and major themes identified. Interviewees recounted their experiences with CPPR and reported various levels of personal (ie, behavioral) and professional growth as a result of their involvement. Interviewees also indicated that CPPR can highlight various aspects of existing interventions (eg, leadership structure, stakeholder representation, methods of provider-to-patient communication, and provision of resources) that may benefit from re-evaluation. Engagement in CPPR may offer various personal and professional benefits for individuals (ie, community partners) involved in stages of development, implementation, and dissemination. The benefits affect these individuals in several ways, from personal growth (eg, emotional maturity, behavioral progress, increased familial resiliency) to professional growth (eg, progression of one's career/role/responsibilities, organizational growth, learned skills). These maturations have secondary effects (eg, increased community resilience, strengthened relationships, community-based mentorships) impacting the communities in which these community partners serve.

Participatory Technology Development to Enhance Community Resilience.

Objective: To assess the feasibility of a novel, partnered technology development process to co-create mobile health applications (apps) addressing community health priorities, using psychoeducation of cognitive behavioral therapy (CBT) principles for enhancing resilience as an example. Design: Stakeholder engagement, workgroups, pilot feasibility study using mixed methods during October 2013 through January 2016 over three phases: 1) defining the vision of the project and increasing technical capacity, 2) co-development and pilot testing of the app, and 3) planning for sustainability. Setting: An academic-community partnership in South Los Angeles, California. Participants: Eight stakeholders; 30 pilot participants from the community. Main Outcome Measures: Qualitative analysis of audio-recordings of the app development process and stakeholder interviews, surveys of stakeholders' perception of the development process, app use data, and feedback from pilot participants. Results: The participatory technology development process resulted in creation and pilot-testing of a resiliency-focused text messaging app. Of the 1,107 messages sent, 23 out of 30 (77%) app users responded to explore interactive content. Stakeholders reported increased perceived competency in creating mobile apps and that the process fostered a culture of co-leadership. There was also sustained engagement in mobile app development by stakeholders beyond the initial project period. Conclusions: This is the first study, to our knowledge, to demonstrate the feasibility of participatory technology development, an approach involving direct participation in the development, tailoring and maintenance of a mobile app by a broad set of stakeholders with high representation from racial/ethnic minorities from an under-resourced community. Participatory technology development is a promising approach for creating sustainable, relevant and engaging health technologies across different technological, clinical and community settings.

Efficient processing of top-k frequent spatial keyword queries.

The rapid popularization of high-speed mobile communication technology and the continuous development of mobile network devices have given spatial textual big data (STBD) new dimensions due to their ability to record geographical objects from multiple sources and with complex attributes. Data mining from spatial textual datasets has become a meaningful study. As a popular topic for STBD, the top-k spatial keyword query has been developed in various forms to deal with different retrievals requirements. However, previous research focused mainly on indexing locational attributes and retrievals of few target attributes, and these correlations between large numbers of the textual attributes have not been fully studied and demonstrated. To further explore interrelated-knowledge in the textual attributes, this paper defines the top-k frequent spatial keyword query (tfSKQ) and proposes a novel hybrid index structure, named RCL-tree, based on the concept lattice theory. We also develop the tfSKQ algorithms to retrieve the most frequent and nearest spatial objects in STBD. One existing method and two baseline algorithms are implemented, and a series of experiments are carried out using real datasets to evaluate its performance. Results demonstrated the effectiveness and efficiency of the proposed RCL-tree in tfSKQ with the complex spatial multi keyword query conditions.

Patient and Provider Cocreation of Mobile Texting Apps to Support Behavioral Health: Usability Study.

