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Journal articles on the topic 'Mental health diagnosis'

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Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Lavoie-Tremblay, Melanie, Jean-Pierre Bonin, Alain Lesage, Lambert Farand, Geneviève L. Lavigne, and Julie Trudel. "Implementation of Diagnosis-Related Mental Health Programs." Health Care Manager 30, no. 1 (January 2011): 4–14. http://dx.doi.org/10.1097/hcm.0b013e3182078a95.

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2

Yang, Kun, Guang Ming Yang, Yong Huang, and Pan De Jing. "Hydraulic Mental Structure Health Diagnosis Weighting Method." Applied Mechanics and Materials 494-495 (February 2014): 925–31. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.925.

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By means of inductive analysis the health diagnosis weighting methods in engineering, this paper discusses the basic principle, advantages, disadvantages and applicable scope of weighting methods. On the basis, combining with multi-level, multi-standard and multi-factor characteristic of hydraulic metal structures health diagnosis, the methods of AHP, information gain, information diffusion and improved entropy are studied, which are applicable to hydraulic metal structures health diagnosis weighting. Based on fuzzy theory, the fuzzy multi-level comprehensive weighting method is put forward and studied, which combined both subjective and objective method advantages and its complementary. In addition, it provides the necessary theory foundation and new ideas for the development of hydraulic metal structure health diagnosis technology.

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3

Stein, Steven J. "Computer-assisted Diagnosis in Children's Mental Health." Applied Psychology 36, no. 3-4 (July 1987): 343–55. http://dx.doi.org/10.1111/j.1464-0597.1987.tb01196.x.

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4

Stone, Louise, Elizabeth Waldron, and Heather Nowak. "Making a good mental health diagnosis: Science, art and ethics." Australian Journal of General Practice 49, no. 12 (December 1, 2020): 797–802. http://dx.doi.org/10.31128/ajgp-08-20-5606.

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Background There are limitations to psychiatric classification, which affects the utility of diagnosis in general practice. Objective The aim of this article is to explore the principles of science, art and ethics to create clinically useful psychiatric diagnoses in general practice. Discussion Psychiatric classification systems provide useful constructs for clinical practice and research. Evidence-based treatments are based on the classification of mental illnesses. However, while classification is necessary, it is not sufficient to provide a full understanding of ‘what is going on’. A good psychiatric diagnosis will also include a formulation, which provides an understanding of the psychosocial factors that provide a context for illness. Experiences such as trauma and marginalisation will change the illness experience but also provide other forms of evidence that shape therapy. Diagnoses also carry ethical implications, including stigma and changes in self‑concept. The science, art and ethics of diagnosis need to be integrated to provide a complete assessment.

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5

Mlambo, Kupukai. "Does mental health matter? Commentary on the provision of mental health services in Mozambique." International Psychiatry 9, no. 2 (May 2012): 36–38. http://dx.doi.org/10.1192/s1749367600003064.

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Despite attempts made in recent years to address the diagnosis and treatment of mental illness in Mozambique, service provision remains deficient. The present paper focuses on the attitudes to mental illness and its diagnosis and treatment in Mozambique. This paper is based on both a thorough literature search and on the results of qualitative interviews carried out with six individuals of Mozambican origin now living in the UK.

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McKinnon, Caroline R., and Jane T. Garvin. "Weight Reduction Goal Achievement Among Veterans With Mental Health Diagnoses." Journal of the American Psychiatric Nurses Association 25, no. 4 (September 21, 2018): 257–65. http://dx.doi.org/10.1177/1078390318800594.

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BACKGROUND: Despite the use of weight management programs among veterans, the impact of mental health diagnoses on weight reduction goal achievement is unknown. AIMS: We aimed to describe the prevalence and association of mental health diagnoses with a 5% weight reduction goal achievement. METHODS: Logistic regression was used to describe the association between mental health diagnoses and weight reduction goal achievement at 6, 12, and 24 months among 402 veterans enrolled in a weight management program. RESULTS: More than 43% of veterans had a mental health diagnoses, with depressive disorders, posttraumatic stress disorder (PTSD), and substance use disorders being the most prevalent. At all three times, simply having a mental health diagnosis was not associated with weight reduction goal achievement. Specific diagnoses were associated with a greater likelihood of achieving weight reduction goals at 12 months (PTSD and Drug Use Disorder) and 24 months (Anxiety Disorder and Other Mental Health Diagnosis). CONCLUSION: The findings suggest that unhealthy weight is quite common for individuals with mental health diagnoses; however, weight reduction goal achievement may be equally likely for those with and without mental health diagnoses. The prevalence of mental health diagnoses among veterans seeking weight reduction suggests that psychiatric nurses should be aware of this common comorbidity.

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Trevithick, Liam, Jon Painter, and Patrick Keown. "Mental health clustering and diagnosis in psychiatric in-patients." BJPsych Bulletin 39, no. 3 (June 2015): 119–23. http://dx.doi.org/10.1192/pb.bp.114.047043.

