To Text or Not to Text: Electronic Message Intervention to Improve Treatment Adherence Versus Matched Historical Controls

Ensuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence w...

Full description

Saved in:
Bibliographic Details
Published inJMIR mHealth and uHealth Vol. 7; no. 4; p. e11720
Main Authors Oppezzo, Marily A, Stanton, Michael V, Garcia, Ariadna, Rigdon, Joseph, Berman, Jae R, Gardner, Christopher D
Format Journal Article
LanguageEnglish
Published Canada JMIR Publications 09.04.2019
Subjects
Online AccessGet full text
ISSN2291-5222
2291-5222
DOI10.2196/11720

Cover

Loading…
Abstract Ensuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence without compromising the integrity of the study design, and previous cohorts can serve as historical controls. Electronically delivered nudges offer low-cost opportunities to increase treatment adherence. This study aimed to evaluate the effectiveness of electronic messages (e-messages) on treatment adherence to the last cohort of a parent weight loss intervention during the second half of a year-long trial, when intervention checkpoint frequency decreases. Treatment adherence is measured by intervention class attendance and adherence to the intervention diet. All participants in the last cohort (cohort 5, n=128) of a large randomized weight loss study were offered an e-message intervention to improve participant adherence during the last 6 months of a 1-year weight loss program. Overall, 3 to 4 electronic weekly messages asked participants about intervention diet adherence. A propensity score model was estimated using 97 participants who opted to receive e-messages and 31 who declined in cohort 5 and used to pair match cohort 5 e-message participants to a historical control group from cohorts 1 to 4. Moreover, 88 participants had complete data, yielding 176 participants in the final analyses. After matching, intervention and matched control groups were compared on (1) proportion of class attendance between the 6 and 12 month study endpoints, (2) diet adherence, as measured by total carbohydrate grams for low-carbohydrate (LC) and total fat grams for low-fat (LF) diets at 12 months, and (3) weight change from 6 to 12 months. The dose-response relationship between the proportion of text messages responded to and the 3 outcomes was also investigated. Compared with matched controls, receiving e-messages had no effect on (1) treatment adherence; class attendance after 6 months +4.6% (95% CI -4.43 to 13.68, P=.31), (2) adherence; LC -2.5 g carbohydrate, 95% CI -29.9 to 24.8, P=.85; LF +6.2 g fat, 95% CI -4.1 to 17.0, P=.26); or on (3) the secondary outcome of weight change in the last 6 months; +0.3 kg (95% CI -1.0 to 1.5, P=.68). There was a positive significant response correlation between the percentage of messages to which participants responded and class attendance (r=.45, P<.001). Although this e-message intervention did not improve treatment adherence, future studies can learn from this pilot and may incorporate more variety in the prompts and more interaction to promote more effective user engagement. Uniquely, this study demonstrated the potential for innovating within a multicohort trial using propensity score-matched historical control subjects. ClinicalTrials.gov NCT01826591; https://clinicaltrials.gov/ct2/show/NCT01826591. RR2-10.1016/j.cct.2016.12.021.
AbstractList Background: Ensuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence without compromising the integrity of the study design, and previous cohorts can serve as historical controls. Electronically delivered nudges offer low-cost opportunities to increase treatment adherence. Objective: This study aimed to evaluate the effectiveness of electronic messages (e-messages) on treatment adherence to the last cohort of a parent weight loss intervention during the second half of a year-long trial, when intervention checkpoint frequency decreases. Treatment adherence is measured by intervention class attendance and adherence to the intervention diet. Methods: All participants in the last cohort (cohort 5, n=128) of a large randomized weight loss study were offered an e-message intervention to improve participant adherence during the last 6 months of a 1-year weight loss program. Overall, 3 to 4 electronic weekly messages asked participants about intervention diet adherence. A propensity score model was estimated using 97 participants who opted to receive e-messages and 31 who declined in cohort 5 and used to pair match cohort 5 e-message participants to a historical control group from cohorts 1 to 4. Moreover, 88 participants had complete data, yielding 176 participants in the final analyses. After matching, intervention and matched control groups were compared on (1) proportion of class attendance between the 6 and 12 month study endpoints, (2) diet adherence, as measured by total carbohydrate grams for low-carbohydrate (LC) and total fat grams for low-fat (LF) diets at 12 months, and (3) weight change from 6 to 12 months. The dose-response relationship between the proportion of text messages responded to and the 3 outcomes was also investigated. Results: Compared with matched controls, receiving e-messages had no effect on (1) treatment adherence; class attendance after 6 months +4.6% (95% CI −4.43 to 13.68, P=.31), (2) adherence; LC −2.5 g carbohydrate, 95% CI −29.9 to 24.8, P=.85; LF +6.2 g fat, 95% CI −4.1 to 17.0, P=.26); or on (3) the secondary outcome of weight change in the last 6 months; +0.3 kg (95% CI −1.0 to 1.5, P=.68). There was a positive significant response correlation between the percentage of messages to which participants responded and class attendance (r=.45, P<.001). Conclusions: Although this e-message intervention did not improve treatment adherence, future studies can learn from this pilot and may incorporate more variety in the prompts and more interaction to promote more effective user engagement. Uniquely, this study demonstrated the potential for innovating within a multicohort trial using propensity score–matched historical control subjects. Trial Registration: ClinicalTrials.gov NCT01826591; https://clinicaltrials.gov/ct2/show/NCT01826591 International Registered Report Identifier (IRRID): RR2-10.1016/j.cct.2016.12.021
Ensuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence without compromising the integrity of the study design, and previous cohorts can serve as historical controls. Electronically delivered nudges offer low-cost opportunities to increase treatment adherence. This study aimed to evaluate the effectiveness of electronic messages (e-messages) on treatment adherence to the last cohort of a parent weight loss intervention during the second half of a year-long trial, when intervention checkpoint frequency decreases. Treatment adherence is measured by intervention class attendance and adherence to the intervention diet. All participants in the last cohort (cohort 5, n=128) of a large randomized weight loss study were offered an e-message intervention to improve participant adherence during the last 6 months of a 1-year weight loss program. Overall, 3 to 4 electronic weekly messages asked participants about intervention diet adherence. A propensity score model was estimated using 97 participants who opted to receive e-messages and 31 who declined in cohort 5 and used to pair match cohort 5 e-message participants to a historical control group from cohorts 1 to 4. Moreover, 88 participants had complete data, yielding 176 participants in the final analyses. After matching, intervention and matched control groups were compared on (1) proportion of class attendance between the 6 and 12 month study endpoints, (2) diet adherence, as measured by total carbohydrate grams for low-carbohydrate (LC) and total fat grams for low-fat (LF) diets at 12 months, and (3) weight change from 6 to 12 months. The dose-response relationship between the proportion of text messages responded to and the 3 outcomes was also investigated. Compared with matched controls, receiving e-messages had no effect on (1) treatment adherence; class attendance after 6 months +4.6% (95% CI -4.43 to 13.68, P=.31), (2) adherence; LC -2.5 g carbohydrate, 95% CI -29.9 to 24.8, P=.85; LF +6.2 g fat, 95% CI -4.1 to 17.0, P=.26); or on (3) the secondary outcome of weight change in the last 6 months; +0.3 kg (95% CI -1.0 to 1.5, P=.68). There was a positive significant response correlation between the percentage of messages to which participants responded and class attendance (r=.45, P<.001). Although this e-message intervention did not improve treatment adherence, future studies can learn from this pilot and may incorporate more variety in the prompts and more interaction to promote more effective user engagement. Uniquely, this study demonstrated the potential for innovating within a multicohort trial using propensity score-matched historical control subjects. ClinicalTrials.gov NCT01826591; https://clinicaltrials.gov/ct2/show/NCT01826591. RR2-10.1016/j.cct.2016.12.021.
BackgroundEnsuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence without compromising the integrity of the study design, and previous cohorts can serve as historical controls. Electronically delivered nudges offer low-cost opportunities to increase treatment adherence. ObjectiveThis study aimed to evaluate the effectiveness of electronic messages (e-messages) on treatment adherence to the last cohort of a parent weight loss intervention during the second half of a year-long trial, when intervention checkpoint frequency decreases. Treatment adherence is measured by intervention class attendance and adherence to the intervention diet. MethodsAll participants in the last cohort (cohort 5, n=128) of a large randomized weight loss study were offered an e-message intervention to improve participant adherence during the last 6 months of a 1-year weight loss program. Overall, 3 to 4 electronic weekly messages asked participants about intervention diet adherence. A propensity score model was estimated using 97 participants who opted to receive e-messages and 31 who declined in cohort 5 and used to pair match cohort 5 e-message participants to a historical control group from cohorts 1 to 4. Moreover, 88 participants had complete data, yielding 176 participants in the final analyses. After matching, intervention and matched control groups were compared on (1) proportion of class attendance between the 6 and 12 month study endpoints, (2) diet adherence, as measured by total carbohydrate grams for low-carbohydrate (LC) and total fat grams for low-fat (LF) diets at 12 months, and (3) weight change from 6 to 12 months. The dose-response relationship between the proportion of text messages responded to and the 3 outcomes was also investigated. ResultsCompared with matched controls, receiving e-messages had no effect on (1) treatment adherence; class attendance after 6 months +4.6% (95% CI −4.43 to 13.68, P=.31), (2) adherence; LC −2.5 g carbohydrate, 95% CI −29.9 to 24.8, P=.85; LF +6.2 g fat, 95% CI −4.1 to 17.0, P=.26); or on (3) the secondary outcome of weight change in the last 6 months; +0.3 kg (95% CI −1.0 to 1.5, P=.68). There was a positive significant response correlation between the percentage of messages to which participants responded and class attendance (r=.45, P<.001). ConclusionsAlthough this e-message intervention did not improve treatment adherence, future studies can learn from this pilot and may incorporate more variety in the prompts and more interaction to promote more effective user engagement. Uniquely, this study demonstrated the potential for innovating within a multicohort trial using propensity score–matched historical control subjects. Trial RegistrationClinicalTrials.gov NCT01826591; https://clinicaltrials.gov/ct2/show/NCT01826591 International Registered Report Identifier (IRRID)RR2-10.1016/j.cct.2016.12.021
Ensuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence without compromising the integrity of the study design, and previous cohorts can serve as historical controls. Electronically delivered nudges offer low-cost opportunities to increase treatment adherence.BACKGROUNDEnsuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is even more of an adherence challenge. Trials with multiple cohorts offer an opportunity to innovate on ways to increase treatment adherence without compromising the integrity of the study design, and previous cohorts can serve as historical controls. Electronically delivered nudges offer low-cost opportunities to increase treatment adherence.This study aimed to evaluate the effectiveness of electronic messages (e-messages) on treatment adherence to the last cohort of a parent weight loss intervention during the second half of a year-long trial, when intervention checkpoint frequency decreases. Treatment adherence is measured by intervention class attendance and adherence to the intervention diet.OBJECTIVEThis study aimed to evaluate the effectiveness of electronic messages (e-messages) on treatment adherence to the last cohort of a parent weight loss intervention during the second half of a year-long trial, when intervention checkpoint frequency decreases. Treatment adherence is measured by intervention class attendance and adherence to the intervention diet.All participants in the last cohort (cohort 5, n=128) of a large randomized weight loss study were offered an e-message intervention to improve participant adherence during the last 6 months of a 1-year weight loss program. Overall, 3 to 4 electronic weekly messages asked participants about intervention diet adherence. A propensity score model was estimated using 97 participants who opted to receive e-messages and 31 who declined in cohort 5 and used to pair match cohort 5 e-message participants to a historical control group from cohorts 1 to 4. Moreover, 88 participants had complete data, yielding 176 participants in the final analyses. After matching, intervention and matched control groups were compared on (1) proportion of class attendance between the 6 and 12 month study endpoints, (2) diet adherence, as measured by total carbohydrate grams for low-carbohydrate (LC) and total fat grams for low-fat (LF) diets at 12 months, and (3) weight change from 6 to 12 months. The dose-response relationship between the proportion of text messages responded to and the 3 outcomes was also investigated.METHODSAll participants in the last cohort (cohort 5, n=128) of a large randomized weight loss study were offered an e-message intervention to improve participant adherence during the last 6 months of a 1-year weight loss program. Overall, 3 to 4 electronic weekly messages asked participants about intervention diet adherence. A propensity score model was estimated using 97 participants who opted to receive e-messages and 31 who declined in cohort 5 and used to pair match cohort 5 e-message participants to a historical control group from cohorts 1 to 4. Moreover, 88 participants had complete data, yielding 176 participants in the final analyses. After matching, intervention and matched control groups were compared on (1) proportion of class attendance between the 6 and 12 month study endpoints, (2) diet adherence, as measured by total carbohydrate grams for low-carbohydrate (LC) and total fat grams for low-fat (LF) diets at 12 months, and (3) weight change from 6 to 12 months. The dose-response relationship between the proportion of text messages responded to and the 3 outcomes was also investigated.Compared with matched controls, receiving e-messages had no effect on (1) treatment adherence; class attendance after 6 months +4.6% (95% CI -4.43 to 13.68, P=.31), (2) adherence; LC -2.5 g carbohydrate, 95% CI -29.9 to 24.8, P=.85; LF +6.2 g fat, 95% CI -4.1 to 17.0, P=.26); or on (3) the secondary outcome of weight change in the last 6 months; +0.3 kg (95% CI -1.0 to 1.5, P=.68). There was a positive significant response correlation between the percentage of messages to which participants responded and class attendance (r=.45, P<.001).RESULTSCompared with matched controls, receiving e-messages had no effect on (1) treatment adherence; class attendance after 6 months +4.6% (95% CI -4.43 to 13.68, P=.31), (2) adherence; LC -2.5 g carbohydrate, 95% CI -29.9 to 24.8, P=.85; LF +6.2 g fat, 95% CI -4.1 to 17.0, P=.26); or on (3) the secondary outcome of weight change in the last 6 months; +0.3 kg (95% CI -1.0 to 1.5, P=.68). There was a positive significant response correlation between the percentage of messages to which participants responded and class attendance (r=.45, P<.001).Although this e-message intervention did not improve treatment adherence, future studies can learn from this pilot and may incorporate more variety in the prompts and more interaction to promote more effective user engagement. Uniquely, this study demonstrated the potential for innovating within a multicohort trial using propensity score-matched historical control subjects.CONCLUSIONSAlthough this e-message intervention did not improve treatment adherence, future studies can learn from this pilot and may incorporate more variety in the prompts and more interaction to promote more effective user engagement. Uniquely, this study demonstrated the potential for innovating within a multicohort trial using propensity score-matched historical control subjects.ClinicalTrials.gov NCT01826591; https://clinicaltrials.gov/ct2/show/NCT01826591.TRIAL REGISTRATIONClinicalTrials.gov NCT01826591; https://clinicaltrials.gov/ct2/show/NCT01826591.RR2-10.1016/j.cct.2016.12.021.INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)RR2-10.1016/j.cct.2016.12.021.
