Pivoting from in-person to phone survey assessment of alcohol and substance use: effects on representativeness in a United States prospective cohort of women living with and without HIV

References

• De Man J, Campbell L, Tabana H, Wouters E. The pandemic of online research in times of COVID-19. BMJ Open. 2021;11:e043866. doi:10.1136/bmjopen-2020-043866.
   PubMed Web of Science ®Google Scholar
• Menon S, Sonderegger P, Totapally S. Five questions to consider when conducting COVID-19 phone research. BMJ Glob Health. 2021;6:e004917. doi:10.1136/bmjgh-2020-004917.
   PubMed Web of Science ®Google Scholar
• Aquilino WS. Telephone versus face-to-face interviewing for household Drug use surveys. Int J Addict. 1991;27:71–91. doi:10.3109/10826089109063463.
   Google Scholar
• Boniface S, Scholes S, Shelton N, Connor J, Schooling CM. Assessment of non-response bias in estimates of alcohol consumption: applying the continuum of resistance model in a general population survey in England. PLOS One. 2017;12:e0170892. doi:10.1371/journal.pone.0170892.
   PubMed Web of Science ®Google Scholar
• McCabe SE, West BT. Selective nonresponse bias in population-based survey estimates of drug use behaviors in the United States. Soc Psych Psych Epid. 2016;51:141–53. doi:10.1007/s00127-015-1122-2.
   PubMed Web of Science ®Google Scholar
• Nwaru CA, Lövestad S, Gunnarsdóttir H, Sundh V, Hensing G. Determinants of non-response in a longitudinal study of participants in the women and alcohol in Gothenburg project. Women Health. 2021;61:452–60. doi:10.1080/03630242.2021.1917482.
   PubMed Web of Science ®Google Scholar
• Peytcheva E, Wang K, Bose J, Hedden S, Hunter D, Tice P. Nonresponse bias in demographic and survey estimates from the mental health surveillance study of the national survey on drug use and health. Rockville (MD): Substance Abuse and Mental Health Services Administration; 2017.
   Google Scholar
• Rehm J, Kilian C, Rovira P, Shield KD, Manthey J. The elusiveness of representativeness in general population surveys for alcohol. Drug Alcohol Rev. 2021;40:161–65. doi:10.1111/dar.13148.
   PubMed Web of Science ®Google Scholar
• Zhao J, Stockwell T, Macdonald S. Non-response bias in alcohol and drug population surveys. Drug Alcohol Rev. 2009;28:648–57. doi:10.1111/j.1465-3362.2009.00077.x.
   PubMed Web of Science ®Google Scholar
• Greenfield TK, Midanik LT, Rogers JD. Effects of telephone versus face-to-face interview modes on reports of alcohol consumption. Addiction. 2000;95:277–84. doi:10.1046/j.1360-0443.2000.95227714.x.
   PubMed Web of Science ®Google Scholar
• Ahmad F, Rossen L, Sutton P. Provisional drug overdose death counts. Hyattsville (MD): National Center for Health Statistics; 2021.
   Google Scholar
• Barbosa C, Cowell AJ, Dowd WN. Alcohol consumption in response to the COVID-19 pandemic in the United States. J Addict Med. 2020;15:341–44. doi:10.1097/ADM.0000000000000767.
   Web of Science ®Google Scholar
• Pollard MS, Tucker JS, Green HD Jr. Changes in adult alcohol use and consequences during the COVID-19 pandemic in the US. JAMA Netw Open. 2020;3:e2022942. doi:10.1001/jamanetworkopen.2020.22942.
   PubMed Web of Science ®Google Scholar
• Rodriguez LM, Litt DM, Stewart SH. Drinking to cope with the pandemic: the unique associations of COVID-19-related perceived threat and psychological distress to drinking behaviors in American men and women. Addict Behav. 2020;110:106532. doi:10.1016/j.addbeh.2020.106532.
   PubMed Web of Science ®Google Scholar
• Connor J, Madhavan S, Mokashi M, Amanuel H, Johnson NR, Pace LE, Bartz D. Health risks and outcomes that disproportionately affect women during the covid-19 pandemic: a review. Social Sci Med. 2020;266:113364. 10.1016/j.socscimed.2020.113364
   PubMed Web of Science ®Google Scholar
• Jones DL, Rodriguez VJ, Salazar AS, Montgomerie E, Raccamarich PD, Uribe Starita C, Barreto Ojeda IT, Beauchamps L, Vazquez A, Martinez T, et al. Sex differences in the association between stress, loneliness, and COVID-19 burden among people with HIV in the US. AIDS Res Hum Retroviruses. 2021;37:314–21. doi:10.1089/aid.2020.0289.
