High rates of health information technology use by physicians were only modestly associated with better knowledge of drug costs.
Objective: To examine whether physicians' use of information technology (IT) was associated with better knowledge of drug costs.
Study Design/Methods: A 2007 statewide survey of 247 primary care physicians in Hawaii regarding IT use and self-reported knowledge of formularies, copayments, and retail prices.
Results: Approximately 8 in 10 physicians regularly used IT in clinical care: 60% Internet, 54% e-prescribing, 43% electronic health records (EHRs), and 37% personal digital assistants (PDAs). However, fewer than 1 in 5 often knew drug costs when prescribing, and more than 90% said lack of knowledge of formularies and copayments remained a barrier to considering drug costs for patients. In multivariate analyses adjusting for sex, practice size, years in practice, number of formularies, and use of clinical resources (eg, pharmacists), use of the Internet—but not e-prescribing, EHRs, or PDAs—was associated with physicians reporting slightly better knowledge of copayments (adjusted predicted percentage of 23% vs 11%; P = .04). No type of IT was associated with better knowledge of formularies or retail prices.
Conclusions: Despite high rates of IT use, there was only a modest association between physicians’ use of IT and better knowledge of drug costs. Future investments in health IT should consider how IT design can be improved to make it easier for physicians to access cost information at the point of care.
(Am J Manag Care. 2010;16(4):e105-e110)
In this statewide survey, high rates of health information technology use by physicians were only modestly associated with better knowledge of drug costs.
The United States is preparing to invest billions of dollars in a major reform of its healthcare system.1 A critical step is increasing the use of health information technology (IT).1,2 Although prior studies have focused on the ability of IT to make clinical information (eg, medical history, labs) available at the point of care,3,4 IT systems also can be designed to facilitate physicians’ and patients’ access to accurate and timely cost information.5,6 This access is especially important as policymakers, insurers, physicians, and patients alike grow increasingly concerned with containing healthcare costs.1,7
In this study, we examined the association between physicians’ use of IT and their knowledge of drug costs. Nationally, 26% of patients report nonadherence to medications because of cost.7 Although physicians want to help, they often are hampered by their lack of awareness of drug costs.5,8,9 Health IT can improve physicians’ access to cost information. A 2003 survey found that computerized prescription order entry was associated with physicians having greater knowledge of drug costs,5 but since then information regarding formularies, copayments, and retail prices has increasingly become available via other forms of IT such as the Internet and personal digital assistants (PDAs)10 (see www.epocrates.com, www.uptodate.com, www.medicalletter.com, www.medicare.gov, www.drugstore.com, www.costco.com, and www.walmart.com). Understanding whether different types of IT are currently associated with better knowledge of drug costs can highlight if physicians are already successfully obtaining cost information using health IT, or if further improvements in IT design are needed.
Study Design and Subjects
The study was a 2007 cross-sectional survey of community physicians in Hawaii who provided adult primary care, regularly saw patients, and were likely to face more than 1 formulary in their clinical practice. We initially identified 819 general internists, family physicians, and general practitioners through the Hawaii Medical Association (which records all licensed Hawaii physicians) and local health plans’ lists of participating physicians. We called physicians’ offices to exclude specialists, Kaiser and military physicians (ie, those employed by staff model institutions with a single formulary), hospitalists, academic teaching faculty, residents in training, retired physicians, and physicians without accurate contact information based on phone directory and Internet searches. A total of 460 physicians remained, similar to the number identified in a separate unpublished study using claims from Hawaii’s largest insurer, Hawaii Medical Services Association, which captures approximately 60% of Hawaii’s residents and contracts with the vast majority of local physicians. (These independent claims analyses identified 415 adult primary care physicians who were the main providers for >20 Hawaii Medical Services Association members with diabetes.) We mailed these physicians a 10-minute, 27-item survey with no financial incentives, followed by 3 mailings to nonrespondents. Of 281 participants (61% response rate), 34 were ineligible (eg, saw <20 patients per week); therefore, final analyses were based on 247 participants. The institutional review board at the University of Hawaii approved this study.
Physicians were asked, “Do you regularly use the following IT in clinical care (yes/no)?” for the Internet, electronic health records (EHRs), e-prescribing, and PDAs.3 This question referred to both software (Internet, EHRs, e-prescribing) and hardware (PDAs) forms of IT often used by physicians in clinical settings. Because potential overlaps can exist between different IT types, we allowed physicians to answer yes to all functionalities that applied. For example, physicians who used EHRs with e-prescribing functionality could respond yes to use of both EHR and e-prescribing. We did not ask physicians about the specific functionalities of the IT types that they reported using.
