Nudging Patient Choice: Reducing No-Shows Using Waits Framing Messaging

Published Online:https://doi.org/10.1287/opre.2023.2444

References

  • Akşin Z, Ata B, Emadi SM, Su C-L (2013) Structural estimation of callers’ delay sensitivity in call centers. Management Sci. 59(12):2727–2746.LinkGoogle Scholar
  • Akşin Z, Ata B, Emadi SM, Su C-L (2017) Impact of delay announcements in call centers: An empirical approach. Oper. Res. 65(1):242–265.LinkGoogle Scholar
  • Allcott H, Rogers T (2014) The short-run and long-run effects of behavioral interventions: Experimental evidence from energy conservation. Amer. Econom. Rev. 104(10):3003–3037.CrossrefGoogle Scholar
  • Allon G, Bassamboo A, Gurvich I (2011) We will be right with you: Managing customer expectations with vague promises and cheap talk. Oper. Res. 59(6):1382–1394.LinkGoogle Scholar
  • Allon G, Kremer M, Donohue K, Katok E, Leider S (2018) Behavioral foundations of queueing systems. Donohue K, Katok E, Leider S, eds. The Handbook of Behavioral Operations, vol. 9325 (John Wiley & Sons, Inc., New York), 325–366.CrossrefGoogle Scholar
  • Andrews DWK (1993) Tests for parameter instability and structural change with unknown change point. Econometrica 61(4):821–856.CrossrefGoogle Scholar
  • Armony M, Shimkin N, Whitt W (2009) The impact of delay announcements in many-server queues with abandonment. Oper. Res. 57(1):66–81.LinkGoogle Scholar
  • Baron RM, Kenny DA (1986) The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Personality Soc. Psych. 51(6):1173–1182.CrossrefGoogle Scholar
  • Basu K (1997) Why are so many goods priced to end in nine? And why this practice hurts the producers. Econom. Lett. 54(1):41–44.CrossrefGoogle Scholar
  • Basu K (2006) Consumer cognition and pricing in the nines in oligopolistic markets. J. Econom. Management Strategy 15(1):125–141.CrossrefGoogle Scholar
  • Batt RJ, Terwiesch C (2015) Waiting patiently: An empirical study of queue abandonment in an emergency department. Management Sci. 61(1):39–59.LinkGoogle Scholar
  • Bavafa H, Savin S, Terwiesch C (2019) Managing patient panels with non-physician providers. Production Oper. Management 28(6):1577–1593.CrossrefGoogle Scholar
  • Berry Jaeker JA, Tucker AL (2020) The value of process friction: The role of justification in reducing medical costs. J. Oper. Manage. 66(1–2):12–34.CrossrefGoogle Scholar
  • Buell RW (2021) Last-place aversion in queues. Management Sci. 67(3):1430–1452.LinkGoogle Scholar
  • Buell RW, Norton MI (2011) The labor illusion: How operational transparency increases perceived value. Management Sci. 57(9):1564–1579.LinkGoogle Scholar
  • Cadena X, Schoar A (2011) Remembering to pay? Reminders vs. financial incentives for loan payments. Technical report, National Bureau of Economic Research, Cambridge, MA.Google Scholar
  • Campbell JD, Ronald A Chez TQ, Barcelo A, Patron E (2000) The no-show rate in a high-risk obstetric clinic. J. Women’s Health Gender Based Medicine 9(8):891–895.CrossrefGoogle Scholar
  • Carmon Z, Kahneman D (1996) The experienced utility of queuing: Experience profiles and retrospective evaluations of simulated queues. Dissertation, Fuqua School, Duke University, Durham, NC.Google Scholar
  • Dietvorst BJ, Simmons JP, Massey C (2018) Overcoming algorithm aversion: People will use imperfect algorithms if they can (even slightly) modify them. Management Sci. 64(3):1155–1170.LinkGoogle Scholar
  • Dixon S, Sampson FC, O’Cathain A, Pickin M (2005) Advanced access: More than just GP waiting times? Family Practice 23(2):233–239.CrossrefGoogle Scholar
