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Martin-Misener R, Donald F, Rayner J, Carter N, Kilpatrick K, Ziegler E, Bourgeault I, Bryant-Lukosius D. Factors influencing nurse practitioner panel size in team-based primary care: a qualitative case study. BMC PRIMARY CARE 2024; 25:304. [PMID: 39143488 PMCID: PMC11323452 DOI: 10.1186/s12875-024-02547-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Accepted: 07/29/2024] [Indexed: 08/16/2024]
Abstract
BACKGROUND Lack of access to health care is a worldwide public health crisis. In primary care it has led to increases in the implementation of nurse practitioners and heightened interest in their patient panel capacity. The aim of this study was to examine factors influencing nurse practitioner patient panel size in team-based primary care in Ontario, Canada. METHODS We used a multiple case study design. Eight team-based primary care practices including rural and urban settings were purposively selected as cases. Each case had two or more nurse practitioners with a minimum of two years experience in the primary care setting. Interviews were conducted in-person, audio recorded, transcribed and analysed using content analysis. RESULTS Forty participants, including 19 nurse practitioners, 16 administrators (inclusive of executives, managers, and receptionists), and 5 physicians were interviewed. Patient, provider, organizational, and system factors influenced nurse practitioner patient panel size. There were eight sub-factors: complexity of patients' health and social needs; holistic nursing model of care; nurse practitioner experience and confidence; composition and functioning of the multidisciplinary team; clerical and administrative supports, and nurse practitioner activities and expectations. All participants found it difficult to identify the panel size of nurse practitioners, calling it- "a grey area." Establishing and maintaining a longitudinal relationship that responded holistically to patients' needs was fundamental to how nurse practitioners provided care. Social factors such as gender, poverty, mental health concerns, historical trauma, marginalisation and literacy contributed to the complexity of patients' needs. Participants indicated NPs tried to address all of a patient's concerns at each visit. CONCLUSIONS Nurse practitioners have a holistic approach that incorporates attention to the social determinants of health as well as acute and chronic comorbidities. This approach compels them to try to address all of the needs a patient is experiencing at each visit and reduces their panel size. Multidisciplinary teams have an opportunity to be deliberate when structuring their services across providers to meet more of the health and social needs of empanelled patients. This could enable increases in nurse practitioner panel size.
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Affiliation(s)
- Ruth Martin-Misener
- School of Nursing, Dalhousie University, 5869 University Ave, Box 15000, Halifax, NS, B3H 4R2, Canada.
| | - Faith Donald
- Daphne Cockwell School of Nursing, Toronto Metropolitan University (formerly Ryerson University), Toronto, ON, Canada
| | - Jennifer Rayner
- Alliance for Heathier Communities, Toronto, ON, Canada
- Department of Family and Community Medicine, Health Policy, University of Toronto, Toronto, ON, Canada
| | - Nancy Carter
- School of Nursing, McMaster University, Hamilton, ON, Canada
| | | | - Erin Ziegler
- Daphne Cockwell School of Nursing, Toronto Metropolitan University (formerly Ryerson University), Toronto, ON, Canada
| | - Ivy Bourgeault
- School of Sociological and Anthropological Studies, University of Ottawa, Ottawa, ON, Canada
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation 2023; 148:e9-e119. [PMID: 37471501 DOI: 10.1161/cir.0000000000001168] [Citation(s) in RCA: 256] [Impact Index Per Article: 256.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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Affiliation(s)
| | | | | | | | | | | | - Dave L Dixon
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | - William F Fearon
- Society for Cardiovascular Angiography and Interventions representative
| | | | | | | | - Dhaval Kolte
- AHA/ACC Joint Committee on Clinical Data Standards
| | | | | | | | - Daniel B Mark
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | | | | | | | - Mariann R Piano
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2023; 82:833-955. [PMID: 37480922 DOI: 10.1016/j.jacc.2023.04.003] [Citation(s) in RCA: 96] [Impact Index Per Article: 96.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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4
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Lee WJ, Shah Y, Ku A, Patel N, Salvador M. Evaluating Health Disparities in Radiology Practices in New Jersey: Exploring Radiologist Geographical Distribution. Cureus 2023; 15:e43474. [PMID: 37583547 PMCID: PMC10425128 DOI: 10.7759/cureus.43474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/14/2023] [Indexed: 08/17/2023] Open
Abstract
OBJECTIVE This study aimed to determine if a disproportionate number of radiologists practice in high-income versus low-income counties in New Jersey (NJ), identify which vulnerable populations are most in need of more radiologists, and discuss how these relative differences can ultimately influence health outcomes. METHODS The NJ Health Care Profile, a database overseen and maintained by the Division of Consumer Affairs, was queried for all actively practicing radiologists within the state of NJ. These results were grouped into diagnostic and interventional radiologists followed by further stratification of physicians based on the counties where they currently practice. The median household income and population size of each county for 2021 were obtained from the US Census database. The ratio of the population size of each county over the number of radiologists in that county was used as a surrogate marker for disparities in patient care within the state and was compared between counties grouped by levels of income. RESULTS Of the 1,186 board-certified radiologists actively practicing within the state of NJ, 86% are solely diagnostic radiologists and 14% are interventional radiologists. About 44% of radiologists practice within counties that are within the top one-third of median household income in NJ, 25% practice within counties in the middle one-third, and 31% practice within counties in the bottom one-third. CONCLUSIONS There is a disproportionate number of radiologists practicing in high-income counties as opposed to lower-income counties. A contradiction to this trend was noted in three low-income counties: Essex, Camden, and Atlantic County, all of which exhibited low numbers of individuals per radiologist that rivaled those of higher-income counties. This finding is a concrete measure of successful radiologist recruitment efforts within these counties during the past few years to combat the increased prevalence of disease and associated complications that historically marginalized communities tend to disproportionately exhibit. Other low-income counties should look to what Essex, Camden, and Atlantic County have done to increase radiologist recruitment to levels that rival those of high-income areas.
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Affiliation(s)
- William J Lee
- Radiology, Rutgers University New Jersey Medical School, Newark, USA
| | - Yash Shah
- Radiology, Rutgers University New Jersey Medical School, Newark, USA
| | - Albert Ku
- Radiology, Drexel University College of Medicine, Philadelphia, USA
| | - Nidhi Patel
- Radiology, Rutgers University New Jersey Medical School, Newark, USA
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Bernard ME, Halasy MP, Rushlow DR, Sobolik GJ, Garrison GM, Matthews MR, Allen SV, Thacher TD. The effect of primary care clinician type and care team characteristics on health care costs. J Eval Clin Pract 2022; 28:1055-1060. [PMID: 35434886 DOI: 10.1111/jep.13686] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 03/01/2022] [Accepted: 03/08/2022] [Indexed: 11/29/2022]
Abstract
OBJECTIVE To evaluate health care costs as a function of assigned primary care clinician type and care team characteristics. METHODS Administrative data were collected for 68 family medicine clinicians (40 physicians and 28 nurse practitioners [NPs]/physician assistant [PAs]), on 11 care teams (variable MD, NP and PA on teams), caring for 77,141 patients. We performed a generalized linear mixed multivariable regression model of standardized per member per month (PMPM) median cost as the outcome, with four practice sites included as random effects. RESULTS In bivariate analysis, cost was higher in physicians than NP/PAs, in more complex patients, and associated with emergency department (ED) visit rate. On multivariate analysis, patient complexity, ED visit rate and higher patient experience ratings were independently associated with greater PMPM cost. More time in practice was associated with lower PMPM cost. In the adjusted multivariate model, physicians had 8.3% lower median PMPM costs than NP/PAs (p = 0.046). CONCLUSIONS The primary drivers of greater PMPM cost were patient complexity, ED visits and patient satisfaction.
