Can Mobile Health Technologies Transform Health Care?

The Economic Burden of Non–Influenza-Related Viral Respiratory Tract Infection in the United States

Fendrick, A. M., Monto, A. S., Nightengale, B. S., & Sarnes, M. W. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.4.487 · Cited by 865

Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial

Steventon, A., Bardsley, M., Billings, J., Dixon, J., Doll, H., Hirani, S., Cartwright, M., Rixon, L., Knapp, M., Henderson, C., et al. (2012) · BMJ · doi:10.1136/bmj.e3874 · Cited by 583

In Search of Joy in Practice: A Report of 23 High-Functioning Primary Care Practices

Sinsky, C. A., Willard‐Grace, R., Schutzbank, A. M., Sinsky, T. A., Margolius, D., & Bodenheimer, T. (2013) · The Annals of Family Medicine · doi:10.1370/afm.1531 · Cited by 445

Diagnostic Inaccuracy of Smartphone Applications for Melanoma Detection

Wolf, J. A., Moreau, J. F., Akilov, O., Patton, T., English, J. C., Ho, J., & Ferris, L. K. (2013) · JAMA Dermatology · doi:10.1001/jamadermatol.2013.2382 · Cited by 393

Understanding the perception towards using mHealth applications in practice

Sezgın, E., Özkan, S., & Yıldırım, S. (2016) · Information Development · doi:10.1177/0266666916684180 · Cited by 59

Potential of Mobile Health Technology to Reduce Health Disparities in Underserved Communities

van Veen, T., Binz, S., Muminovic, M., Chaudhry, K., Rose, K., Calo, S., Rammal, J., France, J., & Miller, J. B. (2019) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2019.6.41911 · Cited by 58

New tests, new tools: mobile and connected technologies in advancing psychiatric diagnosis

Roberts, L. W., Chan, S. R., & Torous, J. B. (2017) · npj Digital Medicine · doi:10.1038/s41746-017-0006-0 · Cited by 57

Exploring the feasibility of using mobile phones to improve the management of clients with cervical cancer precursor lesions

Moodley, J., Constant, D., Botha, M. H., der Merwe, F. H. V., Edwards, A., & Momberg, M. (2019) · BMC Women s Health · doi:10.1186/s12905-018-0702-1 · Cited by 52

A Telehealth Framework for Mobile Health, Smartphones, and Apps: Competencies, Training, and Faculty Development

Hilty, D. M., Chan, S. R., Torous, J. B., Luo, J. S., & BOLAND, R. J. (2019) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-019-00091-0 · Cited by 53

Connected Health User Willingness to Share Personal Health Data: Questionnaire Study

Karampela, M., Ouhbi, S., & Isomursu, M. (2019) · Journal of Medical Internet Research · doi:10.2196/14537 · Cited by 52

Exploring critical factors influencing physicians’ acceptance of mobile electronic medical records based on the dual-factor model: a validation in Taiwan

Liu, C.-F., & Cheng, T. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-014-0125-3 · Cited by 51

Attitudes and Preferences on the Use of Mobile Health Technology and Health Games for Self-Management: Interviews With Older Adults on Anticoagulation Therapy

Lee, J., Nguyen, A. L., Berg, J. P., Amin, A., Bachman, M., Guo, Y., & Evangelista, L. S. (2014) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3196 · Cited by 51

Design and Preliminary Findings From a New Electronic Cohort Embedded in the Framingham Heart Study

McManus, D. D., Trinquart, L., Benjamin, E. J., Manders, E. S., Fusco, K., Jung, L., Spartano, N. L., Kheterpal, V., Nowak, C., Sardana, M., et al. (2019) · Journal of Medical Internet Research · doi:10.2196/12143 · Cited by 49

From hostile worlds to multiple spheres: towards a normative pragmatics of justice for the Googlization of health

Sharon, T. (2021) · Medicine Health Care and Philosophy · doi:10.1007/s11019-021-10006-7 · Cited by 60

