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Biomedical subjects

Amy M Kilbourne

Publications and source records attributed to Amy M Kilbourne.

At least 19 recordsLinked to original sources
PubMed2006

Advancing health disparities research within the health care system: a conceptual framework.

We provide a framework for health services-related researchers, practitioners, and policy makers to guide future health disparities research in areas ranging from detecting differences in health and health care to understanding the determinants that underlie disparities to ultimately designing interventions that reduce and eliminate these disparities. To do this, we identified potential selection biases and definitions of vulnerable groups when detecting disparities. The key factors to understanding disparities were multilevel determinants of health disparities, including individual beliefs and preferences, effective patient-provider communication; and the organizational culture of the health care system. We encourage interventions that yield generalizable data on their effectiveness and that promote further engagement of communities, providers, and policymakers to ultimately enhance the application and the impact of health disparities research.

Attitude to Health↗
PubMed2006

The role of clinical information technology in depression care management.

We examine the literature on the growing application of clinical information technology in managing depression care and highlight lessons learned from Robert Wood Johnson Foundation's national program "Depression in Primary Care-Incentives Demonstrations." Several program sites are implementing depression care registries. Key issues discussed about implementing registries include using a simple yet functional format, designing registries to track multiple conditions versus depression alone (i.e., patient-centric versus disease-centric registries) and avoiding violations of patient privacy with the advent of more advanced information technologies (e.g., web-based formats). Finally, we discuss some implications of clinical information technology for health care practices and policy makers.

Depression↗
PubMed2006

Challenges of implementing depression care management in the primary care setting.

Empirical evidence shows that care management is an effective tool for improving depression treatment in primary care patients. However, several conceptual and practical issues have not been sufficiently addressed. This article explores questions concerning the scope of care management services within the chronic illness care model; optimal ways to identify depressed patients in the primary care setting; responsibilities and desirable qualifications of depression care managers; the location and manner in which care managers interact with patients; costs of services provided by care managers; and the level of supervision by mental health specialists that is necessary to ensure quality care.

Depression↗
PubMed2006

Management of mental disorders in VA primary care practices.

The association between facility-level organizational features and management of mental health services was assessed based on a survey of directors from 219 VA primary care facilities. Overall, 26.4% of VA primary care facilities referred patients with depression, while 72.6% and 46.1% referred patients with serious mental illness and substance use disorders, respectively Staffing mix (i.e., physician extenders such as nurse practitioners) was associated with a lesser likelihood of mental health referral. Managed care (preauthorization requirement) was associated with a greater likelihood of referral for depression. VA primary care programs, while tending to refer for more serious mental illnesses, may also be using mental health specialists and physician extenders to provide mental health care within general medical settings.

Cross-Sectional Studies↗
PubMed2006

Quality of care for substance use disorders in patients with serious mental illness.

We assessed the quality of care for substance use disorders (SUDs) among 8,083 patients diagnosed with serious mental illness from the VA mid-Atlantic region. Using data from the National Patient Care Database (2001-2002), we assessed the percentage of patients receiving a diagnosis of SUD, percentage beginning SUD treatment 14 days or earlier after diagnosis, and percentage receiving continued SUD care 30 days or less. Overall, 1,559 (19.3%) were diagnosed with an SUD. Of the 1,559, 966 (62.0%) initiated treatment and 847 (54.3%) received continued care. Although patients diagnosed with bipolar disorder were more likely to receive a diagnosis of SUD than those diagnosed with schizophrenia or schizoaffective disorder (22.7%, 18.9%, and 17.7%, respectively; chi(2) = 26.02, df = 2, p < .001), they were less likely to initiate (49.1%, 70.7%, and 68.6%, respectively; chi(2) = 59.29, df = 2, p < .001) or continue treatment (39.9%, 63.2%, and 62.2%, respectively; chi(2) = 72.25, df = 2, p <. 001). Greater efforts are needed to diagnose and treat SUDs in patients with serious mental illness, particularly for those with bipolar disorder.

Adult↗
PubMed2006

Recognition of co-occurring medical conditions among patients with serious mental illness.

We determined whether patients with serious mental illness (SMI) were less likely than non-SMI to self-report having a medical condition that was recorded in their medical record. We included all patients from the VA National Psychosis Registry diagnosed with SMI and a random sample of non-SMI patients in fiscal year 1999 who completed the Large Health Survey of Veteran Enrollees (N = 35,837). Among patients with diagnoses for any of 11 conditions recorded in administrative data, we evaluated whether patients reported having that same condition in the survey, using multivariable logistic regression and generalized estimating equations. Among patients diagnosed with a given condition, those with SMI were less likely to report being told by providers that they had seven of the 11 conditions examined: heart disease (OR = 0.68, p < 0.001), arthritis (OR = 0.79, p < 0.001), cancer (OR = 0.69, p < 0.001), diabetes (OR = 0.79, p < 0.001), back pain (OR = 0.81, p < 0.001), congestive heart failure (OR = 0.71, p < 0.001), and hypertension (OR = 0.77, p < 0.001). Patients with SMI were less aware of co-occurring medical conditions.

