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Powell AC, Pickerell JT, Long JW, Loy BA, Mirhadi AJ. An assessment of the association between patient characteristics and timely lung cancer treatment. Cancer Causes Control 2024; 35:1181-1190. [PMID: 38634976 DOI: 10.1007/s10552-024-01869-1] [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: 04/28/2023] [Accepted: 03/09/2024] [Indexed: 04/19/2024]
Abstract
PURPOSE Prior data have demonstrated relationships between patient characteristics, the use of surgery to treat lung cancer, and the timeliness of treatment. Our study examines whether these relationships were observable in 2019 in patients with Medicare Advantage health plans being treated for lung cancer. METHODS Claims data pertaining to patients with Medicare Advantage health plans who had received radiation therapy (RT) or surgery to treat lung cancer within 90 days of diagnostic imaging were extracted. Other databases were used to determine patients' demographics, comorbidities, the urbanicity of their ZIP code, the median income of their ZIP code, and whether their treatment was ordered by a physician at a hospital. Multivariable logistic and Cox Proportional Hazards models were used to assess the association between patient characteristics, receipt of surgery, and time to non-systemic treatment (surgery or RT), respectively. RESULTS A total of 2,682 patients were included in the analysis. In an adjusted analysis, patients were significantly less likely to receive surgery if their first ordering physician was based in a hospital, if they were older, if they had a history of congestive heart failure (CHF), if they had a history of chronic obstructive pulmonary disease, or if they had stage III lung cancer. Likewise, having stage III cancer was associated with significantly shorter time to treatment. CONCLUSIONS Within a Medicare Advantage population, patient demographics were found to be significantly associated with the decision to pursue surgery, but factors other than stage were not significantly associated with time to non-systemic treatment.
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Affiliation(s)
- Adam C Powell
- HealthHelp, 16945 Northchase Drive, Suite 1300, Houston, TX, 77060, USA.
- Payer+Provider Syndicate, 20 Oakland Ave., Newton, MA, 02466, USA.
| | | | - James W Long
- Humana Inc., 500 W. Main St., Louisville, KY, 40202, USA
| | - Bryan A Loy
- Humana Inc., 500 W. Main St., Louisville, KY, 40202, USA
| | - Amin J Mirhadi
- HealthHelp, 16945 Northchase Drive, Suite 1300, Houston, TX, 77060, USA
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Brock BA, Mir H, Flenaugh EL, Oprea-Ilies G, Singh R, Singh S. Social and Biological Determinants in Lung Cancer Disparity. Cancers (Basel) 2024; 16:612. [PMID: 38339362 PMCID: PMC10854636 DOI: 10.3390/cancers16030612] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2024] [Revised: 01/22/2024] [Accepted: 01/29/2024] [Indexed: 02/12/2024] Open
Abstract
Lung cancer remains a leading cause of death in the United States and globally, despite progress in treatment and screening efforts. While mortality rates have decreased in recent years, long-term survival of patients with lung cancer continues to be a challenge. Notably, African American (AA) men experience significant disparities in lung cancer compared to European Americans (EA) in terms of incidence, treatment, and survival. Previous studies have explored factors such as smoking patterns and complex social determinants, including socioeconomic status, personal beliefs, and systemic racism, indicating their role in these disparities. In addition to social factors, emerging evidence points to variations in tumor biology, immunity, and comorbid conditions contributing to racial disparities in this disease. This review emphasizes differences in smoking patterns, screening, and early detection and the intricate interplay of social, biological, and environmental conditions that make African Americans more susceptible to developing lung cancer and experiencing poorer outcomes.
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Affiliation(s)
- Briana A. Brock
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (B.A.B.); (H.M.); (R.S.)
| | - Hina Mir
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (B.A.B.); (H.M.); (R.S.)
| | - Eric L. Flenaugh
- Division of Pulmonary Medicine, Morehouse School of Medicine, Atlanta, GA 30310, USA;
| | - Gabriela Oprea-Ilies
- Department of Pathology & Laboratory Medicine, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA 30322, USA;
| | - Rajesh Singh
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (B.A.B.); (H.M.); (R.S.)
| | - Shailesh Singh
- Department of Microbiology, Biochemistry and Immunology, Morehouse School of Medicine, Atlanta, GA 30310, USA; (B.A.B.); (H.M.); (R.S.)
