Wearable fitness tracker use in federally qualified health center patients: strategies to improve the health of all of us using digital health devices.
Open accessAbstract
As the use of connected devices rises, an understanding of how digital health technologies can be used for equitable healthcare across diverse communities is needed. We surveyed 1007 adult patients at six Federally Qualified Health Centers regarding wearable fitness trackers. Findings indicate the majority interest in having fitness trackers. Barriers included cost and lack of information, revealing that broad digital health device adoption requires education, investment, and high-touch methods.
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.
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
The “All of Us” Research Program
The All of Us Research Program Investigators (2019) · New England Journal of Medicine · doi:10.1056/nejmsr1809937 · Cited by 2,440 · see citing works
The “All of Us” Research Program
Sullivan, F., McKinstry, B., & Vasishta, S. (2019) · New England Journal of Medicine · doi:10.1056/nejmc1912496 · Cited by 855 · see citing works
Digital inclusion as a social determinant of health
Sieck, C. J., Sheon, A., Ancker, J. S., Castek, J., Callahan, B., & Siefer, A. (2021) · npj Digital Medicine · doi:10.1038/s41746-021-00413-8 · Cited by 597 · see citing works
Sim, I. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1806949 · Cited by 491 · see citing works
Chandrasekaran, R., Katthula, V., & Moustakas, E. (2020) · Journal of Medical Internet Research · doi:10.2196/22443 · Cited by 291 · see citing works
Diversity and inclusion for the All of Us research program: A scoping review
Mapes, B. M., Foster, C. S., Kusnoor, S. V., Epelbaum, M. I., AuYoung, M., Jenkins, G., Lopez-Class, M., Richardson-Heron, D., Elmi, A., Surkan, K., et al. (2020) · PLOS ONE · doi:10.1371/journal.pone.0234962 · Cited by 273 · see citing works
Hirten, R. P., Danieletto, M., Tomalin, L. E., Choi, K. H., Zweig, M., Golden, E., Kaur, S., Helmus, D. S., Biello, A., Pyzik, R., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/26107 · Cited by 161 · see citing works
Digital Health Information Disparities in Older Adults: a Mixed Methods Study
Tappen, R. M., Cooley, M. E., Luckmann, R., & Panday, S. (2021) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-020-00931-3 · Cited by 117 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Yang, R., Gao, S., & Jiang, Y. (2024) · BMC Geriatrics · doi:10.1186/s12877-024-05612-y · Cited by 130 · see citing works
2025 ACSM Worldwide Fitness Trends: Future Directions of the Health and Fitness Industry
Newsome, A. M., Batrakoulis, A., Camhi, S. M., McAvoy, C. R., Sansone, J., Reed, R., & Contributors: (2024) · ACSMʼs Health & Fitness Journal · doi:10.1249/fit.0000000000001017 · Cited by 105 · see citing works
Patterns of Ownership and Usage of Wearable Devices in the United States, 2020-2022: Survey Study
Nagappan, A., Krasniansky, A., & Knowles, M. (2024) · Journal of Medical Internet Research · doi:10.2196/56504 · Cited by 66 · see citing works
Wearable devices—addressing bias and inequity
Zinzuwadia, A., & Singh, J. P. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00194-7 · Cited by 58 · see citing works
Chandrasekaran, R., Muhammed Sadiq, T., & Moustakas, E. (2025) · Journal of Medical Internet Research · doi:10.2196/63879 · Cited by 59 · see citing works
Kim, E. H., Jenness, J. L., Miller, A. B., Halabi, R., de Zambotti, M., Bagot, K. S., Baker, F. C., & Pratap, A. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.5681 · Cited by 53 · see citing works
