The stakes are considerable. Upper respiratory and gastrointestinal infections remain among the most common causes of illness in school-aged children worldwide. According to figures cited by the research team, more than 90 percent of children aged three to six catch at least one respiratory infection each year, and roughly half experience a diarrhoea-related illness. Attendance at kindergarten or primary school amplifies this burden, because classrooms are environments of constant physical contact, shared surfaces, and imperfect hygiene. Proper hand hygiene is regarded as the most cost-effective and straightforward measure available to reduce these infections and the school absenteeism that comes with them. Crucially, healthy habits formed in early childhood tend to persist into adulthood, which is why schools are such an attractive setting for intervention.

The World Health Organization’s 2009 guidelines on hand hygiene in health care already promote multimodal strategies that combine education, supplies, and real-time feedback. A systematic review of eighteen cluster-randomized controlled trials concluded that such programmes can reduce respiratory-tract infections and sickness-related absence, although the methodological quality of the underlying studies varied. Previous work has also highlighted the pedagogical power of fluorescent markers viewed under ultraviolet light. When children apply a glowing gel and then see, under a black light, exactly which parts of their hands they missed, the invisible becomes vividly concrete. Studies in paediatric waiting rooms and primary schools have shown that this kind of visual concretization can improve washing technique, and the evidence generally suggests that combining interactive education with fluorescent visualisation works better than either element alone.

What has been missing, the Catalan researchers argue, is objectivity and scale. Traditional UV-based interventions rely on manual or semi-automated scoring of photographs, which is time-intensive and vulnerable to observer variability. To address this, the team—based at the Preventive Medicine Unit and Infection Control Group of Joan XXIII University Hospital and collaborating primary care researchers—developed a semi-automated, AI-assisted image analysis pipeline, and, to their knowledge, no published school-based intervention study had previously integrated such a tool into UV-based hand hygiene feedback and outcome assessment.

The study was designed as a controlled before-after repeated measures study conducted within the Sentinel Schools Network of Catalonia in the Camp de Tarragona region during the 2023 to 2025 academic period. Two primary schools were matched in advance by low-socioeconomic urban context, management type, and school size, then pragmatically assigned to intervention and control groups to minimise cross-contamination between arms. Sixty-four pupils at the intervention school and sixty-two at the control school took part. Hand hygiene was assessed at baseline and again at one, three, and six months after the intervention. At each assessment, participants applied roughly one millilitre of fluorescent alcohol-based hand rub, rubbed their hands, and placed them inside a custom-built UV device that provided a uniform dark background and controlled illumination. Two photographs per child captured the dorsal and palmar surfaces under standardised conditions, and the percentage of adequately covered hand surface was calculated.

The intervention itself was deliberately brief. Pupils at the intervention school received a thirty-minute educational session covering the seven-step technique for alcohol-based hand rub and the role of hand hygiene in infection prevention, delivered through a short video, slides, and classroom materials, followed by a practical activity with real-time visual feedback. No reinforcement activities took place between follow-up visits. Control-school pupils received the same educational session only after the study ended; during the study they were exposed to the UV device during assessments but received no direct feedback on the areas they had missed.

The AI pipeline worked in three stages. First, a YOLOv8 object detection model localised each hand and classified its view and laterality—right or left, dorsal or palmar. The team labelled 5,197 images of hands and augmented them to 57,163 through transformations such as mirroring, rotation, translation, scaling, and illumination changes, training on 51,446 images and validating internally on 5,717. Evaluated on 2,381 new labelled images after 247 training epochs, the model achieved an overall accuracy of 94 percent across the four hand classes. Second, a pretrained Segment Anything Model from Meta segmented each hand from its background without additional training, failing on only 48 hands at first attempt, 38 of which were recovered with minimal manual adjustment. Third, colour isolation using thresholds in hue, saturation and value space identified the fluorescent regions and generated binary coverage masks. This final stage proved the weak link: HSV-based fluorescence detection showed low agreement with ground-truth annotations and required human supervision, a limitation the authors attribute to image-to-image illumination variability that could be mitigated by redesigning the device or adopting a more robust automated approach.

