Feasibility of an Ingestible Sensor-Based System for Monitoring Adherence to Tuberculosis Therapy
Open accessAbstract
Poor adherence to tuberculosis (TB) treatment hinders the individual's recovery and threatens public health. Currently, directly observed therapy (DOT) is the standard of care; however, high sustaining costs limit its availability, creating a need for more practical adherence confirmation methods. Techniques such as video monitoring and devices to time-register the opening of pill bottles are unable to confirm actual medication ingestions. A novel approach developed by Proteus Digital Health, Inc. consists of an ingestible sensor and an on-body wearable sensor; together, they electronically confirm unique ingestions and record the date/time of the ingestion. A feasibility study using an early prototype was conducted in active TB patients to determine the system's accuracy and safety in confirming co-ingestion of TB medications with sensors. Thirty patients completed 10 DOT visits and 1,080 co-ingestion events; the system showed 95.0% (95% CI 93.5-96.2%) positive detection accuracy, defined as the number of detected sensors divided by the number of transmission capable sensors administered. The specificity was 99.7% [95% CI 99.2-99.9%] based on three false signals recorded by receivers. The system's identification accuracy, defined as the number of correctly identified ingestible sensors divided by the number of sensors detected, was 100%. Of 11 adverse events, four were deemed related or possibly related to the device; three mild skin rashes and one complaint of nausea. The system's positive detection accuracy was not affected by the subjects' Body Mass Index (p = 0.7309). Study results suggest the system is capable of correctly identifying ingestible sensors with high accuracy, poses a low risk to users, and may have high patient acceptance. The system has the potential to confirm medication specific treatment compliance on a dose-by-dose basis. When coupled with mobile technology, the system could allow wirelessly observed therapy (WOT) for monitoring TB treatment as a replacement for DOT.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Prior clinical studies suggested this DMO can identify reasons for uncontrolled hypertension and help patients achieve blood pressure control.
“and suggested this DMO can identify reasons for uncontrolled HTN and help patients achieve BP control [16-21].”
From Effectiveness of Digital Medicines to Improve Clinical Outcomes in Patients with Uncontrolled Hypertension and Type 2 Diabetes: Prospective, Open-Label, Cluster-Randomized Pilot Clinical Trial (2017) · cites this paper as [17]
The Results report that the ingestible-sensor system detected medication ingestions in patients receiving tuberculosis therapy, and the Discussion says it could help identify poor adherence. The study did not investigate uncontrolled hypertension, determine its causes, or measure whether patients achieved blood-pressure control. (LLM, conf=0.83)
Experimental — accuracy not yet measuredPrior clinical studies demonstrated the accuracy, safety, and feasibility of using the DMO in patients across a range of medical conditions, including hypertension and type 2 diabetes mellitus.
“Prior clinical studies demonstrated the accuracy, safety, and feasibility of using the DMO in patients across a range of medical conditions, including HTN and type 2 diabetes mellitus (T2DM)”
From Effectiveness of Digital Medicines to Improve Clinical Outcomes in Patients with Uncontrolled Hypertension and Type 2 Diabetes: Prospective, Open-Label, Cluster-Randomized Pilot Clinical Trial (2017) · cites this paper as [17]
The Abstract and Discussion report accuracy, adverse events, and feasibility for an ingestible sensor system in patients receiving tuberculosis treatment. The Introduction mentions earlier studies in healthy volunteers and other small cohorts, but our copy does not establish the claimed findings in patients with hypertension or type 2 diabetes. (LLM, conf=0.85)
Experimental — accuracy not yet measuredThe uncontrolled prior studies did not focus on disease control.
“However, these uncontrolled studies did not focus on disease control.”
Ingestible sensors combined with or embedded in tablets may accurately determine taking adherence.
“Ingestible sensors combined with or embedded in tablets may accurately determine taking adherence[23,24].”
