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. Author manuscript; available in PMC: 2018 Aug 8.
Published in final edited form as: JAMA Intern Med. 2016 Mar;176(3):395–397. doi: 10.1001/jamainternmed.2015.7554

Cost-Sharing Obligations, High-Deductible Health Plan Growth, and Shopping for Health Care: Enrollees With Skin in the Game

Anna D Sinaiko 1, Ateev Mehrotra 2, Neeraj Sood 3
PMCID: PMC6081744  NIHMSID: NIHMS981850  PMID: 26784644

The rapid growth of high-deductible health plans (HDHP) has been driven in part owing to a belief that cost-sharing obligations (ie, having skin in the game) will encourage health insurance enrollees to shop for health care.1 The wide variation in costs across physicians and hospitals implies considerable opportunity for enrollees to save money by switching to lower-cost providers.2 High-deductible health plan enrollment is associated with lower health care spending.3,4 However, prior studies using health insurance claims data indicate these savings are primarily owing to decreased use of care and not because HDHP enrollees are switching to lower-cost providers.5 Limited prior work has assessed attitudes toward price shopping among HDHP enrollees and whether they were more likely to consider costs when seeking care.

Methods ∣

We surveyed a nationally representative sample of insured US adults between 18 and 64 years of age who used medical care in the last year and compared HDHP enrollees with people in traditional plans on rates of shopping for care. The sample was drawn from GfK’s online KnowledgePanel (http://www.knowledgenetworks.com/ganp/), generated through a probability-based random sampling of adults and teens recruited via address-based sampling. Those enrolled in the study were then provided Internet access at no cost. The definition of an HDHP was established as a health plan having an individual deductible greater than $1250 or a family deductible greater than $25006 or a health plan that included a health savings account. All analyses were weighted by poststratification weights to be representative of US enrollees in HDHP and non-HDHP plans.

We surveyed enrollees for their attitudes about price shopping, and whether, when they most recently received medical care, enrollees considered going to see another health care professional or if out-of-pocket costs were compared between different health care providers. We used logistic regression to compare enrollees in HDHPs and non-HDHPs, accounting for sociodemographic characteristics.

Results ∣

The response rate was 67.6%, and the study sample included 1951 respondents: 1099 in the HDHP group and 852 in the non-HDHP group. High-deductible health plan enrollment was higher among whites, those employed, those with more education, and those with higher income (Table 1). Overall, 659 of 1099 HDHP enrollees (60%) believe there are large differences in prices and in quality across health care providers, only 185 (17%) think higher price physicians provide higher quality care, and 774 (71%) report that out-of-pocket costs are important when choosing a doctor (Table 2). These perceptions are not significantly different from those held by enrollees in traditional plans. We found that HDHP enrollees are less likely to believe that higher price facilities provide higher quality care than non-HDHP enrollees (n = 179 [16%] vs n = 206 [25%]; P = .001) and more likely to report out-of-pocket costs are important in choice of radiology facility (n = 882 [81%] vs n = 598 [74%]; P = .003) than enrollees in traditional plan. A total of 611 HDHP enrollees (56%) say they would use additional sources of health care price information if available.

Table 1.

Characteristics of Study Sample by Type of Health Plana

Characteristic HDHP, No.(%)
(n = 1099)
Non-HDHP, No.(%)
(n = 852)
P Value
Female, % 450 (54) 592 (55) .69
Age, mean, y 44.8 44.6 .76
Age group, %, y
 18-29 141 (13) 124 (15) .52
 30-39 260 (24) 184 (22)
 40-49 234 (21) 162 (20)
 50-59 326 (30) 224 (27)
 60-64 140 (13) 124 (15)
Education, %
 Less than bachelor degree 619 (56) 522 (64) .007
 Bachelor degree or higher 483 (44) 296 (36)
Race/ethnicity, %
 White, non-Hispanic 887 (79) 543 (66) <0.01
 Black, non-Hispanic 78 (7) 96 (12)
 Other 80 (7) 60 (7)
 Hispanic 76 (7) 119 (15)
Household income, US$, %
 ≤30000 80 (7) 133 (16) <0.01
 30000-60000 265 (24) 198 (24)
 60000-100000 283 (26) 175 (21)
 >100000 474 (43) 312 (38)
Self-reported health status, %
 Very good/excellent 537 (49) 378 (46) .31
 Good 442 (40) 325 (40)
 Fair/poor 122 (11) 115 (14)
Self-reported mental health status, %
 Happy/very happy 704 (64) 551 (68) .34
 Somewhat happy 301 (27) 212 (26)
 Not happy 93 (8) 53 (6)
Employment status, %
 Working 903 (82) 580 (71) <.001
 Not working 198 (18) 237 (29)
Type of insurance plan, %
 Individual 550 (50) 328 (40) <.001
 Family 544 (50) 483(60)

