Publication

Peer-Reviewed

Population Health, Equity & Outcomes

September 2025
Volume31
Issue Spec. No. 10
Pages: SP680-SP690

Patient and Physician Perceptions of a Hypercholesterolemia Safety-Net Program

Patients’ misperceptions of statins and physicians’ limited knowledge of a hypercholesterolemia safety-net program warrant additional interventions to reduce barriers and improve care.

ABSTRACT

Objectives: To understand the perceptions of patients and primary care physicians as well as barriers to and facilitators of engaging with a safety-net program for patients with hypercholesterolemia.

Study Design: A cross-sectional telephone survey of patients and qualitative interviews with PCPs.

Methods: Patients’ reasons for adherence or nonadherence to statins and completion of laboratory tests and their perceptions of the safety-net program were ascertained. PCPs were asked to describe their familiarity with the safety-net program and perceived patient barriers to filling a new statin prescription and completing laboratory tests.

Results: Among 59 participating patients, 86% did and 14% did not fill their statin. Patients reported statin adherence because their doctor prescribed it (100%), to lower cholesterol (94%), and to prevent a heart attack/stroke (51%). Reasons for nonadherence included wanting to try lifestyle modification (63%), general medication concerns (50%), and fear of adverse events (38%). Among patients filling their prescription, 94% completed a follow-up lipid panel. Among 14 PCPs interviewed, 8 were aware of the safety-net program. PCPs cited in-basket volume and lack of an automated reminder system as common barriers to following up with patients with high low-density lipoprotein cholesterol levels. PCPs perceived (1) patients’ fear of statins and (2) forgetfulness as the main reasons for not filling their prescriptions and not completing lipid panels, respectively. PCPs suggested that more frequent patient and provider reminders could improve prescription fills and laboratory test completions.

Conclusions: Interventions focused on improving patients’ knowledge of statins and educating PCPs about outreach programs may facilitate patient-provider communication and improve statin adherence.

Am J Manag Care. 2025;31(Spec. No. 10):SP680-SP690. https://doi.org/10.37765/ajmc.2025.89794

_____

Elevated low-density lipoprotein cholesterol (LDL-C) is a primary cause of atherosclerotic cardiovascular disease (ASCVD).1 The prevalence of ASCVD among adults 21 years and older in the US was estimated to be 10% in 2019, with another 3% of adults at very high risk of ASCVD.2 Adults at high risk of ASCVD include those with severe hypercholesterolemia (ie, LDL-C ≥ 190 mg/dL),3,4 which is associated with premature outcomes such as acute myocardial infarction.5 Statins have been shown to be effective at lowering LDL-C and reducing risk of ASCVD, as evidenced by results of several large randomized clinical trials.6,7 The American College of Cardiology/American Heart Association guideline for managing cholesterol recommends high-intensity statins for patients with LDL-C of at least 190 mg/dL.1 However, high-intensity statins in particular have been greatly underutilized for patients with ASCVD and severe hypercholesterolemia in real-world clinical practice.8-11

In April 2019, Kaiser Permanente Southern California (KPSC) implemented a patient outreach initiative as part of the KPSC SureNet Complete Care Support Program,12 which facilitates orders for high-intensity statin prescriptions and lipid panels for adults with an LDL-C of at least 190 mg/dL with the goal of lowering their cholesterol levels.13 Our prior study evaluating the impact of this program found that high-intensity statin order rates improved modestly, with larger relative increases observed in patient prescription fills and laboratory test completions after compared with before program implementation.13 The objective of the current study was to assess perceptions among patients and primary care physicians (PCPs) of the KPSC High LDL-C Statin Start SureNet program as well as barriers to and facilitators of engagement with the program.

