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A Cross-Disciplinary Analysis of the Complexities of Scaling Up eHealth Innovation

A Cross-Disciplinary Analysis of the Complexities of Scaling Up eHealth Innovation

The analysis by Greenhalgh and Papoutsi [30] of the different logics that challenge the dissemination of innovations exemplifies this perspective: “Complexity can be hard to square with spread strategies that seek to replicate a ‘blueprint’ innovation in a standardized way across widely different settings.

Sanne Allers, Chiara Carboni, Frank Eijkenaar, Rik Wehrens

J Med Internet Res 2024;26:e58007

Navigating Nephrology's Decline Through a GPT-4 Analysis of Internal Medicine Specialties in the United States: Qualitative Study

Navigating Nephrology's Decline Through a GPT-4 Analysis of Internal Medicine Specialties in the United States: Qualitative Study

These criteria include (1) intellectual challenge and complexity, (2) work-life balance, (3) procedural involvement, (4) research and academic opportunities, (5) patient relationships and continuity of care, (6) career opportunity and demand, and (7) financial compensation. These factors were chosen based on their relevance and applicability to fellowship selection in the real world.

Jing Miao, Charat Thongprayoon, Oscar Garcia Valencia, Iasmina M Craici, Wisit Cheungpasitporn

JMIR Med Educ 2024;10:e57157

Exploring the Role of Complexity in Health Care Technology Bottom-Up Innovations: Multiple-Case Study Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability Complexity Assessment Tool

Exploring the Role of Complexity in Health Care Technology Bottom-Up Innovations: Multiple-Case Study Using the Nonadoption, Abandonment, Scale-Up, Spread, and Sustainability Complexity Assessment Tool

Project representatives, all health care professionals, joined forces to identify challenges by assessing project complexity to increase an understanding of the role of complexity and find ways to explore and assess it. As they all worked within the same regional system, it was crucial to involve regional stakeholders (support functions) during the learning process.

Ulla Hellstrand Tang, Frida Smith, Ulla Leyla Karilampi, Andreas Gremyr

JMIR Hum Factors 2024;11:e50889

Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

Machine Learning Model for Predicting Mortality Risk in Patients With Complex Chronic Conditions: Retrospective Analysis

These terms serve as indicators of health and social complexity as defined by the Catalan public health system [17]. The aim is to predict mortality, which is indicative of the severity of their condition by utilizing easily accessible retrospective data. The model aims to predict a future event, death, by incorporating different population variables to ascertain how their progression would be in each case.

Guillem Hernández Guillamet, Ariadna Ning Morancho Pallaruelo, Laura Miró Mezquita, Ramón Miralles, Miquel Àngel Mas, María José Ulldemolins Papaseit, Oriol Estrada Cuxart, Francesc López Seguí

Online J Public Health Inform 2023;15:e52782

Digital Health Implementation Strategies Coproduced With Adults With Acquired Brain Injury, Their Close Others, and Clinicians: Mixed Methods Study With Collaborative Autoethnography and Network Analysis

Digital Health Implementation Strategies Coproduced With Adults With Acquired Brain Injury, Their Close Others, and Clinicians: Mixed Methods Study With Collaborative Autoethnography and Network Analysis

Given the aforementioned medical and psychosocial complexity of ABI [1,3,11-16]; the complex nature of health care systems as a complex adaptive system (CAS) [42,43] facing the growing global burden of ABI [1-3]; and the complexity of implementation itself [44,45], specifically digital health implementation [35,46-49], researchers should anticipate that the implementation, scale-up, and sustainability of the Social Brain Toolkit might be highly complex.

