Matching platforms and HIV incidence: An empirical investigation of race, gender, and socioeconomic status

Management Science

Volumn 62, Issue 8, 2016, Pages 2281-2303

  Greenwood, Brad N ^a   Agarwal, Ritu ^b  

^a TEMPLE UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Digital divide; HIV; Natural experiment; Platforms; Public health; Two sided matching

Indexed keywords

ECONOMICS; INTERNET; PUBLIC HEALTH; RISK ASSESSMENT; VIRUSES;

DIGITAL DIVIDE; EMPIRICAL INVESTIGATION; HUMAN IMMUNODEFICIENCY VIRUS; NATURAL EXPERIMENT; NEGATIVE EXTERNALITIES; PLATFORM IMPLEMENTATIONS; PLATFORMS; TWO SIDED MATCHING;

DISEASES;

EID: 84983048094     PISSN: 00251909     EISSN: 15265501     Source Type: Journal    
DOI: 10.1287/mnsc.2015.2232     Document Type: Article

References (82)

1. Agarwal R, Gao G, DesRoches C, Jha AK (2010) The digital transformation of healthcare: Current status and the road ahead. Inform. Systems Res. 21(4):796-809.
2. Ai C, Norton EC (2003) Interaction terms in logit and probit models. Econom. Lett. 80(1):123-129.
3. Allison PD, Waterman RP (2002) Fixed-effects negative binomial regression models. Sociol. Methodol. 32(1):247-265.
4. American Psychological Association (2013) Socioeconomic status. Accessed August 8, 2013, http://www.apa.org/topics/ socioeconomic-status/.
5. Angrist JD, Pischke J-S (2008) Mostly Harmless Econometrics: An Empiricist's Companion (Princeton University Press, Princeton, NJ).
6. Bakos Y, Bailey J (1997) An exploratory study of the emerging role of electronic intermediaries. Internat. J. Electronic Commerce 1(3):7-20.
7. Bapna R, Ramaprasad J, Shmueli G, Umyarov A (2012) One-way mirrors in online dating: A randomized field experiment. Workshop Inform. Systems Econom., Orlando, FL.
8. Barry JJ (2013) Crossing the digital divide: Is access to the Internet an economic right? Working paper, University of Connecticut, Storrs. http://dx.doi.org/10.2139/ssrn.2315307.
9. Benotsch EG, Kalichman S, Cage M (2002) Men who have met sex partners via the Internet: Prevalence, predictors, and implications for HIV prevention. Arch. Sexual Behav. 31(2):177-183.
10. Bingham TA, Harawa NT, Johnson DF, Secura GM, MacKellar DA, Valleroy LA (2003) The effect of partner characteristics on HIV infection among African American men who have sex with men in the young men's survey, Los Angeles, 1999-2000. AIDS Ed. Prevention 15(1, Supplement):39-52.
11. Bozzette SA, Berry SH, Duan N, Frankel MR, Leibowitz AA, Lefkowitz D, Emmons C-A, Senterfitt JW, Berk ML, Morton SC (1998) The care of HIV-infected adults in the United States. New England J. Medicine 339(26):1897-1904.
12. Brodie M, Flournoy RE, Altman DE, Blendon RJ, Benson JM, Rosenbaum MD (2000) Health information, the Internet, and the digital divide. Health Affairs 19(6):255-265.
13. Brown P (1988) The Body and Society: Men, Women, and Sexual Renunciation in Early Christianity (Columbia University Press, New York).
14. Brynjolfsson E, Smith MD (2000) Frictionless commerce? A comparison of Iinternet and conventional retailers. Management Sci. 46(4):563-585.
15. Burke MA, Fournier GM, Prasad K (2003) Physician social networks and geographical variation in medical care. CSED Working Paper 33, Center on Social and Economic Dynamics, Brookings Institution, Washington, DC.
16. Burke MA, Fournier GM, Prasad K (2007) The diffusion of a medical innovation: Is success in the stars? Southern Econom. J. 73(3):588-603.
17. Campsmith ML, Rhodes P, Hall HI, Green T (2008) HIV prevalence estimates - United States, 2006. Morbidity Mortality Weekly Rep. 57(39):1073-1076.
18. CDC (2005) Health disparities experienced by black or African Americans - United States. Morbidity Mortality Weekly Rep. 54(1):1-3.
19. CDC (2008) Revised surveillance case definitions for HIV infection among adults, adolescents, and children aged <18 months and for HIV infection and AIDS among children aged 18 months to < 13 years - United States, 2008. Morbidity Mortality Weekly Rep. 57(RR-10):1-8.
