Factors associated with non-adherence to dual-energy x-ray absorptiometry screening during the COVID-19 pandemic in an academic medical center.
Humans
Absorptiometry, Photon
/ statistics & numerical data
COVID-19
/ epidemiology
Female
Aged
Osteoporosis
/ diagnostic imaging
Academic Medical Centers
/ statistics & numerical data
Aged, 80 and over
SARS-CoV-2
Patient Compliance
/ statistics & numerical data
Mass Screening
/ statistics & numerical data
Bone Density
Adherence
DXA scan
No show
Osteoporosis
Journal
Archives of osteoporosis
ISSN: 1862-3514
Titre abrégé: Arch Osteoporos
Pays: England
ID NLM: 101318988
Informations de publication
Date de publication:
30 Jul 2024
30 Jul 2024
Historique:
received:
18
03
2024
accepted:
22
07
2024
medline:
31
7
2024
pubmed:
31
7
2024
entrez:
30
7
2024
Statut:
epublish
Résumé
This study explored why some elderly females do not adhere to their bone density tests. It found that factors like age, race, marital status, insurance type, social vulnerability index, and vaccination status influence completion of these tests. Addressing these differences could improve the management of bone health in older adults. This study investigated factors influencing the cancellation of dual-energy x-ray absorptiometry (DXA) scans among females aged 65 and above during the COVID-19 pandemic. Utilizing a dataset of 19,066 females from 2021 to 2023, the research employed chi-squared tests and logistic regression analyses to examine demographic, socio-economic, and health-related determinants of DXA scan adherence. Key findings revealed that younger seniors, White patients, married individuals, those with commercial/private or Medicare insurance, and vaccinated persons were more likely to complete DXA scans. In contrast, Asian and African American females, along with those from higher Social Vulnerability Index areas, showed lower completion rates. These results highlight the need for tailored strategies to improve osteoporosis screening adherence, focusing on identified demographic groups to enhance overall healthcare outcomes in osteoporosis management.
Identifiants
pubmed: 39080113
doi: 10.1007/s11657-024-01430-2
pii: 10.1007/s11657-024-01430-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
66Subventions
Organisme : NCATS NIH HHS
ID : UL1-TR001453
Pays : United States
Informations de copyright
© 2024. International Osteoporosis Foundation and Bone Health and Osteoporosis Foundation.
Références
Clynes MA, Harvey NC, Curtis EM, Fuggle NR, Dennison EM, Cooper C (2020) The epidemiology of osteoporosis. Br Med Bull 133(1):105–117. https://doi.org/10.1093/bmb/ldaa005
doi: 10.1093/bmb/ldaa005
pubmed: 32282039
Sing CW, Lin TC, Bartholomew S et al (2023) Global epidemiology of hip fractures: secular trends in incidence rate, post-fracture treatment, and all-cause mortality. J Bone Miner Res 38(8):1064–1075. https://doi.org/10.1002/jbmr.4821
doi: 10.1002/jbmr.4821
pubmed: 37118993
Harvey N, Dennison E, Cooper C (2010) Osteoporosis: impact on health and economics. Nat Rev Rheumatol 6(2):99–105. https://doi.org/10.1038/nrrheum.2009.260
doi: 10.1038/nrrheum.2009.260
pubmed: 20125177
Day JC (1992) Population projections of the United States, by age, sex, race, and Hispanic origin: 1992 to 2050. US Department of Commerce, Economics and Statistics Administration, Bureau of the Census
Black DM, Cummings SR, Karpf DB et al (1996) Randomised trial of effect of alendronate on risk of fracture in women with existing vertebral fractures. Fract Interv Trial Res Group Lancet 348(9041):1535–1541. https://doi.org/10.1016/s0140-6736(96)07088-2
doi: 10.1016/s0140-6736(96)07088-2