METHODS

SureNet Program

The KPSC High LDL-C Statin Start SureNet program uses algorithms to scan electronic health records (EHRs) on a monthly basis to identify adults with a recent LDL-C laboratory result of at least 190 mg/dL and no evidence of a statin fill within the prior 6 months. Care managers send messages through EHRs to patients’ PCPs requesting approval of a pended high-intensity statin order (rosuvastatin 20 mg or atorvastatin 40 mg) and future lipid panel. After orders are approved, letters are sent notifying patients to fill their statin medication and complete their follow-up lipid panel.

Study Setting

The source of the patient population included adults enrolled in KPSC, an integrated health care delivery system with more than 4.6 million members across Southern California. KPSC membership is diverse and representative of the region.14,15 Members’ receipt of outpatient, inpatient, laboratory, and pharmacy services is tracked in an EHR system. Services performed outside KPSC are systematically tracked through submitted billing claims.

Patient Surveys

To avoid potential recall bias, 412 patients who were enrolled in the SureNet program between November 2020 and February 2022 were sampled. The 37 patients who did not fill their statin prescription were matched 10:1 to 375 patients who did fill their prescription. We excluded 54 patients whose preferred language was not English because the surveys were not conducted in other languages, and 35 who were not KPSC members on the date these exclusion criteria were applied. The final sample included 323 patients: 27 who did not fill and 296 who did fill their statin prescription. The goal was to complete 50 surveys.

During July and August 2022, trained research staff contacted all patients who did not fill their statin prescription and then contacted the remaining eligible patients on a rolling basis, with a maximum of 4 call attempts per patient over a 2-week period. Research staff used a telephone survey to ascertain reasons for primary adherence or nonadherence to statins, reasons for laboratory test completion or noncompletion, and perceptions of the SureNet program (eAppendix 1 [eAppendices available at ajmc.com]). Interviewers read a series of statements derived from the published literature16,17 and asked patients to indicate whether each response applied to them (yes/no). In addition, patients reported their level of understanding written medical information and reading of prescription instructions, ranging from “very easy” to “very difficult.” Open-ended responses were recorded verbatim. Patient demographic characteristics and LDL-C measurements were obtained from EHRs using the date closest to the outreach letter.

PCP Interviews

Providers who approved prescription and laboratory orders for at least 1 patient in the SureNet program from 2021 to 2022 were eligible. We had an initial goal of completing 30 interviews or stopping recruitment at the point of data saturation.18

Research staff electronically sent letters of invitation to a random sample of 140 eligible PCPs, with a reminder email sent once a week for 3 weeks to those who did not respond. The interview guide was developed in part based on our previous work assessing provider and patient factors contributing to care gaps.19 Interviewers asked PCPs to describe their familiarity with the SureNet program, perceived patient barriers to filling a new statin prescription and completing follow-up laboratory tests, and challenges and suggested improvements to treating patients with very high LDL-C (eAppendix 2). Interviews were conducted via telephone, digitally recorded, and transcribed.

Analysis

For patient surveys, means and SDs, or proportions, were calculated for demographic characteristics, LDL-C, and redemption of statin prescriptions. Descriptive analyses were conducted by reporting survey response frequencies. For PCP interviews, rapid analysis was used to code responses and develop themes.20 The primary coder (T.N.H.) created a priori structural codes and developed a codebook for the questions from the PCP interview guide. After initial structural codes were developed, 3 transcripts were randomly selected for team coding. During the initial coding phase, the primary and secondary (M.T.M.) coders independently noted any text resulting in new emergent codes. The coders discussed the applicability of the initial structural codes, shared emergent codes, determined the extent of divergence/convergence between code sets, and resolved discrepancies in the coding approach. As a final step, both coders developed a hierarchical summary of key domains and themes. The study protocol was approved by the KPSC Institutional Review Board, and verbal consent was obtained prior to each survey and interview.

