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García-Lara RA, Suleiman-Martos S, Dominguez-Vías G, Romero-Béjar JL, Garcia-Morales V, Gómez-Urquiza JL, Suleiman-Martos N. Impact effects of COVID-19 pandemic on chronic disease patients: A longitudinal prospective study. J Clin Nurs 2024; 33:2226-2236. [PMID: 38476057 DOI: 10.1111/jocn.17104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 02/11/2024] [Accepted: 02/28/2024] [Indexed: 03/14/2024]
Abstract
AIMS To assess the effects of COVID-19 pandemic on clinical variables as part of the routine clinical monitoring of patients with chronic diseases in primary care. DESIGN A prospective longitudinal study was conducted in primary care centres of the Andalusian Health Service. METHODS Data were recorded before the pandemic (T1), during the declaration of the state of emergency (T2) and in the transition phase (T3). The Barthel index and the Short Portable Mental Status Questionnaire (SPMSQ) were used to analyse functional and cognitive changes at the three time points. HbA1c, systolic and diastolic blood pressure, heart rate, BMI and lipid levels were assessed as clinical variables. Descriptive statistics and non-parametric chi-square test were used for analysis. STROBE checklist was used for the preparation of this paper. RESULTS A total fo148 patients with chronic conditions were included in the analysis. Data analysis revealed in T2 only significant reductions in BMI, total levels of cholesterol and HDL during the onset of the pandemic. Barthel Index, SPMSQ, blood pressure and triglycerides and LDL levels worsened in T2, and the negative effects were maintained in T3. Compared to pre-pandemic values, HbA1c levels improved in T3, but HDL levels worsened. CONCLUSIONS COVID-19 has drastically disrupted several functional, cognitive and biological variables. These results may be useful in identifying clinical parameters that deserve closer attention in the case of a new health crisis. Further studies are needed to assess the potential impacts of each specific chronic condition. IMPACT Cognitive and functional status, blood pressure and triglycerides and LDL levels worsen in short term, maintaining the negative effects in medium-term.
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Affiliation(s)
- Rubén A García-Lara
- Íllora Health Center, Granada-Metropolitan Health District, Andalusian Health Service, Granada, Spain
- Instituto de Investigación Biosanitaria (ibs.GRANADA), Spain
| | | | - Germán Dominguez-Vías
- Physiology Department, Ceuta Faculty of Health Sciences, University of Granada, Ceuta, Spain
| | | | - Victoria Garcia-Morales
- Biomedicine, Biotechnology and Public Health Department, Physiology Area, Faculty of Medicine, University of Cádiz, Cádiz, Spain
| | | | - Nora Suleiman-Martos
- Nursing Department, Faculty of Health Sciences, University of Granada, Granada, Spain
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Gold R, Cook N, Dankovchik J, Larson AE, Sheppler CR, Boston D, O'Connor PJ, McGrath BM, Stange KC. Cardiovascular disease risk management during COVID-19: in-person vs virtual visits. THE AMERICAN JOURNAL OF MANAGED CARE 2024; 30:e11-e18. [PMID: 38271569 PMCID: PMC10926991 DOI: 10.37765/ajmc.2024.89489] [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] [Indexed: 01/27/2024]
Abstract
OBJECTIVES Limited research has assessed how virtual care (VC) affects cardiovascular disease (CVD) risk management, especially in community clinic settings. This study assessed change in community clinic patients' CVD risk management during the COVID-19 pandemic and CVD risk factor control among patients who had primarily in-person or primarily VC visits. STUDY DESIGN Retrospective interrupted time-series analysis. METHODS Data came from an electronic health record shared by 52 community clinics for index (March 1, 2019, to February 29, 2020) and follow-up (July 1, 2020, to February 28, 2022) periods. Analyses compared follow-up period changes in slope and level of population monthly means of 10-year reversible CVD risk score, blood pressure (BP), and hemoglobin A1c (HbA1c) among patients whose completed follow-up period visits were primarily in person vs primarily VC. Propensity score weighting minimized confounding. RESULTS There were 10,028 in-person and 6593 VC patients in CVD risk analyses, 9874 in-person and 5390 VC patients in BP analyses, and 8221 in-person and 4937 VC patients in HbA1c analyses. The VC group was more commonly younger, female, White, and urban. Mean reversible CVD risk, mean systolic BP, and percentage of BP measurements that were 140/90 mm Hg or higher increased significantly from index to follow-up periods in both groups. Rate of change between these periods was the same for all outcomes in both groups, regardless of care modality. CONCLUSIONS Among community clinic patients with CVD risk, receiving a majority of care in person vs a majority of care via VC was not significantly associated with longitudinal trends in reversible CVD risk score or key CVD risk factors.
