The effect of spatial barriers on realised accessibility to heath services after a natural disaster

The closure of the Manawatu Gorge in New Zealand in August 2011 caused a change in the travel time for patients living in the east of the MidCentral Health District to their health services located in Palmerston North. This presented an opportunity to study the effect a change in spatial access had on a population before and after such an event. We used a retrospective cohort design with routinely collected data from general practice and hospital services. Realised accessibility was calculated for 101,456 patients over 3.5 years. General practice utilization appeared to be the only service affected negatively during the gorge closure (rate ratio 1.106). Outpatient attendances had an increase in use by those with increased travel time (rate ratio 0.922). There was evidence of other unidentified factors that impacted the use of services across both intervention and control groups between the gorge open and closed periods. These results were more conservative than those produced by a traditional uncontrolled travel time category analysis which suggested a correlation in non-urgent ED attendance and general practice and boundary effects in all ED attendances and hospital admissions.     

乡镇卫生院急救服务能力与空间可及性实证研究——以四川省富顺县农药中毒急救服务为例

目的:以四川省自贡市富顺县为例,探究乡镇卫生院急救服务能力状况,并以农药中毒的急救为例,了解急救点空间可及性。方法:在富顺县城集中26所乡镇卫生院负责人,采用自编问卷了解急救服务相关情况;收集行政区划、水系路网、人口分布、急救点位置等数据,基于GIS软件平台运用行进成本法定量测量急救点空间可及性。结果:富顺县能够开展指定抢救项目的医院所占比例较低;农药中毒急救点平均可达时间为13.57分钟,可达性较差的地区主要分布在富顺县西南边界。结论:富顺县乡镇卫生院急救资源软硬件水平均较低,乡级急救网络亟待健全;提高急救点空间可及性可考虑在县域西南边界增加急救点数量或加强路网建设;利用GIS技术评价急救点空间可及性直观易懂、具有可操作性。     

深圳市助产机构空间可达性测量方法比较研究

目的 使用三种不同的方法探讨深圳市助产机构的空间分布模式及规律,为构建合理分布的助产机构提供理论依据和方法参考. 方法 基于地理信息系统(Geographic Information System,GIS),使用供需比例法、最短距离法和两步移动搜寻法,对深圳市各街道助产机构空间可达性进行分析. 结果 不同的方法计算助产机构空间可达性结果不同,即(1)供需比例法显示深圳市南山区和福田区的每千名孕产妇病床数较少,六个行政区呈现非均等化的现象;(2)最短距离法显示在无助产机构的街道和面积大的街道,孕产妇至最近助产机构的最短距离较大;(3)使用两步移动搜寻法,设定20 km的就医极限出行距离,显示在龙岗区东部、南山区西部和宝安区北部可达性较差,在各行政区交界处可达性较好. 结论 不同的空间可达性计算方法有不同的侧重点,需要根据所关注和要解决的实际问题来选择合适的方法.     

COVID-19 vaccine website accessibility dashboard

BackgroundThe COVID-19 pandemic has exacerbated historical inequities for people with disabilities including barriers in accessing online information and healthcare appointment websites. These barriers were brought to the foreground during the vaccine rollout and registration process.ObjectiveThis cross-sectional study aimed to examine accessibility of U.S. state and territory COVID-19 information and registration centralized websites.MethodsThe Johns Hopkins Disability Health Research Center created a COVID-19 Vaccine Dashboard compiling COVID-19 information and vaccine registration web pages from 56 states and territories in the United States (U.S.) reviewed between March 30 through April 5, 2021 and analyzed accessibility using WAVE Web Accessibility Evaluation Tool (WAVE). WAVE identifies website accessibility barriers, including insufficient contrast, alternative text, unlabeled buttons, total number of errors, and error density. Web pages were ranked and grouped into three groups by number of errors, creating comparisons between states on accessibility barriers for people with disabilities.ResultsAll 56 U.S states and territories had COVID-19 information web pages and 29 states had centralized state vaccine registration web pages. Total errors, error density, and alert data were utilized to generate accessibility scores for each web page, the median score was 259 (range = 14 to 536 and IQR = 237) for information pages, and 146 (range = 10 to 281 and IQR = 105) for registration pages.ConclusionsThese results highlight barriers people with disabilities may encounter when accessing information and registering for the COVID-19 vaccine, which underscore inequities in the pandemic response for the disability community and elevate the need to prioritize accessibility of public health information.     

