Comparison of Approaches for Measuring Adherence and Persistence to Oral Oncologic Therapies in Patients Diagnosed with Metastatic Renal Cell Carcinoma

Adherence and persistence studies face several methodologic difficulties, including short-term mortality. We compared approaches to quantify adherence and persistence to first line (1L) oral targeted therapy (TT) in patients diagnosed with metastatic renal cell carcinoma (mRCC). Patients with mRCC a...

Full description

Saved in:
Bibliographic Details
Published in:Cancer epidemiology, biomarkers & prevention Vol. 31; no. 4; pp. 893 - 899
Main Authors: Chun, Danielle S, Hicks, Blánaid, Hinton, Sharon Peacock, Funk, Michele Jonsson, Gooden, Kyna, Keil, Alexander P, Tan, Hung-Jui, Stürmer, Til, Lund, Jennifer L
Format: Journal Article
Language:English
Published: United States 01-04-2022
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Abstract Adherence and persistence studies face several methodologic difficulties, including short-term mortality. We compared approaches to quantify adherence and persistence to first line (1L) oral targeted therapy (TT) in patients diagnosed with metastatic renal cell carcinoma (mRCC). Patients with mRCC ages 66 years or more who initiated TTs within 4 months of diagnosis were identified in the Surveillance, Epidemiology, and End Results Medicare-linked database (2007-2015). Adherence [proportion of days covered (PDC) >80%] was calculated using (i) PDC with a fixed 6-month denominator including then excluding patients who died within the 6 months and (ii) PDC with a denominator measuring time on treatment. Risk of nonpersistence was obtained by censoring death or treating death as a competing risk using cumulative incidence functions. Among 485 patients with mRCC initiating a 1L oral TT (sunitinib, 64%; pazopanib, 25%; other, 11%), 40% died within 6 months. Adherence was higher after restricting to patients who survived (60%) compared with including those patients and assigning zero days covered after death (47%). Risk of nonpersistence was higher when censoring patients at death, 0.91 [95% confidence interval (CI), 0.88-0.94], compared with treating death as a competing risk, 0.75 (95% CI, 0.71-0.79). Different approaches to handling death resulted in different adherence and persistence estimates in the metastatic setting. Future studies should explicitly report the proportion of patient deaths over time and explore appropriate methods to account for death as competing risk. Use of several approaches can provide a more comprehensive picture of medication-taking behavior in the metastatic setting where death is a major competing risk.
AbstractList Adherence and persistence studies face several methodologic difficulties, including short-term mortality. We compared approaches to quantify adherence and persistence to first line (1L) oral targeted therapy (TT) in patients diagnosed with metastatic renal cell carcinoma (mRCC). Patients with mRCC ages 66 years or more who initiated TTs within 4 months of diagnosis were identified in the Surveillance, Epidemiology, and End Results Medicare-linked database (2007-2015). Adherence [proportion of days covered (PDC) >80%] was calculated using (i) PDC with a fixed 6-month denominator including then excluding patients who died within the 6 months and (ii) PDC with a denominator measuring time on treatment. Risk of nonpersistence was obtained by censoring death or treating death as a competing risk using cumulative incidence functions. Among 485 patients with mRCC initiating a 1L oral TT (sunitinib, 64%; pazopanib, 25%; other, 11%), 40% died within 6 months. Adherence was higher after restricting to patients who survived (60%) compared with including those patients and assigning zero days covered after death (47%). Risk of nonpersistence was higher when censoring patients at death, 0.91 [95% confidence interval (CI), 0.88-0.94], compared with treating death as a competing risk, 0.75 (95% CI, 0.71-0.79). Different approaches to handling death resulted in different adherence and persistence estimates in the metastatic setting. Future studies should explicitly report the proportion of patient deaths over time and explore appropriate methods to account for death as competing risk. Use of several approaches can provide a more comprehensive picture of medication-taking behavior in the metastatic setting where death is a major competing risk.
