scholarly journals Poverty, depression, and anxiety: Causal evidence and mechanisms

Science ◽  
2020 ◽  
Vol 370 (6522) ◽  
pp. eaay0214
Author(s):  
Matthew Ridley ◽  
Gautam Rao ◽  
Frank Schilbach ◽  
Vikram Patel
Keyword(s):  
Mental Illness ◽  
Cash Transfers ◽  
Mental Illnesses ◽  
Causal Effects ◽  
Psychological Interventions ◽  
Depression And Anxiety ◽  
Economic Shocks ◽  
Crucial Step ◽  
Underlying Mechanisms ◽  
Antipoverty Programs

Why are people who live in poverty disproportionately affected by mental illness? We review the interdisciplinary evidence of the bidirectional causal relationship between poverty and common mental illnesses—depression and anxiety—and the underlying mechanisms. Research shows that mental illness reduces employment and therefore income, and that psychological interventions generate economic gains. Similarly, negative economic shocks cause mental illness, and antipoverty programs such as cash transfers improve mental health. A crucial step toward the design of effective policies is to better understand the mechanisms underlying these causal effects.

An Empirical Investigation of Mental Illness, Impostor Syndrome, and Social Support in Management Doctoral Programs

2020 ◽  
pp. 105256292095319
Author(s):  
Adam Pervez ◽  
Lisa L. Brady ◽  
Ken Mullane ◽  
Kevin D. Lo ◽  
Andrew A. Bennett ◽  
...  
Keyword(s):  
Social Support ◽  
Mental Illness ◽  
Doctoral Students ◽  
Doctoral Programs ◽  
Mental Illnesses ◽  
Future Research ◽  
Depression And Anxiety ◽  
Structured Interviews ◽  
Symptoms Of Depression ◽  
Impostor Syndrome

Scholars in multiple cross-disciplinary studies have found rates of mental illness among graduate students exceed the reported averages. Yet mental illness among management doctoral students remains largely unexplored. In this study, we surveyed 113 management doctoral students to ascertain the prevalence of symptoms for two common mental illnesses, depression and anxiety, as well as experiences of impostor syndrome and perceived sources of social support. Empirical findings from the first phase of our research suggest that management doctoral students are at greater risk than the general population of experiencing symptoms of depression, anxiety, and feelings of being an impostor. However, social support from a supervisor and from friends was negatively related to symptoms of depression and anxiety, indicating that these sources can be helpful. In phase two of our research, a thematic analysis of data from structured interviews with nine management doctoral students revealed themes linking impostor syndrome with social support, highlighting that the type of social support may be as beneficial as the source of social support. Recommendations for future research, as well as for students, supervisors, and administrators, are provided.

scholarly journals Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement

10.2196/11334 ◽  
2019 ◽  
Vol 6 (1) ◽  
pp. e11334 ◽  
Author(s):  
Jessica Lipschitz ◽  
Christopher J Miller ◽  
Timothy P Hogan ◽  
Katherine E Burdick ◽  
Rachel Lippin-Foster ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mobile Apps ◽  
Mental Illnesses ◽  
Survey Study ◽  
Mental Health Provider ◽  
Depression And Anxiety ◽  
Health Administration ◽  
Cross Sectional Survey ◽  
Cross Sectional

Background Emerging research suggests that mobile apps can be used to effectively treat common mental illnesses like depression and anxiety. Despite promising efficacy results and ease of access to these interventions, adoption of mobile health (mHealth; mobile device–delivered) interventions for mental illness has been limited. More insight into patients’ perspectives on mHealth interventions is required to create effective implementation strategies and to adapt existing interventions to facilitate higher rates of adoption. Objective The aim of this study was to examine, from the patient perspective, current use and factors that may impact the use of mHealth interventions for mental illness. Methods This was a cross-sectional survey study of veterans who had attended an appointment at a single Veterans Health Administration facility in early 2016 that was associated with one of the following mental health concerns: unipolar depression, any anxiety disorder, or posttraumatic stress disorder. We used the Veteran Affairs Corporate Data Warehouse to create subsets of eligible participants demographically stratified by gender (male or female) and minority status (white or nonwhite). From each subset, 100 participants were selected at random and mailed a paper survey with items addressing the demographics, overall health, mental health, technology ownership or use, interest in mobile app interventions for mental illness, reasons for use or nonuse, and interest in specific features of mobile apps for mental illness. Results Of the 400 potential participants, 149 (37.3%, 149/400) completed and returned a survey. Most participants (79.9%, 119/149) reported that they owned a smart device and that they use apps in general (71.1%, 106/149). Most participants (73.1%, 87/149) reported interest in using an app for mental illness, but only 10.7% (16/149) had done so. Paired samples t tests indicated that ratings of interest in using an app recommended by a clinician were significantly greater than general interest ratings and even greater when the recommending clinician was a specialty mental health provider. The most frequent concerns related to using an app for mental illness were lacking proof of efficacy (71.8%, 107/149), concerns about data privacy (59.1%, 88/149), and not knowing where to find such an app (51.0%, 76/149). Participants expressed interest in a number of app features with particularly high-interest ratings for context-sensitive apps (85.2%, 127/149), and apps focused on the following areas: increasing exercise (75.8%, 113/149), improving sleep (73.2%, 109/149), changing negative thinking (70.5%, 105/149), and increasing involvement in activities (67.1%, 100/149). Conclusions Most respondents had access to devices to use mobile apps for mental illness, already used apps for other purposes, and were interested in mobile apps for mental illness. Key factors that may improve adoption include provider endorsement, greater publicity of efficacious apps, and clear messaging about efficacy and privacy of information. Finally, multifaceted apps that address a range of concerns, from sleep to negative thought patterns, may be best received.