   PubMed Web of Science ®Google Scholar
• Philpot LM, Ramar P, Roellinger DL, Barry BA, Sharma P, Ebbert JO. Changes in social relationships during an initial “stay-at-home” phase of the COVID-19 pandemic: a longitudinal survey study in the U.S. Social Sci Med. 2021;274:113779. doi:10.1016/j.socscimed.2021.113779.
   PubMed Web of Science ®Google Scholar
• Rodriguez LM, Litt DM, Stewart SH. Drinking to cope with the pandemic: the unique associations of COVID-19-related perceived threat and psychological distress to drinking behaviors in American men and women. Addict Behav. 2020;110:106532. doi:10.1016/j.addbeh.2020.106532.
   PubMed Web of Science ®Google Scholar
• Adimora AA, Ramirez C, Benning L, Greenblatt RM, Kempf M-C, Tien PC, Kassaye SG, Anastos K, Cohen M, Minkoff H, et al. Cohort profile: the Women’s Interagency HIV Study (WIHS). Int J Epidemiol. 2018;47:393–4i.
   PubMed Web of Science ®Google Scholar
• D’Souza G, Bhondoekhan F, Benning L, Margolick JB, Adedimeji AA, Adimora AA, Alcaide ML, Cohen MH, Detels R, Friedman MR, et al. Characteristics of the MACS/WIHS combined cohort study: opportunities for research on aging with HIV in the longest US observational study of HIV. Am J Epidemiol. 2021;190:1457–75.
   PubMed Web of Science ®Google Scholar
• Hessol NA, Schneider M, Greenblatt RM, Bacon M, Barranday Y, Holman S, Robison E, Williams C, Cohen M, Weber K. Retention of women enrolled in a prospective study of human immunodeficiency virus infection: impact of race, unstable housing, and use of human immunodeficiency virus therapy. Am J Epidemiol. 2001;154:563–73. doi:10.1093/aje/154.6.563.
   PubMed Web of Science ®Google Scholar
• Hessol NA, Weber KM, Holman S, Robison E, Goparaju L, Alden CB, et al. Retention and attendance of women enrolled in a large prospective study of HIV-1 in the United States. J Women Health. 2009;18:1627–37. doi:10.1089/jwh.2008.1337.
   PubMed Web of Science ®Google Scholar
• Higgins-Biddle JC, Babor TF. A review of the alcohol use Disorders identification test (AUDIT), AUDIT-C, and USAUDIT for screening in the United States: past issues and future directions. Am J Drug Alcohol Abuse. 2018;44:578–86. doi:10.1080/00952990.2018.1456545.
   PubMed Web of Science ®Google Scholar
• Devins GM, Orme CM, Costello CG, Binik YM, Frizzell B, Stam HJ, Pullin, W M. Measuring depressive symptoms in illness populations: psychometric properties of the Center for Epidemiologic Studies Depression (CES-D) Scale. Psychology & Health. 1988;2(2):139–56. doi:10.1080/08870448808400349.
   Google Scholar
• Thomas JL, Jones GN, Scarinci IC, Mehan DJ, Brantley PJ. The utility of the ces-D as a depression screening measure among low-income women attending primary care clinics. Int J Psychiatry Med. 2001;31:25–40. doi:10.2190/FUFR-PK9F-6U10-JXRK.
   PubMed Web of Science ®Google Scholar
• Dahlhamer JM, Bramlett MD, Maitland A, Blumberg SJ. Preliminary evaluation of the nonresponse due to the COVID-19 pandemic on national health interview survey estimates, April-June 2020. Hyattsville (MD): Centers for Disease Control and Prevention; 2021.
   Google Scholar
• Dawson DA, Goldstein RB, Pickering RP, Grant BF. Nonresponse bias in survey estimates of alcohol consumption and its association with harm. J Stud Alcohol Drugs. 2014;75:695–703. doi:10.15288/jsad.2014.75.695.
   PubMed Web of Science ®Google Scholar
• Haley DF, Lucas J, Golin CE, Wang J, Hughes JP, Emel L, El-Sadr W, Frew PM, Justman J, Adimora AA, et al. Retention strategies and factors associated with missed visits among low income women at increased risk of HIV acquisition in the US (HPTN 064). AIDS Patient Care STDS. 2014;28:206–17.
   PubMed Web of Science ®Google Scholar
• Ward JM, Anne Edwards K. Assessing the link between survey interview method and survey outcomes: evidence from the CPS and the COVID-19 pandemic. Labour Econ. 2021;72:102060. doi:10.1016/j.labeco.2021.102060.
   PubMed Web of Science ®Google Scholar
• Team R. RStudio: integrated development for R. In: Team R, editor. Boston, MA: RStudio, PBC; 2020.
   Google Scholar
• Hsia DS, Williams KM, Beyl RA. Participant perspectives concerning resuming clinical research in the era of COVID-19. J Clin Med Res. 2022;14:165–69. doi:10.14740/jocmr4670.