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Aims and methodThis paper investigates the relationship between cluster (Mental Health Clustering Tool, MHCT) and diagnosis in an in-patient population. We analysed the diagnostic make-up of each cluster and the clinical utility of the diagnostic advice in the Department of Health's Mental Health Clustering Booklet. In-patients discharged from working-age adult and older people's services of a National Health Service trust over 1 year were included. Cluster on admission was compared with primary diagnosis on discharge.ResultsOrganic, schizophreniform, anxiety disorder and personality disorders aligned to one superclass cluster. Alcohol and substance misuse, and mood disorders distributed evenly across psychosis and non-psychosis superclass clusters. Two-thirds of diagnoses fell within the MHCT ‘likely’ group and a tenth into the ‘unlikely’ group.Clinical implicationsCluster and diagnosis are best viewed as complimentary systems to describe an individual's needs. Improvements are suggested to the MHCT diagnostic advice in in-patient settings. Substance misuse and affective disorders have a more complex distribution between superclass clusters than all other broad diagnostic groups.

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8

Boxell, Oliver. "Social context affects mental health stigma." Open Health 1, no. 1 (December 31, 2020): 29–36. http://dx.doi.org/10.1515/openhe-2020-0003.

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AbstractPrior research shows mental health stigma is context-dependent and blocks help-seeking behaviors. Any applied solutions will require basic research to understand these contextual nuances. The present paper presents two timed Likert-type rating studies in which participants scored photographs of individuals with mental health diagnoses and other control condition labels in different social contexts. In the first study (N = 99), participants rated the individuals in a professional context and in a non-professional context. The second study (N = 99) systematically manipulated the attractiveness of the individuals depicted. Professional context moderated mental health stigma, indicating that, relative to control label conditions, participants were less accepting of an individual with a mental health diagnosis label as a medical clinician than as a next-door neighbor. Attractiveness had a uniform effect across all the label conditions, which produced a compounding additive effect in which a mental health diagnosis and low attractiveness negatively impacted the ratings simultaneously. The study used timed implicit judgments to demonstrate empirically how previously unstudied social contexts can affect mental health stigma. Understanding how such contextual effects affect stigma is a prerequisite for the development of interventions to overcome the barriers stigma creates for access to treatment and prevention.

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9

Sellman, J. Douglas, Alexander R. Wootton, David B. Stoner, Daryle E. Deering, and Brian J. Craig. "Increasing Diagnosis of Nicotine Dependence in Adolescent Mental Health Patients." Australian & New Zealand Journal of Psychiatry 33, no. 6 (December 1999): 869–73. http://dx.doi.org/10.1046/j.1440-1614.1999.00619.x.

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Objective: The aim of this study was to investigate the routine recording patterns of patients' smoking by clinical staff of an adolescent mental health service over a 3-year period. Method: A systematic examination of the clinical files of all patients who underwent an initial assessment or reassessment at the Youth Specialty Service (Mental Health; YSS) over a 2-month period (1 April-31 May) was carried out in 1996, 1997 and 1998. A range of data were collected including: demographics; diagnoses; amount of total information recorded and history of nicotine dependence. Results: A stable historical record of cigarette smoking in the region of 30–40% across the 3 years sampled was found, but the rate of formal diagnosis of nicotine dependence rose from 3.6% in 1996 to 26.3% in 1998. This rise was in the context of relative stability over this time period of: size of reports and relevant sections (alcohol and drug history, cigarette smoking history); three other key diagnoses, major depression, conduct disorder and alcohol dependence; and demographic data. The rise in rate of diagnosis proceeded specific discussion within the clinical team about nicotine dependence. Conclusions: Adolescent mental health settings are a key venue to address heavy and potentially chronic cigarette smoking, but nicotine dependence has been traditionally a neglected diagnosis in mental health patients. The rate of diagnosis is likely to rise when specific discussion is undertaken within clinical teams.

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Schwartz, Robert, Jonathan Lent, and Jonathan Geihsler. "Gender and Diagnosis of Mental Disorders: Implications for Mental Health Counseling." Journal of Mental Health Counseling 33, no. 4 (September 29, 2011): 347–58. http://dx.doi.org/10.17744/mehc.33.4.914g2n123u771316.

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The DSM-IV-TR and epidemiological studies have documented disproportionate gender-related prevalence rates for various mental disorders. However, mental health counselors have largely been omitted from the research base. This study investigated whether gender-specific prevalence rates differ in terms of counselor diagnoses of certain mood, psychotic, adjustment, childhood, and substance-related disorders, and whether these diagnoses exhibit the same gender-related differences as those reported in the DSM-IV-TR and by researchers who are not counselors (N =1,583). Chi square analyses revealed that all disorders studied were disproportionately diagnosed at rates consistent with previously published gender-specific statistics. Clinical and research implications are discussed as they relate to mental health counseling.

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Lazare, Kimberly, Sumeet Kalia, Babak Aliarzadeh, Steven Bernard, Rahim Moineddin, David Eisen, Michelle Greiver, et al. "Health system use among patients with mental health conditions in a community based sample in Toronto, Canada: A retrospective cohort study." PLOS ONE 17, no. 5 (May 10, 2022): e0266377. http://dx.doi.org/10.1371/journal.pone.0266377.

