scholarly journals Commentary: Metaknowledge is power: envisioning models to address unmet mental health needs: reflections on Kazdin (2019)

2019 ◽  
Vol 60 (4) ◽  
pp. 473-476 ◽  
Author(s):  
Bruce F. Chorpita
Keyword(s):  
Mental Health ◽  
Health Needs ◽  
Mental Health Needs ◽  
Unmet Mental Health

Psychiatric Morbidity among Incarcerated Individuals in an Underserved Region of Nigeria: Revisiting the Unmet Mental Health Needs in Correction Services

2021 ◽  
Vol 32 (1) ◽  
pp. 321-337
Author(s):  
Ayodeji A. Bioku ◽  
Yuri A. Alatishe ◽  
Jesugbemi O. Adeniran ◽  
Tinuke O. Olagunju ◽  
Nikhita Singhal ◽  
...  
Keyword(s):  
Mental Health ◽  
Psychiatric Morbidity ◽  
Health Needs ◽  
Mental Health Needs ◽  
Unmet Mental Health

Effects of Suicidal Ideation on Unmet Mental Health Needs Among Young Adults in Canada

2018 ◽  
Vol 28 (2) ◽  
pp. 436-446
Author(s):  
Philip Baiden ◽  
Kofi Antwi-Boasiako ◽  
Wendy den Dunnen
Keyword(s):  
Mental Health ◽  
Young Adults ◽  
Suicidal Ideation ◽  
Health Needs ◽  
Mental Health Needs ◽  
Unmet Mental Health

Unmet mental health needs in pediatric epilepsy: Insights from providers

2007 ◽  
Vol 11 (3) ◽  
pp. 401-408 ◽  
Author(s):  
Kimberly Smith ◽  
Prabha Siddarth ◽  
Bonnie Zima ◽  
Raman Sankar ◽  
Wendy Mitchell ◽  
...  
Keyword(s):  
Mental Health ◽  
Health Needs ◽  
Pediatric Epilepsy ◽  
Mental Health Needs ◽  
Unmet Mental Health

scholarly journals Potential predictors of unmet health needs among the elderly: a population-based study in Serbia

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
M Šantrić Milićević ◽  
M Kostadinović ◽  
D Nikolić ◽  
J Todorovic ◽  
Z Terzic-Supic
Keyword(s):  
Mental Health ◽  
Waiting Times ◽  
Wealth Index ◽  
The Elderly ◽  
Health Needs ◽  
Daily Activities ◽  
Personal Care ◽  
Mental Health Needs ◽  
Unmet Health Needs ◽  
Unmet Mental Health

Abstract Background This study assessed the prevalence of unmet health needs of the elderly and the associated factors regarding socioeconomic, health and functional status. Methods A secondary analysis of the 2013 National Health Survey data was conducted on a representative sample of 3540 persons aged sixty-five and older (the lowest response rate was 99.7%). Participants characteristics such as socioeconomic status, health self-perception, diagnosed chronic disease, physical functional limitations, performing essential daily activities in the home and daily personal care were explored with logistic regression analysis (Odds Ratio - OR and 95% Confidence Interval) in relation to five aspects of unmet health needs. Results 15.8% participants had unmet health needs due to the long waiting times, 16.1%, had unmet needs for medical care, 17.7% for dental care, 15.2% for drugs prescription and 96.9% participants for mental health care. Common predictors exist for medical, dental drug prescription and due to long waiting times unmet needs including older age years, middle education, rural residence, lower wealth index, single persons, with average or bad self-perceived health, chronic disease and difficult daily performance of personal care and of home activities. Unmet mental health needs by 61% less likely had participants with average wealth index, while a greater likelihood had participants with average and bad self-perceived health by 3.7 times and 8.4 times (p = 0.035, p = 0.001) respectively, by 6.2 times those with difficulties (p < 0.001) and by 5.9 times unable (p = 0.045) to perform daily activities of personal care and by 1.7 times those with difficulties (p = 0.037) to perform home activities. Conclusions Unmet health needs reported less than 20% of the elderly but almost all have unmet mental health needs. Unmet health needs are associated with negative health outcomes, age, low education level, single persons, rural settings, poorer households, and limited daily activities. Key messages Unmet mental health needs of the elderly are an extremely important problem for the health system and healthy ageing in Serbia. A strong association of unmet health needs of old, low educated elderly without partners, from rural settings and poor households with health and functional outcomes, requires responsive policies.

Exploring Cancer Screening in the Context of Unmet Mental Health Needs: A Participatory Pilot Study

2013 ◽  
Vol 7 (2) ◽  
pp. 111-113 ◽  
Author(s):  
Abigail Williams ◽  
Jennifer Erb-Downward ◽  
Emilie Bruzelius ◽  
Ellen O'Hara-Cicero ◽  
Alison Maling ◽  
...  
Keyword(s):  
Mental Health ◽  
Cancer Screening ◽  
Pilot Study ◽  
Health Needs ◽  
Mental Health Needs ◽  
Unmet Mental Health

scholarly journals Unmet mental health needs in the general population: perspectives of Belgian health and social care professionals

2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Eva Rens ◽  
Geert Dom ◽  
Roy Remmen ◽  
Joris Michielsen ◽  
Kris Van den Broeck
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Health Care ◽  
General Population ◽  
Mental Health Care ◽  
Unmet Needs ◽  
Health Needs ◽  
Mental Health Needs ◽  
Epidemiological Research ◽  
Unmet Mental Health