   PubMedGoogle Scholar
• Falcon R, Bridge DA, Currier J, Squires K, Hagins D, Schaible D, et al. Recruitment and retention of diverse populations in antiretroviral clinical Trials: practical applications from the gender, race and clinical experience study. J Women Health. 2011;20:1043–50. doi:10.1089/jwh.2010.2504.
   PubMed Web of Science ®Google Scholar
• Kelty M, Bates A, Pinn VW. Chapter 13 - National Institutes of Health policy on the inclusion of women and minorities as subjects in clinical research. In: Gallin J, F Ognibene, editors. Principles and practice of clinical research. 3rd ed. Boston: Academic Press; 2012. p. 147–59.
   Google Scholar
• Melamed OC, Hauck TS, Buckley L, Selby P, Mulsant BH. Article commentary: covid-19 and persons with substance use Disorders: inequities and mitigation strategies. Subst Abus. 2020;41:286–91. doi:10.1080/08897077.2020.1784363.
   PubMed Web of Science ®Google Scholar
• Perri M, Dosani N, Hwang SW. COVID-19 and people experiencing homelessness: challenges and mitigation strategies. Can Med Assoc J. 2020;192:E716–E9. doi:10.1503/cmaj.200834.
   PubMed Web of Science ®Google Scholar
• Tai DBG, Shah A, Doubeni CA, Sia IG, Wieland ML. The disproportionate impact of COVID-19 on racial and ethnic minorities in the United States. Clin Infect Dis. 2021;72:703–06. doi:10.1093/cid/ciaa815.
   PubMed Web of Science ®Google Scholar
• Link MW, Mokdad AH, Stackhouse HF, Flowers NT. Race, ethnicity, and linguistic isolation as determinants of participation in public health surveillance surveys. Prev Chronic Dis. 2006;3:A09–A.
   PubMedGoogle Scholar
• Rothbaum J, Bee A. Coronavirus infects surveys, too: survey nonresponse bias and the coronavirus pandemic. Washington (DC): U.S. Census Bureau; 2021 May 3.
   Google Scholar
• Abshire M, Dinglas VD, Cajita MIA, Eakin MN, Needham DM, Himmelfarb CD. Participant retention practices in longitudinal clinical research studies with high retention rates. BMC Med Res Methodol. 2017;17. doi:10.1186/s12874-017-0310-z.
   PubMed Web of Science ®Google Scholar
• Stewart C, Kopinski H, Liebschutz J, Holmdahl I, Keosaian J, Herman D, Anderson B, Stein M. The provision of cell phones as a recruitment and retention strategy for people who inject drugs enrolling in a randomized trial. Drug Alcohol Depen. 2018;184:20–25.
   PubMed Web of Science ®Google Scholar
• Teague S, Youssef GJ, Macdonald JA, Sciberras E, Shatte A, Fuller-Tyszkiewicz M, Greenwood C, McIntosh J, Olsson CA, Hutchinson D, et al. Retention strategies in longitudinal cohort studies: a systematic review and meta-analysis. BMC Med Res Methodol. 2018;18. doi:10.1186/s12874-018-0586-7.
   PubMed Web of Science ®Google Scholar
• Pertl K, Petluri R, Wiest K, Hoffman K, McCarty D, Levander XA, Chan B, Martin SA, Korthuis PT. Recruitment challenges for a prospective telehealth cohort study. Contem Clin Trials Commun. 2023;31:101043. doi:10.1016/j.conctc.2022.101043.
   PubMed Web of Science ®Google Scholar
• Tipre M, Scarinci IC, Pandya VN, Kim Y-I, Bae S, Peral S, Hardy C, Baskin ML. Attitudes toward telemedicine among urban and rural residents. J Telemed Telecare. 2022;1357633X2210942. doi:10.1177/1357633X221094215.
   Web of Science ®Google Scholar
• Nguyen M-L, Garcia F, Juarez J, Zeng B, Khoong EC, Nijagal MA, Sarkar U, Su G, Lyles CR. Satisfaction can co-exist with hesitation: qualitative analysis of acceptability of telemedicine among multi-lingual patients in a safety-net healthcare system during the COVID-19 pandemic. BMC Health Serv Res. 2022;22. doi:10.1186/s12913-022-07547-9.
   Web of Science ®Google Scholar
• Imbert E, Hickey MD, Del Rosario JB, Conte M, Kerkhoff AD, Clemenzi-Allen A, Riley ED, Havlir DV, Gandhi M. Heterogeneous preferences for care engagement among people with HIV experiencing homelessness or unstable housing during the COVID-19 pandemic. J Acquir Immune Defic Syndr. 2022;90:140–45. doi:10.1097/QAI.0000000000002929.
   PubMed Web of Science ®Google Scholar