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Tadros E, Aguirre N, Jensen S, Poehlmann-Tynan J. COVID-19 Inspired Relational Telemental Health Services for Incarcerated Individuals and Their Families. CONTEMPORARY FAMILY THERAPY 2021; 43:214-225. [PMID: 33897102 PMCID: PMC8053417 DOI: 10.1007/s10591-021-09578-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2021] [Indexed: 12/23/2022]
Abstract
The novel coronavirus pandemic has caused marriage and family therapists (MFTs) to alter how they provide clinical services. MFTs must determine how to deliver relationship-oriented services to underserved populations that are often forgotten during crises, including incarcerated individuals and their families. The primary purpose of this paper is to showcase how relational telemental health (TMH) services for incarcerated individuals and their families can increase access to services and improve relational health. Information is presented about corrections in the U.S., effects of incarceration on partners, children, and other family members, the behavioral health and relationship needs of incarcerated individuals, and current approaches to relational mental health and telehealth in corrections. Finally, suggestions are offered on how relational TMH could be used in corrections during the COVID-19 pandemic, including advocacy for collaborative healthcare, recommended implementation practices, and ethical considerations.
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Affiliation(s)
- Eman Tadros
- Governors State University, University Park, IL USA
| | | | - Sarah Jensen
- University of Wisconsin-Madison, Madison, WI USA
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Wu Y, Levis B, Ioannidis JPA, Benedetti A, Thombs BD. Probability of Major Depression Classification Based on the SCID, CIDI, and MINI Diagnostic Interviews: A Synthesis of Three Individual Participant Data Meta-Analyses. PSYCHOTHERAPY AND PSYCHOSOMATICS 2021; 90:28-40. [PMID: 32814337 PMCID: PMC8993569 DOI: 10.1159/000509283] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 06/05/2020] [Indexed: 02/03/2023]
Abstract
INTRODUCTION Three previous individual participant data meta-analyses (IPDMAs) reported that, compared to the Structured Clinical Interview for the DSM (SCID), alternative reference standards, primarily the Composite International Diagnostic Interview (CIDI) and the Mini International Neuropsychiatric Interview (MINI), tended to misclassify major depression status, when controlling for depression symptom severity. However, there was an important lack of precision in the results. OBJECTIVE To compare the odds of the major depression classification based on the SCID, CIDI, and MINI. METHODS We included and standardized data from 3 IPDMA databases. For each IPDMA, separately, we fitted binomial generalized linear mixed models to compare the adjusted odds ratios (aORs) of major depression classification, controlling for symptom severity and characteristics of participants, and the interaction between interview and symptom severity. Next, we synthesized results using a DerSimonian-Laird random-effects meta-analysis. RESULTS In total, 69,405 participants (7,574 [11%] with major depression) from 212 studies were included. Controlling for symptom severity and participant characteristics, the MINI (74 studies; 25,749 participants) classified major depression more often than the SCID (108 studies; 21,953 participants; aOR 1.46; 95% confidence interval [CI] 1.11-1.92]). Classification odds for the CIDI (30 studies; 21,703 participants) and the SCID did not differ overall (aOR 1.19; 95% CI 0.79-1.75); however, as screening scores increased, the aOR increased less for the CIDI than the SCID (interaction aOR 0.64; 95% CI 0.52-0.80). CONCLUSIONS Compared to the SCID, the MINI classified major depression more often. The odds of the depression classification with the CIDI increased less as symptom levels increased. Interpretation of research that uses diagnostic interviews to classify depression should consider the interview characteristics.
