Sequential Assessment of External Nasal Deviation Angle Changes in Patients With a Deviated Nose Who Underwent Bilateral Osteotomy.

OBJECTIVE: A deviated nose is traditionally classified as bony, cartilaginous, or combined deviation. Osteotomy is commonly used to correct bony deviation, and accurate surgical techniques and postoperative patient management are important for favorable outcomes. The authors investigated the change in the external nasal deviation angle over time using sequential clinical photographs to identify the optimal postoperative follow-up duration. METHODS: Medical records and sequential standardized clinical photographs of 22 patients who underwent bilateral medial and lateral osteotomies without dorsal augmentation from January 1, 2014 to May 31, 2021, were retrospectively reviewed. Clinical photographs were classified into 4 periods: "a" preoperative, "b" postoperative day (POD) ≤3 weeks, "c" POD ≤9 weeks, and "d" POD >9 weeks. The angle of deviation (AoD) was measured in both frontal and chin-on-chest views for each period. Differences in AoD between temporally adjacent periods were analyzed. RESULTS: Nineteen men and 3 women (mean age: 28.8 y) were included. Thirteen patients showed rightward deviation, whereas 9 showed leftward deviation. Eleven patients underwent surgery through an endonasal approach, whereas the other 11 underwent surgery through an external approach. In the frontal view, AoD differences (mean ± SD) between periods "a" and "b," "b" and "c," and "c" and "d" were 5.79 ± 3.36 degrees (P < 0.001), 1.44 ± 1.14 degrees (P < 0.001), and 1.07 ± 1.24 degrees (P < 0.05), respectively. In the chin-on-chest view, the values were 5.17 ± 2.69 degrees (P < 0.001), 2.06 ± 2.63 degrees (P < 0.001), and 1.46 ± 1.31 degrees (P < 0.001), respectively. No statistically significant difference in AoD differences was observed between the two approaches. CONCLUSIONS: Angle of deviation can change even 9 weeks after bilateral osteotomy. Thus, long-term follow-up using sequential clinical photographs is mandatory. If needed, close follow-up with early postoperative interventions may be required. The chin-on-chest view showed better sensitivity for assessing AoD than the frontal view.

The relevance and accuracy of an AI algorithm-based descriptor on 23 facial attributes in a diverse female US population.

BACKGROUND: The response of AI in situations that mimic real life scenarios is poorly explored in populations of high diversity. OBJECTIVE: To assess the accuracy and validate the relevance of an automated, algorithm-based analysis geared toward facial attributes devoted to the adornment routines of women. METHODS: In a cross-sectional study, two diversified groups presenting similar distributions such as age, ancestry, skin phototype, and geographical location was created from the selfie images of 1041 female in a US population. 521 images were analyzed as part of a new training dataset aimed to improve the original algorithm and 520 were aimed to validate the performance of the AI. From a total 23 facial attributes (16 continuous and 7 categorical), all images were analyzed by 24 make-up experts and by the automated descriptor tool. RESULTS: For all facial attributes, the new and the original automated tool both surpassed the grading of the experts on a diverse population of women. For the 16 continuous attributes, the gradings obtained by the new system strongly correlated with the assessment made by make-up experts (r ≥ 0.80; p < 0.0001) and supported by a low error rate. For the seven categorical attributes, the overall accuracy of the AI-facial descriptor was improved via enrichment of the training dataset. However, some weaker performance in spotting specific facial attributes were noted. CONCLUSION: In conclusion, the AI-automatic facial descriptor tool was deemed accurate for analysis of facial attributes for diverse women although some skin complexion, eye color, and hair features required some further finetuning.

The Representation of Skin Tones in Google Images of Skin Cancers.

Skin self-examinations play a vital role in skin cancer detection and are often aided by online resources. Available reference photos must display the full spectrum of skin tones so patients may visualize how skin lesions can appear. This study investigated the portrayal of skin tones in skin cancer-related Google Images, discovering a significant underrepresentation of darker skin tones. J Drugs Dermatol. 2024;23(5):e132-e133.     doi:10.36849/JDD.7886e.

