J.C. Diehl
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Access to cervical cancer care remains limited in sub-Saharan Africa, where women face compounded socio-cultural, gendered, and structural barriers. This qualitative study explores the lived experiences of nine women diagnosed with cervical cancer in Ethiopia and develops an empirically grounded patient journey map as a design and process artifact based on semi-structured interviews. The journey map reveals fragmented, non-linear care pathways, showing how barriers accumulate from symptom recognition through diagnosis, treatment, and post-treatment support. By visualizing breakdowns and transitions across the care path, the artifact supports problem framing, reflection, and identification of design opportunities. These disruptions intensify emotional and practical burdens, highlighting critical gaps in health literacy, information access, and continuity of care in the healthcare structure. The journey map defines a design-relevant problem space for context-sensitive digital health interventions. This work provides evidence for HCI researchers and practitioners to address accessibility barriers in cervical cancer care in low-resource settings.
Mapping circular economy product and material flows in healthcare
A visual taxonomy
The healthcare sector contributes substantially to environmental pollution, affecting ecosystems and public health. Circular economy (CE) strategies offer potential solutions, but existing frameworks provide limited guidance for healthcare, overlooking factors such as infection control, decontamination, and staff workload.
Methods
We developed the Circular Healthcare Flows visual, a taxonomy of CE strategies for medical devices, using observations in sterilization departments, recycling facilities, and manufacturing plants; 21 expert interviews; and a systematic review of 1104 studies (68 full-text reviews). Additional stakeholder feedback validated and refined the taxonomy.
Findings
The taxonomy identifies 13 CE strategies—refuse, replace, rethink, reduce, reuse, maintain, repair, refurbish, remanufacture, repurpose, recycle, renew, and recover—and organizes them in a healthcare-specific framework. Iterative feedback ensured that the taxonomy is clear, practically applicable, and addresses sector-specific regulatory, clinical, and operational constraints.
Interpretation
The Circular Healthcare Flows visual provides a practical tool to standardize terminology and guide the implementation of CE strategies in healthcare. By offering conceptual structure and actionable guidance, it supports informed decision-making, facilitates collaboration among stakeholders, and encourages consistent application of circular strategies across the sector.
Funding
IJzenbrandt was partially funded by Erasmus University Rotterdam and the Health and Technology Convergence Alliance of TU Delft, Erasmus MC, and Erasmus University Rotterdam. Hoveling was funded through the DiCE project (EU grant agreement no. 101060184). Opinions expressed are those of the authors and do not necessarily reflect those of the EU or REA. ...
The healthcare sector contributes substantially to environmental pollution, affecting ecosystems and public health. Circular economy (CE) strategies offer potential solutions, but existing frameworks provide limited guidance for healthcare, overlooking factors such as infection control, decontamination, and staff workload.
Methods
We developed the Circular Healthcare Flows visual, a taxonomy of CE strategies for medical devices, using observations in sterilization departments, recycling facilities, and manufacturing plants; 21 expert interviews; and a systematic review of 1104 studies (68 full-text reviews). Additional stakeholder feedback validated and refined the taxonomy.
Findings
The taxonomy identifies 13 CE strategies—refuse, replace, rethink, reduce, reuse, maintain, repair, refurbish, remanufacture, repurpose, recycle, renew, and recover—and organizes them in a healthcare-specific framework. Iterative feedback ensured that the taxonomy is clear, practically applicable, and addresses sector-specific regulatory, clinical, and operational constraints.
Interpretation
The Circular Healthcare Flows visual provides a practical tool to standardize terminology and guide the implementation of CE strategies in healthcare. By offering conceptual structure and actionable guidance, it supports informed decision-making, facilitates collaboration among stakeholders, and encourages consistent application of circular strategies across the sector.
Funding
IJzenbrandt was partially funded by Erasmus University Rotterdam and the Health and Technology Convergence Alliance of TU Delft, Erasmus MC, and Erasmus University Rotterdam. Hoveling was funded through the DiCE project (EU grant agreement no. 101060184). Opinions expressed are those of the authors and do not necessarily reflect those of the EU or REA.
