Why may patients with spinal cord injury be overlooked for obesity screening in the Veterans Health Administration? Qualitative research of the perspectives of patients and healthcare providers

References

• Buchholz AC, McGillivray CF, Pencharz PB. Differences in resting metabolic rate between paraplegic and able-bodied subjects are explained by differences in body composition. Am J Clin Nutr. 2003;77(2):371–378.
   PubMed Web of Science ®Google Scholar
• Rajan S, McNeely MJ, Warms C, et al. Clinical assessment and management of obesity in individuals with spinal cord injury: a review. J Spinal Cord Med. 2008;31(4):361–372.
   PubMed Web of Science ®Google Scholar
• Eisenberg D, Gupta S, Bowe TR, et al. Obesity in veterans with spinal cord injury and variation in rates of mandated annual BMI screening. Surg Obes Relat Dis. 2018;14(11):S102.
   Google Scholar
• Gupta N, White KT, Sandford PR. Body mass index in spinal cord injury – a retrospective study. Spinal Cord. 2006;44(2):92–94.
   PubMed Web of Science ®Google Scholar
• Eisenberg D, LaVela SL, Frayne SM, et al. Rates, variability, and predictors of screening for obesity: are individuals with spinal cord injury being overlooked? Obes Facts. 2022;15(3):451–457.
   PubMed Web of Science ®Google Scholar
• Gorgey AS, Gater DR. Prevalence of obesity after spinal cord injury. Top Spinal Cord Inj Rehabil. 2007;12(4):1–7.
   PubMedGoogle Scholar
• Gater DR, Farkas GJ, Dolbow DR, et al. Body composition and metabolic assessment after motor complete spinal cord injury: development of a clinically relevant equation to estimate body fat. Top Spinal Cord Inj Rehabil. 2021;27(1):11–22.
   PubMed Web of Science ®Google Scholar
• Croswell J, Luger S. Screening for and management of obesity in adults. Am Fam Physician. 2012;86(10):947–948.
   PubMed Web of Science ®Google Scholar
• Moyer VA. Screening for and management of obesity in adults: U.S. Preventive services task force recommendation statement. Ann Intern Med. 2012;157(5):373–378.
   PubMed Web of Science ®Google Scholar
• Veterans Affairs/Dept of Defense. VA/DoD clinical practice guideline for the management of adult overweight and Obesity. p. 19, 23. VA/DoD Evidence-Based Practice Work Group (EBPWG); 2020. [cited 21 Nov 2021]. https://www.healthquality.va.gov/guidelines/CD/obesity/VADoDObesityCPGFinal5087242020.pdf.
   Google Scholar
• Breland JY, Phibbs CS, Hoggatt KJ, et al. The obesity epidemic in the veterans health administration: prevalence among key populations of women and men veterans. J Gen Intern Med. 2017;32(Suppl 1):11–17.
   PubMedGoogle Scholar
• Silveira SL, Ledoux TA, Robinson-Whelen S, et al. Methods for classifying obesity in spinal cord injury: a review. Spinal Cord. 2017;55(9):812–817.
   PubMed Web of Science ®Google Scholar
• Nash MS, Groah SL, Gater DR, Consortium for Spinal Cord Medicine, et al. Identification and management of cardiometabolic risk after spinal cord injury: clinical practice guideline for health care providers. Top Spinal Cord Inj Rehabil. 2018;24(4):379–423.
   PubMed Web of Science ®Google Scholar
• Laughton GE, Buchholz AC, Martin Ginis KA, SHAPE SCI Research Group, et al. Lowering body mass index cutoffs better identifies obese persons with spinal cord injury. Spinal Cord. 2009;47(10):757–762.
   PubMed Web of Science ®Google Scholar
• Gater DR. Obesity after spinal cord injury. Phys Med Rehabil Clin N Am. 2007;18(2):333–351, vii.
   PubMedGoogle Scholar
• Veterans Affairs. Spinal cord injuries and disorders system of care. Spinal cord injuries and disorders. 2021. https://www.sci.va.gov/VAs_SCID_System_of_Care.asp
   Google Scholar
• Raggi A, Brunani A, Sirtori A, ICF-Obesity Group, et al. Obesity-related disability: key factors identified by the international classification of functioning, disability and health. Disabil Rehabil. 2010;32(24):2028–2034.
   PubMed Web of Science ®Google Scholar
• Tomiyama AJ, Carr D, Granberg EM, et al. How and why weight stigma drives the obesity ‘epidemic’ and harms health. BMC Med. 2018;16(1):123.
