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Patterns of Use of a Price Transparency Tool for Childbirth Among Pregnant Individuals With Commercial Insurance
When introduced a decade ago, patient-facing price transparency tools had low use rates and were largely not associated with changes in spending. Little is known about how such tools are used by pregnant individuals in anticipation of childbirth, a shoppable service with increasing out-of-pocket spe...
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Published in: | JAMA network open 2021-08, Vol.4 (8), p.e2121410-e2121410 |
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description | When introduced a decade ago, patient-facing price transparency tools had low use rates and were largely not associated with changes in spending. Little is known about how such tools are used by pregnant individuals in anticipation of childbirth, a shoppable service with increasing out-of-pocket spending.
To measure changes over time in the patterns and characteristics of use of a price transparency tool by pregnant individuals, and to identify the association between price transparency tool use, coinsurance, and childbirth spending.
This descriptive cross-sectional study of 2 cohorts used data from a US commercial health insurance company that launched a web-based price transparency tool in 2010. Data on all price transparency tool queries for 2 periods (January 1, 2011, to December 31, 2012, and January 1, 2015, to December 31, 2016) were obtained. The sample included enrollees aged 19 to 45 years who had a delivery episode during 2 periods (November 1, 2011, to December 31, 2012, or November 1, 2015, to December 31, 2016) and were continuously enrolled for the 10 months prior to delivery (N = 253 606).
Access to a web-based price transparency tool that provided individualized out-of-pocket price estimates for vaginal and cesarean deliveries.
The primary outcomes were searches on the price transparency tool by delivery mode (vaginal or cesarean), timing (first, second, or third trimester), and individual characteristics (age at childbirth, rurality, pregnancy risk status, coinsurance exposure, area educational attainment, and area median household income). Another outcome was the association of out-of-pocket childbirth spending with price transparency tool use.
The sample included 253 606 pregnant individuals, of whom 131 224 (51.7%) were in the 2011 to 2012 cohort and 122 382 (48.3%) were in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, the mean (SD) age was 31 years (5.2 years) and most individuals had coinsurance for delivery (94 251 [77.0%]). Price searching increased from 5.9% in the 2011 to 2012 cohort to 13.0% in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, 43.9% of searchers' first price query was in their first trimester. The adjusted probability of searching was lower for individuals with a high-risk pregnancy due to a previous cesarean delivery (11.5%; 95% CI, 11.0%-12.1%) vs individuals with low-risk pregnancy (13.4%; 95% CI, 12.9%-14.0%). Use increased monotonically with coinsurance, from 9.2% (95% CI, 8.7%-9.8%) among individ |
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To measure changes over time in the patterns and characteristics of use of a price transparency tool by pregnant individuals, and to identify the association between price transparency tool use, coinsurance, and childbirth spending.
This descriptive cross-sectional study of 2 cohorts used data from a US commercial health insurance company that launched a web-based price transparency tool in 2010. Data on all price transparency tool queries for 2 periods (January 1, 2011, to December 31, 2012, and January 1, 2015, to December 31, 2016) were obtained. The sample included enrollees aged 19 to 45 years who had a delivery episode during 2 periods (November 1, 2011, to December 31, 2012, or November 1, 2015, to December 31, 2016) and were continuously enrolled for the 10 months prior to delivery (N = 253 606).
Access to a web-based price transparency tool that provided individualized out-of-pocket price estimates for vaginal and cesarean deliveries.
The primary outcomes were searches on the price transparency tool by delivery mode (vaginal or cesarean), timing (first, second, or third trimester), and individual characteristics (age at childbirth, rurality, pregnancy risk status, coinsurance exposure, area educational attainment, and area median household income). Another outcome was the association of out-of-pocket childbirth spending with price transparency tool use.
The sample included 253 606 pregnant individuals, of whom 131 224 (51.7%) were in the 2011 to 2012 cohort and 122 382 (48.3%) were in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, the mean (SD) age was 31 years (5.2 years) and most individuals had coinsurance for delivery (94 251 [77.0%]). Price searching increased from 5.9% in the 2011 to 2012 cohort to 13.0% in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, 43.9% of searchers' first price query was in their first trimester. The adjusted probability of searching was lower for individuals with a high-risk pregnancy due to a previous cesarean delivery (11.5%; 95% CI, 11.0%-12.1%) vs individuals with low-risk pregnancy (13.4%; 95% CI, 12.9%-14.0%). Use increased monotonically with coinsurance, from 9.2% (95% CI, 8.7%-9.8%) among individuals with no coinsurance to 15.0% (95% CI, 14.4%-15.5%) among individuals with 11% or higher coinsurance. After adjusting for covariates, searching was positively associated with out-of-pocket delivery episode spending. Among patients with 11% coinsurance or higher, early and late searchers spent more out of pocket ($59.57 [95% CI, $33.44-$85.96] and $73.33 [95% CI, $32.04-$115.29], respectively), compared with never searchers.