Accelerating the transition from a linear to a circular healthcare sector
ESCH-R: study design and methodology
The green ICU
How to interpret green? A multiple perspective approach
Properly functioning health systems globally require medical devices and equipment for vital care. Despite promising innovations, many medical devices face adoption barriers such as regulatory issues, interoperability and data exchange challenges. In low-resource settings, contextual factors influencing adoption and diffusion have not been synthesized into an overview to guide future medical device and equipment suppliers. Our study provides a scientific inventory of frameworks, theories, models, and guidelines describing the adoption and diffusion of medical devices and equipment in low-resource settings.
Methods
We searched both the PubMed and Scopus databases to identify studies within the health and broader non-health domains. Our search yielded 2.124 results after de-duplication. Extended attributes on the type of the paper, adoption and diffusion focus, medical devices and equipment use cases, and country settings revealed patterns of underpinning and emerging frameworks for adoption and diffusion.
Results
We included 28 studies in our review. The most researched device types were telemedicine, telehealth, m-health, and e-health. Among a larger variety, the most utilized underpinning frameworks were the Diffusion of Innovation Framework, and the Technology Acceptance Model. These frameworks led to the development of emerging models, such as a modified version based on Kifle’s Adoption Model or the Intervention-Context-Actors-Mechanism-Outcome Model.
Conclusions
Our findings offer initial insights for further research in identifying mechanisms for improving access to and utilization of medical devices and equipment in low-resource settings. Researchers can use this comprehensive review to guide continued research, addressing gaps in theoretical understanding and empirical evidence on medical device adoption and diffusion in low-resource settings. ...
Properly functioning health systems globally require medical devices and equipment for vital care. Despite promising innovations, many medical devices face adoption barriers such as regulatory issues, interoperability and data exchange challenges. In low-resource settings, contextual factors influencing adoption and diffusion have not been synthesized into an overview to guide future medical device and equipment suppliers. Our study provides a scientific inventory of frameworks, theories, models, and guidelines describing the adoption and diffusion of medical devices and equipment in low-resource settings.
Methods
We searched both the PubMed and Scopus databases to identify studies within the health and broader non-health domains. Our search yielded 2.124 results after de-duplication. Extended attributes on the type of the paper, adoption and diffusion focus, medical devices and equipment use cases, and country settings revealed patterns of underpinning and emerging frameworks for adoption and diffusion.
Results
We included 28 studies in our review. The most researched device types were telemedicine, telehealth, m-health, and e-health. Among a larger variety, the most utilized underpinning frameworks were the Diffusion of Innovation Framework, and the Technology Acceptance Model. These frameworks led to the development of emerging models, such as a modified version based on Kifle’s Adoption Model or the Intervention-Context-Actors-Mechanism-Outcome Model.
Conclusions
Our findings offer initial insights for further research in identifying mechanisms for improving access to and utilization of medical devices and equipment in low-resource settings. Researchers can use this comprehensive review to guide continued research, addressing gaps in theoretical understanding and empirical evidence on medical device adoption and diffusion in low-resource settings.
Intensive care units (ICUs) contribute significantly to healthcare's environmental footprint, with medications playing a major role. This study performed a comprehensive Material Flow Analysis (MFA) of medications in a large academic ICU to quantify material flows and identify opportunities for sustainability.
Methods
A single-center MFA was conducted at a 50-bed ICU, analyzing all medications delivered in 2023. Medication and packaging components were weighed and categorized by active pharmaceutical ingredients (APIs), excipients, and packaging type. Total annual mass as well as daily medication and packaging waste per patient were calculated.