Author Oppezzo, Marily A
Gardner, Christopher D
Garcia, Ariadna
Rigdon, Joseph
Berman, Jae R
Stanton, Michael V
AuthorAffiliation 3 Quantitative Sciences Unit Stanford University School of Medicine Stanford, CA United States
1 Stanford Prevention Research Center Stanford University School of Medicine Stanford, CA United States
2 Department of Health Sciences California State University, East Bay Hayward, CA United States
AuthorAffiliation_xml – name: 2 Department of Health Sciences California State University, East Bay Hayward, CA United States
– name: 3 Quantitative Sciences Unit Stanford University School of Medicine Stanford, CA United States
– name: 1 Stanford Prevention Research Center Stanford University School of Medicine Stanford, CA United States
Author_xml – sequence: 1
  givenname: Marily A
  orcidid: 0000-0001-6668-2508
  surname: Oppezzo
  fullname: Oppezzo, Marily A
– sequence: 2
  givenname: Michael V
  orcidid: 0000-0002-8142-6569
  surname: Stanton
  fullname: Stanton, Michael V
– sequence: 3
  givenname: Ariadna
  orcidid: 0000-0001-6740-7081
  surname: Garcia
  fullname: Garcia, Ariadna
– sequence: 4
  givenname: Joseph
  orcidid: 0000-0001-6265-0752
  surname: Rigdon
  fullname: Rigdon, Joseph
– sequence: 5
  givenname: Jae R
  orcidid: 0000-0001-8514-5038
  surname: Berman
  fullname: Berman, Jae R
– sequence: 6
  givenname: Christopher D
  orcidid: 0000-0002-7596-1530
  surname: Gardner
  fullname: Gardner, Christopher D
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30964436$$D View this record in MEDLINE/PubMed
BookMark eNpdkttqGzEQQEVJaS71LxRBKRSCW11Wu6s-FIJJG0PSvrh9FbI0a8usJVfSmubvq43TkPhJ0uhwNKOZc3TigweEJpR8YlTWnyltGHmFzhiTdCoYYyfP9qdoktKGEEIpE0yKN-iUE1lXFa_P0P0i4AX8zThE_CNknA_HL_i6B5Nj8M7gO0hJrwDPfYa4B59d8CM43-5i2ANeRNB5W-L4yq4hgjeAf0NMQ8J3Ops1WHzjUg7RGd3jWfDF26e36HWn-wSTx_UC_fp2vZjdTG9_fp_Prm6nRrAmT83S6E7YqhOaSEOlBWNlx3gjNW9bylsNjSWlLqPrcgbLQcKyFbK1tqso5RdofvDaoDdqF91Wx3sVtFMPgRBXSsfsTA-KsQpsJ4xm0FWEN0tdc1N3FZdcaiNH19eDazcst2BNqTnq_oX05Y13a7UKe1ULXpGqKYKPj4IY_gyQstq6ZKDvtYcwpJIBqRnjjIxvvT9CN2GIvnyVYqK0kjMp20K9e57RUyr_O1yADwfAxJBShO4JoUSNw6Mehqdwl0eccVmPrS6FuP6I_gcs8MTD
CitedBy_id crossref_primary_10_1002_oby_23123
crossref_primary_10_1177_1090198120931788
crossref_primary_10_1371_journal_pdig_0000766
crossref_primary_10_22237_jmasm_1608552120
Cites_doi 10.1016/j.cct.2016.12.021
10.2307/2335942
10.2196/publichealth.7093
10.3390/ijerph14040326
10.1001/jama.2018.0245
10.1161/CIR.0b013e3181e8edf1
10.2337/dc15-2137
10.1016/j.ypmed.2012.08.011
10.1037/0278-6133.23.5.443
10.1007/s10865-007-9135-2
10.1111/jhn.12096
10.1038/ijo.2015.59
10.1080/02699930801961798
10.1016/j.jand.2015.08.016
10.2196/mhealth.9482
10.1016/j.jbi.2008.08.010
10.1198/106186006X137047
10.2196/jmir.1100
10.1016/j.amepre.2008.09.040
10.2196/jmir.2857
10.1016/j.amjmed.2013.07.001
10.1056/NEJMoa050156
10.1016/j.cct.2007.07.004
10.1177/0963721414534256
10.1111/obr.12255
10.1001/jama.293.1.43
10.1016/j.appet.2010.07.015
10.2196/jmir.1138
10.2196/mhealth.4114
ContentType Journal Article
Copyright Marily A Oppezzo, Michael V Stanton, Ariadna Garcia, Joseph Rigdon, Jae R Berman, Christopher D Gardner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 09.04.2019.