Abbreviation: HDHP, high-deductible health plan.

a

This is an analysis of weighted survey data. An HDHP was defined as having an individual coverage deductible $1250 or greater or a family coverage deductible of $2500 or greater.

Table 2.

Price Shopping Attitude and Behavior by Type of Health Plan

Attitude or Behaviora HDHP, % Non-HDHP, % P Value
Health care prices and quality
 There are large differences in prices for medical careb 60 58 .49
 There are large differences in quality of medical careb 68 64 .19
Regarding choice of physician
 Higher-priced physicians provide higher quality carec 17 20 .21
 Out-of-pocket costs are important when choosing a physiciand 71 68 .17
Regarding choice of facilities
 Higher price facilities provide higher quality carec 16 25 .001
 Out-of-pocket costs are important when choosing a radiology facilityb 81 74 .003
 Would use information on prices if availablec 56 50 .06
During your last use of medical care, did you…
 Consider other health care professionals? 11 10 .67
 Consider other health care professionals and compare costs across health care professionals? 4 3 .37

Abbreviation: HDHP, high-deductible health plan.

a

Attitude or behavior are weighted frequencies. Shopping activities are predicted probabilities based on logistic regression and adjusted for differences in age, sex, health status, income, education, race/ethnicity, employment status, and whether patients have family coverage. An HDHP was defined as having an individual coverage deductible $1250 or greater or a family coverage deductible of $2500 or greater.

b

Corresponds to the share of respondents who reported agree/strongly agree.

c

Corresponds to the share of respondents who reported likely/very likely.

d

Corresponds to the share of respondents who reported important/very important.

During their last use of medical care, HDHP enrollees were no more likely than enrollees in traditional plans to consider going to another health care professional for their care (n = 120 [10.9%] vs n = 85 [10.0%]; P = .67), or to compare out-of-pocket cost differences across health care professionals (n = 42 [3.8%] vs n = 23 [2.7%]; P = .37).

Discussion ∣

Simply increasing a deductible, which gives enrollees skin in the game, appears insufficient to facilitate price shopping. Members of HDHP and traditional plans are equally likely to price shop for medical care, and they hold similar attitudes about health care prices and quality. Despite considerable focus on increasing price transparency,1 HDHP enrollees express interest in greater access to health care price information.

Key limitations of our study are that we did not survey the uninsured or enrollees who did not use medical care. Because respondents report care-seeking behavior up to 12 months prior, recall bias may be an issue. We lack information about enrollee use of quality information. Despite a high level of response, there may be potential bias owing to differences between respondents and nonrespondents.

If encouraging price shopping is a viewed as an important policy goal, then there is a need for greater availability of price information and innovative approaches to enrollee engagement with this information.

Acknowledgments

Funding/Support: This study was supported by internal intuitional funding from Harvard and University of Southern California. Drs Sood and Mehrotra received additional funding from the National Institutes of Health (grant No. 5R01AG043850).

Footnotes

Additional Contributions: We would like to acknowledge Kayleigh Barnes, BA; Katie Dean, BA; and Harlan Pittell, BA, for their excellent research assistance. They were not compensated for their contributions.

Contributor Information

Anna D. Sinaiko, Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.

Ateev Mehrotra, Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.

Neeraj Sood, Schaeffer Center for Health Policy & Economics, University of Southern California, Los Angeles.

References

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