Hernandez, M. F., & Rodríguez, F. (2022) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-022-00711-0 · Cited by 49 · see citing works
Challenges and standardisation strategies for sensor-based data collection for digital phenotyping
Alam, N. B., Surani, M., Das, C. K., Giacco, D., Singh, S. P., & Jilka, S. (2025) · Communications Medicine · doi:10.1038/s43856-025-01013-3 · Cited by 41 · see citing works
Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective
Hicks, J. L., Boswell, M. A., Althoff, T., Crum, A. J., Ku, J. P., Landay, J. A., Moya, P. M. L., Murnane, E. L., Snyder, M. P., King, A. C., et al. (2022) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-060220-041643 · Cited by 43 · see citing works
The Importance of Data Quality Control in Using Fitbit Device Data From the Research Program
Lederer, L. E., Breton, A., Jeong, H., Master, H., Roghanizad, A. R., & Dunn, J. (2023) · JMIR mhealth and uhealth · doi:10.2196/45103 · Cited by 41 · see citing works
Developing a Smartwatch-Based Healthcare Application: Notes to Consider
Ramezani, R., Cao, M., Earthperson, A., & Naeim, A. (2023) · Sensors · doi:10.3390/s23156652 · Cited by 36 · see citing works
Mobile health technology and empowerment
Kreitmair, K. (2023) · Bioethics · doi:10.1111/bioe.13157 · Cited by 34 · see citing works
Depression Recognition Using Daily Wearable-Derived Physiological Data
Shui, X., Xu, H. J., Tan, S., & Zhang, D. (2025) · Sensors · doi:10.3390/s25020567 · Cited by 35 · see citing works
Promoting racial equity in digital health: applying a cross-disciplinary equity framework
Raza, M. M., Venkatesh, K. P., & Kvedar, J. C. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00747-5 · Cited by 30 · see citing works
Kim, D. S., Eltahir, A. A., Ngo, S., & Rodríguez, F. (2024) · Current Atherosclerosis Reports · doi:10.1007/s11883-024-01249-9 · Cited by 22 · see citing works
EquityWare: Co-Designing Wearables With And For Low Income Communities In The U.S.
Cruz, S., Redding, A., Chau, C. W., Lu, C., Persche, J., Hester, J. D., & Jacobs, M. L. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580980 · Cited by 24 · see citing works
Wearable Technologies and Stress: Toward an Ethically Grounded Approach
Canali, S., Marchi, B. D., & Aliverti, A. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20186737 · Cited by 21 · see citing works
Materia, F. T., & Smyth, J. M. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100702 · Cited by 20 · see citing works
Caserman, P., Yum, S., Göbel, S. P., Reif, A., & Matura, S. (2024) · JMIR Biomedical Engineering · doi:10.2196/59459 · Cited by 22 · see citing works
Bryan, A. C., Heinz, M. V., Salzhauer, A. J., Price, G. D., Tlachac, M., & Jacobson, N. C. (2024) · Biomedical Materials & Devices · doi:10.1007/s44174-023-00150-4 · Cited by 20 · see citing works
Karas, M., Olsen, J. M., Strączkiewicz, M., Johnson, S. A., Burke, K. M., Iwasaki, S., Lahav, A., Scheier, Z. A., Clark, A., Iyer, A. S., et al. (2024) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.52050 · Cited by 18 · see citing works
Using New Technologies and Wearables for Characterizing Sleep in Population-based Studies
Jaiswal, S. J., Pawelek, J., Warshawsky, S., Quer, G., Trieu, M., Pandit, J. A., & Owens, R. L. (2024) · Current Sleep Medicine Reports · doi:10.1007/s40675-023-00272-7 · Cited by 16 · see citing works
Commentary: Is Wearable Fitness Technology a Medically Approved Device? Yes and No
