Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
A 680,000-person megastudy of nudges to encourage vaccination in pharmacies
by
Ladhania, Rahul
, Patel, Mitesh S.
, Ungar, Lyle
, Chang, Edward
, Duckworth, Angela L.
, Goren, Amir
, Milkman, Katherine L.
, Lamberton, Cait
, Oakes, Allison H.
, Whillans, Ashley
, Schweitzer, Maurice E.
, Shermohammed, Maheen
, Warren, Caleb
, Dannals, Jennifer E.
, Goldstein, Noah J.
, Spiess, Jann
, Ludwig, Jens
, Tsukayama, Eli
, Van den Bulteq, Christophe
, Zlatev, Julian J.
, Rothschild, Jake
, Hmurovic, Jillian
, Bogard, Jonathan E.
, Snider, Christopher K.
, Evans, Chalanda N.
, Horn, Samantha
, Kristal, Ariella S.
, Ho, Hung
, Brody, Ilana
, Berman, Ron
, Mullainathan, Sendhil
, Mazar, Nina
, Talloen, Joachim
, Kay, Joseph S.
, Karlano, Dean S.
, Hirsch, Alex
, Volpp, Kevin G.
, Graci, Heather N.
, Gromet, Dena M.
, Chapman, Gretchen B.
, Chabris, Christopher F.
, Meyer, Michelle N.
, Yadav, Kuldeep N.
, Hershfield, Hal
, Gandhi, Linnea
, Lee, Timothy W.
in
Aged
/ Biological Sciences
/ COVID-19
/ Economic Sciences
/ Female
/ Humans
/ Immunization
/ Immunization Programs
/ Influenza Vaccines - administration & dosage
/ Influenza, Human - prevention & control
/ Male
/ Medical Sciences
/ Messages
/ Middle Aged
/ Patients
/ Pharmacies - statistics & numerical data
/ Pharmacy
/ Reminder Systems
/ Social Sciences
/ Text Messaging
/ Texts
/ Vaccination
/ Vaccination - methods
/ Vaccination - statistics & numerical data
2022
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
A 680,000-person megastudy of nudges to encourage vaccination in pharmacies
by
Ladhania, Rahul
, Patel, Mitesh S.
, Ungar, Lyle
, Chang, Edward
, Duckworth, Angela L.
, Goren, Amir
, Milkman, Katherine L.
, Lamberton, Cait
, Oakes, Allison H.
, Whillans, Ashley
, Schweitzer, Maurice E.
, Shermohammed, Maheen
, Warren, Caleb
, Dannals, Jennifer E.
, Goldstein, Noah J.
, Spiess, Jann
, Ludwig, Jens
, Tsukayama, Eli
, Van den Bulteq, Christophe
, Zlatev, Julian J.
, Rothschild, Jake
, Hmurovic, Jillian
, Bogard, Jonathan E.
, Snider, Christopher K.
, Evans, Chalanda N.
, Horn, Samantha
, Kristal, Ariella S.
, Ho, Hung
, Brody, Ilana
, Berman, Ron
, Mullainathan, Sendhil
, Mazar, Nina
, Talloen, Joachim
, Kay, Joseph S.
, Karlano, Dean S.
, Hirsch, Alex
, Volpp, Kevin G.
, Graci, Heather N.
, Gromet, Dena M.
, Chapman, Gretchen B.
, Chabris, Christopher F.
, Meyer, Michelle N.
, Yadav, Kuldeep N.
, Hershfield, Hal
, Gandhi, Linnea
, Lee, Timothy W.
in
Aged
/ Biological Sciences
/ COVID-19
/ Economic Sciences
/ Female
/ Humans
/ Immunization
/ Immunization Programs
/ Influenza Vaccines - administration & dosage
/ Influenza, Human - prevention & control
/ Male
/ Medical Sciences
/ Messages
/ Middle Aged
/ Patients
/ Pharmacies - statistics & numerical data
/ Pharmacy
/ Reminder Systems
/ Social Sciences
/ Text Messaging
/ Texts
/ Vaccination
/ Vaccination - methods
/ Vaccination - statistics & numerical data
2022
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
A 680,000-person megastudy of nudges to encourage vaccination in pharmacies
by
Ladhania, Rahul
, Patel, Mitesh S.
, Ungar, Lyle
, Chang, Edward
, Duckworth, Angela L.
, Goren, Amir
, Milkman, Katherine L.
, Lamberton, Cait
, Oakes, Allison H.
, Whillans, Ashley
, Schweitzer, Maurice E.
, Shermohammed, Maheen
, Warren, Caleb
, Dannals, Jennifer E.
, Goldstein, Noah J.
, Spiess, Jann
, Ludwig, Jens
, Tsukayama, Eli
, Van den Bulteq, Christophe
, Zlatev, Julian J.
, Rothschild, Jake
, Hmurovic, Jillian
, Bogard, Jonathan E.
, Snider, Christopher K.
, Evans, Chalanda N.
, Horn, Samantha
, Kristal, Ariella S.
, Ho, Hung
, Brody, Ilana
, Berman, Ron
, Mullainathan, Sendhil
, Mazar, Nina
, Talloen, Joachim
, Kay, Joseph S.
, Karlano, Dean S.
, Hirsch, Alex
, Volpp, Kevin G.
, Graci, Heather N.
, Gromet, Dena M.
, Chapman, Gretchen B.
, Chabris, Christopher F.
, Meyer, Michelle N.
, Yadav, Kuldeep N.
, Hershfield, Hal
, Gandhi, Linnea
, Lee, Timothy W.
in
Aged
/ Biological Sciences
/ COVID-19
/ Economic Sciences
/ Female
/ Humans
/ Immunization
/ Immunization Programs
/ Influenza Vaccines - administration & dosage
/ Influenza, Human - prevention & control
/ Male
/ Medical Sciences
/ Messages
/ Middle Aged
/ Patients
/ Pharmacies - statistics & numerical data
/ Pharmacy
/ Reminder Systems
/ Social Sciences
/ Text Messaging
/ Texts
/ Vaccination
/ Vaccination - methods
/ Vaccination - statistics & numerical data
2022
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
A 680,000-person megastudy of nudges to encourage vaccination in pharmacies
Journal Article
A 680,000-person megastudy of nudges to encourage vaccination in pharmacies
2022
Request Book From Autostore
and Choose the Collection Method
Overview
Encouraging vaccination is a pressing policy problem. To assess whether text-based reminders can encourage pharmacy vaccination and what kinds of messages work best, we conducted a megastudy. We randomly assigned 689,693 Walmart pharmacy patients to receive one of 22 different text reminders using a variety of different behavioral science principles to nudge flu vaccination or to a business-as-usual control condition that received no messages. We found that the reminder texts that we tested increased pharmacy vaccination rates by an average of 2.0 percentage points, or 6.8%, over a 3-mo follow-up period. The most-effective messages reminded patients that a flu shot was waiting for them and delivered reminders on multiple days. The top-performing intervention included two texts delivered 3 d apart and communicated to patients that a vaccine was “waiting for you.” Neither experts nor lay people anticipated that this would be the best-performing treatment, underscoring the value of simultaneously testing many different nudges in a highly powered megastudy
Publisher
National Academy of Sciences
This website uses cookies to ensure you get the best experience on our website.