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Patient adherence in healthcare operations: A narrative review

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  • Kılıç, Hakan
  • Güneş, Evrim Didem

Abstract

Patient nonadherence to healthcare providers’ recommendations is a major obstacle to desired health outcomes. It results in health deterioration and hospitalization, which might have been avoided with a high level of patient adherence. This paper reviews the literature addressing the issue of adherence in healthcare operations. A total of 73 published articles from operations research and management science journals are included in the review as a result of the systematic search that covered studies from inception until October 26, 2022. This paper is the first comprehensive review of adherence-related research in the operations research field. We summarize how adherence is measured, the research contexts, interactions between adherence and the healthcare system, and how adherence is modeled mathematically. Furthermore, we review adherence-related research at clinical, hospital, and healthcare system levels of planning and control, in addition to medical decision-making. We identify the opportunities in adherence research under the following themes: Supporting proactive management of adherence for healthcare providers, designing a healthcare system that enables adherence, developing personalized treatments, and addressing the global health issues of antimicrobial resistance and vaccine hesitancy.

Suggested Citation

  • Kılıç, Hakan & Güneş, Evrim Didem, 2024. "Patient adherence in healthcare operations: A narrative review," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:soceps:v:91:y:2024:i:c:s0038012123003075
    DOI: 10.1016/j.seps.2023.101795
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    as
    1. Lemuel A. Moyé & Stephen D. Roberts, 1982. "Modeling the Pharmacologic Treatment of Hypertension," Management Science, INFORMS, vol. 28(7), pages 781-797, July.
    2. Nan Liu, 2016. "Optimal Choice for Appointment Scheduling Window under Patient No-Show Behavior," Production and Operations Management, Production and Operations Management Society, vol. 25(1), pages 128-142, January.
    3. Panarello, Demetrio & Tassinari, Giorgio, 2022. "One year of COVID-19 in Italy: are containment policies enough to shape the pandemic pattern?," Socio-Economic Planning Sciences, Elsevier, vol. 79(C).
    4. Jacob Feldman & Nan Liu & Huseyin Topaloglu & Serhan Ziya, 2014. "Appointment Scheduling Under Patient Preference and No-Show Behavior," Operations Research, INFORMS, vol. 62(4), pages 794-811, August.
    5. Wen-Ya Wang & Diwakar Gupta, 2011. "Adaptive Appointment Systems with Patient Preferences," Manufacturing & Service Operations Management, INFORMS, vol. 13(3), pages 373-389, July.
    6. Aswani, Anil & Kaminsky, Philip & Mintz, Yonatan & Flowers, Elena & Fukuoka, Yoshimi, 2019. "Behavioral modeling in weight loss interventions," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1058-1072.
    7. Cheng Wang & Lili Deng & Yi Han, 2018. "Optimal appointment reminder sending strategy for a single service scenario with customer no-show behaviour," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1863-1875, November.
    8. John Kros & Scott Dellana & David West, 2009. "Overbooking Increases Patient Access at East Carolina University's Student Health Services Clinic," Interfaces, INFORMS, vol. 39(3), pages 271-287, June.
    9. Linda V. Green & Sergei Savin, 2008. "Reducing Delays for Medical Appointments: A Queueing Approach," Operations Research, INFORMS, vol. 56(6), pages 1526-1538, December.
    10. Francis de Véricourt & Huseyin Gurkan & Shouqiang Wang, 2021. "Informing the Public About a Pandemic," Management Science, INFORMS, vol. 67(10), pages 6350-6357, October.
    11. Yue Zhang & Oded Berman & Patrice Marcotte & Vedat Verter, 2010. "A bilevel model for preventive healthcare facility network design with congestion," IISE Transactions, Taylor & Francis Journals, vol. 42(12), pages 865-880.
    12. Gregory S. Zaric & Dena M. Bravata & Jon-Erik Cleophas Holty & Kathryn M. McDonald & Douglas K. Owens & Margaret L. Brandeau, 2008. "Modeling the Logistics of Response to Anthrax Bioterrorism," Medical Decision Making, , vol. 28(3), pages 332-350, May.
    13. Brailsford, Sally & Schmidt, Bernd, 2003. "Towards incorporating human behaviour in models of health care systems: An approach using discrete event simulation," European Journal of Operational Research, Elsevier, vol. 150(1), pages 19-31, October.