- Cell and Molecular Biology Program, Winship Cancer Institute, Emory University School of Medicine, Atlanta, GA 30322, USA
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Gandhi SA, Heinzerling A, Flattery J, Cummings KJ. Occupational Contributions to Respiratory Health Disparities. Clin Chest Med 2023; 44:635-649. [PMID: 37517841 PMCID: PMC10861114 DOI: 10.1016/j.ccm.2023.03.016] [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] [Indexed: 08/01/2023]
Abstract
Occupation is an important contributor to disparities in respiratory disease, affecting financial status, health-care access, and exposure to hazardous substances. Although occupation and associated exposures are included in the socioecological models, work exposures remain persistently absent from research on health inequities and their contribution to health. This article focuses on the occupational contribution to disparities in asthma, chronic obstructive pulmonary disease, silicosis, coronavirus disease 2019, and lung cancer. Because occupational exposures are largely preventable through proper workplace controls, the recognition of occupational causes of disease can provide an opportunity for interventions to bring about health equity.
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Affiliation(s)
- Sheiphali A Gandhi
- Division of Occupational and Environmental Medicine, Department of Medicine, University of California San Francisco, 2330 Post St Ste 460, San Francisco, CA 94115, USA
| | - Amy Heinzerling
- Occupational Health Branch, California Department of Public Health, 850 Marina Bay Parkway P-3, Richmond, CA 94804, USA
| | - Jennifer Flattery
- Occupational Health Branch, California Department of Public Health, 850 Marina Bay Parkway P-3, Richmond, CA 94804, USA
| | - Kristin J Cummings
- Occupational Health Branch, California Department of Public Health, 850 Marina Bay Parkway P-3, Richmond, CA 94804, USA.
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Vonasek BJ, Gusland D, Hash KP, Wiese AL, Tans-Kersten J, Astor BC, Gibbons-Burgener SN, Misch EA. Nontuberculous Mycobacterial Infection in Wisconsin Adults and Its Relationship to Race and Social Disadvantage. Ann Am Thorac Soc 2023; 20:1107-1115. [PMID: 36812384 PMCID: PMC10405610 DOI: 10.1513/annalsats.202205-425oc] [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: 05/17/2022] [Accepted: 02/22/2023] [Indexed: 02/24/2023] Open
Abstract
Rationale: Population-based data on the epidemiology of nontuberculosis mycobacterial (NTM) infections are limited, particularly with respect to variation in NTM infection among racial groups and socioeconomic strata. Wisconsin is one of a handful of states where mycobacterial disease is notifiable, allowing large, population-based analyses of the epidemiology of NTM infection in this state. Objectives: To estimate the incidence of NTM infection in Wisconsin adults, describe the geographic distribution of NTM infection across the state, identify the frequency and type of infection caused by different NTM species, and investigate associations between NTM infection and demographics and socioeconomic status. Methods: We conducted a retrospective cohort study using laboratory reports of all NTM isolates from Wisconsin residents submitted to the Wisconsin Electronic Disease Surveillance System from 2011 to 2018. For the analyses of NTM frequency, multiple reports from the same individual were enumerated as separate isolates when nonidentical, collected from different sites or collected more than one year apart. Results: A total of 8,135 NTM isolates from 6,811 adults were analyzed. Mycobacterium avium complex accounted for 76.4% of respiratory isolates. The M. chelonae-abscessus group was the most common species isolated from skin and soft tissue. The annual incidence of NTM infection was stable over the study period (from 22.1 per 100,000 to 22.4 per 100,000). The cumulative incidence of NTM infection among Black (224 per 100,000) and Asian (244 per 100,000) individuals was significantly higher compared with that among their White counterparts (97 per 100,000). Total NTM infections were significantly more frequent (P < 0.001) in individuals from disadvantaged neighborhoods, and racial disparities in the incidence of NTM infection generally remained consistent when stratified by measures of neighborhood disadvantage. Conclusions: More than 90% of NTM infections were from respiratory sites, with the vast majority caused by M. avium complex. Rapidly growing mycobacteria predominated as skin and soft tissue pathogens and were important minor respiratory pathogens. We found a stable annual incidence of NTM infection in Wisconsin between 2011 and 2018. NTM infection occurred more frequently in non-White racial groups and in individuals experiencing social disadvantage, suggesting that NTM disease may be more frequent in these groups as well.
