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Illness Diagnoses (illness + diagnosis)

Distribution by Scientific Domains
Medical Sciences80%

Kinds of Illness Diagnoses

  • mental illness diagnosis
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    Selected Abstracts

    Getting an Accurate Mental Illness Diagnosis for Your Child: 10 Steps for Families

    THE BROWN UNIVERSITY CHILD AND ADOLESCENT BEHAVIOR LETTER, Issue S4 2010
    Article first published online: 15 MAR 2010
    No abstract is available for this article. [source]

    Predictors of injury-related and non-injury-related mortality among veterans with alcohol use disorders

    ADDICTION, Issue 10 2010
    Sylwia Fudalej
    ABSTRACT Aims To describe the association between alcohol use disorders (AUDs) and mortality and to examine risk factors for and all-cause, injury-related and non-injury-related mortality among those diagnosed with an AUD. Setting Department of Veterans Affairs, Veterans Health Administration (VHA). Participants A cohort of individuals who received health care in VHA during the fiscal year (FY) 2001 (n = 3 944 778), followed from the beginning of FY02 through the end of FY06. Measurements Demographics and medical diagnoses were obtained from VHA records. Data on mortality were obtained from the National Death Index. Findings Controlling for age, gender and race and compared to those without AUDs, individuals with AUDs were more likely to die by all causes [hazard ratio (HR) = 2.30], by injury-related (HR = 3.29) and by non-injury-related causes (HR = 2.21). Patients with AUDs died 15 years earlier than individuals without AUDs on average. Among those with AUDs, Caucasian ethnicity and all mental illness diagnoses that were assessed were associated more strongly with injury-related than non-injury-related mortality. Also among those with AUDs, individuals with medical comorbidity and older age were at higher risk for non-injury related compared to injury-related mortality. Conclusions In users of a large health-care system, a diagnosis of an AUD is associated significantly with increased likelihood of dying by injury and non-injury causes. Patients with a diagnosis of an AUD who die from injury differ significantly from those who die from other medical conditions. Prevention and intervention programs could focus separately upon selected groups with increased risk for injury or non-injury-related death. [source]

    Effect of an Expenditure Cap on Low-Income Seniors' Drug Use and Spending in a State Pharmacy Assistance Program

    HEALTH SERVICES RESEARCH, Issue 3 2009
    Christine E. Bishop
    Objective. To estimate the impact of a soft cap (a ceiling on utilization beyond which insured enrollees pay a higher copayment) on low-income elders' use of prescription drugs. Data Sources and Setting. Claims and enrollment files for the first year ( June 2002 through May 2003) of the Illinois SeniorCare program, a state pharmacy assistance program, and Medicare claims and enrollment files, 2001 through 2003. SeniorCare enrolled non-Medicaid-eligible elders with income less than 200 percent of Federal Poverty Level. Minimal copays increased by 20 percent of prescription cost when enrollee expenditures reached $1,750. Research Design. Models were estimated for three dependent variables: enrollees' average monthly utilization (number of prescriptions), spending, and the proportion of drugs that were generic rather than brand. Observations included all program enrollees who exceeded the cap and covered two periods, before and after the cap was exceeded. Principle Findings. On average, enrollees exceeding the cap reduced the number of drugs they purchased by 14 percent, monthly expenditures decreased by 19 percent, and the proportion generic increased by 4 percent, all significant at p<.01. Impacts were greater for enrollees with greater initial spending, for enrollees without one of five chronic illness diagnoses in the previous calendar year, and for enrollees with lower income. Conclusions. Near-poor elders enrolled in plans with caps or coverage gaps, including Part D plans, may face sharp declines in utilization when they exceed these thresholds. [source]

    Obstetric Complications in Women with Diagnosed Mental Illness: The Relative Success of California's County Mental Health System

    HEALTH SERVICES RESEARCH, Issue 1 2010
    Dorothy Thornton
    Objective. To examine disparities in serious obstetric complications and quality of obstetric care during labor and delivery for women with and without mental illness. Data Source. Linked California hospital discharge (2000,2001), birth, fetal death, and county mental health system (CMHS) records. Study Design. This population-based, cross-sectional study of 915,568 deliveries in California, calculated adjusted odds ratios (AORs) for obstetric complication rates for women with a mental illness diagnosis (treated and not treated in the CMHS) compared with women with no mental illness diagnosis, controlling for sociodemographic, delivery hospital type, and clinical factors. Results. Compared with deliveries in the general non,mentally ill population, deliveries to women with mental illness stand a higher adjusted risk of obstetric complication: AOR=1.32 (95 percent confidence interval [CI]=1.25, 1.39) for women treated in the CMHS and AOR=1.72 (95 percent CI=1.66, 1.79) for women not treated in the CMHS. Mentally ill women treated in the CMHS are at lower risk than non-CMHS mentally ill women of experiencing conditions associated with suboptimal intrapartum care (postpartum hemorrhage, major puerperal infections) and inadequate prenatal care (acute pyelonephritis). Conclusion. Since mental disorders during pregnancy adversely affect mothers and their infants, care of the mentally ill pregnant woman by mental health and primary care providers warrants special attention. [source]

    Mental Illness and Length of Inpatient Stay for Medicaid Recipients with AIDS

    HEALTH SERVICES RESEARCH, Issue 5 2004
    Donald R. Hoover
    Objective. To examine the associations between comorbid mental illness and length of hospital stays (LOS) among Medicaid beneficiaries with AIDS. Data Source and Collection/Study Setting. Merged 1992,1998 Medicaid claims and AIDS surveillance data obtained from the State of New Jersey for adults with ,1 inpatient stay after an AIDS diagnosis from 1992 to 1996. Study Design. Observational study of 6,247 AIDS patients with 24,975 inpatient visits. Severe mental illness (SMI) and other less severe mental illness (OMI) diagnoses at visits were ascertained from ICD,9 Codes. About 4 percent of visits had an SMI diagnosis; 5 percent had an OMI diagnosis; 43 percent did not have a mental illness diagnosis, but were patients who had been identified as having an SMI or OMI history; and 48 percent were from patients with no identified history of mental illness. Principal Findings. The overall mean hospital LOS was 12.7 days. After adjusting for measures of HIV disease severity and health care access in multivariate models, patients presenting with primary and secondary severe mental illness (SMI) diagnoses had ,32 percent and ,11 percent longer LOS, respectively, than did similar patients without a mental illness history (p<0.001 for each). But in these adjusted models of length of stay: (1) diagnosis of OMI was not related to LOS, and (2) in the absence of a mental illness diagnosed at the visit, an identified history of either SMI or OMI was also not related to LOS. In adjusted models of time to readmission for a new visit, current diagnosis of SMI or OMI and in the absences of a current diagnosis, history of SMI or OMI all tended to be associated with quicker readmission. Conclusions. This study finds greater (adjusted) LOS for AIDS patients diagnosed with severe mental illness (but not for those diagnosed with less severe mental comorbidity) at a visit. The effect of acute severe mental illness on hospitalization time may be comparable to that of an acute AIDS opportunistic illness. While previous research raises concerns that mental illness increases LOS by interfering with treatment of HIV conditions, the associations here may simply indicate that extra time is needed to treat severe mental illnesses or arrange for discharge of afflicted patients. [source]