Literature DB >> 25131156

Impact of a pharmacy benefit change on new use of mail order pharmacy among diabetes patients: the Diabetes Study of Northern California (DISTANCE).

Andrew J Karter1, Melissa M Parker, O Kenrik Duru, Dean Schillinger, Nancy E Adler, Howard H Moffet, Alyce S Adams, James Chan, Willam H Herman, Julie A Schmittdiel.   

Abstract

OBJECTIVE: To assess the impact of a pharmacy benefit change on mail order pharmacy (MOP) uptake. DATA SOURCES/STUDY
SETTING: Race-stratified, random sample of diabetes patients in an integrated health care delivery system. STUDY
DESIGN: In this natural experiment, we studied the impact of a pharmacy benefit change that conditionally discounted medications if patients used MOP and prepaid two copayments. We compared MOP uptake among those exposed to the benefit change (n = 2,442) and the reference group with no benefit change (n = 8,148), and estimated differential MOP uptake across social strata using a difference-in-differences framework. DATA COLLECTION/EXTRACTION
METHODS: Ascertained MOP uptake (initiation among previous nonusers). PRINCIPAL
FINDINGS: Thirty percent of patients started using MOP after receiving the benefit change versus 9 percent uptake among the reference group (p < .0001). After adjustment, there was a 26 percentage point greater MOP uptake (benefit change effect). This benefit change effect was significantly smaller among patients with inadequate health literacy (15 percent less), limited English proficiency (14 percent less), and among Latinos and Asians (24 and 16 percent less compared to Caucasians).
CONCLUSIONS: Conditionally discounting medications delivered by MOP effectively stimulated MOP uptake overall, but it unintentionally widened previously existing social gaps in MOP use because it stimulated less MOP uptake in vulnerable populations. © Health Research and Educational Trust.

Entities:  

Keywords:  Mail order pharmacy; comparative effectiveness; difference-in-differences; health disparities; inverse probability treatment weighting; marginal structural model; pharmacy benefit designs

Mesh:

Substances:

Year:  2014        PMID: 25131156      PMCID: PMC4329275          DOI: 10.1111/1475-6773.12223

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


  25 in total

1.  What physicians need to know about seniors and limited prescription benefits, and why.

Authors:  T Chien-Wen; R L Phillips; L A Green; G E Fryer; S M Dovey
Journal:  Am Fam Physician       Date:  2002-07-15       Impact factor: 3.292

2.  A modified poisson regression approach to prospective studies with binary data.

Authors:  Guangyong Zou
Journal:  Am J Epidemiol       Date:  2004-04-01       Impact factor: 4.897

3.  Cohort Profile: The Diabetes Study of Northern California (DISTANCE)--objectives and design of a survey follow-up study of social health disparities in a managed care population.

Authors:  Howard H Moffet; Nancy Adler; Dean Schillinger; Ameena T Ahmed; Barbara Laraia; Joe V Selby; Romain Neugebauer; Jennifer Y Liu; Melissa M Parker; Margaret Warton; Andrew J Karter
Journal:  Int J Epidemiol       Date:  2008-03-07       Impact factor: 7.196

4.  A modified least-squares regression approach to the estimation of risk difference.

Authors:  Yin Bun Cheung
Journal:  Am J Epidemiol       Date:  2007-09-12       Impact factor: 4.897

5.  A comparison of diabetes medication adherence and healthcare costs in patients using mail order pharmacy and retail pharmacy.

Authors:  Scott Devine; Anna Vlahiotis; Heather Sundar
Journal:  J Med Econ       Date:  2010       Impact factor: 2.448

6.  Mail-order pharmacy use and adherence to diabetes-related medications.

Authors:  O Kenrik Duru; Julie A Schmittdiel; Wendy T Dyer; Melissa M Parker; Connie S Uratsu; James Chan; Andrew J Karter
Journal:  Am J Manag Care       Date:  2010-01       Impact factor: 2.229