Results
The annual medication inflow totaled 234,337 kg, including 194,411 kg of medication content (5287 kg APIs, 189,124 kg excipients) and 39,923 kg of packaging. APIs constituted only 2.3% of the total medication mass. On average, patients received 89.5 medication units daily, totaling 5.0 kg of medication and generating 1.7 kg of packaging waste. Waste outflow comprised 194,413 kg to the sewage system, 21,894 kg for incineration, and 18,030 kg recycled, consisting primarily of continuous renal replacement therapy (CRRT) bags.
Conclusions
This MFA highlights significant opportunities to enhance ICU medication sustainability by targeting CRRT-related waste, optimizing fluid formulations to reduce excipient use, and minimizing packaging. These findings support the development of targeted interventions to reduce the environmental footprint of critical care. ...
Intensive care units (ICUs) contribute significantly to healthcare's environmental footprint, with medications playing a major role. This study performed a comprehensive Material Flow Analysis (MFA) of medications in a large academic ICU to quantify material flows and identify opportunities for sustainability.
Methods
A single-center MFA was conducted at a 50-bed ICU, analyzing all medications delivered in 2023. Medication and packaging components were weighed and categorized by active pharmaceutical ingredients (APIs), excipients, and packaging type. Total annual mass as well as daily medication and packaging waste per patient were calculated.
Results
The annual medication inflow totaled 234,337 kg, including 194,411 kg of medication content (5287 kg APIs, 189,124 kg excipients) and 39,923 kg of packaging. APIs constituted only 2.3% of the total medication mass. On average, patients received 89.5 medication units daily, totaling 5.0 kg of medication and generating 1.7 kg of packaging waste. Waste outflow comprised 194,413 kg to the sewage system, 21,894 kg for incineration, and 18,030 kg recycled, consisting primarily of continuous renal replacement therapy (CRRT) bags.
Conclusions
This MFA highlights significant opportunities to enhance ICU medication sustainability by targeting CRRT-related waste, optimizing fluid formulations to reduce excipient use, and minimizing packaging. These findings support the development of targeted interventions to reduce the environmental footprint of critical care.
Methods: In this study, we evaluated the performance of the AiDx Assist for the detection of S. mansoni eggs in stool samples and further validated the performance of the AiDx Assist for the detection of S. haematobium eggs in urine samples. Additionally, the potential of the AiDx Assist for the detection of other helminths in stool samples was explored. In total, 405 participants from an area endemic for both S. mansoni and S. haematobium provided stool and urine samples which were subjected to AiDx Assist (semi- and fully automated), while conventional microscopy was used as the diagnostic reference.
Results: Only samples with complete test results were included in the final analysis, resulting in 375 stool and 398 urine samples, of which 38.4% and 65.3% showed Schistosoma eggs by conventional microscopy. The collected images of the stool samples were retrospectively examined for other helminth eggs via manual analysis. For the detection of S. mansoni eggs, the sensitivity of the semi-automated AiDx Assist (86.8%) was significantly higher compared to the fully automated AiDx Assist (56.9%) while the specificity was comparable, with 81.4% and 86.8%, respectively. Retrospectively, eggs of Ascaris lumbricoides and Trichuris trichiura were visualized. For the examination of urine samples, a comparable sensitivity in the detection of S. haematobium eggs was found between the semi-and the fully automated modes of the AiDx Assist, showing 94.6% and 91.9%, respectively. Furthermore, the specificity was comparable, with 90.6%and 91.3% respectively.
Discussion: The AiDx Assist met the World Health Organization Target Product Profile criteria in terms of diagnostic accuracy for the detection of S. haematobium eggs in urine samples and performed modestly in the detection of S. mansoni eggs in stool samples. With some further improvements, it has the potential to become a valuable diagnostic tool for screening multiple helminth parasites in stool and urine samples. ...
Methods: In this study, we evaluated the performance of the AiDx Assist for the detection of S. mansoni eggs in stool samples and further validated the performance of the AiDx Assist for the detection of S. haematobium eggs in urine samples. Additionally, the potential of the AiDx Assist for the detection of other helminths in stool samples was explored. In total, 405 participants from an area endemic for both S. mansoni and S. haematobium provided stool and urine samples which were subjected to AiDx Assist (semi- and fully automated), while conventional microscopy was used as the diagnostic reference.