The results of this cross-sectional study indicate that the proportion of pregnant individuals who sought price information before childbirth more than doubled within the first 6 years of availability of a price transparency tool. These findings suggest that price information may help individuals anticipate their out-of-pocket childbirth costs.</description><identifier>ISSN: 2574-3805</identifier><identifier>EISSN: 2574-3805</identifier><identifier>DOI: 10.1001/jamanetworkopen.2021.21410</identifier><identifier>PMID: 34406401</identifier><language>eng</language><publisher>United States: American Medical Association</publisher><subject>Adult ; Childbirth & labor ; Cohort Studies ; Cross-Sectional Studies ; Delivery, Obstetric - economics ; Delivery, Obstetric - statistics & numerical data ; Delivery, Obstetric - trends ; Female ; Forecasting ; Health Care Costs - statistics & numerical data ; Health Expenditures - statistics & numerical data ; Health Expenditures - trends ; Health Policy ; Humans ; Insurance, Health - economics ; Insurance, Health - statistics & numerical data ; Longitudinal Studies ; Online Only ; Original Investigation ; Parturition ; Pregnancy ; Pregnant Women - psychology ; United States ; Vagina</subject><ispartof>JAMA network open, 2021-08, Vol.4 (8), p.e2121410-e2121410</ispartof><rights>2021. This work is published 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.</rights><rights>Copyright 2021 Gourevitch RA et al. .</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a473t-d92ebeea11ae73c169c0eea294d03afa1c13aa2faddb0dc3d09c1351bb4b1d8e3</citedby><cites>FETCH-LOGICAL-a473t-d92ebeea11ae73c169c0eea294d03afa1c13aa2faddb0dc3d09c1351bb4b1d8e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2667803936?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,25753,27924,27925,37012,37013,44590</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34406401$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gourevitch, Rebecca A</creatorcontrib><creatorcontrib>Chien, Alyna T</creatorcontrib><creatorcontrib>Bambury, Elizabeth A</creatorcontrib><creatorcontrib>Shah, Neel T</creatorcontrib><creatorcontrib>Riedl, Christine</creatorcontrib><creatorcontrib>Rosenthal, Meredith B</creatorcontrib><creatorcontrib>Sinaiko, Anna D</creatorcontrib><title>Patterns of Use of a Price Transparency Tool for Childbirth Among Pregnant Individuals With Commercial Insurance</title><title>JAMA network open</title><addtitle>JAMA Netw Open</addtitle><description>When introduced a decade ago, patient-facing price transparency tools had low use rates and were largely not associated with changes in spending. Little is known about how such tools are used by pregnant individuals in anticipation of childbirth, a shoppable service with increasing out-of-pocket spending.
To measure changes over time in the patterns and characteristics of use of a price transparency tool by pregnant individuals, and to identify the association between price transparency tool use, coinsurance, and childbirth spending.
This descriptive cross-sectional study of 2 cohorts used data from a US commercial health insurance company that launched a web-based price transparency tool in 2010. Data on all price transparency tool queries for 2 periods (January 1, 2011, to December 31, 2012, and January 1, 2015, to December 31, 2016) were obtained. The sample included enrollees aged 19 to 45 years who had a delivery episode during 2 periods (November 1, 2011, to December 31, 2012, or November 1, 2015, to December 31, 2016) and were continuously enrolled for the 10 months prior to delivery (N = 253 606).
Access to a web-based price transparency tool that provided individualized out-of-pocket price estimates for vaginal and cesarean deliveries.
The primary outcomes were searches on the price transparency tool by delivery mode (vaginal or cesarean), timing (first, second, or third trimester), and individual characteristics (age at childbirth, rurality, pregnancy risk status, coinsurance exposure, area educational attainment, and area median household income). Another outcome was the association of out-of-pocket childbirth spending with price transparency tool use.
The sample included 253 606 pregnant individuals, of whom 131 224 (51.7%) were in the 2011 to 2012 cohort and 122 382 (48.3%) were in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, the mean (SD) age was 31 years (5.2 years) and most individuals had coinsurance for delivery (94 251 [77.0%]). Price searching increased from 5.9% in the 2011 to 2012 cohort to 13.0% in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, 43.9% of searchers' first price query was in their first trimester. The adjusted probability of searching was lower for individuals with a high-risk pregnancy due to a previous cesarean delivery (11.5%; 95% CI, 11.0%-12.1%) vs individuals with low-risk pregnancy (13.4%; 95% CI, 12.9%-14.0%). Use increased monotonically with coinsurance, from 9.2% (95% CI, 8.7%-9.8%) among individuals with no coinsurance to 15.0% (95% CI, 14.4%-15.5%) among individuals with 11% or higher coinsurance. After adjusting for covariates, searching was positively associated with out-of-pocket delivery episode spending. Among patients with 11% coinsurance or higher, early and late searchers spent more out of pocket ($59.57 [95% CI, $33.44-$85.96] and $73.33 [95% CI, $32.04-$115.29], respectively), compared with never searchers.