Melissa Miao, Rosemary Morrow, Alexander Salomon, Ben Mcculloch, Jean-Christophe Evain, Meg Rebecca Wright, Marie Therese Murphy, Monica Welsh, Liz Williams, Emma Power, Rachael Rietdijk, Deborah Debono, Melissa Brunner, Leanne Togher

J Med Internet Res 2023;25:e46396

Understanding Transgender and Gender-Diverse Youth’s Experiences Receiving Care via Telemedicine: Qualitative Interview Study

Understanding Transgender and Gender-Diverse Youth’s Experiences Receiving Care via Telemedicine: Qualitative Interview Study

Another main theme was visit complexity. Participants suggested that complex visits, including those that involved procedures or major changes to their care, were better done in person. Conversely, participants indicated that less complex visits, including verbal check-ins with a provider, could be easily completed via telemedicine. Finally, youth cited distance to the clinic as an important factor in deciding when to use telehealth services.

Nicole F Kahn, Yomna H Anan, Kevin M Bocek, Dimitri A Christakis, Laura P Richardson, Wanda Pratt, Gina M Sequeira

JMIR Pediatr Parent 2023;6:e42378

Implementation of Web-Based Psychosocial Interventions for Adults With Acquired Brain Injury and Their Caregivers: Systematic Review

Implementation of Web-Based Psychosocial Interventions for Adults With Acquired Brain Injury and Their Caregivers: Systematic Review

Such records were excluded, resulting in 75% (45/60) of the records being included in the descriptive analysis of complexity. In accordance with our protocol [30], all quantitative results were analyzed in REDCap and Microsoft Excel (Microsoft Corporation) using descriptive statistics, and all qualitative results were narratively synthesized according to the NASSS framework [17]. Operational classification of domain complexity according to subdomain complexity.

Melissa Miao, Rachael Rietdijk, Melissa Brunner, Deborah Debono, Leanne Togher, Emma Power

J Med Internet Res 2022;24(7):e38100

Context and Complexity in Telemedicine Evaluation: Work Domain Analysis in a Surgical Setting

Context and Complexity in Telemedicine Evaluation: Work Domain Analysis in a Surgical Setting

We describe how principles from complexity science can be applied in a structured and rigorous analysis of a telemedicine implementation context through work domain analysis [7-9]. Work domain analysis is a type of modeling specifically developed to design and analyze complex, adaptive sociotechnical systems. We include examples of how the method was used to analyze and represent many different sources of complexity that shape work in a surgical setting [10].

Hedvig Aminoff, Sebastiaan Meijer

JMIR Perioper Med 2021;4(2):e26580

Psychological Effects of Heart Rate and Physical Vibration on the Operation of Construction Machines: Experimental Study

Psychological Effects of Heart Rate and Physical Vibration on the Operation of Construction Machines: Experimental Study

MSE is an analytical algorithm that has gained popularity in the last 20 years to evaluate the complexity of time series at various time scales [36]. The physiological systems involved in maintaining stable health and well-being are complex and are affected by multiple interactions within and between system components. The complexity of the time series data being analyzed is reflected in the temporal structure of the variability of the output signal [37,38].

Nobuki Hashiguchi, Jianfei Cao, Yeongjoo Lim, Shinichi Kuroishi, Yasuhiro Miyazaki, Shigeo Kitahara, Shintaro Sengoku, Katsushi Matsubayashi, Kota Kodama

JMIR Mhealth Uhealth 2021;9(9):e31637

A Clinical Communication Tool (Loop) for Team-Based Care in Pediatric and Adult Care Settings: Hybrid Mixed Methods Implementation Study

A Clinical Communication Tool (Loop) for Team-Based Care in Pediatric and Adult Care Settings: Hybrid Mixed Methods Implementation Study

A recent systematic review of 37 e Health technologies analyzed using the Consolidated Framework for Implementation Research (CFIR) [15] as an organizing framework recommended that e Health technology implementation should consider the following highly salient factors: complexity, adaptability, compatibility, cost, and champions.

Amna Husain, Eyal Cohen, Raluca Dubrowski, Trevor Jamieson, Allison Miyoshi Kurahashi, Bhadra Lokuge, Adam Rapoport, Stephanie Saunders, Elaine Stasiulis, Jennifer Stinson, Saranjah Subramaniam, Pete Wegier, Melanie Barwick

J Med Internet Res 2021;23(3):e25505