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Affiliation(s)
- Rachel Gold
- Kaiser Permanente Center for Health Research, 3800 N Interstate Ave, Portland, OR 97227.
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Livori AC, Lukose D, Bell JS, Webb GI, Ilomäki J. Did Australia's COVID-19 Restrictions Impact Statin Incidence, Prevalence or Adherence? Curr Probl Cardiol 2023; 48:101576. [PMID: 36586705 PMCID: PMC9797214 DOI: 10.1016/j.cpcardiol.2022.101576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Accepted: 12/23/2022] [Indexed: 12/30/2022]
Abstract
COVID-19 restrictions may have an unintended consequence of limiting access to cardiovascular care. Australia implemented adaptive interventions (eg, telehealth consultations, digital image prescriptions, continued dispensing, medication delivery) to maintain medication access. This study investigated whether COVID-19 restrictions in different jurisdictions coincided with changes in statin incidence, prevalence and adherence. Analysis of a 10% random sample of national medication claims data from January 2018 to December 2020 was conducted across 3 Australian jurisdictions. Weekly incidence and prevalence were estimated by dividing the number statin initiations and any statin dispensing by the Australian population aged 18-99 years. Statin adherence was analyzed across the jurisdictions and years, with adherence categorized as <40%, 40%-79% and ≥80% based on dispensing per calendar year. Overall, 309,123, 315,703 and 324,906 people were dispensed and 39,029, 39,816, and 44,979 initiated statins in 2018, 2019, and 2020 respectively. Two waves of COVID-19 restrictions in 2020 coincided with no meaningful change in statin incidence or prevalence per week when compared to 2018 and 2019. Incidence increased 0.3% from 23.7 to 26.2 per 1000 people across jurisdictions in 2020 compared to 2019. Prevalence increased 0.14% from 158.5 to 159.9 per 1000 people across jurisdictions in 2020 compared to 2019. The proportion of adults with ≥80% adherence increased by 3.3% in Victoria, 1.4% in NSW and 1.8% in other states and territories between 2019 and 2020. COVID-19 restrictions did not coincide with meaningful changes in the incidence, prevalence or adherence to statins suggesting adaptive interventions succeeded in maintaining access to cardiovascular medications.
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Affiliation(s)
- Adam C Livori
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia.
| | - Dickson Lukose
- Monash Data Futures Institute, Monash University, Melbourne, VIC, Australia
| | - J Simon Bell
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia; Monash Data Futures Institute, Monash University, Melbourne, VIC, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Geoffrey I Webb
- Monash Data Futures Institute, Monash University, Melbourne, VIC, Australia; Department of Data Science and Artificial Intelligence, Monash University, Melbourne, VIC, Australia
| | - Jenni Ilomäki
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical, Sciences, Monash University, Melbourne, VIC, Australia; Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1280] [Impact Index Per Article: 1280.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Adhikari S, Titus AR, Baum A, Lopez P, Kanchi R, Orstad SL, Elbel B, Lee DC, Thorpe LE, Schwartz MD. Disparities in routine healthcare utilization disruptions during COVID-19 pandemic among veterans with type 2 diabetes. BMC Health Serv Res 2023; 23:41. [PMID: 36647113 PMCID: PMC9842402 DOI: 10.1186/s12913-023-09057-8] [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] [Received: 05/10/2022] [Accepted: 01/10/2023] [Indexed: 01/18/2023] Open
Abstract
BACKGROUND While emerging studies suggest that the COVID-19 pandemic caused disruptions in routine healthcare utilization, the full impact of the pandemic on healthcare utilization among diverse group of patients with type 2 diabetes is unclear. The purpose of this study is to examine trends in healthcare utilization, including in-person and telehealth visits, among U.S. veterans with type 2 diabetes before, during and after the onset of the COVID-19 pandemic, by demographics, pre-pandemic glycemic control, and geographic region. METHODS We longitudinally examined healthcare utilization in a large national cohort of veterans with new diabetes diagnoses between January 1, 2008 and December 31, 2018. The analytic sample was 733,006 veterans with recently-diagnosed diabetes, at least 1 encounter with veterans administration between March 2018-2020, and followed through March 2021. Monthly rates of glycohemoglobin (HbA1c) measurements, in-person and telehealth outpatient visits, and prescription fills for diabetes and hypertension medications were compared before and after March 2020 using interrupted time-series design. Log-linear regression model was used for statistical analysis. Secular trends were modeled with penalized cubic splines. RESULTS In the initial 3 months after the pandemic onset, we observed large reductions in monthly rates of HbA1c measurements, from 130 (95%CI,110-140) to 50 (95%CI,30-80) per 1000 veterans, and in-person outpatient visits, from 1830 (95%CI,1640-2040) to 810 (95%CI,710-930) per 1000 veterans. However, monthly rates of telehealth visits doubled between March 2020-2021 from 330 (95%CI,310-350) to 770 (95%CI,720-820) per 1000 veterans. This pattern of increases in telehealth utilization varied by community type, with lowest increase in rural areas, and by race/ethnicity, with highest increase among non-hispanic Black veterans. Combined in-person and telehealth outpatient visits rebounded to pre-pandemic levels after 3 months. Despite notable changes in HbA1c measurements and visits during that initial window, we observed no changes in prescription fills rates. CONCLUSIONS Healthcare utilization among veterans with diabetes was substantially disrupted at the onset of the pandemic, but rebounded after 3 months. There was disparity in uptake of telehealth visits by geography and race/ethnicity.