  • Dong J, Yom-Tov E, Yom-Tov GB (2019) The impact of delay announcements on hospital network coordination and waiting times. Management Sci. 65(5):1969–1994.AbstractGoogle Scholar
  • Evans WN, Lieber EMJ, Power P (2019) How the reformulation of oxycontin ignited the heroin epidemic. Rev. Econom. Statist. 101(1):1–15.CrossrefGoogle Scholar
  • Fishbane A, Ouss A, Shah AK (2020) Behavioral nudges reduce failure to appear for court. Science 370(6517):eabb6591.CrossrefGoogle Scholar
  • Fogarty AW, Sturrock N, Premji K, Prinsloo P (2013) Hospital clinicians’ responsiveness to assay cost feedback: A prospective blinded controlled intervention study. JAMA Internal Medicine 173(17):1654–1655.CrossrefGoogle Scholar
  • Gilovich T, Griffin D, Kahneman D (2002) Heuristics and Biases: The Psychology of Intuitive Judgment (Cambridge University Press, Cambridge, UK).CrossrefGoogle 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, Murray M (2007) Providing timely access to care: What is the right patient panel size? Joint Commission J. Quality Patient Safety 33(4):211–218.CrossrefGoogle Scholar
  • Greenstone M, Hanna R (2014) Environmental regulations, air and water pollution, and infant mortality in India. Amer. Econom. Rev. 104(10):3038–3072.CrossrefGoogle Scholar
  • Guy R, Hocking J, Wand H, Stott S, Ali H, Kaldor J (2012) How effective are short message service reminders at increasing clinic attendance? A meta-analysis and systematic review. Health Services Res. 47(2):614–632.CrossrefGoogle Scholar
  • Hansen BE (2001) The new econometrics of structural change: Dating breaks in US labour productivity. J. Econom. Perspect. 15(4):117–128.CrossrefGoogle Scholar
  • Hasvold PE, Wootton R (2011) Use of telephone and SMS reminders to improve attendance at hospital appointments: A systematic review. J. Telemedicine Telecare 17(7):358–364.CrossrefGoogle Scholar
  • Johnson EJ, Goldstein D (2003) Do defaults save lives? Science 302:1338–1339.CrossrefGoogle Scholar
  • Jouini O, Akşin Z, Dallery Y (2011) Call centers with delay information: Models and insights. Manufacturing Service Oper. Management 13(4):534–548.LinkGoogle Scholar
  • Kahneman D (2003) Maps of bounded rationality: Psychology for behavioral economics. Amer. Econom. Rev. 93(5):1449–1475.CrossrefGoogle Scholar
  • Karlan D, McConnell M, Mullainathan S, Zinman J (2016) Getting to the top of mind: How reminders increase saving. Management Sci. 62(12):3393–3411.LinkGoogle Scholar
  • KC D (2020) Heuristic thinking in patient care. Management Sci. 66(6):2545–2563.LinkGoogle Scholar
  • Keller PA, Harlam B, Loewenstein G, Volpp KG (2011) Enhanced active choice: A new method to motivate behavior change. J. Consumer Psych. 21(4):376–383.CrossrefGoogle Scholar
  • Kim S-H, Tong J, Peden C (2020) Admission control biases in hospital unit capacity management: How occupancy information hurdles and decision noise impact utilization. Management Sci. 66(11):5151–5170.LinkGoogle Scholar
  • Kong Q, Li S, Liu N, Teo C-P, Yan Z (2020) Appointment scheduling under time-dependent patient no-show behavior. Management Sci. 66(8):3480–3500.LinkGoogle Scholar
  • Kremer M, Debo L (2015) Inferring quality from wait time. Management Sci. 62(10):3023–3038.LinkGoogle Scholar
  • Kumar P, Kalwani MU, Dada M (1997) The impact of waiting time guarantees on customers’ waiting experiences. Marketing Sci. 16(4):295–314.LinkGoogle Scholar