RESULTS

Patient Surveys

Demographic and clinical characteristics of the 59 patients who responded to the survey are presented in Table 1. The mean age among all survey respondents was 44 years, and 68% were female. Nearly half were Hispanic, and the majority had at least a high school diploma and an annual household income of $80,000 or more. The mean (SD) LDL-C level prior to and closest to the outreach contact date was 202 (12) mg/dL. Among survey respondents, 86% (n = 51) did and 14% (n = 8) did not pick up their statin prescription. Patients reported picking up the statin because their doctor prescribed it (100%), to lower their cholesterol (94%), and to prevent a heart attack/stroke (51%) (Figure 1). Commonly reported reasons for not picking up the statin included wanting to try lifestyle modification (63%), general concerns about the medication (50%), and thinking it was not needed (50%) (Figure 1). Other reasons included fear of adverse events (38%), not understanding why their PCP prescribed the medication (25%), not understanding the purpose of the medication (13%), or feeling as though they were taking too many medications (13%). Additionally, 10% indicated they were taking over-the-counter or nonprescription products, including dietary supplements or herbs, to lower their cholesterol. Among patients filling their prescription, 94% completed their lipid panel. Patients reported completing the laboratory tests because their doctor told them to (71%), because they thought it was important for their health (70%), and to see if their cholesterol had changed (58%) (Figure 2). Overall, 64% were aware that they could go to any KP facility to get their laboratory work completed without an appointment.

Among all patients, 86% and 100% reported understanding written health information and prescription bottle instructions, respectively. Overall, 7% of patients did not recall being told by their doctor that they had very high cholesterol based on their recent bloodwork, with 1 of these patients not picking up the statin because they did not think it was needed. Although only 22% of patients recalled receiving an outreach letter, 51% preferred this contact method. Other outreach preferences included text messaging (83%), email (63%), and voicemail (58%).

PCP Interviews

We completed semistructured telephone interviews with 14 PCPs. Eight of the PCPs were aware of a KPSC program that sends messages to physicians about patients with elevated LDL-C; however, most were unable to correctly describe the workflow (eg, who sends the alert to the PCP, how patients are notified, and next steps in the outreach process). Two PCPs were well-versed in the details of the program and described each step in the outreach process. Only the 2 PCPs familiar with the SureNet program were asked why they declined to sign a statin order placed by the SureNet program staff; they cited a contraindication (eg, allergy, elevated liver function tests) or that the patient had previously refused the medication.

A high volume of messages and test results in their EHR in-basket was the PCPs’ most cited barrier to following up with patients with very high LDL-C. The time needed to manage high volume in-baskets or multiple in-baskets can result in PCPs overlooking test results or deferring follow-up until a patient has an appointment. An additional barrier noted by a few PCPs was the lack of an automated reminder system notifying them when their patients do not fill their statin prescription. Illustrative quotes can be found in Table 2.

Most PCPs perceived that a general fear of statins was a barrier to patients with high LDL-C filling a new statin prescription. Moreover, most PCPs also believed patients’ concerns are driven by a lack of understanding about the need for statins to reduce the long-term risks of ASCVD and patients’ misconceptions about the long-term effects of statins. A few PCPs noted the importance of educating patients about the benefits of statins as preventive medicine and the safety profile of the medication class. Fear of adverse events, such as myalgias, was also commonly cited as a patient barrier to filling a new statin prescription. Cost was mentioned by 2 PCPs as a perceived barrier to filling a new statin prescription for some patients. They described these patient populations as younger and lower income and, presumably, not eligible for medical assistance.

The most reported reason PCPs perceived that patients with high LDL-C do not complete follow-up lipid panels was forgetfulness, particularly in the absence of a reminder via email, text, or telephone call. In addition, PCPs commonly reported that missed laboratory tests often resulted from patients not being familiar with laboratory hours or the misperception that an appointment is needed for a laboratory test. Two PCPs mentioned that high laboratory co-pays might keep patients from completing follow-up lipid panels, especially if the laboratory test is required every few months.

