Improving Tuberculosis Treatment Adherence Support: The Case for Targeted Behavioral Interventions

References

• Addington WW (1979) Patient compliance: The most serious remaining problem in the control of tuberculosis in the united states. Chest 76(6):741–743.Crossref, Google 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.Crossref, Google Scholar
• Aswani A, Kaminsky P, Mintz Y, Flowers E, Fukuoka Y (2019) Behavioral modeling in weight loss interventions. Eur. J. Oper. Res. 272(3):1058–1072.Crossref, Google Scholar
• Bartolucci F, Nigro V (2010) A dynamic model for binary panel data with unobserved heterogeneity admitting a n-consistent conditional estimator. Econometrica 78(2):719–733.Crossref, Google Scholar
• 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
• Bavafa H, Savin S, Terwiesch C (2021) Redesigning primary care delivery: Customized office revisit intervals and e-visits. Preprint, submitted June 12, https://dx.doi.org/10.2139/ssrn.2363685.Google Scholar
• Bidargaddi N, Schrader G, Klasnja P, Licinio J, Murphy S (2020) Designing m-health interventions for precision mental health support. Translational Psychiatry 10(1):1–8.Crossref, Google Scholar
• Birnbaum F, Lewis DM, Rosen R, Ranney ML (2015) Patient engagement and the design of digital health. Academic Emergency Medicine: Official J Soc. Academic Emergency Medicine 22(6):754–756.Crossref, Google Scholar
• Boutilier JJ, Chan TCY (2020) Ambulance emergency response optimization in developing countries. Oper. Res. 68(5):1315–1334.Link, Google Scholar
• Chamberlain G (1980) Analysis of covariance with qualitative data. Rev. Econom. Stud. 47(1):225–238.Crossref, Google Scholar
• Chaudhry SI, Phillips CO, Stewart SS, Riegel B, Mattera JA, Jerant AF, Krumholz HM (2007) Telemonitoring for patients with chronic heart failure: A systematic review. J. Cardiac Failure 13(1):56–62.Crossref, Google Scholar
• Chaudhry SI, Mattera JA, Curtis JP, Spertus JA, Herrin J, Lin Z, Phillips CO, Hodshon BV, Cooper LS, Krumholz HM (2010) Telemonitoring in patients with heart failure. New England J. Medicine 363(24):2301–2309.Crossref, Google Scholar
• De Boeck K, Decouttere C, Vandaele N (2019) Vaccine distribution chains in low-and middle-income countries: A literature review. Omega 97.Google Scholar
• De Boeck K, Decouttere C, Jónasson JO, Vandaele N (2021) Vaccine supply chains in resource-limited settings: Mitigating the impact of rainy season disruptions. Eur. J. Oper. Res., ePub ahead of print October 28, https://doi.org/10.1016/j.ejor.2021.10.040.Google Scholar
• Delana K, Deo S, Ramdas K, Babu G, Ravilla T (2020) Multichannel delivery in healthcare: The impact of telemedicine centers in southern India. Preprint, submitted January 8, https://dx.doi.org/10.2139/ssrn.3505318.Google Scholar
• Deo S, Sohoni M (2015) Optimal decentralization of early infant diagnosis of HIV in resource-limited settings. Manufacturing Service Oper. Management 17(2):191–207.Link, Google Scholar
• DiMatteo MR, Haskard-Zolnierek KB, Martin LR (2012) Improving patient adherence: A three-factor model to guide practice. Health Psych. Rev. 6(1):74–91.Crossref, Google Scholar
• DiMatteo MR, Giordani PJ, Lepper HS, Croghan TW (2002) Patient adherence and medical treatment outcomes a meta-analysis. Medical Care 40(9):794–811.Crossref, Google Scholar
• Druce KL, Dixon WG, McBeth J (2019) Maximizing engagement in mobile health studies: Lessons learned and future directions. Rheumatic Disease Clinics 45(2):159–172.Crossref, Google Scholar
• Enos M, Sitienei J, Ong’ang’o J, Mungai B, Kamene M, Wambugu J, Kipruto H, et al. (2018) Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya. PLoS One 13(12):e0209098.Crossref, Google Scholar
• Eskås PA, Heimark S, Eek Mariampillai J, Larstorp ACK, Fadl Elmula FEM, Høieggen A (2016) Adherence to medication and drug monitoring in apparent treatment-resistant hypertension. Blood Pressure 25(4):199–205.Crossref, Google Scholar
• Fox W (1958) The problem of self-administration of drugs; with particular reference to pulmonary tuberculosis. Tubercle 39(5):269–274.Crossref, Google Scholar