The Economics of Depression in Primary Care: Department of Health Initiatives

1995 ◽  
Vol 166 (S27) ◽  
pp. 60-62 ◽  
Author(s):  
Keith Lloyd ◽  
Rachel Jenkins
Keyword(s):  
Primary Care ◽  
Health Care ◽  
Mental Illness ◽  
Secondary Care ◽  
Mental Illnesses ◽  
Depression And Anxiety ◽  
Pharmacological Interventions ◽  
Department Of Health ◽  
Need To Evaluate ◽  
Health Initiatives

Background. Most mental illness is treated in primary and not secondary care settings, with depression and anxiety the commonest conditions encountered.Method. The paper describes on-going Department of Health initiatives to optimise the primary care of common mental illnesses such as depression.Discussion. Primary care attenders with depression are often higher consumers of general health care than non-depressed attenders. Further data will become available soon from these ongoing studies to inform the debate on the optimal use of available resources in primary care. There is a particular need to evaluate non-pharmacological interventions in primary care.

scholarly journals Adoption of Mobile Apps for Depression and Anxiety: Cross-Sectional Survey Study on Patient Interest and Barriers to Engagement (Preprint)

2018 ◽  
Author(s):  
Jessica Lipschitz ◽  
Christopher J Miller ◽  
Timothy P Hogan ◽  
Katherine E Burdick ◽  
Rachel Lippin-Foster ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Mobile Apps ◽  
Mental Illnesses ◽  
Survey Study ◽  
Mental Health Provider ◽  
Depression And Anxiety ◽  
Health Administration ◽  
Cross Sectional Survey ◽  
Cross Sectional

BACKGROUND Emerging research suggests that mobile apps can be used to effectively treat common mental illnesses like depression and anxiety. Despite promising efficacy results and ease of access to these interventions, adoption of mobile health (mHealth; mobile device–delivered) interventions for mental illness has been limited. More insight into patients’ perspectives on mHealth interventions is required to create effective implementation strategies and to adapt existing interventions to facilitate higher rates of adoption. OBJECTIVE The aim of this study was to examine, from the patient perspective, current use and factors that may impact the use of mHealth interventions for mental illness. METHODS This was a cross-sectional survey study of veterans who had attended an appointment at a single Veterans Health Administration facility in early 2016 that was associated with one of the following mental health concerns: unipolar depression, any anxiety disorder, or posttraumatic stress disorder. We used the Veteran Affairs Corporate Data Warehouse to create subsets of eligible participants demographically stratified by gender (male or female) and minority status (white or nonwhite). From each subset, 100 participants were selected at random and mailed a paper survey with items addressing the demographics, overall health, mental health, technology ownership or use, interest in mobile app interventions for mental illness, reasons for use or nonuse, and interest in specific features of mobile apps for mental illness. RESULTS Of the 400 potential participants, 149 (37.3%, 149/400) completed and returned a survey. Most participants (79.9%, 119/149) reported that they owned a smart device and that they use apps in general (71.1%, 106/149). Most participants (73.1%, 87/149) reported interest in using an app for mental illness, but only 10.7% (16/149) had done so. Paired samples t tests indicated that ratings of interest in using an app recommended by a clinician were significantly greater than general interest ratings and even greater when the recommending clinician was a specialty mental health provider. The most frequent concerns related to using an app for mental illness were lacking proof of efficacy (71.8%, 107/149), concerns about data privacy (59.1%, 88/149), and not knowing where to find such an app (51.0%, 76/149). Participants expressed interest in a number of app features with particularly high-interest ratings for context-sensitive apps (85.2%, 127/149), and apps focused on the following areas: increasing exercise (75.8%, 113/149), improving sleep (73.2%, 109/149), changing negative thinking (70.5%, 105/149), and increasing involvement in activities (67.1%, 100/149). CONCLUSIONS Most respondents had access to devices to use mobile apps for mental illness, already used apps for other purposes, and were interested in mobile apps for mental illness. Key factors that may improve adoption include provider endorsement, greater publicity of efficacious apps, and clear messaging about efficacy and privacy of information. Finally, multifaceted apps that address a range of concerns, from sleep to negative thought patterns, may be best received.

