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    Date Issued2014 (1)2004 (1)Author
    Reiber, Gayle E. (2)
    Anderson, Stephen M. (1)Au, David H. (1)Baczek, Linda A. (1)Bradley, Katharine A. (1)View MoreUMass Chan AffiliationDepartment of Quantitative Health Sciences (2)Document TypeJournal Article (2)Keyword*Health Status (1)*Patient Satisfaction (1)*Primary Health Care (1)Aged (1)Bioinformatics (1)View MoreJournalJournal of women's health (2002) (1)The American journal of medicine (1)

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    Gestational Diabetes and Hypertensive Disorders of Pregnancy Among Women Veterans Deployed in Service of Operations in Afghanistan and Iraq

    Katon, Jodie; Mattocks, Kristin M.; Zephyrin, Laurie; Reiber, Gayle E.; Yano, Elizabeth M.; Callegari, Lisa; Schwarz, Eleanor Bimla; Goulet, Joseph L.; Shaw, Jonathan; Brandt, Cynthia A.; et al. (Mary Ann Liebert, Inc., 2014-08-04)
    Objective: To determine the prevalence of gestational diabetes (GDM) and hypertensive disorders of pregnancy (HDP) among women Veterans using Department of Veterans Affairs (VA) maternity benefits previously deployed in service of Operation Enduring Freedom/Operation Iraqi Freedom/Operation New Dawn (OEF/OIF/OND), and whether pregnancy complications were associated with VA use following delivery. Methods: We identified the study population through linkage with the Department of Defense roster and VA administrative and clinical data. GDM and HDP were identified by International Classification of Diseases, Ninth Revision codes in VA inpatient or outpatient files. Similarly, we constructed a nationally representative sample of deliveries from the Nationwide Inpatient Sample. We calculated standardized incidence ratios (SIR) adjusted for age and year of delivery to compare rates of GDM and HDP. Proportional hazards regression was used to determine whether pregnancy complications were associated with use of VA following delivery. Results: Between 2001 and 2010, 2,288 women OEF/OIF/OND Veterans used VA maternity benefits; 5.2% had GDM and 9.6% had HDP. Compared with women delivering in the United States, women OEF/OIF/OND Veterans using VA maternity benefits had higher risk of developing GDM (SIR: 1.40; 95% confidence interval [CI] 1.16, 1.68) and HDP (SIR: 1.32; 95% CI 1.15, 1.51). Among women OEF/OIF/OND Veterans using VA maternity benefits, GDM (HR 1.01, 95% CI 0.83, 1.24) and HDP (HR 1.07, 95% CI 0.92, 1.25) were not associated with use of VA following delivery. Conclusions: Non-VA providers should be aware of their patients' Veteran status and the associated elevated risk for pregnancy complications. Within VA, focused efforts to optimize Veterans' preconception and postpartum health are needed.
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    Effects of sustained audit/feedback on self-reported health status of primary care patients

    Fihn, Stephan D.; McDonell, Mary B.; Diehr, Paula; Anderson, Stephen M.; Bradley, Katharine A.; Au, David H.; Spertus, John A.; Burman, Marcia; Reiber, Gayle E.; Kiefe, Catarina I.; et al. (2004-02-19)
    PURPOSE: Because limited audit/feedback of health status information has yielded mixed results, we evaluated the effects of a sustained program of audit/feedback on patient health and satisfaction. METHODS: We conducted a group-randomized effectiveness trial in which firms within Veterans Administration general internal medicine clinics served as units of randomization, intervention, and analysis. Respondents to a baseline health inventory were regularly mailed the 36-Item Short Form (SF-36) and, as relevant, questionnaires about six chronic conditions (ischemic heart disease, diabetes, chronic obstructive pulmonary disease, depression, alcohol use, and hypertension) and satisfaction with care. Data were reported to primary providers at individual patient visits and in aggregate during a 2-year period. RESULTS: Baseline forms were mailed to 34,050 patients; of the 22,413 respondents, 15,346 completed and returned follow-up surveys. Over the 2-year study, the difference between intervention and control groups (as measured by difference in average slope) was -0.26 (95% confidence interval [CI]: -0.79 to 0.27; P=0.28) for the SF-36 Physical Component Summary score and -0.53 (95% CI: -1.09 to 0.03; P=0.06) for the SF-36 Mental Component Summary score. No significant differences emerged after adjusting for deaths. There were no significant differences in condition-specific measures or satisfaction between groups after adjustment for provider type, panel size, and number of intervention visits, or after analysis of patients who completed all forms. CONCLUSION: An elaborate, sustained audit/feedback program of general and condition-specific measures of health/satisfaction did not improve outcomes. To be effective, such data probably should be incorporated into a comprehensive chronic disease management program.
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