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Strategic planning to reduce the burden of stroke among veterans: using simulation modeling to inform decision making.
Lich, Kristen Hassmiller; Tian, Yuan; Beadles, Christopher A; Williams, Linda S; Bravata, Dawn M; Cheng, Eric M; Bosworth, Hayden B; Homer, Jack B; Matchar, David B.
Afiliação
  • Lich KH; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Tian Y; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Beadles CA; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Williams LS; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Bravata DM; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Cheng EM; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Bosworth HB; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Homer JB; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
  • Matchar DB; From the Department of Health Policy and Management, The University of North Carolina, Chapel Hill (K.H.L.); Program in Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore (Y.T., D.B.M.); Center for Health Services Research in Primary Care, Durham VAMC, NC (C.A.B., H.B.
Stroke ; 45(7): 2078-84, 2014 Jul.
Article em En | MEDLINE | ID: mdl-24923722
ABSTRACT
BACKGROUND AND

PURPOSE:

Reducing the burden of stroke is a priority for the Veterans Affairs Health System, reflected by the creation of the Veterans Affairs Stroke Quality Enhancement Research Initiative. To inform the initiative's strategic planning, we estimated the relative population-level impact and efficiency of distinct approaches to improving stroke care in the US Veteran population to inform policy and practice.

METHODS:

A System Dynamics stroke model of the Veteran population was constructed to evaluate the relative impact of 15 intervention scenarios including both broad and targeted primary and secondary prevention and acute care/rehabilitation on cumulative (20 years) outcomes including quality-adjusted life years (QALYs) gained, strokes prevented, stroke fatalities prevented, and the number-needed-to-treat per QALY gained.

RESULTS:

At the population level, a broad hypertension control effort yielded the largest increase in QALYs (35,517), followed by targeted prevention addressing hypertension and anticoagulation among Veterans with prior cardiovascular disease (27,856) and hypertension control among diabetics (23,100). Adjusting QALYs gained by the number of Veterans needed to treat, thrombolytic therapy with tissue-type plasminogen activator was most efficient, needing 3.1 Veterans to be treated per QALY gained. This was followed by rehabilitation (3.9) and targeted prevention addressing hypertension and anticoagulation among those with prior cardiovascular disease (5.1). Probabilistic sensitivity analysis showed that the ranking of interventions was robust to uncertainty in input parameter values.

CONCLUSIONS:

Prevention strategies tend to have larger population impacts, though interventions targeting specific high-risk groups tend to be more efficient in terms of number-needed-to-treat per QALY gained.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Simulação por Computador / Anos de Vida Ajustados por Qualidade de Vida / Acidente Vascular Cerebral / Saúde dos Veteranos / Planejamento em Saúde Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2014 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Veteranos / Simulação por Computador / Anos de Vida Ajustados por Qualidade de Vida / Acidente Vascular Cerebral / Saúde dos Veteranos / Planejamento em Saúde Tipo de estudo: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Humans País/Região como assunto: America do norte Idioma: En Ano de publicação: 2014 Tipo de documento: Article