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Affiliation(s)
| | - Danièle Gusland
- Department of Pediatrics, University of California, San Francisco, San Francisco, California; and
| | - Kevin P. Hash
- School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin
| | - Andrew L. Wiese
- Division of Public Health, Wisconsin Department of Health Services, Madison, Wisconsin
| | - Julie Tans-Kersten
- Division of Public Health, Wisconsin Department of Health Services, Madison, Wisconsin
| | - Brad C. Astor
- Department of Medicine, and
- Department of Population Health Sciences
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McKleroy W, Shing T, Anderson WH, Arjomandi M, Awan HA, Barjaktarevic I, Barr RG, Bleecker ER, Boscardin J, Bowler RP, Buhr RG, Criner GJ, Comellas AP, Curtis JL, Dransfield M, Doerschuk CM, Dolezal BA, Drummond MB, Han MK, Hansel NN, Helton K, Hoffman EA, Kaner RJ, Kanner RE, Krishnan JA, Lazarus SC, Martinez FJ, Ohar J, Ortega VE, Paine R, Peters SP, Reinhardt JM, Rennard S, Smith BM, Tashkin DP, Couper D, Cooper CB, Woodruff PG. Longitudinal Follow-Up of Participants With Tobacco Exposure and Preserved Spirometry. JAMA 2023; 330:442-453. [PMID: 37526720 PMCID: PMC10394572 DOI: 10.1001/jama.2023.11676] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 06/20/2023] [Indexed: 08/02/2023]
Abstract
Importance People who smoked cigarettes may experience respiratory symptoms without spirometric airflow obstruction. These individuals are typically excluded from chronic obstructive pulmonary disease (COPD) trials and lack evidence-based therapies. Objective To define the natural history of persons with tobacco exposure and preserved spirometry (TEPS) and symptoms (symptomatic TEPS). Design, Setting, and Participants SPIROMICS II was an extension of SPIROMICS I, a multicenter study of persons aged 40 to 80 years who smoked cigarettes (>20 pack-years) with or without COPD and controls without tobacco exposure or airflow obstruction. Participants were enrolled in SPIROMICS I and II from November 10, 2010, through July 31, 2015, and followed up through July 31, 2021. Exposures Participants in SPIROMICS I underwent spirometry, 6-minute walk distance testing, assessment of respiratory symptoms, and computed tomography of the chest at yearly visits for 3 to 4 years. Participants in SPIROMICS II had 1 additional in-person visit 5 to 7 years after enrollment in SPIROMICS I. Respiratory symptoms were assessed with the COPD Assessment Test (range, 0 to 40; higher scores indicate more severe symptoms). Participants with symptomatic TEPS had normal spirometry (postbronchodilator ratio of forced expiratory volume in the first second [FEV1] to forced vital capacity >0.70) and COPD Assessment Test scores of 10 or greater. Participants with asymptomatic TEPS had normal spirometry and COPD Assessment Test scores of less than 10. Patient-reported respiratory symptoms and exacerbations were assessed every 4 months via phone calls. Main Outcomes and Measures The primary outcome was assessment for accelerated decline in lung function (FEV1) in participants with symptomatic TEPS vs asymptomatic TEPS. Secondary outcomes included development of COPD defined by spirometry, respiratory symptoms, rates of respiratory exacerbations, and progression of computed tomographic-defined airway wall thickening or emphysema. Results Of 1397 study participants, 226 had symptomatic TEPS (mean age, 60.1 [SD, 9.8] years; 134 were women [59%]) and 269 had asymptomatic TEPS (mean age, 63.1 [SD, 9.1] years; 134 were women [50%]). At a median follow-up of 5.76 years, the decline in FEV1 was -31.3 mL/y for participants with symptomatic TEPS vs -38.8 mL/y for those with asymptomatic TEPS (between-group difference, -7.5 mL/y [95% CI, -16.6 to 1.6 mL/y]). The cumulative incidence of COPD was 33.0% among participants with symptomatic TEPS vs 31.6% among those with asymptomatic TEPS (hazard ratio, 1.05 [95% CI, 0.76 to 1.46]). Participants with symptomatic TEPS had significantly more respiratory exacerbations than those with asymptomatic TEPS (0.23 vs 0.08 exacerbations per person-year, respectively; rate ratio, 2.38 [95% CI, 1.71 to 3.31], P < .001). Conclusions and Relevance Participants with symptomatic TEPS did not have accelerated rates of decline in FEV1 or increased incidence of COPD vs those with asymptomatic TEPS, but participants with symptomatic TEPS did experience significantly more respiratory exacerbations over a median follow-up of 5.8 years.