• Gallien J, Rashkova I, Atun R, Yadav P (2017) National drug stockout risks and the global fund disbursement process for procurement. Production Oper. Management 26(6):997–1014.Crossref, Google Scholar
• Grange JM, Zumla A (2002) The global emergency of tuberculosis: What is the cause? J. Roy. Soc. Promotion Health 122(2):78–81.Crossref, Google 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.Crossref, Google Scholar
• Hovell MF, Sipan CL, Blumberg EJ, Hofstetter CR, Slymen D, Friedman L, Moser K, Kelley NJ, Vera AY (2003) Increasing Latino adolescents’ adherence to treatment for latent tuberculosis infection: A controlled trial. Amer. J. Public Health 93(11):1871–1877.Crossref, Google Scholar
• Jónasson JO, Deo S, Gallien J (2017) Improving HIV early infant diagnosis supply chains in sub-Saharan Africa: Models and application to Mozambique. Oper. Res. 65(6):1479–1493.Link, Google Scholar
• Kalichman SC, Eaton L, Kalichman MO, Grebler T, Merely C, Welles B (2016) Race-based medical mistrust, medication beliefs and HIV treatment adherence: Test of a mediation model in people living with HIV/AIDS. J. Behav. Medicine 39(6):1056–1064.Crossref, Google Scholar
• Kardas P, Lewek P, Matyjaszczyk M (2013) Determinants of patient adherence: A review of systematic reviews. Frontiers Pharmacology 4:Article Number 91.Crossref, Google Scholar
• Killian JA, Wilder B, Sharma A, Choudhary V, Dilkina B, Tambe M (2019) Learning to prescribe interventions for tuberculosis patients using digital adherence data. Proc. 25th ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining (ACM, New York), 2430–2438.Google Scholar
• Kvedar J, Coye MJ, Everett W (2014) Connected health: A review of technologies and strategies to improve patient care with telemedicine and telehealth. Health Affairs 33(2):194–199.Crossref, Google Scholar
• Lekwijit ST, Terwiesch C, Asch D, Volpp K (2019) Evaluating the efficacy of connected healthcare: An empirical examination of patient engagement systems and their impact on readmission. Preprint, submitted July 17, https://dx.doi.org/10.2139/ssrn.3420495.Google Scholar
• Leung NZ, Chen A, Yadav P, Gallien J (2016) The impact of inventory management on stock-outs of essential drugs in sub-Saharan Africa: Secondary analysis of a field experiment in Zambia. PloS One 11(5):e0156026.Crossref, Google Scholar
• Levi R, Perakis G, Romero G (2017) On the effectiveness of uniform subsidies in increasing market consumption. Management Sci. 63(1):40–57.Link, Google Scholar
• Marshall G, Blacklock JWS, Cameron C, Capon NB, Cruickshank R, Gaddum JH, Heaf FRG, et al. (1948) Streptomycin treatment of pulmonary tuberculosis: A medical research council investigation. BMJ 2(4582):769–782.Crossref, Google Scholar
• Martins N, Morris P, Kelly PM (2009) Food incentives to improve completion of tuberculosis treatment: Randomised controlled trial in Dili, Timor-Leste. BMJ 339:b4248.Crossref, Google Scholar
• Mills S (2020) Personalized nudging. Behav. Public Policy, ePub ahead of print April 13, https://doi.org/10.1017/bpp.2020.7.Google Scholar
• Munro SA, Lewin SA, Smith HJ, Engel ME, Fretheim A, Volmink J (2007) Patient adherence to tuberculosis treatment: A systematic review of qualitative research. PloS Med. 4(7):e0040238.Crossref, Google Scholar
• Natarajan KV, Swaminathan JM (2014) Inventory management in humanitarian operations: Impact of amount, schedule, and uncertainty in funding. Manufacturing Service Oper. Management 16(4):595–603.Link, Google Scholar
• Neyman J, Scott EL (1948) Consistent estimates based on partially consistent observations. Econometrica 16(1):1–32.Crossref, Google Scholar
• Nieuwlaat R, Wilczynski N, Navarro T, Hobson N, Jeffery R, Keepanasseril A, Agoritsas T, et al. (2014) Interventions for enhancing medication adherence. Cochrane Database Systems Rev. 11:Article Number CD000011.Google Scholar
• Parvin H, Beygi S, Helm JE, Larson PS, Van Oyen MP (2018) Distribution of medication considering information, transshipment, and clustering: Malaria in Malawi. Production Oper. Management 27(4):774–797.Crossref, Google Scholar