2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Marily A Oppezzo, Michael V Stanton, Ariadna Garcia, Joseph Rigdon, Jae R Berman, Christopher D Gardner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 09.04.2019. 2019
Copyright_xml – notice: Marily A Oppezzo, Michael V Stanton, Ariadna Garcia, Joseph Rigdon, Jae R Berman, Christopher D Gardner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 09.04.2019.
– notice: 2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
– notice: Marily A Oppezzo, Michael V Stanton, Ariadna Garcia, Joseph Rigdon, Jae R Berman, Christopher D Gardner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 09.04.2019. 2019
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7X7
7XB
8FI
8FJ
8FK
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
FYUFA
GHDGH
K9.
M0S
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
DOA
DOI 10.2196/11720
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
ProQuest Central (Corporate)
Health & Medical Collection (ProQuest)
ProQuest Central (purchase pre-March 2016)
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central Database Suite (ProQuest)
ProQuest One
ProQuest Central
Proquest Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Health & Medical Complete (Alumni)
Health & Medical Collection (Alumni)
ProQuest Central Premium
ProQuest One Academic (New)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
MEDLINE - Academic
PubMed Central (Full Participant titles)
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest Hospital Collection
Health Research Premium Collection (Alumni)
ProQuest Central China
ProQuest Hospital Collection (Alumni)
ProQuest Central
ProQuest Health & Medical Complete
Health Research Premium Collection
ProQuest One Academic UKI Edition
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList Publicly Available Content Database
MEDLINE

MEDLINE - Academic
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ - The Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 3
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 4
  dbid: 7X7
  name: Health & Medical Collection
  url: https://search.proquest.com/healthcomplete
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Medicine
EISSN 2291-5222
ExternalDocumentID oai_doaj_org_article_224edf5ca2ef4037ba63c6f43939ac91
PMC6534047
30964436
10_2196_11720
Genre Journal Article
Observational Study
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIDDK NIH HHS
  grantid: P30 DK116074
– fundername: NHLBI NIH HHS
  grantid: K01 HL136702
GroupedDBID 53G
5VS
7X7
8FI
8FJ
AAFWJ
AAYXX
ABUWG
ADBBV
AFKRA
AFPKN
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AOIJS
BAWUL
BCNDV
BENPR
CCPQU
CITATION
DIK
EBS
EJD
FYUFA
GROUPED_DOAJ
HMCUK
HYE
KQ8
M48
M~E
OK1
PGMZT
PHGZM
PHGZT
PIMPY
RPM
UKHRP
CGR
CUY
CVF
ECM
EIF
NPM
3V.
7XB
8FK
AZQEC
DWQXO
K9.
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
7X8
5PM
PUEGO
ID FETCH-LOGICAL-c527t-cbcaf5d4f5a09c19decd9f2379a388138ae7d0529ca6881ed3e9eb8598ddf4113
IEDL.DBID M48
ISSN 2291-5222
IngestDate Wed Aug 27 01:28:07 EDT 2025
Thu Aug 21 18:08:07 EDT 2025
Fri Jul 11 15:51:00 EDT 2025
Mon Jun 30 08:41:17 EDT 2025
Thu Jan 02 22:59:00 EST 2025
Tue Jul 01 04:31:51 EDT 2025
Thu Apr 24 23:07:55 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 4
Keywords mobile health
intervention
short message service
treatment adherence
propensity score
Language English