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Affiliation(s)
- Matthew E Bernard
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | | | - David R Rushlow
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Gerald J Sobolik
- Employee and Community Health, Primary Care and Population Health, Rochester, Minnesota, USA
| | | | - Marc R Matthews
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Summer V Allen
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Thomas D Thacher
- Department of Family Medicine, Mayo Clinic, Rochester, Minnesota, USA
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Lee MT, Mahtta D, Ramsey DJ, Liu J, Misra A, Nasir K, Samad Z, Itchhaporia D, Khan SU, Schofield RS, Ballantyne CM, Petersen LA, Virani SS. Sex-Related Disparities in Cardiovascular Health Care Among Patients With Premature Atherosclerotic Cardiovascular Disease. JAMA Cardiol 2021; 6:782-790. [PMID: 33881448 DOI: 10.1001/jamacardio.2021.0683] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Importance There is a paucity of data regarding secondary prevention care disparities in women with premature and extremely premature atherosclerotic cardiovascular disease (ASCVD), defined as an ASCVD event at 55 years or younger and 40 years or younger, respectively. Objective To evaluate sex-based differences in antiplatelet agents, any statin, high-intensity statin (HIS) therapy, and statin adherence in patients with premature and extremely premature ASCVD. Design, Setting, and Participants This was a cross-sectional, multicenter, nationwide VA health care system-based study with patients enrolled in the Veterans With Premature Atherosclerosis (VITAL) registry. The study assessed patients who had at least 1 primary care visit in the Veterans Affairs (VA) health care system from October 1, 2014, to September 30, 2015. Participants included 147 600 veteran patients with premature ASCVD, encompassing ischemic heart disease (IHD), ischemic cerebrovascular disease (ICVD), and peripheral arterial disease (PAD). Exposures Women vs men with premature and extremely premature ASCVD. Main Outcomes and Measures Antiplatelet use, any statin use, HIS use, and statin adherence (proportion of days covered [PDC] ≥0.8). Results We identified 10 413 women and 137 187 men with premature ASCVD (age ≤55 years) and 1340 women and 8145 men with extremely premature (age ≤40 years) ASCVD. Among patients with premature and extremely premature ASCVD, women represented 7.1% and 14.1% of those groups, respectively. When compared with men, women with premature ASCVD had a higher proportion of African American patients (36.1% vs 23.8%) and lower proportions of Asian patients (0.5% vs 0.7%) and White patients (56.1% vs. 68.1%). In the extremely premature ASCVD group, women had a comparatively higher proportion of African American patients (36.8% vs 23.2%) and lower proportion of White patients (55.0% vs 67.8%) and Asian patients (1.3% vs 1.5%) than men. Among patients with premature IHD, women received less antiplatelet (adjusted odds ratio [AOR], 0.47, 95% CI, 0.45-0.50), any statin (AOR, 0.62; 95% CI, 0.59-0.66), and HIS (AOR, 0.63; 95% CI, 0.59-0.66) therapy and were less statin adherent (mean [SD] PDC, 0.68 [0.34] vs 0.73 [0.31]; β coefficient: -0.02; 95% CI, -0.03 to -0.01) compared with men. Similarly, women with premature ICVD and premature PAD received comparatively less antiplatelet agents, any statin, and HIS. Among patients with extremely premature ASCVD, women also received less antiplatelet therapy (AOR, 0.61; 95% CI, 0.53-0.70), any statin therapy (AOR,0.51; 95% CI, 0.44-0.58), and HIS therapy (AOR, 0.45; 95% CI, 0.37-0.54) than men. There were no sex-associated differences in statin adherence among patients with premature ICVD, premature PAD, or extremely premature ASCVD. Conclusions and Relevance This cross-sectional study revealed that women veterans with premature ASCVD and extremely premature ASCVD receive less optimal secondary prevention cardiovascular care in comparison with men. Women with premature ASCVD, particularly those with IHD, were also less statin adherent. Multidisciplinary and patient-centered interventions are needed to improve these disparities in women.
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Affiliation(s)
- Michelle T Lee
- Health Policy, Quality and Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas.,Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Dhruv Mahtta
- Health Policy, Quality and Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas.,Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - David J Ramsey
- Health Policy, Quality and Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas
| | - Jing Liu
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Arunima Misra
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Khurram Nasir
- Methodist DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, Texas
| | - Zainab Samad
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.,Department of Medicine, The Aga Khan University, Karachi, Pakistan
| | - Dipti Itchhaporia
- Department of Medicine, Cardiology Division, Hoag Memorial Hospital, University of California at Irvine
| | - Safi U Khan
- Department of Medicine, West Virginia University, Morgantown
| | - Richard S Schofield
- Division of Cardiovascular Medicine, University of Florida, Gainesville.,Department of Veterans Affairs Medical Center, Gainesville, Florida
| | - Christie M Ballantyne
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Laura A Petersen
- Health Policy, Quality and Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas.,Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Salim S Virani
- Health Policy, Quality and Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research and Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas.,Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas.,Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
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Rajan SS, Akeroyd JM, Ahmed ST, Ramsey DJ, Ballantyne CM, Petersen LA, Virani SS. Health care costs associated with primary care physicians versus nurse practitioners and physician assistants. J Am Assoc Nurse Pract 2021; 33:967-974. [PMID: 34074952 DOI: 10.1097/jxx.0000000000000555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 11/06/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Significant primary care provider (PCP) shortage exists in the United States. Expanding the scope of practice for nurse practitioners (NPs) and physician assistants (PAs) can help alleviate this shortage. The Department of Veterans' Affairs (VA) has been a pioneer in expanding the role of NPs and PAs in primary caregiving. PURPOSE This study evaluated the health care costs associated with VA patients cared for by NPs and PAs versus primary care physicians (physicians). METHODS A retrospective data analysis using two separate cohorts of VA patients, one with diabetes and the other with cardiovascular disease (CVD), was performed. The associations between PCP type and health care costs were analyzed using ordinary least square regressions with logarithmically transformed costs. RESULTS The analyses estimated 12% to 13% (US dollars [USD] 2,626) and 4% to 5% (USD 924) higher costs for patients assigned to physicians as compared with those assigned to NPs and PAs, after adjusting for baseline patient sociodemographics and disease burden, in the diabetes and CVD cohort, respectively. Given the average patient population size of a VA medical center, these cost differences amount to a total difference of USD 14 million/year per center and USD 5 million/year per center for diabetic and CVD patients, respectively. IMPLICATIONS FOR PRACTICE This study highlights the potential cost savings associated with primary caregiving by NPs and PAs. In light of the PCP shortage, the study supports increased involvement of NPs and PAs in primary caregiving. Future studies examining the reasons for these cost differences by provider type are required to provide more scientific evidence for regulatory decision making in this area.
