Patient-Centered Surgical Care for Children in Low and Lower-Middle Income Countries (LMICs) - A Systematic Scoping Review of the Literature.

PURPOSE: Studies exploring patient-centered care (PCC) in pediatric surgery have been disproportionately concentrated in high-income countries. This review aims to characterize the adoption of key PCC domains in low and lower-middle income countries (LMICs). METHODS: Seven databases were searched from inception until January 2023 to retrieve relevant articles in pediatric surgery in LMICs. We focused on six key PCC domains: patient-reported outcomes (PROs), patient-reported experiences (PREs), shared decision-making (SDM), patient/parent education, patient/parent satisfaction, and informed consent. RESULTS: Of 8050 studies screened, 230 underwent full-text review, and 48 were finally included. Most were single-center (87.5%), cross-sectional studies (41.7%) from the South-East Asian (35.4%) and Eastern Mediterranean regions (33.3%). Studies most frequently focused on postoperative care (45.8%) in pediatric general surgery (18.8%), and included 1-3 PCC domains. PREs (n = 30), PROs (n = 16) and patient/parent satisfaction (n = 16) were most common. Informed consent (n = 2) and SDM (n = 1) were least studied. Only 13 studies directly elicited children's perspectives. Despite all studies originating in LMICs, 25% of first and 17.8% of senior authors lacked LMIC affiliations. CONCLUSION: The adoption of PCC in LMICs appears limited, focusing predominantly on PROs and PREs. Other domains such as informed consent and SDM are rarely addressed, and the voice of children and young people is rarely heard in their care. Opportunities to enhance PCC in LMICs abound, with the potential to improve the surgical care of children in resource-limited settings. LEVEL OF EVIDENCE: III.

The State of Artificial Intelligence in Pediatric Surgery: A Systematic Review.

BACKGROUND: Artificial intelligence (AI) has been recently shown to improve clinical workflows and outcomes - yet its potential in pediatric surgery remains largely unexplored. This systematic review details the use of AI in pediatric surgery. METHODS: Nine medical databases were searched from inception until January 2023, identifying articles focused on AI in pediatric surgery. Two authors reviewed full texts of eligible articles. Studies were included if they were original investigations on the development, validation, or clinical application of AI models for pediatric health conditions primarily managed surgically. Studies were excluded if they were not peer-reviewed, were review articles, editorials, commentaries, or case reports, did not focus on pediatric surgical conditions, or did not employ at least one AI model. Extracted data included study characteristics, clinical specialty, AI method and algorithm type, AI model (algorithm) role and performance metrics, key results, interpretability, validation, and risk of bias using PROBAST and QUADAS-2. RESULTS: Authors screened 8178 articles and included 112. Half of the studies (50%) reported predictive models (for adverse events [25%], surgical outcomes [16%] and survival [9%]), followed by diagnostic (29%) and decision support models (21%). Neural networks (44%) and ensemble learners (36%) were the most commonly used AI methods across application domains. The main pediatric surgical subspecialties represented across all models were general surgery (31%) and neurosurgery (25%). Forty-four percent of models were interpretable, and 6% were both interpretable and externally validated. Forty percent of models had a high risk of bias, and concerns over applicability were identified in 7%. CONCLUSIONS: While AI has wide potential clinical applications in pediatric surgery, very few published AI algorithms were externally validated, interpretable, and unbiased. Future research needs to focus on developing AI models which are prospectively validated and ultimately integrated into clinical workflows. LEVEL OF EVIDENCE: 2A.

Recognising socio-cultural barriers while seeking early detection services for breast cancer: a study from a Universal Health Coverage setting in India.

BACKGROUND: Breast cancer is the commonest cancer among women in India, yet the uptake of early detection programs is poor. This leads to late presentation, advanced stage at the time of diagnosis, and high mortality. Poor accessibility and affordability are the most commonly cited barriers to screening: we analyse socio-cultural factors influencing the uptake of early detection programmes in a Universal Health Coverage (UHC) setting in India, where geographical and financial barriers were mitigated. METHODS: Two hundred seventy-two women engaging in an awareness-based early detection program were recruited by randomization as the participant (P) group. A further 272 women who did not participate in the early detection programme were recruited as non-participants (NP). None of the groups were previously screened for breast cancer. Interviews were conducted using a 19-point questionnaire, consisting of closed-ended questions regarding demographics and social, cultural, spiritual and trust-related barriers. RESULTS: The overall awareness about breast cancer was high among both groups. None of the groups reported accessibility-related barriers. Participants were more educated (58.09% vs 47.43%, p = 0.02) and belonged to nuclear families (83.59% vs 76.75%, p = 0.05). Although they reported more fear of isolation due to stigma (25% vs 14%, p = 0.001), they had greater knowledge about breast cancer and trust in the health system compared to non-participants. CONCLUSIONS: The major socio-cultural barriers identified were joint family setups, lower education and awareness, and lack of trust in healthcare professionals. As more countries progress towards UHC, recognising socio-cultural barriers to seeking breast health services is essential in order to formulate context-specific solutions to increase the uptake of early detection and screening services.

Academic Global Surgery: Creating Opportunities, Equity, and Diversity.

A workforce trained in the development and delivery of equitable surgical care is critical in reducing the global burden of surgical disease. Academic global surgery aims to address the present inequities through collaborative partnerships that foster research, education, advocacy and training to support and increase the surgical capacity in settings with limited resources. Barriers include a deficiency of resources, personnel, equipment, and funding, a lack of communication, and geographical challenges. Multi-level partnerships remain fundamental; these types of partnerships include a wide range of trainees, professionals, institutions, and nations, yet care must be taken to avoid falling into the trap of surgical "voluntourism" and undermining the expertise and practice of long-standing frontline providers. Academic global surgery has the benefit of developing a community of surgeons who possess the tools needed to collaborate on individual, institutional, and international levels to address inequities in surgery that are spread variously across the globe. However, challenges for surgeons pursuing a career in global surgery include balancing clinical responsibilities while integrating global surgery as a career during training. This is due in part to the lack of mentorship, research time, grant funding, support to attend conferences, and a limitation of resources, all of which are significantly more pronounced for surgeons from low-resource countries.