Although only 2 of the 14 PCPs were explicitly familiar with the SureNet program, all were asked about suggestions for improving the management of high LDL-C. Sending patients automated reminders via text, telephone, or email to fill their statin prescription and complete lipid panels was the most cited suggestion. A few PCPs noted that a reminder system for follow-up lipid panels is a particularly notable unmet need because patients are unable to view laboratory orders in the online patient portal (KP.org) and thus are likely to forget about a future order.

A less commonly mentioned suggestion was to implement a case management program. The PCPs perceived that such a program would improve patients’ knowledge, address patients’ concerns, and provide more coordinated care. For example, nonphysician providers would follow up with patients to educate them about their condition and discuss the medication’s safety profile, which could encourage filling a new statin prescription. Another perceived benefit of a case management program would be batched laboratory orders for patients with comorbid conditions so that multiple tests could be completed during 1 laboratory visit.

DISCUSSION

In our study, the majority of patients reported picking up their statin as instructed in the outreach letter because their PCP prescribed it, to lower their cholesterol, or to prevent a cardiovascular event. Reasons for not picking up the statin included a preference for lifestyle modification, general concerns about statins, and the perception that it was not needed. Most patients also completed their lipid panel, with comparable reasons for completion and noncompletion as described for filling a statin prescription.

Among the PCPs interviewed, most were familiar with the goal of the SureNet program; however, they lacked detailed knowledge about it. Physicians most often perceived that (1) fear of statins driven by a lack of understanding about the benefits and risks and (2) forgetfulness were barriers to patients filling their statin prescriptions or completing follow-up laboratory tests, respectively. Although PCPs also noted cost as a patient barrier to initiating a high-intensity statin, this was not a barrier mentioned by patients, which suggests a potential disconnect between the 2 groups about the affordability of this medication class. To improve the management of patients with high LDL-C, PCPs suggested sending patients automated reminders to fill their statin prescription and to complete lipid panels. Allowing patients to view laboratory orders on the patient portal and providing an interpretation of the laboratory result with the automated reminders may prompt clinicians to discuss the risk-benefit profile of statins and patients to initiate therapy and complete follow-up laboratory tests.21 A few PCPs stated that a case management program would provide additional support to following up with nonadherent patients, improve patients’ knowledge, address patients’ concerns, and provide more coordinated care.

The current study findings align with prior evaluations of patient barriers to filling statin prescriptions.17,22-25 An analysis of 10 focus group discussions among 61 adults with primary statin nonadherence found that patients primarily avoided statins because they wanted to use treatment alternatives such as dietary supplements and lifestyle modification, had a fear of adverse events, and did not perceive the need for a statin.24 The study additionally reported patient resistance to taking medications and inadequate provider communication as minor themes related to primary statin nonadherence. A study of 5693 adults recommended for statin therapy in the Patient and Provider Assessment of Lipid Management registry reported similar barriers to initiating a statin and consistent statin use.22 A survey of 45 health care providers at 21 mainly rural health centers found 60% of the respondents perceived that patients believe the “drawbacks outweigh benefits of statins,” and 47% cited “not enough time with patients to provide proper education about their medical condition and medication.” Open-ended responses included patients’ preference for lifestyle changes over medication as a barrier to statin initiation.25 Despite the recommendation of statin treatment for patients at high risk of CVD,1 the perception that lifestyle modification alone is effective persists as a barrier to effective cholesterol management. Healthy lifestyle is the cornerstone of all ASCVD risk reduction; however, a combination of treatment and lifestyle management is necessary to sufficiently reduce LDL-C levels in patients with LDL-C of at least 190 mg/dL. Negative media attention about adverse events associated with statins is also likely to influence patients’ misperceptions. Our current study findings, together with those of previous studies, suggest that better patient education regarding the risks and benefits of statin therapy may improve statin uptake and possibly follow-up laboratory completion.