The effectiveness results told a nuanced story. At baseline, adjusted estimates of clean hand surface coverage were similar in both schools, at 0.888 in the control school and 0.910 in the intervention school. At one month, both groups improved comparably, reaching 0.937 and 0.943 respectively—a rise the authors suggest may reflect assessment awareness, the implicit prompting of the UV procedure itself, or limited contamination between school communities. From three months onward, however, the trajectories diverged. The control school regressed partially toward baseline, falling to 0.913, while the intervention school held and then built on its gains, reaching 0.944 at three months and 0.958 at six months. The adjusted between-school differences became statistically significant at three months, with a difference of 0.031, and widened at six months to 0.041. Within the intervention school, all follow-up contrasts against baseline were statistically significant, with the largest gain at six months; within the control school, only the one-month change was statistically supported. The analysis used a beta mixed-effects regression model with a logit link, a random intercept for each pupil to account for repeated measures, and adjustments for multiple testing. Girls performed modestly better than boys, and the model revealed meaningful between-pupil heterogeneity in baseline performance.

The authors are careful about what these numbers can and cannot show. Because the study involved only a single matched pair of schools, the between-school contrasts are treated as exploratory rather than confirmatory cluster-level causal estimates. Residual confounding from unmeasured school-level characteristics cannot be excluded, and baseline differences in age, grade composition, household size, and parental education between the two schools were present, although additional statistical adjustment for age and grade did not meaningfully change the results. The incomplete end-to-end automation of the image analysis is a second acknowledged limitation. Still, the researchers argue that embedding prevention and health promotion interventions in school settings can generate actionable evidence for public health and education practice, and that if the approach is replicated across a larger number of clusters and more diverse contexts, it could be scaled up and integrated into routine school health programmes—particularly if measurement and feedback can be delivered with minimal staff burden.

The broader significance lies in the marriage of two ideas. One is pedagogical: making the invisible visible, so that a child can see the glowing residue on the backs of the hands or between the fingers that a quick rinse leaves behind. The other is technological: replacing subjective human scoring with a standardised, reproducible computer-vision workflow that limits observer bias and could, in principle, support large-scale monitoring across many schools. Neither idea is new on its own, but their combination in a real school intervention is a first, and the six-month durability of the effect—modest in absolute terms but statistically consistent—adds to growing evidence that structured instruction plus UV-based feedback can sustain improvements where feedback alone cannot. For a measure as cheap and universal as handwashing, even small, persistent gains in technique among children could translate into fewer infections, fewer missed school days, and habits that last a lifetime.

Subject of Research: A school-based hand hygiene intervention using UV visual feedback and AI-assisted image analysis in primary school children

Article Title: Evaluation of a hand hygiene intervention in two primary schools using UV-based feedback and AI-assisted image analysis

Article References: Bordas, A., Colom-Cadena, A., Aceiton, J., Martínez-Torres, S., García-Pino, A., Escaramis, G., Muntada, E., Rey-Reñones, C., Gens-Barberà, M., Casabona, J., Basora, J., & Martín-Luján, F. (2026). Evaluation of a hand hygiene intervention in two primary schools using UV-based feedback and AI-assisted image analysis. Public Health in Practice, 12, Article 100856. https://doi.org/10.1016/j.puhip.2026.100856

Image Credits: AI Generated

DOI: 10.1016/j.puhip.2026.100856

Keywords: hand hygiene, primary schools, ultraviolet feedback, artificial intelligence, image analysis, YOLOv8, Segment Anything Model, infection prevention, school health promotion, children, public health, Catalonia

The study was led by researchers from the Faculty of Medicine at the University of Peradeniya, including Jananie Abeygunasekera, Anushka Sachini, Malindi Kulathunga, Chathurika Abeysekara, Dulanjana Senavirathna, and microbiologist Veranja Liyanapathirana. Drawing on a descriptive cross-sectional design, the team surveyed 351 adult visitors attending the outpatient department of a tertiary care hospital. Participants were recruited consecutively using convenience sampling, meaning the researchers enrolled eligible adults as they presented, and data were collected through a structured self-administered questionnaire. The instrument probed perceptions of physicians’ attire and grooming, as well as beliefs about infection-related risks tied to what doctors wear. Statistical associations between perceptions and sociodemographic characteristics were tested using Pearson’s chi-square test or Fisher’s exact test, with significance set at a p-value below 0.05.