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Objective To identify hospital and primary care health service use among people with mental health conditions or addictions in an integrated primary-secondary care database in Toronto, Ontario. Method This was a retrospective cohort study of adults with mental health diagnoses using data from the Health Databank Collaborative (HDC), a primary care-hospital linked database in Toronto. Data were included up to March 31st 2019. Negative binomial and logistic regression were used to evaluate associations between health care utilization and various patient characteristics and mental health diagnoses. Results 28,482 patients age 18 or older were included. The adjusted odds of at least one mental health diagnosis were higher among younger patients (18–30 years vs. 81+years aOR = 1.87; 95% CI:1.68–2.08) and among female patients (aOR = 1.35; 95% CI: 1.27–1.42). Patients with one or more mental health diagnoses had higher adjusted rates of hospital visits compared to those without any mental health diagnosis including addiction (aRR = 1.74, 95% CI: 1.58–1.91) and anxiety (aRR = 1.28, 95% CI: 1.23–1.32). 14.5% of patients with a psychiatric diagnosis were referred to the hospital for specialized psychiatric services, and 38% of patients referred were eventually seen in consultation. The median wait time from the date of referral to the date of consultation was 133 days. Conclusions In this community, individuals with mental health diagnoses accessed primary and hospital-based health care at greater rates than those without mental health diagnoses. Wait times for specialized psychiatric care were long and most patients who were referred did not have a consultation. Information about services for patients with mental health conditions can be used to plan and monitor more integrated care across sectors, and ultimately improve outcomes.

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Regalado, Pilar, and Pablo Gagliesi. "MENTAL HEALTH PROFESSIONALS SURVEY ABOUT BORDERLINE PERSONALITY DISORDER DIAGNOSIS." PSIENCIA Revista Latinoamericana de Ciencia Psicológica 4, no. 2 (November 1, 2012): 66–75. http://dx.doi.org/10.5872/psiencia/4.2.21.

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Bickman, Leonard, Lynne G. Wighton, E. Warren Lambert, Marc S. Karver, and Lindsey Steding. "Problems in Using Diagnosis in Child and Adolescent Mental Health Services Research." Journal of Methods and Measurement in the Social Sciences 3, no. 1 (October 2, 2012): 1. http://dx.doi.org/10.2458/jmm.v3i1.16110.

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This paper presents results from a three-part study on diagnosis of children with affective and behavior disorders. We examined the reliability, discriminant, and predictive validity of common diagnoses used in mental health services research using a research diagnostic interview. Results suggest four problems: a) some diagnoses demonstrate internal consistency only slightly better than symptoms chosen at random; b) diagnosis did not add appreciably to a brief global functioning screen in predicting service use; c) low inter-rater reliability among informants and clinicians for six of the most common diagnoses; and d) clinician diagnoses differed between sites in ways that reflect different reimbursement strategies. The study concludes that clinicians and researchers should not assume diagnosis is a useful measure of child and adolescent problems and outcomes until there is more evidence supporting the validity of diagnosis.DOI:10.2458/azu_jmmss_v3i1_bickman

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Bickman, Leonard, Lynne G. Wighton, E. Warren Lambert, Marc S. Karver, and Lindsey Steding. "Problems in Using Diagnosis in Child and Adolescent Mental Health Services Research." Journal of Methods and Measurement in the Social Sciences 3, no. 1 (October 2, 2012): 1. http://dx.doi.org/10.2458/v3i1.16110.

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This paper presents results from a three-part study on diagnosis of children with affective and behavior disorders. We examined the reliability, discriminant, and predictive validity of common diagnoses used in mental health services research using a research diagnostic interview. Results suggest four problems: a) some diagnoses demonstrate internal consistency only slightly better than symptoms chosen at random; b) diagnosis did not add appreciably to a brief global functioning screen in predicting service use; c) low inter-rater reliability among informants and clinicians for six of the most common diagnoses; and d) clinician diagnoses differed between sites in ways that reflect different reimbursement strategies. The study concludes that clinicians and researchers should not assume diagnosis is a useful measure of child and adolescent problems and outcomes until there is more evidence supporting the validity of diagnosis.DOI:10.2458/azu_jmmss_v3i1_bickman

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Edward, Karen-Leigh, and Ian Munro. "Nursing considerations for dual diagnosis in mental health." International Journal of Nursing Practice 15, no. 2 (April 2009): 74–79. http://dx.doi.org/10.1111/j.1440-172x.2009.01731.x.

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16

Marcos, Luis Rojas, and Rosa M. Gil. "The Diagnosis of Public Mental Health Care Bureaucracies*." British Journal of Psychiatry 154, S4 (May 1989): 96–100. http://dx.doi.org/10.1192/s0007125000295871.

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The proliferation of large-scale organisations is a phenomenon of modern society. As Etzioni (1968) puts it, “We are born in organisations, educated by organisations and most of us spend much of our lives working for organisations”. Most public organisations in modern society are bureaucracies and the field of psychiatry is no exception: a trend toward growing bureaucratisation, of both public and private mental health services organisations, can be observed everywhere. To a large extent, this is because, as standards of care become regulated and quality controls increase, the tasks that mental health professionals and administrators perform become better understood, more predictable, and more programmed. There is still room for creativity and innovation, but only in incremental, well controlled steps.

