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LeCroy MN, Potter LN, Bandeen-Roche K, Bianco ME, Cappola AR, Carter EB, Dayan PS, Eckstrom E, Edwards DF, Farabi SS, Fisher SD, Giordano J, Hanson HA, Jenkins E, Juhn Y, Kaskel F, Stake CE, Reeds DN, Schleiss MR, Wafford QE, McColley SA. Barriers to and solutions for representative inclusion across the lifespan and in life course research: The need for structural competency highlighted by the COVID-19 pandemic. J Clin Transl Sci 2022; 7:e38. [PMID: 36845306 PMCID: PMC9947617 DOI: 10.1017/cts.2022.510] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 11/18/2022] [Indexed: 12/12/2022] Open
Abstract
Exclusion of special populations (older adults; pregnant women, children, and adolescents; individuals of lower socioeconomic status and/or who live in rural communities; people from racial and ethnic minority groups; individuals from sexual or gender minority groups; and individuals with disabilities) in research is a pervasive problem, despite efforts and policy changes by the National Institutes of Health and other organizations. These populations are adversely impacted by social determinants of health (SDOH) that reduce access and ability to participate in biomedical research. In March 2020, the Northwestern University Clinical and Translational Sciences Institute hosted the "Lifespan and Life Course Research: integrating strategies" "Un-Meeting" to discuss barriers and solutions to underrepresentation of special populations in biomedical research. The COVID-19 pandemic highlighted how exclusion of representative populations in research can increase health inequities. We applied findings of this meeting to perform a literature review of barriers and solutions to recruitment and retention of representative populations in research and to discuss how findings are important to research conducted during the ongoing COVID-19 pandemic. We highlight the role of SDOH, review barriers and solutions to underrepresentation, and discuss the importance of a structural competency framework to improve research participation and retention among special populations.
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Affiliation(s)
- Madison N. LeCroy
- Department of Pediatrics, Division of Academic General Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Lindsey N. Potter
- Center for Health Outcomes and Population Equity (HOPE), Department of Population Health Sciences, Huntsman Cancer Institute and the University of Utah, Salt Lake City, UT, USA
| | - Karen Bandeen-Roche
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins Institute for Clinical and Translational Research, Baltimore, MD, USA
| | - Monica E. Bianco
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Anne R. Cappola
- Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Ebony B. Carter
- Department of Obstetrics and Gynecology, Division of Maternal Fetal Medicine, Washington University, School of Medicine, St. Louis, MO, USA
| | - Peter S. Dayan
- Department of Emergency Medicine, Columbia University, Vagelos College of Physicians and Surgeons, New York, NY, USA
| | - Elizabeth Eckstrom
- Department of Medicine, Division of General Internal Medicine & Geriatrics, Oregon Clinical & Translational Research Institute, Oregon Health & Science University, Portland, OR, USA
| | - Dorothy F. Edwards
- Collaborative Center for Health Equity, Institute for Clinical and Translational Research and Department of Medicine, School of Medicine and Public Health, University of Wisconsin Madison, Health Sciences Learning Center, Madison, WI, USA
| | - Sarah S. Farabi
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO, USA
- Goldfarb School of Nursing at Barnes-Jewish College, St. Louis, MO, USA
| | - Sheehan D. Fisher
- Department of Psychiatry and Behavioral Sciences, Northwestern University Feinberg School of Medicine/Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Judy Giordano
- University of Rochester Medical Center, Rochester, NY, USA
| | - Heidi A. Hanson
- Department of Surgery and Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Emerald Jenkins
- Johns Hopkins University School of Nursing, Baltimore, MD, USA
| | - Young Juhn
- Precision Population Science Lab and Artificial Intelligence Program, Department of Pediatric and Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Frederick Kaskel
- Department of Pediatrics, Division of Pediatric Nephrology, Children’s Hospital at Montefiore, Bronx, NY, USA
| | - Christine E. Stake
- Division of Pediatric Surgery, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Dominic N. Reeds
- Center for Human Nutrition, Washington University School of Medicine, St. Louis, MO, USA
