METHODS: We conducted a population-based study using data from the Global Cancer Observatory (GLOBOCAN) 2022 and predicted global radiotherapy demands and workforce requirements in 2050. We obtained incidence figures for 29 types of cancer across 183 countries and derived the cancer-specific radiotherapy use rate using the 2013 Collaboration for Cancer Outcomes Research and Evaluation model. We delineated the proportion of people with cancer who require radiotherapy and can be accommodated within the existing installed capacity, assuming an optimal use rate of 50% or 64%, in both 2022 and 2050. A use rate of 50% corresponds to the global average and a use rate of 64% considers potential re-treatment scenarios, as indicated by the 2013 Collaboration for Cancer Outcomes Research and Evaluation (CCORE) radiotherapy use rate model. We established specified requirements for teletherapy units at a ratio of 1:450 patients, for radiation oncologists at a ratio of 1:250 patients, for medical physicists at a ratio of 1:450 patients, and for radiation therapists at a ratio of 1:150 patients in all countries and consistently using these ratios. We collected current country-level data on the radiotherapy-professional workforce from national health reports, oncology societies, or other authorities from 32 countries.
FINDINGS: In 2022, there were an estimated 20·0 million new cancer diagnoses, with approximately 10·0 million new patients needing radiotherapy at an estimated use rate of 50% and 12·8 million at an estimated use rate of 64%. In 2050, GLOBOCAN 2022 data indicated 33·1 million new cancer diagnoses, with 16·5 million new patients needing radiotherapy at an estimated use rate of 50% and 21·2 million at an estimated use rate of 64%. These findings indicate an absolute increase of 8·4 million individuals requiring radiotherapy from 2022 to 2050 at an estimated use rate of 64%; at an estimated use rate of 50%, the absolute increase would be 6·5 million individuals. Asia was estimated to have the highest radiotherapy demand in 2050 (11 119 478 [52·6%] of 21 161 603 people with cancer), followed by Europe (3 564 316 [16·8%]), North America (2 546 826 [12·0%]), Latin America and the Caribbean (1 837 608 [8·7%]), Africa (1 799 348 [8·5%]), and Oceania (294 026 [1·4%]). We estimated that the global radiotherapy workforce in 2022 needed 51 111 radiation oncologists, 28 395 medical physicists, and 85 184 radiation therapists and 84 646 radiation oncologists, 47 026 medical physicists, and 141 077 radiation therapists in 2050. We estimated that the largest proportion of the radiotherapy workforce in 2050 would be in upper-middle-income countries (101 912 [38·8%] of 262 624 global radiotherapy professionals).
INTERPRETATION: Urgent strategies are required to empower the global health-care workforce and facilitate the fundamental human right of access to suitable health care. A collective effort with innovative and cost-contained health-care strategies from all stakeholders is warranted to enhance global accessibility to radiotherapy and address challenges in cancer care.
FUNDING: China Medical Board Global Health Leadership Development Program, Shanghai Science and Technology Committee Fund, China Ministry of Science and Technology Department of International Cooperation High Level Cooperation and Exchange Projects, and Fudan University Office of Global Partnerships Key Projects Development Fund.
TRANSLATIONS: For the Arabic, Chinese, French, Russian and Spanish translations of the summary see Supplementary Materials section.
METHODS: We downloaded COVID-19 outbreak data of the number of confirmed cases in all countries as of October 19, 2020. The IRT-based predictive model was built to determine the pandemic IP for each country. A model building scheme was demonstrated to fit the number of cumulative infected cases. Model parameters were estimated using the Solver add-in tool in Microsoft Excel. The absolute advantage coefficient (AAC) was computed to track the IP at the minimum of incremental points on a given ogive curve. The time-to-event analysis (a.k.a. survival analysis) was performed to compare the difference in IPs among continents using the area under the curve (AUC) and the respective 95% confidence intervals (CIs). An online comparative dashboard was created on Google Maps to present the epidemic prediction for each country.
RESULTS: The top 3 countries that were hit severely by COVID-19 were France, Malaysia, and Nepal, with IP days at 263, 262, and 262, respectively. The top 3 continents that were hit most based on IP days were Europe, South America, and North America, with their AUCs and 95% CIs at 0.73 (0.61-0.86), 0.58 (0.31-0.84), and 0.54 (0.44-0.64), respectively. An online time-event result was demonstrated and shown on Google Maps, comparing the IP probabilities across continents.
CONCLUSION: An IRT modeling scheme fitting the epidemic data was used to predict the length of IP days. Europe, particularly France, was hit seriously by COVID-19 based on the IP days. The IRT model incorporated with AAC is recommended to determine the pandemic IP.