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17

Ide, C. W. "Managers' perception of mental health diagnosis in doctors." Occupational Medicine 63, no. 6 (August 20, 2013): 454. http://dx.doi.org/10.1093/occmed/kqt090.

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18

Friedman, Matthew J. "PTSD diagnosis and treatment for mental health clinicians." Community Mental Health Journal 32, no. 2 (April 1996): 173–89. http://dx.doi.org/10.1007/bf02249755.

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19

Goldstein, Ralph. "Diagnosis and recovery; twin impostors of mental health?" Psychotherapy Section Review 1, no. 57 (2016): 29–38. http://dx.doi.org/10.53841/bpspsr.2016.1.57.29.

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Since the publication of the American Diagnostic and Statistical Manual of Mental Disorders version 5 in 2013, there has been a wave of critical protest, especially in Britain and especially amongst psychologists. My aim is not to rehearse the mostly sensible criticisms, but to ask what should we be doing about the situation. Should we not be able to find a useful classificatory procedure that helps both professionals and patients to understand both diagnosis and recovery in the same terms? Only when we can do this will the current system be superseded – improve it or live with it. After all, science proceeds by replacing older theories and systems with newer ones that seem to do a better job.The fact is that the current systems do work for some people some of the time; for example, in medico-legal settings and pharmaceutical research settings. Psychiatric medication is effective some of the time, but the way that we approach psychiatric diagnosis and recovery are different in the sense that only rarely are the same formal procedures used at diagnosis and discharge. Two developments will be suggested here. Firstly, that both diagnosis and recovery may be conceived – indeed must be – in the same pragmatic manner by adopting a functional approach both to diagnosis and to recovery. This functional approach has the great benefit of unifying how we might conceive of both common physical problems and mental problems. Secondly, since psychological and psychiatric judgements are inherently vague in a technical sense, we should find a means – namely, fuzzy logic – to work with vagueness in formal terms. We might then be able to adequately fix our classificatory systems along the lines discussed here.

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Grant, Donald C., and Edwin Harari. "Diagnosis and Serious Mental Illness." Australian & New Zealand Journal of Psychiatry 30, no. 4 (August 1996): 445–49. http://dx.doi.org/10.3109/00048679609065015.

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We examine some limitations of the psychiatric diagnosis, particularly in the assessment of the seriousness of a patient';;s mental illness. The bureaucratic or technocratic use of the concept ‘serious mental illness’ is contrasted with the perspective of the clinician who provides ongoing patient care. A decline in the clinical skills of psychiatrists is likely if proposed mental health reforms regulate psychiatric practice according to bureaucratic and technocratic definitions of serious mental illness rather than the realities of the clinical encounter between patient and doctor.

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Russell, Denise. "Psychiatric Diagnosis as a Precursor to Research Diffi culties in Mental Health." Ethical Human Psychology and Psychiatry 9, no. 1 (March 2007): 62–71. http://dx.doi.org/10.1891/152315007780493780.

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The starting point for most mental health research is psychiatric diagnosis. If diagnoses are controversial or unreliable, then the results of the research will be difficult to interpret and its value will be undercut. The most widely used system of psychiatric diagnosis is found in the American Psychiatric Association’s Diagnostic and Statistical Manual of Mental Disorders. This article looks at the conceptual core of diagnosis in the latest manual, examines the definition of mental disorder, and exposes some key underlying conceptual issues especially with regard to the notions of “distress,” “impairment,” and “dysfunction.” The role of subjectivity and values in the application of these concepts is also stressed and discussed in relation to specific mental disorders.

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Campbell, Marjorie S., Kevin O’Gallagher, Derek J. Smolenski, Lindsay Stewart, Jean Otto, Bradley E. Belsher, and Daniel P. Evatt. "Longitudinal Relationship of Combat Exposure With Mental Health Diagnoses in the Military Health System." Military Medicine 186, Supplement_1 (January 1, 2021): 160–66. http://dx.doi.org/10.1093/milmed/usaa301.

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ABSTRACT Introduction Combat deployment is associated with mental and physical health disorders and functional impairment. Mental health (MH) diagnoses such as adjustment and anxiety disorders have received little research attention but may reflect important postdeployment sequelae. The purpose of this study was to investigate the association of combat exposure with the acquisition of a wide range of mental health diagnoses over 2 years. Materials and Methods This retrospective longitudinal study utilized multiple administrative Military Health System datasets compiled for all individuals who entered active duty in the U.S. Army from FY2005 to FY2011. A total eligible cohort of 289,922 Service members was stratified into three mutually exclusive groups according to their deployment status after 2 years in service: Deployed, Combat-Exposed; Deployed, Not-Combat-Exposed; and Not Deployed. Outcomes of interest were new mental health diagnoses grouped into six categories—posttraumatic stress disorder, anxiety, adjustment, mood, substance use disorders, and any MH diagnosis. Survival analyses over 2 years were conducted and adjusted hazard ratios were calculated. Results Combat exposure in the first 2 years of military service was associated with significantly higher rates of a wide range of mental health diagnoses over a two-year follow-up period, compared with deployment with no combat exposure and no deployment. Adjusted cumulative failure proportions demonstrated that approximately a third of the Combat-Exposed group, a quarter of the Not-Combat-Exposed, and a fifth of the Not Deployed groups received a MH diagnosis over 2 years. For all groups, cumulative failure proportions and incidence rates were highest for adjustment disorder and lowest for posttraumatic stress disorder diagnoses. Conclusions Researchers and providers should be alerted to the impact of combat exposure and the wide range of MH conditions and diagnoses that may represent important postdeployment sequelae.