Scheid, J. L., Reed, J. L., & West, S. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20136230 · Cited by 17 · see citing works
Association of Daily Step Count and Postoperative Complication among All of Us Research Participants
Gehl, C. J., Verhagen, N. B., Shaik, T., Nimmer, K. F., Yang, X., Xing, Y., Taylor, B. W., Nataliansyah, M. M., Kerns, S. L., & Kothari, A. N. (2024) · Journal of the American College of Surgeons · doi:10.1097/xcs.0000000000001136 · Cited by 15 · see citing works
Nemane, S. G., Sarad, V. M., Tulaskar, D. P., Marode, T. P., Bhangdiya, V. K., Agrawal, L., Avthankar, A., Kondylakis, H., Kulkarni, M. B., Bhaiyya, M. L., et al. (2026) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-026-10629-0 · Cited by 13 · see citing works
The role of digital technology in surgical home hospital programs
Pathak, K., Marwaha, J. S., & Tsai, T. C. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00750-w · Cited by 13 · see citing works
Computation Cost-Driven Offloading Strategy Based on Reinforcement Learning for Consumer Devices
Zhang, R., Xia, H., Chen, Z., Kang, Z. H., Wang, K., & Gao, W. J. (2024) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2024.3357459 · Cited by 12 · see citing works
Accuracy of Wearable Heart Rate Monitors During Exercise in Sinus Rhythm and Atrial Fibrillation
Quinn, R., Leader, N., Lebovic, G., Chow, C.-M., & Dorian, P. (2024) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2024.01.024 · Cited by 12 · see citing works
Largent, E. A., Karlawish, J. H., & Wexler, A. (2024) · BMC Digital Health · doi:10.1186/s44247-024-00098-5 · Cited by 11 · see citing works
Longitudinal analysis of heart rate and physical activity collected from smartwatches
Karimi, F., Amoozgar, Z., Reiazi, R., Hosseinzadeh, M., & Rawassizadeh, R. (2024) · CCF Transactions on Pervasive Computing and Interaction · doi:10.1007/s42486-024-00147-y · Cited by 11 · see citing works
Socioeconomic Class in Physical Activity Wearables Research and Design
Kouaho, W.-J., & Epstein, D. A. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642789 · Cited by 11 · see citing works
Cruz, S., Lu, C., Ulloa, M., Redding, A., Hester, J. D., & Jacobs, M. L. (2024) · JMIR mhealth and uhealth · doi:10.2196/50826 · Cited by 11 · see citing works
Kerstiens, S., Bender, E. M., Rizzo, M. G., Landi, A., Gleason, L. J., Huisingh-Scheetz, M. J., Rubin, D. S., Ferguson, M. K., & Madariaga, M. L. L. (2023) · Digital Health · doi:10.1177/20552076231203957 · Cited by 9 · see citing works
Impact of Digital Health Interventions on Birth Equity: A Review
Malloy, S. M. (2024) · Seminars in Reproductive Medicine · doi:10.1055/s-0044-1791206 · Cited by 10 · see citing works
Stein, M., Stegherr, R., Narayanaswami, P., Legg, D., Herdick, M. L., Meisel, A., Gerischer, L. M., & Lehnerer, S. (2024) · JMIR Formative Research · doi:10.2196/58266 · Cited by 9 · see citing works
The All of Us Research Program’s wearables dataset
Patten, T., Preble, E. A., Master, H., Adjemian, J., Ramirez, A. H., McClain, J. J., & Price, A. R. (2026) · Nature Medicine · doi:10.1038/s41591-026-04352-3 · Cited by 11 · see citing works
Kini, S., Duluk, D., & Weinstein, J. (2023) · Frontiers in Digital Health · doi:10.3389/fdgth.2022.1082098 · Cited by 10 · see citing works
Lang, A.-L., Bruhn, R.-L., Fehling, M., Heidenreich, A., Reisdorf, J., Khanyaree, I., Henningsen, M., & Remschmidt, C. (2024) · JMIR mhealth and uhealth · doi:10.2196/50135 · Cited by 8 · see citing works
Unsupervised Exercise in Interstitial Lung Disease