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Affiliation(s)
- William McKleroy
- Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, School of Medicine, University of California, San Francisco
- Now with Department of Pulmonary and Critical Care Medicine, Kaiser Permanente San Francisco Medical Center, San Francisco, California
| | - Tracie Shing
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Wayne H Anderson
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill
| | - Mehrdad Arjomandi
- Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, School of Medicine, University of California, San Francisco
- Division of Pulmonary and Critical Care Medicine, Medical Service, San Francisco VA Medical Center, San Francisco, California
| | - Hira Anees Awan
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City
| | - Igor Barjaktarevic
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
| | - R Graham Barr
- Divisions of General Medicine and Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Medical Center, New York, New York
- Department of Epidemiology, Columbia University Medical Center, New York, New York
| | - Eugene R Bleecker
- Division of Genetics, Genomics, and Precision Medicine, Department of Medicine, College of Medicine, University of Arizona, Tucson
- Division of Pharmacogenomics, Center for Applied Genetics and Genomic Medicine, University of Arizona, Tucson
| | - John Boscardin
- Department of Medicine and Department of Epidemiology and Biostatistics, School of Medicine, University of California, San Francisco
| | - Russell P Bowler
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, National Jewish Health, Denver, Colorado
| | - Russell G Buhr
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
| | - Gerard J Criner
- Division of Thoracic Medicine and Surgery, Department of Medicine, Lewis Katz School of Medicine, Temple University, Philadelphia, Pennsylvania
| | - Alejandro P Comellas
- Division of Pulmonary, Critical Care, and Occupational Medicine, Department of Medicine, Carver College of Medicine, University of Iowa, Iowa City
| | - Jeffrey L Curtis
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, University of Michigan, Ann Arbor
- Medical Service, VA Ann Arbor Healthcare System, Ann Arbor, Michigan
| | - Mark Dransfield
- Division of Pulmonary, Allergy, and Critical Care, Department of Medicine, University of Alabama, Birmingham
| | - Claire M Doerschuk
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill
| | - Brett A Dolezal
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
| | - M Bradley Drummond
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill
| | - MeiLan K Han
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, University of Michigan, Ann Arbor
| | - Nadia N Hansel
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Kinsey Helton
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Eric A Hoffman
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City
- Division of Pulmonary, Critical Care, and Occupational Medicine, Department of Medicine, Carver College of Medicine, University of Iowa, Iowa City
- Department of Radiology, Carver College of Medicine, University of Iowa, Iowa City
| | - Robert J Kaner
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Richard E Kanner
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, School of Medicine, University of Utah, Salt Lake City
| | - Jerry A Krishnan
- Breathe Chicago Center, Division of Pulmonary, Critical Care, Sleep, and Allergy, University of Illinois, Chicago
| | - Stephen C Lazarus
- Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, School of Medicine, University of California, San Francisco
- Cardiovascular Research Institute, University of California, San Francisco
| | - Fernando J Martinez
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Weill Cornell Medical College, New York, New York
| | - Jill Ohar
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Victor E Ortega
- Division of Pulmonary Medicine, Department of Medicine, Mayo Clinic, Phoenix, Arizona
| | - Robert Paine
- Division of Respiratory, Critical Care, and Occupational Pulmonary Medicine, Department of Medicine, School of Medicine, University of Utah, Salt Lake City
| | - Stephen P Peters
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Joseph M Reinhardt
- Roy J. Carver Department of Biomedical Engineering, University of Iowa, Iowa City
| | - Stephen Rennard
- Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine, College of Medicine, University of Nebraska, Omaha
| | - Benjamin M Smith
- Divisions of General Medicine and Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, Columbia University Medical Center, New York, New York
- Division of Experimental Medicine, McGill University, Montreal, Quebec, Canada
| | - Donald P Tashkin
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
| | - David Couper
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Christopher B Cooper
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles
- Department of Physiology, David Geffen School of Medicine, University of California, Los Angeles
| | - Prescott G Woodruff
- Division of Pulmonary, Critical Care, Sleep, and Allergy, Department of Medicine, School of Medicine, University of California, San Francisco