Cognitive Rehabilitation With Mobile Technology and Social Support for Veterans With TBI and PTSD: A Randomized Clinical Trial

Elbogen, E. B., Dennis, P. A., Voorhees, E. E. V., Blakey, S. M., Johnson, J. L., Johnson, S. C., Wagner, H. R., Hamer, R. M., Beckham, J. C., Manly, T., et al. (2018) · Journal of Head Trauma Rehabilitation · doi:10.1097/htr.0000000000000435 · Cited by 55

Human Factors Engineering and User-Centered Design for Mobile Health Technology: Enhancing Effectiveness, Efficiency, and Satisfaction

Or, C. K., Holden, R. J., & Valdez, R. S. (2022) · Automation, collaboration, and e-services · doi:10.1007/978-3-031-10788-7_6 · Cited by 50

Adopting health apps, what's hindering doctors and patients?

Dehzad, F., Hilhorst, C., de Bie, C., & Claassen, E. (2014) · Health · doi:10.4236/health.2014.616256 · Cited by 46

Acquisition, Analysis, and Sharing of Data in 2015 and Beyond: A Survey of the Landscape

Antman, E. M., Benjamin, E. J., Harrington, R. A., Houser, S. R., Peterson, E. D., Bauman, M. A., Brown, N., Bufalino, V. J., Califf, R. M., Creager, M. A., et al. (2015) · Journal of the American Heart Association · doi:10.1161/jaha.115.002810 · Cited by 47

PoopMD, a Mobile Health Application, Accurately Identifies Infant Acholic Stools

Franciscovich, A., Vaidya, D. M., Doyle, J., Bolinger, J., Capdevila, M., Rice, M., Hancock, L., Mahr, T., & Mogul, D. B. (2015) · PLoS ONE · doi:10.1371/journal.pone.0132270 · Cited by 46

Leveraging cues from person-generated health data for peer matching in online communities

Hartzler, A. L., Taylor, M. N., Park, A., Griffiths, T., Backonja, U., McDonald, D. W., Wahbeh, S., Brown, C. S., & Pratt, W. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocv175 · Cited by 46

The provider perspective: investigating the effect of the Electronic Patient-Reported Outcome (ePRO) mobile application and portal on primary care provider workflow

Hans, P. K., Gray, C. S., Gill, A., & Tiessen, J. H. (2017) · Primary Health Care Research & Development · doi:10.1017/s1463423617000573 · Cited by 46

eHealth tools for the self-testing of visual acuity: a scoping review

Yeung, W. K., Dawes, P., Pye, A., Charalambous, A.-P., Neil, M., Aslam, T. M., Dickinson, C., & Leroi, I. (2019) · npj Digital Medicine · doi:10.1038/s41746-019-0154-5 · Cited by 47

Nursing and mHealth

Samples, C., Ni, Z., & Shaw, R. J. (2014) · International Journal of Nursing Sciences · doi:10.1016/j.ijnss.2014.08.002 · Cited by 44

Designing an Electronic Patient Management System for Multiple Sclerosis: Building a Next Generation Multiple Sclerosis Documentation System

Kern, R., Haase, R., Eisele, J., Thomas, K., & Ziemssen, T. (2016) · Interactive Journal of Medical Research · doi:10.2196/ijmr.4549 · Cited by 43

Off-hours use of a smartphone intervention to extend support for individuals with schizophrenia spectrum disorders recently discharged from a psychiatric hospital

Achtyes, E. D., Ben-Zeev, D., Luo, Z., Mayle, H., Burke, B., Rotondi, A. J., Gottlieb, J. D., Brunette, M. F., Mueser, K. T., Gingerich, S., et al. (2019) · Schizophrenia Research · doi:10.1016/j.schres.2018.11.026 · Cited by 35

The Evolution of Patient Empowerment and Its Impact on Health Care’s Future

Meskó, B., deBronkart, D., Dhunnoo, P., Árvai, N., Katonai, G., & Riggare, S. S. (2025) · Journal of Medical Internet Research · doi:10.2196/60562 · Cited by 40