BACKGROUNDAdherence and persistence studies face several methodologic difficulties, including short-term mortality. We compared approaches to quantify adherence and persistence to first line (1L) oral targeted therapy (TT) in patients diagnosed with metastatic renal cell carcinoma (mRCC).METHODSPatients with mRCC ages 66 years or more who initiated TTs within 4 months of diagnosis were identified in the Surveillance, Epidemiology, and End Results Medicare-linked database (2007-2015). Adherence [proportion of days covered (PDC) >80%] was calculated using (i) PDC with a fixed 6-month denominator including then excluding patients who died within the 6 months and (ii) PDC with a denominator measuring time on treatment. Risk of nonpersistence was obtained by censoring death or treating death as a competing risk using cumulative incidence functions.RESULTSAmong 485 patients with mRCC initiating a 1L oral TT (sunitinib, 64%; pazopanib, 25%; other, 11%), 40% died within 6 months. Adherence was higher after restricting to patients who survived (60%) compared with including those patients and assigning zero days covered after death (47%). Risk of nonpersistence was higher when censoring patients at death, 0.91 [95% confidence interval (CI), 0.88-0.94], compared with treating death as a competing risk, 0.75 (95% CI, 0.71-0.79).CONCLUSIONSDifferent approaches to handling death resulted in different adherence and persistence estimates in the metastatic setting. Future studies should explicitly report the proportion of patient deaths over time and explore appropriate methods to account for death as competing risk.IMPACTUse of several approaches can provide a more comprehensive picture of medication-taking behavior in the metastatic setting where death is a major competing risk.
Author Keil, Alexander P
Lund, Jennifer L
Stürmer, Til
Hinton, Sharon Peacock
Gooden, Kyna
Chun, Danielle S
Hicks, Blánaid
Funk, Michele Jonsson
Tan, Hung-Jui
Author_xml – sequence: 1
  givenname: Danielle S
  orcidid: 0000-0001-5913-9195
  surname: Chun
  fullname: Chun, Danielle S
  organization: Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
– sequence: 2
  givenname: Blánaid
  orcidid: 0000-0002-5730-9469
  surname: Hicks
  fullname: Hicks, Blánaid
  organization: Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland
– sequence: 3
  givenname: Sharon Peacock
  surname: Hinton
  fullname: Hinton, Sharon Peacock
  organization: Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
– sequence: 4
  givenname: Michele Jonsson
  orcidid: 0000-0002-3756-7540
  surname: Funk
  fullname: Funk, Michele Jonsson
  organization: Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
– sequence: 5
  givenname: Kyna
  surname: Gooden
  fullname: Gooden, Kyna
  organization: Bristol Meyers Squibb, Princeton Pike, New Jersey
– sequence: 6
  givenname: Alexander P
  orcidid: 0000-0002-0955-6107
  surname: Keil
  fullname: Keil, Alexander P
  organization: Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
– sequence: 7
  givenname: Hung-Jui
  surname: Tan
  fullname: Tan, Hung-Jui
  organization: Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
– sequence: 8
  givenname: Til
  orcidid: 0000-0002-9204-7177
  surname: Stürmer
  fullname: Stürmer, Til
  organization: Department of Epidemiology, University of North Carolina, Chapel Hill, North Carolina
– sequence: 9
  givenname: Jennifer L
  orcidid: 0000-0002-1108-0689
  surname: Lund
  fullname: Lund, Jennifer L
  organization: Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, North Carolina
BackLink https://www.ncbi.nlm.nih.gov/pubmed/35064061$$D View this record in MEDLINE/PubMed
BookMark eNo9UctOwzAQtBCIUuATQD5yCdhOnMexKgUqgVohOFsbZ9MaNXawUyG-hN_FBcrF3pVnZtczY3JonUVCLji75lyWN5xJmVRVLq9ny3kieMLSjB-QEy7TMikKKQ9jvceMyDiEN8ZYUUl5TEapZHnGcn5Cvqau68Gb4Cx1LZ30vXeg1xho6zx9Qghbb-yKTpo1erQaKdiGLtEHE4affnB04WFDF1a7jVsZTV8iFHoTNYylSxgM2iHQWwMr6wI29MMM6yg9QBjio6bPaCN_ipt4gNfGug7OyFELm4Dnf_cpeb2bvUwfksfF_Xw6eUy04BVP6ratY4XYaMY4NpiyOmd1LRrBqqqVZSYgK6DkQqeNBkQAyMpCYslSXpQyPSVXv7rx3-9bDIPqTNBxFbDotkGJXAhRcplnESp_odq7EDy2qvemA_-pOFO7TNTOb7XzW8VMlOBql0nkXf6N2NYdNv-sfQjpN_c7jGA
Cites_doi 10.1186/1471-2407-12-474
10.1634/theoncologist.2013-0359
10.1634/theoncologist.2015-0405
10.1634/theoncologist.6-suppl_4-12
10.1007/s10549-012-1961-4
10.1007/s10549-018-4890-z
10.1016/j.soncn.2011.02.002
10.1016/j.jclinepi.2010.10.004
10.1186/1471-2407-11-129
10.1097/COC.0b013e3182436ec1
10.1038/sj.bjc.6604201
10.1007/s00520-012-1397-8
10.1007/s40273-017-0597-y
10.1007/s40471-014-0027-z
10.1002/pds.3719
10.1007/s12325-017-0628-2
10.1185/03007990903126833
10.1093/aje/kwaa086
10.1200/JCO.1997.15.1.110
10.6004/jnccn.2017.0100
10.1200/JCO.2016.68.2807
10.1177/1060028016634106
10.6004/jnccn.2018.7098
10.6004/jnccn.2008.2003
10.1111/ecc.12124
10.1111/bcp.12734
10.1155/2015/217047
10.1097/COC.0000000000000351
10.2147/PPA.S136890
ContentType Journal Article
Copyright 2022 American Association for Cancer Research.