- Cardiovascular Research Institute, University of California, San Francisco
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Robichaux C, Aron J, Wendt CH, Berman JD, Rau A, Bangerter A, Dudley RA, Baldomero AK. Sociodemographic and Geographic Risk Factors for All-Cause Mortality in Patients with COPD. Int J Chron Obstruct Pulmon Dis 2023; 18:1587-1593. [PMID: 37521023 PMCID: PMC10386845 DOI: 10.2147/copd.s406899] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/14/2023] [Indexed: 08/01/2023] Open
Abstract
Background Chronic obstructive pulmonary disease (COPD) is a leading cause of mortality worldwide. Identifying both individual and community risk factors associated with higher mortality is essential to improve outcomes. Few population-based studies of mortality in COPD include both individual characteristics and community risk factors. Objective We used geocoded, patient-level data to describe the associations between individual demographics, neighborhood socioeconomic status, and all-cause mortality. Methods We performed a nationally representative retrospective cohort analysis of all patients enrolled in the Veteran Health Administration with at least one ICD-9 or ICD-10 code for COPD in 2016-2019. We obtained demographic characteristics, comorbidities, and geocoded residential address. Area Deprivation Index and rurality were classified using individual geocoded residential addresses. We used logistic regression models to assess the association between these characteristics and age-adjusted all-cause mortality. Results Of 1,106,163 COPD patients, 33.4% were deceased as of January 2021. In age-adjusted models, having more comorbidities, Black/African American race (OR 1.09 [95% CI: 1.08-1.11]), and higher neighborhood disadvantage (OR 1.30 [95% CI: 1.28-1.32]) were associated with all-cause mortality. Female sex (OR 0.67 [95% CI: 0.65-0.69]), Asian race (OR 0.64, [95% CI: 0.59-0.70]), and living in a more rural area were associated with lower odds of all-cause mortality. After adjusting for age, comorbidities, neighborhood socioeconomic status, and rurality, the association with Black/African American race reversed. Conclusion All-cause mortality in COPD patients is disproportionately higher in patients living in poorer neighborhoods and urban areas, suggesting the impact of social determinants of health on COPD outcomes. Black race was associated with higher age-adjusted all-cause mortality, but this association was abrogated after adjusting for gender, socioeconomic status, comorbidities, and urbanicity. Future studies should focus on exploring mechanisms by which disparities arise and developing interventions to address these.
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Affiliation(s)
- Camille Robichaux
- Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, MN, USA
| | - Jordan Aron
- Division of Biostatistics, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Chris H Wendt
- Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, MN, USA
- Pulmonary, Allergy, Critical Care, and Sleep Medicine, Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Jesse D Berman
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Austin Rau
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Ann Bangerter
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - R Adams Dudley
- Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, MN, USA
- Pulmonary, Allergy, Critical Care, and Sleep Medicine, Minneapolis VA Health Care System, Minneapolis, MN, USA
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA
| | - Arianne K Baldomero
- Pulmonary, Allergy, Critical Care, and Sleep Medicine, University of Minnesota, Minneapolis, MN, USA
- Pulmonary, Allergy, Critical Care, and Sleep Medicine, Minneapolis VA Health Care System, Minneapolis, MN, USA
- Center for Care Delivery and Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN, USA
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A Cross-Sectional Descriptive Analysis of Diversity, Equity, and Inclusion Presence Among United States Occupational and Environmental Medicine Residency Program Websites. J Occup Environ Med 2023; 65:224-227. [PMID: 36165497 DOI: 10.1097/jom.0000000000002714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
OBJECTIVE To evaluate the presence of diversity, equity, and inclusion (DEI) among US occupational and environmental medicine (OEM) residency program websites. METHODS In January to February 2022, two independent reviewers evaluated the websites of all 24 US accredited OEM residency programs and documented the presence of 10 predetermined DEI metrics and resident/faculty photographs and biographies. RESULTS Program websites included a median of 1 (0-3) DEI element with 46% of websites containing none of the DEI metrics. Faculty photographs and biographies were included in 83% and 75% of websites, respectively. Resident photographs and biographies were included in 50% and 25% of websites, respectively. CONCLUSIONS Many OEM residency program websites lack DEI presence. Programs should consider presenting information relevant to DEI on their websites to help attract more diverse applicant pools.