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Affiliation(s)
- Samrachana Adhikari
- Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY, 10016, USA.
| | - Andrea R. Titus
- grid.137628.90000 0004 1936 8753Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY 10016 USA
| | - Aaron Baum
- grid.59734.3c0000 0001 0670 2351Department of Global Health, Icahn School of Medicine at Mount Sinai, New York, NY USA
| | - Priscilla Lopez
- grid.137628.90000 0004 1936 8753Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY 10016 USA
| | - Rania Kanchi
- grid.137628.90000 0004 1936 8753Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY 10016 USA
| | - Stephanie L. Orstad
- grid.137628.90000 0004 1936 8753Department of Medicine, New York University Grossman School of Medicine, New York, NY USA
| | - Brian Elbel
- grid.137628.90000 0004 1936 8753Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY 10016 USA ,grid.137628.90000 0004 1936 8753Wagner Graduate School of Public Service, New York University, New York, NY USA
| | - David C. Lee
- grid.137628.90000 0004 1936 8753Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY 10016 USA ,grid.137628.90000 0004 1936 8753Ronald O. Perelman Department of Emergency Medicine, NYU Grossman School of Medicine, New York, NY USA
| | - Lorna E. Thorpe
- grid.137628.90000 0004 1936 8753Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY 10016 USA
| | - Mark D. Schwartz
- grid.137628.90000 0004 1936 8753Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, 4th Floor, #4-54, New York, NY 10016 USA ,grid.413926.b0000 0004 0420 1627VA New York Harbor Healthcare System, New York, NY USA
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Rose AJ, Mor EE, Krieger M, Ben-Yehuda A, Cohen A, Matz E, Ratson EB, Bareket R, Paltiel O, Calderon-Margalit R. Israeli COVID Lockdowns Mildly Reduced Overall Use of Preventive Health Services, But Exacerbated Some Disparities. Int J Qual Health Care 2022; 34:6692292. [PMID: 36062971 PMCID: PMC9494393 DOI: 10.1093/intqhc/mzac071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Revised: 06/09/2022] [Accepted: 09/04/2022] [Indexed: 11/13/2022] Open
Abstract
Background During 2020, Israel experienced two COVID-19-related lockdowns that impacted the provision of primary and secondary preventive care. Methods We examined the month-by-month performance of selected preventive care services using data from Israel’s national Quality Indicators in Community Healthcare program. Process of care measures included hemoglobin A1c (HbA1c) testing, cholesterol testing, colon cancer screening and mammography. Intermediate outcome measures included low-density lipoprotein control and HbA1c control. Measures were stratified by sex and by area-level socioeconomic position (SEP). Diabetes and mammography are presented in this abstract due to space limitations. Results Annual HbA1c testing among persons with diabetes decreased from 90.9% in 2019 to 88.0% in 2020. Performance of HbA1c tests during lockdown months was as low as half the usual amount. There were compensatory increases in testing during post-lockdown months that did not quite make up for the missed tests. In 2019, 9.0% of Israelis with diabetes had poor glycemic control (HbA1c ≥ 9.0); in 2020, it was 8.8%. In total, 4.5% fewer mammograms were performed in 2020 compared with 2019. Women in the lowest SEP level performed 10.4% fewer mammograms in 2020 than in 2019, while women in the highest SEP level performed 3.1% more mammograms. Conclusions Prolonged COVID lockdowns in 2020 were associated with marked decreases in the performance of preventive health services during those months. Compensatory spikes following the end of lockdowns partly, but did not completely, make up for the missed care. COVID lockdowns may have exacerbated socioeconomic disparities in some preventive health services.