From Adherence is associated with a favorable outcome after lung transplantation (2019) · cites this paper as [24]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
McGuire, S. (2014) · Advances in Nutrition · doi:10.3945/an.114.007211 · Cited by 1,122 · see citing works
Gandhi, N. R., Nunn, P. P., Dheda, K. U. J., Schaaf, H. S., Matteo Zignol, E., van Soolingen, D., Jensen, P. A., & Bayona, J. N. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60410-2 · Cited by 1,019 · see citing works
Tuberculosis in New York City — Turning the Tide
Frieden, T. R., Fujiwara, P. I., Washko, R. M., & Hamburg, M. A. (1995) · New England Journal of Medicine · doi:10.1056/nejm199507273330406 · Cited by 644 · see citing works
Haynes, R. B., McKibbon, K. A., & Kanani, R. S. (1996) · The Lancet · doi:10.1016/s0140-6736(96)01073-2 · Cited by 643 · see citing works
(1923) · Public Health · doi:10.1016/s0033-3506(23)80379-1 · Cited by 459 · see citing works
Chaulk, C. P. (1998) · JAMA · doi:10.1001/jama.279.12.943 · Cited by 272 · see citing works
The TB epidemic from 1992 to 2002
Raviglione, M. C. (2003) · Tuberculosis · doi:10.1016/s1472-9792(02)00071-9 · Cited by 267 · see citing works
Promoting adherence to treatment for tuberculosis: the importance of direct observation.
Frieden, T. R., & Sbarbaro, J. A. (2007) · PubMed · doi:10.2471/06.038927 · Cited by 125 · see citing works
Dixon, W., Stradling, P., & Wootton, I. D. P. (1957) · The Lancet · doi:10.1016/s0140-6736(57)90006-5 · Cited by 122 · see citing works
Tuberculosis Treatment Outcomes
Jasmer, R. M., Seaman, C. B., Jarlsberg, L. G., Kawamura, L. M., Osmond, D. H., & Daley, C. L. (2004) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.200401-095oc · Cited by 103 · see citing works
Supervision of Outpatient Drug Therapy with the Medication Monitor
Moulding, T., ONSTAD, G. D., & SBARBARO, J. A. (1970) · Annals of Internal Medicine · doi:10.7326/0003-4819-73-4-559 · Cited by 91 · see citing works
Promoting adherence to treatment for tuberculosis: the importance of direct observation
Frieden, T. R. (2007) · Bulletin of the World Health Organization · doi:10.2471/blt.06.038927 · Cited by 89 · see citing works
Videophone utilization as an alternative to directly observed therapy for tuberculosis.
Krueger, K., Ruby, D., Cooley, P., Montoya, B., Exarchos, A., Djojonegoro, B. M., & Field, K. J. (2010) · PubMed · Cited by 62 · see citing works
Broomhead, S., & Mars, M. (2012) · Telemedicine and e-Health · doi:10.1089/tmj.2011.0143 · Cited by 61 · see citing works
Reported tuberculosis in the United States, 2004
Armstrong, L., Hart, M., Jeffries, C. D., Magee, E., Manangan, L. P., Miner, C. E., Miramontes, R., Newell, G. T., Pratt, R. H., Winston, C. A., et al. (2005) · Cited by 53 · see citing works
Electronic monitoring of adherence to treatment in the preventive chemotherapy of tuberculosis.
Stubi, C.-L. F., Zellweger, J. P., Sauty, A., Uldry, C., Iorillo, D., & Burnier, M. N. (1998) · PubMed · Cited by 51 · see citing works
(2011) · PubMed · Cited by 38 · see citing works
Self-citationAu-Yeung, K. Y., & DiCarlo, L. A. (2012) · The International Journal of Tuberculosis and Lung Disease · doi:10.5588/ijtld.11.0868 · Cited by 34 · see citing works
Self-citationJuan, G., Lloret, T., Perez, C., López, P. G., Navarro, R., Ramón, M. M. V., Cortijo, J., & Morcillo, E. J. (2006) · PubMed · Cited by 33 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Adherence in Hypertension: A Review of Prevalence, Risk Factors, Impact, and Management
Burnier, M., & Egan, B. M. (2019) · Circulation Research · doi:10.1161/circresaha.118.313220 · Cited by 878 · see citing works
Artificial intelligence biosensors: Challenges and prospects
Jin, X., Liu, C., Xu, T., Su, L., & Zhang, X. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112412 · Cited by 399 · see citing works
