Literature DB >> 24255074

Patient-centered medical homes and oral anticoagulation therapy initiation.

Christopher A Beadles1, Kristen Hassmiller Lich, Anthony J Viera, Sandra B Greene, M Alan Brookhart, Morris Weinberger.   

Abstract

Despite evidence-based guidelines, oral anticoagulation therapy (OAT) initiation is low among incident atrial fibrillation (AF) patients. Patient-centered medical homes (PCMHs) may increase access, quality, and value through coordinating care. As such, PCMHs hold potential for improving OAT initiation among AF patients. We estimated the effect of receiving care in accredited PCMHs on OAT initiation for incident AF patients compared with those not receiving care in accredited PCMHs. Our study, a retrospective cohort new user design, included privately insured patients in North Carolina during years 2006 to 2010. We developed propensity scores for PCMH exposure, performed inverse probability of treatment weighting, and estimated effects with generalized estimating equations. We found a positive association between PCMH exposure and OAT initiation in unadjusted (6.78%; p < .001) and adjusted (6.25%; p < .001) models. Greater implementation and optimization of PCMH model principles may enhance this association, reducing AF-related stroke morbidity and mortality.

Entities:  

Keywords:  anticoagulation; atrial fibrillation; guideline adherence; patient-centered care

Mesh:

Substances:

Year:  2013        PMID: 24255074     DOI: 10.1177/1077558713510563

Source DB:  PubMed          Journal:  Med Care Res Rev        ISSN: 1077-5587            Impact factor:   3.929


  2 in total

1.  Predictors of gastrointestinal bleeding among patients with atrial fibrillation after initiating dabigatran therapy.

Authors:  Julie C Lauffenburger; Denise H Rhoney; Joel F Farley; Anil K Gehi; Gang Fang
Journal:  Pharmacotherapy       Date:  2015-06-04       Impact factor: 4.705

Review 2.  Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies.

Authors:  Peter C Austin; Elizabeth A Stuart
Journal:  Stat Med       Date:  2015-08-03       Impact factor: 2.373

  2 in total

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