Delivering Healthcare Through Teleconsultations: Implications for Offline Healthcare Disparity

References

• Bavafa H, Hitt LM, Terwiesch C (2018) The impact of e-visits on visit frequencies and patient health: Evidence from primary care. Management Sci. 64(12):5461–5480.Link, Google Scholar
• Buck IH, Almis H (2017) Does abnormal laboratory results notification with the short message service shorten length of stay in the pediatric emergency department observation unit? Telemedicine e-Health 23(7):539–543.Crossref, Google Scholar
• Burtch G, Chan J (2019) Investigating the relationship between medical crowdfunding and personal bankruptcy in the United States. MIS Quart. 43(1):237–262.Crossref, Google Scholar
• Cairncross F (2001) The Death of Distance: How the Communications Revolution Is Changing Our Lives (Harvard Business Press, Boston).Google Scholar
• Centers for Disease Control and Prevention (2020) About rural health. Retrieved December 28, 2021, https://www.cdc.gov/ruralhealth/about.html.Google Scholar
• Chan J, Ghose A (2014) Internet’s dirty secret: Assessing the impact of online intermediaries on HIV transmission. MIS Quart. 38(4):955–976.Crossref, Google Scholar
• Chan J, Ghose A, Seamans R (2016) The internet and racial hate crime: Offline spillovers from online access. MIS Quart. 40(2):381–403.Crossref, Google Scholar
• Chan J, Mojumder P, Ghose A (2019) The digital sin city: An empirical study of Craigslist’s impact on prostitution trends. Inform. Systems Res. 30(1):219–238.Link, Google Scholar
• Cheng ZA, Pang M-S, Pavlou PA (2020) Mitigating traffic congestion: The role of intelligent transportation systems. Inform. Systems Res. 31(3):653–674.Link, Google Scholar
• China Daily (2014) Beijing hospitals overwhelmed by outsider patients. (May 19), http://www.chinadaily.com.cn/china/2014-05/19/content_17518763.htm.Google Scholar
• Correa T, Pavez I (2016) Digital inclusion in rural areas: A qualitative exploration of challenges faced by people from isolated communities: Digital inclusion in rural areas. J. Comput. Mediated Comm. 21(3):247–263.Crossref, Google Scholar
• Dang S, Karanam C, Gomes-Marin O (2017) Outcomes of a mobile phone intervention for heart failure in a minority county hospital population. Telemedicine J. e-Health 23(6):473–484.Crossref, Google Scholar
• Dávalos ME, French MT, Burdick AE, Simmons SC (2009) Economic evaluation of telemedicine: Review of the literature and research guidelines for benefit–cost analysis. Telemedicine J. e-Health 15(10):933–948.Crossref, Google Scholar
• deShazo RD, Parker SB (2017) Lessons learned from Mississippi’s telehealth approach to health disparities. Amer. J. Medicine 130(4):403–408.Crossref, Google Scholar
• Dollar D (2007) Poverty, inequality, and social disparities during China’s economic reform. Policy Research Working Paper No. 4253, World Bank, Washington, DC. © World Bank, https://openknowledge.worldbank.org/handle/10986/7404 License: CC BY 3.0 IGO.Crossref, Google Scholar
• Dorsey ER, Venkataraman V, Grana MJ, Bull MT, George BP, Boyd CM, Beck CA, Rajan B, Seidmann A, Biglan KM (2013) Randomized controlled clinical trial of “virtual house calls” for Parkinson disease. JAMA Neurol. 70(5):565–570.Crossref, Google Scholar
• Duxbury SW (2021) Diagnosing multicollinearity in exponential random graph models. Sociol. Methods Res. 50(2):491–530.Crossref, Google Scholar
• Elion JL, Petrocelli RR (1994) A high-speed network for cardiac image review. Proc. Annual Sympos. Comput. Appl. Medical Care 1994:428–432.Google Scholar
• Exworthy M, Peckham S (2006) Access, choice and travel: Implications for health policy. Soc. Policy Admin. 40(3):267–287.Crossref, Google Scholar
• Festinger L, Schachter S, Back K (1950) Social Processes in Informal Groups (Stanford University Press, Stanford, CA).Google Scholar
• Fotaki M, Roland M, Boyd A, Mcdonald R, Scheaff R, Smith L(2008) What benefits will choice bring to patients? Literature review and assessment of implications. J. Health Service Res. Policy 13(3):178–184.Crossref, Google Scholar
• Friedman T (2007) The World Is Flat 3.0: A Brief History of the Twenty-First Century (Picador/Farrar, Straus and Giroux, New York).Google Scholar