A pH-responsive supramolecular polymer gel as an enteric elastomer for use in gastric devices
Zhang, S., Bellinger, A. M., Glettig, D. L., Barman, R. A., Lee, Y. L., Zhu, J., Cleveland, C., Montgomery, V. A., Gu, L., Nash, L. D., et al. (2015) · Nature Materials · doi:10.1038/nmat4355 · Cited by 328 · see citing works
Current Situation of Medication Adherence in Hypertension
Vrijens, B., Antoniou, S., Burnier, M., de la Sierra, A., & Volpe, M. (2017) · Frontiers in Pharmacology · doi:10.3389/fphar.2017.00100 · Cited by 292 · see citing works
Ingestible electronics for diagnostics and therapy
Steiger, C., Abramson, A., Nadeau, P., Chandrakasan, A. P., Langer, R., & Traverso, G. (2018) · Nature Reviews Materials · doi:10.1038/s41578-018-0070-3 · Cited by 278 · see citing works
On-Site Therapeutic Drug Monitoring
Ates, H. C., Roberts, J. A., Lipman, J., Cass, A. E. G., Urban, G. A., & Dincer, C. (2020) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.03.001 · Cited by 267 · see citing works
Subbaraman, R., de Mondesert, L., Musiimenta, A., Pai, M., Mayer, K. H., Thomas, B. E., & Haberer, J. E. (2018) · BMJ Global Health · doi:10.1136/bmjgh-2018-001018 · Cited by 256 · see citing works
Digital medicine's march on chronic disease
Kvedar, J. C., Fogel, A. L., Elenko, E., & Zohar, D. (2016) · Nature Biotechnology · doi:10.1038/nbt.3495 · Cited by 218 · see citing works
Measuring, Analyzing, and Managing Drug Adherence in Resistant Hypertension
Burnier, M., Wuerzner, G., Struijker-Boudier, H., & Urquhart, J. (2013) · Hypertension · doi:10.1161/hypertensionaha.113.00687 · Cited by 229 · see citing works
How 5g wireless (and concomitant technologies) will revolutionize healthcare?
Latif, S., Qadir, J., Farooq, S., & Imran, M. (2017) · Future Internet · doi:10.3390/fi9040093 · Cited by 219 · see citing works
Sustainable Wearables: Wearable Technology for Enhancing the Quality of Human Life
Lee, J., Kim, D., Ryoo, H.-Y., & Shin, B.-S. (2016) · Sustainability · doi:10.3390/su8050466 · Cited by 219 · see citing works
Frias, J., Virdi, N., Raja, P., Kim, Y., Savage, G., & Osterberg, L. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7833 · Cited by 211 · see citing works
Shameer, K., Badgeley, M. A., Miotto, R., Glicksberg, B. S., Morgan, J. W., & Dudley, J. T. (2017) · Briefings in Bioinformatics · doi:10.1093/bib/bbv118 · Cited by 198 · see citing works
Flexible piezoelectric devices for gastrointestinal motility sensing
Dağdeviren, C., Javid, F., Joe, P., von Erlach, T. C., Bensel, T., Wei, Z., Saxton, S. H., Cleveland, C., Booth, L., McDonnell, S., et al. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0140-7 · Cited by 197 · see citing works
Berra, E., Azizi, M., Capron, A., Høieggen, A., Rabbia, F., Kjeldsen, S. E., Staessen, J. A., Wallemacq, P., & Persu, A. (2016) · Hypertension · doi:10.1161/hypertensionaha.116.07464 · Cited by 195 · see citing works
The impact of digital health technologies on tuberculosis treatment: a systematic review
Ngwatu, B., Nsengiyumva, N. P., Oxlade, O., Mappin‐Kasirer, B., Nguyen, N. L., Jaramillo, E., Falzon, D., & Schwartzman, K. (2018) · European Respiratory Journal · doi:10.1183/13993003.01596-2017 · Cited by 174 · see citing works
Vrijens, B., & Heidbüchel, H. (2015) · EP Europace · doi:10.1093/europace/euu311 · Cited by 172 · see citing works
Mason, M., Cho, Y., Rayo, J., Gong, Y., Harris, M. R., & Jiang, Y. (2022) · JMIR mhealth and uhealth · doi:10.2196/35157 · Cited by 168 · see citing works
Robotic wireless capsule endoscopy: recent advances and upcoming technologies
Cao, Q., Deng, R., Pan, Y., Liu, R., Chen, Y., Gong, G., Zou, J. T., Yang, H., & Han, D. (2024) · Nature Communications · doi:10.1038/s41467-024-49019-0 · Cited by 168 · see citing works