An Individualized, Data-Driven Digital Approach for Precision Behavior Change

Wongvibulsin, S., Martin, S. S., Saria, S., Zeger, S. L., & Murphy, S. A. (2019) · American Journal of Lifestyle Medicine · doi:10.1177/1559827619843489 · Cited by 40

Assessing factors critical to smart technology applications to mobile health care − the fgm-fahp approach

Chen, T. (2020) · Health Policy and Technology · doi:10.1016/j.hlpt.2020.02.005 · Cited by 40

A Systematic Review and Meta-Analysis of Change in Health-Related Quality of Life for Interactive Telehealth Interventions for Patients With Asthma

Snoswell, C. L., Rahja, M., & LALOR, A. F. (2020) · Value in Health · doi:10.1016/j.jval.2020.09.006 · Cited by 47

Heart Failure-Smart Life: a randomized controlled trial of a mobile app for self-management in patients with heart failure

Choi, E., Park, J., Min, D., Ahn, S., & Ahn, J. (2023) · BMC Cardiovascular Disorders · doi:10.1186/s12872-023-03039-8 · Cited by 41

Alone But Supported: A Qualitative Study of an HIV Self-testing App in an Observational Cohort Study in South Africa

Janssen, R., Engel, N., Esmail, A., Oelofse, S., Krumeich, A. J. S. M., Dheda, K. U. J., & Pai, N. P. (2019) · AIDS and Behavior · doi:10.1007/s10461-019-02516-6 · Cited by 39

Mobile Healthcare Adoption among Patients in a Developing Country Environment: Exploring the Influence of Age and Gender Differences

Faqih, K. M. S., & Jaradat, M.-I. R. M. (2015) · International Business Research · doi:10.5539/ibr.v8n9p142 · Cited by 44

Model for Medical Student Introductory Telemedicine Education

Walker, C. R., Echternacht, H., & Brophy, P. D. (2018) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2018.0140 · Cited by 38

Mobile Health Divide Between Clinicians and Patients in Cancer Care: Results From a Cross-Sectional International Survey

Tarricone, R., Cucciniello, M., Armeni, P., Petracca, F., Desouza, K. C., Hall, L. K., & Keefe, D. M. K. (2019) · JMIR mhealth and uhealth · doi:10.2196/13584 · Cited by 35

The Prescription of Mobile Apps by Primary Care Teams: A Pilot Project in Catalonia

Seguí, F. L., Bufill, C. P., Abdón, N., Roldán, J. M., & Cuyàs, F. G. (2018) · JMIR mhealth and uhealth · doi:10.2196/10701 · Cited by 37

Using Fitness Trackers in Clinical Research: What Nurse Practitioners Need to Know

Cadmus‐Bertram, L. (2017) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2016.10.012 · Cited by 37

The "Hot Potato" of Mental Health App Regulation: A Critical Case Study of the Australian Policy Arena

Parker, L. M., Bero, L. A., Gillies, D. M., Raven, M. K., & Grundy, Q. (2018) · International Journal of Health Policy and Management · doi:10.15171/ijhpm.2018.117 · Cited by 37

eHealth Interventions for Solid Organ Transplant Recipients: A Systematic Review and Meta-analysis of Randomized Controlled Trials

Tang, J., James, L. J., Howell, M., Tong, A., & Wong, G. (2020) · Transplantation · doi:10.1097/tp.0000000000003294 · Cited by 44

CBT-informed psychological interventions for adult patients with anxiety and depression symptoms: A narrative review of digital treatment options

Biagianti, B., Foti, G., Liberto, A. D., Bressi, C., & Brambilla, P. (2023) · Journal of Affective Disorders · doi:10.1016/j.jad.2023.01.057 · Cited by 44

Attitude of Families of Patients with Genetic Diseases to Use m-Health Technologies

Tozzi, A. E., Carloni, E., Gesualdo, F., Russo, L., & Raponi, M. (2014) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2014.0080 · Cited by 36

