Literature DB >> 27561735

How Primary Care Physicians Integrate Price Information into Clinical Decision-Making.

Katherine H Schiavoni1,2, Lisa Soleymani Lehmann1,3,4,5, Wendy Guan6, Meredith Rosenthal4, Thomas D Sequist1,3,7, Alyna T Chien8,9.   

Abstract

BACKGROUND: Little is known about how primary care physicians (PCPs) in routine outpatient practice use paid price information (i.e., the amount that insurers finally pay providers) in daily clinical practice.
OBJECTIVE: To describe the experiences of PCPs who have had paid price information on tests and procedures for at least 1 year.
DESIGN: Cross-sectional study using semi-structured interviews and the constant comparative method of qualitative analysis. PARTICIPANTS: Forty-six PCPs within an accountable care organization. INTERVENTION: Via the ordering screen of their electronic health record, PCPs were presented with the median paid price for commonly ordered tests and procedures (e.g., blood tests, x-rays, CTs, MRIs). APPROACH: We asked PCPs for (a) their "gut reaction" to having paid price information, (b) the situations in which they used price information in clinical decision-making separate from or jointly with patients, (c) their thoughts on who bore the chief responsibility for discussing price information with patients, and (d) suggestions for improving physician-targeted price information interventions. KEY
RESULTS: Among "gut reactions" that ranged from positive to negative, all PCPs were more interested in having patient-specific price information than paid prices from the practice perspective. PCPs described that when patients' out-of-pocket spending concerns were revealed, price information helped them engage patients in conversations about how to alter treatment plans to make them more affordable. PCPs stated that having price information only slightly altered their test-ordering patterns and that they avoided mentioning prices when advising patients against unnecessary testing. Most PCPs asserted that physicians bear the chief responsibility for discussing prices with patients because of their clinical knowledge and relationships with patients. They wished for help from patients, practices, health plans, and society in order to support price transparency in healthcare.
CONCLUSIONS: Physician-targeted price transparency efforts may provide PCPs with the information they need to respond to patients' concerns regarding out-of-pocket affordability rather than that needed to change test-ordering habits.

Entities:  

Keywords:  health services research; primary care; technology assessment

Mesh:

Year:  2016        PMID: 27561735      PMCID: PMC5215149          DOI: 10.1007/s11606-016-3805-0

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  40 in total

1.  Addressing requests by patients for nonbeneficial interventions.

Authors:  Allan S Brett; Laurence B McCullough
Journal:  JAMA       Date:  2012-01-11       Impact factor: 56.272

2.  Modifying the request behaviour of clinicians.

Authors:  R Gama; P G Nightingale; P M Broughton; M Peters; J G Ratcliffe; G V Bradby; J Berg
Journal:  J Clin Pathol       Date:  1992-03       Impact factor: 3.411

3.  Talking about money: how primary care physicians respond to a patient's question about financial incentives.

Authors:  Steven D Pearson; Tracey Hyams
Journal:  J Gen Intern Med       Date:  2002-01       Impact factor: 5.128

4.  Provider cost transparency alone has no impact on inpatient imaging utilization.

Authors:  Daniel J Durand; Leonard S Feldman; Jonathan S Lewin; Daniel J Brotman
Journal:  J Am Coll Radiol       Date:  2012-12-28       Impact factor: 5.532

5.  Use of laboratory tests and pharmaceuticals. Variation among physicians and effect of cost audit on subsequent use.

Authors:  S A Schroeder; K Kenders; J K Cooper; T E Piemme
Journal:  JAMA       Date:  1973-08-20       Impact factor: 56.272

6.  The doctor's master.

Authors:  N G Levinsky
Journal:  N Engl J Med       Date:  1984-12-13       Impact factor: 91.245

7.  The effect on test ordering of informing physicians of the charges for outpatient diagnostic tests.

Authors:  W M Tierney; M E Miller; C J McDonald
Journal:  N Engl J Med       Date:  1990-05-24       Impact factor: 91.245

8.  Barriers to patient-physician communication about out-of-pocket costs.

Authors:  G Caleb Alexander; Lawrence P Casalino; Chien-Wen Tseng; Diane McFadden; David O Meltzer
Journal:  J Gen Intern Med       Date:  2004-08       Impact factor: 5.128

9.  Effect of cost education, cost audits, and faculty chart review on the use of laboratory services.

Authors:  G D Everett; C S deBlois; P F Chang; T Holets
Journal:  Arch Intern Med       Date:  1983-05

10.  The effects of price information on physicians' test-ordering behavior. Ordering of diagnostic tests.

Authors:  K M Cummings; K B Frisof; M J Long; G Hrynkiewich
Journal:  Med Care       Date:  1982-03       Impact factor: 2.983

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  5 in total

1.  A Randomized Trial of Displaying Paid Price Information on Imaging Study and Procedure Ordering Rates.

Authors:  Alyna T Chien; Lisa Soleymani Lehmann; Laura A Hatfield; Kate E Koplan; Carter R Petty; Anna D Sinaiko; Meredith B Rosenthal; Thomas D Sequist
Journal:  J Gen Intern Med       Date:  2016-12-02       Impact factor: 5.128

2.  Capsule Commentary on Schiavoni et al., How Primary Care Physicians Integrate Price Information into Clinical Decision Making.

Authors:  Maria G Frank
Journal:  J Gen Intern Med       Date:  2017-01       Impact factor: 5.128

3.  The effect of medication cost transparency alerts on prescriber behavior.

Authors:  Craig B Monsen; Joshua M Liao; Barak Gaster; Kevin J Flynn; Thomas H Payne
Journal:  J Am Med Inform Assoc       Date:  2019-10-01       Impact factor: 4.497

4.  Price Transparency for Primary Care Office Visits and Routine Tests: Results From a 2016 Audit Study.

Authors:  Anchita Batra; Molly Candon
Journal:  Inquiry       Date:  2022 Jan-Dec       Impact factor: 1.730

5.  Impact of implementing electronic prior authorization on medication filling in an electronic health record system in a large healthcare system.

Authors:  Julie C Lauffenburger; Cheryl D Stults; Satish Mudiganti; Xiaowei Yan; Lisa M Dean-Gilley; Mengdong He; Angela Tong; Michael A Fischer
Journal:  J Am Med Inform Assoc       Date:  2021-09-18       Impact factor: 7.942

  5 in total

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