Lu, T., Ji, S., Jin, W., Yang, Q., Luo, Q., & Ren, T. (2023) · Sensors · doi:10.3390/s23062991 · Cited by 173 · see citing works
Triggerable tough hydrogels for gastric resident dosage forms
Liu, J., Pang, Y., Zhang, S., Cleveland, C., Yin, X., Booth, L., Lin, J., Lee, Y. L., Mazdiyasni, H., Saxton, S. H., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00144-z · Cited by 160 · see citing works
Methods for Measuring, Enhancing, and Accounting for Medication Adherence in Clinical Trials
Vrijens, B., & Urquhart, J. (2014) · Clinical Pharmacology & Therapeutics · doi:10.1038/clpt.2014.59 · Cited by 142 · see citing works
Spinelli, M. A., Haberer, J. E., Chai, P. R., Castillo‐Mancilla, J., Anderson, P. L., & Gandhi, M. (2020) · Current HIV/AIDS Reports · doi:10.1007/s11904-020-00502-5 · Cited by 136 · see citing works
Drug adherence in hypertension
Burnier, M. (2017) · Pharmacological Research · doi:10.1016/j.phrs.2017.08.015 · Cited by 132 · see citing works
Yaegashi, H., Kirino, S., Remington, G. J., Misawa, F., & Takeuchi, H. (2020) · CNS Drugs · doi:10.1007/s40263-020-00713-9 · Cited by 96 · see citing works
Mahfoud, F., Azizi, M., Ewen, S., Pathak, A., Ukena, C., Blankestijn, P. J., Böhm, M., Burnier, M., Châtellier, G., Durand‐Zaleski, I., et al. (2020) · European Heart Journal · doi:10.1093/eurheartj/ehaa121 · Cited by 95 · see citing works
Browne, S. H., Umlauf, A., Tucker, A. J., Low, J., Moser, K., Garcia, J. G., Peloquin, C. A., Blaschke, T. F., Vaida, F., & Benson, C. A. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1002891 · Cited by 87 · see citing works
Video directly observed therapy for treatment of tuberculosis is patient-oriented and cost-effective
Mirsaeidi, M. S., Farshidpour, M., Banks-Tripp, D., Hashmi, S., Kujoth, C., & Schraufnagel, D. E. (2015) · European Respiratory Journal · doi:10.1183/09031936.00011015 · Cited by 87 · see citing works
mHealth taxonomy: a literature survey of mobile health applications
Olla, P., & Shimskey, C. (2015) · Health and Technology · doi:10.1007/s12553-014-0093-8 · Cited by 84 · see citing works
Mukherjee, S., Suleman, S., Pilloton, R., Narang, J., & Rani, K. (2022) · Sensors · doi:10.3390/s22114228 · Cited by 85 · see citing works
How to Screen for Non-Adherence to Antihypertensive Therapy
Gupta, P., Patel, P., Horne, R., Buchanan, H., Williams, B., & Tomaszewski, M. (2016) · Current Hypertension Reports · doi:10.1007/s11906-016-0697-7 · Cited by 84 · see citing works
Hameed, M. A., Tebbit, L., Jacques, N., Thomas, M., & Dasgupta, I. (2015) · Journal of Human Hypertension · doi:10.1038/jhh.2015.38 · Cited by 82 · see citing works
Byrom, B., Watson, C., Doll, H., Coons, S. J., Eremenco, S. L., Ballinger, R., Carthy, M. M., Crescioni, M., O’Donohoe, P., & Howry, C. (2017) · Value in Health · doi:10.1016/j.jval.2017.09.012 · Cited by 81 · see citing works
Burnier, M. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2018.01540 · Cited by 78 · see citing works
Min, J., Yang, Y., Wu, Z., & Gao, W. F. (2019) · Advanced Therapeutics · doi:10.1002/adtp.201900125 · Cited by 74 · see citing works
Smart pills for gastrointestinal diagnostics and therapy
Cummins, G. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2021.113931 · Cited by 73 · see citing works
Ingestible transiently anchoring electronics for microstimulation and conductive signaling
Abramson, A., Dellal, D., Kong, Y. L., Zhou, J., Gao, Y., Collins, J. E., Tamang, S. M., Wainer, J., McManus, R., Hayward, A. M., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz0127 · Cited by 72 · see citing works
Adherence to medication and drug monitoring in apparent treatment-resistant hypertension
Eskås, P. A., Heimark, S., Mariampillai, J. E., Larstorp, A. C. K., Elmula, F. E. M. F., & Høieggen, A. (2016) · Blood Pressure · doi:10.3109/08037051.2015.1121706 · Cited by 70 · see citing works