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McLaurin-Jiang, Skyler, Laurie W. Albertini, Gail M. Cohen, Callie L. Brown, and Palmer Edwards. "Novel Mental Health Curriculum in a Pediatric Continuity Clinic Improves Mental Health Screening and Diagnosis." Academic Pediatrics 18, no. 5 (July 2018): e23. http://dx.doi.org/10.1016/j.acap.2018.04.066.

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&NA;. "Mental health resources." Nursing 44, no. 11 (November 2014): 69. http://dx.doi.org/10.1097/01.nurse.0000453711.35576.a4.

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Beard, John R., Uta C. Dietrich, Lyndon O. Brooks, Robert T. Brooks, Kathy Heathcote, and Brian Kelly. "Incidence and Outcomes of Mental Disorders in a Regional Population: The Northern Rivers Mental Health Study." Australian & New Zealand Journal of Psychiatry 40, no. 8 (August 2006): 674–82. http://dx.doi.org/10.1080/j.1440-1614.2006.01867.x.

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Objectives: To estimate the incidence of mental disorders in a cohort of previously symptom-free individuals who are representatives of a regional Australian population. To map changing patterns of diagnosis and comorbidity within the cohort over a 2 year period. Method: Two year follow-up of a community-based cohort drawn from a telephone screening of 9191 randomly selected adults. Subjects were administered a comprehensive face-to-face interview which included the Composite International Diagnostic Interview. A total of 1407 subjects were interviewed at baseline, and 968 subjects were reinterviewed (a 68.8% follow-up rate). Results: There was considerable change in disorder status over the study period, and analysis of the Composite International Diagnostic Interview scoring suggests that these changes reflected real changes in symptomatology. Of subjects interviewed at both baseline and follow-up, 638 were classified as disorder-free at their entry to the study. After 2 years, 98 of these met criteria for a mental disorder during the preceding 12 months. After adjusting for sampling and gender, the 12 month incidence of any mental disorder among subjects who had been disorder-free 2 years previously was 9.95 per hundred person-years at risk. At baseline, a further 330 subjects met ICD-10 criteria for a mental disorder during the previous 12 months. Two years later, 167 of these subjects (50.6%) were disorder-free, and 163 still met the criteria for a mental disorder, although there had often been considerable change in their diagnosis. Subjects with a mental disorder at the commencement of the study were significantly more likely than those without a disorder to have a positive diagnosis 2 years later (p < 0.001). The number of diagnoses at baseline was a strong predictor of the number of diagnoses at follow-up (p < 0.001), and each additional comorbid diagnosis at baseline also increased the probability of a persisting disorder at follow-up (p < 0.001). Conclusions: Over a 2 year period, the majority of subjects with a mental disorder will become disorder-free, while a significant number of previously disorder-free individuals will develop a positive diagnosis. Health services need to be designed to meet this labile demand.

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Cormier, Eileen, Hyejin Park, and Glenna Schluck. "College Students’ eMental Health Literacy and Risk of Diagnosis with Mental Health Disorders." Healthcare 10, no. 12 (November 30, 2022): 2406. http://dx.doi.org/10.3390/healthcare10122406.

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Background: This study investigated college students’ eMental health literacy (eMHL), knowledge of common mental disorders and risk of being diagnosed with a mental health disorder and compared their knowledge of mental disorders and concurrent risk of diagnosis with high and low eMHL; Method: A total of 123 college students completed an online survey through Amazon’s Mechanical Turk (MTurk). Data were analyzed using descriptive statistics and chi-square tests; Results: eMental health literacy scores were higher when students had a history of prior mental health problems, were female, and graduate students. College students with high eMHL were more likely to recognize symptoms, recommend professional help, and be at lower risk for common mental health disorders compared to low eMHL students; Conclusions: eMHL was associated with mental health status and demographic variables. Level of eMHL was associated with knowledge of mental disorders and risk of diagnosis. Implications: The results highlight the need for targeted interventions to enhance eMHL of college students, support mental health resilience and prevent mental health disorders.

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Galvin, Claire, Astrid De Souza, Jim Potts, Penny Sneddon, Shubhayan Sanatani, and Kathryn Armstrong. "91 Mental Health Burden of Adolescents with Dysautonomia." Paediatrics & Child Health 25, Supplement_2 (August 2020): e37-e38. http://dx.doi.org/10.1093/pch/pxaa068.090.