Copyright_xml – notice: 2022 American Association for Cancer Research.
DBID CGR
CUY
CVF
ECM
EIF
NPM
AAYXX
CITATION
7X8
DOI 10.1158/1055-9965.EPI-21-0341
DatabaseName Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
CrossRef
MEDLINE - Academic
DatabaseTitle MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
CrossRef
MEDLINE - Academic
DatabaseTitleList MEDLINE
MEDLINE - Academic
Database_xml – sequence: 1
  dbid: ECM
  name: MEDLINE
  url: https://search.ebscohost.com/login.aspx?direct=true&db=cmedm&site=ehost-live
  sourceTypes: Index Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 1538-7755
EndPage 899
ExternalDocumentID 10_1158_1055_9965_EPI_21_0341
35064061
Genre Research Support, Non-U.S. Gov't
Journal Article
GeographicLocations United States
GeographicLocations_xml – name: United States
GrantInformation_xml – fundername: Cancer Research UK
  grantid: 22185
GroupedDBID ---
18M
29B
2FS
2WC
34G
39C
53G
5GY
5VS
6J9
ABOCM
ACPRK
ADBBV
ADCOW
AENEX
AFHIN
AFRAH
ALMA_UNASSIGNED_HOLDINGS
BR6
BTFSW
CGR
CS3
CUY
CVF
DIK
DU5
E3Z
EBS
ECM
EIF
EJD
F5P
FRP
IH2
KQ8
L7B
NPM
OK1
P2P
PQQKQ
QTD
RCR
RHF
RHI
SJN
W8F
WOQ
AAYXX
CITATION
7X8
ID FETCH-LOGICAL-c2191-bffbc21eedc001ede30b60bb2d2099f5842a47a812c3dcaeeaaa4875e80317853
ISSN 1055-9965
IngestDate Sat Aug 17 04:00:13 EDT 2024
Thu Nov 21 20:50:49 EST 2024
Sat Nov 02 12:28:58 EDT 2024
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Language English
License 2022 American Association for Cancer Research.