    14. Greggory J. Schell & Gian-Gabriel P. Garcia & Mariel S. Lavieri & Jeremy B. Sussman & Rodney A. Hayward, 2019. "Optimal coinsurance rates for a heterogeneous population under inequality and resource constraints," IISE Transactions, Taylor & Francis Journals, vol. 51(1), pages 74-91, January.
    15. Aaron Ratcliffe & Ann Marucheck & Sean Xin Xu, 2019. "Regional Planning Model for Cancer Screening with Imperfect Patient Adherence," Service Science, INFORMS, vol. 11(2), pages 113-137, June.
    16. Kum-Khiong Yang & Tugba Cayirli, 2020. "Managing clinic variability with same-day scheduling, intervention for no-shows, and seasonal capacity adjustments," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(1), pages 133-152, January.
    17. Nan Liu & Serhan Ziya, 2014. "Panel Size and Overbooking Decisions for Appointment-Based Services under Patient No-Shows," Production and Operations Management, Production and Operations Management Society, vol. 23(12), pages 2209-2223, December.
    18. Liberatore, Matthew J. & Nydick, Robert L., 2008. "The analytic hierarchy process in medical and health care decision making: A literature review," European Journal of Operational Research, Elsevier, vol. 189(1), pages 194-207, August.
    19. Sally Brailsford & Ruth Davies & Chris Canning & Paul Roderick, 1998. "Evaluating screening policies for the early detection of retinopathy in patients with non‐insulin dependent diabetes," Health Care Management Science, Springer, vol. 1(2), pages 115-124, October.
    20. Evrim Didem Güneş & Egemen Lerzan Örmeci & Derya Kunduzcu, 2015. "Preventing and Diagnosing Colorectal Cancer with a Limited Colonoscopy Resource," Production and Operations Management, Production and Operations Management Society, vol. 24(1), pages 1-20, January.
    21. Gréanne Leeftink & Gabriela Martinez & Erwin W. Hans & Mustafa Y. Sir & Kalyan S. Pasupathy, 2022. "Optimising the booking horizon in healthcare clinics considering no-shows and cancellations," International Journal of Production Research, Taylor & Francis Journals, vol. 60(10), pages 3201-3218, May.
    22. Qian Guan & Brian J. Reich & Eric B. Laber & Dipankar Bandyopadhyay, 2020. "Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1066-1078, July.
    23. Harris, Shannon L. & May, Jerrold H. & Vargas, Luis G. & Foster, Krista M., 2020. "The effect of cancelled appointments on outpatient clinic operations," European Journal of Operational Research, Elsevier, vol. 284(3), pages 847-860.
    24. Li, Y. & Zhu, M. & Klein, R. & Kong, N., 2014. "Using a partially observable Markov chain model to assess colonoscopy screening strategies – A cohort study," European Journal of Operational Research, Elsevier, vol. 238(1), pages 313-326.
    25. Ocampo, Lanndon & Yamagishi, Kafferine, 2020. "Modeling the lockdown relaxation protocols of the Philippine government in response to the COVID-19 pandemic: An intuitionistic fuzzy DEMATEL analysis," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    26. Nikolay Osadchiy & Diwas KC, 2017. "Are Patients Patient? The Role of Time to Appointment in Patient Flow," Production and Operations Management, Production and Operations Management Society, vol. 26(3), pages 469-490, March.
    27. Dantas, Leila F. & Fleck, Julia L. & Cyrino Oliveira, Fernando L. & Hamacher, Silvio, 2018. "No-shows in appointment scheduling – a systematic literature review," Health Policy, Elsevier, vol. 122(4), pages 412-421.
    28. Jiayi Liu & Jingui Xie & Kum Khiong Yang & Zhichao Zheng, 2019. "Effects of Rescheduling on Patient No-Show Behavior in Outpatient Clinics," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 780-797, October.
    29. Xiang Zhong & Sujee Lee & Cong Zhao & Hyo Kyung Lee & Philip A. Bain & Tammy Kundinger & Craig Sommers & Christine Baker & Jingshan Li, 2019. "Reducing COPD readmissions through predictive modeling and incentive-based interventions," Health Care Management Science, Springer, vol. 22(1), pages 121-139, March.
    30. Dimitrios A. Andritsos & Christopher S. Tang, 2018. "Incentive Programs for Reducing Readmissions when Patient Care is Co†Produced," Production and Operations Management, Production and Operations Management Society, vol. 27(6), pages 999-1020, June.
    31. Brailsford, S.C. & Harper, P.R. & Sykes, J., 2012. "Incorporating human behaviour in simulation models of screening for breast cancer," European Journal of Operational Research, Elsevier, vol. 219(3), pages 491-507.
    32. Li Luo & Ying Zhou & Bernard T. Han & Jialing Li, 2019. "An optimization model to determine appointment scheduling window for an outpatient clinic with patient no-shows," Health Care Management Science, Springer, vol. 22(1), pages 68-84, March.