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Abstract Background Dysautonomia of Adolescence (DAOA) results from a dysregulation of the autonomic nervous system during puberty and affects multiple organ systems in the body. Symptoms have a significant impact on quality of life (QoL) with many adolescents reporting a poorer QoL compared to other pediatric chronic illness populations. Furthermore, there is a paucity of research looking at underlying mental health conditions in patients with DAOA that might be contributing to poor QoL. Objectives The aim of this review was to characterize the underlying mental health status of patients with DAOA followed in a tertiary care DAOA Clinic. Design/Methods Single-centre retrospective chart review (January 2017-November 2019) of all current patients followed in a tertiary care DAOA Clinic. Mental health challenges were classified as significant symptoms reported and/or formal diagnosis of anxiety, depression, attention deficit hyperactivity disorder, obsessive compulsive disorder, eating disorders, somatization, mood disorders, suicidal ideation, and self-harm. Frequency tables were generated for all categorical variables. Results Seventy-three patients are currently being followed in the DAOA clinic. Fifty-five of 73 (75%) had some form of mental health challenge including 11 (15%) which had a history of suicidal ideation and/or self-harm, 12 (17%) had no mental health concerns, and 6 (8%) are unknown. Of the 55 patients with a mental health challenge, 27 (49%) were diagnosed with a mental health condition prior to formal DAOA diagnosis and 10 (18%) were diagnosed after DAOA diagnosis. Eighteen (14%) reported symptoms of a mental health challenge but no confirmed mental health diagnosis. A breakdown of mental health symptoms and diagnoses are shown in Table 1. Of the 73 current patients, 41 (56%) accessed psychology services either through the DAOA Clinic or in the community, 9 (12%) have been referred to other health care services, and 8 (11%) did not access services. Psychiatric services were required by 15 patients (21%). Conclusion Three-quarters of DAOA patients report some mental health challenges. This emphasizes the need for psychology to support patients with DAOA. It is unclear as to whether a mental health challenge exacerbates symptoms of DAOA or DAOA symptoms negatively impact their mental health.

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Robson, Debbie, Sarah Keen, and Pia Mauro. "Physical health and dual diagnosis." Advances in Dual Diagnosis 1, no. 1 (August 2008): 27–32. http://dx.doi.org/10.1108/17570972200800006.

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Walker, W. O., and C. P. Johnson. "Mental Retardation: Overview and Diagnosis." Pediatrics in Review 27, no. 6 (June 1, 2006): 204–12. http://dx.doi.org/10.1542/pir.27-6-204.

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Blair, Robert G. "Mental health needs among Cambodian refugees in Utah." International Social Work 44, no. 2 (April 2001): 179–96. http://dx.doi.org/10.1177/002087280104400204.

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A total of 124 Cambodian refugees in Utah were interviewed about their mental health and demographic characteristics. Results indicate that 51 percent met the DSM-III-R criteria for major depression and 45 percent for a diagnosis of post-traumatic stress disorder (PTSD). Findings of other mental health diagnoses were less frequent. It was also found that in spite of high rates of psychopathology, utilization of health and mental health services was limited. A number of barriers prevented easy access to such services, particularly for those with PTSD.

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Al-Krenawi, Alean, and John R. Graham. "Social work and Koranic mental health healers." International Social Work 42, no. 1 (January 1999): 53–65. http://dx.doi.org/10.1177/002087289904200106.

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The healing activities of six Arab Muslim Koranic healers working in the Negev desert, West Bank and the Gaza Strip are analysed with respect to healer characteristics, the process of becoming a healer, and the stages of treating mental illness, including pre-diagnosis, diagnosis, and treatment. Prospects are considered for mutual integration, observation, and dissemination between social work and Koranic healing.

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Popkess-Vawter, Sue, Helen C. Cox, Mittie D. Hinz, Mary Ann Lubno, Susan A. Newfield, Nancy A. Ridenour, and Kathryn L. Sridaromont. "Clinical Applications of Nursing Diagnosis: Adult Health, Child Health, Women's Health, Mental Health, Home Health." American Journal of Nursing 90, no. 4 (April 1990): 114. http://dx.doi.org/10.2307/3426202.

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Koka, Betty E., Frank P. Deane, and Gordon Lambert. "Health worker confidence in diagnosing and treating mental health problems in Papua New Guinea." South Pacific Journal of Psychology 15 (2004): 29–42. http://dx.doi.org/10.1017/s0257543400000146.

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Confidence in identifying different diagnostic categories of mental disorders by general health workers who provide the bulk of Papua New Guinea's (PNG) mental health care is vital for the country's provision of mental health care. Making a psychiatric diagnosis is complicated by PNG's diverse culture and estimated 800 distinct languages. These cultural-linguistic factors influence help-seeking behaviour and continued use of traditional treatment despite the introduction of western approaches to mental health care. The aim of this study was to determine the confidence of health workers in identifying and diagnosing different categories of mental health problems in this complex environment. A sample of 209 Papua New Guinea health workers from four geographic regions completed a questionnaire that assessed background levels of training and confidence in diagnosing a range of modern and culture specific diagnoses. Overall, respondents reported relatively little prior mental health training. Consistent with this were the relatively low levels of confidence for culture specific diagnoses (e.g. sorcery), but significantly higher levels of confidence with modern diagnoses (e.g. depression). The implications of the findings for training and provision of mental health care are discussed.

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Kaba, Fatos, Angela Solimo, Jasmine Graves, Sarah Glowa-Kollisch, Allison Vise, Ross MacDonald, Anthony Waters, et al. "Disparities in Mental Health Referral and Diagnosis in the New York City Jail Mental Health Service." American Journal of Public Health 105, no. 9 (September 2015): 1911–16. http://dx.doi.org/10.2105/ajph.2015.302699.