Utilizing an Ingestible Biosensor to Assess Real-Time Medication Adherence
Chai, P. R., Castillo‐Mancilla, J., Buffkin, E., Darling, C. E., Rosen, R. K., Horvath, K. J., Boudreaux, E. D., Robbins, G. K., Hibberd, P. L., & Boyer, E. W. (2015) · Journal of Medical Toxicology · doi:10.1007/s13181-015-0494-8 · Cited by 70 · see citing works
Thwaites, P. A., Yao, C. K., Halmos, E. P., Muir, J. G., Burgell, R., Berean, K. J., Kalantar‐Zadeh, K., & Gibson, P. R. (2024) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.17844 · Cited by 65 · see citing works
Telemedicine Technologies and Tuberculosis Management: A Randomized Controlled Trial
Guo, P., Qiao, W., Sun, Y. J., Liu, F., & Wang, C. (2019) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2019.0190 · Cited by 60 · see citing works
A Survey of Mobile Phone Sensing, Self-Reporting, and Social Sharing for Pervasive Healthcare
Triantafyllidis, A. K., Velardo, C., Salvi, D., Shah, S. A., Koutkias, V. G., & Tarassenko, L. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2483902 · Cited by 59 · see citing works
Medication adherence and treatment-resistant hypertension: a review
Hameed, M. A., & Dasgupta, I. (2019) · Drugs in Context · doi:10.7573/dic.212560 · Cited by 58 · see citing works
Kumar, A. A., Costa, A. D., Das, A., Srinivasa, G., D′Souza, G., & Rodrigues, R. (2019) · JMIR mhealth and uhealth · doi:10.2196/11687 · Cited by 58 · see citing works
How the EMERGE guideline on medication adherence can improve the quality of clinical trials
Eliasson, L., Clifford, S., Mulick, A. R., Jackson, C., & Vrijens, B. (2020) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14240 · Cited by 55 · see citing works
Digital pills: a scoping review of the empirical literature and analysis of the ethical aspects
Martani, A., Geneviève, L. D., Poppe, C. J., Casonato, C., & Wangmo, T. (2020) · BMC Medical Ethics · doi:10.1186/s12910-019-0443-1 · Cited by 52 · see citing works
99DOTS: a low-cost approach to monitoring and improving medication adherence
Cross, A., Gupta, N., Liu, B., Nair, V., Kumar, A., Kuttan, R., Ivatury, P., Chen, A. Z., Lakshman, K., Rodrigues, R., et al. (2019) · International Conference on Information and Communication Technologies and Development · doi:10.1145/3287098.3287102 · Cited by 62 · see citing works
How do we measure adherence to anti-tuberculosis treatment?
Valencia, S., León‐García, M., Losada, I., Sequera, G., Fernández-Quevedo, M., & García‐Basteiro, A. L. (2016) · Expert Review of Anti-infective Therapy · doi:10.1080/14787210.2017.1264270 · Cited by 51 · see citing works
Wearable biomolecular sensing nanotechnologies in chronic disease management
Tu, J., Flynn, C. D., Yeom, J., Wu, Z., Kelley, S. O., & Gao, W. F. (2025) · Nature Nanotechnology · doi:10.1038/s41565-025-02010-2 · Cited by 52 · see citing works
Oxycodone Ingestion Patterns in Acute Fracture Pain With Digital Pills
Chai, P. R., Carreiro, S., Innes, B. J., Chapman, B. P., Schreiber, K. L., Edwards, R. R., Carrico, A. W., & Boyer, E. W. (2017) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000002574 · Cited by 48 · see citing works
Ingestible Biosensors for Real-Time Medical Adherence Monitoring: MyTMed
Chai, P. R., Rosen, R. K., & Boyer, E. W. (2016) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2016.426 · Cited by 47 · see citing works
Ingestible devices for long-term gastrointestinal residency: a review
Mau, M. M., Sarker, S., & Terry, B. S. (2021) · Progress in Biomedical Engineering · doi:10.1088/2516-1091/ac1731 · Cited by 45 · see citing works
Liu, A., Laborde, N. D., Coleman, K., Vittinghoff, E., Gonzalez, R., Wilde, G., Thorne, A. L., Ikeguchi, E., Shafner, L., Sunshine, L., et al. (2020) · AIDS and Behavior · doi:10.1007/s10461-020-03054-2 · Cited by 44 · see citing works