Skin Tone Representation on Patient-Facing Skin Cancer Education Websites.

When patients self-detect suspicious skin lesions, they often reference online photos prior to seeking medical evaluation. Online images must be available in the full spectrum of skin tones to provide accurate visualizations of disease, especially given the increased morbidity and mortality from skin cancer in patients with darker skin tones. The purpose of this study was to evaluate the representation of skin tones in photos of skin cancer on patient-facing websites. Six federally-based and organization websites were evaluated, and of the 372 total representations identified only 49 depicted darker skin tones (13.2%). This highlights the need to improve skin tone representation on patient-facing online resources. J Drugs Dermatol. 2024;23(5):e137-e138.     doi:10.36849/JDD.7905e.

The color of fruits in photographs and still life paintings.

Still life paintings comprise a wealth of data on visual perception. Prior work has shown that the color statistics of objects show a marked bias for warm colors. Here, we ask about the relative chromatic contrast of these object-associated colors compared with background colors in still life paintings. We reasoned that, owing to the memory color effect, where the color of familiar objects is perceived more saturated, warm colors will be relatively more saturated than cool colors in still life paintings as compared with photographs. We analyzed color in 108 slides of still life paintings of fruit from the teaching slide collection of the Fogg University Art Museum and 41 color-calibrated photographs of fruit from the McGill data set. The results show that the relatively higher chromatic contrast of warm colors was greater for paintings compared with photographs, consistent with the hypothesis.

Early diagnosis of melanoma: a randomized trial assessing the impact of the transmission of photographs taken with a smartphone from the general practitioner to the dermatologist on the time to dermatological consultation.

BACKGROUND: Difficulty obtaining a dermatological consultation is an obstacle to the early diagnosis of melanoma. On the one hand, patients survival depends on the lesion thickness at the time of diagnosis. On the other hand, dermatologists treat many patients with benign lesions. Optimizing patient care pathways is a major concern. The aim of the present study was to assess whether the e-mail transmission of photographs of suspected melanoma lesions between general practitioners (GPs) and dermatologists reduces the time to dermatological consultation for patients whose suspicious skin lesions ultimately require resection. METHODS: We conducted a cluster-randomized controlled study in primary care involving 51 French GPs between April 2017 and August 2019. A total of 250 patients referred to a dermatologist for a suspected melanoma lesion were included GPs were randomized to either the smartphone arm or the usual care arm. In the smartphone arm, the GPs referred patients to the dermatologist by sending 2 photographs of the suspicious lesion using their smartphone. The dermatologist then had to set up an appointment at an appropriate time. In the usual care arm, GPs referred patients to a dermatologist according to their usual practice. The primary outcome was the time to dermatological consultation for patients whose lesion ultimately required resection. RESULTS: 57 GPs volunteered were randomized (27 to the smartphone arm, and 30 to the usual care arm). A total of 125 patients were included in each arm (mean age: 49.8 years; 53% women) and followed 8 months. Twenty-three dermatologists participated in the study. The time to dermatological consultation for patients whose suspicious skin lesion required resection was 56.5 days in the smartphone arm and 63.7 days in the usual care arm (mean adjusted time reduction: -18.5 days, 95% CI [-74.1;23.5], p = .53). CONCLUSIONS: The e-mail transmission of photographs from GPs to dermatologists did not improve the dermatological management of patients whose suspicious skin lesions ultimately required resection. Further research is needed to validate quality criteria that might be useful for tele-expertise in dermatology. TRIAL REGISTRATION: Registered on ClinicalTrials.gov under reference number NCT03137511 (May 2, 2017).

Comparisons between Caucasian-validated photo-numeric scales and Korean-validated photo-numeric scales for photo-ageing. Insights from the Singapore/Malaysia cross-sectional genetics epidemiology study (SMCGES) cohort.

