A comparative study of mental health diagnoses, symptoms, treatment, and medication use among Orthodox Jews

2022 ◽  
pp. 136346152110686
Author(s):  
Steven Pirutinsky ◽  
David H. Rosmarin
Keyword(s):  
Mental Health ◽  
New York ◽  
Medication Use ◽  
Orthodox Jews ◽  
The Other ◽  
Orthodox Jewish ◽  
Health Clinic ◽  
Recent Developments ◽  
Media Narratives ◽  
Modern Orthodox

Historical clinical reports and media narratives suggest that Orthodox Jews are reticent to seek treatment for mental illness, present only with serious concerns, and hesitate to comply with treatment in general and psychopharmacology in particular. On the other hand, recent developments, and some limited research, suggest that Orthodox Jews may be likely to seek and comply with treatment. The current study compared the diagnostic, symptomatic, and treatment characteristics of 191 Orthodox Jews and 154 control patients all presenting to a large private mental health clinic with offices throughout greater New York. Results indicated that the groups were largely demographically similar, and that their diagnoses did not significantly differ. Orthodox Jews initially presented with lower levels of symptoms, terminated with similar symptom levels, attended a similar number of sessions, and were equally likely to use psychopharmacological interventions of similar types, compared to controls. This was equally true of ultra-Orthodox and modern Orthodox Jews. Clinicians providing mental health services to Orthodox Jews should be aware of these findings, which contrast with existing clinical and popular stereotypes. Further, excessive efforts to protect Orthodox Jewish patients against stigma may be unnecessary and counterproductive.

Predictors of Intentional Self -Harm Among Medicaid Mental Health Clinic Clients In New York

2021 ◽  
Author(s):  
Mahfuza Rahman ◽  
Emily Leckman-Westin ◽  
Barbara Stanley ◽  
Jamie Kammer ◽  
Deborah Layman ◽  
...  
Keyword(s):  
Mental Health ◽  
New York ◽  
Health Clinic ◽  
Mental Health Clinic ◽  
Self Harm

scholarly journals Analysis of the impact of antidepressants and other medications on COVID-19 infection risk in a chronic psychiatric in-patient cohort

BJPsych Open ◽  
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Catherine L. Clelland ◽  
Krista Ramiah ◽  
Louisa Steinberg ◽  
James D. Clelland
Keyword(s):  
Mental Health ◽  
New York ◽  
Reuptake Inhibitor ◽  
Selective Serotonin Reuptake Inhibitors ◽  
New York State ◽  
Medication Use ◽  
Infection Risk ◽  
York State ◽  
Antidepressant Use ◽  
The Impact

Background During the first wave of the coronavirus disease 2019 (COVID-19) pandemic, patients with confirmed cases in New York State accounted for roughly 25% of total US cases, with psychiatric hospital in-patients at particularly high risk for COVID-19 infection. Aims The beneficial effects of mental health medications, such as selective serotonin reuptake inhibitors (SSRIs), on the severity of COVID-19 disease outcomes have been documented. Protective effects against infection have also been suggested for these medications. We therefore tested the hypothesis that medication use modifies the risk of COVID-19 infection in a long-stay, chronic in-patient psychiatry setting, where the potential for exposure was likely uniform across the facility, and where these medications were routinely prescribed. Method This was a retrospective cohort study of an adult psychiatric facility operated by the New York State Office of Mental Health. Current medication information and COVID-19 status was collected from electronic medical records for 165 people who were in-patients during the period January to July 2020, and logistic regression was employed to model the main effects of medication use on COVID-19 infection. Results A significant protective association was observed between antidepressant use and COVID-19 infection (odds ratio (OR) = 0.33, 95% CI 0.15–0.70, adjusted P < 0.05). Analysis of individual antidepressant classes showed that SSRI, serotonin-norepinephrine reuptake inhibitor and the serotonin-2 antagonist reuptake inhibitor classes of antidepressants, drove this protective effect. Exploratory analyses of individual antidepressants demonstrated an association between lower risk of infection and fluoxetine use (P = 0.023), as well as trazodone use (P = 0.001). Conclusions The novel finding of reduced COVID-19 infection risk for psychiatric in-patients taking antidepressants, suggests that antidepressants may be an important weapon in the continued fight against COVID-19 disease. This finding may become particularly salient for in-patient settings if vaccine-resistant strains of the virus appear.