The headline result is unambiguous: scrubs dominate patient preferences. Some 200 participants, or 57.0 percent, identified scrubs as the preferred attire for male doctors, while 194, or 55.3 percent, said the same for female physicians. This preference was not uniform across the age spectrum. Among young adults, 65.5 percent favored scrubs for male doctors, compared with 54.2 percent of middle-aged adults and only 34.1 percent of older adults, a difference that was highly statistically significant. The same generational gradient appeared for female doctors, with 63.0 percent of young adults, 52.8 percent of middle-aged adults, and 34.1 percent of older adults preferring scrubs.

As enthusiasm for scrubs waned with age, preference for traditional attire climbed. The saree, a garment with deep cultural resonance in Sri Lanka, was favored for female physicians by 18.2 percent of young adults, 35.9 percent of middle-aged adults, and 54.5 percent of older adults, a pattern that reached strong statistical significance. The authors interpret this shift through a sociocultural lens: younger patients appear to associate modern, standardized clinical dress with professionalism and hygiene, while older patients may read traditional attire as a marker of respectability, identity, and trustworthiness. In other words, what counts as an appropriate doctor’s look is not a fixed visual code but one negotiated between global medical conventions and local cultural expectations.

Beyond aesthetics, the study tapped into a growing scientific concern: clothing as a fomite. Textiles in clinical environments can harbor bacteria and other microorganisms, and several studies worldwide have documented contamination of white coats, neckties, and sleeves. The Sri Lankan patients surveyed were notably aware of this risk. Fully 283 participants, or 80.6 percent, knew that microorganisms could survive on clothing, and 192, or 54.7 percent, perceived physicians’ attire as a potential source of infection. That more than half of ordinary outpatients independently view clothing as an infection vector underscores how far public awareness of cross-contamination has penetrated, even outside hospital wards.

When it came to ranking garments by infection risk, patients again converged on scrubs. Among those who viewed attire as a potential infection source, 136, or 70.8 percent, judged scrubs the lowest-risk option for male physicians, and 135, or 70.3 percent, said the same for female physicians. A remarkable 164 participants, or 85.4 percent of this subgroup, also considered short-sleeved attire more favorable for effective hand hygiene. This detail aligns neatly with infection control doctrine: bare forearms allow thorough hand and wrist washing, whereas long sleeves can dip into sinks, contact patients, and retain moisture and microbes. Patients, it seems, have internalized the same practical logic that guides hospital hygiene protocols.

The study fills a conspicuous gap in the literature. Much of the existing research on physician attire has been conducted in high-income settings such as the United Kingdom, the United States, and Japan, where debates have swung from the traditional white coat to bare-below-the-elbows policies. Evidence from South Asia and other low- and middle-income contexts has been sparse, despite the fact that cultural norms, climate, laundry infrastructure, and hospital resourcing differ substantially. By documenting patient perspectives at a major Sri Lankan hospital, the Peradeniya team provides data that hospital administrators and professional bodies in the region can use to ground attire policies in patient sentiment rather than imported assumptions.

The findings carry practical implications for hospitals weighing dress codes. Because scrubs are simultaneously the most preferred attire and the garment perceived as carrying the lowest infection risk, they occupy a rare sweet spot where patient preference and infection prevention goals coincide. Uniform scrub programs could, in principle, strengthen both patient confidence and hygiene practice, particularly if paired with short sleeves and institutional laundering, which reduces the burden on individual clinicians to maintain garment cleanliness. At the same time, the age-dependent preference for traditional attire suggests that any transition toward standardized dress should be communicated sensitively, since older patients may experience such changes as a loss of familiarity or respect. Grooming, too, emerged as part of the equation, with tidy appearance functioning in patients’ eyes as a proxy for both professionalism and safety.

