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Kaufmann J, Marino M, Lucas JA, Rodriguez CJ, Boston D, Giebultowicz S, Heintzman J. Atherosclerotic Cardiovascular Disease Primary and Secondary Prevention in Latino Subgroups. J Gen Intern Med 2024:10.1007/s11606-024-08822-7. [PMID: 38858341 DOI: 10.1007/s11606-024-08822-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 05/14/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Studies assessing equity in the prevention of atherosclerotic cardiovascular disease (ASCVD) for Latinos living in the USA collectively yield mixed results. Latino persons are diverse in many ways that may influence cardiovascular health. The intersection of Latino nativity and ASCVD prevention is understudied. OBJECTIVE To determine whether disparities in ASCVD screening, detection, and prescribing differ for US Latinos by country of birth. DESIGN A retrospective cohort design utilizing 2014-2020 electronic health record data from a network of 320 community health centers across 12 states. Analyses occurred October 1, 2022, to September 30, 2023. PARTICIPANTS Non-Hispanic White and Latino adults age 20-75 years, born in Cuba, Dominican Republic, El Salvador, Guatemala, Honduras, Mexico, and the USA. EXPOSURES Ethnicity and country of birth. MAIN MEASURES Outcome measures included prevalence of statin eligibility, of having insufficient data to establish eligibility, odds of having a documented statin prescription, and rates of statin prescriptions and refills. We used covariate-adjusted logistic and generalized estimating equations logistic and negative binomial regressions to generate absolute and relative measures. KEY RESULTS Among 108,672 adults, 23% (n = 25,422) were statin eligible for primary or secondary prevention of ASCVD using American College of Cardiology/American Heart Association guidelines. Latinos, born in and outside the USA were more likely eligible than Non-Hispanic White patients were (US-born Latino OR = 1.55 (95% CI = 1.37-1.75); non-US-born Latino OR = 1.63 (95% CI = 1.34-1.98)). The eligibility criteria that was met differed by ethnicity and nativity. Latinos overall were less likely missing data to establish eligibility and differences were again observed by specific non-US country of origin. Among those eligible, we observed no statistical difference in statin prescribing between US-born Latinos and non-Hispanic White persons; however, disparities varied by specific non-US country of origin. CONCLUSION Efforts to improve Latino health in the USA will require approaches for preventing and reversing cardiovascular risk factors, and statin initiation that are Latino subgroup specific.
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Affiliation(s)
- Jorge Kaufmann
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA.
| | - Miguel Marino
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
- Biostatistics Group, School of Public Health, Oregon Health & Science University - Portland State University, Portland, OR, USA
| | - Jennifer A Lucas
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Carlos J Rodriguez
- Department of Medicine, Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | | | - John Heintzman
- Department of Family Medicine, Oregon Health & Science University, Portland, Oregon, USA
- OCHIN, Portland, OR, USA
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Claggett J, Petter S, Joshi A, Ponzio T, Kirkendall E. An Infrastructure Framework for Remote Patient Monitoring Interventions and Research. J Med Internet Res 2024; 26:e51234. [PMID: 38815263 PMCID: PMC11176884 DOI: 10.2196/51234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Revised: 10/12/2023] [Accepted: 04/09/2024] [Indexed: 06/01/2024] Open
Abstract
Remote patient monitoring (RPM) enables clinicians to maintain and adjust their patients' plan of care by using remotely gathered data, such as vital signs, to proactively make medical decisions about a patient's care. RPM interventions have been touted as a means to improve patient care and well-being while reducing costs and resource needs within the health care ecosystem. However, multiple interworking components must be successfully implemented for an RPM intervention to yield the desired outcomes, and the design and key driver of each component can vary depending on the medical context. This viewpoint and perspective paper presents a 4-component RPM infrastructure framework based on a synthesis of existing literature and practice related to RPM. Specifically, these components are identified and considered: (1) data collection, (2) data transmission and storage, (3) data analysis, and (4) information presentation. Interaction points to consider between components include transmission, interoperability, accessibility, workflow integration, and transparency. Within each of the 4 components, questions affecting research and practice emerge that can affect the outcomes of RPM interventions. This framework provides a holistic perspective of the technologies involved in RPM interventions and how these core elements interact to provide an appropriate infrastructure for deploying RPM in health systems. Further, it provides a common vocabulary to compare and contrast RPM solutions across health contexts and may stimulate new research and intervention opportunities.
