Dietary diversity among children is a crucial factor influencing their nutritional status; therefore, this paper uses data from four rounds of the Cambodia Demographic and Health Survey (CDHS) to examine the minimum dietary diversity among children aged 6-23 months. Multilevel binary regression is used to evaluate the variation in minimum dietary diversity at the cluster and province levels. The results show that nearly half of Cambodian children consistently lacked access to vitamin A-rich fruits and vegetables. Although the prevalence of inadequate minimum dietary diversity (MDD) among children significantly dropped from 76% in 2005 to 51% in 2021-2022, it is still high and needs attention. A decomposition analysis (Blinder-Oaxaca decomposition) was further used to understand the drivers of this temporal change in dietary diversity. The empirical results show that clusters represented the most significant source of geographic variation with respect to all eight food groups and MDD. Nutritional policy should improve education and awareness, reduce socio-economic disparities, leverage media, and promote full antenatal care to improve dietary diversity in Cambodia. Initiatives targeting the enhancement of insufficient minimum dietary diversity intake should encompass individual aspects and be customized to suit geographic and community settings.

The eastern provinces of Canada exhibit a heightened prevalence and mortality rate of lung cancer compared to their western counterparts. While established risk factors for lung cancer exist in Canada, there remains ambiguity regarding the underlying provincial and territorial trends. This review aims to identify and analyze potential contributors to healthcare inequality, guiding policymakers towards a strategic and sustainable approach at the provincial level.
Existing studies emphasize the significant roles played by socio-economic and environmental factors in influencing lung cancer disparities across Canadian provinces. However, a noticeable research gap persists, particularly in systematically examining the factors that amplify geographical disparities in lung cancer incidence and mortality rates within Canada. This review underscores the disparities in lung cancer prevalence and mortality rates between eastern and western Canadian provinces. While socio-economic and environmental factors have been identified as influential, there is an evident need for further research to comprehensively understand and address the underlying contributors to these geographical discrepancies.

This study examined the geographical distribution of home- and community-based services (HCBS) resources in Taiwan\'s Long-Term Care 2.0 policy and explored its association with the number of deaths among older adults. The main outcome of the study was determination of the number of deaths among older adults in townships (N = 346) in 2021. The results showed that home-based HCBS had a significant positive association with mortality among older adults; moreover, community-based and complementary services, which are highly clustered within a township and among its neighbors, exert a significant protective effect on mortality among older adults. Stratified analyses showed a significantly lower mortality among older adults using adult foster care and transportation services, but a significantly higher mortality among older adults using home-based professional care and respite care services, after considering the sociodemographic characteristics of older adults, urbanization, and the number of long-term care resources in the spatial analysis.

Background: COVID-19 has reportedly resulted in disparities in the use of telemedicine due to several socioeconomic factors. While telemedicine was developed to overcome geographical distance, under COVID-19 telemedicine conversely might have deepened the urban-rural telemedicine divide. Especially in Japan, the authority has virtually regulated distant telemedicine use, which favored telemedicine providers who are located in close proximity to patients. This study aimed to quantify the urban-rural disparity in access to telemedicine and investigate heterogeneity between devices (phone and video visits). Methods: We used two nationally comprehensive data sources in Japan. One was a municipality-level telemedicine provider database. Municipality-provider-level analysis intended to measure the uneven distribution of telemedicine providers compared to usual health care providers as well as the difference among clinical departments. The second source was prefecture-level telemedicine utilization data. Prefecture-utilization-level analysis aimed to quantify how the use of telemedicine converged in urban areas. We investigated the heterogeneity between types of devices and time periods. To measure inequality, this study used the Lorenz Curve and Gini coefficients. Ethical review was not required. Results: The data included 16,927 providers (14,111 clinics and 2,816 hospitals) and 88,952 first visits throughout Japan. The main findings were the geographically converged distribution of telemedicine providers compared with overall providers who were not limited to telemedicine and, possibly as a result of it, the geographically unequal utilization of telemedicine compared with in-person visits. Furthermore, video visits were more unequally utilized than phone visits, let alone in-person visits. The disparity was not resolved over time, which implied a systematic cause. Conclusion: Using comprehensive nationwide data, this study revealed geographical inequality relating to access to telemedicine under the COVID-19 special deregulation in Japan. While telemedicine initially aimed to provide access to care for people in rural areas, several factors, including the digital divide, COVID-19, and the Japanese policy, paradoxically could have caused this disparity.