20. CDC (2011) HIV surveillance - United States, 1981-2008. Morbidity Mortality Weekly Rep. 60(21):689-693.
21. CDC (2013) Deaths and mortality. Accessed February 20, 2015, http://www.cdc.gov/nchs/fastats/deaths.htm.
22. Chan J, Ghose A (2014) Internet's dirty secret: Assessing the impact of online intermediaries on the outbreak of sexually transmitted diseases. MIS Quart. 38(4):955-976.
23. Chesson HW, Blandford JM, Gift TL, Tao G, Irwin KL (2004) The estimated direct medical cost of sexually transmitted diseases among American youth, 2000. Perspect. Sexual Reproductive Health 36(1):11-19.
24. DiMaggio P, Hargittai E, Celeste C, Shafer S (2004) Digital inequality: From unequal access to differentiated use. Neckerman K, ed. Social Inequality (Russell Sage Foundation, New York), 355-400.
25. Dorland (2011) Dorland's Illustrated Medical Dictionary, 32nd ed. (Elsevier-Health Sciences Division, Philadelphia).
26. Dugas AF, Hsieh Y-H, Levin SR, Pines JM, Mareiniss DP, Mohareb A, Gaydos CA, Perl TM, Rothman RE (2012) Google Flu Trends: Correlation with emergency department influenza rates and crowding metrics. Clinical Infectious Diseases 54(4):463-469.
27. Edelman B, Luca M (2014) Digital discrimination: The case of Airbnb.com. HBS NOM Unit Working Paper 14-054, Harvard Business School, Boston.
28. Elford J, Bolding G, Sherr L (2001) Seeking sex on the Internet and sexual risk behaviour among gay men using London gyms. AIDS 15(11):1409-1415.
29. Fallows D (2005) How women and men use the Internet. Report, Pew Research Center, Washington, DC. http://www.pewinternet.org/2005/12/28/how-women-and-men-use-the-internet/.
30. Finzi D, Hermankova M, Pierson T, Carruth LM, Buck C, Chaisson RE, Quinn TC, et al. (1997) Identification of a reservoir for HIV-1 in patients on highly active antiretroviral therapy. Science 278(5341):1295-1300.
31. Floyd FJ, Stein TS (2002) Sexual orientation identity formation among gay, lesbian, and bisexual youths: Multiple patterns of milestone experiences. J. Res. Adolescence 12(2):167-191.
32. Fox S (2005) Digital divisions: There are clear divisions among those with broadband connections, dial-up connections, and no connections at all to the Internet. Pew Internet and American Life Project report, Pew Research Center, Washington, DC. http://www.pewinternet.org/files/old-media/Files/Reports/ 2005/PIP-Digital-Divisions-Oct-5-2005.pdf.pdf.
33. Fox S, Livingston G (2007) III. Latinos online. Report, Pew Research Center, Washington, DC. http://www.pewhispanic.org/2007/ 03/14/iii-latinos-online/.
34. Garofalo R, Herrick A, Mustanski BS, Donenberg GR (2007) Tip of the iceberg: Young men who have sex with men, the Internet, and HIV risk. Amer. J. Public Health 97(6):1113-1117.
35. Goh JM, Gao G, Agarwal R (2016) The creation of social value: Can an online health community reduce rural-urban health disparities? MIS Quart. 40(1):247-263.
36. Gonzalez-Barrera A, Lopez H (2013) Spanish is the most spoken non-English language in U.S. homes, even among non-Hispanics. Report, Pew Research Center, Washington, DC. http://www.pewresearch.org/fact-tank/2013/08/13/spanish-is-the-most-spoken-non-english-language-in-u-s-homes-even-among-non-hispanics/.
37. Greenwood BN, Agarwal R, Agarwal R, Gopal A (2013) A tale of three tensions: Changes in decision making after information shocks. Acad. Management Proc. 2013(Meeting abstract supplement): Article 16890.
38. Grov C (2010) Risky sex-and drug-seeking in a probability sample of men-for-men online bulletin board postings. AIDS Behav. 14(6):1387-1392.
39. Hargittai E (2010) Digital na(t)ives? variation in Internet skills and uses among members of the "net generation." Sociol. Inquiry 80(1):92-113.
40. Heinzl H, Waldhör T, Mittlböck M (2005) Careful use of pseudo R-squared measures in epidemiological studies. Statist. Medicine 24(18):2867-2872.
