Notes

Alantolactone: A new sesquiterpene lactone with various pharmacological outcomes.
Background Acupuncture is a classical complementary therapy, but benefits in palliative cancer pain are still unclear due to lack of consistent evidence. read more Objectives To comprehensively evaluate the effectiveness of acupuncture and derived therapies (such as electroacupuncture, laser acupuncture, and transcutaneous electrical nerve stimulation) for analgesia in palliative cancer care based on both single-arm and controlled trials. Design Eight databases were searched from inception to August 31, 2020. Both single-arm trials and controlled trials were included. The primary outcome was the change in pain intensity, as evaluated by the numeric rating scale (NRS) and the visual analog scale. Subjects Adults with cancer. Results Forty-one controlled studies with 2685 participants and 18 single-arm studies with 1084 participants were included. For controlled trials, meta-analysis indicated that acupuncture and derived therapies in addition led to greater reductions in the NRS score than conventional analgesics alone (weighted mean difference [WMD] 1.33 [0.85-1.82], p  less then  0.001). For single-arm trials, meta-analysis showed that both the immediate effect (WMD 1.57 [1.43-1.71], p  less then  0.001) and long-term longitudinal effect (WMD 1.81 [1.25-2.37], p  less then  0.001) of acupuncture on analgesia were positive, as evaluated by the NRS, respectively. The benefits of acupuncture and derived therapies were also seen in quality of life and the global improvement rate. LI4 (Hegu) was the most frequently used acupoint. Conclusions This systematic review supported the application of acupuncture and derived therapies for managing pain during palliative cancer care from two dimensions. Further studies could explore the effect of acupuncture on other predominant symptoms in palliative cancer patients.In recent years, investment in participatory research methods within mental health services research has grown. Participatory efforts are often limited in scope, however, and attention to research leadership is largely absent from discourse about stakeholder involvement in the United States. This Open Forum calls for investment in building a pipeline of researchers with significant psychiatric disabilities and intersecting lived experiences frequently studied in public sector services research, including homelessness, incarceration, comorbid health problems, structural racism, and poverty. A series of concrete steps are described that faculty and research leadership can take now.Statistical models, including those based on electronic health records, can accurately identify patients at high risk for a suicide attempt or death, leading to implementation of risk prediction models for population-based suicide prevention in health systems. However, some have questioned whether statistical predictions can really inform clinical decisions. Appropriately reconciling statistical algorithms with traditional clinician assessment depends on whether predictions from these two methods are competing, complementary, or merely duplicative. In June 2019, the National Institute of Mental Health convened a meeting, "Identifying Research Priorities for Risk Algorithms Applications in Healthcare Settings to Improve Suicide Prevention." Here, participants of this meeting summarize key issues regarding the potential clinical application of suicide prediction models. The authors attempt to clarify the key conceptual and technical differences between traditional risk prediction by clinicians and predictions from statistical models, review the limited evidence regarding both the accuracy of and the concordance between these alternative methods of prediction, present a conceptual framework for understanding agreement and disagreement between statistical and clinician predictions, identify priorities for improving data regarding suicide risk, and propose priority questions for future research. Future suicide risk assessment will likely combine statistical prediction with traditional clinician assessment, but research is needed to determine the optimal combination of these two methods.
Veterans, especially those residing in rural areas, continue to underutilize mental health care. This longitudinal study assessed attitudes relevant to seeking mental health care services from the Veterans Health Administration (VHA) over 12 months, adjusting for residence.

A questionnaire addressing attitudes, sociodemographic factors, residence, place identity, perceived health status and needs, and structural barriers was administered by telephone to 752 veterans with previous VHA service use. Service use data were obtained from a VHA database.

In adjusted models, four attitudes were significantly associated with underuse of VHA mental health care (no use vs. any use; no use vs. nonsustained use vs. sustained use). Higher levels of mistrust of others (adjusted odds ratio [AOR]=1.06, p=0.046), emotional stoicism (AOR=1.08, p=0.003), belief in the self-resolving nature of mental health problems (AOR=1.91, p=0.015), and belief in the efficacy of religious counseling for such problems (AOR=1.09, p=0.022)rgeted.
Profiles of depressive symptoms were identified among Hispanic, Black, and White parents involved in the child welfare service system, including changes in symptoms over time.

Participants (N=2,109) were parents receiving SafeCare, a home visitation intervention provided in a large, diverse child welfare system. Depressive symptoms were assessed with the Centers for Epidemiological Studies Depression Scale at baseline and at approximately every sixth home visit, up to a total of four times. Univariate tests examined the relationship between baseline symptoms, race-ethnicity, and service participation. Latent class growth analyses identified trajectories of depressive symptoms during participation in child welfare services.