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Affiliation(s)
- Suja S Rajan
- Department of Management, Policy and Community Heath, School of Public Health, University of Texas Health Science Center at Houston, Houston, Texas
| | - Julia M Akeroyd
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center, Health Services Research and Development Center for Innovations, Houston, Texas
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Sarah T Ahmed
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center, Health Services Research and Development Center for Innovations, Houston, Texas
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - David J Ramsey
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center, Health Services Research and Development Center for Innovations, Houston, Texas
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Christie M Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas
| | - Laura A Petersen
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center, Health Services Research and Development Center for Innovations, Houston, Texas
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center, Health Services Research and Development Center for Innovations, Houston, Texas
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
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8
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Bernard ME, Laabs SB, Nagaraju D, Allen SV, Halasy MP, Rushlow DR, Garrison GM, Maxson JA, Matthews MR, Sobolik GJ, Lampman MA, Foss RM, Rosas SL, Thacher TD. Clinician Care Team Composition and Health Care Utilization. Mayo Clin Proc Innov Qual Outcomes 2021; 5:338-346. [PMID: 33997633 PMCID: PMC8105520 DOI: 10.1016/j.mayocpiqo.2021.01.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Objective To test the hypothesis that a greater proportion of physician time on primary care teams are associated with decreased emergency department (ED) visits, hospital admissions, and readmissions, and to determine clinician and care team characteristics associated with greater utilization. Patients and Methods We retrospectively analyzed administrative data collected from January 1 to December 31, 2017, of 420 family medicine clinicians (253 physicians, 167 nurse practitioners/physician assistants [NP/PAs]) with patient panels in an integrated health system in 59 Midwestern communities serving rural and urban areas in Minnesota, Wisconsin, and Iowa. These clinicians cared for 419,581 patients through 110 care teams, with varying numbers of physicians and NP/PAs. Primary outcome measures were rates of ED visits, hospitalizations, and readmissions. Results The proportion of physician full-time equivalents on the team was unrelated to rates of ED visits (rate ratio [RR] = 0.826; 95% confidence interval [CI], 0.624 to 1.063), hospitalizations (RR = 0.894; 95% CI, 0.746 to 1.072), or readmissions (RR = –0.026; 95% CI, 0.364 to 0.312). In separate multivariable models adjusted for clinician and practice-level characteristics, the rate of ED visits was positively associated with mean panel hierarchical condition category (HCC) score, urban vs rural setting, NP/PA vs physician, and lower years in practice. The rate of inpatient admissions was associated with HCC score, and 30-day hospital readmissions were positively associated with HCC score, lower years in practice, and male clinicians. Conclusion Care team physician and NP/PA composition was not independently related to utilization. More complex panels had higher rates of ED visits, hospitalization, and readmissions. Statistically significant differences between physician and NP/PA panels were only evident for ED visits.
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Affiliation(s)
| | - Susan B Laabs
- Department of Family Medicine, Mayo Clinic, Rochester, MN
| | | | - Summer V Allen
- Department of Family Medicine, Mayo Clinic, Rochester, MN
| | | | | | | | - Julie A Maxson
- Department of Family Medicine, Mayo Clinic, Rochester, MN
| | | | - Gerald J Sobolik
- Department of Health Care Administration, Mayo Clinic, Rochester, MN
| | | | - Randy M Foss
- Department of Family Medicine, Mayo Clinic, Rochester, MN
| | - Steven L Rosas
- Department of Family Medicine, Mayo Clinic, Rochester, MN
| | - Tom D Thacher
- Department of Family Medicine, Mayo Clinic, Rochester, MN
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Mahtta D, Ramsey D, Krittanawong C, Al Rifai M, Khurram N, Samad Z, Jneid H, Ballantyne C, Petersen LA, Virani SS. Recreational substance use among patients with premature atherosclerotic cardiovascular disease. Heart 2021; 107:650-656. [PMID: 33589427 DOI: 10.1136/heartjnl-2020-318119] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Despite an upsurge in the incidence of atherosclerotic cardiovascular diseases (ASCVD) among young adults, the attributable risk of recreational substance use among young patients has been incompletely evaluated. We evaluated the association of all recreational substances with premature and extremely premature ASCVD. METHODS In a cross-sectional analysis using the 2014-2015 nationwide Veterans Affairs Healthcare database and the Veterans wIth premaTure AtheroscLerosis (VITAL) registry, patients were categorised as having premature, extremely premature or non-premature ASCVD. Premature ASCVD was defined as having first ASCVD event at age <55 years for men and <65 years for women. Extremely premature was defined as having first ASCVD event at age <40 years while non-premature ASCVD was defined as having first ASCVD event at age ≥55 years for men and ≥65 years for women. Patients with premature ASCVD (n=135 703) and those with extremely premature ASCVD (n=7716) were compared against patients with non-premature ASCVD (n=1 112 455). Multivariable logistic regression models were used to study the independent association of all recreational substances with premature and extremely premature ASCVD. RESULTS Compared with patients with non-premature ASCVD, patients with premature ASCVD had a higher use of tobacco (62.9% vs 40.6%), alcohol (31.8% vs 14.8%), cocaine (12.9% vs 2.5%), amphetamine (2.9% vs 0.5%) and cannabis (12.5% vs 2.7%) (p<0.01 for all comparisons). In adjusted models, the use of tobacco (OR 1.97, 95% CI 1.94 to 2.00), alcohol (OR 1.50, 95% CI 1.47 to 1.52), cocaine (OR 2.44, 95% CI 2.38 to 2.50), amphetamine (OR 2.74, 95% CI 2.62 to 2.87), cannabis (OR 2.65, 95% CI 2.59 to 2.71) and other drugs (OR 2.53, 95% CI 2.47 to 2.59) was independently associated with premature ASCVD. Patients with polysubstance use had a graded response with the highest risk (~9-fold) of premature ASCVD among patients with use of ≥4 recreational substances. Similar trends were observed among patients with extremely premature ASCVD. Gender interactions with substance use were significant (p-interaction <0.05), with recreational substance use and premature ASCVD showing stronger associations among women than in men with premature ASCVD. CONCLUSIONS All subgroups of recreational substances were independently associated with a higher likelihood of premature and extremely premature ASCVD. Recreational substance use confers a greater magnitude of risk for premature ASCVD among women. A graded response relationship exists between increasing number of recreational substances used and higher likelihood of early-onset ASCVD.
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Affiliation(s)
- Dhruv Mahtta
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, USA.,Section of Cardiology, Department of Medicine, -Baylor College of Medicine, Houston, Texas, USA.,Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - David Ramsey
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, USA
| | - Chayakrit Krittanawong
- Section of Cardiology, Department of Medicine, -Baylor College of Medicine, Houston, Texas, USA
| | - Mahmoud Al Rifai
- Section of Cardiology, Department of Medicine, -Baylor College of Medicine, Houston, Texas, USA
| | - Nasir Khurram
- Division of Cardiovascular Medicine, Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA
| | - Zainab Samad
- Department of Medicine, The Aga Khan University, Karachi, Sindh, Pakistan
| | - Hani Jneid
- Section of Cardiology, Department of Medicine, -Baylor College of Medicine, Houston, Texas, USA.,Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Christie Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Laura A Petersen
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, USA.,Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
| | - Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, Texas, USA .,Section of Cardiology, Department of Medicine, -Baylor College of Medicine, Houston, Texas, USA.,Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA.,Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
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Significant Facility-Level Variation in Utilization of and Adherence with Secondary Prevention Therapies Among Patients with Premature Atherosclerotic Cardiovascular Disease: Insights from the VITAL (Veterans wIth premaTure AtheroscLerosis) Registry7. Cardiovasc Drugs Ther 2021; 36:93-102. [PMID: 33400053 DOI: 10.1007/s10557-020-07125-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/08/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE We investigated facility-level variation in the use and adherence with antiplatelets and statins among patients with premature and extremely premature ASCVD. METHODS Using the 2014-2015 nationwide Veterans wIth premaTure AtheroscLerosis (VITAL) registry, we assessed patients with premature (age at first ASCVD event: males < 55 years, females < 65 years) and extremely premature ASCVD (< 40 years). We examined frequency and facility-level variation in any statin, high-intensity statin (HIS), antiplatelet use (aspirin, clopidogrel, ticagrelor, prasugrel, and ticlopidine), and statin adherence (proportion of days covered ≥ 0.8) across 130 nationwide VA healthcare facilities. Facility-level variation was computed using median rate ratios (MRR), a measure of likelihood that two random facilities differ in use of statins or antiplatelets and statin adherence. RESULTS Our analysis included 135,703 and 7716 patients with premature and extremely premature ASCVD, respectively. Across all facilities, the median (IQR) prescription rate of any statin therapy, HIS therapy, and antiplatelets among patients with premature ASCVD was 0.73 (0.70-0.75), 0.36 (0.32-0.41), and 0.77 (0.73-0.81), respectively. MRR (95% CI) for any statin use, HIS use, and antiplatelet use were 1.53 (1.44-1.60), 1.58 (1.49-1.66), and 1.49 (1.42-1.56), respectively, showing 53, 58, and 49% facility-level variation. The median (IQR) facility-level rate of statin adherence was 0.58 (0.55-0.62) and MRR for statin adherence was 1.13 (1.10-1.15), showing 13% facility-level variation. Similar median facility-level rates and variation were observed among patients with extremely premature ASCVD. CONCLUSIONS There is suboptimal use and significant facility-level variation in the use of statin and antiplatelet therapy among patients with premature and extremely premature ASCVD. Interventions are needed to optimize care and minimize variation among young ASCVD patients.