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Leddy, Meaghan, David Haaga, James Gray, and Jay Schulkin. "Postpartum mental health screening and diagnosis by obstetrician–gynecologists." Journal of Psychosomatic Obstetrics & Gynecology 32, no. 1 (January 25, 2011): 27–34. http://dx.doi.org/10.3109/0167482x.2010.547639.

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Gournay, Professor Kevin. "Dual diagnosis: mental health problems and substance abuse/dependence." Mental Health Practice 2, no. 3 (November 1, 1998): 28–35. http://dx.doi.org/10.7748/mhp.2.3.28.s19.

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Gibbons, Robert D., David J. Weiss, Ellen Frank, and David Kupfer. "Computerized Adaptive Diagnosis and Testing of Mental Health Disorders." Annual Review of Clinical Psychology 12, no. 1 (March 28, 2016): 83–104. http://dx.doi.org/10.1146/annurev-clinpsy-021815-093634.

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Timimi, Sami. "Children’s mental health: Time to stop using psychiatric diagnosis." European Journal of Psychotherapy & Counselling 17, no. 4 (October 2, 2015): 342–58. http://dx.doi.org/10.1080/13642537.2015.1094500.

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Crowe, Marie. "Psychiatric diagnosis: some implications for mental health nursing care." Journal of Advanced Nursing 31, no. 3 (March 2000): 583–89. http://dx.doi.org/10.1046/j.1365-2648.2000.01313.x.

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Korfage, Ida J., Harry J. de Koning, Monique Roobol, Fritz H. Schröder, and Marie-Louise Essink-Bot. "Prostate cancer diagnosis: The impact on patients’ mental health." European Journal of Cancer 42, no. 2 (January 2006): 165–70. http://dx.doi.org/10.1016/j.ejca.2005.10.011.

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Crowe, Marie. "Psychiatric diagnosis: some implications for mental health nursing care." Journal of Advanced Nursing 53, no. 1 (January 2006): 125–31. http://dx.doi.org/10.1111/j.1365-2648.2006.03691.x.

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Schafer, Markus H., and Jonathan Koltai. "Cancer Diagnosis and Mental Health among Older White Adults." Society and Mental Health 5, no. 3 (April 2, 2015): 182–202. http://dx.doi.org/10.1177/2156869315577631.

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Canady, Valerie A. "National survey reveals college-student mental health diagnosis increase." Mental Health Weekly 28, no. 43 (November 11, 2018): 1–7. http://dx.doi.org/10.1002/mhw.31663.

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Salvador-Carulla, L., and J. E. Mezzich. "Person-centred medicine and mental health." Epidemiology and Psychiatric Sciences 21, no. 2 (March 2, 2012): 131–37. http://dx.doi.org/10.1017/s204579601200008x.

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This paper discusses an integrated approach to person-centred medicine and its role in the future of mental health care. The origins and current status of this emerging field are revised with special attention to the contributions made from psychiatry and to the implications for psychiatric diagnosis and evaluation of the three pillars of the Person-centred Integrative Diagnosis (PID) model: its conceptual domains (health status, experiences and contributors to ill and good health), the related evaluative procedures, the partnerships needed and the existing links and differences with people-centred care and personalised medicine. In spite of their striking complementarities person-centred medicine and personalised medicine do not yet have substantial bridges built between them. Knowledge transfer and coordination should be established between these two models which will cast medical evaluation and care in the upcoming future.

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Fletcher, Terri L., Ashley Helm, Viralkumar Vaghani, Mark E. Kunik, Melinda A. Stanley, and Hardeep Singh. "Identifying psychiatric diagnostic errors with the Safer Dx Instrument." International Journal for Quality in Health Care 32, no. 6 (July 2020): 405–11. http://dx.doi.org/10.1093/intqhc/mzaa066.

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Abstract Objective Diagnostic errors in psychiatry are understudied partly because they are difficult to measure. The current study aimed to adapt and test the Safer Dx Instrument, a structured tool to review electronic health records (EHR) for errors in medical diagnoses, to evaluate errors in anxiety diagnoses to improve measurement of psychiatric diagnostic errors. Design The iterative adaptation process included a review of the revised Safer Dx-Mental Health Instrument by mental health providers to ensure content and face validity and review by a psychometrician to ensure methodologic validity and pilot testing of the revised instrument. Settings None. Participants Pilot testing was conducted on 128 records of patients diagnosed with anxiety in integrated primary care mental health clinics. Cases with anxiety diagnoses documented in progress notes but not included as a diagnosis for the encounter (n = 25) were excluded. Intervention(s) None. Main Outcome Measure(s) None. Results Of 103 records meeting the inclusion criteria, 62 likely involved a diagnostic error (42 from use of unspecified anxiety diagnosis when a specific anxiety diagnosis was warranted; 20 from use of unspecified anxiety diagnosis when anxiety symptoms were either undocumented or documented but not severe enough to warrant diagnosis). Reviewer agreement on presence/absence of errors was 88% (κ = 0.71). Conclusion The revised Safer Dx-Mental Health Instrument has a high reliability for detecting anxiety-related diagnostic errors and deserves testing in additional psychiatric populations and clinical settings.