41. Heuertz L, Gordon A, Moore E, Gordon M (2002) Public Libraries and the Digital Divide: How Libraries Help (University of Washington, Seattle).
42. Hitsch GJ, Hortaçsu A, Ariely D (2010) Matching and sorting in online dating. Amer. Econom. Rev. 100(1):130-163.
43. Hoetker G (2007) The use of logit and probit models in strategic management research: Critical issues. Strategic Management J. 28(4):331-343.
44. Holley P (2015) When Craigslist comes to town, HIV infections go up, study says. Washington Post (February 2), http://www.washingtonpost.com/news/morning-mix/wp/2015/02/02/when-craigslist-comes-to-town-hiv-infections-go-up-study-says/.
45. Holmberg SD, Moorman AC, Greenberg AE, Committee DS (2004) Trends in rates of myocardial infarction among patients with HIV. New England J. Medicine 350(7):730-732.
46. Hsieh JJP-A, Rai A, Keil M (2011) Addressing digital inequality for the socioeconomically disadvantaged through government initiatives: Forms of capital that affect ICT utilization. Inform. Systems Res. 22(2):233-253.
47. Infoplease (2015) QuickFacts from the US Census Bureau: Florida. Accessed February 20, 2015, http://www.washington post.com/news/morning-mix/wp/2015/02/02/when-craigslist-comes-to-town-hiv-infections-go-up-study-says/.
48. Janssen RS, St. Louis ME, Satten GA, Critchley SE, Petersen LR, Stafford RS, Ward JW, et al. (1992) HIV infection among patients in U.S. acute care hospitals. New England J. Medicine 327(7):445-452.
49. Jones S (2009) Online classifieds: The number of online adults to use classified ads websites, such as Craigslist, more than doubled from 2005 to 2009. Pew Internet and American Life Project report, Pew Research Center, Washington, DC. http:// www.pewinternet.org/~/media//Files/Reports/2009/PIP%20-%20Online%20Classifieds.pdf.
50. Kim AA, Kent C, McFarland W, Klausner JD (2001) Cruising on the Internet highway. J. Acquired Immune Deficiency Syndromes 28(1):89-93.
51. King G, Zeng L (2001) Explaining rare events in international relations. Internat. Organ. 55(3):693-715.
52. Little SJ, Holte S, Routy J-P, Daar ES, Markowitz M, Collier AC, Koup RA, Mellors JW, Connick E, Conway B (2002) Antiretroviral-drug resistance among patients recently infected with HIV. New England J. Medicine 347(6):385-394.
53. MacDonald K (1995) The establishment and maintenance of socially imposed monogamy in Western Europe. Politics Life Sci. 14(1):3-23.
54. Malone T, Yates J, Benjamin R (1987) Electronic markets and electronic hierarchies. Comm. ACM 30(6):484-497.
55. Miguelino-Keasling V (2010) Poverty and HIV infection: 2006-2007 NHBS national and San Diego findings. Report, National HIV Behavioral Surveillance, Centers for Disease Control, Atlanta.
56. Moore E, Gordon AC, Gordon MT, Heuertz L (2002) It's working: People from low-income families disproportionately use library computers. Report to the Bill & Melinda Gates Foundation, Evans School of Public Affairs, University of Washington, Seattle.
57. National Center for Health Statistics (1998) International Classification of Diseases, Ninth Revision (ICD-9). Accessed October 28, 2015, http://www.cdc.gov/nchs/icd/icd9.htm. National Telecommunications and Information Administration/
58. Economics and Statistics Administration (NTIA/ESA) (2013) Exploring the digital nation: America's emerging online experience. Report, U.S. Department of Commerce, Washington, DC.
59. Office of Economic and Demographic Research (2007) Florida demographic overview. Report, Florida Legislature, Tallahassee.
60. Ottaviani G, Jaffe N (2010) The epidemiology of osteosarcoma. Jaffe N, Bruland ØS, Bielack SS, eds. Pediatric and Adolescent Osteosarcoma (Springer, New York), 3-13.
61. Padgett PM (2007) Personal safety and sexual safety for women using online personal ads. Sexuality Res. Soc. Policy 4(2):27-37.