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11
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Mahtta D, Gupta A, Ramsey DJ, Rifai MA, Mehta A, Krittanawong C, Lee MT, Nasir K, Samad Z, Blumenthal RS, Jneid H, Ballantyne CM, Petersen LA, Virani SS. Autoimmune Rheumatic Diseases and Premature Atherosclerotic Cardiovascular Disease: An Analysis From the VITAL Registry. Am J Med 2020; 133:1424-1432.e1. [PMID: 32598903 DOI: 10.1016/j.amjmed.2020.05.026] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/08/2020] [Accepted: 05/12/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Although the association between autoimmune rheumatic diseases and atherosclerotic cardiovascular disease is well-known, there is a lack of data regarding the role of such disorders in patients with premature and extremely premature atherosclerotic cardiovascular disease. METHODS The Veterans With Premature Atherosclerosis (VITAL) registry, including patients with premature (males <55 years, females <65 years) and extremely premature atherosclerotic cardiovascular disease (<40 years), was created from the 2014-2015 nationwide Veterans Affairs (VA) health care system database. We assessed age at the time of first cardiovascular event to compare patients with premature (n = 135,703) and those with extremely premature atherosclerotic cardiovascular disease (n = 7716) with age-matched patients without atherosclerotic cardiovascular disease (nyoung = 1,153,535, nextremely young = 441,836). We assessed whether systemic lupus erythematosus, rheumatoid arthritis, psoriatic arthritis, and ankylosing spondylitis were independently associated with premature and extremely premature atherosclerotic cardiovascular disease. RESULTS Patients with premature and extremely premature atherosclerotic cardiovascular disease had a higher prevalence of all rheumatic diseases as compared with age-matched patients without atherosclerotic cardiovascular disease. In fully adjusted models, systemic lupus erythematosus (odds ratio [OR]: 1.69, 95% confidence interval [CI]: 1.56-1.83) and rheumatoid arthritis (OR: 1.72, 95% CI: 1.63-1.81) were associated with increased odds of premature atherosclerotic cardiovascular disease. Patients with systemic lupus erythematosus (OR: 3.06, 95% CI: 2.38-3.93) and rheumatoid arthritis (OR: 2.39, 95% CI: 1.85-3.08) also had a higher likelihood of extremely premature atherosclerotic cardiovascular disease. CONCLUSION Patients with systemic lupus erythematosus and rheumatoid arthritis carry higher odds of both premature and extremely premature atherosclerotic cardiovascular disease. Future studies are needed to understand the rheumatic disease-specific factors behind the development and progression of clinical atherosclerotic cardiovascular disease in these young patients.
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Affiliation(s)
- Dhruv Mahtta
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Houston, Tex; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Tex
| | - Angela Gupta
- Department of Medicine, University Hospitals Cleveland Medical Center, and Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - David J Ramsey
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Houston, Tex
| | - Mahmoud Al Rifai
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Tex
| | - Anurag Mehta
- Emory Clinical Cardiovascular Research Institute, Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Ga
| | | | - Michelle T Lee
- Department of Medicine, University of Texas Health Science Center, Houston
| | - Khurram Nasir
- Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Tex
| | - Zainab Samad
- Department of Medicine, The Aga Khan University, Karachi, Pakistan
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Md
| | - Hani Jneid
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Tex; Section of Cardiology, Michael E. DeBakey VA Medical Center, Houston, Tex
| | - Christie M Ballantyne
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Tex; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Tex
| | - Laura A Petersen
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Houston, Tex; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Tex
| | - Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Houston, Tex; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Tex; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Tex; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Tex.
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12
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Mahtta D, Ahmed ST, Ramsey DJ, Akeroyd JM, Lee MT, Rodriguez F, Michos ED, Itchhaporia D, Nasir K, Alam M, Jneid H, Ballantyne CM, Petersen LA, Virani SS. Statin Prescription Rates, Adherence, and Associated Clinical Outcomes Among Women with PAD and ICVD. Cardiovasc Drugs Ther 2020; 34:745-754. [PMID: 32840709 DOI: 10.1007/s10557-020-07057-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/17/2020] [Indexed: 10/23/2022]
Abstract
PURPOSE This study sought to investigate gender-based disparities in statin prescription rates and adherence among patients with peripheral arterial disease (PAD) and ischemic cerebrovascular disease (ICVD). METHODS We identified patients with PAD or ICVD seeking primary care between 2013 and 2014 in the VA healthcare system. We assessed any statin use, high-intensity statin (HIS) use, and statin adherence among women with PAD or ICVD compared with men. We also compared proportion of days covered (PDC) as a measure of statin adherence; PDC ≥ 0.8 deemed a patient statin adherent. Association between statin use (or adherence) and odds of death or myocardial infarction (MI) at 12-month follow-up was also ascertained. RESULTS Our analyses included 192,219 males and 3188 females with PAD and 331,352 males and 10,490 females with ICVD. Women with PAD had lower prescription rates of any statin (68.5% vs. 78.7%, OR 0.68, 95% confidence interval (CI) 0.62-0.75), HIS (21.1% vs. 23.7%, OR 0.88, 95% CI 0.79-0.97), and lower statin adherence (PDC ≥ 0.8: 34.6% vs. 45.5%, OR 0.75, 95% CI 0.69-0.82) compared with men. Similar disparities were seen in ICVD patients. Among female patients with PAD or ICVD, statin adherence was associated with lower odds of MI (OR 0.76, 95% CI 0.59-0.98), while use of any statin (OR 0.71, 95% CI 0.56-0.91) and HIS (OR 0.68, 95% CI 0.48-0.97) was associated with lower odds of death at 12 months. CONCLUSIONS Women with PAD or ICVD had lower odds of receiving any statins, HIS, or being statin adherent. Targeted clinician- and patient-level interventions are needed to study and address these disparities among patients with PAD and ICVD.
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Affiliation(s)
- Dhruv Mahtta
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, USA.,Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Sarah T Ahmed
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, USA
| | - David J Ramsey
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, USA
| | - Julia M Akeroyd
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, USA
| | - Michelle T Lee
- Department of Medicine, University of Texas Health Science Center, Houston, TX, USA
| | - Fatima Rodriguez
- Division of Cardiovascular Medicine and the Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA
| | - Erin D Michos
- Department of Medicine (Cardiology), Johns Hopkins School of Medicine, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Dipti Itchhaporia
- Department of Medicine, Cardiology Division, Hoag Memorial Hospital, University of California, Irvine, Irvine, CA, USA
| | - Khurram Nasir
- Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, TX, USA
| | - Mahboob Alam
- Department of Medicine, Section of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - Hani Jneid
- Department of Medicine, Section of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - Christie M Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.,Department of Medicine, Section of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - Laura A Petersen
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, USA.,Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations in Quality, Effectiveness, and Safety, Houston, TX, USA. .,Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA. .,Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA.
