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1.
J Am Board Fam Med ; 25(5): 582-93, 2012.
Article in English | MEDLINE | ID: mdl-22956694

ABSTRACT

BACKGROUND: Depression is a leading cause of morbidity worldwide. The majority of treatment for depression occurs in primary care, but effective care remains elusive. Clinical decision making and comparative studies of real-world antidepressant effectiveness are limited by the absence of clinical measures of severity of illness and suicidality. METHODS: The Distributed Ambulatory Research in Therapeutics Network (DARTNet) was engaged to systematically collect data using the 9-item Patient Health Questionnaire (PHQ-9) at the point of care. We used electronic health records (EHRs) and the PHQ-9 to capture, describe, and compare data on both baseline severity of illness and suicidality and response and suicidality after diagnosis for depressed patients in participating DARTNet practices. RESULTS: EHR data were obtained for 81,028 episodes of depression (61,464 patients) from 14 clinical organizations. Over 9 months, data for 4900 PHQ-9s were collected from 2969 patients in DARTNet practices (this included 1892 PHQ-9s for 1019 adults and adolescents who had at least one depression diagnosis). Only 8.3% of episodes identified in our depression cohort had severity of illness information available in the EHR. For these episodes, considerable variation existed in both severity of illness (32.05% with no depression, 26.89% with minimal, 19.54% with mild, 12.04% with moderate, and 9.47% with severe depression) and suicidality (69.43% with a score of 0, 22.58% with a score of 1, 4.97% with a score of 2, and 3.02% with a score of 3 on item 9 of the PHQ-9). Patients with an EHR diagnosis of depression and a PHQ-9 (n = 1019) had similar severity but slightly higher suicidality levels compared with all patients for which PHQ-9 data were available. The PHQ-9 showed higher sensitivity for identifying depression response and emergent (after diagnosis) severity and suicidality; 25% to 30% of subjects had some degree of suicidal thought at some point in time according to the PHQ-9. CONCLUSIONS: This study demonstrated the value of adding PHQ-9 data and prescription fulfillment data to EHRs to improve diagnosis and management of depression in primary care and to enable more robust comparative effectiveness research on antidepressants.


Subject(s)
Depressive Disorder/diagnosis , Depressive Disorder/psychology , Electronic Health Records , Suicidal Ideation , Adolescent , Adult , Aged , Ambulatory Care , Antidepressive Agents/therapeutic use , Comparative Effectiveness Research , Depressive Disorder/drug therapy , Depressive Disorder/epidemiology , Female , Humans , Male , Middle Aged , Severity of Illness Index , Surveys and Questionnaires , United States/epidemiology , Young Adult
2.
Acad Emerg Med ; 18(2): 158-66, 2011 Feb.
Article in English | MEDLINE | ID: mdl-21314775

ABSTRACT

OBJECTIVES: The objective was to describe the emergency department (ED) resource burden of the spring 2009 H1N1 influenza pandemic at U.S. children's hospitals by quantifying observed-to-expected utilization. METHODS: The authors performed an ecologic analysis for April through July 2009 using data from 23 EDs in the Pediatric Health Information System (PHIS), an administrative database of widely distributed U.S. children's hospitals. All ED visits during the study period were included, and data from the 5 prior years were used for establishing expected values. Primary outcome measures included observed-to-expected ratios for ED visits for all reasons and for influenza-related illness (IRI). RESULTS: Overall, 390,983 visits, and 88,885 visits for IRI, were included for Calendar Weeks 16 through 29, when 2009 H1N1 influenza was circulating. The subset of 106,330 visits and 31,703 IRI visits made to the 14 hospitals experiencing the authors' definition of ED surge during Weeks 16 to 29 was also studied. During surge weeks, the 14 EDs experienced 29% more total visits and 51% more IRI visits than expected (p < 0.01 for both comparisons). Of ED IRI visits during surge weeks, only 4.8% were admitted to non-intensive care beds (70% of expected, p < 0.01), 0.19% were admitted to intensive care units (44% of expected, p < 0.01), and 0.01% received mechanical ventilation (5.0% of expected, p < 0.01). Factors associated with more-than-expected visits included ages 2-17 years, payer type, and asthma. No factors were associated with more-than-expected hospitalizations from the ED. CONCLUSIONS: During the spring 2009 H1N1 influenza pandemic, pediatric EDs nationwide experienced a marked increase in visits, with far fewer than expected requiring nonintensive or intensive care hospitalization. The data in this study can be used for future pandemic planning.


Subject(s)
Hospitalization/statistics & numerical data , Hospitals, Pediatric/statistics & numerical data , Influenza, Human/therapy , Adolescent , Child , Child, Preschool , Chronic Disease/epidemiology , Databases, Factual , Health Care Rationing , Humans , Infant , Infant, Newborn , Influenza A Virus, H1N1 Subtype , Influenza, Human/epidemiology , Male , Pandemics , Regression Analysis , Risk Factors , Severity of Illness Index , United States/epidemiology , Young Adult
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