BACKGROUND: Photo-ageing is a form of skin ageing which affects the entire face. A photo-aged skin has a diverse variety of wrinkles and dyspigmentation all over the face. Here, we discuss photo-ageing on the Chinese skin evaluated using a photo-numeric scale developed and validated on Caucasian skin (i.e., Caucasian scale) and evaluated using a photo-numeric scale developed and validated on Korean skin (i.e., Korean scale). The Korean scale can be subdivided into two scales that separately address the wrinkling and dyspigmentation constituents of photo-ageing. AIM: As there are currently no photo-ageing scales for Chinese skin, the main objective of this study is to adapt existing photo-ageing photo-numeric scales for use on ethnic Chinese skin. METHOD: Three trained assessors studied facial photo-ageing on 1,081 ethnic Chinese young adults from the Singapore/Malaysia Cross-sectional Genetics Epidemiology Study (SMCGES) cohort. RESULTS: All assessors are highly internally consistent (Weighted Kappa (κw) values≥0.952). We found that the Caucasian scale and Korean scale give nearly synonymous results for the wrinkling constituent of photo-ageing (R2 = 0.9386). The two scales are strongly concordant (Spearman's Rank Correlation (ρ) value: 0.62 ± 0.06, p = 1.31×10-84). A weak-to-moderate inter-scalar level of agreement (Cohen's Kappa (κ) values: 0.38 ± 0.05, p = 8.87×10-53) persists and is statistically significant after accounting for agreements due to chance. When tested on ethnic Chinese skin, both scales detect photo-ageing consistently (Area under curve [AUC] values: 0.76-0.84). Additionally, the Korean scale for the dyspigmentation constituent of photo-ageing is concordant with both the Caucasian scale (R2 = 0.7888) and the Korean scale for the wrinkling constituent of photo-ageing (R2 = 0.7734). CONCLUSION: Our results show that the Caucasian scale is suitable for capturing photo-ageing on Chinese skin, especially wrinkle variations. The Korean dyspigmentation scale supplements the Caucasian scale to capture dyspigmentation patterns on Chinese skin that may be absent on Caucasian skin. Currently, photo-ageing scales for Chinese skin are absent. When developed, these photo-ageing scales must be properly validated for their ability to capture photo-ageing of the entire face.

Build Deep Neural Network Models to Detect Common Edible Nuts from Photos and Estimate Nutrient Portfolio.

Nuts are nutrient-dense foods and can be incorporated into a healthy diet. Artificial intelligence-powered diet-tracking apps may promote nut consumption by providing real-time, accurate nutrition information but depend on data and model availability. Our team developed a dataset comprising 1380 photographs, each in RGB color format and with a resolution of 4032 × 3024 pixels. These images feature 11 types of nuts that are commonly consumed. Each photo includes three nut types; each type consists of 2-4 nuts, so 6-9 nuts are in each image. Rectangular bounding boxes were drawn using a visual geometry group (VGG) image annotator to facilitate the identification of each nut, delineating their locations within the images. This approach renders the dataset an excellent resource for training models capable of multi-label classification and object detection, as it was meticulously divided into training, validation, and test subsets. Utilizing transfer learning in Python with the IceVision framework, deep neural network models were adeptly trained to recognize and pinpoint the nuts depicted in the photographs. The ultimate model exhibited a mean average precision of 0.7596 in identifying various nut types within the validation subset and demonstrated a 97.9% accuracy rate in determining the number and kinds of nuts present in the test subset. By integrating specific nutritional data for each type of nut, the model can precisely (with error margins ranging from 0.8 to 2.6%) calculate the combined nutritional content-encompassing total energy, proteins, carbohydrates, fats (total and saturated), fiber, vitamin E, and essential minerals like magnesium, phosphorus, copper, manganese, and selenium-of the nuts shown in a photograph. Both the dataset and the model have been made publicly available to foster data exchange and the spread of knowledge. Our research underscores the potential of leveraging photographs for automated nut calorie and nutritional content estimation, paving the way for the creation of dietary tracking applications that offer real-time, precise nutritional insights to encourage nut consumption.