    33. Navid Izady, 2015. "Appointment Capacity Planning in Specialty Clinics: A Queueing Approach," Operations Research, INFORMS, vol. 63(4), pages 916-930, August.
    34. Fatih Safa Erenay & Oguzhan Alagoz & Adnan Said, 2014. "Optimizing Colonoscopy Screening for Colorectal Cancer Prevention and Surveillance," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 381-400, July.
    35. Oluwaseun Sharomi & Tufail Malik, 2017. "Optimal control in epidemiology," Annals of Operations Research, Springer, vol. 251(1), pages 55-71, April.
    36. Jonathan Patrick, 2012. "A Markov decision model for determining optimal outpatient scheduling," Health Care Management Science, Springer, vol. 15(2), pages 91-102, June.
    37. Kang, Yuncheol & Sawyer, Amy M. & Griffin, Paul M. & Prabhu, Vittaldas V., 2016. "Modelling adherence behaviour for the treatment of obstructive sleep apnoea," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1005-1013.
    38. Guo, Feiyu & Cao, Erbao, 2021. "Can reference points explain vaccine hesitancy? A new perspective on their formation and updating," Omega, Elsevier, vol. 99(C).
    39. Albert L. Nichols & Milton C. Weinstein, 1978. "Optimal Resource Allocation in Community Hypertension Programs," Management Science, INFORMS, vol. 24(14), pages 1526-1537, October.
    40. Ahmadi-Javid, Amir & Jalali, Zahra & Klassen, Kenneth J, 2017. "Outpatient appointment systems in healthcare: A review of optimization studies," European Journal of Operational Research, Elsevier, vol. 258(1), pages 3-34.
    41. K J Glowacka & R M Henry & J H May, 2009. "A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1056-1068, August.
    42. Steven M. Shechter & Matthew D. Bailey & Andrew J. Schaefer & Mark S. Roberts, 2008. "The Optimal Time to Initiate HIV Therapy Under Ordered Health States," Operations Research, INFORMS, vol. 56(1), pages 20-33, February.
    43. Renata Kopach & Po-Ching DeLaurentis & Mark Lawley & Kumar Muthuraman & Leyla Ozsen & Ron Rardin & Hong Wan & Paul Intrevado & Xiuli Qu & Deanna Willis, 2007. "Effects of clinical characteristics on successful open access scheduling," Health Care Management Science, Springer, vol. 10(2), pages 111-124, June.
    44. Isabelle Rao & Adir Shaham & Amir Yavneh & Dor Kahana & Itai Ashlagi & Margaret L. Brandeau & Dan Yamin, 2020. "Predicting and improving patient-level antibiotic adherence," Health Care Management Science, Springer, vol. 23(4), pages 507-519, December.
    45. Song-Hee Kim & Carri W. Chan & Marcelo Olivares & Gabriel Escobar, 2015. "ICU Admission Control: An Empirical Study of Capacity Allocation and Its Implication for Patient Outcomes," Management Science, INFORMS, vol. 61(1), pages 19-38, January.
    46. Martin Kunc & Paul Harper & Konstantinos Katsikopoulos, 2020. "A review of implementation of behavioural aspects in the application of OR in healthcare," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 71(7), pages 1055-1072, July.
    47. Diwakar Gupta & Lei Wang, 2008. "Revenue Management for a Primary-Care Clinic in the Presence of Patient Choice," Operations Research, INFORMS, vol. 56(3), pages 576-592, June.
    48. Samorani, Michele & LaGanga, Linda R., 2015. "Outpatient appointment scheduling given individual day-dependent no-show predictions," European Journal of Operational Research, Elsevier, vol. 240(1), pages 245-257.
    49. Jennifer E. Mason & Darin A. England & Brian T. Denton & Steven A. Smith & Murat Kurt & Nilay D. Shah, 2012. "Optimizing Statin Treatment Decisions for Diabetes Patients in the Presence of Uncertain Future Adherence," Medical Decision Making, , vol. 32(1), pages 154-166, January.
    50. M. Reza Skandari & Steven M. Shechter, 2021. "Patient-Type Bayes-Adaptive Treatment Plans," Operations Research, INFORMS, vol. 69(2), pages 574-598, March.
    51. Lotfi, Vahid & Torres, Edgar, 2014. "Improving an outpatient clinic utilization using decision analysis-based patient scheduling," Socio-Economic Planning Sciences, Elsevier, vol. 48(2), pages 115-126.
    52. Hilal Atasoy & Emre M. Demirezen & Pei‐Yu Chen, 2021. "Impacts of Patient Characteristics and Care Fragmentation on the Value of HIEs," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 563-583, February.
    53. Nan Liu & Serhan Ziya & Vidyadhar G. Kulkarni, 2010. "Dynamic Scheduling of Outpatient Appointments Under Patient No-Shows and Cancellations," Manufacturing & Service Operations Management, INFORMS, vol. 12(2), pages 347-364, September.
    54. Moslem Soofi & Farid Najafi & Behzad Karami-Matin, 2020. "Using Insights from Behavioral Economics to Mitigate the Spread of COVID-19," Applied Health Economics and Health Policy, Springer, vol. 18(3), pages 345-350, June.
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