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13
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Utilization and Costs by Primary Care Provider Type: Are There Differences Among Diabetic Patients of Physicians, Nurse Practitioners, and Physician Assistants? Med Care 2020; 58:681-688. [PMID: 32265355 DOI: 10.1097/mlr.0000000000001326] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE The objective of this study was to compare health care utilization and costs among diabetes patients with physician, nurse practitioner (NP), or physician assistant (PA) primary care providers (PCPs). RESEARCH DESIGN AND METHODS Cohort study using Veterans Affairs (VA) electronic health record data to examine the relationship between PCP type and utilization and costs over 1 year in 368,481 adult, diabetes patients. Relationship between PCP type and utilization and costs in 2013 was examined with extensive adjustment for patient and facility characteristics. Emergency department and outpatient analyses used negative binomial models; hospitalizations used logistic regression. Costs were analyzed using generalized linear models. RESULTS PCPs were physicians, NPs, and PAs for 74.9% (n=276,009), 18.2% (n=67,120), and 6.9% (n=25,352) of patients respectively. Patients of NPs and PAs have lower odds of inpatient admission [odds ratio for NP vs. physician 0.90, 95% confidence interval (CI)=0.87-0.93; PA vs. physician 0.92, 95% CI=0.87-0.97], and lower emergency department use (0.67 visits on average for physicians, 95% CI=0.65-0.68; 0.60 for NPs, 95% CI=0.58-0.63; 0.59 for PAs, 95% CI=0.56-0.63). This translates into NPs and PAs having ~$500-$700 less health care costs per patient per year (P<0.0001). CONCLUSIONS Expanded use of NPs and PAs in the PCP role for some patients may be associated with notable cost savings. In our cohort, substituting care patterns and creating similar clinical situations in which they practice, NPs and PAs may have reduced costs of care by up to 150-190 million dollars in 2013.
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14
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Mahtta D, Ramsey DJ, Al Rifai M, Nasir K, Samad Z, Aguilar D, Jneid H, Ballantyne CM, Petersen LA, Virani SS. Evaluation of Aspirin and Statin Therapy Use and Adherence in Patients With Premature Atherosclerotic Cardiovascular Disease. JAMA Netw Open 2020; 3:e2011051. [PMID: 32816031 PMCID: PMC7441361 DOI: 10.1001/jamanetworkopen.2020.11051] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
IMPORTANCE Studies on the use of and adherence to secondary prevention therapies in patients with premature and extremely premature atherosclerotic cardiovascular disease (ASCVD) are lacking. OBJECTIVE To evaluate and compare aspirin use, any statin use, high-intensity statin use, and statin adherence among patients with premature or extremely premature ASCVD compared with patients with nonpremature ASCVD. DESIGN, SETTING, AND PARTICIPANTS This multicenter cross-sectional study used the clinical and administrative data sets of the US Department of Veterans Affairs (VA) to identify adult patients with at least 1 primary care visit in the VA health care system between October 1, 2014, and September 30, 2015. The study cohort comprised patients with ASCVD (ischemic heart disease, peripheral arterial disease, or ischemic cerebrovascular disease) who were enrolled in the Veterans With Premature Atherosclerosis (VITAL) registry. Patients with missing data for date of birth or sex and those with limited life expectancy were excluded. Data were analyzed from November 1, 2019, to January 1, 2020. EXPOSURES Premature (the first ASCVD event occurred at age <55 years for men and age <65 years for women) vs nonpremature (the first ASCVD event occurred at age ≥55 years for men or age ≥65 years for women) ASCVD and extremely premature (the first ASCVD event occurred at age <40 years) vs nonpremature ASCVD. MAIN OUTCOMES AND MEASURES The primary outcomes were aspirin use, any statin use, high-intensity statin use, and statin adherence (measured by proportion of days covered [PDC] ≥0.8). RESULTS Of the 1 248 158 patients identified, 135 703 (10.9%) had premature ASCVD (mean [SD] age, 49.6 [5.8] years; 116 739 men [86.0%]), 1 112 455 (89.1%) had nonpremature ASCVD (mean [SD] age, 69.6 [8.9] years; 1 104 318 men [99.3%]), and 7716 (0.6%) had extremely premature ASCVD (mean [SD] age, 34.2 [4.3] years; 6576 men [85.2%]). Patients with premature ASCVD vs those with nonpremature ASCVD had lower rates of aspirin use (96 468 [71.1%] vs 860 726 [77.4%]; P < .001) and any statin use (98 908 [72.9%] vs 894 931 [80.5%]; P < .001); had a statin PDC of 0.8 or higher (57 306 [57.9%] vs 644 357 [72.0%]; P < .001); and a higher rate of high-intensity statin use (49 354 [36.4%] vs 332 820 [29.9%]; P < .001). Similarly, patients with extremely premature ASCVD were less likely to use aspirin (odds ratio [OR], 0.27; 95% CI, 0.26-0.29), any statin (OR, 0.25; 95% CI, 0.24-0.27), or high-intensity statin (OR, 0.78; 95% CI, 0.74-0.82) and to be statin adherent (OR, 0.44; 95% CI, 0.41-0.47). CONCLUSIONS AND RELEVANCE In this study, patients with premature or extremely premature ASCVD appeared to be less likely to use aspirin or statins and to adhere to statin therapy. This finding warrants further investigation into premature ASCVD and initiatives, including clinician and patient education, to better understand and mitigate the disparities in medication use and adherence.
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Affiliation(s)
- Dhruv Mahtta
- Health Policy, Quality and Informatics Program, Health Services Research and Development, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - David J. Ramsey
- Health Policy, Quality and Informatics Program, Health Services Research and Development, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Mahmoud Al Rifai
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Khurram Nasir
- Methodist DeBakey Heart and Vascular Center, Houston Methodist Hospital, Houston, Texas
| | - Zainab Samad
- Department of Medicine, The Aga Khan University, Karachi, Pakistan
| | - David Aguilar
- Division of Cardiology, University of Texas Health Science Center McGovern Medical School, Houston
| | - Hani Jneid
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | - Christie M. Ballantyne
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Laura A. Petersen
- Health Policy, Quality and Informatics Program, Health Services Research and Development, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
- Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Salim S. Virani
- Health Policy, Quality and Informatics Program, Health Services Research and Development, Center for Innovations in Quality, Effectiveness, and Safety, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
- Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
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15
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Kalra R, Parcha V, Patel N, Bhargava A, Li P, Arora G, Arora P. Implications of Atrial Fibrillation Among Patients With Atherosclerotic Cardiovascular Disease Undergoing Noncardiac Surgery. Am J Cardiol 2020; 125:1836-1844. [PMID: 32331712 DOI: 10.1016/j.amjcard.2020.03.028] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/08/2020] [Accepted: 03/10/2020] [Indexed: 11/25/2022]
Abstract
Atrial fibrillation (AF) is a common perioperative arrhythmia. However, its occurrence and implications remain poorly defined in the setting of noncardiac procedures. We sought to define the incidence, prevalence, and prognostic implications of AF among patients with atherosclerotic cardiovascular disease (ASCVD) undergoing noncardiac surgery. Using a previously validated approach that employed unique patient-linked variables in the New York State Inpatient Database from January 1, 2012, to December 31, 2014, the frequency of new-onset and pre-existing AF was determined in adults with ASCVD aged ≥18 years undergoing noncardiac surgery. The secondary outcomes were stroke within 1 month and all-cause mortality. Using multivariable logistic regression models, the factors and outcomes associated with new-onset AF after noncardiac surgery were assessed. Nine surgical subgroups of major noncardiac surgery served as exposure. A total of 184,775 patients were identified during the study period. Age ≥65, anemia, history of heart failure, valvular heart disease, and thoracic surgery were predictors of new-onset AF after noncardiac surgery. Among 3,806 patients (2.5%) developed new-onset AF and 31,603 (17.5%) patient had pre-existing AF. After multivariable-adjusted modeling, new-onset AF was associated with increased odds of stroke within 1 month (odds ratio: 1.31, 95% confidence interval: 1.12 to 1.53; p < 0.001)], mortality (odds ratio: 3.74; 95% confidence interval: 3.30 to 4.24; p < 0.001) and longer length of stay in the hospital (10 days; interquartile range: 6 to 16 days; p < 0.001). New-onset AF portends a poor prognosis in patients with ASCVD undergoing noncardiac surgeries. The risk profile of patients that develop new-onset AF differs across patient phenotypes and by surgical procedure.