Client-Focused Security Assessment of mHealth Apps and Recommended Practices to Prevent or Mitigate Transport Security Issues

Müthing, J., Jäschke, T., & Friedrich, C. M. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7791 · Cited by 36

Mobile Health, Smartphone/Device, and Apps for Psychiatry and Medicine

Hilty, D. M., Chan, S., Torous, J., Luo, J., & Boland, R. J. (2019) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2019.05.007 · Cited by 38

A System for the Promotion of Traceability and Ownership of Health Data Using Blockchain

Pinto, R. P., Silva, B. M. C., & Inácio, P. R. M. (2022) · IEEE Access · doi:10.1109/access.2022.3203193 · Cited by 39

Patient-oriented Health Technologies: Patients’ Perspectives and Use

Bauer, A. M., Rue, T. C., Munson, S. A., Ghomi, R. H., Keppel, G. A., Cole, A., Baldwin, L., & Katon, W. J. (2017) · Journal of Mobile Technology in Medicine · doi:10.7309/jmtm.6.2.1 · Cited by 34

Effect of pelvic floor muscle training using mobile health applications for stress urinary incontinence in women: a systematic review

Hou, Y., Feng, S., Tong, B., Lu, S., & Jin, Y. (2022) · BMC Women s Health · doi:10.1186/s12905-022-01985-7 · Cited by 33

Use of Mobile Apps: A Patient‐centered Approach

VonHoltz, L., Hypolite, K. A., Carr, B. G., Shofer, F. S., Winston, F. K., Hanson, C. W., & Merchant, R. M. (2015) · Academic Emergency Medicine · doi:10.1111/acem.12675 · Cited by 33

Investigating the Utility of Multimodal Conversational Technology and Audiovisual Analytic Measures for the Assessment and Monitoring of Amyotrophic Lateral Sclerosis at Scale

Neumann, M., Roesler, O., Liscombe, J., Kothare, H., Suendermann‐Oeft, D., Pautler, D., Navar, I., Anvar, A., Kumm, J., Norel, R., et al. (2021) · Interspeech (USB) · doi:10.21437/interspeech.2021-1801 · Cited by 33

Digital phenotyping in bipolar disorder: Using longitudinal Fitbit data and personalized machine learning to predict mood symptomatology

Lipschitz, J. M., Lin, S., Saghafian, S., Pike, C. K., & Burdick, K. E. (2024) · Acta Psychiatrica Scandinavica · doi:10.1111/acps.13765 · Cited by 40

Pain relief in the palm of your hand: Harnessing mobile health to manage pediatric pain

Hunter, J. F., Kain, Z. N., & Fortier, M. A. (2018) · Pediatric Anesthesia · doi:10.1111/pan.13547 · Cited by 33

Mobile health (m-health)

Istepanian, R. S. H., & Alanzi, T. M. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816034-3.00022-5 · Cited by 34

Exploring the Determinants of Mobile Health Adoption by Hospitals in China: Empirical Study

Ramdani, B., Duan, B., & Berrou, I. (2019) · JMIR Medical Informatics · doi:10.2196/14795 · Cited by 39

Cost-effectiveness of telehealth-delivered nutrition interventions: a systematic review of randomized controlled trials

Kelly, J. T., Law, L., Guzman, K. R. D., Hickman, I. J., Mayr, H. L., Campbell, K. L., Snoswell, C. L., & Erku, D. (2023) · Nutrition Reviews · doi:10.1093/nutrit/nuad032 · Cited by 31

Advances in Mobile Mental Health: Opportunities and Implications for the Spectrum of E-Mental Health Services

Hilty, D. M., Chan, S., Hwang, T., Wong, A., & Bauer, A. M. (2018) · Focus · doi:10.1176/appi.focus.16301 · Cited by 31

Disposition toward privacy and information disclosure in the context of emerging health technologies