Gillespie CW, Morin PE (2017) Trends and disparities in osteoporosis screening among women in the United States, 2008–2014. Am J Med 130(3):306–316. https://doi.org/10.1016/j.amjmed.2016.10.018
doi: 10.1016/j.amjmed.2016.10.018
pubmed: 27884649
Dell R, Greene D (2010) Is osteoporosis disease management cost effective? Curr Osteoporos Rep 8(1):49–55. https://doi.org/10.1007/s11914-010-0009-0
doi: 10.1007/s11914-010-0009-0
pubmed: 20425091
Birabaharan M, Kaelber DC, Karris MY (2021) Bone mineral density screening among people with HIV: a population-based analysis in the United States. Open Forum Infect Dis 8(3):ofab081. https://doi.org/10.1093/ofid/ofab081
doi: 10.1093/ofid/ofab081
pubmed: 33796595
pmcid: 7990062
Force USPST, Curry SJ, Krist AH, et al (2018) Screening for osteoporosis to prevent fractures: US Preventive Services Task Force recommendation statement. JAMA 319(24):2521-31 https://doi.org/10.1001/jama.2018.7498
Choksi P, Gay BL, Haymart MR, Papaleontiou M (2023) Physician-reported barriers to osteoporosis screening: a nationwide survey. Endocr Pract 29(8):606–611. https://doi.org/10.1016/j.eprac.2023.05.001
doi: 10.1016/j.eprac.2023.05.001
pubmed: 37156374
pmcid: 10526724
Salminen H, Piispanen P, Toth-Pal E (2019) Primary care physicians’ views on osteoporosis management: a qualitative study. Arch Osteoporos 14(1):48. https://doi.org/10.1007/s11657-019-0599-9
doi: 10.1007/s11657-019-0599-9
pubmed: 31028556
pmcid: 6486622
Berg BP, Murr M, Chermak D et al (2013) Estimating the cost of no-shows and evaluating the effects of mitigation strategies. Med Decis Making 33(8):976–985. https://doi.org/10.1177/0272989X13478194
doi: 10.1177/0272989X13478194
pubmed: 23515215
pmcid: 4153419
Huang Z, Ashraf M, Gordish-Dressman H, Mudd P (2017) The financial impact of clinic no-show rates in an academic pediatric otolaryngology practice. Am J Otolaryngol 38(2):127–129. https://doi.org/10.1016/j.amjoto.2016.11.004
doi: 10.1016/j.amjoto.2016.11.004
pubmed: 27913067
Brochu M, Marcus K, Latorre S, Wanjau F, Garg A, Alper E, Lyu R, Wilkie T, Cheah J (2022) Improving osteoporosis screening in individuals of color. https://acrabstracts.org/abstract/improving-osteoporosis-screening-in-individuals-of-color/ . Accessed 29 Jul 2024
CDC. Social Vulnerability Index. Secondary Social Vulnerability Index. https://www.atsdr.cdc.gov/placeandhealth/svi/index.html . Accessed 29 Jul 2024
Shi Q, Herbert C, Ward DV et al (2022) COVID-19 variant surveillance and social determinants in Central Massachusetts: development study. JMIR Form Res 6(6):e37858. https://doi.org/10.2196/37858
doi: 10.2196/37858
pubmed: 35658093
pmcid: 9196873
SAS. SAS. Secondary SAS. https://www.sas.com/en_us/home.html . Accessed 29 Jul 2024
Epic. Secondary. https://www.epic.com/ . Accessed 29 Jul 2024
ESRI. ArcGIS Pro. Secondary ArcGIS Pro. https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview . Accessed 29 Jul 2024
Johnson KJ, O’Connell CP, Waken RJ, Barnes JM (2024) Impact of COVID-19 pandemic on breast cancer screening in a large midwestern United States academic medical center. PLoS ONE 19(5):e0303280. https://doi.org/10.1371/journal.pone.0303280
doi: 10.1371/journal.pone.0303280
pubmed: 38768115
pmcid: 11104587
Epstein MM, Sundaresan D, Fair M et al (2022) Trends in breast and prostate cancer screening and diagnostic procedures during the COVID-19 pandemic in Central Massachusetts. Cancer Causes Control 33(10):1313–1323. https://doi.org/10.1007/s10552-022-01616-4
doi: 10.1007/s10552-022-01616-4
pubmed: 35933572
pmcid: 9361987
Kelkar AH, Zhao J, Wang S, Cogle CR (2022) Impact of the COVID-19 pandemic on colorectal and prostate cancer screening in a large U.S. health system. Healthcare (Basel) 10(2):264. https://doi.org/10.3390/healthcare10020264
