Literature DB >> 25466414

Use patterns of a state health care price transparency web site: what do patients shop for?

Ateev Mehrotra1, Tyler Brannen2, Anna D Sinaiko3.   

Abstract

To help people shop for lower cost providers, several states have created their own price transparency Web sites or passed legislation mandating health plans provide such information. New Hampshire's HealthCost Web site is on the forefront of such initiatives. Despite the growing interest in price transparency, little is known about such efforts, including how often these tools are used and for what reason. We examined the use of New Hampshire HealthCost over a 3-year period. Approximately 1% of the state's residents used the Web site, and the most common searches were for outpatient visits, magnetic resonance imaging (MRI) or computed tomography (CT) scans, and emergency department visits. The results provide a cautionary note on the level of potential interest among consumers in this information but may guide others on practically what are the most "shop-able" services for patients.
© The Author(s) 2014.

Entities:  

Keywords:  New Hampshire HealthCost; Web site; price shopping; price transparency; utilization

Mesh:

Year:  2014        PMID: 25466414      PMCID: PMC5813657          DOI: 10.1177/0046958014561496

Source DB:  PubMed          Journal:  Inquiry        ISSN: 0046-9580            Impact factor:   1.730


Introduction

In an effort to encourage patient consumerism, a multitude of price transparency initiatives have been introduced in the United States.[1] The hope is that patients will use the cost information to choose low-cost providers, thereby decreasing health care spending.[2] We know little about such tools, including how often they are used and for what types of services. To answer these questions, we examined use patterns of the New Hampshire HealthCost Web site. We chose this initiative because it is one of the oldest and among the most user-friendly and comprehensive.[3]

Methods

Established in 2007, the Web site provides the negotiated payment and out-of-pocket costs information for 42 commonly used services. Users select whether they are uninsured or their insurer. Providers within a pre-specified, user-selected distance from the user’s zip code are ranked in descending order by out-of-pocket costs. We partnered with State of New Hampshire (NH) and received access to their Google Analytics–derived Web site usage patterns for a 3-year period, January 2011 to December 2013. We limited our analyses to visitors with an NH Internet Protocol (IP) address who made at least one search. We measured total visitors and unique visitors over 3 years. Unique visitor is defined by a given IP address and a tracking “cookie” on the computer. We determined which services were searched during the visit. Multiple queries of the same service in a search were counted once.

Results

A total of 15 180 visitors to the Web site made 19 237 visits over 3 years. Average visit length was 3.37 minutes. On average, 495 unique visits occurred each month, and the monthly rate has grown slowly (Figure 1).
Figure 1.

Monthly number of unique visitor of price transparency Web site.

Monthly number of unique visitor of price transparency Web site. Of the user searches, 41% were by the uninsured and 59% were by the insured. The three most common groups of services accounted for more than 50% of searches—outpatient visits (22%), magnetic resonance imaging (MRI) or computed tomography (CT) (18%), and emergency department visits (12%) (Table 1). Other common search terms were colonoscopy, obstetric care, and orthopedic surgery. There was significant price variation across providers for these services. Compared with providers at the 10th percentile, prices for providers at the 90th percentile were 61% to 350% higher, across a set of illustrative services (Table 1)
Table 1.

Use Patterns of the New Hampshire HealthCost Price Transparency Web Site From January 2011 Through December 2013.

Queries by category of service[a]Unique pageviews from 2011 to 2013 (N = 30 581)
Price range of illustrative service for uninsured patient in that category across state in 2011
No.%Illustrative example of service in categoryRange of prices across providers ($) (10th percentile, 90th percentile)% difference between 90th vs 10th percentile
Outpatient Office Visit685822Basic Office Visit, 18-49 years old62, 11687
MRI-CT539418MRI–Knee1614, 259261
Emergency Room Visit374012Emergency Room Visit217, 977350
Other Radiology—Mammogram, Ultrasound, Bone Density320010Mammogram327, 53764
Colonoscopy25388Colonoscopy2364, 402370
Plain Film X-Ray21337Chest X-Ray390, 64365
Orthopedic Surgery17846Arthroscopic Knee Surgery7564, 12 49865
Obstetric Care15365Vaginal Birth and New Baby8224, 14 42675
Hernia Repair8473Hernia Repair5162, 11 929131
Cholecystectomy7743Cholecystectomy10 404, 17 22866
Tonsillectomy5232Tonsillectomy With Adenoidectomy5139, 968588
Breast Biopsy4732Breast Biopsy3582, 10 112182
Kidney Stone Removal4381Kidney Stone Removal8520, 21 085147
Dermatologic Problem3431Destruction of Skin Lesion428, 911113

Note. Web site was updated in June of 2014. Currently not all outpatient visits and procedures can be queried. The full list of queries will be re-introduced in several months. MRI = magnetic resonance imaging; CT = computed tomography.

The services are grouped into categories. Individual queries are more detailed (e.g., Head CT with and without contrast).

Use Patterns of the New Hampshire HealthCost Price Transparency Web Site From January 2011 Through December 2013. Note. Web site was updated in June of 2014. Currently not all outpatient visits and procedures can be queried. The full list of queries will be re-introduced in several months. MRI = magnetic resonance imaging; CT = computed tomography. The services are grouped into categories. Individual queries are more detailed (e.g., Head CT with and without contrast).