The results of this cross-sectional study indicate that the proportion of pregnant individuals who sought price information before childbirth more than doubled within the first 6 years of availability of a price transparency tool. These findings suggest that price information may help individuals anticipate their out-of-pocket childbirth costs.</description><subject>Adult</subject><subject>Childbirth & labor</subject><subject>Cohort Studies</subject><subject>Cross-Sectional Studies</subject><subject>Delivery, Obstetric - economics</subject><subject>Delivery, Obstetric - statistics & numerical data</subject><subject>Delivery, Obstetric - trends</subject><subject>Female</subject><subject>Forecasting</subject><subject>Health Care Costs - statistics & numerical data</subject><subject>Health Expenditures - statistics & numerical data</subject><subject>Health Expenditures - trends</subject><subject>Health Policy</subject><subject>Humans</subject><subject>Insurance, Health - economics</subject><subject>Insurance, Health - statistics & numerical data</subject><subject>Longitudinal Studies</subject><subject>Online Only</subject><subject>Original Investigation</subject><subject>Parturition</subject><subject>Pregnancy</subject><subject>Pregnant Women - psychology</subject><subject>United States</subject><subject>Vagina</subject><issn>2574-3805</issn><issn>2574-3805</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdkctuFDEQRS0EIlHILyALNmxmUrb7Mc0CKRrxiBSJLCZiaVXb1TMeuu3G7k6Uv8dDHgpZle176spVl7EPApYCQJztcUBP022Iv8NIfilBiqUUhYBX7FiWdbFQKyhfPzsfsdOU9gAgQaimKt-yI1UUUBUgjtl4hdNE0SceOn6d6FCQX0VniG8i-jRiJG_u-CaEnnch8vXO9bZ1cdrx8yH4bYZp69FP_MJbd-PsjH3iv1zW12EYKBqHfdbSnO0MvWNvugzQ6UM9Ydffvm7WPxaXP79frM8vF1jUalrYRlJLhEIg1cqIqjGQr7IpLCjsUBihEGWH1rZgjbLQ5JdStG3RCrsidcK-3PuOczuQNeSniL0eoxsw3umATv-veLfT23CjV6ouKqGywacHgxj-zJQmPbhkqO_z-sOctCwrWR5WKjP68QW6D3P0eTwtq6pegWpUlanP95SJIaVI3dNnBOhDtvpFtvqQrf6XbW5-_3ycp9bHJNVfuMqoLA</recordid><startdate>20210802</startdate><enddate>20210802</enddate><creator>Gourevitch, Rebecca A</creator><creator>Chien, Alyna T</creator><creator>Bambury, Elizabeth A</creator><creator>Shah, Neel T</creator><creator>Riedl, Christine</creator><creator>Rosenthal, Meredith B</creator><creator>Sinaiko, Anna D</creator><general>American Medical Association</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210802</creationdate><title>Patterns of Use of a Price Transparency Tool for Childbirth Among Pregnant Individuals With Commercial Insurance</title><author>Gourevitch, Rebecca A ; Chien, Alyna T ; Bambury, Elizabeth A ; Shah, Neel T ; Riedl, Christine ; Rosenthal, Meredith B ; Sinaiko, Anna D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a473t-d92ebeea11ae73c169c0eea294d03afa1c13aa2faddb0dc3d09c1351bb4b1d8e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Childbirth & labor</topic><topic>Cohort Studies</topic><topic>Cross-Sectional Studies</topic><topic>Delivery, Obstetric - economics</topic><topic>Delivery, Obstetric - statistics & numerical data</topic><topic>Delivery, Obstetric - trends</topic><topic>Female</topic><topic>Forecasting</topic><topic>Health Care Costs - statistics & numerical data</topic><topic>Health Expenditures - statistics & numerical data</topic><topic>Health Expenditures - trends</topic><topic>Health Policy</topic><topic>Humans</topic><topic>Insurance, Health - economics</topic><topic>Insurance, Health - statistics & numerical data</topic><topic>Longitudinal Studies</topic><topic>Online Only</topic><topic>Original Investigation</topic><topic>Parturition</topic><topic>Pregnancy</topic><topic>Pregnant Women - psychology</topic><topic>United States</topic><topic>Vagina</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gourevitch, Rebecca A</creatorcontrib><creatorcontrib>Chien, Alyna T</creatorcontrib><creatorcontrib>Bambury, Elizabeth A</creatorcontrib><creatorcontrib>Shah, Neel T</creatorcontrib><creatorcontrib>Riedl, Christine</creatorcontrib><creatorcontrib>Rosenthal, Meredith B</creatorcontrib><creatorcontrib>Sinaiko, Anna D</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>JAMA network open</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gourevitch, Rebecca A</au><au>Chien, Alyna T</au><au>Bambury, Elizabeth A</au><au>Shah, Neel T</au><au>Riedl, Christine</au><au>Rosenthal, Meredith B</au><au>Sinaiko, Anna D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Patterns of Use of a Price Transparency Tool for Childbirth Among Pregnant Individuals With Commercial Insurance</atitle><jtitle>JAMA network open</jtitle><addtitle>JAMA Netw Open</addtitle><date>2021-08-02</date><risdate>2021</risdate><volume>4</volume><issue>8</issue><spage>e2121410</spage><epage>e2121410</epage><pages>e2121410-e2121410</pages><issn>2574-3805</issn><eissn>2574-3805</eissn><abstract>When introduced a decade ago, patient-facing price transparency tools had low use rates and were largely not associated with changes in spending. Little is known about how such tools are used by pregnant individuals in anticipation of childbirth, a shoppable service with increasing out-of-pocket spending.