doi: 10.3390/healthcare10020264
pubmed: 35206878
DeGroff A, Miller J, Sharma K et al (2021) COVID-19 impact on screening test volume through the national breast and cervical cancer early detection program, January-June 2020, in the United States. Prev Med 151:106559. https://doi.org/10.1016/j.ypmed.2021.106559
doi: 10.1016/j.ypmed.2021.106559
pubmed: 34217410
pmcid: 9026719
Mani V, Banaag A, Munigala S et al (2023) Trends in breast cancer screening during the COVID-19 pandemic within a universally insured health system in the United States, 2017–2022. Cancer Med 12(18):19126–19136. https://doi.org/10.1002/cam4.6487
doi: 10.1002/cam4.6487
pubmed: 37641528
pmcid: 10557872
Star J, Bandi P, Siegel RL et al (2023) Cancer screening in the United States during the second year of the COVID-19 pandemic. J Clin Oncol 41(27):4352–4359. https://doi.org/10.1200/JCO.22.02170
doi: 10.1200/JCO.22.02170
pubmed: 36821800
pmcid: 10911528
Miller AJ, Chae E, Peterson E, Ko AB (2015) Predictors of repeated “no-showing” to clinic appointments. Am J Otolaryngol 36(3):411–414. https://doi.org/10.1016/j.amjoto.2015.01.017
doi: 10.1016/j.amjoto.2015.01.017
pubmed: 25672853
Gudlavalleti ASV, Elliott JO, Asadi R (2023) Factors associated with no-show to ambulatory tele-video neurology visits. Cureus 15(5):e38947. https://doi.org/10.7759/cureus.38947
doi: 10.7759/cureus.38947
pubmed: 37313074
pmcid: 10259680
Ratnapradipa KL, Jadhav S, Kabayundo J, Wang H, Smith LC (2023) Factors associated with delaying medical care: cross-sectional study of Nebraska adults. BMC Health Serv Res 23(1):118. https://doi.org/10.1186/s12913-023-09140-0
doi: 10.1186/s12913-023-09140-0
pubmed: 36739376
pmcid: 9899134
Greig EC, Gonzalez-Colaso R, Nwanyanwu K (2023) Racial, ethnic, and socioeconomic disparities drive appointment no-show in patients with chronic eye disease. J Racial Ethn Health Disparities 10(4):1790–1797. https://doi.org/10.1007/s40615-022-01363-x
doi: 10.1007/s40615-022-01363-x
pubmed: 35864353
Hunter BN, Cardon B, Oakley GM, Sharma A, Crosby DL (2019) Factors associated with patient nonattendance in rhinology clinics. Am J Rhinol Allergy 33(3):317–322. https://doi.org/10.1177/1945892419826247
doi: 10.1177/1945892419826247
pubmed: 30693801
Fiorillo CE, Hughes AL, Chen I-C et al (2018) Factors associated with patient no-show rates in an academic otolaryngology practice. Laryngoscope 128(3):626–31. https://doi.org/10.1002/lary.26816
doi: 10.1002/lary.26816
pubmed: 28815608
Curry EJ, Tybor DJ, Jonas N et al (2020) An evaluation of risk factors for patient “no shows” at an urban joint arthroplasty clinic. J Am Acad Orthop Surg 28(22):e1006–e1013. https://doi.org/10.5435/JAAOS-D-19-00550
doi: 10.5435/JAAOS-D-19-00550
pubmed: 33156587
Bukhari OM, Sohrabi K, Tavares M (2016) Factors affecting patients’ adherence to orthodontic appointments. Am J Orthod Dentofacial Orthop 149(3):319–324. https://doi.org/10.1016/j.ajodo.2015.07.040
doi: 10.1016/j.ajodo.2015.07.040
pubmed: 26926018
Shuja A, Harris C, Aldridge P, Malespin M, de Melo SW Jr (2019) Predictors of no-show rate in the GI endoscopy suite at a safety net academic medical center. J Clin Gastroenterol 53(1):29-33 https://doi.org/10.1097/MCG.0000000000000928
Kaplan-Lewis E, Percac-Lima S (2013) No-show to primary care appointments: why patients do not come. J Prim Care Community Health 4(4):251–255. https://doi.org/10.1177/2150131913498513
doi: 10.1177/2150131913498513
pubmed: 24327664
van Andel E, Been SK, Rokx C, van der Ende ME (2016) Risk factors in an HIV-infected population for refraining from specialist care. AIDS Care 28(10):1255–60. https://doi.org/10.1080/09540121.2016.1168914