Prescriptive Power: Biologism, Biopsychiatry and Drug-centred Psychopharmacology

Somatechnics ◽  
2019 ◽  
Vol 9 (2-3) ◽  
pp. 291-309
Author(s):  
Francis Russell
Keyword(s):  
Mental Health ◽  
Mental Illness ◽  
Social Justice ◽  
Cultural Theory ◽  
Human Experience ◽  
Mental Illnesses ◽  
False Consciousness ◽  
The Subject ◽  
Biological Ontology ◽  
Health Discourse

This paper looks to make a contribution to the critical project of psychiatrist Joanna Moncrieff, by elucidating her account of ‘drug-centred’ psychiatry, and its relation to critical and cultural theory. Moncrieff's ‘drug-centred’ approach to psychiatry challenges the dominant view of mental illness, and psychopharmacology, as necessitating a strictly biological ontology. Against the mainstream view that mental illnesses have biological causes, and that medications like ‘anti-depressants’ target specific biological abnormalities, Moncrieff looks to connect pharmacotherapy for mental illness to human experience, and to issues of social justice and emancipation. However, Moncrieff's project is complicated by her framing of psychopharmacological politics in classical Marxist notions of ideology and false consciousness. Accordingly, she articulates a political project that would open up psychiatry to the subjugated knowledge of mental health sufferers, whilst also characterising those sufferers as beholden to ideology, and as being effectively without knowledge. Accordingly, in order to contribute to Moncrieff's project, and to help introduce her work to a broader humanities readership, this paper elucidates her account of ‘drug-centred psychiatry’, whilst also connecting her critique of biopsychiatry to notions of biologism, biopolitics, and bio-citizenship. This is done in order to re-describe the subject of mental health discourse, so as to better reveal their capacities and agency. As a result, this paper contends that, once reframed, Moncrieff's work helps us to see value in attending to human experience when considering pharmacotherapy for mental illness.

Effective e-health design for those with, and without, mental health disorders: shallow navigation, concentrated contents, modest number of links, one screen area for links. (Preprint)

2018 ◽  
Author(s):  
Armando Rotondi ◽  
Jonathan Grady ◽  
Barbara H. Hanusa ◽  
Michael R. Spring ◽  
Kaleab Z. Abebe ◽  
...  
Keyword(s):  
Mental Illness ◽  
Severe Mental Illness ◽  
Success Rate ◽  
Fractional Factorial ◽  
Mental Illnesses ◽  
Schizophrenia Spectrum Disorders ◽  
Design Elements ◽  
Website Usability ◽  
Schizophrenia Spectrum ◽  
Health Applications

BACKGROUND E-health applications are an avenue to improve service responsiveness, convenience, and appeal, and tailor treatments to improve relevance, engagement, and use. It is critical to user engagement that the designs of e-health applications are intuitive to navigate. Limited research exists on designs that work for those with a severe mental illness, many of whom infrequently seek treatment, and tend to discontinuation medications and psychosocial treatments. OBJECTIVE The purpose of this study was to evaluate the influence of 12 design elements (e.g., website depth, reading level, use of navigational lists) on the usability of e-health application websites for those with, and without, mental health disorders (including severe mental illness). METHODS A 212-4 fractional factorial experimental design was used to specify the designs of 256 e-health websites, which systematically varied the 12 design elements. The final destination contents of all websites were identical, only the navigational pages varied. Three subgroups of participants comprising 226 individuals, were used to test these websites (those with schizophrenia-spectrum disorders, other mental illnesses, and no mental illness). Unique to this study was that the 12 design elements were manipulated systematically to allow assessment of combinations of design elements rather than only one element at a time. RESULTS The best and worst designs were identified for each of the three subgroups, and the sample overall. The depth of a website’s navigation, that is, the number of screens/pages users needed to navigate to find desired content, had the strongest influence on usability (ability to find information). The worst performing design for those with schizophrenia-spectrum disorders had an 8.6% success rate (ability to find information), the best had a 53.2% success rate. The navigational design made a 45% difference in usability. For the subgroup with other mental illnesses the design made a 52% difference, and for those with no mental illness a 50% difference in success rate. The websites with the highest usability all had several key similarities, as did the websites with the poorest usability. A unique finding is that the influences on usability of some design elements are variable. For these design elements, whether they had a positive or negative effect, and the size of its effect, could be influenced by the rest of the design environment, that is, the other elements in the design. This was not the case for navigational depth, a shallower hierarchy is better than a deeper hierarchy. CONCLUSIONS It is possible to identify evidence-based strategies for designing e-health applications that result in a high level of usability. Even for those with schizophrenia, or other severe mental illnesses, there are designs that are highly effective. The best designs have key similarities, but can also vary in some respects. Key words: schizophrenia, severe mental illness, e-health, design, website, usability, website design, website usability, fractional factorial design.