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c2191-bffbc21eedc001ede30b60bb2d2099f5842a47a812c3dcaeeaaa4875e80317853
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ORCID 0000-0002-5730-9469
0000-0001-5913-9195
0000-0002-3756-7540
0000-0002-1108-0689
0000-0002-0955-6107
0000-0002-9204-7177
OpenAccessLink https://aacrjournals.org/cebp/article-pdf/31/4/893/3116171/893.pdf
PMID 35064061
PQID 2622281564
PQPubID 23479
PageCount 7
ParticipantIDs proquest_miscellaneous_2622281564
crossref_primary_10_1158_1055_9965_EPI_21_0341
pubmed_primary_35064061
PublicationCentury 2000
PublicationDate 2022-04-01
20220401
PublicationDateYYYYMMDD 2022-04-01
PublicationDate_xml – month: 04
  year: 2022
  text: 2022-04-01
  day: 01
PublicationDecade 2020
PublicationPlace United States
PublicationPlace_xml – name: United States
PublicationTitle Cancer epidemiology, biomarkers & prevention
PublicationTitleAlternate Cancer Epidemiol Biomarkers Prev
PublicationYear 2022
References Borner (2022061002244786200_bib3) 2001; 6
Barton (2022061002244786200_bib9) 2011; 27
(2022061002244786200_bib16) 2018
Farias (2022061002244786200_bib33) 2018; 41
Weaver (2022061002244786200_bib36) 2013; 36
Karve (2022061002244786200_bib21) 2009; 25
Weingart (2022061002244786200_bib5) 2008; 6
Cox (2022061002244786200_bib26) 1972; 34
Vogelzang (2022061002244786200_bib38) 2017; 34
Centers for Medicare and Medicad Services (2022061002244786200_bib23) 2017
Miller (2022061002244786200_bib37) 2016; 22
Bjarnadottir (2022061002244786200_bib14) 2018; 36
Gagne (2022061002244786200_bib25) 2011; 64
Nau (2022061002244786200_bib19) 2012
Cole (2022061002244786200_bib29) 2020; 189
Funk (2022061002244786200_bib30) 2014; 1
Jacobs (2022061002244786200_bib10) 2019; 17
Barillet (2022061002244786200_bib15) 2015; 80
(2022061002244786200_bib17) 2018
Hurria (2022061002244786200_bib11) 2008; 98
Arnet (2022061002244786200_bib12) 2016; 50
Schott (2022061002244786200_bib8) 2011; 11
Wulaningsih (2022061002244786200_bib32) 2018; 172
Bassan (2022061002244786200_bib2) 2014; 23
Geynisman (2022061002244786200_bib1) 2013; 15
Wigertz (2022061002244786200_bib31) 2012; 133
Sperber (2022061002244786200_bib20) 2017; 11
Liu (2022061002244786200_bib4) 1997; 15
Farias (2022061002244786200_bib35) 2017; 35
Faurot (2022061002244786200_bib24) 2015; 24
Teuffel (2022061002244786200_bib6) 2012; 20
Aalen (2022061002244786200_bib27) 1978; 5
Greer (2022061002244786200_bib28) 2016; 21
Oberguggenberger (2022061002244786200_bib34) 2012; 12
Lam (2022061002244786200_bib13) 2015; 2015
Wang (2022061002244786200_bib18) 2013
Beusterien (2022061002244786200_bib7) 2014; 19
Motzer (2022061002244786200_bib22) 2017; 15
References_xml – volume: 12
  start-page: 474
  year: 2012
  ident: 2022061002244786200_bib34
  article-title: Adherence evaluation of endocrine treatment in breast cancer: methodological aspects
  publication-title: BMC Cancer
  doi: 10.1186/1471-2407-12-474
  contributor:
    fullname: Oberguggenberger
– volume: 19
  start-page: 127
  year: 2014
  ident: 2022061002244786200_bib7
  article-title: Use of conjoint analysis to assess breast cancer patient preferences for chemotherapy side effects
  publication-title: Oncologist
  doi: 10.1634/theoncologist.2013-0359
  contributor:
    fullname: Beusterien
– volume: 21
  start-page: 354
  year: 2016
  ident: 2022061002244786200_bib28
  article-title: A systematic review of adherence to oral antineoplastic therapies
  publication-title: Oncologist
  doi: 10.1634/theoncologist.2015-0405
  contributor:
    fullname: Greer
– volume: 5
  start-page: 141
  year: 1978
  ident: 2022061002244786200_bib27
  article-title: Empirical transition matrix for nonhomogeneous markov-chains based on censored observations
  publication-title: Scand J Stat
  contributor:
    fullname: Aalen
– volume: 6
  start-page: 12
  year: 2001
  ident: 2022061002244786200_bib3
  article-title: Answering patients' needs: oral alternatives to intravenous therapy
  publication-title: Oncologist
  doi: 10.1634/theoncologist.6-suppl_4-12
  contributor:
    fullname: Borner
– volume: 133
  start-page: 367
  year: 2012
  ident: 2022061002244786200_bib31
  article-title: Adherence and discontinuation of adjuvant hormonal therapy in breast cancer patients: a population-based study
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-012-1961-4
  contributor:
    fullname: Wigertz
– volume: 172
  start-page: 167