Miley, D., Machado, L. B., Condo, C., Jergens, A. E., Yoon, K. J., & Pandey, S. (2021) · Advanced Devices & Instrumentation · doi:10.34133/2021/9854040 · Cited by 46 · see citing works
Davies, M. J., KOTADIA, A., MUGHAL, H., HANNAN, A., & ALQARNI, H. (2015) · Pharmacy Practice · doi:10.18549/pharmpract.2015.04.644 · Cited by 41 · see citing works
Seminars in Clinical Psychopharmacology
King, D. J., & Royal College of Psychiatrists (London) (2020) · Cambridge University Press eBooks · doi:10.1017/9781911623465 · Cited by 41 · see citing works
Witte, A.-K., & Zarnekow, R. (2019) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2019.466 · Cited by 37 · see citing works
Ingestible electronic sensors to measure instantaneous medication adherence: A narrative review
Chai, P. R., Vaz, C., Goodman, G. R., Albrechta, H., Huang, H., Rosen, R. K., Boyer, E. W., Mayer, K. H., & O’Cleirigh, C. M. (2022) · Digital Health · doi:10.1177/20552076221083119 · Cited by 37 · see citing works
Li, Z., Brandmueller, F., Mueller, F., & Greuter, S. (2017) · Annual Symposium on Computer-Human Interaction in Play · doi:10.1145/3130859.3131312 · Cited by 35 · see citing works
Adherence is associated with a favorable outcome after lung transplantation
Bertram, A., Fuge, J., Suhling, H., Tudorache, I., Haverich, A., Welte, T., & Gottlieb, J. (2019) · PLoS ONE · doi:10.1371/journal.pone.0226167 · Cited by 34 · see citing works
“Ingestible sensors combined with or embedded in tablets may accurately determine taking adherence[23,24].”
BackgroundThermoresponsive Gelatin/Chitosan Hydrogel Films for a Degradable Capacitor
Fukada, K., Tajima, T., & Seyama, M. (2021) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.1c14905 · Cited by 30 · see citing works
Zary, M., Mohamed, M. S., Kafie, C., Chilala, C. I., Bahukudumbi, S., Foster, N., Gore, G. C., Fielding, K., Subbaraman, R., & Schwartzman, K. (2024) · BMJ Global Health · doi:10.1136/bmjgh-2024-015633 · Cited by 29 · see citing works
An Ingestible Electronics for Continuous and Real-Time Intraabdominal Pressure Monitoring
Liao, C., Cheng, C., Chen, C.-C., Jow, U.-M., Chen, C., Lai, Y.-L., Chen, Y.-C., & Ho, D. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm11010012 · Cited by 29 · see citing works
Design and conduct of confirmatory chronic pain clinical trials
Katz, N. P. (2020) · PAIN Reports · doi:10.1097/pr9.0000000000000854 · Cited by 30 · see citing works
Bittner, B., Chiesi, C. S., Kharawala, S., Kaur, G., & Schmidt, J. (2019) · Medical Devices Evidence and Research · doi:10.2147/mder.s198943 · Cited by 25 · see citing works
Rabinovich, L., Molton, J., Ooi, W. T., Paton, N., Batra, S., & Yoong, J. (2020) · Journal of Medical Internet Research · doi:10.2196/16856 · Cited by 25 · see citing works
Miniaturized Electronic Circuit Design Challenges for Ingestible Devices
Helleputte, N. V., Even, A. J. G., Leonardi, F., Stanzione, S., Song, M., Garripoli, C., Sijbers, W., Liu, Y., & Hoof, C. A. V. (2020) · Journal of Microelectromechanical Systems · doi:10.1109/jmems.2020.3006580 · Cited by 25 · see citing works
Bell, K. M., & Haberer, J. E. (2018) · Current HIV/AIDS Reports · doi:10.1007/s11904-018-0413-0 · Cited by 23 · see citing works
Adherence to antihypertensive therapy and therapeutic dosage of antihypertensive drugs
Rabbia, F., Fulcheri, C., Monaco, S. D., Covella, M., Perlo, E., Pappaccogli, M., & Veglio, F. (2016) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-016-0158-z · Cited by 23 · see citing works
Barriers to translating continuous monitoring technologies for preventative medicine
Chen, J., Jastrzebska‐Perfect, P., Chai, P. R., Say, M. G., Tu, J., Gao, W. F., Halperin, F., Korzenik, J., Huang, H., Katabi, D., et al. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01520-7 · Cited by 25 · see citing works