• Goh JM, Gao GG, Agarwal R (2016) The creation of social value: Can an online health community reduce rural–urban health disparities? MIS Quart. 40(1):247–263.Crossref, Google Scholar
• Goins RT, Williams KA, Carter MW, Spencer SM, Solovieva T(2005) Perceived barriers to healthcare access among rural older adults: A qualitative study. J. Rural Health 21(3):206–213.Crossref, Google Scholar
• Grand View Research (2021) Telemedicine market size worth $298.9 billion by 2028. Retrieved December 28, 2021, https://www.grandviewresearch.com/press-release/global-telemedicine-industry.Google Scholar
• Greenwood BN, Wattal S (2017) Show me the way to go home: An empirical investigation of ride-sharing and alcohol related motor vehicle fatalities. MIS Quart. 41(1):163–187.Crossref, Google Scholar
• Hampton KN, Wellman B (2000) Examining community in the digital neighborhood: Early results from Canada’s wired suburb. Ishida T, Isbister K, eds. Digital Cities: Technologies, Experiences, and Future Perspectives (Springer-Verlag, Heidelberg, Germany), 194–208.Crossref, Google Scholar
• Haynes R, Lovett A, Sünnenberg G (2003) Potential accessibility, travel time, and consumer choice: Geographical variations in general medical practice registrations in Eastern England. Environ. Planning A 35(10):1733–1750.Crossref, Google Scholar
• Helitzer D, Heath D, Maltrud K, Sullivan E, Alverson D (2003) Assessing or predicting adoption of telehealth using the diffusion of innovations theory: A practical example from a rural program in New Mexico. Telemedicine J. e-Health 9(2):179–187.Crossref, Google Scholar
• Hostetler S (1994) Lower end technology may eventually dominate. Telemedicine 1(November):17–18.Google Scholar
• Hu PJ, Chau PY, Sheng ORL, Tam KY (1999) Examining the technology acceptance model using physician acceptance of telemedicine technology. J. Management Inform. Systems 16(2):91–112.Crossref, Google Scholar
• Hung P, Henning-Smith CE, Casey MM, Kozhimannil KB (2017) Access to obstetric services in rural counties still declining, with 9 percent losing services, 2004–14. Health Affairs 36(9):1663–1671.Crossref, Google Scholar
• Jain-Chandra S, Khor N, Mano R, Schauer J, Wingender P, Zhuang J (2018) Inequality in China—Trends, drivers and policy remedies. IMF Working Paper 18/127, A001, International Monetary Fund, Washington, DC. Accessed December 23, 2021, https://doi.org/10.5089/9781484357538.001.A001.Crossref, Google Scholar
• Jang-Jaccard J, Nepal S, Alem L, Li J (2014) Barriers for delivering telehealth in rural Australia: A review based on Australian trials and studies. Telemedicine J. e-Health 20(5):496–504.Crossref, Google Scholar
• Kim JY, Howard M, Pahnke EC, Boeker W (2016) Understanding network formation in strategy research: Exponential random graph models. Strategic Management J. 37(1):22–44.Google Scholar
• Kolstad JT, Chernew ME (2009) Quality and consumer decision making in the market for health insurance and healthcare services. Medical Care Res. Rev. 66(1, Supplement):28S–52S.Crossref, Google Scholar
• Knudson A, Meit M, Tanenbaum E, Brady J, Gilbert T, Klug MG, Arsen EL, Popat S, Schroeder S (2016) Exploring rural and urban mortality differences. Report, Rural Health Reform Policy Research Center, Grand Forks, ND.Google Scholar
• Krauss RM, Fussell S (1990) Mutual knowledge and communicative effectiveness. Galegher J, Kraut RE, Egido C, eds. Intellectual Teamwork: Social and Technological Foundations of Cooperative Work (Lawrence Erlbaum Associates, Hillsdale, NJ), 111–145.Google Scholar
• Kraut R, Mukhopadhyay T, Szczypula J, Kiesler S, Scherlis B (1999) Information and communication: Alternative uses of the Internet in households. Inform. Systems Res. 10(4):287–303.Link, Google Scholar
• Krivitsky PN (2012) Exponential-family random graph models for valued networks. Electronic J. Statist. 6:1100–1128.Crossref, Google Scholar
• Krivitsky PN, Handcock MS (2014) A separable model for dynamic networks. J. Roy. Statist. Soc. Ser. B. Statist. Methodol. 76(1):29–46.Crossref, Google Scholar
• Krivitsky PN, Butts CT, Statnet Develoment Team (2013) Modeling valued networks with statnet. Retrieved December 28, 2021, http://statnet.org/Workshops/valued.html#.Google Scholar
• Kruse C, Karem P, Shifflett K, Vegi L, Ravi K, Brooks M (2018) Evaluating barriers to adopting telemedicine worldwide: A systematic review. J. Telemedicine Telecare 24(1):4–12.Crossref, Google Scholar