  year: 2018
  ident: 2022061002244786200_bib32
  article-title: Determinants of non-adherence to adjuvant endocrine treatment in women with breast cancer: the role of comorbidity
  publication-title: Breast Cancer Res Treat
  doi: 10.1007/s10549-018-4890-z
  contributor:
    fullname: Wulaningsih
– volume: 27
  start-page: 104
  year: 2011
  ident: 2022061002244786200_bib9
  article-title: Oral agents in cancer treatment: the context for adherence
  publication-title: Semin Oncol Nurs
  doi: 10.1016/j.soncn.2011.02.002
  contributor:
    fullname: Barton
– volume: 64
  start-page: 749
  year: 2011
  ident: 2022061002244786200_bib25
  article-title: A combined comorbidity score predicted mortality in elderly patients better than existing scores
  publication-title: J Clin Epidemiol
  doi: 10.1016/j.jclinepi.2010.10.004
  contributor:
    fullname: Gagne
– volume: 11
  start-page: 129
  year: 2011
  ident: 2022061002244786200_bib8
  article-title: Acceptance of oral chemotherapy in breast cancer patients: a survey study
  publication-title: BMC Cancer
  doi: 10.1186/1471-2407-11-129
  contributor:
    fullname: Schott
– volume: 36
  start-page: 181
  year: 2013
  ident: 2022061002244786200_bib36
  article-title: Adherence to adjuvant hormonal therapy and its relationship to breast cancer recurrence and survival among low-income women
  publication-title: Am J Clin Oncol
  doi: 10.1097/COC.0b013e3182436ec1
  contributor:
    fullname: Weaver
– volume: 98
  start-page: 517
  year: 2008
  ident: 2022061002244786200_bib11
  article-title: Clinical pharmacology of cancer therapies in older adults
  publication-title: Br J Cancer
  doi: 10.1038/sj.bjc.6604201
  contributor:
    fullname: Hurria
– volume: 20
  start-page: 2755
  year: 2012
  ident: 2022061002244786200_bib6
  article-title: Health-related quality of life anticipated with different management strategies for febrile neutropenia in adult cancer patients
  publication-title: Support Care Cancer
  doi: 10.1007/s00520-012-1397-8
  contributor:
    fullname: Teuffel
– volume: 36
  start-page: 369
  year: 2018
  ident: 2022061002244786200_bib14
  article-title: Sensitivity of the medication possession ratio to modelling decisions in large claims databases
  publication-title: Pharmacoeconomics
  doi: 10.1007/s40273-017-0597-y
  contributor:
    fullname: Bjarnadottir
– year: 2012
  ident: 2022061002244786200_bib19
  article-title: Proportion of days covered (PDC) as a preferred method of measuring medication adherence
  publication-title: Pharmacy Quality Alliance
  contributor:
    fullname: Nau
– volume: 1
  start-page: 175
  year: 2014
  ident: 2022061002244786200_bib30
  article-title: Misclassification in administrative claims data: quantifying the impact on treatment effect estimates
  publication-title: Curr Epidemiol Rep
  doi: 10.1007/s40471-014-0027-z
  contributor:
    fullname: Funk
– year: 2018
  ident: 2022061002244786200_bib17
  article-title: SEER-Medicare: Defining the Date of Diagnosis & Treatment
– volume: 24
  start-page: 59
  year: 2015
  ident: 2022061002244786200_bib24
  article-title: Using claims data to predict dependency in activities of daily living as a proxy for frailty
  publication-title: Pharmacoepidemiol Drug Saf
  doi: 10.1002/pds.3719
  contributor:
    fullname: Faurot
– year: 2013
  ident: 2022061002244786200_bib18
  article-title: Measuring medication adherence with simple drug use and medication switching
  publication-title: SAS Global Forum
  contributor:
    fullname: Wang
– volume: 34
  start-page: 187
  year: 1972
  ident: 2022061002244786200_bib26
  article-title: Regression models and life-tables
  publication-title: J Roy Stat Soc: Ser B
  contributor:
    fullname: Cox
– volume: 34
  start-page: 2452
  year: 2017
  ident: 2022061002244786200_bib38
  article-title: Clinical and economic outcomes in elderly advanced renal cell carcinoma patients starting pazopanib or sunitinib treatment: a retrospective Medicare claims analysis
  publication-title: Adv Ther
  doi: 10.1007/s12325-017-0628-2
  contributor:
    fullname: Vogelzang
– volume: 25
  start-page: 2303
  year: 2009
  ident: 2022061002244786200_bib21
  article-title: Good and poor adherence: optimal cut-point for adherence measures using administrative claims data
  publication-title: Curr Med Res Opin
  doi: 10.1185/03007990903126833
  contributor:
    fullname: Karve