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16
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Berk SI. Time to Care: Primary Care Visit Duration and Value-Based Healthcare. Am J Med 2020; 133:655-656. [PMID: 32017894 DOI: 10.1016/j.amjmed.2019.12.046] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/29/2019] [Accepted: 12/30/2019] [Indexed: 11/28/2022]
Affiliation(s)
- Steven I Berk
- Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY.
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17
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Khera A, Baum SJ, Gluckman TJ, Gulati M, Martin SS, Michos ED, Navar AM, Taub PR, Toth PP, Virani SS, Wong ND, Shapiro MD. Continuity of care and outpatient management for patients with and at high risk for cardiovascular disease during the COVID-19 pandemic: A scientific statement from the American Society for Preventive Cardiology. Am J Prev Cardiol 2020; 1:100009. [PMID: 32835347 PMCID: PMC7194073 DOI: 10.1016/j.ajpc.2020.100009] [Citation(s) in RCA: 74] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 04/22/2020] [Accepted: 04/22/2020] [Indexed: 01/08/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has consumed our healthcare system, with immediate resource focus on the management of high numbers of critically ill patients. Those that fare poorly with COVID-19 infection more commonly have cardiovascular disease (CVD), hypertension and diabetes. There are also several other conditions that raise concern for the welfare of patients with and at high risk for CVD during this pandemic. Traditional ambulatory care is disrupted and many patients are delaying or deferring necessary care, including preventive care. New impediments to medication access and adherence have arisen. Social distancing measures can increase social isolation and alter physical activity and nutrition patterns. Virtually all facility based cardiac rehabilitation programs have temporarily closed. If not promptly addressed, these changes may result in delayed waves of vulnerable patients presenting for urgent and preventable CVD events. Here, we provide several recommendations to mitigate the adverse effects of these disruptions in outpatient care. Angiotensin converting enzyme inhibitors and angiotensin receptor blockers should be continued in patients already taking these medications. Where possible, it is strongly preferred to continue visits via telehealth, and patients should be counselled about promptly reporting new symptoms. Barriers to medication access should be reviewed with patients at every contact, with implementation of strategies to ensure ongoing provision of medications. Team-based care should be leveraged to enhance the continuity of care and adherence to lifestyle recommendations. Patient encounters should include discussion of safe physical activity options and access to healthy food choices. Implementation of adaptive strategies for cardiac rehabilitation is recommended, including home based cardiac rehab, to ensure continuity of this essential service. While the practical implementation of these strategies will vary by local situation, there are a broad range of strategies available to ensure ongoing continuity of care and health preservation for those at higher risk of CVD during the COVID-19 pandemic.
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Affiliation(s)
- Amit Khera
- Division of Cardiology, UT Southwestern Medical Center, Dallas, TX, USA
| | - Seth J. Baum
- Florida Atlantic University, Department of Integrated Medical Sciences, Boca Raton, FL, USA
| | - Ty J. Gluckman
- Center for Cardiovascular Analytics, Research, and Data Science (CARDS), Providence Heart Institute, Providence St. Joseph Health, Portland, OR, USA
| | - Martha Gulati
- Division of Cardiology, University of Arizona College of Medicine- Phoenix, Phoenix, AZ, USA
| | - Seth S. Martin
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Erin D. Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ann Marie Navar
- Division of Cardiology, Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Pam R. Taub
- Division of Cardiovascular Medicine, UC San Diego School of Medicine, La Jolla, CA, USA
| | - Peter P. Toth
- CGH Medical Center, Sterling, IL, Cicarrone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Salim S. Virani
- Division of Cardiology, Baylor College of Medicine and Michael E. DeBakey VA Medical Center, Houston, TX, USA
| | - Nathan D. Wong
- Division of Cardiology, UC Irvine School of Medicine, Irvine, CA, USA
| | - Michael D. Shapiro
- Section of Cardiovascular Medicine, Wake Forest School of Medicine, Winston Salem, NC, USA
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Ahmed ST, Mahtta D, Rehman H, Akeroyd J, Al Rifai M, Rodriguez F, Jneid H, Nasir K, Samad Z, Alam M, Petersen LA, Virani SS. Association between frequency of primary care provider visits and evidence-based statin prescribing and statin adherence: Findings from the Veterans Affairs system. Am Heart J 2020; 221:9-18. [PMID: 31896038 DOI: 10.1016/j.ahj.2019.11.019] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 11/30/2019] [Indexed: 10/25/2022]
Abstract
BACKGROUND Statin use remains suboptimal in patients with atherosclerotic cardiovascular disease (ASCVD). We assessed if the frequency of visits with primary care providers (PCPs) is associated with higher use of evidence-based statin prescriptions and adherence among patients with ASCVD. METHODS We identified patients with ASCVD aged ≥18 years receiving care in 130 facilities and associated community-based outpatient clinics in the entire Veterans Affairs Health Care System between October 1, 2013 and September 30, 2014. Patients were divided into frequent PCP visitors (annual PCP visits ≥ median number of PCP visits for the entire cohort) and infrequent PCP visitors (annual PCP visits < median number of patient visits). We assessed any- and high-intensity statin prescription as well as statin adherence which was defined by proportion of days covered (PDC). RESULTS We included 1,249,061 patients with ASCVD (mean age was 71.9 years; 98.0% male). Median number of annual PCP visits was 3. Approximately 80.1% patients were on statins with 23.8% on high-intensity statins. Mean PDC was 0.715 ± 0.336 with 58.3% patients with PDC ≥0.8. Frequent PCP visitors had higher frequency of statin use (82.2% vs 77.4%), high-intensity statin use (26.4% vs 20.3%), and statin adherence (mean PDC 0.73 vs 0.68; P < .01) compared to infrequent PCP visitors. After adjusting for covariates, frequent PCP visits was associated with greater odds of being on any statin, high intensity statin, and higher statin adherence. CONCLUSION Frequent visits with PCPs is associated with a higher likelihood of any statin use, high intensity statin use, and statin adherence. Further research endeavors are needed to understand the reasons behind these associations.
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de la Puente Pacheco MA, de Oro Aguado CM, Lugo Arias E, Fontecha Pacheco B. The Role of Outpatient Care Accreditation in Enhancing Foreign Patients' Perception of Colombian Medical Tourism: A Quasi-experimental Design. INQUIRY : A JOURNAL OF MEDICAL CARE ORGANIZATION, PROVISION AND FINANCING 2020; 57:46958020976826. [PMID: 33243056 PMCID: PMC7705782 DOI: 10.1177/0046958020976826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 10/30/2020] [Accepted: 11/03/2020] [Indexed: 11/15/2022]
Abstract
This study analyzes whether hospitals accredited by the Joint Commission International in outpatient medical care protocols located in Colombia achieve a higher quality perception from foreign patients compared to others treated in a non-accredited one. A t-test with Welch correction, chi-square test, correlation coefficient of Tau Kendall, pre-test, post-test, complementary questionnaire and a 2 focus groups were used in 178 foreign patients. It was observed that patients treated in accredited hospitals had a higher quality perception than the non-accredited group. However, it was found that an unbalanced application of the 3 variables negatively alters quality judgment. Findings contributes to understanding the Colombian medical tourism in depth using non-conventional instruments.
