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Development of a Theory-Based mHealth App for Fatigue Management in Lupus: Human-Centered Design Approach

Development of a Theory-Based mHealth App for Fatigue Management in Lupus: Human-Centered Design Approach

Fatigue is the most common symptom of systemic lupus erythematosus (SLE) and affects 80%‐90% of individuals with this chronic autoimmune inflammatory disease [1]. Fatigue significantly impacts morbidity and is a leading cause of withdrawal from the workforce, with unemployment rates ranging from 40% to 60% among individuals with SLE [1-8]. People living with SLE consistently cite fatigue as their greatest unmet need; however, the relationship between SLE disease activity and fatigue is complex [9-15].

Anna Deck, Kiran Singh, Paula Caras, Amy LeClair, Monique Gore-Massy, Faye Chiu, Lucas Ogura Dantas, Timothy McAlindon, Sara Folta, Shanthini Kasturi

JMIR Form Res 2025;9:e75399


Finnish Registry-Based Protocol for Screening and Management of Fatigue and Cognitive Problems in Multiple Sclerosis: Observational Study

Finnish Registry-Based Protocol for Screening and Management of Fatigue and Cognitive Problems in Multiple Sclerosis: Observational Study

Fatigue has been presented as the most common symptom of MS, with a rate of up to 80% [8-10], whereas approximately 50% of patients with MS have been shown to have cognitive deficits [11]. The negative effects of cognitive problems and fatigue on working ability have been shown in registry-based studies [12,13]. Self-perceived cognitive problems and fatigue have shown a linear relationship with days on sick leave and a decrease in weekly working hours and self-perceived working ability [12].

Päivi Hämäläinen, Elina Lämsä, Matias Viitala, Hanna Kuusisto, Marja Niiranen, Sari Avikainen, Juha Puustinen, Mervi Ryytty, Juhani Ruutiainen, Merja Soilu-Hänninen

JMIR Hum Factors 2025;12:e67990


User Experiences Among Patients and Health Care Professionals Who Participated in a Randomized Controlled Trial of E-nergEYEze, a Vision-Specific eHealth Intervention to Reduce Fatigue in Adults With Visual Impairment: Mixed Methods Study

User Experiences Among Patients and Health Care Professionals Who Participated in a Randomized Controlled Trial of E-nergEYEze, a Vision-Specific eHealth Intervention to Reduce Fatigue in Adults With Visual Impairment: Mixed Methods Study

Fatigue is known to be an everyday problem for most individuals with visual impairment (VI) [1-4]. Consequences of fatigue on emotional and cognitive functioning, social roles, and participation in society have been reported to be problematic [5,6]. To address this difficulty, an intervention called E-nerg EYEze was developed tailored to the unique aspects of individuals with vision loss who experience severe fatigue and investigated in a randomized controlled trial (RCT) [7].

Manon HJ Veldman, Hilde PA van der Aa, Hans Knoop, Christina Bode, Ger HMB van Rens, Ruth MA van Nispen

JMIR Form Res 2025;9:e53080


Peer Review of “Novel Fatigue Profiling Approach Highlights Temporal Dynamics of Human Sperm Motility (Preprint)”

Peer Review of “Novel Fatigue Profiling Approach Highlights Temporal Dynamics of Human Sperm Motility (Preprint)”

This is the peer-review report for the preprint “Novel Fatigue Profiling Approach Highlights Temporal Dynamics of Human Sperm Motility.” This review is the result of a virtual collaborative live review discussion organized and hosted by PREreview and JMIR Publications on June 26, 2025. The discussion was joined by 14 people: 2 facilitators from the PREreview team, 1 member of the JMIR Publications team, 1 author, and 10 live review participants.

Daniela Saderi, Rosario Rogel-Salazar, Chidi Asuzu, Toba Isaac Olatoye, Mitchell Collier

JMIRx Bio 2025;3:e80919


Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

To measure the severity of fatigue, participants completed the Modified Fatigue Impact Scale-5 (MFIS-5) once every 4 weeks [30]. MFIS-5 assessed the impact of fatigue on cognitive, physical, and psychosocial function. Each item in MFIS-5 could score from 0 (never) to 4 (almost always) on a 5-point Likert scale, with higher scores indicating more severe fatigue. To measure the severity of sleep disturbances, participants completed the Pittsburgh Sleep Quality Index (PSQI) once every 4 weeks [31].