Conclusions

While slowly growing, overall use of the HealthCost Web site remains low. Approximately 1% of the state’s population visited the site over the 3 years. Given the observed price variation and the many state residents who pay for a large fraction of care out of pocket, one might expect it to be higher. In 2011, 18% were in a high-deductible health plan and 11% were uninsured.[4] The low use is likely driven by low awareness of the site and the fact that many health care services are not elective and therefore do not facilitate price shopping. Given this low use, it appears unlikely such a Web site will reduce costs by driving consumer choice. For the small fraction of people who might use price transparency data, our results help us understand which services are most “shop-able.” These services may be targets for other consumer-directed initiatives such as reference pricing that encourage the use of lower cost providers. Given their typically elective nature, it is not surprising that radiology and office visits are commonly searched services. Notably, many searches were for an emergency room visit, which due to their emergent nature are not presumably well suited to shopping for care. Key limitations of our analysis include limited information about user characteristics and whether use of the Web site affected user’s choice of provider. Our estimate that approximately 1% of the population used the Web site looks at the entire population. The fraction of people receiving a given service (eg, a brain MRI) who used the Web site might be higher than 1%. Also, our focus was on consumer use of the Web site. Price transparency may reduce costs through other mechanisms.[3] For example, providers may reduce prices in response to negative public pressure from being an outlier. Overall, our results provide a cautionary note on the potential impact of price transparency as patient use of price data may be quite low.
  2 in total

1.  A census of state health care price transparency websites.

Authors:  Jeffrey T Kullgren; Katia A Duey; Rachel M Werner
Journal:  JAMA       Date:  2013-06-19       Impact factor: 56.272

2.  Increased price transparency in health care--challenges and potential effects.

Authors:  Anna D Sinaiko; Meredith B Rosenthal
Journal:  N Engl J Med       Date:  2011-03-10       Impact factor: 91.245

  2 in total
  9 in total

1.  Physician Beliefs About Online Reporting of Quality and Experience Data.

Authors:  Tara Lagu; Jacqueline Haskell; Emily Cooper; Daniel A Harris; Anne Murray; Rebekah L Gardner
Journal:  J Gen Intern Med       Date:  2019-08-28       Impact factor: 5.128

2.  State-Sponsored Price Transparency Initiatives for Otolaryngologic Procedures in 2019.

Authors:  Neil S Kondamuri; Krish Suresh; Vinay K Rathi; Elliott D Kozin; Matthew R Naunheim; Roy Xiao; Mark A Varvares
Journal:  JAMA Otolaryngol Head Neck Surg       Date:  2020-04-01       Impact factor: 6.223

3.  Pediatric Price Transparency: Still Opaque With Opportunities for Improvement.

Authors:  Laura J Faherty; Charlene A Wong; Jordyn Feingold; Joan Li; Robert Town; Evan Fieldston; Rachel M Werner
Journal:  Hosp Pediatr       Date:  2017-09-05

4.  Effects of Real-time Prescription Benefit Recommendations on Patient Out-of-Pocket Costs: A Cluster Randomized Clinical Trial.

Authors:  Sunita M Desai; Alan Z Chen; Jiejie Wang; Wei-Yi Chung; Jay Stadelman; Chris Mahoney; Adam Szerencsy; Lisa Anzisi; Ateev Mehrotra; Leora I Horwitz
Journal:  JAMA Intern Med       Date:  2022-09-12       Impact factor: 44.409

5.  Survey of Hospital Chargemaster Transparency.

Authors:  Simone Arvisais-Anhalt; Samuel McDonald; Jason Y Park; Kandice Kapinos; Christoph U Lehmann; Mujeeb Basit
Journal:  Appl Clin Inform       Date:  2021-05-05       Impact factor: 2.342

6.  Online Advertising Increased New Hampshire Residents' Use Of Provider Price Tool But Not Use Of Lower-Price Providers.

Authors:  Sunita M Desai; Sonali Shambhu; Ateev Mehrotra
Journal:  Health Aff (Millwood)       Date:  2021-03       Impact factor: 6.301

7.  Who Uses a Price Transparency Tool? Implications for Increasing Consumer Engagement.

Authors:  Rebecca A Gourevitch; Sunita Desai; Andrew L Hicks; Laura A Hatfield; Michael E Chernew; Ateev Mehrotra
Journal:  Inquiry       Date:  2017-01-01       Impact factor: 1.730

8.  The Secret Menu in Health Care: A Cash Market for Imaging in California.

Authors:  Jordan Epstein; Sean Nicholson; Lucy Xiaolu Wang; Katherine Hempstead; Sam Asin
Journal:  Inquiry       Date:  2020 Jan-Dec       Impact factor: 1.730

9.  Concordance of Disclosed Hospital Prices With Total Reimbursements for Hospital-Based Care Among Commercially Insured Patients in the US.

Authors:  Michal Horný; Paul R Shafer; Stacie B Dusetzina
Journal:  JAMA Netw Open       Date:  2021-12-01
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.