BACKGROUND: Mobile technologies hold potential for improving the quality of care and engagement of patients. However, there are considerable challenges in ensuring that technologies are relevant, useful, and engaging. While end users such as patients and providers are increasingly involved in the design of health technologies, there are limited examples of their involvement in directly creating technologies for their personal use. OBJECTIVE: We aim to evaluate the feasibility and acceptability of patients and providers creating mobile texting apps to support treatment goals. METHODS: In an 11-month usability study, we enrolled 4 providers and 28 patients in an intensive outpatient program for obsessive-compulsive disorder. Patients and providers created their own mobile texting apps using a visual app development platform. A subsample of 10 patients and 4 providers completed a usability measure. RESULTS: Participants created a total of 360 unique mobile text messages (1787 total messages sent). There were 4 types of messages identified, including personalized reminders, clinical exposures, interactive prompts, and encouraging/informational messages. A total of 9 out of 10 (90%) patients agreed that the messages were relevant to their recovery, and 8 out of 10 (80%) agreed that the messages were effective at helping complete treatment plans. CONCLUSIONS: Enabling patients and providers to cocreate apps for their own use by using a visual application platform is feasible and holds potential for increasing the relevance, sustainability, and effectiveness of digital health technologies.

Community Interventions to Promote Mental Health and Social Equity.

(Reprinted with permission from Current Psychiatry Reports (2020) 21: 35).

Community Partners in Care (CPIC): Video Summary of Rationale, Study Approach / Implementation, and Client 6-month Outcomes.

"Community Partners in Care (CPIC): Video Summary of Rationale, Study Approach / Implementation, and Client 6-month Outcomes" is a 2 minute, 46 second video summarizing the study rationale, study approach, and the 6-month outcomes. The video was produced by four agencies: Healthy African American Families II, a health advocacy organization in South Los Angeles; Behavioral Health Services, the largest substance/alcohol abuse service provider in LA County; UCLA; and RAND Health; contract filmmakers Eileen Cabiling and Joe Mango handled cinematography, editing, and video support. The individuals appearing in the video are key CPIC community and academic partners. The celebratory tone of the video is consistent with a Community Partnered Participatory Research approach, a local variant of participatory action research, where study findings are celebrated by the partners, and dissemination efforts include approaches intended for general audiences, especially from low-income, low-literacy, minority communities, in addition to traditional academic products like peer-reviewed scientific manuscripts. The CPIC video offers a community perspective on the study results to our partners, the general public, other scientists and policy makers. We designed the video to teach community and healthcare partners how to adapt and implement the CPIC depression care model and to offer other community -academic partnerships an example of a non-traditional product developed for dissemination from an NIH-funded research study.

On measuring community participation in research.

Active participation of community partners in research aspects of community-academic partnered projects is often assumed to have a positive impact on the outcomes of such projects. The value of community engagement in research, however, cannot be empirically determined without good measures of the level of community participation in research activities. Based on our recent evaluation of community-academic partnered projects centered around behavioral health issues, this article uses semistructured interview and survey data to outline two complementary approaches to measuring the level of community participation in research-a "three-model" approach that differentiates between the levels of community participation and a Community Engagement in Research Index (CERI) that offers a multidimensional view of community engagement in the research process. The primary goal of this article is to present and compare these approaches, discuss their strengths and limitations, summarize the lessons learned, and offer directions for future research. We find that whereas the three-model approach is a simple measure of the perception of community participation in research activities, CERI allows for a more nuanced understanding by capturing multiple aspects of such participation. Although additional research is needed to validate these measures, our study makes a significant contribution by illustrating the complexity of measuring community participation in research and the lack of reliability in simple scores offered by the three-model approach.

An Exploration of the Effect of Community Engagement in Research on Perceived Outcomes of Partnered Mental Health Services Projects().

Mental health research projects address sensitive issues for vulnerable populations and are implemented in complex environments. Community-Based Participatory Research approaches are recommended for health research on vulnerable populations, but little is known about how variation in participation affects outcomes of partnered research projects. We developed a conceptual model demonstrating the impact of community engagement in research on outcomes of partnered projects. We collected data on key constructs from community and academic leaders of 21 sampled partnered research projects in two cycles of an NIMH research center. We conducted empirical analyses to test the model. Our findings suggest that community engagement in research is positively associated with perceived professional development, as well as political and community impact.