To assess physicians’ use of clinical resources when prescribing, we asked, “Do you regularly use any of these resources to help you choose a medication for your patient (yes/no): peers/consultants, health plans, pharmaceutical representatives, pharmacists, and medical journals?” 11 With respect to knowledge of drug costs, physicians reported how often they knew copayments, formularies, or retail prices, and how often they checked formularies when unsure of coverage or discussed drug costs with patients (almost always, most of the time, some of the time, rarely/never). Physicians also were asked, “How important is it for you to consider the cost of a medication to your patient?” and “How many of your patients do you think have difficulty paying for their medications?” Lastly, physicians reported demographic (age, sex, specialty) and practice (eg, number of formularies, solo vs group practice) characteristics.6,8,9,12,13 The survey was tested for ease of understanding and question comprehension in a convenience sample of 5 physicians.
To examine the association between different types of IT use and drug cost knowledge, we used multivariate logistic regression to predict 3 main outcomes: (1) usually or always knew copayments, (2) usually or always knew retail prices, and (3) had no difficulty in determining formulary coverage. We used the 4 separate IT types as our main predictors: Internet, EHR, e-prescribing, and PDA. In sensitivity analyses, we created a composite IT score by assigning 1 point for each type of IT used and summing these points. The composite score (0 to 4) was not statistically significant in predicting any of the 3 outcomes, and detailed results are not presented.
We adjusted our model for sex, solo versus group practice, years in practice, number of formularies, and use of clinical resources. We excluded age and practice setting because they were highly correlated (r >0.40) with years in practice and solo versus group practice. We excluded provider type because it did not approach significance in bivariate analyses. Results are presented as adjusted predicted percentages with 95% confidence intervals for greater ease of understanding.
Most of the 247 respondents were general internists (55%) and family physicians (36%) in solo (43%) or small practices (48%), and 70% faced 6 or more formularies (Table 1). Nearly all reported that their patients had difficulty paying for medications (99%) and that considering drug costs for patients was important (98%). The majority of respondents (65%) said they discussed medication costs with patients most of the time (49%) or always (16%). The remainder said they discussed these costs sometimes (31%) or rarely (4%).
Use of Information Technology
Approximately 8 in 10 physicians used at least 1 type of IT regularly in clinical care (Table 1): Internet (60%), e-prescribing (54%), EHRs (43%), and PDAs (37%). Nearly two-thirds (62%) regularly used 2 or more IT types. With respect to using clinical resources when choosing medications, physicians reported using information from pharmacists (69%), followed by peers (56%), pharmaceutical representatives (48%), medical journals (46%), and health plans (45%).
Knowledge of Drug Costs
Fewer than 1 in 5 physicians often knew copayments or retail prices when prescribing, and 68% reported difficulty knowing formulary coverage (Table 2). Only 1 in 4 physicians regularly checked formularies when unsure whether a drug was covered. Nearly all said that difficulty knowing formulary coverage (94%) and copayments (91%) were significant barriers to considering drug costs for patients.
Impact of Information Technology
In analyses adjusting for sex, solo versus group practice, years out from training, number of formularies, and use of clinical resources, physicians who regularly used the Internet in clinical care were slightly more likely to report that they usually knew copayments (adjusted predicted percentage of 23% vs 11%; P = .04) (Table 3). Neither EHR, e-prescribing, nor PDA use was significantly associated with physicians reporting better knowledge of copayments. For formulary coverage and retail prices, none of the 4 types of IT were significantly associated with better knowledge.
Physicians who faced 6 or more formularies in clinical care were less likely to know copayments (15% vs 26%; P = .048) and formulary coverage (26% vs 46%; P = .006). However, physicians who used information from health plans reported better knowledge of copayments (25% vs 13%; P = .01) and formulary coverage (40% vs 26%; P =.03). With respect to retail prices, the use of pharmacists approached but did not reach statistical significance in predicting physicians having better knowledge of prices (24% vs 12%; P = .07).
In this statewide survey of primary care physicians, we were surprised that although 8 in 10 participants said they regularly used at least 1 type of health IT in clinical care, we detected only a modest association between IT use and better knowledge of drug costs. Use of the Internet was associated with slightly better knowledge of copayments (23% vs 11%; P = .04). However, even among those who regularly used the Internet, the majority of physicians still reported poor knowledge of drug costs.
We are aware of only 1 prior study that assessed multiple types of IT use and physicians’ knowledge of drug costs. In this 2003 study, Shrank et al surveyed physicians (49.6% response rate) identified from the California Medical Association, whose members represented one-third of California physicians.5 In contrast with the results from our more recent survey, the authors found that “computer order entry” (not further defined) but not Internet use was associated with greater awareness of drug costs.5 Neither that study nor ours represent national samples, but our findings should alert policymakers, insurers, and IT providers to reevaluate, as additional money is spent on health IT,1,2 the ability of current and future IT systems to successfully provide cost information to physicians at the point of care.