   PubMed Web of Science ®Google Scholar
• World Health Organization (WHO). International Classification of Functioning, Disability and Health (ICF). 2001. https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health
   Google Scholar
• Li C, Cao Y, Krause J. A 25-year cross-sequential analysis of changes in quality of life after spinal cord injury: findings from the spinal cord injury longitudinal aging study. Arch Phys Med Rehabil. 2020;101(11):e7.
   Google Scholar
• Sirtori A, Brunani A, Villa V, et al. Obesity is a marker of reduction in QoL and disability. Sci World J. 2012;2012:1–6.
   Web of Science ®Google Scholar
• Jensen MP, Kuehn CM, Amtmann D, et al. Symptom burden in persons with spinal cord injury. Arch Phys Med Rehabil. 2007;88(5):638–645.
   PubMed Web of Science ®Google Scholar
• Prysak G, Andresen E, Meyers A. Prevalence of secondary conditions in veterans with spinal cord injury and their interference with life activities. Topics Spinal Cord Injury Rehabil. 2000;6(1):34–42.
   Google Scholar
• Chen Y, Cao Y, Allen V, et al. Weight matters: physical and psychosocial well being of persons with spinal cord injury in relation to body mass index. Arch Phys Med Rehabil. 2011;92(3):391–398.
   PubMed Web of Science ®Google Scholar
• Wen H, DeVivo MJ, Heinemann AW, et al. Mortality beyond the first year after spinal cord injury: does body mass index matter? Arch Phys Med Rehabil. 2021;103(4):711–721.
   PubMed Web of Science ®Google Scholar
• Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349–357.
   PubMed Web of Science ®Google Scholar
• Palinkas LA, Horwitz SM, Green CA, et al. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm Policy Ment Health. 2015;42(5):533–544.
   PubMed Web of Science ®Google Scholar
• Namey E, Guest G, McKenna K, et al. Evaluating bang for the buck: a Cost-Effectiveness comparison between individual interviews and focus groups based on thematic saturation levels. Am J Eval. 2016 Sep;37(3):425–440.
   Web of Science ®Google Scholar
• Guest G, Namey E, McKenna K. How many focus groups are enough? Building an evidence base for nonprobability sample sizes. Field Methods. 2017;29(1):3–22.
   Web of Science ®Google Scholar
• Malterud K, Siersma VD, Guassora AD. Sample size in qualitative interview studies: guided by information power. Qual Health Res. 2016;26(13):1753–1760.
   PubMed Web of Science ®Google Scholar
• Hennink M, Kaiser BN. Sample sizes for saturation in qualitative research: a systematic review of empirical tests. Soc Sci Med. 2022;292:114523.
   PubMed Web of Science ®Google Scholar
• Wu J, Lewis ET, Barnett PG, et al. Instant messaging: an innovative way to recruit primary care providers for qualitative research. J Gen Intern Med. 2020;35(5):1612–1614.
   PubMed Web of Science ®Google Scholar
• Miller CJ, Burgess JF, Fischer EP, et al. Practical application of opt-out recruitment methods in two health services research studies. BMC Med Res Methodol. 2017;17(1):57.
   PubMedGoogle Scholar
• Hamilton JB. Rigor in qualitative methods: an evaluation of strategies among underrepresented rural communities. Qual Health Res. 2020;30(2):196–204.
   PubMed Web of Science ®Google Scholar
• Morse JM. Critical analysis of strategies for determining rigor in qualitative inquiry. Qual Health Res. 2015;25(9):1212–1222.
   PubMed Web of Science ®Google Scholar
• Nevedal AL, Reardon CM, Opra Widerquist MA, et al. Rapid versus traditional qualitative analysis using the Consolidated Framework for Implementation Research (CFIR). Implement Sci. 2021;16(67):1–12.
   Google Scholar
• Hamilton AB. Qualitative methods in rapid turn-around health services research. PowerPoint presented at 2013 VA HSR&D Cyberseminar Spotlight on Women’s Health. 2013. [cited 16 Nov 2020]. www.hsrd.research.va.gov/for_researchers/cyber_seminars/archives/video_archive.cfm?SessionID=780
   Google Scholar
• Hsieh H-F, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005;15(9):1277–1288.
   PubMed Web of Science ®Google Scholar
• Averill JB. Matrix analysis as a complementary analytic strategy in qualitative inquiry. Qual Health Res. 2002;12(6):855–866.
   PubMed Web of Science ®Google Scholar
• Carter N, Bryant-Lukosius D, DiCenso A, et al. The use of triangulation in qualitative research. Oncol Nurs Forum. 2014;41(5):545–547.