Zongqi Xia, Prerna Chikersal, Shruthi Venkatesh, Elizabeth Walker, Anind K Dey, Mayank Goel

J Med Internet Res 2025;27:e70871


Nursing and Continuing Care Management Work Plan for People Living With COVID-19: Case Study of the Nakhon Pathom Province

Nursing and Continuing Care Management Work Plan for People Living With COVID-19: Case Study of the Nakhon Pathom Province

It is crucial to advise individuals to maintain their health and provide education on self-care, particularly regarding monitoring symptoms such as fatigue and shortness of breath post-COVID. Vaccination guidance: Guidance should be provided regarding vaccination. It’s important to emphasize that vaccination against COVID-19 and influenza can strengthen immunity and prevent re-infection with COVID-19. This also reduces the risk of transmitting the virus again in the community.

Hathaichanok Buajaroen, Darin Photangtham, Wariya Chankham, Paisan Simalaotao, Ubonrat Sirisukpoca, Monchai Kongkamsook, Pantip Timtab, Tapanee Suasangei

JMIR Nursing 2025;8:e65310


Characterizing Patient-Reported Fatigue Using Electronic Diaries in Neurodegenerative and Immune-Mediated Inflammatory Diseases: Observational Study

Characterizing Patient-Reported Fatigue Using Electronic Diaries in Neurodegenerative and Immune-Mediated Inflammatory Diseases: Observational Study

These digital measures hold the potential to provide objective assessments of fatigue that may complement self-reported fatigue to provide a more holistic view of fatigue. However, the identification and evaluation of objective digital measures of fatigue necessitates comparisons with perceived fatigue at relatively frequent intervals, preferably multiple times a day [10,11]. As such, this study focuses on evaluating the properties of a 4-times-a-day digital questionnaire.

Adrien Bennetot, Rana Zia Ur Rehman, Robbin Romijnders, Zhi Li, Victoria Macrae, Kristen Davies, Wan-Fai Ng, Walter Maetzler, Jennifer Kudelka, Hanna Hildesheim, Kirsten Emmert, Emma Paulides, C Janneke van der Woude, Ralf Reilmann, Svenja Aufenberg, Meenakshi Chatterjee, Nikolay V Manyakov, Clémence Pinaud, Stefan Avey

JMIR Form Res 2025;9:e65879


Impact of Tai Chi Therapy on Fatigue and Cognitive Function in Individuals With Chronic Fatigue Syndrome: Protocol for a Pilot Randomized Controlled Trial

Impact of Tai Chi Therapy on Fatigue and Cognitive Function in Individuals With Chronic Fatigue Syndrome: Protocol for a Pilot Randomized Controlled Trial

Chronic fatigue syndrome (CFS), also known as myalgic encephalomyelitis, is a complex chronic disease characterized by pathological fatigue, generalized weakness, immune dysfunction, poor sleep, pain, and cognitive impairments [1]. Its defining feature is persistent or recurrent debilitating fatigue that is not alleviated by rest and occurs despite the absence of significant abnormalities on physical examination or laboratory tests.

Bin Wang, Xiaodong Zhang, Ping Lu, Pingping Sun, Tianxiang He

JMIR Res Protoc 2025;14:e65958


Association of Virtual Nurses’ Workflow and Cognitive Fatigue During Inpatient Encounters: Cross-Sectional Study

Association of Virtual Nurses’ Workflow and Cognitive Fatigue During Inpatient Encounters: Cross-Sectional Study

Extended screen time and the use of electronic health records (EHRs) were associated with an increase in burnout and fatigue in bedside nurses [16]; however, the association between continuous screen time and virtual nurses’ fatigue levels, a key factor to the sustainability of this model, is unknown. Pupillometry data, which measures the change in pupil size, measures cognitive fatigue [17].

Saif Khairat, Jennifer Morelli, Wan-Ting Liao, Julia Aucoin, Barbara S Edson, Cheryl B Jones

JMIR Hum Factors 2025;12:e67111