Our findings should not discount the potential future usefulness of certain types of IT in increasing physicians’ access to drug cost information.14 Although our participants who reported regularly using e-prescribing did not report better knowledge of drug costs, the integration of formulary information support into prescribing software has been shown to decrease both out-of-pocket and total drug costs.10,15 Fischer et al analyzed claims for 2 Massachusetts insurers 18 months after the implementation of an e-prescribing system with formulary decision support, and found that physicians were more likely to prescribe lower-cost drugs.10 McMullin et al found that use of an e-prescribing system with integrated clinical and cost information decreased the likelihood of physicians prescribing higher-cost drugs from 35.8% (control group) to 17.5% (intervention group).15
At the time of our study, an informal review indicated that several health plans in Hawaii made copayment and formulary information available via the Internet, but not necessarily via EHR, e-prescribing, or PDA. A highly promoted type of e-prescribing software in Hawaii contained formulary information only for the single health plan that sponsored its adoption.16 Thus, we speculate that this may have been why use of the Internet, but not other IT types, was associated with slightly better knowledge of copayments.
This study indicates that improving physicians’ knowledge of drug costs will require more than simply increasing physicians’ use of health IT. Given the financial burden of drug costs on patients, there is a critical need to determine if the problem is that drug cost information is not adequately available via various types of IT, physicians are unaware of its availability, or physicians find such cost information too difficult to use. We did not ask physicians who reported using health IT why they still experienced difficulty accessing drug cost information. However, other studies indicate the issue may be the variability among formularies and out-of-pocket costs from patient to patient, as well as the need for further availability of drug cost information via IT.5,13 Nearly all of our participants recognized the financial burden of drug costs on patients and the importance of considering out-of-pocket drug costs. However, unless health IT is designed to make the costs of drugs (and other medical services) automatically available at the point of care, physicians and patients will likely continue to be hampered in obtaining healthcare that is appropriate from both a cost and a quality perspective.
Among our participants, no single type of IT was used by more than 60% of physicians. National estimates of physicians’ use of different types of IT for clinical care are generally lower than 50%: 41% use the Internet for computerized decision support,4 13% to 26% use EHRs,3,17 10% to 13% use e-prescribing,6,18 and 26% to 47% use PDAs.6,19 Thus, cost information will need to be accessible via multiple IT types to achieve a wider impact in improving physicians’ knowledge of drug costs.
There are several important limitations to this study. We sampled physicians from a single state, and the impact of IT use on physicians’ knowledge of drug costs will vary depending on how well cost information is integrated into local IT systems. Our findings, however, show that in at least 1 state, even physicians with very high levels of IT use still experience substantial problems accessing drug costs, and this issue warrants policy intervention. Our results are based on self-report, and physicians could have overreported or unnderreported their actual use of IT. Physicians reported only whether they regularly used IT in general clinical care; we did not ask specifically about their use of IT to retrieve drug cost information. Further studies are needed to determine whether physicians use IT specifically to access drug cost information and if so, how. If they do not use IT to access drug cost information, the reasons why must be investigated. Physicians also self-reported their knowledge of drug costs, and actual knowledge is likely to be even poorer.11 We focused on busy, community-based primary care physicians, and our results cannot be generalized to specialists or physicians who see fewer patients.5,6
Despite high rates of health IT use in clinical care, there was only a modest association between IT use and physicians reporting better knowledge of drug costs. Policymakers and insurers should examine the integration of cost information into future health IT systems and its usability by community physicians at the point of care.
We would like to thank Ms Allison Imamura for her invaluable help with the project.
Author Affiliations: From the Department of Family Medicine and Community Health (CWT, ALH), University of Hawaii, Honolulu, HI; Pacific Health Research Institute (CWT, RC), Honolulu, HI; RAND Corporation (RHB, EBK, CMM), Santa Monica, CA; Departments of Medicine and Health Services (RHB, CMM), UCLA, Los Angeles, CA; Department of Medicine (GCA), University of Chicago, Chicago, IL; Department of Pharmacy Practice (GCA), University of Illinois at Chicago, Chicago, IL; Department of Family Medicine (EAJ), University of Connecticut, Hartford, CT; and Department of Medicine (RAD), University of California, San Francisco, CA.
Funding Source: Dr Tseng’s work on this study was funded by the Robert Wood Johnson Foundation Generalist Physician Faculty Scholars Program. Dr Dudley’s work was funded by an Investigator Award in Health Policy from the Robert Wood Johnson Foundation. Dr Mangione received support from the Resource Centers for Minority Aging Research/Center for Health Improvement of Minority Elderly (RCMAR/CHIME) funded by the National Institutes of Health/National Institute on Aging (P30 AG021684). The sponsors had no role in study conduct, data analyses, or manuscript preparation.