Results: Only samples with complete test results were included in the final analysis, resulting in 375 stool and 398 urine samples, of which 38.4% and 65.3% showed Schistosoma eggs by conventional microscopy. The collected images of the stool samples were retrospectively examined for other helminth eggs via manual analysis. For the detection of S. mansoni eggs, the sensitivity of the semi-automated AiDx Assist (86.8%) was significantly higher compared to the fully automated AiDx Assist (56.9%) while the specificity was comparable, with 81.4% and 86.8%, respectively. Retrospectively, eggs of Ascaris lumbricoides and Trichuris trichiura were visualized. For the examination of urine samples, a comparable sensitivity in the detection of S. haematobium eggs was found between the semi-and the fully automated modes of the AiDx Assist, showing 94.6% and 91.9%, respectively. Furthermore, the specificity was comparable, with 90.6%and 91.3% respectively.
Discussion: The AiDx Assist met the World Health Organization Target Product Profile criteria in terms of diagnostic accuracy for the detection of S. haematobium eggs in urine samples and performed modestly in the detection of S. mansoni eggs in stool samples. With some further improvements, it has the potential to become a valuable diagnostic tool for screening multiple helminth parasites in stool and urine samples.
The health care sector is among the most carbon-intensive sectors, contributing to societal problems like climate change. Previous research demonstrated that especially the use of personal protective equipment (e.g., aprons) in critical care contributes to this problem. To reduce personal protective equipment waste, new sustainable policies are needed.
Aims
Policies are only effective if people comply. Our aim is to examine whether compliance with sustainable policies in critical care can be increased through behavioural influencing. Specifically, we examined the effectiveness of two sets of nudges (i.e., a Prime + Visual prompt nudge and a Social norm nudge) on decreasing apron usage in an intensive care unit (ICU).
Study Design
We conducted a field experiment with a pre- and post-intervention measurement. Upon the introduction of the new sustainable policy, apron usage data were collected for 9 days before (132 observations) and 9 days after (114 observations) the nudge interventions were implemented.
Results
Neither the Prime + Visual prompt nudge, nor the Social norm nudge decreased apron usage.
Conclusions
While previous studies have found that primes, visual nudges and social norm nudges can increase sustainable behaviour, we did not find evidence for this in our ICU field experiment. Future research is needed to determine whether this null finding reflects reality, or whether it was due to methodological decisions and limitations of the presented experiment.
Relevance to Clinical Practice
The presented study highlights the importance of studying behavioural interventions that were previously proven successful in the lab and in other field contexts, in the complex setting of critical care. Results previously found in other contexts may not generalize directly to a critical care context. The unique characteristics of the critical care context also pose methodological challenges that may have affected the outcomes of this experiment. ...
The health care sector is among the most carbon-intensive sectors, contributing to societal problems like climate change. Previous research demonstrated that especially the use of personal protective equipment (e.g., aprons) in critical care contributes to this problem. To reduce personal protective equipment waste, new sustainable policies are needed.
Aims
Policies are only effective if people comply. Our aim is to examine whether compliance with sustainable policies in critical care can be increased through behavioural influencing. Specifically, we examined the effectiveness of two sets of nudges (i.e., a Prime + Visual prompt nudge and a Social norm nudge) on decreasing apron usage in an intensive care unit (ICU).
Study Design
We conducted a field experiment with a pre- and post-intervention measurement. Upon the introduction of the new sustainable policy, apron usage data were collected for 9 days before (132 observations) and 9 days after (114 observations) the nudge interventions were implemented.
Results
Neither the Prime + Visual prompt nudge, nor the Social norm nudge decreased apron usage.
Conclusions
While previous studies have found that primes, visual nudges and social norm nudges can increase sustainable behaviour, we did not find evidence for this in our ICU field experiment. Future research is needed to determine whether this null finding reflects reality, or whether it was due to methodological decisions and limitations of the presented experiment.
