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Efficacy, Safety, and Economic Impact of Cytisinicline Maintenance Therapy in Patients Who Are Candidates for Smoking Cessation: Protocol for a Phase IV, Multicenter, Randomized, Open-Label, Controlled, Parallel Clinical Trial (CITISILONG Trial)

Efficacy, Safety, and Economic Impact of Cytisinicline Maintenance Therapy in Patients Who Are Candidates for Smoking Cessation: Protocol for a Phase IV, Multicenter, Randomized, Open-Label, Controlled, Parallel Clinical Trial (CITISILONG Trial)

Cytisine (natural alkaloid), also called cytisinicline (marketed form), is extracted from a golden rain tree (Cytisus Laburnum) and has adverse effects similar to those reported for nicotine [1,2]. It is a partial agonist of the α4 β2 nicotinic receptors, which, when stimulated, lead to a moderate release of dopamine, contributing to the control of withdrawal symptoms.

Carlos Rabade Castedo, Ana Estany-Gestal, Carlos A Jiménez Ruiz, José Ignacio de Granda-Orive, Juan Antonio Riesco-Miranda, María Isabel Cristóbal Fernández, Angela Ramos-Pinedo, Jaime Signes-Costa Miñana, María Inmaculada Gorordo-Unzueta, Agustin Valido-Morales, Jacobo Sellarés -Torres, Eva Cabrera-César, Alejandro Frino-García, Luis Valdés Cuadrado

JMIR Res Protoc 2026;15:e76815


Creative Arts to Enhance Cervical Cancer Awareness Using Art-Based Messages From a Nigerian Crowdsourcing Open Call: Qualitative Thematic Analysis

Creative Arts to Enhance Cervical Cancer Awareness Using Art-Based Messages From a Nigerian Crowdsourcing Open Call: Qualitative Thematic Analysis

A crowdsourcing open call involves inviting a group of people, such as adult women impacted by cervical cancer, to solve a problem and share selected solutions with the public [19]. This research examines how art uses cultural contexts to enhance health education and promotion, specifically regarding perceptions of HPV vaccination and screening in Nigeria.

Abdulhammed O Babatunde, Ekenechukwu Kokelu, Olufunto A Olusanya, Peter Kalulu, Agatha E Wapmuk, Titilola Gbaja-biamila, Temitope Ojo, Ucheoma Nwaozuru, Chisom Obi-Jeff, Onyekachukwu Anikamadu, Folahanmi T Akinsolu, Hong Xian, Jennifer S Smith, Kayode O Ajenifuja, Jason J Ong, Benedict N Azuogu, Collins O Airhihenbuwa, Joseph D Tucker, Oliver C Ezechi, Juliet Iwelunmor

JMIR Form Res 2026;10:e76240


Evaluation of Hospice@Home for Home-Based Palliative Care: Development and Usability Pilot Study

Evaluation of Hospice@Home for Home-Based Palliative Care: Development and Usability Pilot Study

Participants received an in-kind compensation in the form of a thermometer valued at 100,000 KRW (approximately US $68) for their participation. This pilot study employed a mixed methods approach combining quantitative data collection and qualitative interviews with patients and caregivers.

So-Hi Kwon, Mikyoung Angela Lee, Young-Joo Kim, Seo-Hye Park, Min-Jeong Lee, Youngmin Han, A-Sol Kim

JMIR Form Res 2026;10:e79334


Longitudinal Between- and Within-Person Associations Among Screen Time, Bedtime, and Daytime Sleepiness Among Adolescents: Three-Wave Prospective Panel Study

Longitudinal Between- and Within-Person Associations Among Screen Time, Bedtime, and Daytime Sleepiness Among Adolescents: Three-Wave Prospective Panel Study

Screen time was assessed with 3 items, each starting with the question: “How much time (hours and minutes) do you spend doing the following activities during a typical school day?” The three items were: (1) “using a computer (PC or notebook),” (2) “using a cell phone or tablet,” and (3) “watching TV, including various videos on TV (eg, DVD, Netflix).” In response to these items, respondents picked hours and minutes using a time spinner.

Michał Tkaczyk, Albert J Ksinan, David Smahel

J Med Internet Res 2026;28:e78972


Web-Based Group Photovoice Through the Lens of Survivors of Critical Illness Recovery: Photovoice Qualitative Pilot Study

Web-Based Group Photovoice Through the Lens of Survivors of Critical Illness Recovery: Photovoice Qualitative Pilot Study

There has been a shift in critical care from a focus on survival alone to considerations of quality of life and longer-term recovery. The large majority of people with a life-threatening illness that is treated in an intensive care unit (ICU) will now survive. Among these survivors, more than half experience postintensive care syndrome (PICS)—a myriad of physical, emotional, and cognitive challenges which often co-occur [1,2].