Optical Camera Communications in Healthcare: A Wearable LED Transmitter Evaluation during Indoor Physical Exercise.

This paper presents an experimental evaluation of a wearable light-emitting diode (LED) transmitter in an optical camera communications (OCC) system. The evaluation is conducted under conditions of controlled user movement during indoor physical exercise, encompassing both mild and intense exercise scenarios. We introduce an image processing algorithm designed to identify a template signal transmitted by the LED and detected within the image. To enhance this process, we utilize the dynamics of controlled exercise-induced motion to limit the tracking process to a smaller region within the image. We demonstrate the feasibility of detecting the transmitting source within the frames, and thus limit the tracking process to a smaller region within the image, achieving an reduction of 87.3% for mild exercise and 79.0% for intense exercise.

Convolutional Neural Network-Based Prediction of Axial Length Using Color Fundus Photography.

Purpose: To develop convolutional neural network (CNN)-based models for predicting the axial length (AL) using color fundus photography (CFP) and explore associated clinical and structural characteristics. Methods: This study enrolled 1105 fundus images from 467 participants with ALs ranging from 19.91 to 32.59 mm, obtained at National Taiwan University Hospital between 2020 and 2021. The AL measurements obtained from a scanning laser interferometer served as the gold standard. The accuracy of prediction was compared among CNN-based models with different inputs, including CFP, age, and/or sex. Heatmaps were interpreted by integrated gradients. Results: Using age, sex, and CFP as input, the mean ± standard deviation absolute error (MAE) for AL prediction by the model was 0.771 ± 0.128 mm, outperforming models that used age and sex alone (1.263 ± 0.115 mm; P < 0.001) and CFP alone (0.831 ± 0.216 mm; P = 0.016) by 39.0% and 7.31%, respectively. The removal of relatively poor-quality CFPs resulted in a slight MAE reduction to 0.759 ± 0.120 mm without statistical significance (P = 0.24). The inclusion of age and CFP improved prediction accuracy by 5.59% (P = 0.043), while adding sex had no significant improvement (P = 0.41). The optic disc and temporal peripapillary area were highlighted as the focused areas on the heatmaps. Conclusions: Deep learning-based prediction of AL using CFP was fairly accurate and enhanced by age inclusion. The optic disc and temporal peripapillary area may contain crucial structural information for AL prediction in CFP. Translational Relevance: This study might aid AL assessments and the understanding of the morphologic characteristics of the fundus related to AL.

Accuracy of digital measurement for quantitative and qualitative indicators of wound healing and repair: a systematic review protocol.

INTRODUCTION: Chronic wound care remains a critical public health challenge in terms of prevalence, quality of life and healthcare costs on a global scale. Currently used methods to assess the size and content of wounds include direct contact techniques based on double-layer film, ruler measurements, digital photography and visual examination. Nowadays, despite these evaluations, close monitoring and tracking of these chronic wounds remain a great challenge. The use of telemonitoring through digital measurement tools may offer a potential means of improving healing management processes. Many studies have evaluated the size and content of the wound through digital devices such as mobile phones and computers. However, the clinical accuracy of these tools remains to be clarified. The objective of this systematic review is to assess and consolidate the current state-of-the-art digital devices for both quantitative (length, width, surface area, perimeter, volume and depth) and qualitative (granulation, fibrin, necrosis and slough) indicators of wound care. METHODS AND ANALYSIS: We will include studies using digital measurement methods from databases such as EBSCO, Cochrane Library, MEDLINE, Web of Science and EMBASE, limited to French and English publications until November 15, 2023. Following the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines, selection involves two independent reviewers conducting title and abstract screenings, study selections, data extractions and risk-of-bias assessments using QUADAS-2. Discrepancies will be resolved through discussion or a third reviewer. ETHICS AND DISSEMINATION: Primary data will not be collected in this study; thus, ethical approval will not be required. The study's findings will be published in a peer-reviewed journal. PROSPERO REGISTRATION NUMBER: CRD42023396642.