Aged↗
PubMed2006

Patterns of psychotropic medication use by race among veterans with bipolar disorder.

OBJECTIVE: This study investigated whether race was associated with patterns of psychotropic medication use among veterans with bipolar disorder. METHODS: Data were examined for veterans from the mid-Atlantic region with a diagnosis of bipolar disorder in fiscal year 2001. Prescription data determined whether differences existed between black and nonblack patients in the receipt of lithium, other mood stabilizers, all mood stabilizers, first-generation antipsychotics, second-generation antipsychotics, all antipsychotics, selective serotonin reuptake inhibitors (SSRIs), tricyclic antidepressants, all antidepressants, and benzodiaze-pines. RESULTS: Data for 2,958 patients were sampled: 347 blacks and 2,611 nonblacks. Multivariable analyses that adjusted for patient and clinical factors revealed that compared with nonblacks, blacks were significantly less likely to receive lithium and SSRIs and significantly more likely to receive first-generation antipsychotics and any antipsychotic. CONCLUSIONS: These findings suggest that efforts should be made to reduce disparities in access to pharmacotherapy among patients with bipolar disorder.

Bipolar Disorder↗
PubMed2006

Self-reported medication treatment adherence among veterans with bipolar disorder.

OBJECTIVE: Treatment nonadherence has been identified as an understudied, yet frequent, cause of relapse among patients with bipolar disorder. This study evaluated factors related to treatment adherence. METHODS: This study was a cross-sectional analysis of patient characteristics, features of the patient-provider relationship, and barriers to care as they related to self-reported treatment adherence among veterans with bipolar disorder. Data were collected before patients were randomly assigned to treatment in a multicenter trial. Participants were enrolled in the study from 1997 to 2000. RESULTS: This analysis found that individuals with bipolar disorder who were adherent to medication (N=113) differed from those who were not (N=71) on patient characteristics and variables related to the patient-provider relationship. Individuals with bipolar disorder who were not adherent to medication were more likely than those who were adherent to have a current substance use disorder. A past substance use disorder was not associated with treatment nonadherence. Adherence to medication was not predicted by symptoms, overall health status, functional level, or gender. Individuals who were adherent to medication took a greater number of different medications than those who were nonadherent. CONCLUSIONS: Treatment adherence is a multidimensional entity and includes not only patient characteristics but also factors related to patient-provider interactions. Therapeutic approaches that address or incorporate an individual's comorbid conditions and are able to optimize intensity of treatment may have the greatest effect on treatment adherence attitudes and behaviors.

Antipsychotic Agents↗
PubMed2006

Collaborative care for bipolar disorder: part I. Intervention and implementation in a randomized effectiveness trial.

Outcome for bipolar disorder remains suboptimal despite the availability of efficacious treatments. To improve treatment effectiveness in clinical practice, a Veterans Affairs study team created a care model conceptually similar to the lithium clinics of the 1970s but augmented by principles of more recent collaborative care models for chronic medical illnesses. This intervention consists of improving patients' self-management skills through psychoeducation; supporting providers' decision making through simplified practice guidelines; and enhancing access to care, continuity of care, and information flow through the use of a nurse care coordinator. In this article, which is part I of a two-part report, the authors summarize the conceptual background and development of the intervention, describe the design of a three-year, 11-site randomized effectiveness trial, and report data describing its successful implementation. Trial design emphasized aspects of effectiveness to support generalizability of the findings and eventual dissemination of the intervention. Part II (see companion article, this issue) reports clinical, functional, and overall cost outcomes of the trial.

Adult↗
PubMed2006

Collaborative care for bipolar disorder: Part II. Impact on clinical outcome, function, and costs.

OBJECTIVE: The study addressed whether a collaborative model for chronic care, described in part I (this issue), improves outcome for bipolar disorder. METHODS: The intervention was designed to improve outcome by enhancing patient self-management skills with group psychoeducation; providing clinician decision support with simplified practice guidelines; and improving access to care, continuity of care, and information flow via nurse care coordinators. In an effectiveness design veterans with bipolar disorder at 11 Veterans Affairs hospitals were randomly assigned to three years of care in the intervention or continued usual care. Blinded clinical and functional measures were obtained every eight weeks. Intention-to-treat analysis (N=306) with mixed-effects models addressed the hypothesis that improvements would accrue over three years, consistent with social learning theory. RESULTS: The intervention significantly reduced weeks in affective episode, primarily mania. Broad-based improvements were demonstrated in social role function, mental quality of life, and treatment satisfaction. Reductions in mean manic and depressive symptoms were not significant. The intervention was cost-neutral while achieving a net reduction of 6.2 weeks in affective episode. CONCLUSIONS: Collaborative chronic care models can improve some long-term clinical outcomes for bipolar disorder. Functional and quality-of-life benefits also were demonstrated, with most benefits accruing in years 2 and 3.