A Fuchsia Howard, Kelsey Lynch, Anita David, Rinila Haridas, Leanne M Currie, Sally Thorne, Gregory Haljan

JMIR Form Res 2026;10:e66601


A Context-Adapted Diabetes Prevention Program (Small Steps for Big Changes) in Australia: Protocol for a Hybrid Implementation-Effectiveness Study

A Context-Adapted Diabetes Prevention Program (Small Steps for Big Changes) in Australia: Protocol for a Hybrid Implementation-Effectiveness Study

A key implementation strategy tested was the use of lay health coaches to deliver the program. Here, coaches attended a 3-day in-person workshop where they were trained in motivational interviewing (MI) as well as the diet, exercise, and diabetes content of the program. This strategy was successfully tested with a community-based partner (YMCA) [16,19-21].

Genevieve N Healy, Sjaan R Gomersall, David W Dunstan, Elisabeth A H Winkler, Katherine A Heseltine, Grace Q Sim, Fiona Mason, Denis Giguere, Michael Tsiamis, Mary E Jung, Ana D Goode

JMIR Res Protoc 2026;15:e81195


Evaluation of a Tablet-Based Emotion Regulation Intervention for Surrogate Decision-Makers of Patients With Critical Illness: Pilot Nonrandomized Trial

Evaluation of a Tablet-Based Emotion Regulation Intervention for Surrogate Decision-Makers of Patients With Critical Illness: Pilot Nonrandomized Trial

We offered a US $25 gift card as compensation for participants who completed all study procedures. Initially, we planned to conduct this study as a parallel group randomized trial; however, we encountered usability issues with the REFRAME intervention that prevented us from implementing it at the start of our recruitment period. Therefore, we modified our design to a pilot before-and-after (nonrandomized) study with a 1:1 group allocation ratio.

Grant Pignatiello, Paul J Tuschman, Stephanie Alisha Griggs, Nicholas K Schiltz, Heath A Demaree, Alex Klinck, Alan Hoffer, Ronald L Hickman Jr

JMIR Form Res 2026;10:e73769


Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models

Treatment Recommendations for Clinical Deterioration on the Wards: Development and Validation of Machine Learning Models

Identification is a necessary condition for initiating treatment, but it is not sufficient to ensure that a patient receives the most appropriate treatment (or treatments) in a timely fashion. This is particularly important because early warning systems often focus on nonspecific deterioration risk instead of monitoring for a specific syndrome like sepsis [26]. Ideally, early warning systems that flag high-risk patients would additionally supply data-driven treatment recommendations.

Eric Pulick, Kyle A Carey, Tonela Qyli, Madeline K Oguss, Jamila K Picart, Leena Penumalee, Lily K Nezirova, Sean T Tully, Emily R Gilbert, Nirav S Shah, Urmila Ravichandran, Majid Afshar, Dana P Edelson, Yonatan Mintz, Matthew M Churpek

JMIR AI 2026;5:e81642


How to Evaluate the Accuracy of Symptom Checkers and Diagnostic Decision Support Systems: Symptom Checker Accuracy Reporting Framework (SCARF)

How to Evaluate the Accuracy of Symptom Checkers and Diagnostic Decision Support Systems: Symptom Checker Accuracy Reporting Framework (SCARF)

A systematic sampling procedure to do that is available in the Rep Vig framework, and for the self-triage use case, a representative vignette set is provided in the framework’s validation study [13]. At this stage, researchers should also assign a gold standard solution to each case and define how the possible outputs of a symptom checker are mapped onto these categories.

Marvin Kopka, Markus A Feufel

JMIR Hum Factors 2026;13:e76168


Insights Into Factors Affecting Nurses’ Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study

Insights Into Factors Affecting Nurses’ Knowledge of and Attitudes Toward AI and Implications for Successful AI Integration in Critical Care: Cross-Sectional Study

The findings revealed a moderate level of AI knowledge (mean score 4.93, SD 1.78) and a generally positive attitude (mean score 64.39, SD 8.26) among CCNs. Crucially, a significant positive correlation was established, indicating that higher levels of AI knowledge were associated with more favorable attitudes.

Habib Alrashedi, Saad M Alderaan, Nader Alnomasy, Hamdi Lamine, Khalil A Saleh, Sameer A Alkubati

JMIR Nursing 2026;9:e85649