   PubMed Web of Science ®Google Scholar
• Maukonen M, Männistö S, Tolonen H. A comparison of measured versus self-reported anthropometrics for assessing obesity in adults: a literature review. Scand J Public Health. 2018;46(5):565–579.
   PubMed Web of Science ®Google Scholar
• Rothman KJ. BMI-related errors in the measurement of obesity. Int J Obes. 2008;32(S3):S56–S59.
   Web of Science ®Google Scholar
• Froehlich-Grobe K, Nary DE, Van Sciver A, et al. Measuring height without a stadiometer: empirical investigation of four height estimates among wheelchair users. Am J Phys Med Rehabil. 2011;90(8):658–666.
   PubMed Web of Science ®Google Scholar
• Pellegrini CA, Burkhart L, Jones K, et al. Health provider identified barriers and facilitators to weight management for individuals with spinal cord injury. Spinal Cord. 2021;59(10):1061–1071.
   PubMed Web of Science ®Google Scholar
• Locatelli S, Gerber B, Goldstein B, et al. Health care provider practices, barriers, and facilitators for weight management for individuals with spinal cord injuries and disorders. Top Spinal Cord Inj Rehabil. 2014;20(4):329–337.
   PubMedGoogle Scholar
• Adab P, Pallan M, Whincup PH. Is BMI the best measure of obesity? BMJ. 2018;360:k1274.
   PubMedGoogle Scholar
• WHO Expert Consultation Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet. 2004;363:157–163.
   PubMed Web of Science ®Google Scholar
• Mozumdar A, Roy SK. Method for estimating body weight in persons with lower-limb amputation and its implication for their nutritional assessment. Am J Clin Nutr. 2004;80(4):868–875.
   PubMed Web of Science ®Google Scholar
• Ravensbergen HRJC, Lear SA, Claydon VE. Waist circumference is the best index for Obesity-Related cardiovascular disease risk in individuals with spinal cord injury. J Neurotrauma. 2014;31(3):292–300. ()
   PubMed Web of Science ®Google Scholar
• Buchholz AC, Bugaresti JM. A review of body mass index and waist circumference as markers of obesity and coronary heart disease risk in persons with chronic spinal cord injury. Spinal Cord. 2005;43(9):513–518.
   PubMed Web of Science ®Google Scholar
• Han T, Seidell J, Currall J, et al. The influences of height and age on waist circumference as an index of adiposity in adults. Int J Obes Relat Metab Disord. 1997;21(1):83–89.
   PubMed Web of Science ®Google Scholar
• LaVela SL, Burkhart E, Jones K, et al. Health care provider views on the magnitude of overweight/obesity in spinal cord injury and awareness of evidence‐based guidance for weight management. PM&R. 2021 Sep 17.
   Google Scholar
• Yahiro AM, Wingo BC, Kunwor S, et al. Classification of obesity, cardiometabolic risk, and metabolic syndrome in adults with spinal cord injury. J Spinal Cord Med. 2019;:1–12.
   Web of Science ®Google Scholar
• Hendershot KM, Robinson L, Roland J, et al. Estimated height, weight, and body mass index: implications for research and patient safety. J Am Coll Surg. 2006;203(6):887–893.
   PubMed Web of Science ®Google Scholar
• Foil MB, Collier MS, MacDonald KG, et al. Availability and adequacy of diagnostic and therapeutic equipment for the morbidly obese patient in an acute care setting. Obes Surg. 1993;3(2):153–156.
   PubMed Web of Science ®Google Scholar
• Johnston MV, Diab ME, Chu B-C, et al. Preventive services and health behaviors among people with spinal cord injury. J Spinal Cord Med. 2005;28(1):43–54.
   PubMed Web of Science ®Google Scholar
• Raffa SD, Maciejewski ML, Zimmerman LE, et al. A System-Level approach to overweight and obesity in the veterans health administration. J Gen Intern Med. 2017;32(Suppl 1):79–82.
   PubMedGoogle Scholar
• Oakley L, Soh S-E, Kimmel L, et al. The impact of obesity in rehabilitation: a mismatch between staff perception and hospital outcomes. Disabil Rehabil. 2022;44(3):363–369.
   PubMed Web of Science ®Google Scholar
• Lee M, Ata RN, Brannick MT. Malleability of weight-biased attitudes and beliefs: a meta-analysis of weight bias reduction interventions. Body Image. 2014;11(3):251–259.
   PubMed Web of Science ®Google Scholar
• Seida JC, Sharma AM, Johnson JA, et al. Hospital rehabilitation for patients with obesity: a scoping review. Disabil Rehabil. 2018;40(2):125–134.
   PubMed Web of Science ®Google Scholar