Child, C. E., Ho, L. A., Lachant, D. J., Gupta, N., Moss, J., Jones, A. D., Krishna, R., Holland, A. E., Han, M. K., McCarthy, C., et al. (2024) · CHEST Journal · doi:10.1016/j.chest.2024.06.3803 · Cited by 7 · see citing works
Overcoming biases of individual level shopping history data in health research
Skatova, A. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01231-4 · Cited by 7 · see citing works
Nagarajan, V., Shashikumar, S. P., Malhotra, A., Nemati, S., & Wardi, G. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae242 · Cited by 7 · see citing works
Investigating Perspectives of and Experiences with Low Cost Commercial Fitness Wearables
Kouaho, W.-J., & Epstein, D. A. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3699740 · Cited by 6 · see citing works
Kress, M., Lenze, N. R., Kazemi, R. J., Ikeda, A. K., Vijayakumar, P., Goldstein, C. A., Stanley, J. J., Brenner, M. J., & Hoff, P. T. (2025) · Sleep Medicine · doi:10.1016/j.sleep.2025.02.004 · Cited by 6 · see citing works
Soley, N., Rattsev, I., Speed, T. J., Xie, A., Ferryman, K., & Taylor, C. O. (2025) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocaf053 · Cited by 6 · see citing works
How Fitbit data are being made available to registered researchers in All of Us Research Program
Master, H., Kouame, A., Marginean, K., Basford, M., Harris, P. A., & Holko, M. (2022) · Pacific Symposium on Biocomputing (PSB) · doi:10.1142/9789811270611_0003 · Cited by 6 · see citing works
Self-citationEjezie, C. L., Choi, J., Ayieko, S. A., Burgoa, S., Zerrouki, Y., Lobaina, D., Okwaraji, G., Defeu, S., & Sacca, L. (2024) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-024-01958-6 · Cited by 5 · see citing works
A health-equity framework for tailoring digital non-pharmacological interventions in aging
Turnbull, A. G., Odden, M. C., Gould, C. E., Adeli, E., Kaplan, R. M., & Lin, F. V. (2024) · Nature Mental Health · doi:10.1038/s44220-024-00347-6 · Cited by 5 · see citing works
Esmaeilpour, Z., Natarajan, A., Su, H.-W., Faranesh, A. Z., Friel, C. P., Zanos, T. P., D’Angelo, S., & Heneghan, C. (2024) · JMIR Formative Research · doi:10.2196/53716 · Cited by 5 · see citing works
Botonis, O. K., Mendley, J., Aalla, S., Veit, N. C., Fanton, M., Lee, J. Y., Tripathi, V., Pandi, V., Khobragade, A., Chaudhary, S. K., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01287-2 · Cited by 6 · see citing works
GÜNDOĞDU, S., & Erkek, S. (2022) · Selçuk Üniversitesi Sosyal Bilimler Meslek Yüksekokulu dergisi · doi:10.29249/selcuksbmyd.1166357 · Cited by 4 · see citing works
Le, V. N. D., Fronckowiak, S., & Badolato, E. (2025) · Sensors · doi:10.3390/s25072311 · Cited by 4 · see citing works
Digital Divide in the Rural Healthcare Market in the United States: Health Equity and Inclusiveness
Kim, S., & Kwon, I. G. (2022) · International Journal of Business and Management · doi:10.5539/ijbm.v17n7p1 · Cited by 4 · see citing works
Pálsdóttir, Á. (2024) · Information Research · doi:10.47989/ir292841 · Cited by 3 · see citing works
Chaturvedi, R. R., Angrisani, M., Troxel, W., Jain, M., Gutsche, T., Ortega, E., Boch, A., Liang, C., Sima, S., Mezlini, A. M., et al. (2025) · PNAS Nexus · doi:10.1093/pnasnexus/pgaf295 · Cited by 3 · see citing works
Hurwitz, E. G., Meltzer-Brody, S. E., Butzin-Dozier, Z., Patel, R. C., Elhadad, N., & Haendel, M. A. (2025) · JMIR Formative Research · doi:10.2196/67585 · Cited by 4 · see citing works
Wang, B., Gong, R., & Huang, R. (2026) · Digital Health · doi:10.1177/20552076261450604 · Cited by 2 · see citing works
Wish or Truth: Can Digital Interventions Stop the Obesity Crisis?