Drug-induced liver injury (DILI) is a type of bizarre adverse drug reaction (ADR) damaging liver (L-ADR) which may lead to substantial hospitalizations and mortality. Due to the general low incidence, detection of L-ADR remains an unsolved public health challenge. Therefore, we used the data of 6.673 million of ADR reports from January 1st, 2012 to December 31st, 2016 in China National ADR Monitoring System to establish a new database of L-ADR reports for future investigation. Results showed that totally 114,357 ADR reports were retrieved by keywords searching of liver-related injuries from the original heterogeneous system. By cleaning and standardizing the data fields by the dictionary of synonyms and English translation, we resulted 94,593 ADR records reported to liver injury and then created a new database ready for computer mining. The reporting status of L-ADR showed a persistent 1.62-fold change over the past five years. The national population-adjusted reporting numbers of L-ADR manifested an upward trend with age increasing and more evident in men. The annual reporting rate of L-ADR in age group over 80 years old strikingly exceeded the annual DILI incidence rate in general population, despite known underreporting situation in spontaneous ADR reporting system. The percentage of herbal and traditional medicines (H/TM) L-ADR reports in the whole number was 4.5%, while 80.60% of the H/TM reports were new findings. There was great geographical disparity of reported agents, i.e. more cardiovascular and antineoplastic agents were reported in higher socio-demographic index (SDI) regions and more antimicrobials, especially antitubercular agents, were reported in lower SDI regions. In conclusion, this study presented a large-scale, unbiased, unified, and computer-minable L-ADR database for further investigation. Age-, sex- and SDI-related risks of L-ADR incidence warrant to emphasize the precise pharmacovigilance policies within China or other regions in the world.

After several decades of therapeutic stagnation, the treatment of patients with urothelial carcinoma has met a revolutionary wave, anticipated by the advent of immune-checkpoint inhibitors (ICI) and followed by newer therapeutic options in the post-ICI setting. These achievements were made in a very short time-frame, thus making the treatment of this disease particularly susceptible to geographical health disparity due to the differences in healthcare systems and approval processes of the regulatory authorities. Furthermore, additional barriers to access innovative care are represented by a limited coverage of clinical trials availability, that is consistent in focusing on selected geographical areas, across trials and clinical settings. Here, we present the current picture of new drug approvals in urothelial carcinoma worldwide, and we also focus our considerations onto the spectrum of ongoing trial inclusion possibilities, trying to understand what are the current gaps in clinical research and routine practice, identifying a way to move forward.

The United States (U.S.) Department of Health and Human Services is interested in increasing geographical equity in access to liver transplant. The geographical disparity in the U.S. is fundamentally an outcome of variation in the organ supply to patient demand (s/d) ratios across the country (which cannot be treated as a single unit due to its size). To design a fairer system, we develop a nonlinear integer programming model that allocates the organ supply in order to maximize the minimum s/d ratios across all transplant centers. We design circular donation regions that are able to address the issues raised in legal challenges to earlier organ distribution frameworks. This allows us to reformulate our model as a set-partitioning problem. Our policy can be viewed as a heterogeneous donor circle policy, where the integer program optimizes the radius of the circle around each donation location. Compared to the current policy, which has fixed radius circles around donation locations, the heterogeneous donor circle policy greatly improves both the worst s/d ratio and the range between the maximum and minimum s/d ratios. We found that with the fixed radius policy of 500 nautical miles (NM), the s/d ratio ranges from 0.37 to 0.84 at transplant centers, while with the heterogeneous circle policy capped at a maximum radius of 500 NM, the s/d ratio ranges from 0.55 to 0.60, closely matching the national s/d ratio average of 0.5983. Our model matches the supply and demand in a more equitable fashion than existing policies and has a significant potential to improve the liver transplantation landscape.