License Marily A Oppezzo, Michael V Stanton, Ariadna Garcia, Joseph Rigdon, Jae R Berman, Christopher D Gardner. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 09.04.2019.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c527t-cbcaf5d4f5a09c19decd9f2379a388138ae7d0529ca6881ed3e9eb8598ddf4113
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Undefined-3
ORCID 0000-0002-7596-1530
0000-0001-6668-2508
0000-0001-6265-0752
0000-0001-8514-5038
0000-0002-8142-6569
0000-0001-6740-7081
OpenAccessLink https://doaj.org/article/224edf5ca2ef4037ba63c6f43939ac91
PMID 30964436
PQID 2511232998
PQPubID 4997123
ParticipantIDs doaj_primary_oai_doaj_org_article_224edf5ca2ef4037ba63c6f43939ac91
pubmedcentral_primary_oai_pubmedcentral_nih_gov_6534047
proquest_miscellaneous_2206223201
proquest_journals_2511232998
pubmed_primary_30964436
crossref_primary_10_2196_11720
crossref_citationtrail_10_2196_11720
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-04-09
PublicationDateYYYYMMDD 2019-04-09
PublicationDate_xml – month: 04
  year: 2019
  text: 2019-04-09
  day: 09
PublicationDecade 2010
PublicationPlace Canada
PublicationPlace_xml – name: Canada
– name: Toronto
– name: Toronto, Canada
PublicationTitle JMIR mHealth and uHealth
PublicationTitleAlternate JMIR Mhealth Uhealth
PublicationYear 2019
Publisher JMIR Publications
Publisher_xml – name: JMIR Publications
References ref13
ref12
ref15
ref14
ref31
ref30
ref11
ref33
ref10
ref32
ref2
ref1
ref17
ref16
ref19
Cohen, J (ref29) 1988
ref24
ref23
ref26
ref25
ref20
ref22
ref21
Thaler, R (ref18) 2008
ref28
ref27
ref8
ref7
ref9
ref4
ref3
ref6
ref5
References_xml – ident: ref17
  doi: 10.1016/j.cct.2016.12.021
– ident: ref26
  doi: 10.2307/2335942
– ident: ref25
  doi: 10.2196/publichealth.7093
– ident: ref32
  doi: 10.3390/ijerph14040326
– ident: ref7
  doi: 10.1001/jama.2018.0245
– ident: ref10
  doi: 10.1161/CIR.0b013e3181e8edf1
– ident: ref31
  doi: 10.2337/dc15-2137
– ident: ref13
  doi: 10.1016/j.ypmed.2012.08.011
– ident: ref1
  doi: 10.1037/0278-6133.23.5.443
– ident: ref6
  doi: 10.1007/s10865-007-9135-2
– year: 2008
  ident: ref18
  publication-title: Nudge: Improving Decisions about Health, Wealth, and Happiness
– ident: ref15
  doi: 10.1111/jhn.12096
– ident: ref8
  doi: 10.1038/ijo.2015.59
– ident: ref21
  doi: 10.1080/02699930801961798
– ident: ref23
  doi: 10.1016/j.jand.2015.08.016
– ident: ref24
  doi: 10.2196/mhealth.9482
– year: 1988
  ident: ref29
  publication-title: Statistical Power Analysis for the Behavioral Sciences
– ident: ref22
  doi: 10.1016/j.jbi.2008.08.010
– ident: ref27
  doi: 10.1198/106186006X137047
– ident: ref14
  doi: 10.2196/jmir.1100
– ident: ref28
– ident: ref11
  doi: 10.1016/j.amepre.2008.09.040
– ident: ref30
  doi: 10.2196/jmir.2857
– ident: ref2
  doi: 10.1016/j.amjmed.2013.07.001
– ident: ref4
  doi: 10.1056/NEJMoa050156
– ident: ref5
  doi: 10.1016/j.cct.2007.07.004
– ident: ref19
  doi: 10.1177/0963721414534256
– ident: ref9
  doi: 10.1111/obr.12255
– ident: ref3
  doi: 10.1001/jama.293.1.43
– ident: ref20
  doi: 10.1016/j.appet.2010.07.015
– ident: ref12
  doi: 10.2196/jmir.1138
– ident: ref33
– ident: ref16
  doi: 10.2196/mhealth.4114
SSID ssj0001125295
Score 2.2725866
Snippet Ensuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over time, there is...
Background: Ensuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over...
BackgroundEnsuring treatment adherence is important for the internal validity of clinical trials. In intervention studies where touch points decrease over...