Schairer, C. E., Cheung, C., Rubanovich, C. K., Cho, M. K., Cranor, L. F., & Bloss, C. S. (2019) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocz010 · Cited by 32

Moodivate

Dahne, J., Lejuez, C. W., Kustanowitz, J., Felton, J. W., Díaz, V. A., Player, M. S., & Carpenter, M. J. (2017) · The International Journal of Psychiatry in Medicine · doi:10.1177/0091217417720899 · Cited by 34

A model for implementing sustainable mHealth applications in a resource‐constrained setting: A case of Malawi

Pankomera, R., & van Greunen, D. (2018) · The Electronic Journal of Information Systems in Developing Countries · doi:10.1002/isd2.12019 · Cited by 30

How Could Commercial Terms of Use and Privacy Policies Undermine Informed Consent in the Age of Mobile Health?

Schairer, C. E., Rubanovich, C. K., & Bloss, C. S. (2018) · The AMA Journal of Ethic · doi:10.1001/amajethics.2018.864 · Cited by 30

Towards the Use of Blockchain in Mobile Health Services and Applications

Santos, J. A., Inácio, P. R. M., & Silva, B. M. C. (2021) · Journal of Medical Systems · doi:10.1007/s10916-020-01680-w · Cited by 31

Availability and Use of Mobile Health Technology for Disease Diagnosis and Treatment Support by Health Workers in the Ashanti Region of Ghana: A Cross-Sectional Survey

Osei, E., Agyei, K., Tlou, B., & Mashamba-Thompson, T. P. (2021) · Diagnostics · doi:10.3390/diagnostics11071233 · Cited by 29

Flipped healthcare for better or worse

Hult, H. V., Hansson, A., Svensson, L. G., & Gellerstedt, M. (2019) · Health Informatics Journal · doi:10.1177/1460458219833099 · Cited by 30

The future of laboratory medicine — A 2014 perspective

Kricka, L. J., Golembe, T. J., Park, J. Y., & Fortina, P. M. (2014) · Clinica Chimica Acta · doi:10.1016/j.cca.2014.09.005 · Cited by 30

mHealth solutions for early interventions after trauma: improvements and considerations for assessment and intervention throughout the acute post-trauma period

Price, M., van Stolk‐Cooke, K., Brier, Z. M. F., & Legrand, A. C. (2018) · mHealth · doi:10.21037/mhealth.2018.06.03 · Cited by 29

Mobile alcohol biosensors and pharmacotherapy development research

Roberts, W., & McKee, S. A. (2018) · Alcohol · doi:10.1016/j.alcohol.2018.07.012 · Cited by 31

A Review of Mobile Health Applications in Epidemic and Pandemic Outbreaks: Lessons Learned for COVID-19

Aslani, N., Lazem, M., Mahdavi, S., & Garavand, A. (2020) · Archives of Clinical Infectious Diseases · doi:10.5812/archcid.103649 · Cited by 30

Intelligent system for human activity recognition in IoT environment

Khaled, H., Abu-Elnasr, O., Elmougy, S., & Tolba, A. S. (2021) · Complex & Intelligent Systems · doi:10.1007/s40747-021-00508-5 · Cited by 29

Diabetes App-Related Text Messages From Health Care Professionals in Conjunction With a New Wireless Glucose Meter With a Color Range Indicator Improves Glycemic Control in Patients With Type 1 and Type 2 Diabetes: Randomized Controlled Trial

Grady, M., Katz, L. B., Cameron, H., & Levy, B. L. (2017) · JMIR Diabetes · doi:10.2196/diabetes.7454 · Cited by 29

Cost effectiveness review of text messaging, smartphone application, and website interventions targeting T2DM or hypertension

Willems, R. P., Annemans, L., Siopis, G., Moschonis, G., Vedanthan, R., Jung, J., Kwaśnicka, D., Oldenburg, B. F., D’Antonio, C., Girolami, S., et al. (2023) · npj Digital Medicine · doi:10.1038/s41746-023-00876-x · Cited by 30

mHealth adoption among primary care physicians in Malaysia and its associated factors: a cross-sectional study