Developing a Comprehensive Trauma- and Resiliency- Focused Program After Superstorm Sandy in New York City

2018 ◽  
Vol 13 (03) ◽  
pp. 613-617 ◽  
Author(s):  
Maria Scigliano ◽  
Virginia Roncaglione ◽  
Paula A. Madrid
Keyword(s):  
Mental Health ◽  
Health Care ◽  
New York ◽  
New York City ◽  
Mental Health Care ◽  
York City ◽  
Health Clinic ◽  
Mobile Clinic ◽  
Superstorm Sandy

ABSTRACTTo contribute to the ongoing discourse about successful programming supporting intermediate behavioral and mental health needs of vulnerable communities affected by disaster, this article presents the Children’s Health Fund (CHF) Sandy Recovery and Resiliency Program as a descriptive case study for a multifaceted, community-based approach to building resiliency, coping, and socioemotional skills in an underserved community in New York City that was affected by Superstorm Sandy. The case study involves retrospective review and analysis of qualitative and quantitative data that were collected as part of routine care and program implementation. From the analysis emerged a program consisting of 3 components: (1) delivery of workshops and community events to decrease stigma and build community-wide resilience, (2) delivery of workshops for students and educators in the local school to increase coping skills as well as referrals to clinical mental health care, and (3) provision of mental health care via a mobile mental health clinic. As a result, we found that following periods of excessive trauma, children and families require a broad-based approach to mental health support. Additionally, the use of the mobile clinic abated most common access barriers and served as a proxy of the concern of the organization for the community. (Disaster Med Public Health Preparedness. 2018;page 1 of 5)

scholarly journals Mental Health Service and Medication Use in New York City After the September 11, 2001, Terrorist Attack

2004 ◽  
Vol 55 (3) ◽  
pp. 274-283 ◽  
Author(s):  
Joseph A. Boscarino ◽  
Sandro Galea ◽  
Richard E. Adams ◽  
Jennifer Ahern ◽  
Heidi Resnick ◽  
...  
Keyword(s):  
Mental Health ◽  
New York ◽  
New York City ◽  
Mental Health Service ◽  
Health Service ◽  
York City ◽  
Terrorist Attack ◽  
Medication Use ◽  
September 11

Predictors of Client Satisfaction with Outpatient Mental Health Clinic Services in Italy and New York

2017 ◽  
Vol 54 (5) ◽  
pp. 562-570 ◽  
Author(s):  
Luca Pauselli ◽  
Chiara Galletti ◽  
Norma Verdolini ◽  
Enrico Paolini ◽  
Daniela Gallucci ◽  
...  
Keyword(s):  
Mental Health ◽  
New York ◽  
Client Satisfaction ◽  
Health Clinic ◽  
Mental Health Clinic ◽  
Outpatient Mental Health

scholarly journals Population-based implementation of behavioral health detection and treatment into primary care: Early data from New York State

2021 ◽  
Author(s):  
Deborah J. Bowen ◽  
Ashley Heald ◽  
Erin LePoire ◽  
Amy Jones ◽  
Danielle Gadbois ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
New York ◽  
Behavioral Health ◽  
Collaborative Care ◽  
Technical Assistance ◽  
New York State ◽  
Health Clinic ◽  
Initial Contact ◽  
York State