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Medical Care Needs of Laundromat Users in San Antonio, Texas: A Potentially Unique Setting for Health Interventions. J Community Health 2023; 48:1-9. [PMID: 36006533 PMCID: PMC9406254 DOI: 10.1007/s10900-022-01137-w] [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] [Accepted: 08/09/2022] [Indexed: 11/30/2022]
Abstract
Innovative community-based public-private partnerships are forming to address health needs of underserved communities. This study partnered with laundromats in San Antonio, Texas to understand the health and healthcare needs of laundromat users as a possible underserved population. A total of 193 laundromat users across eight laundromats participated in a survey based on the Texas Behavioral Risk Factor Surveillance System (BRFSS) that asked about health status, access to care, vaccinations, and use of preventive healthcare services. Responses were compared to population estimates from Bexar County and the state of Texas. Results showed that over half of the sample of laundromat users were female, racial/ethnic minorities, living at poverty level, and did not have health insurance coverage. Compared to county and state population estimates, laundromat users were significantly more likely to report poor health and physical impairment; and were less likely to have a primary care provider, to have received a routine medical checkup in the past year, and to have been tested for HIV. Laundromat users were also less likely to receive some gender-specific preventive healthcare screenings such as pap smears and mammograms for women, and prostate exams for men than county or state population estimates. In the laundromat sample, 78% expressed interest in receiving healthcare services on-site at laundromats. Together, these findings suggest laundromats may be a unique setting for healthcare intervention to reach undeserved, racial/ethnic minority communities. Pilot programs that target this setting are needed to explore this opportunity to deliver community-based public health practice.
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Older Adults' Socio-Demographic Determinants of Health Related to Promoting Health and Getting Preventive Health Care in Southern United States: A Secondary Analysis of a Survey Project Dataset. NURSING REPORTS 2021; 11:120-132. [PMID: 33791080 PMCID: PMC8009605 DOI: 10.3390/nursrep11010012] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
Background: This exploratory survey study examined the relationship between older adults’ five socio-demographic determinants (urban/rural residence, gender, age, marital status, and education) and their self-reported perception of importance, desire to perform, and ability to perform nine self-care behaviors related to promoting health and getting preventive health care. Methods: We reported a secondary analysis of a dataset from an exploratory survey project; we analyzed 2015–2016 retrospective data collected from a cross-sectional survey study, including 123 adults aged 65 years and older living in southern United States. Data were collected from the Patient Action Inventory for Self-Care and a demographic questionnaire and analyzed using binary and multiple logistic regression analyses. Results: Advancing age, marital separation, and holding less than a high school education were significantly associated with at least one of the unfavorable perceptions of the importance, the desire to perform, and the ability to perform three self-care behaviors. These three behaviors were: (1) creating habits that will improve health and prevent disease, (2) discussing the use of health screening tests with healthcare providers, and (3) joining in local health screening or wellness events. Gender and urban/rural residence were not significant. Conclusions: Comprehensive health care should include an individual’s socio-demographic context and self-care perception of importance, desire, and ability.
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10
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James E, Linde B, Redlich CA. Master Clinician and Public Health Practitioner: Selected Occupational and Environmental Pulmonary Cases. Clin Chest Med 2021; 41:567-580. [PMID: 33153680 DOI: 10.1016/j.ccm.2020.08.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Occupational and environmental exposures contribute to the development and progression of most lung diseases, yet their impact is greatly under-recognized in clinical practice. Clinicians caring for patients with respiratory diseases should maintain a high index of suspicion for occupational and environmental contributing factors. Mastering occupational and environmental medicine clinical decision making requires specialized clinical skills. These skills include obtaining an appropriate work and exposure history; making an assessment of the magnitude and relevance of exposures and their contribution to a patient's respiratory disease; utilizing appropriate resources for evaluation and management of exposure-related disease; and considering socioeconomic and public health factors.
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Affiliation(s)
- Efia James
- Department of Medicine, Yale Occupational and Environmental Medicine Program, Yale School of Medicine, 367 Cedar Street, ESHA 2nd Floor, New Haven, CT 06510, USA.
| | - Brian Linde
- Department of Medicine, Yale Occupational and Environmental Medicine Program, Yale School of Medicine, 367 Cedar Street, ESHA 2nd Floor, New Haven, CT 06510, USA
| | - Carrie A Redlich
- Department of Medicine, Yale Occupational and Environmental Medicine Program, Yale School of Medicine, 367 Cedar Street, ESHA 2nd Floor, New Haven, CT 06510, USA
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