Global Mental Health and Adolescent Anxiety: Kin,Care and Struggle in New Mexico

While recent developments within the field of global mental health have illuminated the reality of serious mental health difficulties worldwide, particularly in low-income settings, research that focuses on children and adolescents remains underdeveloped. This is especially the case with respect to ethnographic studies of lived experience of adolescents diagnosed with serious mental health conditions. Drawing from an interdisciplinary study of adolescents in New Mexico who were afflicted with a broad range of disorders according to contemporary research diagnostic criteria, this article focuses on anxiety-related conditions with respect to subjective experience and social–ecological contexts of living with such conditions. We offer preliminary observations regarding the value of linking ethnographic and research diagnostic data to address questions of resilience, endurance, capacity and struggle. These observations are intended as the basis for the formulation of more precise hypotheses about adolescent anxiety, kin, and care under conditions of structural violence marked by psychological, residential, and intergenerational adversity.     

Beyond the Biomedical: Community Resources for Mental Health Care in Rural Ethiopia

BackgroundThe focus of discussion in addressing the treatment gap is often on biomedical services. However, community resources can benefit health service scale-up in resource-constrained settings. These assets can be captured systematically through resource mapping, a method used in social action research. Resource mapping can be informative in developing complex mental health interventions, particularly in settings with limited formal mental health resources.MethodWe employed resource mapping within the Programme for Improving Mental Health Care (PRIME), to systematically gather information on community assets that can support integration of mental healthcare into primary care in rural Ethiopia. A semi-structured instrument was administered to key informants. Community resources were identified for all 58 sub-districts of the study district. The potential utility of these resources for the provision of mental healthcare in the district was considered.ResultsThe district is rich in community resources: There are over 150 traditional healers, 164 churches and mosques, and 401 religious groups. There were on average 5 eddir groups (traditional funeral associations) per sub-district. Social associations and 51 micro-finance institutions were also identified. On average, two traditional bars were found in each sub-district. The eight health centres and 58 satellite clinics staffed by Health Extension Workers (HEWs) represented all the biomedical health services in the district. In addition the Health Development Army (HDA) are community volunteers who support health promotion and prevention activities.DiscussionThe plan for mental healthcare integration in this district was informed by the resource mapping. Community and religious leaders, HEWs, and HDA may have roles in awareness-raising, detection and referral of people with mental illness, improving access to medical care, supporting treatment adherence, and protecting human rights. The diversity of community structures will be used to support rehabilitation and social reintegration. Alcohol use was identified as a target disorder for community-level intervention.     

The Quality of Mental Health Care for African Americans

In response to the Surgeon General's request for more research on racial disparities in mental health care, especially research that includes high-need populations (e.g., the homeless, incarcerated, children in foster care, and substance abusers), we examined racial disparities in the provision of mental health counseling, psychotherapy, and pharmacotherapy in hospital outpatient settings using nationally representative data from the 1997 National Hospital Ambulatory Medical Care Survey (NHAMCS). After controlling for diagnosis and other factors, we found that African Americans were less likely than whites to receive mental health counseling and psychotherapy, but more likely than whites to receive pharmacotherapy. We also found that substance abuse clinics were more likely than primary care and specialty mental health clinics to provide mental health counseling and psychotherapy. However, specialty mental health clinics were the only clinics to provide pharmacotherapy. Future research should examine racial disparities in a variety of settings, controlling for diagnosis as well as other factors.     

Experience of Primary Care among Homeless Individuals with Mental Health Conditions

The delivery of primary care to homeless individuals with mental health conditions presents unique challenges. To inform healthcare improvement, we studied predictors of favorable primary care experience among homeless persons with mental health conditions treated at sites that varied in degree of homeless-specific service tailoring. This was a multi-site, survey-based comparison of primary care experiences at three mainstream primary care clinics of the Veterans Administration (VA), one homeless-tailored VA clinic, and one tailored non-VA healthcare program. Persons who accessed primary care service two or more times from July 2008 through June 2010 (N = 366) were randomly sampled. Predictor variables included patient and organization characteristics suggested by the patient perception model developed by Sofaer and Firminger (2005), with an emphasis on mental health. The primary care experience was assessed with the Primary Care Quality-Homeless (PCQ-H) questionnaire, a validated survey instrument. Multiple regression identified predictors of positive experiences (i.e. higher PCQ-H total score). Significant predictors of a positive experience included a site offering tailored service design, perceived choice among providers, and currently domiciled status. There was an interaction effect between site and severe psychiatric symptoms. For persons with severe psychiatric symptoms, a homeless-tailored service design was significantly associated with a more favorable primary care experience. For persons without severe psychiatric symptoms, this difference was not significant. This study supports the importance of tailored healthcare delivery designed for homeless persons’ needs, with such services potentially holding special relevance for persons with mental health conditions. To improve patient experience among the homeless, organizations may want to deliver services that are tailored to homelessness and offer a choice of providers.     

Generating Revenues: Fiscal Changes in Public Mental Health Care and the Emergence of Moral Conflicts among Care-Givers

Objective: The author examined how thefocus on financial accountability in the publicmental health sector has affected directservice providers' experience of their work. Methods: This was a two-year mixed methodstudy conducted throughout one small, state-runsystem. Data that were collected include fieldnotes taken in the course ofparticipant-observation research, tape-recordedsemi-structured ethnographic interviews, aswell as responses to anethnographically-informed survey instrumentthat was administered to providers throughoutthe system. Results: Interview materialssuggest that care-givers view their jobs as a``calling,' work that they perform in theservice of something greater than themselves. As the public mental health sector increasesits emphasis on fiscal issues, however, theseemployees are experiencing heightened moraltensions around their work. Jobs that wereonce conceptualized as being done ``for love'now are being done ``for money' – a change thatrepresents a moral contamination of theworkplace for many individuals. Conclusions: The goal of enhanced fiscalaccountability in the public mental healthsystem is to increase service effectiveness andcost-efficiency, that is, to do better work andto do it for less money. These study resultssuggest that this strategy could backfire, assome service providers must focus less on thequalities of the services they deliver, andmore on the quantities. The study encouragesmental health services researchers toincorporate ethnographic methods into studydesigns so that participants' experiences canbe taken into account when evaluating theimpact of system changes.     

Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink

Background

The use of Electronic Health Records databases for medical research has become mainstream. In the UK, increasing use of Primary Care Databases is largely driven by almost complete computerisation and uniform standards within the National Health Service. Electronic Health Records research often begins with the development of a list of clinical codes with which to identify cases with a specific condition. We present a methodology and accompanying Stata and R commands (pcdsearch/Rpcdsearch) to help researchers in this task. We present severe mental illness as an example.

Methods

We used the Clinical Practice Research Datalink, a UK Primary Care Database in which clinical information is largely organised using Read codes, a hierarchical clinical coding system. Pcdsearch is used to identify potentially relevant clinical codes and/or product codes from word-stubs and code-stubs suggested by clinicians. The returned code-lists are reviewed and codes relevant to the condition of interest are selected. The final code-list is then used to identify patients.

Results

We identified 270 Read codes linked to SMI and used them to identify cases in the database. We observed that our approach identified cases that would have been missed with a simpler approach using SMI registers defined within the UK Quality and Outcomes Framework.

Conclusion

We described a framework for researchers of Electronic Health Records databases, for identifying patients with a particular condition or matching certain clinical criteria. The method is invariant to coding system or database and can be used with SNOMED CT, ICD or other medical classification code-lists.