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Affiliation(s)
| | | | - Elkyn Lugo Arias
- Corporación Universitaria Minuto de
Dios, Uniminuto. Social Development Management Group (DESOGE) of the Economics and
Business Sciences faculty, Barranquilla, Colombia
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Rehman H, Ahmed ST, Akeroyd J, Mahtta D, Jia X, Rifai MA, Nasir K, Jneid H, Khalid MU, Alam M, Toth PP, Virani SS. Relation Between Cardiology Follow-Up Visits, Evidence-Based Statin Prescribing, and Statin Adherence (from the Veterans Affairs Health Care System). Am J Cardiol 2019; 124:1165-1170. [PMID: 31405545 DOI: 10.1016/j.amjcard.2019.07.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 07/07/2019] [Accepted: 07/11/2019] [Indexed: 11/30/2022]
Abstract
Statin use remains suboptimal in patients with atherosclerotic cardiovascular disease (ASCVD). We assessed whether outpatient care with a cardiology provider is associated with evidence-based statin prescription and statin adherence. We identified patients with ASCVD aged ≥18 years receiving primary care in 130 facilities and associated community-based outpatient clinics in the entire Veterans Affairs Health Care System between October 1, 2013 and September 30, 2014. Patients were divided into: (1) patients with at least 1 outpatient cardiology visit and (2) patients with no outpatient cardiology visits in the year before the index primary care visit. We assessed any- and high-intensity statin prescription adjusting for several patient- and facility-level covariates, and statin adherence using proportion of days covered (PDC). We included 1,249,061 patients with ASCVD (mean age: 71.9 years; 98.0% male). After adjusting for covariates, patients who visited a cardiology provider had greater odds of being on a statin (87.4% vs 78.4%; Odds ratio [OR] 1.25, 95% Confidence interval [CI] 1.24 to 1.26), high-intensity statin (34.5% vs 21.2%; OR: 1.21, 95% CI 1.21 to 1.22), and higher statin adherence (mean PDC 0.76 ± 0.29 vs 0.70 ± 0.34, PDC ≥0.8: 62.0% vs 57.3%; OR 1.09, 95% CI 1.09 to 1.11). A dose response relation was seen with a higher number of cardiology visits associated with a higher statin use and statin adherence. In conclusion, compared with outpatient care delivered by primary care providers alone, care delivered by a cardiology provider for patients with ASCVD is associated with a higher likelihood of guideline-based statin use and statin adherence.
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Affiliation(s)
- Hasan Rehman
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas
| | - Sarah T Ahmed
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Julia Akeroyd
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Dhruv Mahtta
- Department of Medicine, University of Florida, Gainesville, Florida
| | - Xiaoming Jia
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Mahmoud Al Rifai
- Department of Medicine, University of Kansas School of Medicine, Wichita, Kankas
| | - Khurram Nasir
- Division of Cardiovascular Medicine, Center for Outcomes & Research Evaluation (CORE), Yale University School of Medicine & Yale New Haven Health, New Haven, Connecticut
| | - Hani Jneid
- Department of Medicine, Division of Cardiology, Baylor College of Medicine Houston, Texas
| | - Mirza U Khalid
- Department of Medicine, Division of Cardiology, Baylor College of Medicine Houston, Texas
| | - Mahboob Alam
- Department of Medicine, Division of Cardiology, Baylor College of Medicine Houston, Texas
| | - Peter P Toth
- Clinical Family and Community Medicine, University of Illinois College of Medicine, Peoria, Illinois; Department of Medicine, Michigan State University College of Osteopathic Medicine, East Lansing, Michigan
| | - Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center Health Services Research & Development Center for Innovations, Houston, Texas; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.
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Virani SS, Akeroyd JM, Ahmed ST, Krittanawong C, Martin LA, Slagle J, Gobbel GT, Matheny ME, Ballantyne CM, Petersen LA. The use of structured data elements to identify ASCVD patients with statin-associated side effects: Insights from the Department of Veterans Affairs. J Clin Lipidol 2019; 13:797-803.e1. [PMID: 31501043 PMCID: PMC8393880 DOI: 10.1016/j.jacl.2019.08.002] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 07/29/2019] [Accepted: 08/04/2019] [Indexed: 12/22/2022]
Abstract
BACKGROUND Accurate identification of patients with statin-associated side effects (SASEs) is critical for health care systems to institute strategies to improve guideline-concordant statin use. OBJECTIVE The objective of this study was to determine whether adverse drug reaction (ADR) entry by clinicians in the electronic medical record can accurately identify SASEs. METHODS We identified 1,248,214 atherosclerotic cardiovascular disease (ASCVD) patients seeking care in the Department of Veterans Affairs. Using an ADR data repository, we identified SASEs in 15 major symptom categories. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were assessed using a chart review of 256 ASCVD patients with identified SASEs, who were not on high-intensity statin therapy. RESULTS We identified 171,189 patients (13.71%) with documented SASEs over a 15-year period (9.9%, 2.7%, and 1.1% to 1, 2, or >2 statins, respectively). Statin use, high-intensity statin use, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol levels were 72%, 28.1%, 99 mg/dL, and 129 mg/dL among those with vs 81%, 31.1%, 84 mg/dL, and 111 mg/dL among those without SASEs. Progressively lower statin and high-intensity statin use, and higher low-density lipoprotein cholesterol and non-high-density lipoprotein cholesterol levels were noted among those with SASEs to 1, 2, or >2 statins. Two-thirds of SASEs were related to muscle symptoms. Sensitivity, specificity, PPV, NPV compared with manual chart review were 63.4%, 100%, 100%, and 85.3%, respectively. CONCLUSION A strategy of using ADR entry in the electronic medical record is feasible to identify SASEs with modest sensitivity and NPV but high specificity and PPV. Health care systems can use this strategy to identify ASCVD patients with SASEs and operationalize efforts to improve guideline-concordant lipid-lowering therapy use in such patients. The sensitivity of this approach can be further enhanced by the use of unstructured text data.
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Affiliation(s)
- Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Health Services Research & Development Center for Innovations, Houston, TX, USA; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
| | - Julia M Akeroyd
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Health Services Research & Development Center for Innovations, Houston, TX, USA; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Sarah T Ahmed
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Health Services Research & Development Center for Innovations, Houston, TX, USA; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Chayakrit Krittanawong
- Department of Internal Medicine, Icahn School of Medicine at Mount Sinai St. Luke's and Mount Sinai West, NY, New York, USA
| | - Lindsey A Martin
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Health Services Research & Development Center for Innovations, Houston, TX, USA; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Jason Slagle
- Department of Anesthesiology, Center for Research and Innovation in Systems Safety, Vanderbilt University School of Medicine, Nashville, TN, USA; Department of Veterans Affairs, Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System, Nashville, TN, USA
| | - Glenn T Gobbel
- Department of Veterans Affairs, Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System, Nashville, TN, USA; Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Michael E Matheny
- Department of Veterans Affairs, Geriatric Research, Education and Clinical Center, Tennessee Valley Healthcare System, Nashville, TN, USA; Department of Biomedical Informatics, School of Medicine, Vanderbilt University, Nashville, TN, USA
| | - Christie M Ballantyne
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, TX, USA; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
| | - Laura A Petersen
- Health Policy, Quality & Informatics Program, Michael E. DeBakey VA Medical Center, Health Services Research & Development Center for Innovations, Houston, TX, USA; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, TX, USA
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Mishra A, Arora S, Joshi D, Acker W, Kaluski E, Stapleton D. Assessment of Post–Percutaneous Coronary Intervention Ambulatory Care by Advanced Practice Providers. J Nurse Pract 2019. [DOI: 10.1016/j.nurpra.2019.04.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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Aledhaim A, Walker A, Vesselinov R, Hirshon JM, Pimentel L. Resource Utilization in Non-Academic Emergency Departments with Advanced Practice Providers. West J Emerg Med 2019; 20:541-548. [PMID: 31316691 PMCID: PMC6625685 DOI: 10.5811/westjem.2019.5.42465] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Revised: 05/09/2019] [Accepted: 05/17/2019] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Advanced practice providers (APP), including physicians' assistants and nurse practitioners, have been increasingly incorporated into emergency department (ED) staffing over the past decade. There is scant literature examining resource utilization and the cost benefit of having APPs in the ED. The objectives of this study were to compare resource utilization in EDs that use APPs in their staffing model with those that do not and to estimate costs associated with the utilized resources. METHODS In this five-year retrospective secondary data analysis of the Emergency Department Benchmarking Alliance (EDBA), we compared resource utilization rates in EDs with and without APPs in non-academic EDs. Primary outcomes were hospital admission and use of computed tomography (CT), radiography, ultrasound, and magnetic resonance imaging (MRI). Costs were estimated using the 2014 physician fee schedule and inpatient payments from the Centers for Medicare and Medicaid Services. We measured outcomes as rates per 100 visits. Data were analyzed using a mixed linear model with repeated measures, adjusted for annual volume, patient acuity, and attending hours. We used the adjusted net difference to project utilization costs between the two groups per 1000 visits. RESULTS Of the 1054 EDs included in this study, 79% employed APPs. Relative to EDs without APPs, EDs staffing APPs had higher resource utilization rates (use per 100 visits): 3.0 more admissions (95% confidence interval [CI], 2.0-4.1), 1.7 more CTs (95% CI, 0.2-3.1), 4.5 more radiographs (95% CI, 2.2-6.9), and 1.0 more ultrasound (95% CI, 0.3-1.7) but comparable MRI use 0.1 (95% CI, -0.2-0.3). Projected costs of these differences varied among the resource utilized. Compared to EDs without APPs, EDs with APPs were estimated to have 30.4 more admissions per 1000 visits, which could accrue $414,717 in utilization costs. CONCLUSION EDs staffing APPs were associated with modest increases in resource utilization as measured by admissions and imaging studies.