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Affiliation(s)
- Jennifer Claggett
- School of Business, Wake Forest University, Winston-Salem, NC, United States
- Center for Healthcare Innovation, School of Medicine, Wake Forest University, Winston-Salem, NC, United States
| | - Stacie Petter
- School of Business, Wake Forest University, Winston-Salem, NC, United States
| | - Amol Joshi
- School of Business, Wake Forest University, Winston-Salem, NC, United States
- Center for Healthcare Innovation, School of Medicine, Wake Forest University, Winston-Salem, NC, United States
| | - Todd Ponzio
- Health Science Center, University of Tennessee, Memphis, TN, United States
| | - Eric Kirkendall
- Center for Healthcare Innovation, School of Medicine, Wake Forest University, Winston-Salem, NC, United States
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Lee JS, MacLeod KE, Kuklina EV, Tong X, Jackson SL. Social Determinants of Health-Related Z Codes and Health Care Among Patients With Hypertension. AJPM FOCUS 2023; 2:100089. [PMID: 37790640 PMCID: PMC10546517 DOI: 10.1016/j.focus.2023.100089] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Introduction Tracking social needs can provide information on barriers to controlling hypertension and the need for wraparound services. No recent studies have examined ICD-10-CM social determinants of health-related Z codes (Z55-Z65) to indicate social needs with a focus on patients with hypertension. Methods Three cohorts were identified with a diagnosis of hypertension during 2016-2017 and continuously enrolled in fee-for-service insurance through June 2021: (1) commercial, age 18-64 years (n=1,024,012); (2) private insurance to supplement Medicare (Medicare Supplement), age ≥65 years (n=296,340); and (3) Medicaid, age ≥18 years (n=146,484). Both the proportion of patients and healthcare encounters or visits with social determinants of health-related Z code were summarized annually. Patient and visit characteristics were summarized for 2019. Results In 2020, the highest annual documentation of social determinants of health-related Z codes was among Medicaid beneficiaries (3.02%, 0.46% commercial, 0.42% Medicare Supplement); documentation was higher among inpatient than among outpatient visits for all insurance types. Z63 (related to primary support group) was more common among commercial and Medicare Supplement beneficiaries, and Z59 (housing and economic circumstances) was more common among Medicaid beneficiaries. The 2019 total unadjusted medical expenditures were 1.85, 1.78, and 1.61 times higher for those with social determinants of health-related Z code than for those without commercial, Medicare Supplement, and Medicaid, respectively. Patients with social determinants of health-related Z code also had higher proportions of diagnosed chronic conditions. Among Medicaid beneficiaries, differences in the presence of social determinants of health-related Z code by race or ethnicity were observed. Conclusions Although currently underreported, social determinants of health-related Z codes provide an opportunity to integrate social and medical data and may help decision makers understand the need for additional services among individuals with hypertension.
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Affiliation(s)
- Jun Soo Lee
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kara E. MacLeod
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
- ASRT, Inc., Atlanta, Georgia
| | - Elena V. Kuklina
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Xin Tong
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sandra L. Jackson
- Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia
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Kaufmann J, Marino M, Lucas JA, Rodriguez CJ, Bailey SR, April-Sanders AK, Boston D, Heintzman J. Racial, ethnic, and language differences in screening measures for statin therapy following a major guideline change. Prev Med 2022; 164:107338. [PMID: 36368341 PMCID: PMC9703970 DOI: 10.1016/j.ypmed.2022.107338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 10/07/2022] [Accepted: 11/05/2022] [Indexed: 11/10/2022]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) disproportionally affects racial and ethnic minority populations. Statin prescribing guidelines changed in 2013 to improve ASCVD prevention. It is unknown whether risk screening for statin eligibility differed across race and ethnicity over this guideline change. We examine racial/ethnic/language differences in screening measure prevalence for period-specific statin consideration using a retrospective cohort design and linked electronic health records from 635 community health centers in 24 U.S. states. Adults 50+ years, without known ASCVD, and ≥ 1 visit in 2009-2013 and/or 2014-2018 were included, grouped as: Asian, Latino, Black, or White further distinguished by language preference. Outcomes included screening measure prevalence for statin consideration, 2009-2013: low-density lipoprotein (LDL), 2014-2018: pooled cohort equation (PCE) components age, sex, race, systolic blood pressure, total cholesterol, high-density lipoprotein, smoking status. Among patients seen both periods, change in period-specific measure prevalence was assessed. Adjusting for sociodemographic and clinical factors, compared to English-preferring White patients, all other groups were more likely to have LDL documented (2009-2013, n = 195,061) and all PCE components documented (2014-2018, n = 344,504). Among patients seen in both periods (n = 128,621), all groups had lower odds of PCE components versus LDL documented in the measures' respective period; English-preferring Black adults experienced a greater decline compared to English-preferring White adults (OR 0.81; 95% CI: 0.72-0.91). Racial/ethnic/language disparities in documented screening measures that guide statin therapy for ASCVD prevention were unaffected by a major guideline change advising this practice. It is important to understand whether the newer guidelines have altered disparate prescribing and morbidity/mortality for this disease.