SourceID doaj
pubmedcentral
proquest
pubmed
crossref
SourceType Open Website
Open Access Repository
Aggregation Database
Index Database
Enrichment Source
StartPage e11720
SubjectTerms Accountability
Adult
Behavior
Carbohydrates
Cohort Studies
Consortia
Design
Diet
Female
Focus groups
Focus Groups - methods
Humans
Intervention
Longitudinal Studies
Male
Middle Aged
Original Paper
Patient compliance
Qualitative Research
Recidivism
Reminder Systems - instrumentation
Reminder Systems - standards
Reminder Systems - statistics & numerical data
Success
Surveys and Questionnaires
Text messaging
Text Messaging - instrumentation
Text Messaging - standards
Text Messaging - statistics & numerical data
Treatment Adherence and Compliance - psychology
Treatment Adherence and Compliance - statistics & numerical data
SummonAdditionalLinks – databaseName: DOAJ Directory of Open Access Journals
  dbid: DOA
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LT9wwEB5VHFClqoI-w2PlSlwjkthObG6wAgHSclokbpGfBQkl1W720H_POM6GXVSJS4-O5-B4PvubscczACfCGakqm6Weep0yUdhUaOvRS9HIJgElLLx3nt2V1_fs9oE_bJT6CjFhMT1wnLhTpBhnPTeqcJ5ltNKqpKb0yKNUKtO_Wy-Q8zacqf50BXm7kHwXPoVYZ0TZaY5MnW2RT5-j_1-G5dv4yA3CudqDz4OlSM7jCPfhg2u-wO5suAv_Cn_nLZnj1kraBblrO9LF5hm5HCvbkFkocPLbkZuNyMYgGI8SHJmvw8zJuX2MD_9IOEFbLclMBX1a8ppHhExjWPvyG9xfXc6n1-lQSCE1vKi61GijPLfMc5VJk0vrjJW-oJVUVIicCuVQXThhRpXYdpY66bTgUljrWZ7T77DTtI37CYR6h_sSapL5nFnhdVF56WiVeS25EVkCJ-sZrs2QZTwUu3iu0dsIiqh7RSQwGcX-xLQabwUugnrGzpAFu_-A2KgHbNTvYSOBo7Vy62FpLuvgU6EZiW5mAr_GblxU4aZENa5doUyRlWg3oXGUwI-IhXEkFJ0-xmiZQLWFkq2hbvc0T4994u6SU4R_dfA__u0QPuLw-outTB7BTrdYuWO0jzo96ZfCCxmxEdk
  priority: 102
  providerName: Directory of Open Access Journals
– databaseName: Health & Medical Collection (ProQuest)
  dbid: 7X7
  link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfR3LatwwcGhTCIVQ-q7bNKiQq4ltSZbUS0lDQlrYnDawN6NnUih2uus95O87srXebCg9yhqw0LwfmgE4lt4qLVyRBxpMzmTlcmlcQC_FoDaJVMLie-fZVX15zX4u-CIF3FaprHIjEwdB7TobY-Qn0RRG7Y_ewbe7P3mcGhWzq2mExlN4FluXRedLLMQ2xoLau1J8Hw5ixTPS2kmJ-rrYUUFDp_5_mZePqyQfqJ2Ll_Ai2YvkdETwK3ji29ewP0sZ8TdwP-_IHAUs6ZbkqutJPy6_kvNpvg2ZxTEnN578eFDfGAHHgIIn802xOTl1t-PzPxLjaOsVmemIVUe23UTI2VjcvnoL1xfn87PLPI1TyC2vRJ9bY3XgjgWuC2VL5bx1KlRUKE2lLKnUHpGGF2Z1jWvvqFfeSK6kc4GVJX0He23X-g9AaPAonRCfLJTMyWAqEZSnoghGcSuLDI43N9zY1Gs8jrz43aDPERHRDIjI4GgCuxubazwG-B7RM23GXtjDh2550yTWatAI8S5wqysfWEGF0TW1dUBLiyptVZnB4Qa5TWLQVbMlpwy-TNvIWjFfolvfrRGmKmq0ntBEyuD9SAvTSSi6fozROgOxQyU7R93daX_dDu27a06RCcTH_x_rEzzHHw-Jq0Idwl6_XPvPaP_05mgg8r80Owjn
  priority: 102
  providerName: ProQuest
Title To Text or Not to Text: Electronic Message Intervention to Improve Treatment Adherence Versus Matched Historical Controls
URI https://www.ncbi.nlm.nih.gov/pubmed/30964436
https://www.proquest.com/docview/2511232998
https://www.proquest.com/docview/2206223201
https://pubmed.ncbi.nlm.nih.gov/PMC6534047
https://doaj.org/article/224edf5ca2ef4037ba63c6f43939ac91
Volume 7