Lim, H. M., Dunn, A. G., Ooi, S. M. F., Teo, C. H., Abdullah, A. B., Woo, W. J., & Ng, C. J. (2020) · Family Practice · doi:10.1093/fampra/cmaa103 · Cited by 27

Use of telemedicine in the management of infectious diseases

Gras, G. (2018) · Médecine et Maladies Infectieuses · doi:10.1016/j.medmal.2018.01.005 · Cited by 27

US primary care in 2029: A Delphi survey on the impact of machine learning

Blease, C. R., Kharko, A., Locher, C., DesRoches, C. M., & Mandl, K. D. (2020) · PLoS ONE · doi:10.1371/journal.pone.0239947 · Cited by 29

Use of Mobile Apps in Heart Failure Self-management: Qualitative Study Exploring the Patient and Primary Care Clinician Perspective

Giordan, L. B., Ronto, R., Chau, J. Y., Chow, C. K., & Laranjo, L. (2022) · JMIR Cardio · doi:10.2196/33992 · Cited by 30

Personalized Prediction of Response to Smartphone-Delivered Meditation Training: Randomized Controlled Trial

Webb, C. A., Hirshberg, M. J., Davidson, R. J., & Goldberg, S. B. (2022) · Journal of Medical Internet Research · doi:10.2196/41566 · Cited by 30

Using mobile technology to optimize disease surveillance and healthcare delivery at mass gatherings: a case study from India's Kumbh Mela

Kazi, D. S., Greenough, P. G., Madhok, R., Heerboth, A., Shaikh, A. A., Leaning, J., & Balsari, S. (2016) · Journal of Public Health · doi:10.1093/pubmed/fdw091 · Cited by 27

The Use of Mobile Technologies to Promote Physical Activity and Reduce Sedentary Behaviors in the Middle East and North Africa Region: Systematic Review and Meta-Analysis

Tong, H. L., Alnasser, A., Alshahrani, N. Z., Bawaked, R. A., AlAhmed, R. S., Alsukait, R. F., Rakić, S., Çetinkaya, V., Al-Hazzaa, H. M., & Alqahtani, S. A. (2024) · Journal of Medical Internet Research · doi:10.2196/53651 · Cited by 32

Prescription Precision: A Comprehensive Review of Intelligent Prescription Systems

Tantray, J., Patel, A., Wani, S. N., Kosey, S., & Prajapati, B. G. (2024) · Current Pharmaceutical Design · doi:10.2174/0113816128321623240719104337 · Cited by 29

Mitigating HIV Health Disparities: The Promise of Mobile Health for a Patient-Initiated Solution

Arya, M., Kumar, D., Patel, S., Street, R. L., Giordano, T. P., & Viswanath, K. (2014) · American Journal of Public Health · doi:10.2105/ajph.2014.302120 · Cited by 26

Work-Related Stress Among Chefs: A Predictive Model of Health Complaints

Cerasa, A., Fabbricatore, C., Ferraro, G. A., Pozzulo, R., Martino, I., & Liuzza, M. T. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00068 · Cited by 29

Medication Adherence among Allogeneic Haematopoietic Stem Cell Transplant Recipients: A Systematic Review

Visintini, C., Mansutti, I., & Palese, A. (2023) · Cancers · doi:10.3390/cancers15092452 · Cited by 26

Mobile Health App for Prostate Cancer Patients on Androgen Deprivation Therapy: Qualitative Usability Study

Nabi, J., Cone, E. B., Vasavada, A., Sun, M., Kilbridge, K. L., Kibel, A. S., Berry, D. L., & Trinh, Q. (2020) · JMIR mhealth and uhealth · doi:10.2196/20224 · Cited by 25

Treating COPD in Older and Oldest Old Patients

Corsonello, A., Scarlata, S., Pedone, C., Bustacchini, S., Fusco, S., Zito, A., & Incalzi, R. A. (2015) · Current Pharmaceutical Design · doi:10.2174/1381612821666150130121229 · Cited by 24