Portius, D. (2024) · Management for professionals · doi:10.1007/978-3-031-47768-3_8 · Cited by 2 · see citing works
Wanigatunga, A. A., Liu, F., Dougherty, R. J., Roche, K. B., Urbanek, J. K., Zampino, M., Simonsick, E. M., Tian, Q., Schrack, J. A., & Ferrucci, L. (2024) · GeroScience · doi:10.1007/s11357-024-01212-1 · Cited by 3 · see citing works
The Future of Devices in Digital Businesses and Improving Productivity
Parviznejad, P. S. (2023) · Advances in e-business research series · doi:10.4018/979-8-3693-0210-1.ch002 · Cited by 2 · see citing works
Hurwitz, E. G., Meltzer-Brody, S. E., Butzin-Dozier, Z., Patel, R. C., Elhadad, N., & Haendel, M. A. (2024) · medRxiv · doi:10.1101/2024.10.07.24315026 · Cited by 2 · see citing works
Hurwitz, E. G., Connelly, E., Sklerov, M., Master, H., Hochheiser, H., Butzin-Dozier, Z., Dunn, J., & Haendel, M. A. (2026) · medRxiv · doi:10.64898/2026.03.06.26347799 · Cited by 1 · see citing works
Siddiqui, M. A., Baskın, E., & Çolak, M. Y. (2025) · Clinical Pediatrics · doi:10.1177/00099228251348694 · Cited by 1 · see citing works
Wearable device adoption and its role in healthcare management: A cross-sectional study
Mohammed, R., Khan, J., & Khan, S.-U.-D. (2025) · Journal of Health Science Research · doi:10.25259/jhsr_47_2025 · Cited by 1 · see citing works
Evidence-based medicine and the promises and limits of digital health and wearable technology
Canali, S., Schiaffonati, V., & Aliverti, A. (2026) · Studies in History and Philosophy of Science Part A · doi:10.1016/j.shpsa.2025.102097 · Cited by 1 · see citing works
Mobley, K., Gittner, K. B., Nielsen, K. E., Matheny, L. M., Taasoobshirazi, G., Natuhamya, C., & Swahn, M. H. (2026) · JMIR mhealth and uhealth · doi:10.2196/81123 · Cited by 1 · see citing works
Wearable Devices and Brain-Computer Interfaces for User Modelling (WeBIUM)
Colafiglio, T., Noia, T. D., Lofù, D., Lombardi, A., Narducci, F., & Sorino, P. (2024) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3631700.3658529 · Cited by 1 · see citing works
Considerations while using Fitbit Data in the All of Us Research Program: Tutorial (Preprint)Preprint
Lederer, L. E., Breton, A., Jeong, H., Master, H., Roghanizad, A. R., & Dunn, J. (2022) · doi:10.2196/preprints.45103 · Cited by 1 · see citing works
Reproducible biomarkers: Leveraging nonlinear descriptors in the face of non-ergodicityPreprint
Mangalam, M., Sadri, A., Hayano, J., Watanabe, E., Kiyono, K., & Kelty-Stephen, D. G. (2023) · arXiv.org · doi:10.48550/arxiv.2305.06954
Stein, M., Stegherr, R., Narayanaswami, P., Legg, D., Herdick, M. L., Meisel, A., Gerischer, L. M., & Lehnerer, S. (2024) · doi:10.2196/preprints.58266 · Cited by 1 · see citing works
Mobile healthcare application on Android OS using cloud computing
Omran, N. F. (2024) · Imaging and Radiation Research · doi:10.24294/irr.v6i1.5411
Wiederkehr, C., Müller, A. S., Igual, M., & Bernheim, A. M. (2025) · European Heart Journal - Case Reports · doi:10.1093/ehjcr/ytaf177
WeBIUM 2025: 2nd Workshop on Wearable Devices and Brain-Computer Interfaces for User Modelling
Lofù, D., Sorino, P., Colafiglio, T., Lombardi, A., Noia, T. D., & Narducci, F. (2025) · ACM Conference on User Modeling, Adaptation and Personalization (UMAP) · doi:10.1145/3708319.3727555
Closing gaps in blood pressure control: a look at two major approaches
