Can personalized digital counseling improve consumer search for modern contraceptive methods?
dc.contributor.author | Athey, S | |
dc.contributor.author | Bergstrom, K | |
dc.contributor.author | Hadad, V | |
dc.contributor.author | Jamison, JC | |
dc.contributor.author | Özler, B | |
dc.contributor.author | Parisotto, L | |
dc.contributor.author | Dohbit Sama, J | |
dc.date.accessioned | 2023-10-04T15:38:47Z | |
dc.date.issued | 2023-10-06 | |
dc.date.updated | 2023-10-04T11:06:47Z | |
dc.description.abstract | This paper analyzes a randomized controlled trial of a personalized digital counseling intervention addressing informational constraints and choice architecture, cross-randomized with discounts for long-acting reversible contraceptives (LARCs). The counseling intervention encourages shared decision-making (SDM) using a tablet-based app, which provides a tailored ranking of modern methods to each client according to their elicited needs and preferences. Take-up of LARCs in the status quo regime at full price was 11%, which increased to 28% with discounts. SDM roughly tripled the share of clients adopting a LARC at full price to 35% and discounts had no incremental impact in this group. Neither intervention affected the take-up of short-acting methods, such as the pill or the injectable. Consistent with theoretical models of consumer search, SDM clients discussed more methods in depth, which led to higher adoption rates for second- or lower-ranked LARCs. Our findings suggest that low-cost individualized recommendations can potentially be as effective in increasing unfamiliar technology adoption as providing large subsidies. | en_GB |
dc.description.sponsorship | Golub Capital Social Impact Lab at Stanford Graduate School of Business | en_GB |
dc.description.sponsorship | World Bank | en_GB |
dc.identifier.citation | Vol. 9 (40), article eadg4420 | en_GB |
dc.identifier.doi | 10.1126/sciadv.adg4420 | |
dc.identifier.uri | http://hdl.handle.net/10871/134166 | |
dc.identifier | ORCID: 0000-0003-2671-1153 (Jamison, Julian) | |
dc.language.iso | en | en_GB |
dc.publisher | American Association for the Advancement of Science (AAAS) | en_GB |
dc.relation.url | https://doi.org/10.7910/DVN/9PXEGE | en_GB |
dc.rights | © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
dc.title | Can personalized digital counseling improve consumer search for modern contraceptive methods? | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-10-04T15:38:47Z | |
dc.identifier.issn | 2375-2548 | |
dc.description | This is the final version. Available on open access from the American Association for the Advancement of Science via the DOI in this record | en_GB |
dc.description | Data and Materials Availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. The study is registered at the AEA RCT registry (AEARCTR-0003514) and clinicaltrials.gov (NCT03733678). The data for this study have been deposited in the Dataverse (https://doi.org/10.7910/DVN/9PXEGE). | en_GB |
dc.identifier.journal | Science Advances | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_GB |
dcterms.dateAccepted | 2023-09-05 | |
dcterms.dateSubmitted | 2022-12-23 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-09-05 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-10-04T11:06:50Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2023-10-18T13:23:14Z | |
refterms.panel | C | en_GB |
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Except where otherwise noted, this item's licence is described as © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY). This is an open-access article distributed under the terms of the Creative Commons Attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.