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Jessica M Franklin

Biographic Data

ID5133767
NAMEJessica M Franklin
GIVEN NAMESJessica M
FAMILY NAMEFranklin
SIGNATUREFRANKLIN J M
AFFILIATIONSBrigham and Women's Hospital
ORCID0000-0002-8941-4116
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2017
H-INDEX0
  • Longitudinal Patterns of Spending Enhance the Ability to Predict Costly Patients

    Julie C Lauffenburger, Jessica M Franklin et al.•ARTICLE•Medical Care•2017•References: 33

    BACKGROUND: With rising health spending, predicting costs is essential to identify patients for interventions. Many of the existing approaches have moderate predictive ability, which may result, in part, from not considering potentially meaningful changes in spending over time. Group-based trajectory modeling could be used to classify patients into dynamic long-term spending patterns. OBJECTIVES: To classify patients by their spending patterns ov…

  • Response to the Comment on Evaluating Cardiovascular Health Disparities Using Estimated Race/Ethnicity

    Katsiaryna Bykov, Jessica M Franklin et al.•ARTICLE•Medical Care•2016

    Bykov, Katsiaryna PharmD, MS; Franklin, Jessica M. PhD; Choudhry, Niteesh K. MD, PhD Author Information

  • Equity in the Receipt of Oseltamivir in the United States During the H1N1 Pandemic

    Jessica M Franklin, Niteesh K Choudhry et al.•ARTICLE•American Journal of Public Health•2014•References: 14

    Objectives. We assessed the relationship between individual characteristics and receipt of oseltamivir (Tamiflu) in the United States during the H1N1 pandemic and other flu seasons. Methods. In a cohort of individuals enrolled in pharmacy benefit plans, we used a multivariate logistic regression model to measure associations between subscriber characteristics and filling a prescription for oseltamivir during 3 flu seasons (October 2006–May 2007, …

  • Did Hedis Get it Right? Evaluating the Quality of a Quality Measure

    Gabriel Sanfélix-Gimeno, Gabriel Sanfélix‐Gimeno et al.•ARTICLE•Medical Care•2014•References: 14

    BACKGROUND: As an example of the process that could be used to evaluate and optimize the performance of quality measures in routine practice, we evaluated whether the Healthcare Effectiveness Data and Information Set (HEDIS) measure assessing the "persistence of β-blocker treatment after a heart attack" correlates with post-myocardial infarction (MI) outcomes and whether or not there are alternative specifications of this construct which are bett…

  • Group-based Trajectory Models

    Jessica M Franklin, William H Shrank et al.•ARTICLE•Medical Care•2013•References: 13

    BACKGROUND: Classifying medication adherence is important for efficiently targeting adherence improvement interventions. The purpose of this study was to evaluate the use of a novel method, group-based trajectory models, for classifying patients by their long-term adherence. RESEARCH DESIGN: We identified patients who initiated a statin between June 1, 2006 and May 30, 2007 in prescription claims from CVS Caremark and evaluated adherence over the…

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  • Group-based Trajectory Models

    Jessica M Franklin, William H Shrank et al.•ARTICLE•Medical Care•2013•References: 13

    BACKGROUND: Classifying medication adherence is important for efficiently targeting adherence improvement interventions. The purpose of this study was to evaluate the use of a novel method, group-based trajectory models, for classifying patients by their long-term adherence. RESEARCH DESIGN: We identified patients who initiated a statin between June 1, 2006 and May 30, 2007 in prescription claims from CVS Caremark and evaluated adherence over the…

  • Equity in the Receipt of Oseltamivir in the United States During the H1N1 Pandemic

    Jessica M Franklin, Niteesh K Choudhry et al.•ARTICLE•American Journal of Public Health•2014•References: 14

    Objectives. We assessed the relationship between individual characteristics and receipt of oseltamivir (Tamiflu) in the United States during the H1N1 pandemic and other flu seasons. Methods. In a cohort of individuals enrolled in pharmacy benefit plans, we used a multivariate logistic regression model to measure associations between subscriber characteristics and filling a prescription for oseltamivir during 3 flu seasons (October 2006–May 2007, …

  • Did Hedis Get it Right? Evaluating the Quality of a Quality Measure

    Gabriel Sanfélix-Gimeno, Gabriel Sanfélix‐Gimeno et al.•ARTICLE•Medical Care•2014•References: 14

    BACKGROUND: As an example of the process that could be used to evaluate and optimize the performance of quality measures in routine practice, we evaluated whether the Healthcare Effectiveness Data and Information Set (HEDIS) measure assessing the "persistence of β-blocker treatment after a heart attack" correlates with post-myocardial infarction (MI) outcomes and whether or not there are alternative specifications of this construct which are bett…

  • Response to the Comment on Evaluating Cardiovascular Health Disparities Using Estimated Race/Ethnicity

    Katsiaryna Bykov, Jessica M Franklin et al.•ARTICLE•Medical Care•2016

    Bykov, Katsiaryna PharmD, MS; Franklin, Jessica M. PhD; Choudhry, Niteesh K. MD, PhD Author Information

  • Longitudinal Patterns of Spending Enhance the Ability to Predict Costly Patients

    Julie C Lauffenburger, Jessica M Franklin et al.•ARTICLE•Medical Care•2017•References: 33

    BACKGROUND: With rising health spending, predicting costs is essential to identify patients for interventions. Many of the existing approaches have moderate predictive ability, which may result, in part, from not considering potentially meaningful changes in spending over time. Group-based trajectory modeling could be used to classify patients into dynamic long-term spending patterns. OBJECTIVES: To classify patients by their spending patterns ov…

Medicine (5 works) · Internal Medicine (4 works) · Internal Medicine (4 works) · Demography (3 works) · Chronic Disease Management Strategies (2 works) · Computer Science (2 works) · Healthcare Policy and Management (2 works) · Logistic regression (2 works) · Medical prescription (2 works) · Medication Adherence and Compliance (2 works)

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