Comparing the effects of education using telephone follow-up and smartphone-based social networking follow-up on self-management behaviors among patients with hypertension

Ghezeljeh, T. N., Sharifian, S., Isfahani, M. N., & Haghani, H. (2018) · Contemporary Nurse · doi:10.1080/10376178.2018.1441730 · Cited by 27

Multimodal Technologies for Remote Assessment of Neurological and Mental Health

Ramanarayanan, V. (2024) · Journal of Speech Language and Hearing Research · doi:10.1044/2024_jslhr-24-00142 · Cited by 32

The Use of Digital Technology and Media in German Parkinson’s Disease Patients

Marxreiter, F., Buttler, U., Gaßner, H., Gandor, F., Gladow, T., Eskofier, B. M., Winkler, J., Ebersbach, G., & Klucken, J. (2019) · Journal of Parkinson s Disease · doi:10.3233/jpd-191698 · Cited by 24

Mobile Health Technology for Personalized Primary Care Medicine

Shaw, R. J., Bonnet, J. P., Modarai, F., George, A. E., & Shahsahebi, M. (2015) · The American Journal of Medicine · doi:10.1016/j.amjmed.2015.01.005 · Cited by 24

Mobile health for stroke: a promising concept for research and practice

Sarfo, F. S., & Ovbiagele, B. (2017) · mHealth · doi:10.21037/mhealth.2017.02.01 · Cited by 24

Geographic variations, temporal trends, and equity in healthcare resource allocation in China, 2010–21

Yin, S., Liu, Z., Yu, S., Li, Y., An, J., Wang, D., Yan, H., Xiao, Y., Xu, F., Tian, Y., et al. (2025) · Journal of Global Health · doi:10.7189/jogh.15.04008 · Cited by 30

Enhancing Patient-Centered Surgical Care With Mobile Health Technology

Panda, N., Perez, N. P., Tsangaris, E., Edelen, M. O., Pusic, A. L., Zheng, F., & Haynes, A. B. (2022) · Journal of Surgical Research · doi:10.1016/j.jss.2022.01.005 · Cited by 23

Emerging and Disruptive Technologies

Crowe, A. S. (2015) · CRC Press eBooks · doi:10.1201/b18476-7 · Cited by 23

Mobile Apps for the Management of Comorbid Overweight/Obesity and Depression/Anxiety: A Systematic Review

Gómez-de-Regil, L., Avila-Nava, A., Gutierrez-Solis, A. L., & Lugo, R. (2020) · Journal of Healthcare Engineering · doi:10.1155/2020/9317179 · Cited by 20

Psychiatric Apps: Patient Self-Assessment, Communication, and Potential Treatment Interventions

Chan, S. R., Torous, J. B., Hinton, L., & Yellowlees, P. (2015) · Springer eBooks · doi:10.1007/978-3-319-20852-7_11 · Cited by 22

Nutzenbewertung von digitalen Gesundheitsprodukten (Digital Health) im gesellschaftlichen Erstattungskontext

Albrecht, U., Kuhn, B., Land, J., Amelung, V. E., & von Jan, U. (2018) · Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz · doi:10.1007/s00103-018-2696-0 · Cited by 22

A Vendor-Independent Mobile Health Monitoring Platform for Digital Health Studies: Development and Usability Study

Vandenberk, T., Storms, V., Lanssens, D., Cannière, H. D., Smeets, C. J. P. P., Thijs, I. M. V., Batool, T., Vanrompay, Y., Vandervoort, P. M., & Grieten, L. (2019) · JMIR mhealth and uhealth · doi:10.2196/12586 · Cited by 22

Impact of mobile health in diabetic retinopathy awareness and eye care behavior among Indigenous women

Umaefulam, V. O., & Premkumar, K. (2020) · mHealth · doi:10.21037/mhealth.2019.12.01 · Cited by 21