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Affiliation(s)
- Jorge Kaufmann
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA.
| | - Miguel Marino
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA; Biostatistics Group, School of Public Health, Oregon Health & Science University - Portland State University, Portland, OR, USA
| | - Jennifer A Lucas
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Carlos J Rodriguez
- Department of Medicine, Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Steffani R Bailey
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA
| | - Ayana K April-Sanders
- Department of Biostatistics & Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | | | - John Heintzman
- Department of Family Medicine, Oregon Health & Science University, Portland, OR, USA; OCHIN, Portland, OR, USA
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Effect of Yiqi Huayu Pinggan Zishen Formula Combined with Valsartan in the Treatment of Hypertension and Its Effect on MMP-9, Ang II, and MCP-1. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:7982023. [PMID: 35572824 PMCID: PMC9106505 DOI: 10.1155/2022/7982023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 02/28/2022] [Accepted: 04/06/2022] [Indexed: 11/18/2022]
Abstract
Objective To explore the effect of Yiqi Huayu Pinggan Zishen recipe combined with valsartan in the treatment of hypertension and its effect on MMP-9, Ang II, and MCP-1. Methods About 100 patients with hypertension treated in our hospital from March 2020 to April 2021 were enrolled. All patients were arbitrarily assigned to the control group and the study group. The former group was cured with valsartan, and the latter group was cured with Yiqi Huayu Pinggan Zishen recipe combined with valsartan. The curative effect, blood pressure level, renal function index, serum matrix metalloproteinase-9 (MMP-9), monocyte chemoattractant protein-1 (MCP-1), angiotensin II (Ang II) level, traditional Chinese medicine (TCM) syndrome score, and the incidence of adverse reactions were compared. Results First of all, we compared the curative effects; the study group exhibited remarkably effective in 44 cases and effective in 6 cases, and the effective rate was 100.00%, while in the control group, 24 cases were markedly effective, 16 cases were effective, and 5 cases were ineffective; the effective rate was 90.00%. The curative effect in the study group was higher (P < 0.05). Secondly, we compared the blood pressure level. Before treatment, there was no remarkable difference (P > 0.05). After treatment, the blood pressure of the two groups decreased. The systolic blood pressure and diastolic blood pressure of the study group were lower (P < 0.05). In terms of renal function indexes, the levels of blood urine nitrogen (BUN), Cr, and β 2-MG in the study group were lower, while the level of eGFR in the study group was higher (P < 0.05). The serum levels of MMP-9, MCP-1, and Ang II decreased. Of note, the levels of serum MMP-9, MCP-1, and Ang II in the study group were lower (P < 0.05). After treatment, the TCM syndrome scores decreased, and the study group was lower (P < 0.05). Finally, we compared the incidence of adverse reactions. The incidence of adverse reactions in the study group was lower (P < 0.05). Conclusion Yiqi Huayu Pinggan Zishen recipe combined with valsartan in the treatment of hypertension can remarkably reduce the clinical symptoms, enhance the renal function, strengthen the therapeutic effect, promote the ability of independent movement, and reduce the levels of serum MMP-9, MCP-1, and Ang II with high safety, which has the value of clinical application.