Relevance to Clinical Practice
The presented study highlights the importance of studying behavioural interventions that were previously proven successful in the lab and in other field contexts, in the complex setting of critical care. Results previously found in other contexts may not generalize directly to a critical care context. The unique characteristics of the critical care context also pose methodological challenges that may have affected the outcomes of this experiment.
Schistosomiasis and Soil Transmitted Helminthiasis Among School Age Children
Impact of 3–5 Annual Rounds of Mass Drug Administration in Ekiti State, Southwest Nigeria
Environmental impacts of artificial intelligence in health care
Considerations and recommendations
Purpose (stating the main purposes and research question): Anthropogenic resource use contributes to pollution, violent conflict over scarce resources, loss of biodiversity, and diminished quality of life for humans. Moreover, the “safe” amount of carbon dioxide—350 parts per million—has been exceeded. The health care industry is responsible for 4–5% of total world emissions,[i] which is similar to the global food sector.[ii] Health care carbon emissions come from health care infrastructures, supply chains and health care delivery. Increasingly, health care delivery is reliant on technologies which require the use of artificial intelligence to provide supportive care, such as triage algorithms, electronic patient records, and robotics.[iii] While these technological innovations have advanced health care significantly, they also contribute to the negative effects on the environment, among others, through carbon emissions. The environmental impacts of artificial intelligence (AI) in health care—in particular—are understudied. This research seeks to fill this gap. Methods: Our team ran an exploratory search in Scopus and PubMed to identify studies that integrate environmental sustainability, artificial intelligence, and health. Results: Our research initially yielded 735 studies. 77 of these studies focused on an environmental concern of a health technology or AI-application in a health care setting, but most of the articles in this subset addressed lowering energy consumption of a specific technology, such as a sensor or monitoring technology. Conclusions: While there have been studies looking at AI in health care; sustainability in AI; and sustainability in health care, little attention has been paid to the interface between all three. [i] Karliner, J., Slotterback, S., Boyd, R., Ashby, B., & Steele, K. 2019. Health Care’s Climate Footprint: How the Health Sector Contributes to the Global Climate Crisis and Opportunities for Action Healthcare Without HarmARUP; September. [ii] Pichler, P. P., Jaccard, I. S., Weisz, U., & Weisz, H. 2019 International Comparison of Health Care Carbon Footprints, Environmental Research Letters 14, no. 6: 064004. [iii] Khaliq, Abdul, Ali Waqas, Qasim Ali Nisar, Shahbaz Haider, and Zunaina Asghar. 2022. Application of AI and robotics in hospitality sector: A resource gain and resource loss perspective. Technology in Society 68: 101807.
Negative Pressure Wound Therapy (NPWT) is a treatment that promotes healing of chronic wounds. Despite high prevalence of chronic wounds in Low- and Middle-Income Countries (LMICs), NPWT devices are not available nor affordable. This study aims to improve chronic wound care in LMICs by presenting the Wound Care (WOCA) system, designed for building, testing and use in LMICs. Design requirements were formulated using input from literature, ISO standards, and wound care experts. The WOCA design was developed to provide safe, portable, user-friendly and affordable NPWT to patients in LMICs. The design features an adjustable operating pressure ranging from −75 to −125 mmHg, a battery for portability, a 300 ml canister, overflow protection, and system state alarms. An Arduino controls the pressure and monitors the system state. Three prototypes were developed and built in Nepal, and their performance was evaluated. Pressure control was 125 ± 10 % mmHg, internal leakage was 7.5 ± 4.3 mmHg/min, reserve capacity was 189 ± 16.9 ml/min, and overflow protection and alarm systems were effectively working. Prototype cost was approximately 280 USD. The WOCA demonstrates to be a locally producible NPWT device that can safely generate a stable vacuum. Future research will include clinical trials situated in LMICs.