• Rabbi M, Aung MSH, Gay G, Reid MC, Choudhury T (2018) Feasibility and acceptability of mobile phone–based auto-personalized physical activity recommendations for chronic pain self-management: Pilot study on adults. J. Medical Internet Res. 20(10):e10147.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
• Richterman A, Steer-Massaro J, Jarolimova J, Nguyen LBL, Werdenberg J, Ivers LC (2018) Cash interventions to improve clinical outcomes for pulmonary tuberculosis: Systematic review and meta-analysis. Bull. World Health Organ. 96(7):471–483.Crossref, Google Scholar
• Ruggeri K, Benzerga A, Verra S, Folke T (2020) A behavioral approach to personalizing public health. Behav. Public Policy, ePub ahead of print July 9, https://doi.org/10.1017/bpp.2020.31.Crossref, Google Scholar
• Sacarny A, Yokum D, Finkelstein A, Agrawal S (2016) Medicare letters to curb overprescribing of controlled substances had no detectable effect on providers. Health Affairs 35(3):471–479.Crossref, Google Scholar
• Saghafian S, Hopp WJ, Iravani SMR, Cheng Y, Diermeier D (2018) Workload management in telemedical physician triage and other knowledge-based service systems. Management Sci. 64(11):5180–5197.Link, Google Scholar
• Subbaraman R, de Mondesert L, Musiimenta A, Pai M, Mayer KH, Thomas BE, Haberer J (2018) Digital adherence technologies for the management of tuberculosis therapy: Mapping the landscape and research priorities. BMJ Global Health 3(5):1–16.Crossref, Google Scholar
• Suen S, Brandeau ML, Goldhaber-Fiebert JD (2018) Optimal timing of drug sensitivity testing for patients on first-line tuberculosis treatment. Health Care Management Sci. 21(4):632–646.Crossref, Google Scholar
• Suen S, Negoescu D, Goh J (2019) Design of incentive programs for optimal medication adherence. Preprint, submitted January 11, https://dx.doi.org/10.2139/ssrn.3308510.Google Scholar
• Sullivan BJ, Esmaili BE, Cunningham CK (2017) Barriers to initiating tuberculosis treatment in sub-Saharan Africa: A systematic review focused on children and youth. Global Health Action 10(1):1290317.Crossref, Google Scholar
• Taylor TA, Xiao W (2014) Subsidizing the distribution channel: Donor funding to improve the availability of malaria drugs. Management Sci. 60(10):2461–2477.Link, Google Scholar
• UN General Assembly (2015) Transforming our world: The 2030 agenda for sustainable development. Accessed December 7, 2021, https://www.refworld.org/docid/57b6e3e44.html.Google Scholar
• Volmink J, Garner P (2007) Directly observed therapy for treating tuberculosis. Cochrane Database Systematic Rev. 4:Article Number CD003343.Google Scholar
• Walley JD, Khan MA, Newell JN, Khan MH (2001) Effectiveness of the direct observation component of dots for tuberculosis: A andomized controlled trial in Pakistan. Lancet 357(9257):664–669.Crossref, Google Scholar
• WHO (2009) A brief history of tuberculosis control in Kenya. Technical report, World Health Organization, Geneva.Google Scholar
• WHO (2019) Global tuberculosis report. World Health Organization and others, Geneva.Google Scholar
• WHO (2020) Global tuberculosis report. World Health Organization and others, Geneva.Google Scholar
• Yadav A, Wilder B, Rice E, Petering R, Craddock J, Yoshioka-Maxwell A, Hemler M, Onasch-Vera L, Tambe M, Woo D (2018) Bridging the gap between theory and practice in influence maximization: Raising awareness about HIV among homeless youth. Proc. Twenty-Seventh Internat. Joint Conf. Artificial Intelligence (International Joint Conferences on Artificial Intelligence Organization, San Francisco), 5399–5403.Google Scholar
• Yoeli E, Rathauser J, Bhanot SP, Kimenye MK, Mailu E, Masini E, Owiti P, Rand D (2019) Digital health support in treatment for tuberculosis. New England J. Medicine 381(10):986–987.Crossref, Google Scholar
• Zhang C, Atasu A, Ayer T, Toktay LB (2020) Truthful mechanisms for medical surplus product allocation. Manufacturing Service Oper. Management 22(4):735–753.Link, Google Scholar