7.  Association of numeracy and diabetes control.

Authors:  Kerri Cavanaugh; Mary Margaret Huizinga; Kenneth A Wallston; Tebeb Gebretsadik; Ayumi Shintani; Dianne Davis; Rebecca Pratt Gregory; Lynn Fuchs; Robb Malone; Andrea Cherrington; Michael Pignone; Darren A DeWalt; Tom A Elasy; Russell L Rothman
Journal:  Ann Intern Med       Date:  2008-05-20       Impact factor: 25.391

8.  Safety and effectiveness of mail order pharmacy use in diabetes.

Authors:  Julie A Schmittdiel; Andrew J Karter; Wendy T Dyer; James Chan; O Kenrick Duru
Journal:  Am J Manag Care       Date:  2013-11       Impact factor: 2.229

9.  Perspective: the role of numeracy in health care.

Authors:  Russell L Rothman; Victor M Montori; Andrea Cherrington; Michael P Pignone
Journal:  J Health Commun       Date:  2008-09

10.  Racial differences in long-term adherence to oral antidiabetic drug therapy: a longitudinal cohort study.

Authors:  Connie M Trinacty; Alyce S Adams; Stephen B Soumerai; Fang Zhang; James B Meigs; John D Piette; Dennis Ross-Degnan
Journal:  BMC Health Serv Res       Date:  2009-02-07       Impact factor: 2.655

View more
  9 in total

1.  The Intersections Between Social Determinants of Health, Health Literacy, and Health Disparities.

Authors:  Dean Schillinger
Journal:  Stud Health Technol Inform       Date:  2020-06-25

2.  Validity of a Computational Linguistics-Derived Automated Health Literacy Measure Across Race/Ethnicity: Findings from The ECLIPPSE Project.

Authors:  Dean Schillinger; Renu Balyan; Scott Crossley; Danielle McNamara; Andrew Karter
Journal:  J Health Care Poor Underserved       Date:  2021-05

Review 3.  Social Determinants, Health Literacy, and Disparities: Intersections and Controversies.

Authors:  Dean Schillinger
Journal:  Health Lit Res Pract       Date:  2021-08-07

4.  The effect of mail order pharmacy outreach on older patients with diabetes.

Authors:  Chelsea Gong; Wendy Dyer; Maher Yassin; Romain Neugebauer; Andrew J Karter; Julie A Schmittdiel
Journal:  J Am Geriatr Soc       Date:  2021-03-26       Impact factor: 7.538

5.  Opportunities to encourage mail order pharmacy delivery service use for diabetes prescriptions: a qualitative study.

Authors:  Julie A Schmittdiel; Cassondra J Marshall; Deanne Wiley; Christopher V Chau; Connie M Trinacty; J Frank Wharam; O Kenrik Duru; Andrew J Karter; Susan D Brown
Journal:  BMC Health Serv Res       Date:  2019-06-25       Impact factor: 2.655

6.  Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study.

Authors:  Renu Balyan; Scott A Crossley; William Brown; Andrew J Karter; Danielle S McNamara; Jennifer Y Liu; Courtney R Lyles; Dean Schillinger
Journal:  PLoS One       Date:  2019-02-22       Impact factor: 3.240

7.  Association Between Cost-Saving Prescription Policy Changes and Adherence to Chronic Disease Medications: an Observational Study.

Authors:  Nancy Haff; Thomas D Sequist; Teresa B Gibson; Richele Benevent; Ellen S Sears; Sreekanth Chaguturu; Julie C Lauffenburger
Journal:  J Gen Intern Med       Date:  2021-07-30       Impact factor: 5.128

8.  Developing and Testing Automatic Models of Patient Communicative Health Literacy Using Linguistic Features: Findings from the ECLIPPSE study.

Authors:  Scott A Crossley; Renu Balyan; Jennifer Liu; Andrew J Karter; Danielle McNamara; Dean Schillinger
Journal:  Health Commun       Date:  2020-03-02

9.  Employing computational linguistics techniques to identify limited patient health literacy: Findings from the ECLIPPSE study.

Authors:  Dean Schillinger; Renu Balyan; Scott A Crossley; Danielle S McNamara; Jennifer Y Liu; Andrew J Karter
Journal:  Health Serv Res       Date:  2020-09-23       Impact factor: 3.734

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.