Although most PCPs in our study were unfamiliar with the content and processes of the High LDL-C Statin Start SureNet program, they noted that having a discussion with their patients about the need for a high-intensity statin was key to determining willingness to initiate the medication. Limited knowledge among PCPs about the program and the lack of patients’ knowledge about statin therapy may have accounted for the previously reported finding of less-than-optimal improvement in high-intensity statin prescriptions after program implementation.13 These findings suggest that better physician education about the SureNet program may promote physician engagement and improve patient outcomes.

Our prior analysis of outcomes related to the SureNet program suggests the program’s implementation was successful in improving prescription orders, patient medication fills, and follow-up laboratory test completions, in addition to lowering patients’ LDL-C levels.13 Given the automated, passive monitoring of the program with the EHR and minimal intrusion on everyday PCP practice, we conclude that this program would likely be accepted by PCPs and patients in other settings. The SureNet program requires being able to access data on laboratory values and statin prescriptions, which should be available in many other delivery systems. Similar safety-net programs are under development in other health care systems, including a colorectal cancer ambulatory safety-net collaborative.26

Strengths and Limitations

Strengths of the current study include interviews with patients and PCPs from a large, integrated health care delivery system. By including both stakeholder groups, we were able to capture more inclusive suggestions about how to improve the SureNet program. Additionally, the semiqualitative methodology provides supplemental detail to our quantitative findings.13 The setting of an integrated health care delivery system allowed for capture of medication fills and other granular data elements in the EHR that may be unavailable in other health care systems or independent primary care settings. We acknowledge a few limitations. First, patients who responded to the survey might have a more favorable view of their KPSC health care experiences. Second, recall bias is a potential limitation, as there could have been a substantial time lag between when patients received outreach and when surveys were conducted. To minimize this bias, we sampled from the most recently outreached patients. Third, the small patient sample size did not allow for meaningful statistical comparisons. Fourth, surveys were conducted only in English, which may have limited representativeness. Patients who do not speak English may have a higher potential for communication barriers with providers and are likely to yield a high benefit from this automated outreach program. Although out of scope for the current study, future research examining perceptions of the program in these individuals is warranted. The PCPs who were willing to be interviewed may have more favorable views of KPSC, which may not be representative of all PCP perspectives; however, they were sampled to saturation.

CONCLUSIONS

Findings from our study suggest the need for additional interventions to improve patients’ knowledge of the benefits and safety profile of statins and thus minimize their nonadherence. In addition, educating PCPs about existing outreach programs may facilitate patient-provider communication and potentially reduce patients’ misperceptions about statin therapy.

Acknowledgments

The authors would like to acknowledge the participation of Kaiser Permanente Southern California members and physicians and support from the Care Improvement Research Team.

Author Affiliations: Department of Research & Evaluation, Southern California Permanente Medical Group (TNH, MZh, HZ, HD, MZi, MHK, KR, MTM), Pasadena, CA; Department of Health Systems Science (HZ, MHK, KR) and Department of Clinical Science (MHK), Kaiser Permanente Bernard J. Tyson School of Medicine (MAS), Pasadena, CA; Kaiser Permanente West Los Angeles Medical Center (RDS), Los Angeles, CA; Quality and Clinical Analysis, Southern California Permanente Medical Group (TMI), Pasadena, CA; Regional SureNet, Complete Care Support Programs, Southern California Permanente Medical Group (RT), Pasadena, CA.

Source of Funding: This study was funded by the Southern California Permanente Medical Group.

Author Disclosures: The authors’ institution funded the study. Dr Kanter has received an honorarium for advisory committee participation from the University of California, San Francisco; had travel funded by the Accreditation Council for Graduate Medical Education and the National Quality Forum for committee work; and is a member of the Practice Improvement Committee of the Society to Improve Diagnosis in Medicine. Dr Mefford has received grants from Merck & Co unrelated to this manuscript.