Adult↗
PubMed2005

Bipolar disorder in late life: future directions in efficacy and effectiveness research.

There is a dearth of knowledge regarding the diagnosis and treatment of bipolar disorder in late life. Based on a review of the current research on bipolar disorder in late life, emerging areas of research were identified: 1) methodological challenges in diagnosing bipolar disorder; 2) a lack of guidelines for the treatment of bipolar disorder in late life; 3) increased prevalence of general medical comorbidities; and 4) a need to improve access to care and social support services. The current literature regarding bipolar disorder in late life suggests the need for more rigorous studies on accuracy in diagnoses, etiology and risk factors, and efficacy studies on pharmacotherapy treatment options. However, effectiveness studies that focus on translating research into practice also are needed, particularly strategies to monitor and improve the quality of care in routine settings and better coordinated medical, psychiatric, and social services for older adults with bipolar disorder.

Age of Onset↗
PubMed2005

The burden of general medical conditions in patients with bipolar disorder.

We reviewed the current literature on medical comorbidity burden in bipolar disorder. Overall, current studies suggest that numerous medical conditions may occur disproportionately within bipolar disorder patient populations, including hypertension, hyperlipidemia, and hepatitis C infection. In addition, the determinants of increased burden of medical comorbidity in patients with bipolar disorder include metabolic-related factors, health care access barriers, and patient behavioral and treatment factors. Overall, interventions specifically designed to reduce the burden of medical comorbidity in bipolar disorder are needed, especially those that emphasize changes at the health system level to facilitate coordination of medical and psychiatric care.

Bipolar Disorder↗
PubMed2005

Medical comorbidity and health-related quality of life in bipolar disorder across the adult age span.

BACKGROUND: Little is known about medical comorbidity or health-related quality of life (HRQOL) in bipolar disorder across the adult age span, especially in public sector patients. METHODS: We obtained cross-sectional demographic, clinical, and functional ratings for 330 veterans hospitalized for bipolar disorder with Mini-Mental State score > or = 27 and without active alcohol/substance intoxication or withdrawal, who had had at least 2 prior psychiatric admissions in the last 5 years. Structured medical record review identified current/lifetime comorbid medical conditions. SF-36 Physical (PCS) and Mental (MCS) Component Scores, measured physical and mental HRQOL. Univariate and multivariate analyses addressed main hypotheses that physical and mental function decrease with age with decrements due to increasing medical comorbidity. RESULTS: PCS decreased (worsened) with age; number of current comorbid medical diagnoses, but not age, explained the decline. Older individuals had higher (better) MCS, even without controlling for medical comorbidity. Multivariate analysis indicated association of MCS with age, current depressed/mixed episode, number of past-year depressive episodes, and current anxiety disorder, but not with medical comorbidity, number of past-year manic episodes, current substance disorder or lifetime comorbidities. LIMITATIONS: This cross-sectional design studied a predominantly male hospitalized sample who qualified for and consented to subsequent randomized treatment. CONCLUSIONS: Medical comorbidity is associated with lower (worse) physical HRQOL, independent of age. Surprisingly, younger rather than older subjects reported lower mental HRQOL. This appears due in part to more complex psychiatric presentations, and several mechanisms are discussed. Both results suggest that age-specific assessment and treatment may enhance HRQOL outcome.

Adult↗
PubMed2005

Clinical, psychosocial, and treatment differences in minority patients with bipolar disorder.