• LeRouge C, Garfield M (2013) Crossing the telemedicine chasm: Have the U.S. barriers to widespread adoption of telemedicine been significantly reduced? Internat. J. Environ. Res. Public Health 10(12):6472–6484.Crossref, Google Scholar
• Levine M, Richardson J, Granieri E, Reid M (2014) Novel telemedicine technologies in geriatric chronic non-cancer pain: Primary care providers’ perspectives. Pain Medicine 15(2):206–213.Crossref, Google Scholar
• Liu Y, Xu X, Xiao Z (2015) Cross-dialect labor migration with an inverted U-shaped pattern. Econom. Res. J. 50(10):134–162.Google Scholar
• Lusher D, Robins G (2013) Formation of social network structure. Lusher D, Koskinen J, Robins G, eds. Exponential Random Graph Models for Social Networks: Theory, Methods, and Applications (Cambridge University Press, Cambridge, UK), 16–28.Google Scholar
• Lycett K, Wittert G, Gunn J, Hutton C, Clifford SA, Wake M (2014) The challenges of real-world implementation of web-based shared care software: The HopSCOTCH shared-care obesity trial in children. BMC Medical Informatics Decision Making 14(1):1–8.Crossref, Google Scholar
• Marcin JP, Shaikh U, Steinhorn RH (2016) Addressing health disparities in rural communities using telehealth. Pediatric Res. 79(1–2):169–176.Crossref, Google Scholar
• McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: Homophily in social networks. Annual Rev. Sociol. 27:415–444.Crossref, Google Scholar
• Meit M, Knudson A, Gilbert T, Yu AT-C, Tanenbaum E, Ormson E, TenBroeck S, Bayne A, Popat S, NORC Walsh Center for Rural Health Analysis (2014) The 2014 update of the rural-urban chartbook. Report, Rural Health Reform Policy Research Center, Grand Forks, ND.Google Scholar
• Mosadeghrad A (2014) Patient choice of a hospital: Implications for health policy and management. Internat. J. Health Care Qual. Assurance 27(2):152–164.Crossref, Google Scholar
• Pang MS, Pavlou P (2019) On information technology and the safety of police officers. Decision Support Systems 127:113–143.Crossref, Google Scholar
• Patterson C (2005) Introduction to the practice of telemedicine. J. Telemedicine Telecare 11(1):3–9.Crossref, Google Scholar
• Perednia DA, Allen A (1995) Telemedicine technology and clinical applications. J. Amer. Medical Assoc. 273(6):483–488.Crossref, Google Scholar
• Periyakoil V (2010) Healthcare disparities & barriers to healthcare. Report, Stanford Medicine, eCampus Rural Health, Stanford, CA.Google Scholar
• Piccoli G, Ives B (2003) Trust and the unintended effects of behavior control in virtual teams. MIS Quart. 27(3):365–395.Crossref, Google Scholar
• Polisena J, Coyle D, Coyle K, McGill S (2009) Home telehealth for chronic disease management: A systematic review and an analysis of economic evaluations. Internat. J. Tech. Assessment Health Care 25(3):339–349.Crossref, Google Scholar
• Rajan B, Tezcan T, Seidmann A (2019) Service systems with heterogeneous customers: Investigating the effect of telemedicine on chronic care. Management Sci. 65(3):1236–1267.Link, Google Scholar
• Reuters (2016) Inside the booming black market for doctor’s appointments in China. Newsweek (April 11), https://www.newsweek.com/china-hospitals-scalping-tickets-medical-care-death-dying-disease-beijing-446612.Google Scholar
• Reuters (2018) Global telemedicine market size, share, major players, strong application, top region, industry investment analysis and 2022 forecast research study.Google Scholar
• Robins G, Pattison P, Kalish Y, Lusher D (2007) An introduction to exponential random graph (p*) models for social networks. Soc. Networks 29(2):173–191.Crossref, Google Scholar
• Rural Health Information Hub (2020) Selected rural statistics for the United States. Retrieved (December 28, 2021), https://www.ruralhealthinfo.org/states/united-states.Google Scholar
• Schnatz PF, Murphy JL, O’Sullivan DM, Sorosky JI (2007) Patient choice: Comparing criteria for selecting an obstetrician-gynecologist based on image, gender, and professional attributes. Amer. J. Obstetrics Gynecol. 197(5):548.e1–548.e7.Crossref, Google Scholar
• Schneider EC, Epstein AM (1998) Use of public performance reports: A survey of patients undergoing cardiac surgery. J. Amer. Medical Assoc. 279(20):1638–1642.Crossref, Google Scholar