METHODS: From inception to March 2024, we systematically searched six key electronic databases: PubMed, Web of Science, Embase, Cochrane Library, Scopus, and CINAHL to identify potential studies that reported the prevalence or unfavourable outcomes of OF amongst older adult. Studies that did not have accessible data were excluded. Two researchers worked independently to retrieve the literature, collect data, and evaluate the quality of the included studies. Data analysis was conducted using R Project 4.1.1 and Review Manager 5.3 software.
RESULTS: We identified 28 studies that met the inclusion criteria, including 27,927 older adult. The pooled prevalence of OF amongst older adult was 32% (95% confidence interval (CI): 0.24, 0.41). Subgroup analyses indicated that the setting, sample, design of studies, and assessment instruments influence the prevalence of OF. In addition, OF was associated with a high risk of physical frailty (odds ratio (OR) = 1.67; 95% CI: 1.38, 2.02), malnutrition (OR = 2.27; 95% CI: 1.75, 2.96), low dietary variety (OR = 1.98, 95% CI: 1.15, 3.39), and social withdrawal (OR = 1.42; 95% CI: 1.18, 1.71).
CONCLUSION: This systematic review and meta-analysis revealed that OF is prevalent amongst older adult. OF may affect the prognosis of older adult and thus necessitates comprehensive assessment and management as part of an integrated approach.
SYSTEMATIC REVIEW REGISTRATION: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=537884.
METHODS: We invited eye care professionals to complete a two-round online prioritisation process. In round 1, panellists nominated population groups least able to access refractive error services, and strategies to improve access. Responses were summarised and presented in round 2, where panellists ranked the groups (by extent of difficulty and size) and strategies (in terms of reach, acceptability, sustainability, feasibility and equity). Groups and strategies were scored according to their rank within each sub-region.
RESULTS: Seventy five people from 17 countries completed both rounds (55% women). Regional differences were evident. Indigenous peoples were a priority group for improving access in Australasia and Southeast Asia, while East Asia identified refugees and Oceania identified rural/remote people. Across the five sub-regions, reducing out-of-pocket costs was a commonly prioritised strategy for refraction and spectacles. Australasia prioritised improving cultural safety, East Asia prioritised strengthening school eye health programmes and Oceania and Southeast Asia prioritised outreach to rural areas.
CONCLUSION: These results provide policy-makers, researchers and funders with a starting point for context-specific actions to improve access to refractive error services, particularly among underserved population groups who may be left behind in existing private sector-dominated models of care.
METHODS: We performed a systematic review of all studies from 1990 to 2021 that reported CHE in LMICs for treatment of a condition requiring surgical intervention, including cesarean section, trauma care, and other surgery.
RESULTS: 77 studies met inclusion criteria. Tertiary facilities (23.4%) were the most frequently studied facility type. Only 11.7% of studies were conducted in exclusively rural health-care settings. Almost 60% of studies were retrospective in nature. The cost of procedures ranged widely, from $26 USD for a cesarean section in Mauritania in 2020 to $74,420 for a pancreaticoduodenectomy in India in 2018. GDP per capita had a narrower range from $315 USD in Malawi in 2019 to $9955 USD in Malaysia in 2015 (Median = $1605.50, interquartile range = $1208.74). 35 studies discussed interventions to reduce cost and catastrophic expenditure. Four of those studies stated that their intervention was not successful, 18 had an unknown or equivocal effect on cost and CHE, and 13 concluded that their intervention did help reduce cost and CHE.
CONCLUSIONS: CHE from surgery is a worldwide problem that most acutely affects vulnerable patients in LMICs. Existing efforts are insufficient to meet the true need for affordable surgical care unless assistance for ancillary costs is given to patients and families most at risk from CHE.
METHOD: This is a cross-sectional market survey conducted from February to May 2023 on 3428 products sold in Malaysian supermarkets. Product information including the brand, name, nutrition information panel, food product indicator (front-of-pack nutrition labelling, NHC, other claims), ingredients list and manufacturer or importer were collected. Compliance of products carrying NHC and HCL is evaluated against local guidelines. Credibility as a healthy product is evaluated against the WHO Nutrient Profile Model for the Western Pacific Region on a subsample (products with HCL and/or NHC).
RESULTS: 53% of food products surveyed had food product indicators (n=1809). A total of 32% carried at least one NHC (n=1101), of which 47% had excellent overall compliance (n=522). Only 4% carried Malaysia's HCL (n=138), of which 48% had excellent nutrient compliance (n=66). Only 13% of the products carrying Malaysia's HCL and NHC could be identified as absolute healthy food products as defined by the WHO standard (n=147).
CONCLUSION: Although half of the products surveyed had food product indicators, merely half of them had excellent compliance towards the standards. Only 13% of the subsample qualified as healthy food products. Voluntary application of the local HCL was low among food industries. Ensuring high standards of compliance and credibility of food products in the Malaysian market is crucial for food companies and government authorities.