- Goldfarb School of Nursing at Barnes-Jewish College, St. Louis, MO, USA
| | - Mark R. Schleiss
- Department of Pediatrics, Division of Infectious Diseases, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Q. Eileen Wafford
- Galter Health Sciences Library and Learning Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Susanna A. McColley
- Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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Rowan AB, Grove J, Solfelt L, Magnante A. Reducing the Impacts of Mental Health Stigma Through Integrated Primary Care: An Examination of the Evidence. J Clin Psychol Med Settings 2020; 28:679-693. [PMID: 32990889 DOI: 10.1007/s10880-020-09742-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/15/2020] [Indexed: 10/23/2022]
Abstract
The reduction of mental health stigma (MHS) was an expected benefit of integrating behavioral health in primary care (IPC). However, unlike other barriers discussed in agency reports on IPC, discussions of MHS lack research support. To fill this gap, the authors conducted a literature review identifying seven studies. Given the dearth of research, we also examine general IPC research on probable indicators of MHS reduction in IPC, as well as, facets of IPC potentially influencing MHS related factors negatively associated with help-seeking. Using the data from these three types of research, the evidence suggests the potential of IPC to reduce MHS impact on care utilization, but indicates it is premature to draw firm conclusions. Given the possible benefits of primary care and the known benefits of decreased MHS, this review highlights the importance of further research examining this question and provides specific research and program development recommendations.
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Affiliation(s)
- Anderson B Rowan
- School of Psychology and Counseling, Regent University, 1000 Regent University Dr, CRB 161, Virginia Beach, VA, 23464, USA.
| | - Jessica Grove
- School of Psychology and Counseling, Regent University, 1000 Regent University Dr, CRB 161, Virginia Beach, VA, 23464, USA
| | - Lindsay Solfelt
- School of Psychology and Counseling, Regent University, 1000 Regent University Dr, CRB 161, Virginia Beach, VA, 23464, USA
| | - Anna Magnante
- School of Psychology and Counseling, Regent University, 1000 Regent University Dr, CRB 161, Virginia Beach, VA, 23464, USA
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Wooten NR, Tavakoli AS, Al-Barwani MB, Thomas NA, Chakraborty H, Scheyett AM, Kaminski KM, Woods AC, Levkoff SE. Comparing behavioral health models for reducing risky drinking among older male veterans. THE AMERICAN JOURNAL OF DRUG AND ALCOHOL ABUSE 2017; 43:545-555. [PMID: 28410002 PMCID: PMC5604788 DOI: 10.1080/00952990.2017.1286499] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Revised: 01/20/2017] [Accepted: 01/21/2017] [Indexed: 01/29/2023]
Abstract
BACKGROUND Screening older veterans in Veterans Affairs Medical Center (VAMC) primary care clinics for risky drinking facilitates early identification and referral to treatment. OBJECTIVE This study compared two behavioral health models, integrated care (a standardized brief alcohol intervention co-located in primary care clinics) and enhanced referral care (referral to specialty mental health or substance abuse clinics), for reducing risky drinking among older male VAMC primary care patients. VAMC variation was also examined. METHOD A secondary analysis of longitudinal data from the Primary Care Research in Substance Abuse and Mental Health for Elderly (PRISM-E) study, a multisite randomized controlled trial, was conducted with a sample of older male veterans (n = 438) who screened positive for risky drinking and were randomly assigned to integrated or enhanced referral care at five VAMCs. RESULTS Generalized estimating equations revealed no differences in either behavioral health model for reducing risky drinking at a 6-month follow-up (AOR: 1.46; 95% CI: 0.42-5.07). Older veterans seen at a VAMC providing geriatric primary care and geriatric evaluation and management teams had lower odds of risky drinking (AOR: 0.24; 95% CI: 0.07-0.81) than those seen at a VAMC without geriatric primary care services. CONCLUSIONS Both integrated and enhanced referral care reduced risky drinking among older male veterans. However, VAMCs providing integrated behavioral health and geriatric specialty care may be more effective in reducing risky drinking than those without these services. Integrating behavioral health into geriatric primary care may be an effective public health approach for reducing risky drinking among older veterans.