Authorship Information: Concept and design (TNH, KR, MTM); acquisition of data (MZh, HZ, HD, MZi, MAS); analysis and interpretation of data (TNH, HZ, HD, MZi, MHK, RDS, TMI, MAS, RT, KR, MTM); drafting of the manuscript (TNH, MTM); critical revision of the manuscript for important intellectual content (TNH, MZh, HZ, HD, MZi, MHK, RDS, TMI, MAS, RT, KR, MTM); statistical analysis (MZh, HZ); obtaining funding (MTM); administrative, technical, or logistic support (TNH, MHK, RDS, TMI, RT); and supervision (MTM).

Send Correspondence to: Matthew T. Mefford, PhD, Kaiser Permanente Southern California, 100 S Los Robles Ave, 2nd Floor, Pasadena, CA 91101. Email: matthew.t.mefford@kp.org.

REFERENCES

  1. Grundy SM, Stone NJ, Bailey AL, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol: a report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation. 2019;139(25):e1082-e1143. doi:10.1161/CIR.0000000000000625
  2. Gu J, Sanchez R, Chauhan A, Fazio S, Wong N. Lipid treatment status and goal attainment among patients with atherosclerotic cardiovascular disease in the United States: a 2019 update. Am J Prev Cardiol. 2022;10:100336. doi:10.1016/j.ajpc.2022.100336
  3. Khera AV, Won HH, Peloso GM, et al. Diagnostic yield and clinical utility of sequencing familial hypercholesterolemia genes in patients with severe hypercholesterolemia. J Am Coll Cardiol. 2016;67(22):2578-2589. doi:10.1016/j.jacc.2016.03.520
  4. Perak AM, Ning H, de Ferranti SD, Gooding HC, Wilkins JT, Lloyd-Jones DM. Long-term risk of atherosclerotic cardiovascular disease in US adults with the familial hypercholesterolemia phenotype. Circulation. 2016;134(1):9-19. doi:10.1161/circulationaha.116.022335
  5. Nanchen D, Gencer B, Muller O, et al. Prognosis of patients with familial hypercholesterolemia after acute coronary syndromes. Circulation. 2016;134(10):698-709. doi:10.1161/circulationaha.116.023007
  6. Cai T, Abel L, Langford O, et al. Associations between statins and adverse events in primary prevention of cardiovascular disease: systematic review with pairwise, network, and dose-response meta-analyses. BMJ. 2021;374:n1537. doi:10.1136/bmj.n1537
  7. Koskinas KC, Siontis GCM, Piccolo R, et al. Effect of statins and non-statin LDL-lowering medications on cardiovascular outcomes in secondary prevention: a meta-analysis of randomized trials. Eur Heart J. 2018;39(14):1172-1180. doi:10.1093/eurheartj/ehx566
  8. Harrison TN, Scott RD, Cheetham TC, et al. Trends in statin use 2009-2015 in a large integrated health system: pre- and post-2013 ACC/AHA guideline on treatment of blood cholesterol. Cardiovasc Drugs Ther. 2018;32(4):397-404. doi:10.1007/s10557-018-6810-1
  9. Rodriguez F, Maron DJ, Knowles JW, Virani SS, Lin S, Heidenreich PA. Association of statin adherence with mortality in patients with atherosclerotic cardiovascular disease. JAMA Cardiol. 2019;4(3):206-213. doi:10.1001/jamacardio.2018.4936
  10. Salami JA, Warraich H, Valero-Elizondo J, et al. National trends in statin use and expenditures in the US adult population from 2002 to 2013: insights from the Medical Expenditure Panel Survey. JAMA Cardiol. 2017;2(1):56-65. doi:10.1001/jamacardio.2016.4700
  11. Schonberger RB, Vallurupalli V, Matlin H, et al. Underuse of statins for secondary prevention of atherosclerotic cardiovascular disease events among ambulatory surgical patients. Prev Med Rep. 2020;18:101085. doi:10.1016/j.pmedr.2020.101085