Primary Care Visits Are Timelier When Patients Choose Telemedicine: A Cross-Sectional Observational Study

Graetz, I., Huang, J., Muelly, E. R., Gopalan, A., & Reed, M. (2022) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2021.0528 · Cited by 22

Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review

Frank, A. C., Li, R., Peterson, B. S., & Narayanan, S. S. (2023) · JMIR Mental Health · doi:10.2196/45572 · Cited by 27

LEADERSHIP IN GLOBAL HEALTH: NAVIGATING CHALLENGES AND OPPORTUNITIES FOR IMPACTFUL OUTCOMES IN AFRICA AND SRI LANKA

Odugbose, T., Adegoke, B. O., & Adeyemi, C. (2024) · International Journal of Management & Entrepreneurship Research · doi:10.51594/ijmer.v6i4.1007 · Cited by 22

Development and Preliminary Feasibility Study of a Brief Behavioral Activation Mobile Application (Behavioral Apptivation) to Be Used in Conjunction With Ongoing Therapy

Dahne, J., Kustanowitz, J., & Lejuez, C. W. (2017) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2017.05.004 · Cited by 24

Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management

Russell, A. M., Smith, S., Bailey, S., Belter, L. T., Pandit, A. U., Hedlund, L. A., Bojarski, E. A., Rush, S., & Wolf, M. (2018) · Journal of health communication · doi:10.1080/10810730.2018.1554728 · Cited by 19

Sustainability requirements for connected health applications

Ouhbi, S., Fernández‐Alemán, J. L., Toval, A., Pozo, J. R., & Idri, A. (2017) · Journal of Software Evolution and Process · doi:10.1002/smr.1922 · Cited by 21

Leapfrogging Healthcare Service Quality in Sub-Saharan Africa: The Utility-Trust Rationale of Mobile Payment Platforms

Nwankpa, J. K., & Datta, P. M. (2021) · European Journal of Information Systems · doi:10.1080/0960085x.2021.1978339 · Cited by 21

The Assessment of the Readiness of Molecular Biomarker-Based Mobile Health Technologies for Healthcare Applications

Chu, Q., Tao, L., Phang, Y. H., Zhang, C., Chen, S. Y., Zhang, P., Tan, Y. C., Jiang, Y., & Chen, Y. (2015) · Scientific Reports · doi:10.1038/srep17854 · Cited by 20

A feasibility pilot using a mobile personal health assistant (PHA) app to assist stroke patient and caregiver communication after hospital discharge

Siegel, J. L., Edwards, E., Mooney, L. H., Smith, C. R., Peel, J. B., Dole, A., Maler, P., & Freeman, W. D. (2016) · mHealth · doi:10.21037/mhealth.2016.08.02 · Cited by 21

Health IT and digital health: The future of health technology is diverse

Meskó, B. (2018) · Journal of Clinical and Translational Research · doi:10.18053/jctres.03.2017s3.006 · Cited by 21

Promoting adherence to treatment for latent TB infection through mobile phone text messaging: study protocol for a pilot randomized controlled trial

Oren, E., Bell, M. L., Garcia, F., Perez-Velez, C., & Gerald, L. B. (2017) · Pilot and Feasibility Studies · doi:10.1186/s40814-017-0128-9 · Cited by 20

Health Insurance and Mobile Health Devices

Raber, I., McCarthy, C. P., & Yeh, R. W. (2019) · JAMA · doi:10.1001/jama.2019.3353 · Cited by 30

This Week in JAMA

(2012) · JAMA · doi:10.1001/jama.2012.2988 · Cited by 1

Mobile Health Technology

Golbus, J. (2023) · JACC Case Reports · doi:10.1016/j.jaccas.2023.101898 · Cited by 19

Mobile health: real game-changer.

Levin-Epstein, M. (2013) · PubMed · Cited by 2

Implementation of Mobile Health Tools

Huckvale, K., & Car, J. (2014) · JAMA · doi:10.1001/jama.2014.1106 · Cited by 11