scholarly journals Use of a Consultation Service Following Pharmacogenomic Testing in Psychiatry

CNS Spectrums ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 179-180
Author(s):  
Daniel Dowd ◽  
David S. Krause
Keyword(s):  
Mental Illness ◽  
Drug Interactions ◽  
Metabolic Pathways ◽  
Patient Characteristics ◽  
Healthcare Resource Utilization ◽  
Machine Learning Algorithms ◽  
Mental Illnesses ◽  
Variable Response ◽  
Drug Induced ◽  
Commercial Laboratory

AbstractBackgroundThere is a plethora of drugs available to psychiatrists for treatment of mental illness, which can vary in efficacy, tolerability, metabolic pathways and drug-drug interactions. Psychotropics are the second most commonly listed therapeutic class mentioned in the FDA’s Table of Pharmacogenomic Biomarkers in Drug Labeling. Pharmacogenomic (PGx) assays are increasingly used in psychiatry to help select safe and appropriate medication for a variety of mental illnesses. Our commercial laboratory offers PGx expert consultations by PharmDs and PhDs to clinician-users. Our database contains valuable information regarding the treatment of a diverse and challenging population.MethodsGenomind offers a PGx assay currently measuring variants of 24 genes relevant for selection of drugs with a mental illness indication. Since 2012 we have analyzed > 250,000 DNA samples. Between 10/18 - 8/20 6,401 reports received a consult. The data contained herein are derived from those consults. Consultants record information on prior meds, reason for failure or intolerability, potential risk-associated or useful drugs based on the genetic variants. Consultants only recommend specific drugs and doses consistent with a published PGx guideline.ResultsThe 5 most commonly discussed genes were SLC6A4, MTHFR, CACNA1C, COMT and BDNF. The 3 most commonly discussed drugs were fluoxetine, lithium and duloxetine. The most common reasons for drug failure were inefficacy and drug induced “agitation, irritability and/or anxiety”. SSRIs were the most common class of discontinued drug; sertraline, escitalopram and fluoxetine were the three most commonly reported discontinuations and were also the 3 most likely to be associated with “no improvement”. Aripiprazole was the most commonly reported discontinued atypical antipsychotic. The providers rated 94% of consultations as extremely or very helpful at the time of consult. An independent validation survey of 128 providers confirmed these ratings, with 96% reporting a rating of “very helpful” or “extremely helpful”. In addition, 94% reported that these consults were superior to PGx consults provided through other laboratories. Patient characteristics captured during consults via a Clinical Global Impressions-Severity (CGI-S) scale revealed that the majority of patients were moderately (54%) or markedly ill (23%). The most frequent symptoms reported were depression, anxiety, insomnia and inattentiveness.DiscussionThe large variety of psychotropic drugs available to providers, and their highly variable response rates, tolerability, capacity for drug-drug interactions and metabolic pathways present a challenge for even expert psychopharmacologists. Consultation with experts in PGx provides additional useful information that may improve outcomes and decrease healthcare resource utilization. This database may provide future opportunities for machine learning algorithms to further inform implications of included gene variants.FundingGenomind, Inc.

scholarly journals Priority vaccination for mental illness, developmental or intellectual disability

2021 ◽  
pp. medethics-2021-107247
Author(s):  
Nina Shevzov-Zebrun ◽  
Arthur L Caplan
Keyword(s):  
Mental Illness ◽  
Living Arrangement ◽  
State Level ◽  
Elevated Risk ◽  
Mental Illnesses ◽  
Healthcare Personnel ◽  
Diverse Populations ◽  
Federal Level ◽  
Control And Prevention ◽  
Prevention Guidelines