METHODS: Between 2020 and 2023, adults hospitalized in the preceding 6-24 months with incident or recurrent CHD were sampled in 14 countries from all 6 World Health Organization regions and invited for a standardized interview and examination. Direct age and sex standardization was used for country-level prevalence estimation.
RESULTS: Overall, 4548 (21.1% female) CHD patients were interviewed a median of 1.05 (interquartile range .76-1.45) years after index hospitalization. Among all participants, 24.6% were obese (40.7% centrally). Only 38.6% achieved a blood pressure (BP) < 130/80 mmHg and 16.6% a LDL cholesterol (LDL-C) of <1.4 mmol/L. Of those smoking at hospitalization, 48% persisted at interview. Of those with known diabetes, 55.2% achieved glycated haemoglobin (HbA1c) of <7.0%. A further 9.8% had undetected diabetes and 26.9% impaired glucose tolerance. Females were less likely to achieve the targets: BP (females 36.8%, males 38.9%), LDL-C (females 12.0%, males 17.9%), and HbA1c in diabetes (females 47.7%, males 57.5%). Overall, just 9.0% (inter-country range 3.8%-20.0%) reported attending cardiac rehabilitation and 1.0% (inter-country range .0%-2.4%) achieved the study definition of optimal guideline adherence.
CONCLUSIONS: INTERASPIRE demonstrates inadequate and heterogeneous international implementation of guideline standards for secondary prevention in the first year after CHD hospitalization, with geographic and sex disparity. Investment aimed at reducing between-country and between-individual variability in secondary prevention will promote equity in global efforts to reduce the burden of CHD.
METHODOLOGY: Staff members were observed during patient contacts, and their hand washing techniques and hand hygiene practices were monitored. Five contact periods were observed for staff members while they cared for their assigned patients. Hand hygiene practices before and after patient contacts were categorized as clean uncontaminated, clean recontaminated, new gloves, and unchanged contaminated gloves. Compliance to hand-washing steps and time taken for hand washing were analyzed. Appropriate use of gloves based on CDC criteria also was assessed.
RESULTS: Compliance to hand hygiene practices was 70% before each patient contact. Staff members did not completely adhere to the hand-washing steps. The average time taken to wash hands was 20 seconds, and the necessary steps (rubbing palm over dorsum; rubbing fingers interlaced, and rotational rubbing of thumbs) were practiced minimally by all staff. Hand washing protocol was generally followed by all staff (100%). Alcohol hand rubs were available but were used moderately (60%); when used, staff members did not wait for the alcohol to dry. Only 4% of staff changed contaminated gloves between patients.
CONCLUSIONS: Hand hygiene compliance by ICU staff members needs to be improved. Improving adherence to correct hand hygiene techniques will require effective education programs and behavioral modification techniques. Moreover, hand hygiene guidelines must be incorporated into new staff orientation programs and the continuing education curriculum in the two hospitals studied.
RESEARCH DESIGN AND METHODS: The prevalence of diabetes, defined as self-reported or fasting glycemia ≥7 mmol/L, was documented in 119,666 adults from three high-income (HIC), seven upper-middle-income (UMIC), four lower-middle-income (LMIC), and four low-income (LIC) countries. Relationships between diabetes and its risk factors within these country groupings were assessed using multivariable analyses.
RESULTS: Age- and sex-adjusted diabetes prevalences were highest in the poorer countries and lowest in the wealthiest countries (LIC 12.3%, UMIC 11.1%, LMIC 8.7%, and HIC 6.6%; P < 0.0001). In the overall population, diabetes risk was higher with a 5-year increase in age (odds ratio 1.29 [95% CI 1.28-1.31]), male sex (1.19 [1.13-1.25]), urban residency (1.24 [1.11-1.38]), low versus high education level (1.10 [1.02-1.19]), low versus high physical activity (1.28 [1.20-1.38]), family history of diabetes (3.15 [3.00-3.31]), higher waist-to-hip ratio (highest vs. lowest quartile; 3.63 [3.33-3.96]), and BMI (≥35 vs. <25 kg/m(2); 2.76 [2.52-3.03]). The relationship between diabetes prevalence and both BMI and family history of diabetes differed in higher- versus lower-income country groups (P for interaction < 0.0001). After adjustment for all risk factors and ethnicity, diabetes prevalences continued to show a gradient (LIC 14.0%, LMIC 10.1%, UMIC 10.9%, and HIC 5.6%).
CONCLUSIONS: Conventional risk factors do not fully account for the higher prevalence of diabetes in LIC countries. These findings suggest that other factors are responsible for the higher prevalence of diabetes in LIC countries.