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Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study

Patient Interaction Phenotypes With an Automated SMS Text Message–Based Program and Use of Acute Health Care Resources After Hospital Discharge: Observational Study

As the use of mobile health (m Health) has grown, so has interest in how patients engage with it. Indeed, most studies of m Health interventions include some measure of user engagement, ranging from app logins to message response rates [16]; however, very few capture the heterogeneity of patient interaction styles. The notion of digital phenotyping, more generally (characterizing interaction with a range of digital health tools), is a nascent but growing field [17].

Klea Profka, Agnes Wang, Emily Schriver, Ashley Batugo, Anna U Morgan, Danielle Mowery, Eric Bressman

J Med Internet Res 2025;27:e72875

Weekly Text Messages to Support Adherence to Oral Pre-Exposure Prophylaxis (PrEP) Among Gay, Bisexual, and Other Cisgender Men Who Have Sex With Men (MSM) and Transgender Women: Pilot Randomized Controlled Trial Nested in PrEP Brasil Study

Weekly Text Messages to Support Adherence to Oral Pre-Exposure Prophylaxis (PrEP) Among Gay, Bisexual, and Other Cisgender Men Who Have Sex With Men (MSM) and Transgender Women: Pilot Randomized Controlled Trial Nested in PrEP Brasil Study

The rapid growth of mobile technologies and their popularity worldwide led to solutions to address problems within health care systems (mobile health [m Health]). Thus, mobile phones have become popular tools to support medical or public health, offering new possibilities for diagnosis, treatment, interventions, m Health apps, and training [16].

Luana Monteiro Spindola Marins, Thiago Silva Torres, Ronaldo Ismerio Moreira, Iuri Costa Leite, Marcelo Cunha, Brenda Hoagland, Lucilene Araujo Freitas, Debora Castanheira, Carolina Coutinho, Emilia Moreira Jalil, Mayara Secco Torres Silva, Jose Valdez Madruga, Beatriz Grinsztejn, Valdilea Gonçalves Veloso

J Med Internet Res 2025;27:e72360

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Impact of Ecological Momentary Assessment Participation on Short-Term Smoking Cessation: quitSTART Ecological Momentary Assessment Incentivization Randomized Trial

Smoking cessation programs using mobile health (m Health) technologies have the potential to cost-effectively reach individuals who smoke at a population level [10-12]. Specifically, m Health cessation interventions delivered through smartphones can reach a large population of individuals who smoke in the United States, as 90% of US adults own a smartphone [13].

Kara P Wiseman, Alex Budenz, Leeann Siegel, Yvonne M Prutzman

J Med Internet Res 2025;27:e67630

Current Practice and Expert Perspectives on Cultural Adaptations of Digital Health Interventions: Qualitative Study

Current Practice and Expert Perspectives on Cultural Adaptations of Digital Health Interventions: Qualitative Study

mhealthEvaluation and Research Methodology for mHealth Usability of Apps and User Perceptions of mHealth Mobile Health (mhealth)

Vasileios Nittas, Sarah J Chavez, Paola Daniore

JMIR Mhealth Uhealth 2025;13:e59965

The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

Mobile health (m Health) interventions have the potential to effectively integrate with existing chronic health management plans. m Health is defined as “medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants, and other wireless devices [9].” The advent of cost-effective m Health apps has been effective in helping patients engage in healthy behaviors, such as increased physical activity and lowered Hb A1c levels [10].

Lynn Leng, Marvyn R Arévalo Avalos, Adrian Aguilera, Courtney R Lyles

JMIR Mhealth Uhealth 2025;13:e64296

Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study

Usability and Usefulness of SMS-Based Artificial Intelligence Intervention (Mwana) on Breastfeeding Outcomes in Lagos, Nigeria: Pilot App Development Study

Mobile health (m Health) initiatives have already demonstrated success in improving maternal and child health outcomes [11]. In Nigeria, where mobile phone penetration continues to rise, m Health tools could help address barriers to EBF by providing mothers with timely, accessible information [12]. With approximately 88% of women owning basic cell phones [13], mobile technology presents a promising avenue for intervention.

Anisha Musti

JMIR Form Res 2025;9:e65157

Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study

Evaluating the Usability of an HIV Prevention Artificial Intelligence Chatbot in Malaysia: National Observational Study

Reference 9: An mHealth intervention to improve medication adherence among patients with coronary heart Reference 10: An mHealth intervention to improve medication adherence and health outcomes among patientsmhealthmHealth in the Developing World/LMICs, Underserved Communities, and for Global Health

Zhao Ni, Sunyoung Oh, Rumana Saifi, Iskandar Azwa, Frederick L Altice

JMIR Hum Factors 2025;12:e70034

Effectiveness and Cost-Effectiveness of a Mobile Psychoeducation Program (OkeyMind) for Social Anxiety Symptoms Among Youths: Protocol for a Randomized Controlled Trial

Effectiveness and Cost-Effectiveness of a Mobile Psychoeducation Program (OkeyMind) for Social Anxiety Symptoms Among Youths: Protocol for a Randomized Controlled Trial

Over the last decade, there has been a notable increase in the use of mobile health (m Health) technologies to improve both access to and engagement with treatments for social anxiety [10]. Accumulated clinical evidence broadly supports this widespread promotion, especially in the young population. m Health solutions in the delivery of interventions are widely accepted by youth users.

Yi-Zhou Wang, De-Hui Ruth Zhou, Siu-Man Ng, Bei-Bei Wang, Yu-Ya Feng, Xue Weng

JMIR Res Protoc 2025;14:e64518

Digital Psychosocial Interventions Tailored for People in Opioid Use Disorder Treatment: Scoping Review

Digital Psychosocial Interventions Tailored for People in Opioid Use Disorder Treatment: Scoping Review

Pub Med, CINAHL, Ovid, and MEDLINE were searched with dates restricted from 2015 to 2024: (m Health OR ecological momentary OR real-time OR mobile health technology OR digital health OR telemedicine OR text messaging OR mobile) AND (counseling OR behavioral OR psychosocial OR therapy) AND (opioid use disorder OR opioid use disorder treatment OR methadone OR buprenorphine OR naltrexone). The search term list was compiled by study team members (KA and MS).

Madison Scialanca, Karen Alexander, Babak Tofighi

J Med Internet Res 2025;27:e69538