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3da9wwDBdbC2Uwxr6XrQse9DVbYiexPRijLVe6QY4x7qBvwfFHWyjJdpeD9b-fnOSyS-nDXgKOHWIsyfpJliWAI2G1VNzEkWOuilJBTSQq49BKqVCbeC5J_X3nYp6fL9PvF9lONOGwgOt7TTtfT2q5uvn45_ftVxT4Lz6MGRnoU4JKGK32fVRG3FdvKAaE37lZUIHTrvYKpTJBs4vSA3g8-XKikbrE_fehzbtBkzta6OwpPBngIznu6f0MHtj6ORwUwwH5C7hdNGSB-y1pVmTetKTtm5_JbCx3Qwpf9eTSkm874Y5-YO9fsGSxjT0nx-aqvw1IvFttsyaF8kQ25F9yEXLax7qvX8LybLY4PY-G6gqRzihvI11p5TKTukzFUifSWG2ko4xLxYRImFAWaYiLp1WObWuYlbYSmRTGuDRJ2CvYq5vavgHCnMXNCsmbuiQ1wlWUO2kZj10lMy3iAI62K1zqIfW4r4BxU6IJ4glRdoQIIByH_epzbdwdcOLJM3b61Njdi2Z1WQ6SViImscZlWlHr0pjxSuVM5w6BF5NKyySAwy1xyy27ld7QQmyJtmcAH8ZulDR_fKJq22xwDI1zBFOImAJ43fPCOBOGlmCasjwAPuGSyVSnPfX1VZfNO88YygR_-x__fQeP8NkdZsXyEPba1ca-R0zUViE85Bc8hP2T2fzHz7DzLISdJPwFjWAQdw
linkProvider Scholars Portal
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3da9RAEB9qhVoQ8asarXWF-hia7CbZrCBSa8udbe7pCvcWN_vRCiWpdzmk_5R_o7P5ul4R3_qY7BKGzG9nfrM7OwOwnxolJNeBb5kt_Cil2k8LbTFKKdCbOJRE7r5zNklG59H3WTzbgD_9XRiXVtnbxMZQ60q5PfIDR4XR-2N08OX6l--6RrnT1b6FRguLU3PzG0O2xefxN9TvR0pPjqdHI7_rKuCrmPLaV4WSNtaRjWUgVCi0UVpYyriQLE1DlkqDssdUKJngs9HMCFOksUi1tlEYMvzuA3iIjjdwKYR8xld7OsgWqIi34LHLsEZsH4TID4I1l9d0BvgXnb2blXnLzZ08hScdPyWHLaCewYYpn8NW1p3Av4CbaUWmaNBJNSeTqiZ1-_iJHA_9dEjm2qpcGDK-lU_pJrYbGIZM--R2cqgv2-uGxO3bLRckkw5Fmqyql5CjNpl-8RLO7-VH78BmWZXmNRBmDVpDxE9kw0intqDcCsN4YAsRqzTwYL__w7nqapu7FhtXOcY4ThF5owgP9oZp120xj7sTvjr1DIOu9nbzoppf5N1SzpH0GG1jJamxUcB4IROmEovMjgmpROjBbq_cvDMIi3wFXw8-DMO4lN35jCxNtcQ5NEiQrSEl8-BVi4VBEoahZhSxxAO-hpI1UddHyp-XTbnwJGa46Pib_4v1Hh6NptlZfjaenL6FbRSiOTQLxC5s1vOleYfcqy72GsAT-HHfK-wvfHhHQg
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3da9swED-6DsKgjH123rpOg-7RxJZsyxqM0bUNzbqEPaSQN0_WRzsodpc4jP5r--t28leaMvbWR1vCyLrf6X4nne4ADlKjhOQ68C2zuR-lVPtpri16KTlaE4eSyN13nkyT0_Po6zyeb8Gf7i6MC6vs1sR6odalcnvkQ0eF0fqjdzC0bVjE9-PR5-tfvqsg5U5au3IaDUTOzM1vdN-Wn8bHKOsPlI5OZkenflthwFcx5ZWvciVtrCMby0CoUGijtLCUcSFZmoYslQb_I6ZCyQSfjWZGmDyNRaq1jcKQ4XcfwEPO0GyiLvE5X-_vIHOgIh7Ajou2RpwPQ-QKwYb5q6sE_Iva3o3QvGXyRk_gcctVyWEDrqewZYpnMJi0p_HP4WZWkhnOECkXZFpWpGoeP5KTvrYOmbgSKxeGjG_FVrqOzWaGIbMu0J0c6svm6iFxe3irJZlIhyhN1plMyFETWL98Aef3MtEvYbsoC_MKCLMGV0bEUmTDSKc2p9wKw3hgcxGrNPDgoJvhTLV5zl25jasM_R0niKwWhAf7fbfrJrHH3Q5fnHj6RpeHu35RLi6yVq0zJEBG21hJamwUMJ7LhKnEIstjQioRerDXCTdrF4dltoayB-_7ZlRrd1YjC1OusA8NEmRuSM882G2w0I-EodsZRSzxgG-gZGOomy3Fz8s6dXgSM1RA_vr_w3oHA9St7Nt4evYGHuEY6vOzQOzBdrVYmbdIw6p8v8Y7gR_3rWB_AV13S3g
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=To+Text+or+Not+to+Text%3A+Electronic+Message+Intervention+to+Improve+Treatment+Adherence+Versus+Matched+Historical+Controls&rft.jtitle=JMIR+mHealth+and+uHealth&rft.au=Oppezzo%2C+Marily+A&rft.au=Stanton%2C+Michael+V&rft.au=Garcia%2C+Ariadna&rft.au=Rigdon%2C+Joseph&rft.date=2019-04-09&rft.issn=2291-5222&rft.eissn=2291-5222&rft.volume=7&rft.issue=4&rft.spage=e11720&rft_id=info:doi/10.2196%2F11720&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2291-5222&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2291-5222&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2291-5222&client=summon