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Affiliation(s)
- Nikki R. Wooten
- College of Social Work, University of South Carolina, Columbia, SC, USA
- Lieutenant Colonel, U. S. Army Reserves, Columbia, SC, USA
| | | | | | - Naomi A. Thomas
- College of Social Work, University of South Carolina, Columbia, SC, USA
| | | | | | - Kelly M. Kaminski
- College of Social Work, University of South Carolina, Columbia, SC, USA
| | - Alyssia C. Woods
- College of Social Work, University of South Carolina, Columbia, SC, USA
| | - Sue E. Levkoff
- College of Social Work, University of South Carolina, Columbia, SC, USA
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Koopmans B, Nielen MMJ, Schellevis FG, Korevaar JC. Non-participation in population-based disease prevention programs in general practice. BMC Public Health 2012. [PMID: 23046688 DOI: 10.1186/1471-2458-12-856.3490995] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The number of people with a chronic disease will strongly increase in the next decades. Therefore, prevention of disease becomes increasingly important. The aim of this systematic review was to identify factors that negatively influence participation in population-based disease prevention programs in General Practice and to establish whether the program type is related to non-participation levels. METHODS We conducted a systematic review in Pubmed, EMBASE, CINAHL and PsycINFO, covering 2000 through July 6th 2012, to identify publications including information about characteristics of non-participants or reasons for non-participation in population-based disease prevention programs in General Practice. RESULTS A total of 24 original studies met our criteria, seven of which focused on vaccination, eleven on screening aimed at early detection of disease, and six on screening aimed at identifying high risk of a disease, targeting a variety of diseases and conditions. Lack of personal relevance of the program, younger age, higher social deprivation and former non-participation were related to actual non-participation. No differences were found in non-participation levels or factors related to non-participation between the three program types. The large variation in non-participation levels within the program types may be partly due to differences in recruitment strategies, with more active, personalized strategies resulting in higher participation levels compared to an invitation letter. CONCLUSIONS There is still much to be gained by tailoring strategies to improve participation in those who are less likely to do so, namely younger individuals, those living in a deprived area and former non-participants. Participation may increase by applying more active recruitment strategies.
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Affiliation(s)
- Berber Koopmans
- Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
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Koopmans B, Nielen MMJ, Schellevis FG, Korevaar JC. Non-participation in population-based disease prevention programs in general practice. BMC Public Health 2012; 12:856. [PMID: 23046688 PMCID: PMC3490995 DOI: 10.1186/1471-2458-12-856] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2012] [Accepted: 09/21/2012] [Indexed: 11/10/2022] Open
Abstract
Background The number of people with a chronic disease will strongly increase in the next decades. Therefore, prevention of disease becomes increasingly important. The aim of this systematic review was to identify factors that negatively influence participation in population-based disease prevention programs in General Practice and to establish whether the program type is related to non-participation levels. Methods We conducted a systematic review in Pubmed, EMBASE, CINAHL and PsycINFO, covering 2000 through July 6th 2012, to identify publications including information about characteristics of non-participants or reasons for non-participation in population-based disease prevention programs in General Practice. Results A total of 24 original studies met our criteria, seven of which focused on vaccination, eleven on screening aimed at early detection of disease, and six on screening aimed at identifying high risk of a disease, targeting a variety of diseases and conditions. Lack of personal relevance of the program, younger age, higher social deprivation and former non-participation were related to actual non-participation. No differences were found in non-participation levels or factors related to non-participation between the three program types. The large variation in non-participation levels within the program types may be partly due to differences in recruitment strategies, with more active, personalized strategies resulting in higher participation levels compared to an invitation letter. Conclusions There is still much to be gained by tailoring strategies to improve participation in those who are less likely to do so, namely younger individuals, those living in a deprived area and former non-participants. Participation may increase by applying more active recruitment strategies.
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Affiliation(s)
- Berber Koopmans
- Netherlands Institute for Health Services Research, Utrecht, The Netherlands.
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