– volume: 189
  start-page: 1408
  year: 2020
  ident: 2022061002244786200_bib29
  article-title: Hidden imputations and the Kaplan-Meier estimator
  publication-title: Am J Epidemiol
  doi: 10.1093/aje/kwaa086
  contributor:
    fullname: Cole
– volume: 22
  start-page: 219
  year: 2016
  ident: 2022061002244786200_bib37
  article-title: Patterns of care in patients with metastatic renal cell carcinoma among a U.S. payer population with commercial or Medicare advantage membership
  publication-title: J Manag Care Spec Pharm
  contributor:
    fullname: Miller
– volume: 15
  start-page: 110
  year: 1997
  ident: 2022061002244786200_bib4
  article-title: Patient preferences for oral versus intravenous palliative chemotherapy
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.1997.15.1.110
  contributor:
    fullname: Liu
– volume: 15
  start-page: 804
  year: 2017
  ident: 2022061002244786200_bib22
  article-title: Kidney cancer, version 2.2017, NCCN Clinical Practice Guidelines in Oncology
  publication-title: J Natl Compr Canc Netw
  doi: 10.6004/jnccn.2017.0100
  contributor:
    fullname: Motzer
– volume: 35
  start-page: 86
  year: 2017
  ident: 2022061002244786200_bib35
  article-title: Association between out-of-pocket costs, race/ethnicity, and adjuvant endocrine therapy adherence among Medicare patients with breast cancer
  publication-title: J Clin Oncol
  doi: 10.1200/JCO.2016.68.2807
  contributor:
    fullname: Farias
– volume: 50
  start-page: 360
  year: 2016
  ident: 2022061002244786200_bib12
  article-title: Proposal of standardization to assess adherence with medication records: methodology matters
  publication-title: Ann Pharmacother
  doi: 10.1177/1060028016634106
  contributor:
    fullname: Arnet
– year: 2017
  ident: 2022061002244786200_bib23
  article-title: Medicare 2018 Part C & D Star rating Technical notes
  contributor:
    fullname: Centers for Medicare and Medicad Services
– volume: 17
  start-page: 221
  year: 2019
  ident: 2022061002244786200_bib10
  article-title: Patient experiences with oral chemotherapy: adherence, symptoms, and quality of life
  publication-title: J Natl Compr Canc Netw
  doi: 10.6004/jnccn.2018.7098
  contributor:
    fullname: Jacobs
– volume: 6
  start-page: S1
  year: 2008
  ident: 2022061002244786200_bib5
  article-title: NCCN Task Force Report: oral chemotherapy
  publication-title: J Natl Compr Canc Netw
  doi: 10.6004/jnccn.2008.2003
  contributor:
    fullname: Weingart
– volume: 15
  start-page: 231
  year: 2013
  ident: 2022061002244786200_bib1
  article-title: Adherence to targeted oral anticancer medications
  publication-title: Discov Med
  contributor:
    fullname: Geynisman
– year: 2018
  ident: 2022061002244786200_bib16
  article-title: SEER-Medicare: Brief Description of the SEER-Medicare Database
– volume: 23
  start-page: 22
  year: 2014
  ident: 2022061002244786200_bib2
  article-title: Adherence to oral antineoplastic agents by cancer patients: definition and literature review
  publication-title: Eur J Cancer Care
  doi: 10.1111/ecc.12124
  contributor:
    fullname: Bassan
– volume: 80
  start-page: 1289
  year: 2015
  ident: 2022061002244786200_bib15
  article-title: Oral antineoplastic agents: how do we care about adherence?
  publication-title: Br J Clin Pharmacol
  doi: 10.1111/bcp.12734
  contributor:
    fullname: Barillet
– volume: 2015
  start-page: 217047
  year: 2015
  ident: 2022061002244786200_bib13
  article-title: Medication adherence measures: an overview
  publication-title: Biomed Res Int
  doi: 10.1155/2015/217047
  contributor:
    fullname: Lam
– volume: 41
  start-page: 708
  year: 2018
  ident: 2022061002244786200_bib33
  article-title: The association between out-of-pocket costs and adherence to adjuvant endocrine therapy among newly diagnosed breast cancer patients
  publication-title: Am J Clin Oncol
  doi: 10.1097/COC.0000000000000351
  contributor:
    fullname: Farias
– volume: 11
  start-page: 1469
  year: 2017
  ident: 2022061002244786200_bib20
  article-title: An upper and lower bound of the medication possession ratio
  publication-title: Patient Prefer Adherence
  doi: 10.2147/PPA.S136890
  contributor:
    fullname: Sperber
SSID ssj0007955
Score 2.4263294
Snippet Adherence and persistence studies face several methodologic difficulties, including short-term mortality. We compared approaches to quantify adherence and...