  • LaGanga LR, Lawrence SR (2007) Clinic overbooking to improve patient access and increase provider productivity. Decision Sci. 38(2):251–276.CrossrefGoogle Scholar
  • LaGanga LR, Lawrence SR (2012) Appointment overbooking in healthcare clinics to improve patient service and clinic performance. Production Oper. Management 21(5):874–888.CrossrefGoogle Scholar
  • Larson RC (1987) Or forum—perspectives on queues: Social justice and the psychology of queueing. Oper. Res. 35(6):895–905.LinkGoogle Scholar
  • Liu N, Finkelstein SR, Kruk ME, Rosenthal D (2017) When waiting to see a doctor is less irritating: Understanding patient preferences and choice behavior in appointment scheduling. Management Sci. 64(5):1975–1996.LinkGoogle Scholar
  • Liu N, Ziya S, Kulkarni VG (2010) Dynamic scheduling of outpatient appointments under patient no-shows and cancellations. Manufacturing Service Oper. Management 12(2):347–364.LinkGoogle Scholar
  • Lu Y, Musalem A, Olivares M, Schilkrut A (2013) Measuring the effect of queues on customer purchases. Management Sci. 59(8):1743–1763.LinkGoogle Scholar
  • Macharia WM, Leon G, Rowe BH, Stephenson BJ, Haynes RB (1992) An overview of interventions to improve compliance with appointment keeping for medical services. JAMA 267(13):1813–1817.CrossrefGoogle Scholar
  • Madrian BC, Shea DF (2001) The power of suggestion: Inertia in 401 (k) participation and savings behavior. Quart. J. Econom. 116(4):1149–1187.CrossrefGoogle Scholar
  • Martin C, Perfect T, Mantle G (2005) Non-attendance in primary care: The views of patients and practices on its causes, impact and solutions. Family Practice 22(6):638–643.CrossrefGoogle Scholar
  • McGlone MS, Stephens KK, Rodriguez SA, Fernandez ME (2017) Persuasive texts for prompting action: Agency assignment in HPV vaccination reminders. Vaccine 35(34):4295–4297.CrossrefGoogle Scholar
  • McLean SM, Booth A, Gee M, Salway S, Cobb M, Bhanbhro S, Nancarrow SA (2016) Appointment reminder systems are effective but not optimal: Results of a systematic review and evidence synthesis employing realist principles. Patient Preference Adherence 10:479.CrossrefGoogle Scholar
  • Meeker D, Linder JA, Fox CR, Friedberg MW, Persell SD, Goldstein NJ, Knight TK, Hay JW, Doctor JN (2016) Effect of behavioral interventions on inappropriate antibiotic prescribing among primary care practices: A randomized clinical trial. JAMA 315(6):562–570.CrossrefGoogle Scholar
  • Moore CG, Wilson-Witherspoon P, Probst JC (2001) Time and money: Effects of no-shows at a family practice residency clinic. Family Medicine 33(7):522–527.Google Scholar
  • Murray M, Tantau C (2000) Same-day appointments: Exploding the access paradigm. Family Practice Management 7(8):45.Google Scholar
  • Muthuraman K, Lawley M (2008) A stochastic overbooking model for outpatient clinical scheduling with no-shows. IIE Trans. 40(9):820–838.CrossrefGoogle Scholar
  • Neal RD (2009) Do diagnostic delays in cancer matter? British J. Cancer 101(S2):S9.CrossrefGoogle Scholar
  • Neal RD, Hussain-Gambles M, Allgar VL, Lawlor DA, Dempsey O (2005) Reasons for and consequences of missed appointments in general practice in the UK: Questionnaire survey and prospective review of medical records. BMC Family Practice 6(1):47.CrossrefGoogle Scholar
  • Osadchiy N, KC D (2017) Are patients patient? The role of time to appointment in patient flow. Production Oper. Management 26(3):469–490.CrossrefGoogle Scholar
  • 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. Amer. J. Medicine 123(6):542–548.CrossrefGoogle Scholar
