The Impact of E-Visits on Visit Frequencies and Patient Health: Evidence from Primary Care

Published Online:https://doi.org/10.1287/mnsc.2017.2900

References

  • Abadie A, Drukker D, Herr JL, Imbens GW (2004) Implementing matching estimators for average treatment effects in stata. Stata J. 4(3):290–311.CrossrefGoogle Scholar
  • Abowd JM, Kramarz F, Margolis DN (1999) High wage workers and high wage firms. Econometrica 67(2):251–333.CrossrefGoogle Scholar
  • Adler-Milstein J, Huckman RS (2013) The impact of electronic health record use on physician productivity. Amer. J. Managed Care 19(11, spec no. 10):SP345–SP352.Google Scholar
  • Altschuler J, Margolius D, Bodenheimer T, Grumbach K (2012) Estimating a reasonable patient panel size for primary care physicians with team-based task delegation. Ann. Family Medicine 10(5):396–400.CrossrefGoogle Scholar
  • Angst CM, Devaraj S, Queenan CC, Greenwood B (2011) Performance effects related to the sequence of integration of healthcare technologies. Production Oper. Management 20(3):319–333.CrossrefGoogle Scholar
  • Baer D (2011) Patient-physician e-mail communication: The Kaiser Permanente experience. J. Oncology Practice 7(4):230–233.CrossrefGoogle Scholar
  • Balasubramanian H, Muriel A, Wang L (2012) The impact of provider flexibility and capacity allocation on the performance of primary care practices. Flexible Services Manufacturing J. 24(4):422–447.CrossrefGoogle Scholar
  • Batt RJ, Terwiesch C (2017) Early task initiation and other load-adaptive mechanisms in the emergency department. Management Sci. 63(11):3531–3551.LinkGoogle Scholar
  • Bavafa H, Savin S, Terwiesch C (2017) Redesigning primary care delivery: Customized office revisit intervals and e-visits. Working paper, University of Wisconsin–Madison, Madison.Google Scholar
  • Bergmo TS, Kummervold PE, Gammon D, Dahl LB (2005) Electronic patient–provider communication: Will it offset office visits and telephone consultations in primary care? Internat. J. Medical Informatics 74(9):705–710.CrossrefGoogle Scholar
  • Berry Jaeker JA, Tucker AL (2017) Past the point of speeding up: The negative effects of workload saturation on efficiency and patient severity. Management Sci. 63(4):1042–1062.LinkGoogle Scholar
  • Buell RW, Campbell D, Frei F (2010) Are self-service customers satisfied or stuck? Production Oper. Management 19(6):679–697.CrossrefGoogle Scholar
  • Campbell D, Frei F (2010) Cost structure, customer profitability, and retention implications of self-service distribution channels: Evidence from customer behavior in an online banking channel. Management Sci. 56(1):4–24.LinkGoogle Scholar
  • Centers for Disease Control and Prevention (CDC) (2011) Vital signs: Prevalence, treatment, and control of hypertension–United States, 1999–2002 and 2005–2008. Morbidity and Mortality Weekly Report 60(4):103–108.Google Scholar
  • Centers for Disease Control and Prevention (CDC) (2014) National Diabetes Statistics Report: Estimates of diabetes and its burden in the United States. Report, U.S. Department of Health and Human Services, Washington, DC.Google Scholar
  • Chandra A, Cutler D, Song Z (2011) Who ordered that? The economics of treatment choices in medical care. Pauly MV, Mcguire TG, and Barros P, eds. Handbook of Health Economics (Elsevier, Amsterdam), 397–432.CrossrefGoogle Scholar
  • Cox DF (1967) Risk Taking and Information Handling in Consumer Behavior (Harvard University Press, Cambridge, MA).Google Scholar
  • Degeratu AM, Rangaswamy A, Wu J (2000) Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. Internat. J. Res. Marketing 17(1):55–78.CrossrefGoogle Scholar