Participation in services was affected by depressive symptoms. Forty percent of parents did not remain long enough in the program to complete a second CES-D assessment, and those who reported more symptoms at baseline were significantly less likely to do so. Among parents who engaged in services, distinct profiles of depressive symptoms emerged that differed by race-ethnicity. For non-Hispanic Black parents, no changes in depressive symptoms over time were noted, regardless of level of severity at baseline. link2 Parents with the highest levels of symptoms did not improve over time.

Despite receipt of supportive and recovery-oriented services specifically focused on empowering child welfare-involved parents, many experienced elevated depressive symptoms. Integration of child welfare and community mental health systems may improve both service engagement and mental health among child welfare-involved families.
Despite receipt of supportive and recovery-oriented services specifically focused on empowering child welfare-involved parents, many experienced elevated depressive symptoms. Integration of child welfare and community mental health systems may improve both service engagement and mental health among child welfare-involved families.
The authors examined whether shifts in mental health-related stigma differed across racial-ethnic groups over the course of a California statewide antistigma campaign and whether racial-ethnic disparities were present at the beginning of the campaign and 1 year later.

Participants had taken part in the 2013 and 2014 California Statewide Surveys (CASSs), a longitudinal, random-digit-dialing telephone survey of California adults ages ≥18 years (N=1,285). Surveys were administered in English, Spanish, Mandarin, Cantonese, Vietnamese, Khmer, and Hmong.

Compared with Whites, Latino and Asian respondents who preferred to take the survey in their native language had higher levels of mental health-related stigma on several domains of the 2013 CASS. Specifically, Latino and Asian respondents who completed the survey in their native language were more likely than White respondents to report social distance, prejudice, and perceptions of dangerousness toward people with mental illness. These racial-ethnic disparities persisted 1 year later on the 2014 CASS. Latino-Spanish respondents experienced significant decreases in social distance over the course of the campaign but not to a degree that eliminated disparities on the 2014 CASS. Of note, perceptions of dangerousness of people with mental illness significantly increased among Latino-Spanish respondents between the 2013 and 2014 CASSs.

Future research is needed to better understand which components of antistigma campaigns are effective across racial-ethnic minority groups and whether more targeted efforts are needed, especially in light of the persistent and growing racial-ethnic disparities in mental health care.
Future research is needed to better understand which components of antistigma campaigns are effective across racial-ethnic minority groups and whether more targeted efforts are needed, especially in light of the persistent and growing racial-ethnic disparities in mental health care.
People with chronic general medical conditions who have comorbid depression experience poorer health outcomes. link3 This problem has received scant attention in low- and middle-income countries. The aim of the ongoing study reported here is to refine and promote the scale-up of an evidence-based task-sharing collaborative care model, the Mental Health Integration (MhINT) program, to treat patients with comorbid depression and chronic disease in primary health care settings in South Africa.

Adopting a learning-health-systems approach, this study uses an onsite, iterative observational implementation science design. Stage 1 comprises assessment of the original MhINT model under real-world conditions in an urban subdistrict in KwaZulu-Natal, South Africa, to inform refinement of the model and its implementation strategies. Stage 2 comprises assessment of the refined model across urban, semiurban, and rural contexts. In both stages, population-level effects are assessed by using the RE-AIM (Reach, Effectiveness, An science to promote wider dissemination and sustainment of the intervention.
Spiritual Psychotherapy for Inpatient, Residential, and Intensive Treatment (SPIRIT) is a flexible clinical protocol for delivering spiritually integrated group psychotherapy within acute psychiatric settings. The authors evaluated SPIRIT's feasibility by examining patients' perceptions of its benefits and clinical and spiritual predictors of observed effects associated with this intervention.

Over a 1-year period, 22 clinicians stationed on 10 clinical units provided SPIRIT to 1,443 self-referred patients with a broad range of demographic, clinical, and spiritual and religious characteristics.

Overall, patients' perceptions of benefit from SPIRIT were not associated with demographic factors. Clinical factors similarly did not predict treatment responses, suggesting that SPIRIT is equally suitable for patients with mood, anxiety, traumatic, substance use, psychotic, feeding or eating, or personality disorders and for patients with high levels of acuity. Patients with high levels of religious belief responded better to treatment, but patients with low levels of spiritual and religious identity also reported significant benefits. Patients responded better to SPIRIT when it was delivered by clinicians who reported not being affiliated with a religion than did patients receiving the SPIRIT intervention through clinicians who reported a religious affiliation.

Results indicate that SPIRIT is feasible in providing spiritually integrated treatment to diverse patients across multiple levels of acute psychiatric care.
Results indicate that SPIRIT is feasible in providing spiritually integrated treatment to diverse patients across multiple levels of acute psychiatric care.
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