Literature DB >> 19500161

New prescription medication gaps: a comprehensive measure of adherence to new prescriptions.

Andrew J Karter1, Melissa M Parker, Howard H Moffet, Ameena T Ahmed, Julie A Schmittdiel, Joe V Selby.   

Abstract

OBJECTIVE: Describe a novel approach to comprehensively summarize medication adherence. DATA SOURCES/STUDY
SETTING: Kaiser Permanente Northern California Diabetes Registry (n approximately 220,000) STUDY
DESIGN: In a new prescription cohort design (27,329 subjects prescribed new medications), we used pharmacy utilization data to estimate adherence during 24 months follow-up. Proportion of time without sufficient medications (medication gaps) was estimated using a novel measure (New Prescription Medication Gaps [NPMG]) and compared with a traditional measure of adherence. DATA COLLECTION/EXTRACTION
METHODS: Data derived from electronic medical records and survey responses. PRINCIPAL
FINDINGS: Twenty-two percent of patients did not become ongoing users (had zero or only one dispensing of the new prescription). The proportion of newly prescribed patients that never became ongoing users was eightfold greater than the proportion who maintained ongoing use, but with inadequate adherence. Four percent of those with at least two dispensings discontinued therapy during the 24 months follow-up. NPMG was significantly associated with high out-of-pocket costs, self-reported adherence, and clinical response to therapy.
CONCLUSIONS: NPMG is a valid adherence measure. Findings also suggest a larger burden of inadequate adherence than previously thought. Public health efforts have traditionally focused on improving adherence in ongoing users; clearly more attention is needed to address nonpersistence in the very first stages after a new medication is prescribed.

Entities:  

Mesh:

Year:  2009        PMID: 19500161      PMCID: PMC2754552          DOI: 10.1111/j.1475-6773.2009.00989.x

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


  32 in total

1.  Developing a prediction rule from automated clinical databases to identify high-risk patients in a large population with diabetes.

Authors:  J V Selby; A J Karter; L M Ackerson; A Ferrara; J Liu
Journal:  Diabetes Care       Date:  2001-09       Impact factor: 19.112

2.  Adherence to prescribed oral hypoglycaemic medication in a population of patients with Type 2 diabetes: a retrospective cohort study.

Authors:  P T Donnan; T M MacDonald; A D Morris
Journal:  Diabet Med       Date:  2002-04       Impact factor: 4.359

3.  Ethnic disparities in diabetic complications in an insured population.

Authors:  Andrew J Karter; Assiamira Ferrara; Jennifer Y Liu; Howard H Moffet; Lynn M Ackerson; Joe V Selby
Journal:  JAMA       Date:  2002-05-15       Impact factor: 56.272

Review 4.  A systematic review of adherence with medications for diabetes.

Authors:  Joyce A Cramer
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

5.  Adherence with statin therapy in elderly patients with and without acute coronary syndromes.

Authors:  Cynthia A Jackevicius; Muhammad Mamdani; Jack V Tu
Journal:  JAMA       Date:  2002 Jul 24-31       Impact factor: 56.272

6.  Long-term persistence in use of statin therapy in elderly patients.

Authors:  Joshua S Benner; Robert J Glynn; Helen Mogun; Peter J Neumann; Milton C Weinstein; Jerry Avorn
Journal:  JAMA       Date:  2002 Jul 24-31       Impact factor: 56.272

7.  United Kingdom Prospective Diabetes Study (UKPDS). 13: Relative efficacy of randomly allocated diet, sulphonylurea, insulin, or metformin in patients with newly diagnosed non-insulin dependent diabetes followed for three years.

Authors: 
Journal:  BMJ       Date:  1995-01-14

8.  Patient adherence and medical treatment outcomes: a meta-analysis.

Authors:  M Robin DiMatteo; Patrick J Giordani; Heidi S Lepper; Thomas W Croghan
Journal:  Med Care       Date:  2002-09       Impact factor: 2.983

9.  A general method of compliance assessment using centralized pharmacy records. Description and validation.

Authors:  J F Steiner; T D Koepsell; S D Fihn; T S Inui
Journal:  Med Care       Date:  1988-08       Impact factor: 2.983

10.  Evaluating medication effects outside of clinical trials: new-user designs.

Authors:  Wayne A Ray
Journal:  Am J Epidemiol       Date:  2003-11-01       Impact factor: 4.897

View more
  78 in total

1.  Primary non-adherence to prescribed medications.

Authors:  Andrew J Karter; Melissa M Parker; Alyce S Adams; Howard H Moffet; Julie A Schmittdiel; Ameena T Ahmed; Joe V Selby
Journal:  J Gen Intern Med       Date:  2010-08       Impact factor: 5.128

Review 2.  The role of comfort and discomfort in insulin therapy.

Authors:  Ronnie Aronson
Journal:  Diabetes Technol Ther       Date:  2012-04-26       Impact factor: 6.118

3.  Cost-effectiveness of an electronic medical record based clinical decision support system.

Authors:  Todd P Gilmer; Patrick J O'Connor; JoAnn M Sperl-Hillen; William A Rush; Paul E Johnson; Gerald H Amundson; Stephen E Asche; Heidi L Ekstrom
Journal:  Health Serv Res       Date:  2012-05-11       Impact factor: 3.402

4.  e-Care for heart wellness: a feasibility trial to decrease blood pressure and cardiovascular risk.

Authors:  Beverly B Green; Melissa L Anderson; Andrea J Cook; Sheryl Catz; Paul A Fishman; Jennifer B McClure; Robert J Reid
Journal:  Am J Prev Med       Date:  2014-04       Impact factor: 5.043

5.  Research and reform: toward a high-value health system.

Authors:  Michael Chernew
Journal:  Health Serv Res       Date:  2009-10       Impact factor: 3.402

6.  Identifying patients with cost-related medication non-adherence: a big-data approach.

Authors:  James X Zhang; David O Meltzer
Journal:  J Med Econ       Date:  2016-04-15       Impact factor: 2.448

7.  An algorithm to identify medication nonpersistence using electronic pharmacy databases.

Authors:  Melissa M Parker; Howard H Moffet; Alyce Adams; Andrew J Karter
Journal:  J Am Med Inform Assoc       Date:  2015-06-15       Impact factor: 4.497

8.  Health system factors and antihypertensive adherence in a racially and ethnically diverse cohort of new users.

Authors:  Alyce S Adams; Connie Uratsu; Wendy Dyer; David Magid; Patrick O'Connor; Arne Beck; Melissa Butler; P Michael Ho; Julie A Schmittdiel
Journal:  JAMA Intern Med       Date:  2013-01-14       Impact factor: 21.873

9.  Medication Adherence Does Not Explain Black-White Differences in Cardiometabolic Risk Factor Control among Insured Patients with Diabetes.

Authors:  Jennifer Elston Lafata; Andrew J Karter; Patrick J O'Connor; Heather Morris; Julie A Schmittdiel; Scott Ratliff; Katherine M Newton; Marsha A Raebel; Ram D Pathak; Abraham Thomas; Melissa G Butler; Kristi Reynolds; Beth Waitzfelder; John F Steiner
Journal:  J Gen Intern Med       Date:  2016-02       Impact factor: 5.128

10.  Barriers to insulin initiation: the translating research into action for diabetes insulin starts project.

Authors:  Andrew J Karter; Usha Subramanian; Chandan Saha; Jesse C Crosson; Melissa M Parker; Bix E Swain; Howard H Moffet; David G Marrero
Journal:  Diabetes Care       Date:  2010-01-19       Impact factor: 17.152

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.