  • Deo S, Iravani S, Jiang T, Smilowitz K, Samuelson S (2013) Improving health outcomes through better capacity allocation in a community-based chronic care model. Oper. Res. 61(6):1277–1294.LinkGoogle Scholar
  • Devaraj S, Ow TT, Kohli R (2013) Examining the impact of information technology and patient flow on healthcare performance: A theory of swift and even flow (tsef) perspective. J. Oper. Management 31(4):181–192.CrossrefGoogle Scholar
  • Dobson G, Pinker E, Van Horn RL (2009) Division of labor in medical office practices. Manufacturing and Service Oper. Management 11(3):525–537.LinkGoogle Scholar
  • Frei FX, Harker PT (2000) Value creation and process management: Evidence from retail banking. Melnick EL, Nayyar PR, Pinedo ML, Seshadri S, eds. Creating Value in Financial Services: Strategies, Operations, and Technologies (Springer, New York),447–460.CrossrefGoogle Scholar
  • Friedberg MW, Hussey PS, Schneider EC (2010) Primary care: A critical review of the evidence on quality and costs of health care. Health Affairs 29(5):766–772.CrossrefGoogle Scholar
  • Gosden T, Forland F, Kristiansen I, Sutton M, Leese B, Giuffrida A, Sergison M, Pedersen L (2000) Capitation, salary, fee-for-service and mixed systems of payment: Effects on the behaviour of primary care physicians. Cochrane Database Syst. Rev. (3):DOI: 10.1002/14651858.CD002215.Google Scholar
  • Green LV, Savin S (2008) Reducing delays for medical appointments: A queueing approach. Oper. Res. 56(6):1526–1538.LinkGoogle Scholar
  • Green LV, Savin S, Lu Y (2013) Primary care physician shortages could be eliminated through use of teams, nonphysicians, and electronic communication. Health Affairs 32(1):11–19.CrossrefGoogle Scholar
  • Green LV, Savin S, Murray M (2007) Providing timely access to care: What is the right patient panel size? Joint Commission J. Quality and Patient Safety 33(4):211–218.CrossrefGoogle Scholar
  • Greene W (2004) The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects. Econometrics J. 7(1):98–119.CrossrefGoogle Scholar
  • Hitt LM, Frei F (2002) Do better customers utilize electronic distribution channels? The case of pc banking. Management Sci. 48(6):732–748.LinkGoogle Scholar
  • Irizarry T, Dabbs AD, Curran CR (2015) Patient portals and patient engagement: A state of the science review. J. Medical Internet Res. 17(6):e148.CrossrefGoogle Scholar
  • Katz SJ, Moyer CA, Stern DT (2003) Effect of a triage-based e-mail system on clinic resource use and patient and physician satisfaction in primary care. J. General Internal Medicine 18(9):736–744.CrossrefGoogle Scholar
  • Katz SJ, Nissan N, Moyer CA (2004) Crossing the digital divide: Evaluating online communication between patients and their providers. Amer. J. Managed Care 10(9):593–598.Google Scholar
  • Kc DS, Terwiesch C (2009) Impact of workload on service time and patient safety: An econometric analysis of hospital operations. Management Sci. 55(9):1486–1498.LinkGoogle Scholar
  • Khullar D (2016) Giving new doctors the tools they need. New York Times (May 12), http://nyti.ms/1Xfwwhn.Google Scholar
  • Kilo CM (2005) Transforming care: Medical practice design and information technology. Health Affairs 24(5):1296–1301.CrossrefGoogle Scholar
  • KLAS Research (2012) Patient portals 2012: The path of least resistance. November 2012, https://klasresearch.com/report/patient-portals-2012/757.Google Scholar
  • Kleibergen F, Paap R (2006) Generalized reduced rank tests using the singular value decomposition. J. Econometrics 133(1):97–126.CrossrefGoogle Scholar
  • Kumar A, Telang R (2012) Does the web reduce customer service cost? Empirical evidence from a call center. Inform. Systems Res. 23(3-part-1):721–737.LinkGoogle Scholar