BACKGROUNDAdherence and persistence studies face several methodologic difficulties, including short-term mortality. We compared approaches to quantify...
SourceID proquest
crossref
pubmed
SourceType Aggregation Database
Index Database
StartPage 893
SubjectTerms Aged
Carcinoma, Renal Cell - drug therapy
Humans
Kidney Neoplasms - drug therapy
Kidney Neoplasms - pathology
Medicare
Medication Adherence
Retrospective Studies
United States - epidemiology
Title Comparison of Approaches for Measuring Adherence and Persistence to Oral Oncologic Therapies in Patients Diagnosed with Metastatic Renal Cell Carcinoma
URI https://www.ncbi.nlm.nih.gov/pubmed/35064061
https://search.proquest.com/docview/2622281564
Volume 31
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3LattAFB2cFEo3pe-6L26hu6BU78eyVRwSGseFOpDdMDMaEZMyMrb1Lf3d3jt6jEtbSBfdCCHjWegc5j507hnGPqQirTOlUk9mIvLi3FeeiCNNFqI616nSdUWtgbNv2eV1fjKLZ5PJ4Hvrnv1XpPEZYk2Ts_-A9rgoPsB7xByviDpe74R7uX-wICWZdmRKW9uFo7ntCNpOSHXTG8zacQHqmm1t-kzJ6IKm9hdGdRsjqTI2Yr2y0i3y9F_ZqbiTTqQ3yNfneidoOskK8ynFLakrWNJRRabpN3_niKD05ki7w2kt0uQEQGKhzdbycd2bSzmdQHnTGjcWTyJI1zhXt5aQn7_bL_-BEYNSn340_YwAuVPje-nDwEjd1twOEwQYhOmDAmJk9vshWEo7GY12e3iWde6_wybfh5rVfgejC_fdAY1D8O9Oa_o9riS5bXEkiYcFYnI8-3ruhaRFiwMXSAfxwOWCn15dXPDl7Hp5wO6FuAXaYv_8y5gjZEWS9PNkuPTHPy78a6b0l_LHpkHLR-xhX7_Ap454j9lEmyfs_rxXaDxlPxz_oKnB8Q-QfzDyD0b-AfIP9vgHuwaIfzDyD0b-wcrAwD8Y-QfEP3D8A8s_IP7ByL9n7Op0tizPvP7wD09hEA08WdcS7zCFU5hJ6UpHvkx9KcOKhr1rzJtDEWcC81MVVUpoLYSg4lvnGKYyTEKfs0PTGP2SgfR1Xmd1EYraj2URSRmoIC-qQvq5FIGcsuPhRfN15_HCbW2c5JyQ4YQMR2R4GHBCZsreD3Bw3I3pE5swumm3PEypo0oGTFP2osNpXDIib0hMn1_d4d-v2QPH7TfscLdp9Vt2sK3ad5ZIPwFoELdk
link.rule.ids 315,782,786,27933,27934
linkProvider Flying Publisher
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Comparison+of+Approaches+for+Measuring+Adherence+and+Persistence+to+Oral+Oncologic+Therapies+in+Patients+Diagnosed+with+Metastatic+Renal+Cell+Carcinoma&rft.jtitle=Cancer+epidemiology%2C+biomarkers+%26+prevention&rft.au=Chun%2C+Danielle+S&rft.au=Hicks%2C+Bl%C3%A1naid&rft.au=Hinton%2C+Sharon+Peacock&rft.au=Funk%2C+Michele+Jonsson&rft.date=2022-04-01&rft.eissn=1538-7755&rft.volume=31&rft.issue=4&rft.spage=893&rft.epage=899&rft_id=info:doi/10.1158%2F1055-9965.EPI-21-0341&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1055-9965&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1055-9965&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1055-9965&client=summon