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Affiliation(s)
- Yin Wu
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada;,Department of Psychiatry, McGill University, Montreal, Quebec, Canada;,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada
| | - Brooke Levis
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada;,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada;,Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK
| | - John P. A. Ioannidis
- Departments of Medicine, Health Research and Policy, Biomedical Data Science, and Statistics, Stanford University, Stanford, California, USA
| | - Andrea Benedetti
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada;,Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada;,Department of Medicine, McGill University, Montreal, Quebec, Canada
| | - Brett D. Thombs
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada;,Department of Psychiatry, McGill University, Montreal, Quebec, Canada;,Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, ontreal, Quebec, Canada;,Respiratory Epidemiology and Clinical Research Unit, McGill University Health Centre, Montreal, Quebec, Canada;,Department of Medicine, McGill University, Montreal, Quebec, Canada;,Department of Psychology, McGill University, Montreal, Quebec, Canada;,Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
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Fonkem E, Gatson NTN, Tadipatri R, Cole S, Azadi A, Sanchez M, Stefanowicz E. Telemedicine review in neuro-oncology: comparative experiential analysis for Barrow Neurological Institute and Geisinger Health during the 2020 COVID-19 pandemic. Neurooncol Pract 2020; 8:109-116. [PMID: 33889416 DOI: 10.1093/nop/npaa066] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) has grossly affected how we deliver health care and how health care institutions derive value from the care provided. Adapting to new technologies and reimbursement patterns were challenges that had to be met by the institutions while patients struggled with decisions to prioritize concerns and to identify new pathways to care. With the implementation of social distancing practices, telemedicine plays an increasing role in patient care delivery, particularly in the field of neurology. This is of particular concern in our cancer patient population given that these patients are often at increased infectious risk on immunosuppressive therapies and often have mobility limitations. We reviewed telemedicine practices in neurology pre- and post-COVID-19 and evaluated the neuro-oncology clinical practice approaches of 2 large care systems, Barrow Neurological Institute and Geisinger Health. Practice metrics were collected for impact on clinic volumes, institutional recovery techniques, and task force development to address COVID-19 specific issues. Neuro-Oncology divisions reached 67% or more of prepandemic capacity (patient visits and slot utilization) within 3 weeks and returned to 90% or greater capacity within 6 weeks of initial closures due to COVID-19. The 2 health systems rapidly and effectively implemented telehealth practices to recover patient volumes. Although telemedicine will not replace the in-person clinical visit, telemedicine will likely continue to be an integral part of neuro-oncologic care. Telemedicine has potential for expanding access in remote areas and provides a convenient alternative to patients with limited mobility, transportation, or other socioeconomic complexities that otherwise challenge patient visit adherence.
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Affiliation(s)
- Ekokobe Fonkem
- Barrow Neurological Institute Neuro-Oncology Department, Phoenix, Arizona
| | - Na Tosha N Gatson
- Geisinger Health, Danville, Pennsylvania.,Cancer Institute, Scranton, Pennsylvania.,Geisinger Commonwealth School of Medicine, Scranton, Pennsylvania
| | - Ramya Tadipatri
- Barrow Neurological Institute Neuro-Oncology Department, Phoenix, Arizona
| | - Sara Cole
- Geisinger Health, Danville, Pennsylvania
| | - Amir Azadi
- Barrow Neurological Institute Neuro-Oncology Department, Phoenix, Arizona
| | - Marvin Sanchez
- Barrow Neurological Institute Neuro-Oncology Department, Phoenix, Arizona
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Will EJ. A short cultural history of the UK Renal Registry 1995-2020. BMC Nephrol 2020; 21:338. [PMID: 32787793 PMCID: PMC7425145 DOI: 10.1186/s12882-020-01997-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 07/30/2020] [Indexed: 11/25/2022] Open
Abstract
The Renal Association UK Renal Registry (UKRR), established in 1995, has reflected the development of Nephrology within the NHS over 25 years. It has been gradually enlarged to provide a formal agency for a range of consensus initiatives. It remains the source of the national epidemiology of renal replacement, feeding NHS infrastructures and Health Services Research. An extension into acute and chronic kidney disorders is in hand. As a template for medical audit it has contributed to a quality improvement ethos derived from several methodologies. It now offers a multifaceted virtual platform for special interest groups and patient-centricity. Its transformation demonstrates one of the compromises that have permitted specialty development within the inconstant envelope of the NHS. If not always a bellwether, the clarity, form and scale of kidney disease provision still qualifies the UKRR as a demonstrator of healthcare possibilities to Medicine, Clinical Informatics and the NHS.
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