Nesbitt, S. D. (2025) · Exploration of Medicine · doi:10.37349/emed.2025.1001337
Etingen, B., Smith, B., Shimada, S. L., Robinson, S. A., Higashi, R. T., Ndiwane, N., Frisbee, K. L., Lipschitz, J. M., Richardson, E., Irvin, D., et al. (2025) · JMIR Formative Research · doi:10.2196/77113
Kini, S., Inokuchi, D., Burke, J., Adjemian, J., Ramirez, A. H., Diaz, E. A., Wang, G., & Hedden, S. L. (2025) · Journal of Clinical and Translational Science · doi:10.1017/cts.2025.10142
Ayalew, M., Berhie, G., & Cecchetti, A. A. (2025) · Science Technology & Public Policy · doi:10.11648/j.stpp.20250902.12
AI technology and smart sensors: How wearable health devices are redefining diabetes management
Manko, B. A. (2025) · Journal of Information Technology Teaching Cases · doi:10.1177/20438869251394035
Malubag, L. P. B., Mayabason, B. R., Villanueva, C. B. T., Cha, I. E., Chen, Y.-X., & Galicia, J. K. A. (2025) · IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) · doi:10.1109/icce-asia67487.2025.11263760
Yoon, J., Lee, M., Kim, S. J., Han, J., Joo, J., Cho, H., & Cho, J. (2025) · doi:10.2196/preprints.87136
Heredia, N. I., Robertson, M. C., Pfledderer, C. D., Hunt, E. T., Walker, T. J., & Salvo, D. (2026) · Journal of Physical Activity and Health · doi:10.1123/jpah.2025-0236
Keys, R., O’Kane, A. A., Marshall, P., & Stuart, G. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790692
Fitness Trackers and Health Outcomes: Scoping Review with ☸SAIMSARA
SAIMSARA (2026) · SAIMSARA Journal · doi:10.62487/saimsaraded773a0
Correlates of Fitness Tracker Ownership and Use in Cancer Survivors: Cross-Sectional Survey
Benzo, R. M., Fisher, J. L., Tetrick, M. K., Singh, R., Osei, A. B., Krok‐Schoen, J. L., Nickerson, B. S., Paskett, E. D., Kargarandehkordi, A., Kumar, S., et al. (2026) · JMIR Cancer · doi:10.2196/92876
Underlying strategies of scaling up and sustaining physical activity interventions
Alsaqqa, H. H., & Alwawi, A. A. (2026) · Frontiers in Health Services · doi:10.3389/frhs.2026.1767433
Ran, P., & Yang, L. (2026) · IUBMB Life · doi:10.1002/iub.70127
Orofo, C., Xiong, K., Aduamah, E., Yang, A., Guichette, T., Goode, J., Ruvolo, P., & Cuadra, A. (2026) · International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS) · doi:10.1145/3797867.3829018
- Authors
- Holko, M., Litwin, T. R., Munoz, F., Theisz, K. I., Salgin, L., Jenks, N. P., Holmes, B. W., Watson-McGee, P., Winford, E., & Sharma, Y.
- Affiliations
- National Institutes of Health (US)
- San Ysidro Health (US)
- Community Health Center (US)
- Corresponding author
- Holko, Michelle
- Litwin, Tamara R.
- Sharma, Yashoda
- ORCID
- Venue
- npj Digital Medicine
- Published
- 2022-04-25
- Volume
- 5
- Issue
- 1
- Pages
- 53-53
- ISSN
- 2398-6352 (ISSN-L)
- PMC
- PMC9038923
- OpenAlex
- W4224862227
- Cited by
- 85
- References
- 8
- Citations by year
- 2026: 13 · 2025: 19 · 2024: 33 · 2023: 13 · 2022: 7
- FWCI
- 20.67
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- npj Digital Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- wearable activity trackers, digital health devices, federally qualified health centers, health equity, technology adoption barriers, cost barriers, patient education, underserved populations, health technology adoption
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