  12. Danforth KN, Smith AE, Loo RK, Jacobsen SJ, Mittman BS, Kanter MH. Electronic clinical surveillance to improve outpatient care: diverse applications within an integrated delivery system. EGEMS (Wash DC). 2014;2(1):1056. doi:10.13063/2327-9214.1056
  13. Mefford MT, Zhou M, Zhou H, et al. Safety net program to improve statin initiation among adults with high low-density lipoprotein cholesterol. Am J Prev Med. 2023;65(4):687-695. doi:10.1016/j.amepre.2023.04.009
  14. Davis AC, Voelkel JL, Remmers CL, Adams JL, McGlynn EA. Comparing Kaiser Permanente members to the general population: implications for generalizability of research. Perm J. 2023;27(2):87-98. doi:10.7812/TPP/22.172
  15. Koebnick C, Langer-Gould AM, Gould MK, et al. Sociodemographic characteristics of members of a large, integrated health care system: comparison with US Census Bureau data. Perm J. 2012;16(3):37-41. doi:10.7812/TPP/12-031
  16. Gadkari AS, McHorney CA. Medication nonfulfillment rates and reasons: narrative systematic review. Curr Med Res Opin. 2010;26(3):683-705. doi:10.1185/03007990903550586
  17. Harrison TN, Derose SF, Cheetham TC, et al. Primary nonadherence to statin therapy: patients’ perceptions. Am J Manag Care. 2013;19(4):e133-e139.
  18. Guest G, Namey E, Chen M. A simple method to assess and report thematic saturation in qualitative research. PLoS One. 2020;15(5):e0232076. doi:10.1371/journal.pone.0232076
  19. Danforth KN, Hahn EE, Slezak JM, et al. Follow-up of abnormal estimated GFR results within a large integrated health care delivery system: a mixed-methods study. Am J Kidney Dis. 2019;74(5):589-600. doi:10.1053/j.ajkd.2019.05.003
  20. Vindrola-Padros C, Johnson GA. Rapid techniques in qualitative research: a critical review of the literature. Qual Health Res. 2020;30(10):1596-1604. doi:10.1177/1049732320921835
  21. Arvisais-Anhalt S, Ratanawongsa N, Sadasivaiah S. Laboratory results release to patients under the 21st Century Cures Act: the eight stakeholders who should care. Appl Clin Inform. 2023;14(1):45-53. doi:10.1055/a-1990-5157
  22. Bradley CK, Wang TY, Li S, et al. Patient-reported reasons for declining or discontinuing statin therapy: insights from the PALM registry. J Am Heart Assoc. 2019;8(7):e011765. doi:10.1161/JAHA.118.011765
  23. Butalia S, Lee-Krueger RCW, McBrien KA, et al. Barriers and facilitators to using statins: a qualitative study with patients and family physicians. CJC Open. 2020;2(6):530-538. doi:10.1016/j.cjco.2020.07.002
  24. Tarn DM, Barrientos M, Pletcher MJ, et al. Perceptions of patients with primary nonadherence to statin medications. J Am Board Fam Med. 2021;34(1):123-131. doi:10.3122/jabfm.2021.01.200262
  25. Meador M, Bay RC, Anderson E, Roy D, Allgood JA, Lewis JH. Using the Practical Robust Implementation and Sustainability Model (PRISM) to identify and address provider-perceived barriers to optimal statin prescribing and use in community health centers. Health Promot Pract. 2023;24(4):776-787. doi:10.1177/15248399221088592
  26. Moyal-Smith R, Elam M, Boulanger J, et al. Reducing the risk of delayed colorectal cancer diagnoses through an ambulatory safety net collaborative. Jt Comm J Qual Patient Saf. 2024;50(10):690-699. doi:10.1016/j.jcjq.2024.04.008

Newsletter

Stay ahead of policy, cost, and value—subscribe to AJMC for expert insights at the intersection of clinical care and health economics.

Related Videos
Byoung Chul Cho, MD, PhD
Beth Stein, MD, and Ratna Kiran Bhavaraju-Sanka, MD
AJMC Managed Markets Network Logo
CH LogoCenter for Biosimilars Logo