62. Palella FJ Jr, Baker RK, Moorman AC, Chmiel JS, Wood KC, Brooks JT, Holmberg SD, HIV Outpatient Study Investigators (2006) Mortality in the highly active antiretroviral therapy era: Changing causes of death and disease in the HIV Outpatient Study. J. Acquired Immune Deficiency Syndromes 43(1):27-34.
63. Panel on Antiretroviral Guidelines for Adults and Adolescents (2006) Guidelines for the use of antiretroviral agents in HIV-1-infected adults and adolescents. Report, Department of Health and Human Services, Washington, DC. https://aidsinfo.nih.gov/contentfiles/lvguidelines/AdultAndAdolescentGL.pdf.
64. Pantaleo G, Graziosi C, Fauci AS (1993) The immunopathogenesis of human immunodeficiency virus infection. New England J. Medicine 328(5):327-335.
65. Parsons JT, Tesoriero JM, Carballo-Dieguez A, Hirshfield S, Remien RH (2006) HIV behavioral research online. J. Urban Health 83(1):73-85.
66. Passel JS, Cohn D (2011) Unauthorized immigrant population: National and state trends, 2010. Report, Pew Research Center, Washington, DC. http://www.pewhispanic.org/2011/02/01/ unauthorized-immigrant-population-brnational-and-state-trends-2010/.
67. Quenqua D (2009) Recklessly seeking sex on the Internet. New York Times (April 17), http://www.nytimes.com/2009/04/19/ fashion/19craigslist.html?-r=0.
68. Rogers MK (2010) The psyche of cybercriminals: A psycho-social perspective. Ghosh S, Turrini E, eds. Cybercrimes: A Multidisciplinary Analysis (Springer, Berlin), 217-235.
69. Rosenfeld MJ, Thomas RJ, Falcon M (2011) How Couples Meet and Stay Together, waves 1, 2, and 3: Public version 3.04. (Data set.) Stanford University Libraries, Stanford, CA.
70. Rosenfeld MJ, Thomas RJ, Falcon M (2014) How Couples Meet and Stay Together, waves 1, 2, and 3: Public version 3.04, plus wave 4 supplement version 1.02 and wave 5 supplement version 1.0. (Data set.) Stanford University Libraries, Stanford, CA.
71. Rosser BR, Oakes JM, Horvath K, Konstan J, Danilenko G, Peterson J (2009) HIV sexual risk behavior by men who use the Internet to seek sex with men: Results of the Men's INTernet Sex Study-II (MINTS-II). AIDS Behav. 13(3):488-498.
72. Schackman BR, Gebo KA, Walensky RP, Losina E, Muccio T, Sax PE, Weinstein MC, Seage GR III, Moore RD, Freedberg KA (2006) The lifetime cost of current HIV care in the United States. Medical Care 44(11):990-997.
73. Seamans R, Zhu F (2014) Responses to entry in multi-sided markets: The impact of Craigslist on local newspapers. Management Sci. 60(2):476-493.
74. Secretary's Advisory Committee on National Health Promotion and Disease Prevention Objectives for 2020 (2008) Recommendations for the framework and format of Healthy People 2020. Report, U.S. Department of Health and Human Services, Washington, DC.
75. Singer JD, Willett JB (1993) It's about time: Using discrete-time survival analysis to study duration and the timing of events. J. Ed. Behav. Statist. 18(2):155-195.
76. Warschauer M (2004) Technology and Social Inclusion: Rethinking the Digital Divide (MIT Press, Cambridge, MA).
77. Weiser EB (2000) Gender differences in Internet use patterns and Internet application preferences: A two-sample comparison. CyberPsych. Behav. 3(2):167-178.
78. Williamson OE (1981) The economics of organization: The transaction cost approach. Amer. J. Sociol. 87(3):548-577.
79. Zelner BA (2009) Using simulation to interpret results from logit, probit, and other nonlinear models. Strategic Management J. 30(12):1335-1348.
80. Zenilman JM, Ellish N, Fresia A, Glass G (1999) The geography of sexual partnerships in Baltimore: Applications of core theory dynamics using a geographic information system. Sexually Transmitted Diseases 26(2):75-81.
81. Zickuhr K, Smith A (2012) Digital differences. Pew Internet and American Life Project report, Pew Research Center, Washington, DC. http://www.pewinternet.org/files/old-media/Files/ Reports/2012/PIP-Digital-differences-041312.pdf.
82. Zillien N, Hargittai E (2009) Digital distinction: Status-specific types of Internet usage. Soc. Sci. Quart. 90(2):274-291.