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Parker, Tassy, Philip A. May, Marcello A. Maviglia, Steven Petrakis, Scott Sunde, and Susan V. Gloyd. "PRIME-MD: Its Utility in Detecting Mental Disorders in American Indians." International Journal of Psychiatry in Medicine 27, no. 2 (June 1997): 107–28. http://dx.doi.org/10.2190/c6fd-7qwb-kngr-m844.

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Objective: To examine the utility of using PRIME-MD (Primary Care Evaluation of Mental Disorders) for diagnosing mental disorders in American Indians. Method: One hundred randomly selected, adult, American-Indian patients who receive health care services at an urban Indian Health Service primary care clinic were evaluated for mental disorder by three primary care physicians using the PRIME-MD diagnostic assessment procedure. The main outcome measures were PRIME-MD diagnoses, diagnoses by an independent mental health professional, and treatment/referral decisions. Results: Eighteen percent of the patients had a threshold (met full DSM-IV criteria) PRIME-MD diagnosis, and an additional 17 percent had a subthreshold PRIME-MD diagnosis. The most frequently occurring PRIME-MD diagnoses were: probable alcohol abuse/dependence, major depressive disorder, and generalized anxiety disorder. Over 60 percent of the patients with a PRIME-MD diagnosis who were known “somewhat” or “fairly well” to their physician had not been recognized as having that psychiatric disorder prior to the PRIME-MD assessment. Therapy and/or referral was initiated for nineteen of the twenty-seven patients with a PRIME-MD diagnosis who were not previously receiving treatment. The primary care physicians were able to complete the PRIME-MD evaluations within an average of 7.8 minutes. There was a fair agreement between the PRIME-MD diagnoses and the diagnoses of the mental health professional (kappa = 0.56; overall accuracy rate = 79%). Conclusions: The present study represents the first formal examination of the use of PRIME-MD with American Indians. The results are encouraging. Further studies using PRIME-MD with other urban groups and reservation populations are recommended.

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Dégi L., Csaba, and Piroska Balog. "Medical, psychological and social aspects of cancer diagnosis disclosure and non-disclosure." Mentálhigiéné és Pszichoszomatika 10, no. 1 (March 2009): 1–19. http://dx.doi.org/10.1556/mental.10.2009.1.1.

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Measey, Laurence G. "Mental health aspects of incapacity benefit." Psychiatric Bulletin 20, no. 7 (July 1996): 434–36. http://dx.doi.org/10.1192/pb.20.7.434.

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In February 1994 the Royal College of Psychiatrists contacted the Benefits Agency Medical Services (BAMS) to take part in their consultation exercise before bringing in the new Incapacity Benefit (IB) in April 1995. This new benefit was to replace the then existing Invalidity Benefit which was being paid to over 250 000 people with a primary diagnosis of mental illness. The main changes were that a patient's own general practitioner (GP) would certify incapacity for work for the first 29 weeks of sickness and after this the continuation of benefit (IB) would require assessment by a BAMS doctor, with some illness categories being exempt from medical examination. The aim was to create standardised criteria across the UK and to do so in an objective fashion, based on function rather than diagnosis. The test is designed to look at ability to work in any capacity rather than the claimant's own work which is the criterion for the first 29 weeks.

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Brøndbo, Håkan, Børge Mathiassen, Monica Martinussen, Einar Heiervang, Mads Eriksen, and Siv Kvernmo. "Agreement on Web-based Diagnoses and Severity of Mental Health Problems in Norwegian Child and Adolescent Mental Health Services." Clinical Practice & Epidemiology in Mental Health 8, no. 1 (March 22, 2012): 16–21. http://dx.doi.org/10.2174/1745017901208010016.

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Objective: This study examined the agreement between diagnoses and severity ratings assigned by clinicians using a structured web-based interview within a child and adolescent mental health outpatient setting. Method: Information on 100 youths was obtained from multiple informants through a web-based Development and Well-Being Assessment (DAWBA). Based on this information, four experienced clinicians independently diagnosed (according to the International Classification of Diseases Revision 10) and rated the severity of mental health problems according to the Health of the Nation Outcome Scales for Children and Adolescents (HoNOSCA) and the Children’s Global Assessment Scale (C-GAS). Results: Agreement for diagnosis was κ=0.69-0.82. Intra-class correlation for single measures was 0.78 for HoNOSCA and 0.74 for C-GAS, and 0.93 and 0.92, respectively for average measures. Conclusions: Agreement was good to excellent for all diagnostic categories. Agreement for severity was moderate, but improved to substantial when the average of the ratings given by all clinicians was considered. Therefore, we conclude that experienced clinicians can assign reliable diagnoses and assess severity based on DAWBA data collected online.

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Parker, G., R. Mahendran, S. G. Yeo, M. I. Loh, and A. F. Jorm. "Diagnosis and treatment of mental disorders: a survey of Singapore mental health professionals." Social Psychiatry and Psychiatric Epidemiology 34, no. 10 (November 11, 1999): 555–63. http://dx.doi.org/10.1007/s001270050175.

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