Pruette, C. S., Coburn, S. S., Eaton, C. K., Brady, T. M., Tuchman, S., Mendley, S. R., Fivush, B. A., Eakin, M. N., & Riekert, K. A. (2018) · Pediatric Nephrology · doi:10.1007/s00467-018-4044-x · Cited by 22 · see citing works
Santé digitale : promesses, défis et craintes. Une revue de la littérature
Carral, M. D. R., Roux, P., Bruchez, C., & Santiago-Delefosse, M. J. (2016) · Pratiques Psychologiques · doi:10.1016/j.prps.2016.06.004 · Cited by 21 · see citing works
Hurtado‐de‐Mendoza, A., Cabling, M. L., & Sheppard, V. B. (2015) · Nursing Inquiry · doi:10.1111/nin.12101 · Cited by 21 · see citing works
New Opportunities for Digital Health to Thrive
Klonoff, D. C., King, F., & Kerr, D. E. (2019) · Journal of Diabetes Science and Technology · doi:10.1177/1932296818822215 · Cited by 20 · see citing works
Developing a Digital Medicine System in Psychiatry: Ingestion Detection Rate and Latency Period
Profit, D., Rohatagi, S., Zhao, C., Hatch, A., Docherty, J. P., & Peters-Strickland, T. S. (2016) · The Journal of Clinical Psychiatry · doi:10.4088/jcp.16m10643 · Cited by 24 · see citing works
Tibble, H., Flook, M., Sheikh, A., Tsanas, A., Horne, R., Vrijens, B., Geest, S. D., & Stagg, H. R. (2020) · British Journal of Clinical Pharmacology · doi:10.1111/bcp.14458 · Cited by 22 · see citing works
Review of glaucoma medication adherence monitoring in the digital health era
Erras, A., Shahrvini, B., Weinreb, R. N., & Baxter, S. L. (2021) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2020-317918 · Cited by 19 · see citing works
Carreiro, S., Chai, P. R., Carey, J., Chapman, B. P., & Boyer, E. W. (2017) · Journal of Medical Toxicology · doi:10.1007/s13181-017-0611-y · Cited by 19 · see citing works
Chai, P. R., Mohamed, Y., Goodman, G. R., Bustamante, M. J., Sullivan, M. C., Najarro, J., Mendez, L., Mayer, K. H., Boyer, E. W., O’Cleirigh, C. M., et al. (2021) · Translational Behavioral Medicine · doi:10.1093/tbm/ibab117 · Cited by 19 · see citing works
Ellis, R. J. B., Hill, J. H., Kerley, K. D., Sinha, A. D., Ganci, A., & Russell, C. L. (2019) · JMIR Formative Research · doi:10.2196/13558 · Cited by 18 · see citing works
Blumenthal, J. S., & Haubrich, R. (2013) · Expert Opinion on Pharmacotherapy · doi:10.1517/14656566.2013.812072 · Cited by 18 · see citing works
Daar, E. S., Rosen, M. I., Wang, Y., Siqueiros, L., Shen, J., Guerrero, M., Xiong, D., Dao, J., Young, T., Corado, K., et al. (2019) · Clinical and Translational Science · doi:10.1111/cts.12701 · Cited by 18 · see citing works
Kamal, S., Rosen, M. I., Lazar, C. M., Siqueiros, L., Wang, Y., Daar, E. S., & Liu, H. (2020) · AIDS Research and Treatment · doi:10.1155/2020/1098109 · Cited by 17 · see citing works
Iribarren, S., Milligan, H., Goodwin, K., Vidrio, O. A. A., Chirico, C., Telles, H., Morelli, D., Lutz, B. R., Sprecher, J., & Rubinstein, F. (2021) · JMIR Research Protocols · doi:10.2196/28094 · Cited by 17 · see citing works
Toward digital-based interventions for medication adherence and safety
Haga, S. B. (2020) · Expert Opinion on Drug Safety · doi:10.1080/14740338.2020.1764935 · Cited by 18 · see citing works
Chilala, C. I., Foster, N., Bahukudumbi, S., Mohamed, M. S., Zary, M., Kafie, C., Patel, B., Gore, G. C., Schwartzman, K., Subbaraman, R., et al. (2025) · BMJ Global Health · doi:10.1136/bmjgh-2024-016535 · Cited by 15 · see citing works
Dietary counseling adherence during tuberculosis treatment: A longitudinal study
Bacelo, A. C., do Brasil, P. E. A. A., Rodrigues, C. D. S. C., Georg, I., Paiva, E. D. S., Ramalho, A., & Rolla, V. C. (2017) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2016.11.001 · Cited by 16 · see citing works
Advances in implantable capsule robots for monitoring and treatment of gastrointestinal diseases
Wang, X., Xu, H., Ren, Y., Yuan, Y., Deng, F., Gao, W. D., Lou, Z., Song, X., Guo, H., Han, W., et al. (2025) · Materials Science and Engineering R Reports · doi:10.1016/j.mser.2025.100943 · Cited by 15 · see citing works