To measure changes over time in the patterns and characteristics of use of a price transparency tool by pregnant individuals, and to identify the association between price transparency tool use, coinsurance, and childbirth spending.
This descriptive cross-sectional study of 2 cohorts used data from a US commercial health insurance company that launched a web-based price transparency tool in 2010. Data on all price transparency tool queries for 2 periods (January 1, 2011, to December 31, 2012, and January 1, 2015, to December 31, 2016) were obtained. The sample included enrollees aged 19 to 45 years who had a delivery episode during 2 periods (November 1, 2011, to December 31, 2012, or November 1, 2015, to December 31, 2016) and were continuously enrolled for the 10 months prior to delivery (N = 253 606).
Access to a web-based price transparency tool that provided individualized out-of-pocket price estimates for vaginal and cesarean deliveries.
The primary outcomes were searches on the price transparency tool by delivery mode (vaginal or cesarean), timing (first, second, or third trimester), and individual characteristics (age at childbirth, rurality, pregnancy risk status, coinsurance exposure, area educational attainment, and area median household income). Another outcome was the association of out-of-pocket childbirth spending with price transparency tool use.
The sample included 253 606 pregnant individuals, of whom 131 224 (51.7%) were in the 2011 to 2012 cohort and 122 382 (48.3%) were in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, the mean (SD) age was 31 years (5.2 years) and most individuals had coinsurance for delivery (94 251 [77.0%]). Price searching increased from 5.9% in the 2011 to 2012 cohort to 13.0% in the 2015 to 2016 cohort. In the 2015 to 2016 cohort, 43.9% of searchers' first price query was in their first trimester. The adjusted probability of searching was lower for individuals with a high-risk pregnancy due to a previous cesarean delivery (11.5%; 95% CI, 11.0%-12.1%) vs individuals with low-risk pregnancy (13.4%; 95% CI, 12.9%-14.0%). Use increased monotonically with coinsurance, from 9.2% (95% CI, 8.7%-9.8%) among individuals with no coinsurance to 15.0% (95% CI, 14.4%-15.5%) among individuals with 11% or higher coinsurance. After adjusting for covariates, searching was positively associated with out-of-pocket delivery episode spending. Among patients with 11% coinsurance or higher, early and late searchers spent more out of pocket ($59.57 [95% CI, $33.44-$85.96] and $73.33 [95% CI, $32.04-$115.29], respectively), compared with never searchers.
The results of this cross-sectional study indicate that the proportion of pregnant individuals who sought price information before childbirth more than doubled within the first 6 years of availability of a price transparency tool. These findings suggest that price information may help individuals anticipate their out-of-pocket childbirth costs.</abstract><cop>United States</cop><pub>American Medical Association</pub><pmid>34406401</pmid><doi>10.1001/jamanetworkopen.2021.21410</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adult Childbirth & labor Cohort Studies Cross-Sectional Studies Delivery, Obstetric - economics Delivery, Obstetric - statistics & numerical data Delivery, Obstetric - trends Female Forecasting Health Care Costs - statistics & numerical data Health Expenditures - statistics & numerical data Health Expenditures - trends Health Policy Humans Insurance, Health - economics Insurance, Health - statistics & numerical data Longitudinal Studies Online Only Original Investigation Parturition Pregnancy Pregnant Women - psychology United States Vagina |
title | Patterns of Use of a Price Transparency Tool for Childbirth Among Pregnant Individuals With Commercial Insurance |
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