In this study, we investigated spatial diversities of sexually transmitted infections (STIs) and quantified their impacts on the STIs using population attributable risk (PAR%). The study population was 7,557 women who participated in several HIV prevention trials from KwaZulu-Natal, South Africa. Our results provide compelling evidence for substantial geographical diversities on STI incidence rates in the region. Their population-level impacts on the STIs exceeded the combined impacts of the individual risk factors considered in this study (PAR%: 41% (<25 years), 52% (25-34 years) and 34% (35+ years). When all these factors are considered together, PAR% was the highest among younger women (PAR%: 67%, 82% and 50% for <25, 25-34 and 35+ years old respectively). Results from our study will bring greater insight into the previous research by increasing our understanding of the impacts of the sub-geographical level variations of STI prevalence and incidence rates in the region.

This study aimed to identify whether cancer-related health behaviours including participation in cancer screening vary by geographic location in Australia. Data were obtained from the 2014-2015 Australian National Health Survey, a computer-assisted telephone interview that measured a range of health-related issues in a sample of randomly selected households. Chi-square tests and adjusted odds ratios from logistic regression models were computed to assess the association between residential location and cancer-related health behaviours including cancer screening participation, alcohol consumption, smoking, exercise, and fruit and vegetable intake, controlling for age, socio-economic status (SES), education, and place of birth. The findings show insufficient exercise, risky alcohol intake, meeting vegetable intake guidelines, and participation in cervical screening are more likely for those living in inner regional areas and in outer regional/remote areas compared with those living in major cities. Daily smoking and participation in prostate cancer screening were significantly higher for those living in outer regional/remote areas. While participation in cancer screening in Australia does not appear to be negatively impacted by regional or remote living, lifestyle behaviours associated with cancer incidence and mortality are poorer in regional and remote areas. Population-based interventions targeting health behaviour change may be an appropriate target for reducing geographical disparities in cancer outcomes.

There is considerable variation in dental services utilization across Appalachian counties, and a plausible explanation is that individuals in some geographical areas do not utilize dental care due to dental workforce shortage. We conducted an ecological study on dental workforce availability and dental services utilization in Appalachia.
We derived county-level (n = 364) data on demographic and socioeconomic characteristics and dental services utilization in Appalachia from the 2010 Behavioral Risk Factor Surveillance System (BRFSS) using person-level data. We obtained county-level dental workforce availability and physician-to-population ratio estimates from Area Health Resources File and linked them to the county-level BRFSS data. The dependent variable was the proportion using dental services within the last year in each county (ranging from 16.6% to 91.0%). We described the association between dental workforce availability and dental services utilization using ordinary least squares regression and spatial regression techniques. Spatial analyses consisted of bivariate local indicators of spatial association (LISA) and geographically weighted regression (GWR).
Bivariate LISA showed that counties in the central and southern Appalachian regions had significant (P < 0.05) low-low spatial clusters (low dental workforce availability, low percent dental services utilization). GWR revealed considerable local variations in the association between dental utilization and dental workforce availability. In the multivariate GWR models, 8.5% (t-statistics > 1.96) and 13.45% (t-statistics > 1.96) of counties showed positive and statistically significant relationships between the dental services utilization and workforce availability of dentists and dental hygienists, respectively.
Dental workforce availability was associated with dental services utilization in the Appalachian region; however, this association was not statistically significant in all counties. The findings suggest that program and policy efforts to improve dental services utilization need to focus on factors other than increasing the dental workforce availability for many counties in Appalachia.