Validation of a novel medical device (Chloe SED®) for the administration of analgesia during manual vacuum aspiration
A randomized controlled non-inferiority pilot study
Methods: We conducted a single-blinded, randomized controlled non-inferiority trial including 61 patients at two hospitals in Kisumu, Kenya, to validate Chloe SED® for administration of PCB during MVA. PCB administered with Chloe SED® was compared to PCB administered with a standard spinal needle. Patients requiring MVA were block randomized in blocks of six, each provider completing six PCBs—three with the Chloe SED® and three with the standard spinal needle. The trial was registered with the Kenya Pharmacy and Poisons Board, ECCT/19/03/01 (https://ctr.pharmacyboardkenya.org/applications/index/protocol_no:RUNDVC8xOS8wMy8wMQ__/filter:/investigator:/sites:/pages:5/start_date:/end_date:/disease_condition:/users:/ercs:/stages). An intention-to-treat analysis was completed. The primary outcome was the non-inferiority of the pain score during uterine evacuation with a non-inferiority margin of 2 points on an 11-point numerical rating scale. Secondary outcomes included the non-inferiority of the pain score at four other time points and patient satisfaction.
Results: Chloe SED® showed non-inferiority of the primary outcome with a mean pain score during evacuation of 3.8 [90% confidence interval (CI): 3.1–4.6] compared with the spinal needle at 4.1 (90% CI: 3.5–4.7). Non-inferiority of the pain score was shown at all time points. Most patients expressed a desire for the continued use of the device to administer PCB for MVA. No adverse events were noted.
Conclusion: In summary, the Chloe SED® appears non-inferior to the spinal needle and desirable for the administration of PCB during MVA. ...
Methods: We conducted a single-blinded, randomized controlled non-inferiority trial including 61 patients at two hospitals in Kisumu, Kenya, to validate Chloe SED® for administration of PCB during MVA. PCB administered with Chloe SED® was compared to PCB administered with a standard spinal needle. Patients requiring MVA were block randomized in blocks of six, each provider completing six PCBs—three with the Chloe SED® and three with the standard spinal needle. The trial was registered with the Kenya Pharmacy and Poisons Board, ECCT/19/03/01 (https://ctr.pharmacyboardkenya.org/applications/index/protocol_no:RUNDVC8xOS8wMy8wMQ__/filter:/investigator:/sites:/pages:5/start_date:/end_date:/disease_condition:/users:/ercs:/stages). An intention-to-treat analysis was completed. The primary outcome was the non-inferiority of the pain score during uterine evacuation with a non-inferiority margin of 2 points on an 11-point numerical rating scale. Secondary outcomes included the non-inferiority of the pain score at four other time points and patient satisfaction.
Results: Chloe SED® showed non-inferiority of the primary outcome with a mean pain score during evacuation of 3.8 [90% confidence interval (CI): 3.1–4.6] compared with the spinal needle at 4.1 (90% CI: 3.5–4.7). Non-inferiority of the pain score was shown at all time points. Most patients expressed a desire for the continued use of the device to administer PCB for MVA. No adverse events were noted.
Conclusion: In summary, the Chloe SED® appears non-inferior to the spinal needle and desirable for the administration of PCB during MVA.
Towards Circular ICUs
Circular Intubations as a Catalyser for Systemic Change
Schistosomiasis is a significant public health concern, especially in Sub-Saharan Africa. Conventional microscopy is the standard diagnostic method in resource-limited settings, but with limitations, such as the need for expert microscopists. An automated digital microscope with artificial intelligence (Schistoscope), offers a potential solution. This field study aimed to validate the diagnostic performance of the Schistoscope for detecting and quantifying Schistosoma haematobium eggs in urine compared to conventional microscopy and to a composite reference standard (CRS) consisting of real-time PCR and the up-converting particle (UCP) lateral flow (LF) test for the detection of schistosome circulating anodic antigen (CAA).