• Sinaiko AD (2011) How do quality information and cost affect patient choice of provider in a tiered network setting? Results from a survey. Health Service Res. 46(2):437–456.Crossref, Google Scholar
• Sina News (2017) New classification list of Chinese cities. Accessed December 23, 2017, http://k.sina.com.cn/article_6384560045_17c8ca7ad001003h0t.html.Google Scholar
• Siwicki B (2021) USDA invests $42M in telehealth infrastructure. Healthcare IT News. Retrieved December 28, 2021, https://www.healthcareitnews.com/news/usda-invests-42m-telehealth-infrastructure.Google Scholar
• Snijders TA, Pattison PE, Robins GL, Handcock MS (2006) New specifications for exponential random graph models. Sociol. Methodol. 36(1):99–153.Crossref, Google Scholar
• Stroetmann KA, Artmann J, Stroetmann V (2011) Developing national eHealth infrastructures—Results and lessons from Europe. AMIA Annual Sympos. Proc. 2011(2011):1347–1354.Google Scholar
• Sullivan T (2016) Big data analytics, telemedicine, wearables rank high among $1.4B worth of health IT investments in 2016. Healthcare IT News (April 13), https://www.healthcareitnews.com/news/big-data-analytics-telemedicine-wearables-rank-high-among-14b-worth-health-it-investments-2016.Google Scholar
• Sun S, Lu SF, Rui H (2020) Does telemedicine reduce emergency room congestion? Evidence from New York State. Inform. Systems Res. 31(3):972–986.Link, Google Scholar
• Tash D (2016) How long will you live? Your zip code tells all. Citizens J. (April 21), https://www.citizensjournal.us/how-long-will-you-live-your-zip-code-tells-all/.Google Scholar
• Thomas EJ, Lucke JF, Wueste L, Weavind L, Patel B (2009) Association of telemedicine for remote monitoring of intensive care patients with mortality, complications, and length of stay. J. Amer. Medical Assoc. 302(24):2671–2678.Crossref, Google Scholar
• United Nations (2012) The global partnership for development: Making rhetoric a reality. MDG Gap Task Force report, United Nations, New York.Google Scholar
• U.S. Department of Health and Human Services (2013) CDC health disparities and inequalities report—United States, 2013. Morbidity Mortality Weekly Rep. 62(3, Suppl):1–186.Google Scholar
• Victoor A, Delnoij DM, Friele RD, Rademakers JJ (2012) Determinants of patient choice of healthcare providers: A scoping review. BMC Health Service Res. 12(1):1–16.Crossref, Google Scholar
• Wang L, Yan LL, Zhou T, Guo X, Heim GR (2020) Understanding physicians’ online-offline behavior dynamics: An empirical study. Inform. Systems Res. 31(2):537–555.Link, Google Scholar
• Warshaw R (2017) Health disparities affect millions in rural U.S. communities. AAMC News (October 31), https://www.aamc.org/news-insights/health-disparities-affect-millions-rural-us-communities.Google Scholar
• Watson RT, DeSanctis G, Poole MS (1988) Using a GDSS to facilitate group consensus: Some intended and unintended consequences. MIS Quart. 12(3):463–478.Crossref, Google Scholar
• Weinstein RS, Lopez AM, Joseph BA, Erps KA, Holcomb M, Barker GP, Krupinski EA (2014) Telemedicine, telehealth, and mobile health applications that work: Opportunities and barriers. Amer. J. Medicine 127(3):183–187.Crossref, Google Scholar
• WHO Global Observatory for eHealth (2010) Telemedicine: Opportunities and developments in member states: Report on the second global survey on eHealth. Report, World Health Organization, Geneva. https://apps.who.int/iris/bitstream/handle/10665/44497/9789241564144_eng.pdf.Google Scholar
• World Health Organization (WHO) (2011) World health statistics 2011. Report, World Health Organization, Geneva.Google Scholar
• World Health Organization (WHO) (2013) The world health report 2013: Research for universal health coverage. Report, WHO, Geneva.Crossref, Google Scholar
• World Health Organization (WHO) (2017) 10 facts on health inequities and their causes. Accessed February 22, 2018, https://www.who.int/features/factfiles/health_inequities/en/.Google Scholar
• Yuan XP, Chen JY (2014) China’s Regional Culture Overview [in Chinese](Zhonghua Shuju Press, Beijing).Google Scholar
• Zammuto RF, Griffith TL, Majchrzak A, Dougherty DJ, Faraj S(2007) Information technology and the changing fabric of organization. Organ. Sci. 18(5):749–762.Link, Google Scholar