OBJECTIVES: The clinical profile of minorities with bipolar disorder has been largely unexplored. We compared the clinical (e.g. psychiatric and substance use comorbidity), psychosocial, and treatment characteristics between white and minority patients with bipolar disorder (minorities were defined as black or other minority, which included Hispanic, Asian-American, or Native-Americans). METHODS: We collected demographic, diagnosis, and treatment information using the Structured Clinical Interview for DSM-IV (SCID) from 330 inpatients with a current major affective episode across 11 Veterans Affairs (VA) Medical Centers enrolled in the VA Cooperative Study (Reducing the Efficacy-Effectiveness Gap in Bipolar Disorder). RESULTS: Twenty-four percent (n=80) were minority; 9% (n=30) were women, 4% (n=20) were >or=65 years old; and the majority (87%, n=286) had bipolar type I. Minorities compared with whites were no more likely to have a current episode of psychosis (30% versus 37%, respectively; p=0.28). However, minorities were more likely than whites to have a cocaine use disorder (adjusted odd's ratio, OR=2.2; 95% CI: 1.4-3.5; p<0.01) or current alcohol abuse disorder (adjusted OR=1.8; 95% CI: 1.1-3.9;p<0.05). Further breakdown by race/ethnicity revealed that cocaine use disorder was most prevalent among blacks (n=14, 29%), compared with all other minorities (n=2, 6%) or whites (n=10, 4%; p<0.001). Other minorities compared with blacks or whites were more likely involuntarily committed during some part of their index hospitalization (adjusted OR=2.47; 95% CI: 1.1-5.7; p=0.04). CONCLUSIONS: Minorities with bipolar disorder may be a more vulnerable population because of higher rates of substance use disorder and higher rates of involuntary psychiatric commitment. Moreover, the specific profile of vulnerability may differ across minority groups.

Adult↗
PubMed2005

How does depression influence diabetes medication adherence in older patients?

OBJECTIVE: Using various measures (electronic monitoring, patient/provider report, pharmacy data), the authors assessed the association between depression and diabetes medication adherence among older patients with Type 2 diabetes. METHODS: Patients completed a baseline survey on depression (Patient Health Questionnaire) and were given electronic monitoring caps (EMCs) to use with their oral hypoglycemic medication. At the time of the patient baseline survey, providers completed a survey on their patients' overall medication adherence. Upon returning the caps after 30 days, patients completed a survey on their overall medication adherence. EMC adherence was defined as percent of days out of 30 with correct number of doses. Using pharmacy refill data from the patient baseline through 1 year later, they defined adherence as the percentage of days with adequate medication, based on days' supply across refill periods. RESULTS: Of 203 patients (mean age: 67 years), 10% (N=19) were depressed. Depressed patients were less likely to self-report good adherence and had a lower median percentage of days with adequate medication coverage (on the basis of pharmacy refill data). After adjustment for alcohol use, cognitive impairment, age, and other medication use, depression was still negatively associated with adequate adherence, according to patient report and pharmacy data. Depression showed no associated with adherence on the basis of provider or EMC data. CONCLUSIONS: Depression was independently associated with inadequate medication adherence on the basis of patient self-report and pharmacy data.

Adult↗
PubMed2005

General-medical conditions in older patients with serious mental illness.

OBJECTIVE: The burden of medical comorbidities was compared between older (> or =60 years) and younger patients with serious mental illness. METHODS: Patients (N=8,083) diagnosed with schizophrenia, schizoaffective disorder, or bipolar disorder in 2001 were identified from VA facilities in the mid-Atlantic region. Medical comorbidities were identified by an ICD-9-based clinical classification algorithm. RESULTS: Older, versus younger, patients were more likely to be diagnosed with cardiovascular or pulmonary conditions, and less likely to be diagnosed with substance-use disorders or hepatic conditions. CONCLUSIONS: More aggressive detection and management of general-medical comorbidities in older patients with serious mental illness is paramount.

Bipolar Disorder↗
PubMed2005

Racial differences in the treatment of veterans with bipolar disorder.

OBJECTIVES: The authors examined whether African Americans, compared with whites, received guideline-concordant care for bipolar I disorder. METHODS: A retrospective analysis was conducted of data for patients who received a diagnosis of bipolar I disorder in fiscal year 2001 and received care in facilities in the Department of Veterans Affairs (VA) mid-Atlantic region. Indicators of guideline-concordant care were based on prescription data and data on utilization of inpatient and outpatient services from VA databases. RESULTS: A total of 2,316 patients with a diagnosis of bipolar I disorder were identified. Their mean age was 52 years; 9.4 percent (N=218) were women, and 13.1 percent (N=303) were African American. Overall, mood stabilizers were prescribed for 74.6 percent (N=1,728) of the patients; 67.1 percent (N=1,554) had an outpatient mental health visit within 90 days after the index diagnosis, and 54.3 percent (N=1,258) had an outpatient visit within 30 days after discharge from a psychiatric hospitalization. Multivariate logistic regression analyses with adjustment for sociodemographic and facility factors revealed that African Americans were less likely than whites to have an outpatient follow-up visit within 90 days after the index diagnosis. Race was not associated with receipt of mood stabilizers or use of outpatient services after a hospital discharge. CONCLUSIONS: Although a majority of patients received guideline-concordant care for bipolar disorder, potential gaps in continuity of outpatient care may exist for African-American patients.

Black or African American↗