Abstract Background An unmet mental health need exists when someone has a mental health problem but doesn’t receive formal care, or when the care received is insufficient or inadequate. Epidemiological research has identified both structural and attitudinal barriers to care which lead to unmet mental health needs, but reviewed literature has shown gaps in qualitative research on unmet mental health needs. This study aimed to explore unmet mental health needs in the general population from the perspective of professionals working with vulnerable groups. Methods Four focus group discussions and two interviews with 34 participants were conducted from October 2019 to January 2020. Participants’ professional backgrounds encompassed social work, mental health care and primary care in one rural and one urban primary care zone in Antwerp, Belgium. A topic guide was used to prompt discussions about which groups have high unmet mental health needs and why. Transcripts were coded using thematic analysis. Results Five themes emerged, which are subdivided in several subthemes: (1) socio-demographic determinants and disorder characteristics associated with unmet mental health needs; (2) demand-side barriers; (3) supply-side barriers; (4) consequences of unmet mental health needs; and (5) suggested improvements for meeting unmet mental health needs. Conclusions Findings of epidemiological research were largely corroborated. Some additional groups with high unmet needs were identified. Professionals argued that they are often confronted with cases which are too complex for regular psychiatric care and highlighted the problem of care avoidance. Important system-level factors include waiting times of subsidized services and cost of non-subsidized services. Feelings of burden and powerlessness are common among professionals who are often confronted with unmet needs. Professionals discussed future directions for an equitable mental health care provision, which should be accessible and targeted at those in the greatest need. Further research is needed to include the patients’ perspective of unmet mental health needs.

scholarly journals A Smartphone Intervention for People With Serious Mental Illness: Fully Remote Randomized Controlled Trial of CORE (Preprint)

2021 ◽  
Author(s):  
Dror Ben-Zeev ◽  
Ayesha Chander ◽  
Justin Tauscher ◽  
Benjamin Buck ◽  
Subigya Nepal ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Controlled Trial ◽  
Self Esteem ◽  
Health Needs ◽  
Active Group ◽  
Mental Health Needs ◽  
Smartphone Intervention ◽  
Unmet Mental Health ◽  
The Web

BACKGROUND People with serious mental illness (SMI) have significant unmet mental health needs. Development and testing of digital interventions that can alleviate the suffering of people with SMI is a public health priority. OBJECTIVE The aim of this study is to conduct a fully remote randomized waitlist-controlled trial of CORE, a smartphone intervention that comprises daily exercises designed to promote reassessment of dysfunctional beliefs in multiple domains. METHODS Individuals were recruited via the web using Google and Facebook advertisements. Enrolled participants were randomized into either active intervention or waitlist control groups. Participants completed the Beck Depression Inventory-Second Edition (BDI-II), Generalized Anxiety Disorder-7 (GAD-7), Hamilton Program for Schizophrenia Voices, Green Paranoid Thought Scale, Recovery Assessment Scale (RAS), Rosenberg Self-Esteem Scale (RSES), Friendship Scale, and Sheehan Disability Scale (SDS) at baseline (T1), 30-day (T2), and 60-day (T3) assessment points. Participants in the active group used CORE from T1 to T2, and participants in the waitlist group used CORE from T2 to T3. Both groups completed usability and accessibility measures after they concluded their intervention periods. RESULTS Overall, 315 individuals from 45 states participated in this study. The sample comprised individuals with self-reported bipolar disorder (111/315, 35.2%), major depressive disorder (136/315, 43.2%), and schizophrenia or schizoaffective disorder (68/315, 21.6%) who displayed moderate to severe symptoms and disability levels at baseline. Participants rated CORE as highly usable and acceptable. Intent-to-treat analyses showed significant treatment×time interactions for the BDI-II (<i>F</i><sub>1,313</sub>=13.38; <i>P&lt;</i>.001), GAD-7 (<i>F</i><sub>1,313</sub>=5.87; <i>P</i>=.01), RAS (<i>F</i><sub>1,313</sub>=23.42; <i>P&lt;</i>.001), RSES (<i>F</i><sub>1,313</sub>=19.28; <i>P&lt;</i>.001), and SDS (<i>F</i><sub>1,313</sub>=10.73; <i>P</i>=.001). Large effects were observed for the BDI-II (<i>d=</i>0.58), RAS (<i>d=</i>0.61), and RSES (<i>d=</i>0.64); a moderate effect size was observed for the SDS (<i>d=</i>0.44), and a small effect size was observed for the GAD-7 (<i>d=</i>0.20). Similar changes in outcome measures were later observed in the waitlist control group participants following crossover after they received CORE (T2 to T3). Approximately 41.5% (64/154) of participants in the active group and 60.2% (97/161) of participants in the waitlist group were retained at T2, and 33.1% (51/154) of participants in the active group and 40.3% (65/161) of participants in the waitlist group were retained at T3. CONCLUSIONS We successfully recruited, screened, randomized, treated, and assessed a geographically dispersed sample of participants with SMI entirely via the web, demonstrating that fully remote clinical trials are feasible in this population; however, study retention remains challenging. CORE showed promise as a usable, acceptable, and effective tool for reducing the severity of psychiatric symptoms and disability while improving recovery and self-esteem. Rapid adoption and real-world dissemination of evidence-based mobile health interventions such as CORE are needed if we are to shorten the science-to-service gap and address the significant unmet mental health needs of people with SMI during the COVID-19 pandemic and beyond. CLINICALTRIAL ClinicalTrials.gov NCT04068467; https://clinicaltrials.gov/ct2/show/NCT04068467

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