  • Patel MS, Day SC, Halpern SD, Hanson CW, Martinez JR, Honeywell S, Volpp KG (2016) Generic medication prescription rates after health system–wide redesign of default options within the electronic health record. JAMA Internal Medicine 176(6):847–848.CrossrefGoogle Scholar
  • Pesata V, Pallija G, Webb AA (1999) A descriptive study of missed appointments: Families’ perceptions of barriers to care. J. Pediatric Health Care 13(4):178–182.CrossrefGoogle Scholar
  • Phan K, Brown SR (2009) Decreased continuity in a residency clinic: A consequence of open access scheduling. Family Medicine 41(1):46–50.Google Scholar
  • Piehl AM, Cooper SJ, Braga AA, Kennedy DM (2003) Testing for structural breaks in the evaluation of programs. Rev. Econom. Statist. 85(3):550–558.CrossrefGoogle Scholar
  • Preacher KJ, Hayes AF (2008) Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav. Res. Methods 40(3):879–891.CrossrefGoogle Scholar
  • Quandt RE (1960) Tests of the hypothesis that a linear regression system obeys two separate regimes. J. Amer. Statist. Assoc. 55(290):324–330.CrossrefGoogle Scholar
  • Raz O, Ert E (2008) Size counts: The effect of queue length on choice between similar restaurants. Adv. Consumer Res. 35:803–804.Google Scholar
  • Rust CT, Gallups NH, Clark WS, Jones DS, Wilcox WD (1995) Patient appointment failures in pediatric resident continuity clinics. Arch. Pediatric Adolescent Medicine 149(6):693–695.CrossrefGoogle Scholar
  • Solberg LI, Hroscikoski MC, Sperl-Hillen JM, O’Connor PJ, Crabtree BF (2004) Key issues in transforming healthcare organizations for quality: The case of advanced access. Joint Commission J. Quality Safety 30(1):15–24.CrossrefGoogle Scholar
  • Song H, Tucker AL, Murrell KL, Vinson DR (2018) Closing the productivity gap: Improving worker productivity through public relative performance feedback and validation of best practices. Management Sci. 64(6):2628–2649.LinkGoogle Scholar
  • Szilagyi PG, Bordley C, Vann JC, Chelminski A, Kraus RM, Margolis PA, Rodewald LE (2000) Effect of patient reminder/recall interventions on immunization rates: A review. JAMA 284(14):1820–1827.CrossrefGoogle Scholar
  • Thaler RH, Sunstein CR (2009) Nudge: Improving Decisions About Health, Wealth, and Happiness (Penguin, New York).Google Scholar
  • Tversky A, Kahneman D (1973) Availability: A heuristic for judging frequency and probability. Cognitive Psych. 5(2):207–232.CrossrefGoogle Scholar
  • Veeraraghavan SK, Debo LG (2011) Herding in queues with waiting costs: Rationality and regret. Manufacturing Service Oper. Management 13(3):329–346.LinkGoogle Scholar
  • Yu Q, Allon G, Bassamboo A (2017) How do delay announcements shape customer behavior? An empirical study. Management Sci. 63(1):1–20.LinkGoogle Scholar
  • Yu Q, Zhang Y, Zhou Y-P (2022) Delay information in virtual queues: A large-scale field experiment on a major ride-sharing platform. Management Sci. 68(8):5745–5757.LinkGoogle Scholar
  • Zacharias C, Armony M (2017) Joint panel sizing and appointment scheduling in outpatient care. Management Sci. 63(11):3978–3997.LinkGoogle Scholar
  • Zacharias C, Pinedo M (2014) Appointment scheduling with no-shows and overbooking. Production Oper. Management 23(5):788–801.CrossrefGoogle Scholar
  • Zhou R, Soman D (2008) Consumers’ waiting in queues: The role of first-order and second-order justice. Psych. Marketing 25(3):262–279.CrossrefGoogle Scholar
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