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Austin J, Delgado P, Gatewood A, Enmeier M, Frantz B, Greiner B, Hartwell M. Cervical cancer screening among women with comorbidities: a cross-sectional examination of disparities from the behavioral risk factor surveillance system. J Osteopath Med 2022; 122:359-365. [PMID: 35285219 DOI: 10.1515/jom-2021-0044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Accepted: 01/31/2022] [Indexed: 11/15/2022]
Abstract
CONTEXT Implementation of guideline-based Papanicolaou (Pap) smear screening, human papillomavirus (HPV) testing, and HPV vaccination has reduced cervical cancer (CC) rates up to 80%, yet prevention disparities continue to exist. OBJECTIVES This study aims to analyze whether CC screening rates differ among women with comorbidities-body mass index (BMI) ≥30 kg/m2, diabetes mellitus, hypertension, cardiovascular disease, chronic obstructive pulmonary disease (COPD), arthritis, kidney disease, depression, or skin cancer-compared to women without these comorbidities. METHODS Combined 2018 and 2019 Behavioral Risk Factor Surveillance System (BRFSS) datasets were evaluated utilizing multivariate logistic regression models to determine the adjusted odds ratios (AORs) of persons having completed CC screening without comorbidities compared to those with individual diagnoses, as well as in those with multiple comorbidities (1, 2-4, 5+). Confidence intervals (CIs) were reported at 95%. RESULTS Among the 127,057 individuals meeting inclusion criteria, 78.3% (n = 83,242; n = 27,875,328) met CC screening guidelines. Multivariable regression showed that women who had a BMI ≥30 kg/m2 were significantly less likely to have completed a CC screening (AOR: 0.90; CI: 0.83-0.97) as were those with COPD (AOR: 0.77; CI: 0.67-0.87) and kidney disease (AOR: 0.81; CI: 0.67-0.99). Conversely, women with skin cancer were significantly more likely to report CC screening (AOR: 1.22; CI: 1.05-1.43). We found no significant differences in CC screening completion rates by diagnosis of diabetes, hypertension, cardiovascular disease, arthritis, or depression nor between women lacking comorbidities compared to women with multiple comorbidities. CONCLUSIONS Women with BMI ≥30 kg/m2, COPD, and kidney disease were less likely to complete CC screening, whereas women with skin cancer were more likely to complete CC screening. Additionally, diabetes mellitus, hypertension, cardiovascular disease, arthritis, and depression diagnoses did not significantly impact rates of CC screening. Physicians should be aware of the deviations in CC screening completion among patients with diagnoses to know when there may be an increased need for Pap tests and pelvic examinations. CC screening is critical to reduce mortality through early detection and prevention measures.
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Affiliation(s)
- Jordyn Austin
- Center for Health Sciences, Office of Medical Student Research, Oklahoma State University, Tulsa, OK, USA.,College of Osteopathic Medicine at the Cherokee Nation, Office of Medical Student Research, Oklahoma State University, Tahlequah, OK, USA
| | - Paul Delgado
- Center for Health Sciences, Office of Medical Student Research, Oklahoma State University, Tulsa, OK, USA
| | - Ashton Gatewood
- Center for Health Sciences, Office of Medical Student Research, Oklahoma State University, Tulsa, OK, USA.,College of Osteopathic Medicine at the Cherokee Nation, Office of Medical Student Research, Oklahoma State University, Tahlequah, OK, USA
| | - Mackenzie Enmeier
- Center for Health Sciences, Office of Medical Student Research, Oklahoma State University, Tulsa, OK, USA.,College of Osteopathic Medicine at the Cherokee Nation, Office of Medical Student Research, Oklahoma State University, Tahlequah, OK, USA
| | - Brooke Frantz
- OU College of Medicine, Department of Women's Health at Oklahoma City Indian Clinic, Oklahoma City, OK, USA
| | - Benjamin Greiner
- Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX, USA
| | - Micah Hartwell
- Center for Health Sciences, Office of Medical Student Research, Oklahoma State University, Tulsa, OK, USA.,Center for Health Sciences, Department of Psychiatry and Behavioral Sciences, Oklahoma State University, Tulsa, OK, USA
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