The researchers caution that their findings come from a single tertiary care outpatient department and used convenience sampling, so the results may not generalize to all Sri Lankan patients or to inpatient settings. Still, the study, which received no external funding and was approved by the Ethics Review Committee of the Faculty of Medicine at the University of Peradeniya under protocol number 2024/EC/SP/02, adds an important data point to a global conversation about how doctors should dress. Its central message resonates well beyond Central Sri Lanka: a physician’s appearance is never merely cosmetic. To the patients who watch clinicians walk into the examination room, clothing communicates competence, cleanliness, and care, and it can either reassure or quietly alarm. As hospitals worldwide refine attire policies in the name of infection control, this study is a reminder that patients are not passive observers of those choices. They bring their own expectations, shaped by generation and culture, about what a safe and trustworthy doctor looks like, and those expectations deserve a seat at the policy table.

The symbolic weight of the white coat is worth recalling when interpreting these results. The garment entered medical fashion in the late nineteenth century, when physicians adopted laboratory dress to signal that medicine was becoming a scientific discipline grounded in germ theory and antiseptic practice. Over the following century the coat became so entrenched that many institutions staged formal ceremonies in which students received their first coat as a rite of passage. The Sri Lankan findings suggest that this historical emblem no longer commands automatic deference, at least among younger outpatients, who appear to associate standardized clinical uniforms rather than traditional professional dress with modern, hygienic care.

The study’s methodology merits some attention for readers weighing its conclusions. Because participants were surveyed with a self-administered questionnaire in an outpatient waiting area, the results capture stated perceptions rather than observed behavior. Perception and behavior can diverge: a patient may prefer scrubs yet still trust a physician in a saree once a consultation begins. The cross-sectional design also means the age gradient documented by the researchers could reflect either generational differences that will persist as younger cohorts age, or a life-stage effect in which attitudes toward traditional dress shift with maturity. Longitudinal work would be needed to separate these possibilities.

The finding that 80.6 percent of participants knew microorganisms can survive on clothing is striking given that textile contamination is a relatively technical concept. Research in other settings has recovered pathogenic bacteria, including staphylococci and enteric organisms, from the sleeves, pockets, and lapels of clinical garments, and contamination rates appear to rise with the frequency of patient contact and the interval between laundering. Whether contaminated attire translates into actual transmission of infection to patients remains difficult to prove, and direct evidence linking physician clothing to hospital-acquired infections is limited. This uncertainty has shaped policy debates, since some national guidance has restricted long sleeves and neckties on precautionary grounds even without definitive transmission data.

The Sri Lankan context adds further nuance. In tropical climates, lightweight and easily laundered garments offer practical advantages, and institutional laundering of hospital-owned scrubs can guarantee washing temperatures and detergent standards that home laundering of personal coats may not achieve. For hospitals in resource-constrained settings, however, supplying multiple sets of scrubs to every clinician carries real costs, which helps explain why traditional attire and personal white coats remain widespread across South Asia. Any move toward uniform programs must therefore balance patient preferences and infection control logic against procurement, laundry capacity, and staff acceptance.

Finally, the study highlights how patients themselves have become sophisticated participants in infection prevention culture. Public experience with hand hygiene campaigns and, more recently, pandemic-era messaging has familiarized ordinary people with concepts such as fomites and cross-contamination. That more than half of surveyed outpatients spontaneously identified clothing as a potential infection source indicates that hospitals can no longer assume attire is a neutral or invisible element of care. Patient-facing communication about dress codes, including why particular garments are chosen, may itself become a tool for building confidence in outpatient settings.

Subject of Research: Patient perceptions of physician attire and grooming and their perceived infection risks in outpatient care in Sri Lanka

Article Title: Patient perceptions of physician attire and perceived infection risk associated with attire and grooming in outpatient care at a tertiary care hospital in Central Sri Lanka

Article References: Abeygunasekera, J., Sachini, A., Kulathunga, M., Abeysekara, C., Senavirathna, D., & Liyanapathirana, V. (2026). Patient perceptions of physician attire and perceived infection risk associated with attire and grooming in outpatient care at a tertiary care hospital in Central Sri Lanka. Discover Social Science and Health. https://doi.org/10.1007/s44155-026-00481-9

Image Credits: AI Generated

DOI: 10.1007/s44155-026-00481-9

Keywords: physician attire, patient perceptions, infection control, cross infection, scrubs, ambulatory care, hand hygiene, cultural factors, Sri Lanka, developing countries, tertiary care hospital, grooming