Coronavirus vaccines have made their debut. Now, allocation practices have stepped into the spotlight. Following Centers for Disease Control and Prevention guidelines, states and healthcare institutions initially prioritised healthcare personnel and elderly residents of congregant facilities; other groups at elevated risk for severe complications are now becoming eligible through locally administered programmes. The question remains, however: who else should be prioritised for immunisation? Here, we call attention to individuals institutionalised with severe mental illnesses and/or developmental or intellectual disabilities—a group highly susceptible to the damages of COVID-19, recent research shows, and critical to consider for priority vaccination. The language describing both federal-level and state-level intentions for this population remains largely vague, despite the population’s diversity across age, diagnosis, functional status and living arrangement. Such absence of specificity, in turn, leaves room for confusion and even neglect of various subgroups. We review data stressing this group’s vulnerability, as well as select state plans for priority vaccination, highlighting the importance of clarity when describing intentions to vaccinate, or even generally care for, diverse populations composed of distinct subgroups in need.

scholarly journals Prevalence of Anxiety and Depression in Patients with Inflammatory Bowel Disease

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Glynis Byrne ◽  
Greg Rosenfeld ◽  
Yvette Leung ◽  
Hong Qian ◽  
Julia Raudzus ◽  
...  
Keyword(s):  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Multivariable Analysis ◽  
Significant Proportion ◽  
Mental Illnesses ◽  
Self Report ◽  
Anxiety And Depression ◽  
Depression And Anxiety ◽  
Psychiatric Interview ◽  
Inflammatory Bowel

Background. Inflammatory bowel disease (IBD) patients are not routinely screened for depression and anxiety despite knowledge of an increased prevalence in people with chronic disease and negative effects on quality of life. Methods. Prevalence of anxiety and depression was assessed in IBD outpatients through retrospective chart review. The presence of anxiety and/or depression was determined using the Patient Health Questionnaire-9 and Generalized Anxiety Disorder-7 self-report questionnaires or by diagnosis through psychiatric interview. Patient demographics, disease characteristics, and medication information were also collected. Multivariable analysis was used to determine associations between patient factors and depression and anxiety. Results. 327 patient charts were reviewed. Rates of depression and anxiety were found to be 25.8% and 21.2%, with 30.3% of patients suffering from depression and/or anxiety. Disease activity was found to be significantly associated with depression and/or anxiety (p=0.01). Females were more likely to have anxiety (p=0.01). Conclusion. A significant proportion of IBD patients suffer from depression and/or anxiety. The rates of these mental illnesses would justify screening and referral for psychiatric treatment in clinics treating this population. Patients with active disease are particularly at risk for anxiety and depression.

Multidisciplinary approach about contraception in a day hospital of mental health

2017 ◽  
Vol 41 (S1) ◽  
pp. s848-s848
Author(s):  
C.M. Calahorro ◽  
M. Guerrero Jiménez ◽  
B.M. Girela Serrano
Keyword(s):  
Mental Illness ◽  
Reproductive Health ◽  
Mental Illnesses ◽  
Healthy Population ◽  
Day Hospital ◽  
Attitudes And Practices ◽  
Hospital Patients ◽  
Unwanted Pregnancies ◽  
Competing Interest ◽  
Healthy Sexuality

BackgroundWomen with mental illness are a disadvantaged group both in terms of their gender and because of their mental disorders, and they experience serious problems related to reproductive health.The high rates of unplanned and unwanted pregnancies among women with schizophrenia underscore the importance of understanding their attitudes and practices related to family planning. Different studies reveal that even though many sexually active women with serious mental illnesses do not want to become pregnant, they do not use birth control.ObjectivesRelease last data about contraception methods among patients with severe mental illness after doing a bibliographical review. Also reflect present setup in Motril day hospital women patients and their relationship with sexuality and contraception. At the same time we intend to clarify and unify the proceedings on ethical problems respecting subject's autonomy, beneficence, qualification and minors’ protection.MethodsData were collected through face-to-face interviews and a questionnaire based on the literature and prepared by the researchers which was designed to determine the kinds of reproductive health issues the patients were experiencing.ResultsIt was found that female patients with psychiatric disorders had more negative attributes with regard to contraception approach and sexuality compared with a corresponding healthy population.ConclusionsWe reached an agreement about future contraception approaches in Motril day hospital users as part of the global treatment offered in our section.MotrilHospital gynaecology service has facilitated the proceedings for contraceptive subcutaneous implants insertion in those indicated women.Day hospital patients were instructed individually and through group work about healthy sexuality.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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