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Affiliation(s)
- Adam J Rose
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Eliana Ein Mor
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Michal Krieger
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Arie Ben-Yehuda
- Hadassah Medical Organization, Jerusalem, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Arnon Cohen
- Clalit Health Services, Tel Aviv, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Eran Matz
- Leumit Health Services, Tel Aviv, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Edna Bar Ratson
- Maccabi Health Services, Tel Aviv, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Ronen Bareket
- Meuhedet Health Services, Tel Aviv, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
| | - Ora Paltiel
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel.,Hadassah Medical Organization, Jerusalem, Israel
| | - Ronit Calderon-Margalit
- Braun School of Public Health and Community Medicine, Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel.,National Program for Quality Indicators in Community Healthcare in Israel, Jerusalem, Israel
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8
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2480] [Impact Index Per Article: 1240.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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9
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Duffy E, Chilazi M, Cainzos-Achirica M, Michos ED. Cardiovascular Disease Prevention During the COVID-19 Pandemic: Lessons Learned and Future Opportunities. Methodist Debakey Cardiovasc J 2021; 17:68-78. [PMID: 34824683 PMCID: PMC8588760 DOI: 10.14797/mdcvj.210] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 06/12/2021] [Indexed: 01/04/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has been the defining healthcare issue since its outbreak, consuming healthcare systems and disrupting all aspects of human life throughout 2020 and continuing through 2021. When reviewing cardiovascular disease (CVD) prevention throughout the COVID-19 pandemic, the first tendency may be to focus on the negative disruption. Months of quarantine, isolation, and missed healthcare visits or delayed care may have exacerbated the epidemic of CVD in the United States. Looking back, however, perhaps it wasn't a lost year as much as a health crisis that better prepared us for the battle to improve cardiovascular health. The pandemic brought new platforms for interacting with patients eager to engage, presenting a unique opportunity to reset how we approach preventive care. In this review, we discuss what the pandemic has taught us about caring for those vulnerable patients who were most afflicted-older adults, persons of color, and people facing adverse socioeconomic circumstances-and who continue to be impacted by CVD. We also identify opportunities for enhanced CVD prevention now boosted by the overnight adoption of telemedicine and other innovative cardiac care models. Lastly, we discuss how the COVID-19 pandemic has motivated physicians and patients alike to prioritize our health above all else, if only transiently, and how we can leverage this increased health awareness and investment into long-term, meaningful disease prevention.
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Affiliation(s)
- Eamon Duffy
- Johns Hopkins University School of Medicine, Baltimore, Maryland, US
| | - Michael Chilazi
- Johns Hopkins University School of Medicine, Baltimore, Maryland, US
| | - Miguel Cainzos-Achirica
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, US.,Center for Outcomes Research, Houston Methodist, Houston, Texas, US
| | - Erin D Michos
- Johns Hopkins University School of Medicine, Baltimore, Maryland, US.,Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, US
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Mizuno A, Patel MS, Park SH, Hare AJ, Harrington TO, Adusumalli S. Statin Prescribing Patterns During In-Person and Telemedicine Visits Before and During the COVID-19 Pandemic. Circ Cardiovasc Qual Outcomes 2021; 14:e008266. [PMID: 34551588 DOI: 10.1161/circoutcomes.121.008266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Atsushi Mizuno
- Penn Medicine Nudge Unit (A.M., M.S.P., S.-H.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia
| | - Mitesh S Patel
- Penn Medicine Nudge Unit (A.M., M.S.P., S.-H.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine (M.S.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia.,The Wharton School (M.S.P.), University of Pennsylvania, Philadelphia.,Crescenz VA Medical Center, Philadelphia, PA (M.S.P.)
| | - Sae-Hwan Park
- Penn Medicine Nudge Unit (A.M., M.S.P., S.-H.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia
| | - Allison J Hare
- Penn Medicine Nudge Unit (A.M., M.S.P., S.-H.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine (M.S.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia
| | - Tory O Harrington
- Penn Medicine Nudge Unit (A.M., M.S.P., S.-H.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine (M.S.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia
| | - Srinath Adusumalli
- Penn Medicine Nudge Unit (A.M., M.S.P., S.-H.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia.,Perelman School of Medicine (M.S.P., A.J.H., T.O.H., S.A.), University of Pennsylvania, Philadelphia
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