  • Leckie GJ, Pettigrew KE, Sylvain C (1996) Modeling the information seeking of professionals: A general model derived from research on engineers, health care professionals, and lawyers. Library Quart. 66(2):161–193.CrossrefGoogle Scholar
  • Lee DKK, Chertow GM, Zenios SA (2010) Reexploring differences among for-profit and nonprofit dialysis providers. Health Services Res. 45(3):633–646.CrossrefGoogle Scholar
  • Leveille SG, Mejilla R, Ngo L, Fossa A, Elmore JG, Darer J, Ralston JD, Delbanco T, Walker J (2016) Do patients who access clinical information on patient internet portals have more primary care visits? Medical Care 54(1):17–23.CrossrefGoogle Scholar
  • Liu N, Ziya S (2014) Panel size and overbooking decisions for appointment-based services under patient no-shows. Production Oper. Management 23(12):2209–2223.CrossrefGoogle Scholar
  • Miller H (1972) Environmental complexity and financial reports. Accounting Rev. 47(1):31–37.Google Scholar
  • Murray KB (1991) A test of services marketing theory: Consumer information acquisition activities. J. Marketing 55(1):10–25.CrossrefGoogle Scholar
  • North F, Crane SJ, Chaudhry R, Ebbert JO, Ytterberg K, Tulledge-Scheitel SM, Stroebel RJ (2014) Impact of patient portal secure messages and electronic visits on adult primary care office visits. Telemedicine and E-Health 20(3):192–198.CrossrefGoogle Scholar
  • Overby E, Jap S (2009) Electronic and physical market channels: A multiyear investigation in a market for products of uncertain quality. Management Sci. 55(6):940–957.LinkGoogle Scholar
  • Petterson SM, Liaw WR, Phillips RL, Rabin DL, Meyers DS, Bazemore AW (2012) Projecting US primary care physician workforce needs: 2010–2025. Ann. Family Medicine 10(6):503–509.CrossrefGoogle Scholar
  • Shaw MK, Davis SA, Fleischer AB, Feldman SR (2014) The duration of office visits in the United States, 1993 to 2010. Amer. J. Managed Care 20(10):820–826.Google Scholar
  • Shumsky RA, Pinker EJ (2003) Gatekeepers and referrals in services. Management Sci. 49(7):839–856.LinkGoogle Scholar
  • Song H, Tucker AL, Murrell KL (2015) The diseconomies of queue pooling: An empirical investigation of emergency department length of stay. Management Sci. 61(12):3032–3053.LinkGoogle Scholar
  • Stock JH, Yogo M (2005) Testing for weak instruments in linear IV regression. Andrews DWK, ed. Identification and Inference for Econometric Models (Cambridge University Press, New York),80–108.CrossrefGoogle Scholar
  • Tan TF, Netessine S (2014) When does the devil make work? An empirical study of the impact of workload on worker productivity. Management Sci. 60(6):1574–1593.LinkGoogle Scholar
  • Wagner PJ, Curran P (1984) Health beliefs and physician identified “worried well.” Health Psych. 3(5):459.CrossrefGoogle Scholar
  • Weinberger M, Oddone EZ, Henderson WG (1996) Does increased access to primary care reduce hospital readmissions? New England J. Medicine 334(22):1441–1447.CrossrefGoogle Scholar
  • Xue M, Hitt LM, Harker PT (2007) Customer efficiency, channel usage, and firm performance in retail banking. Manufacturing and Service Oper. Management 9(4):535–558.LinkGoogle Scholar
  • Zacharias C, Pinedo M (2014) Appointment scheduling with no-shows and overbooking. Production Oper. Management 23(5):788–801.CrossrefGoogle Scholar
  • Zhou YY, Kanter MH, Wang JJ, Garrido T (2010) Improved quality at Kaiser Permanente through e-mail between physicians and patients. Health Affairs 29(7):1370–1375.CrossrefGoogle Scholar
  • Zhou YY, Garrido T, Chin HL, Wiesenthal AM, Liang LL (2007) Patient access to an electronic health record with secure messaging: Impact on primary care utilization. Amer. J. Managed Care 13(7):418–424.Google Scholar
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