Methods
Based on a non-inferiority concept, the Schistoscope was evaluated in two parts: study A, consisting of 339 freshly collected urine samples and study B, consisting of 798 fresh urine samples that were also banked as slides for analysis with the Schistoscope. In both studies, the Schistoscope, conventional microscopy, real-time PCR and UCP-LF CAA were performed and samples with all the diagnostic test results were included in the analysis. All diagnostic procedures were performed in a laboratory located in a rural area of Gabon, endemic for S. haematobium.
Results
In study A and B, the Schistoscope demonstrated a sensitivity of 83.1% and 96.3% compared to conventional microscopy, and 62.9% and 78.0% compared to the CRS. The sensitivity of conventional microscopy in study A and B compared to the CRS was 61.9% and 75.2%, respectively, comparable to the Schistoscope. The specificity of the Schistoscope in study A (78.8%) was significantly lower than that of conventional microscopy (96.4%) based on the CRS but comparable in study B (90.9% and 98.0%, respectively).
Conclusion
Overall, the performance of the Schistoscope was non-inferior to conventional microscopy with a comparable sensitivity, although the specificity varied. The Schistoscope shows promising diagnostic accuracy, particularly for samples with moderate to higher infection intensities as well as for banked sample slides, highlighting the potential for retrospective analysis in resource-limited settings. ...
Schistosomiasis is a significant public health concern, especially in Sub-Saharan Africa. Conventional microscopy is the standard diagnostic method in resource-limited settings, but with limitations, such as the need for expert microscopists. An automated digital microscope with artificial intelligence (Schistoscope), offers a potential solution. This field study aimed to validate the diagnostic performance of the Schistoscope for detecting and quantifying Schistosoma haematobium eggs in urine compared to conventional microscopy and to a composite reference standard (CRS) consisting of real-time PCR and the up-converting particle (UCP) lateral flow (LF) test for the detection of schistosome circulating anodic antigen (CAA).
Methods
Based on a non-inferiority concept, the Schistoscope was evaluated in two parts: study A, consisting of 339 freshly collected urine samples and study B, consisting of 798 fresh urine samples that were also banked as slides for analysis with the Schistoscope. In both studies, the Schistoscope, conventional microscopy, real-time PCR and UCP-LF CAA were performed and samples with all the diagnostic test results were included in the analysis. All diagnostic procedures were performed in a laboratory located in a rural area of Gabon, endemic for S. haematobium.
Results
In study A and B, the Schistoscope demonstrated a sensitivity of 83.1% and 96.3% compared to conventional microscopy, and 62.9% and 78.0% compared to the CRS. The sensitivity of conventional microscopy in study A and B compared to the CRS was 61.9% and 75.2%, respectively, comparable to the Schistoscope. The specificity of the Schistoscope in study A (78.8%) was significantly lower than that of conventional microscopy (96.4%) based on the CRS but comparable in study B (90.9% and 98.0%, respectively).
Conclusion
Overall, the performance of the Schistoscope was non-inferior to conventional microscopy with a comparable sensitivity, although the specificity varied. The Schistoscope shows promising diagnostic accuracy, particularly for samples with moderate to higher infection intensities as well as for banked sample slides, highlighting the potential for retrospective analysis in resource-limited settings.
Design thinking is an innovation approach for organisations aiming to solve complex and open-ended problems, including those arising in the transition from a linear to a circular economic system. Although the importance has been recognised in business and academia, to date, insight is lacking on how design thinking can be applied within circular innovation specifically. We investigate the following research question: How can design thinking tools catalyse sustainable circular innovation? Based on the literature, we first create a framework that characterises design thinking principles, criteria and phases that could support circular innovation. The design thinking phases are ideate and design, implement and test, and evaluate and improve. The criteria include desirability, feasibility, viability and sustainability, and circularity. Finally, we identify the following principles that make design thinking suitable to tackle complex circular innovation challenges: human-centred, future-oriented, holistic, co-creative, and experimental. Consequently, against this framework, we map 11 tools that are suitable to catalyse circular innovation theory into practice through design thinking. Finally, we reflect on the future of research and practice around this subject.