On the advantages of using AI-generated images of filler faces for creating fair lineups.

Recent advances in artificial intelligence (AI) enable the generation of realistic facial images that can be used in police lineups. The use of AI image generation offers pragmatic advantages in that it allows practitioners to generate filler images directly from the description of the culprit using text-to-image generation, avoids the violation of identity rights of natural persons who are not suspects and eliminates the constraints of being bound to a database with a limited set of photographs. However, the risk exists that using AI-generated filler images provokes more biased selection of the suspect if eyewitnesses are able to distinguish AI-generated filler images from the photograph of the suspect's face. Using a model-based analysis, we compared biased suspect selection directly between lineups with AI-generated filler images and lineups with database-derived filler photographs. The results show that the lineups with AI-generated filler images were perfectly fair and, in fact, led to less biased suspect selection than the lineups with database-derived filler photographs used in previous experiments. These results are encouraging with regard to the potential of AI image generation for constructing fair lineups which should inspire more systematic research on the feasibility of adopting AI technology in forensic settings.

Photographic Parameters in Three-Dimensional Facial Image Acquisition. A Scoping Review.

OBJECTIVE: Orthognathic surgery is a viable and reproducible treatment for facial deformities. Despite the precision of the skeletal planning of surgical procedures, there is little information about the relations between hard and soft tissues in three-dimensional (3D) analysis, resulting in unpredictable soft tissue outcomes. Three-dimensional photography is a viable tool for soft tissue analysis because it is easy to use, has wide availability, low cost, and is harmless. This review aims to establish parameters for acquiring consistent and reproducible 3D facial images. METHODS: A scoping review was conducted across PubMed, SCOPUS, Scientific Electronic Library Online (SciELO), and Web of Science databases, adhering to "Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews" guidelines. Articles presenting 3D facial photographs in the diagnostic phase were considered. RESULTS: A total of 79 articles were identified, of which 29 were selected for analysis. CONCLUSION: The predominant use of automated systems like 3dMD and VECTRA M3 was noted. User positioning has highest agreement among authors. Noteworthy aspects include the importance of proper lighting, facial expression, and dental positioning, with observed discrepancies and inconsistencies among authors. Finally, the authors proposed a 3D image acquisition protocol based on this research findings.

Meaning-focused coping as a cultural process: A mixed quantitative and PhotoVoice study of adolescents with Arab backgrounds overcoming stigma and harassment.

Poor mental health among U.S. adolescents has reach epidemic proportions, with those from the Middle East and North African region exhibiting increased risk for distress and suicide ideation. This mixed-methods study analyzes quantitative data from first- and second-generation Arab adolescents (n = 171) and qualitative data from a participatory study conducted with 11 adolescents of the same population to understand the role of cultural resources in coping. Drawing on the Intersectional Theory of Cultural Repertoires in Health, we show that: 1) cultural resources underlie meaning-making throughout coping; 2) coping strategies are inseparable from the influence of peer and familial relationships, as dictated through the social norms and other cultural resources; 3) collectively held repertoires of coping can promote belonging, affirm identity, and protect against discrimination; and 4) the outcomes of coping strategies, and the culturally informed meaning individuals make of these outcomes, influence their future coping behaviors.

Tande nou gwonde! (Hear us roar!)- Youth perspectives of maternal near-misses: Protocol for a photovoice study of young childbearing people's perspectives of maternal near-misses in northwest Haiti.