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Affiliation(s)
- Ali Aledhaim
- University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland
| | - Anne Walker
- Stanford University School of Medicine, Department of Emergency Medicine, Stanford, California
| | - Roumen Vesselinov
- University of Maryland School of Medicine, STAR and National Study Center, Baltimore, Maryland
| | - Jon Mark Hirshon
- University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland
| | - Laura Pimentel
- University of Maryland School of Medicine, Department of Emergency Medicine, Baltimore, Maryland
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Morgan PA, Smith VA, Berkowitz TSZ, Edelman D, Van Houtven CH, Woolson SL, Hendrix CC, Everett CM, White BS, Jackson GL. Impact Of Physicians, Nurse Practitioners, And Physician Assistants On Utilization And Costs For Complex Patients. Health Aff (Millwood) 2019; 38:1028-1036. [DOI: 10.1377/hlthaff.2019.00014] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Affiliation(s)
- Perri A. Morgan
- Perri A. Morgan is a professor in the Department of Family Medicine and Community Health, Physician Assistant Program, and Department of Population Health Sciences, Duke University School of Medicine, in Durham, North Carolina
| | - Valerie A. Smith
- Valerie A. Smith is an assistant professor in the Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs (VA) Health Care System, and the Department of Population Health Sciences and Division of General Internal Medicine, Duke University School of Medicine
| | - Theodore S. Z. Berkowitz
- Theodore S. Z. Berkowitz is a statistician in the Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System
| | - David Edelman
- David Edelman is a professor in the Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, and the Division of General Internal Medicine, Duke University School of Medicine
| | - Courtney H. Van Houtven
- Courtney H. Van Houtven is a research scientist in the Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, and the Department of Population Health Sciences, Duke University School of Medicine
| | - Sandra L. Woolson
- Sandra L. Woolson is a statistician in the Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System
| | - Cristina C. Hendrix
- Cristina C. Hendrix is an associate professor in the Geriatric Research, Education, and Clinical Center, Durham VA Health Care System and Duke University School of Nursing
| | - Christine M. Everett
- Christine M. Everett is an associate professor in the Department of Family Medicine and Community Health, Physician Assistant Program, and Department of Population Health Sciences, Duke University School of Medicine
| | - Brandolyn S. White
- Brandolyn S. White is a research health science specialist in the Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System
| | - George L. Jackson
- George L. Jackson is an associate professor in the Center of Innovation to Accelerate Discovery and Practice Transformation, Durham VA Health Care System, and the Department of Population Health Sciences and Division of General Internal Medicine, Duke University School of Medicine
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Navaneethan SD, Akeroyd JM, Ramsey D, Ahmed ST, Mishra SR, Petersen LA, Muntner P, Ballantyne C, Winkelmayer WC, Ramanathan V, Virani SS. Facility-Level Variations in Kidney Disease Care among Veterans with Diabetes and CKD. Clin J Am Soc Nephrol 2018; 13:1842-1850. [PMID: 30498000 PMCID: PMC6302320 DOI: 10.2215/cjn.03830318] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 09/01/2018] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND OBJECTIVES Facility-level variation has been reported among veterans receiving care for various diseases. We studied the frequency and facility-level variations of guideline-recommended practices in patients with diabetes and CKD. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS Patients with diabetes and concomitant CKD (eGFR 15-59 ml/min per 1.73 m2, measured twice, 90 days apart) receiving care in 130 facilities across the Veterans Affairs Health Care System were included (n=281,223). We studied the proportions of patients (facility-level) receiving recommended core measures and facility-level variations of these study outcomes using median rate ratios, adjusting for various patient and provider-level factors. Median rate ratio quantifies the degree to which care may vary for similar patients receiving care at two randomly chosen facilities, with <1 being no variation and >1.2 as substantial variation between the facilities. Study outcomes included measurement of urine albumin-to-creatinine ratio/urine protein-to-creatinine ratio and blood hemoglobin concentration, prescription of statins and angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, BP<140/90 mm Hg, and referral to a Veterans Affairs nephrologist (only for those with eGFR<30 ml/min per 1.73 m2). RESULTS Among those with eGFR 30-59 ml/min per 1.73 m2, proportion of patients receiving recommended core measures (median and interquartile range across facilities) were 37% (22%-47%) for urine albumin-to-creatinine ratio/urine protein-to-creatinine ratio, 74% (72%-79%) for hemoglobin measurement, 66% (62%-69%) for angiotensin-converting enzyme inhibitor/angiotensin receptor blocker prescription, 85% (74%-87%) for statin prescription, 47% (42%-53%) for achieving BP<140/90 mm Hg, and 13% (7%-16%) for meeting all outcome measures. Adjusted median rate ratios (95% confidence intervals) were 5.2 (4.1 to 6.4), 2.4 (2.1 to 2.6), 1.3 (1.2 to 1.3), 1.2 (1.2 to 1.3), 1.4 (1.3 to 1.4), and 4.1 (3.3 to 5.0), respectively. Median rate ratios were qualitatively similar in an analysis restricted to those with eGFR 15-29 ml/min per 1.73 m2. CONCLUSIONS Among patients with diabetes and CKD, at facility-level, ordering of laboratory tests, and scheduling of nephrology referrals in eligible patients remains suboptimal, with substantial variations across facilities.
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Affiliation(s)
| | - Julia M. Akeroyd
- Section of Health Services Research, and
- Health Policy, Quality and Informatics Program, Health Services Research and Development Center for Innovations, and
| | - David Ramsey
- Center for Longitudinal and Lifecourse Research, Faculty of Medicine, University of Queensland, Brisbane, Australia; and
| | - Sarah T. Ahmed
- Health Policy, Quality and Informatics Program, Health Services Research and Development Center for Innovations, and
| | - Shiva Raj Mishra
- Center for Longitudinal and Lifecourse Research, Faculty of Medicine, University of Queensland, Brisbane, Australia; and
| | - Laura A. Petersen
- Health Policy, Quality and Informatics Program, Health Services Research and Development Center for Innovations, and
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama
| | - Christie Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
| | | | - Venkat Ramanathan
- Selzman Institute for Kidney Health, Section of Nephrology
- Section of Nephrology
| | - Salim S. Virani
- Section of Health Services Research, and
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas
- Health Policy, Quality and Informatics Program, Health Services Research and Development Center for Innovations, and
- Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas
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Commentaries on health services research. JAAPA 2018. [DOI: 10.1097/01.jaa.0000546482.10184.2f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Commentaries on health services research. JAAPA 2018. [DOI: 10.1097/01.jaa.0000544307.32739.fc] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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