Bahukudumbi, S., Chilala, C. I., Foster, N., Patel, B., Mohamed, M. S., Zary, M., Kafie, C., Gore, G. C., Schwartzman, K., Fielding, K., et al. (2025) · BMJ Global Health · doi:10.1136/bmjgh-2024-016608 · Cited by 14 · see citing works
Intelligent tattoos, patches, and other wearable biosensors
Zhu, X., Liu, W., Shuang, S., Nair, M., & Li, C.-Z. (2016) · Elsevier eBooks · doi:10.1016/b978-0-08-100072-4.00006-x · Cited by 14 · see citing works
Management of hypertension in the digital era: Perspectives and future directions
Fujiwara, T., McManus, R. J., & Kario, K. (2022) · Hipertensión y Riesgo Vascular · doi:10.1016/j.hipert.2022.01.004 · Cited by 15 · see citing works
Adherence to medication in stroke survivors dependent on caregivers
Simoni, A. D., Mant, J., & Sutton, S. R. (2015) · British Journal of General Practice · doi:10.3399/bjgp15x687589 · Cited by 13 · see citing works
Jose, N. K., Vaz, C., Chai, P. R., & Rodrigues, R. (2022) · JMIR Formative Research · doi:10.2196/37124 · Cited by 13 · see citing works
Fukada, K., Tajima, T., & Seyama, M. (2022) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.2c12380 · Cited by 13 · see citing works
Fukada, K., Tajima, T., & Seyama, M. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202200830 · Cited by 13 · see citing works
Medication management initiatives using wearable devices: scoping review
Iino, H., Kizaki, H., Imai, S., & Hori, S. (2024) · JMIR Human Factors · doi:10.2196/57652 · Cited by 12 · see citing works
Digital Medicine: Innovative Drug-Device Combination as New Measure of Medication Adherence
Vallejos, X., & Wu, C. X. (2017) · Journal of Pharmacy Technology · doi:10.1177/8755122517704212 · Cited by 12 · see citing works
Milligan, H., Iribarren, S., Chirico, C., Telles, H., & Schnall, R. (2021) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2021.104421 · Cited by 12 · see citing works
Formative acceptance of ingestible biosensors to measure adherence to TB medications
Vaz, C., Jose, N. K., Tom, J. J., Goodman, G. R., Lee, J. S., Padappayil, R. P., Madathil, M., O’Cleirigh, C. M., Rodrigues, R., & Chai, P. R. (2022) · BMC Infectious Diseases · doi:10.1186/s12879-022-07756-x · Cited by 13 · see citing works
Hurtado‐de‐Mendoza, A., Cabling, M. L., Dilawari, A. A., Turner, J. W., Fernández, N. C., Henderson, A., Zhu, Q., Gómez‐Trillos, S., & Sheppard, V. B. (2018) · Health and Technology · doi:10.1007/s12553-018-0267-x · Cited by 11 · see citing works
- Authors
- Belknap, R., Weis, S., Brookens, A., Au-Yeung, K. Y., Moon, G., DiCarlo, L., & Reves, R.
- Affiliations
- Denver Public Health (US)
- University of Washington (US)
- Proteus Digital Health (US)
- Corresponding author
- Belknap, Robert
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2013-01-07
- Volume
- 8
- Issue
- 1
- Pages
- e53373
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC3538759
- OpenAlex
- W1988611386
- Cited by
- 160
- References
- 18
- Citations by year
- 2026: 5 · 2025: 10 · 2024: 7 · 2023: 6 · 2022: 20 · 2021: 12 · 2020: 22 · 2019: 16 · 2018: 11 · 2017: 19 · 2016: 18 · 2015: 11 · 2014: 1 · 2013: 2
- FWCI
- 9.05
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- tuberculosis, medication adherence, ingestible sensors, directly observed therapy, wearable sensors, detection accuracy, adverse events, body mass index
- MeSH terms
- Administration, Oral, Adult, Aged, Antitubercular Agents, Drug Administration Schedule, Feasibility Studies, Female, Humans, Male, Middle Aged, Prospective Studies, Public Health, Sensitivity and Specificity, Tuberculosis, Pulmonary, Biosensing Techniques, Body Mass Index, Drug Monitoring, Directly Observed Therapy, Medication Adherence
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review