Abstract Background The Collaborative Care Model is a well-established, evidence-based approach to treating depression and other common behavioral health conditions in primary care settings. Despite a robust evidence base, real world implementation of Collaborative Care has been limited and very slow. The goal of this analysis is to better understand the relationship between training, technical assistance, and implementation in the largest state-led Collaborative Care program in the nation—the New York State Collaborative Care Medicaid Program.Data are presented using the RE-AIM model, examining the proportion of clinics in each of the model’s five stages from 2014 to 2019.MethodsWe used the RE-AIM model to shape our data presentation, focusing on the proportion of clinics moving into each of the five stages of this model over the years of implementation. Data sources included: a New York State Office of Mental Health clinic tracking database, billing applications, quarterly reports, and Medicaid claims.ResultsA total lf 84% of clinics with which OMH had an initial contact [n = 611clinics (377 FQHCs and 234 non-FQHCs)] received some form of training and technical assistance. 51% went on to complete a billing application, 41% reported quarterly data at least once, and 20% were able to successfully bill Medicaid. 79% of clinics that reported data maintained Collaborative Care for one year or more. The receipt of any training and technical assistance was significantly associated with our implementation indices: (completed billing application, data reporting, billing Medicaid, and maintaining Collaborative Care). The average percent of patient improvement for depression and anxiety across 155 clinics that had at least one quarter of data was 44.81%. Training and technical assistance source (Office of Mental Health, another source, or both) and intensity (high/low) were significantly related to implementation indices and were observed in FQHC versus non-FQHC samples.ConclusionsOffering Collaborative Care training and technical assistance, particularly high intensity training and technical assistance, increases the likelihood of implementation. Other state-wide organizations might consider the provision of training and technical assistance when assisting clinics to implement Collaborative Care.

scholarly journals Population-based implementation of behavioral health detection and treatment into primary care: early data from New York state

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Deborah J. Bowen ◽  
Ashley Heald ◽  
Erin LePoire ◽  
Amy Jones ◽  
Danielle Gadbois ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
New York ◽  
Behavioral Health ◽  
Collaborative Care ◽  
Technical Assistance ◽  
New York State ◽  
Health Clinic ◽  
Initial Contact ◽  
York State

Abstract Background The Collaborative Care Model is a well-established, evidence-based approach to treating depression and other common behavioral health conditions in primary care settings. Despite a robust evidence base, real world implementation of Collaborative Care has been limited and very slow. The goal of this analysis is to better describe and understand the progression of implementation in the largest state-led Collaborative Care program in the nation—the New York State Collaborative Care Medicaid Program. Data are presented using the RE-AIM model, examining the proportion of clinics in each of the model’s five steps from 2014 to 2019. Methods We used the RE-AIM model to shape our data presentation, focusing on the proportion of clinics moving into each of the five steps of this model over the years of implementation. Data sources included: a New York State Office of Mental Health clinic tracking database, billing applications, quarterly reports, and Medicaid claims. Results A total of 84% of clinics with which OMH had an initial contact [n = 611clinics (377 FQHCs and 234 non-FQHCs)] received some form of training and technical assistance. Of those, 51% went on to complete a billing application, 41% reported quarterly data at least once, and 20% were able to successfully bill Medicaid. Of clinics that reported data prior to the first quarter of 2019, 79% (n = 130) maintained Collaborative Care for 1 year or more. The receipt of any training and technical assistance was significantly associated with our implementation indices: (completed billing application, data reporting, billing Medicaid, and maintaining Collaborative Care). The average percent of patient improvement for depression and anxiety across 155 clinics that had at least one quarter of data was 44.81%. Training and technical assistance source (Office of Mental Health, another source, or both) and intensity (high/low) were significantly related to implementation indices and were observed in FQHC versus non-FQHC samples. Conclusions Offering Collaborative Care training and technical assistance, particularly high intensity training and technical assistance, increases the likelihood of implementation. Other state-wide organizations might consider the provision of training and technical assistance when assisting clinics to implement Collaborative Care.

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