INTRODUCTION: Globally, a shift is occurring to recognize the importance of young peoples' health and well-being, their unique health challenges, and the potential they hold as key drivers of change in their communities. In Haiti, one of the four leading causes of death for those 20-24 years old is pregnancy, childbirth, and the weeks after birth or at the end of a pregnancy. Important gaps remain in existing knowledge about youth perspectives of maternal health and well-being within their communities. Youth with lived experiences of maternal near-misses are well-positioned to contribute to the understanding of maternal health in their communities and their potential role in bringing about change. OBJECTIVES: To explore and understand youth perspectives of maternal near-miss experiences that occurred in a local healthcare facility or at home in rural Haiti. METHODS: We will conduct a qualitative, community-based participatory research study regarding maternal near-miss experiences to understand current challenges and identify solutions to improve community maternal health, specifically focused on youth maternal health. We will use Photovoice to seek an understanding of the lived experiences of youth maternal near-miss survivors. Participants will be from La Pointe, a Haitian community served by their local healthcare facility. We will undertake purposeful sampling to recruit approximately 20 female youth, aged 15-24 years. Data will be generated through photos, individual interviews and small group discussions (grouped by setting of near-miss experience). Data generation and analysis are expected to occur over a three-month period. ETHICS AND DISSEMINATION: Ethics approval will be sought from Centre Médical Béraca in La Pointe, Haiti, and from the Hamilton Integrated Research Ethics Board in Hamilton ON, Canada. We will involve community stakeholders, especially youth, in developing dissemination and knowledge mobilisation strategies. Our findings will be disseminated as an open access publication, be presented publicly, at conferences, and defended as part of a doctoral thesis.

Comparison of 21 artificial intelligence algorithms in automated diabetic retinopathy screening using handheld fundus camera.

BACKGROUND: Diabetic retinopathy (DR) is a common complication of diabetes and may lead to irreversible visual loss. Efficient screening and improved treatment of both diabetes and DR have amended visual prognosis for DR. The number of patients with diabetes is increasing and telemedicine, mobile handheld devices and automated solutions may alleviate the burden for healthcare. We compared the performance of 21 artificial intelligence (AI) algorithms for referable DR screening in datasets taken by handheld Optomed Aurora fundus camera in a real-world setting. PATIENTS AND METHODS: Prospective study of 156 patients (312 eyes) attending DR screening and follow-up. Both papilla- and macula-centred 50° fundus images were taken from each eye. DR was graded by experienced ophthalmologists and 21 AI algorithms. RESULTS: Most eyes, 183 out of 312 (58.7%), had no DR and mild NPDR was noted in 21 (6.7%) of the eyes. Moderate NPDR was detected in 66 (21.2%) of the eyes, severe NPDR in 1 (0.3%), and PDR in 41 (13.1%) composing a group of 34.6% of eyes with referable DR. The AI algorithms achieved a mean agreement of 79.4% for referable DR, but the results varied from 49.4% to 92.3%. The mean sensitivity for referable DR was 77.5% (95% CI 69.1-85.8) and specificity 80.6% (95% CI 72.1-89.2). The rate for images ungradable by AI varied from 0% to 28.2% (mean 1.9%). Nineteen out of 21 (90.5%) AI algorithms resulted in grading for DR at least in 98% of the images. CONCLUSIONS: Fundus images captured with Optomed Aurora were suitable for DR screening. The performance of the AI algorithms varied considerably emphasizing the need for external validation of screening algorithms in real-world settings before their clinical application.

What is already known on this topic? Diabetic retinopathy (DR) is a common complication of diabetes. Efficient screening and timely treatment are important to avoid the development of sight-threatening DR. The increasing number of patients with diabetes and DR poses a challenge for healthcare.What this study adds? Telemedicine, mobile handheld devices and artificial intelligence (AI)-based automated algorithms are likely to alleviate the burden by improving efficacy of DR screening programs. Reliable algorithms of high quality exist despite the variability between the solutions.How this study might affect research, practice or policy? AI algorithms improve the efficacy of screening and might be implemented to clinical use after thorough validation in a real-life setting.

The Asymmetry Within: A Renewed Look at Cupids Bow in Unilateral Cleft Lip.