doi: 10.1080/09540121.2016.1168914
pubmed: 27055103
Ahmadi O, Maher W, White J (2021) Non-attendance at an out-patient otolaryngology and head and neck clinic in New Zealand: impact of coronavirus disease 2019, and demographic, clinical and environmental factors. J Laryngol Otol 135(6):533–538. https://doi.org/10.1017/S0022215121001092
doi: 10.1017/S0022215121001092
pubmed: 33988101
Odonkor CA, Christiansen S, Chen Y et al (2017) Factors associated with missed appointments at an academic pain treatment center: a prospective year-long longitudinal study. Anesth Analg 125(2):562–570. https://doi.org/10.1213/ANE.0000000000001794
doi: 10.1213/ANE.0000000000001794
pubmed: 28277318
DuMontier C, Rindfleisch K, Pruszynski J, Frey JJ 3rd (2013) A multi-method intervention to reduce no-shows in an urban residency clinic. Fam Med 45(9):634–641
pubmed: 24136694
Dantas LF, Fleck JL, Cyrino Oliveira FL, Hamacher S (2018) No-shows in appointment scheduling - a systematic literature review. Health Policy 122(4):412–421. https://doi.org/10.1016/j.healthpol.2018.02.002
doi: 10.1016/j.healthpol.2018.02.002
pubmed: 29482948
Demeter S, Reed M, Lix L, MacWilliam L, Leslie WD (2005) Socioeconomic status and the utilization of diagnostic imaging in an urban setting. CMAJ 173(10):1173–1177. https://doi.org/10.1503/cmaj.050609
doi: 10.1503/cmaj.050609
pubmed: 16275968
pmcid: 1277044
Bath PA, Deeg D (2005) Social engagement and health outcomes among older people: introduction to a special section. Eur J Ageing 2(1):24–30. https://doi.org/10.1007/s10433-005-0019-4
doi: 10.1007/s10433-005-0019-4
pubmed: 28794713
pmcid: 5547666
Nguyen DL, Dejesus RS, Wieland ML (2011) Missed appointments in resident continuity clinic: patient characteristics and health care outcomes. J Grad Med Educ 3(3):350–355. https://doi.org/10.4300/JGME-D-10-00199.1
doi: 10.4300/JGME-D-10-00199.1
pubmed: 22942961
pmcid: 3179242
Waller J, Hodgkin P (2000) Defaulters in general practice: who are they and what can be done about them? Fam Pract 17(3):252–253. https://doi.org/10.1093/fampra/17.3.252
doi: 10.1093/fampra/17.3.252
pubmed: 10846145
Lasser KE, Mintzer IL, Lambert A, Cabral H, Bor DH (2005) Missed appointment rates in primary care: the importance of site of care. J Health Care Poor Underserved 16(3):475–486. https://doi.org/10.1353/hpu.2005.0054
doi: 10.1353/hpu.2005.0054
pubmed: 16118837
Neal RD, Lawlor DA, Allgar V et al (2001) Missed appointments in general practice: retrospective data analysis from four practices. Br J Gen Pract 51(471):830–832
pubmed: 11677708
pmcid: 1314130
Cosgrove MP (1990) Defaulters in general practice: reasons for default and patterns of attendance. Br J Gen Pract 40(331):50–52
pubmed: 2107849
pmcid: 1371138
Andreae MH, Nair S, Gabry JS, Goodrich B, Hall C, Shaparin N (2017) A pragmatic trial to improve adherence with scheduled appointments in an inner-city pain clinic by human phone calls in the patient’s preferred language. J Clin Anesth 42:77–83. https://doi.org/10.1016/j.jclinane.2017.08.014
doi: 10.1016/j.jclinane.2017.08.014
pubmed: 28841451
pmcid: 5623077
Set KK, Bailey J, Kumar G (2022) Reduction of no-show rate for new patients in a pediatric neurology clinic. Jt Comm J Qual Patient Saf 48(12):674–681. https://doi.org/10.1016/j.jcjq.2022.09.001
doi: 10.1016/j.jcjq.2022.09.001
pubmed: 36243658
Parikh A, Gupta K, Wilson AC, Fields K, Cosgrove NM, Kostis JB (2010) The effectiveness of outpatient appointment reminder systems in reducing no-show rates. Am J Med 123(6):542–548. https://doi.org/10.1016/j.amjmed.2009.11.022
doi: 10.1016/j.amjmed.2009.11.022
pubmed: 20569761