Author Disclosures: The authors (CWT, RHB, GCA, ALH, EBK, CMM, RC, EAJ, RAD) report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this article.
Authorship Information: Concept and design (CWT, ALH, RAD); acquisition of data (CWT); analysis and interpretation of data (CWT, RHB, GCA, ALH, EBK, RC, RAD); drafting of the manuscript (CWT, RHB, RC, RAD); critical revision of the manuscript for important intellectual content (CWT, RHB, GCA, ALH, EBK, CMM, RC, EAJ, RAD); statistical analysis (CWT, EBK, RC); obtaining funding (CWT, CMM); administrative, technical, or logistic support (CWT, EAJ); and supervision (RHB, CMM).
Address correspondence to: Chien-Wen Tseng, MD, MPH, Department of Family Medicine and Community Health, University of Hawaii, 95-390 Kuahelani Ave, Honolulu, HI 96789. E-mail: firstname.lastname@example.org.
1. Kaiser Family Foundation. Side-by-side comparison of major health care reform proposals. July 10, 2009. http://www.kff.org/healthreform/ sidebyside.cfm. Accessed March 21, 2010.
2. Hillestad R, Bigelow JH. Health Information Technology. Can HIT Lower Costs and Improve Quality? Research Highlights 2005. http:// www.rand.org/pubs/research_briefs/RB9136/index1.html. Accessed March 21, 2010.
3. DesRoches CM, Campbell EG, Rao SR, et al. Electronic health records in ambulatory care—a national survey of physicians. N Engl J Med. 2008;359(1):50-60.
4. Grant RW, Campbell EG, Gruen RL, Ferris TG, Blumenthal D. Prevalence of basic information technology use by U.S. physicians. J Gen Intern Med. 2006;21(11):1150-1155.
5. Shrank WH, Asch SM, Joseph GJ, et al. Physicians’ perceived knowledge of and responsibility for managing patients’ out-of-pocket costs for prescription drugs. Ann Pharmacother. 2006;40(9):1534-1540.
6. Furukawa MF, Ketcham JD, Rimsza ME. Physician practice revenues and use of information technology in patient care. Med Care. 2007;45(2):168-176.
7. Kaiser Family Foundation. Kaiser Health Tracking Poll. Public Opinion on Health Care Issues. June 2009. www.kff.org/kaiserpolls/ upload/7925.pdf. Accessed March 21, 2010.
8. Allan GM, Lexchin J, Wiebe N. Physician awareness of drug cost: a systematic review. PLoS Med. 2007;4(9):e283.
9. Shih YC, Sleath BL. Health care provider knowledge of drug formulary status in ambulatory care settings. Am J Health Syst Pharm. 2004;61(24):2657-2663.
10. Fischer MA, Vogeli C, Stedman M, Ferris T, Brookhart MA, Weissman JS. Effect of electronic prescribing with formulary decision support on medication use and cost. Arch Intern Med. 2008;168(22):2433-2439.
11. Walzak D, Swindells S, Bhardwaj A. Primary care physicians and the cost of drugs: a study of prescribing practices based on recognition and information sources. J Clin Pharmacol. 1994;34(12):1159-1163.
12. Alexander GC, Casalino LP, Tseng CW, McFadden D, Meltzer DO. Barriers to patient-physician communication about out-of-pocket costs. J Gen Intern Med. 2004;19(8):856-860.
13. Landon BE, Reschovsky JD, Blumenthal D. Physicians’ views of formularies: implications for Medicare drug benefit design. Health Aff (Millwood). 2004;23(1):218-226.
14. AHRQ National Resource Center. Health information technology. Best practices transforming quality, safety, and efficacy. http://healthit.ahrq.gov. Accessed March 21, 2010.
15. McMullin ST, Lonergan TP, Rynearson CS. Twelve-month drug cost savings related to use of an electronic prescribing system with integrated decision support in primary care. J Manag Care Pharm. 2005;11(4):322-332.
16. Allscripts Web site. http://www.allscripts.com. Accessed March 21, 2010.
17. Hing ES, Burt CW, Woodwell DA. Electronic medical record use by office-based physicians and their practices: United States, 2006. Adv Data. 2007;(393):1-7.
18. Hing E, Burt CW. Characteristics of office-based physicians and their medical practices: United States, 2005-2006. National Center for Health Statistics. Vital Health Stat. 2008;13(166). http://www.cdc.gov/nchs/data/series/sr_13/sr13_166.pdf. Accessed March 21, 2010.
19. Garritty C, El Emam K. Who’s using PDAs? Estimates of PDA use by health care providers: a systematic review of surveys. J Med Internet Res. 2006;8(2):e7.