The purpose of this study is to analyze the angular variations within Cupid's bow in patients with unoperated unilateral cleft lip (UCL). Angular features of Cupid's bow were quantified in standardized presurgical photographs of children with UCL by 5 medical professionals specializing in craniofacial anomalies. The peaks and valley of Cupid's bow were identified. A cleft side (CSA) and a noncleft side angle (NCSA) were delineated and measured by each expert. The data was pooled, and the angles were analyzed for symmetry. Cupid's bow asymmetry was defined as a difference between NCSA and CSA ≥3°. Of the 37 patients studied, 29 were found to have asymmetry of Cupid's bow with an average angle difference of 8.0° (95% CI: 6.6°-9.5°). Within this group,15 patients were found with acute asymmetry and 14 with obtuse asymmetry. Geometric analysis was performed on an example of a patient with acute asymmetry to demonstrate how correction of asymmetry can be considered during surgical repair. There is an asymmetry that exists in the Cupid's bow of a significant number of patients with unoperated UCL. This finding not only adds to our understanding of UCL but may also have important implications when selecting the method/technique of surgical repair.

Experiences of Food Insecurity Among Pregnant Adolescents and Adolescent Mothers in Ghana: A Photovoice Method.

Objectives: Food insecurity (FI) remains a major public health problem globally. However, there is limited information about adolescents' experiences. The current study explored FI experiences of pregnant adolescents and adolescent mothers in Cape Coast, Ghana using a Photovoice method. Methods: This study recruited 34 pregnant adolescents and adolescent mothers from communities in Cape Coast, Ghana. Each participated in a training session then was provided prompts to take photos that portrayed food access barriers, facilitators and coping strategies. In a debrief session, each participant selected two pictures they took and explained the image, followed by a group discussion of the selected photos. Debrief sessions were audio recorded and transcribed verbatim to develop themes using a theory-driven approach. Results: Most participants reported several or many experiences with FI (64.7%) in the previous month. Participants discussed money, unwanted pregnancy, and unstable work as barriers to obtaining food and working, selling goods, and family support as facilitators to obtaining food. Coping strategies mentioned include providing services to others, borrowing food and goods, meal stretching, pawning personal items and trading. Conclusion: The FI experience of this population is complex; interventions, including trade training or school retention, should be multifaceted.

Politicizing Children's Play: A Community Photovoice Process to Transform a School Playground.

IMPORTANCE:  Contextual elements at school playgrounds compromise the right to play. An occupation-based social transformation project to foster occupational justice in play at a school playground was conducted. OBJECTIVE:  To better understand barriers to and facilitators of children's participation in occupations at the school playground to co-create actions that enable play.  Design: A participatory methodology-Photovoice-was used. The research consisted of four phases: involving the community in the research design, community-led data generation and analysis, discussion of findings to increase the community's awareness, and a community agenda for changing the playground. SETTING: Public primary school playground in northwest Spain. PARTICIPANTS: All children (n = 450, ages 3-12 yr), families (n = 12), and teachers (n = 15) participated. A thematic analysis of visual, textual, and oral material was conducted, including member checking.  Results: The study revealed several barriers to play, including the short recess duration, poor floor (surface) conditions, jail-like atmosphere, and violence. However, participants identified an ad hoc lending games system and playground murals advocating for children's rights as facilitators. These findings have direct implications for improving the play environment. CONCLUSIONS AND RELEVANCE:  Conflicting priorities between children's and adults' desires and needs for the playground were unveiled, displaying the relevance of invisible contexts (i.e., social or institutional contexts) in shaping play opportunities. A critical occupational stance combined with a participatory and playful methodology generated space to unveil these conflicting priorities, reconcile agendas, raise awareness, and propose collective actions to transform the playground. Plain-Language Summary: Playing is fundamental to children's development and inclusion. This study focused on making school playgrounds better places for kids to play. Researchers found that things such as short playtimes, bad playground conditions, and violence made it tough for kids to enjoy playing, but they also discovered some good things, such as a system for borrowing games and colorful murals promoting children' rights. These findings show that changing the playground's physical and social environment can make a big difference for kids. By listening to kids and working together, adults and children can create playgrounds where all kids can play meaningfully and safely. Occupational therapists can promote such processes.