COVID-19 testing,case, and death rates and spatial socio-demographics in New York City: An ecological analysis as of June 2020

We assessed the geographic variation in socio-demographics, mobility, and built environmental factors in relation to COVID-19 testing, case, and death rates in New York City (NYC). COVID-19 rates (as of June 10, 2020), relevant socio-demographic information, and built environment characteristics were aggregated by ZIP Code Tabulation Area (ZCTA). Spatially adjusted multivariable regression models were fitted to account for spatial autocorrelation. The results show that different sets of neighborhood characteristics were independently associated with COVID-19 testing, case, and death rates. For example, the proportions of Blacks and Hispanics in a ZCTA were positively associated with COVID-19 case rate. Contrary to the conventional hypothesis, neighborhoods with low-density housing experienced higher COVID-19 case rates. In addition, demographic changes (e.g. out-migration) during the pandemic may bias the estimates of COVID-19 rates. Future research should further investigate these neighborhood-level factors and their interactions over time to better understand the mechanisms by which they affect COVID-19.     

MHV3SFCA: A new measure to capture the spatial accessibility of health care systems

Good accessibility of health care services is essential to meet the needs of the population and ensure adequate health care coverage. It usually refers to two spatial dimensions: availability (competition between populations for the same medical supply) and reachability (distance between population and medical supply). Traditional indicators of health care accessibility usually fail to consider both of these components simultaneously. Floating-Catchment-Area (FCA) methods were developed to address these shortcomings. This study reviews the existing FCA methods and proposes the Modified Huff-based Variable 3 Steps Floating Catchment Area (MHV3SFCA) method as a new approach. The MHV3SFCA method integrates the strengths of several existing FCA methods into a single method, such as supply competition through the Huff model, and the integration of variable effective catchment sizes. In addition, and as a novelty, the MHV3SFCA relies on the assumption of a constant overall population demand, independent of the distances between population units and supply sites. It also accounts for absolute difference in distances without overestimating distance effects. Based on the results of a simulation study the paper discusses the strengths of the MHV3SFCA method capturing spatial differences in access to health care services.     

Assessing the future direction of sustainable development in public hospitals: Time-horizon,path and action

PurposeTo assess the future direction of sustainable development in public hospitals, focusing on their short- versus long-term time horizons, top-down versus bottom-up paths, and intra-organizational versus inter-organizational actions.Design/Methodology/approachThe selection of significant health care organizations was based on judgmental sampling. This study applied an inductive approach. The interviewees were identified according to their knowledge of the future direction of their organizations’ sustainable development.FindingsThe sustainable development of the studied public hospitals is aimed at the synchronization of actions with other hospitals in the public healthcare system. The public hospitals studied differ in their interconnected elements of time (short- versus long-time horizons), paths (top-down versus bottom-up) and specific actions (intra-organizational versus inter-organizational).Research limitations/implications Offers insights into how to assess the direction of sustainable development in public hospitals. We stress the importance of time, path and action in conjunction. Furthermore, this study provides a three-dimensional framework to assess the future direction of sustainable development in organizations as well as in industries. Both the former and latter characteristics are shaped by the elements of time, path and action.Managerial ImplicationsProvides a three-dimensional framework of criteria to assess the direction of sustainable development in organizations. The assessment criteria may be used by organizations to assess the direction of other organizations in their industry. Industry associations or authorities may look into the status and future direction of sustainable development in industries or sectors as a whole. The assessment criteria provide an opportunity and foundation to benchmark against others in the same industry and insights to face pandemic as Covid-19.Originality/ValueFirst study to consider a three-dimensional framework based on time, path and action to assess the future direction of sustainable development in an organization.     

Measuring spatial accessibility to healthcare for populations with multiple transportation modes

Few measures of healthcare accessibility have considered multiple transportation modes when people seek healthcare. Based on the framework of the 2 Step Floating Catchment Area Method (2SFCAM), we proposed an innovative method to incorporate transportation modes into the accessibility estimation. Taking Florida, USA, as a study area, we illustrated the implementation of the multi-mode 2SFCAM, and compared the accessibility estimates with those from the traditional single-mode 2SFCAM. The results suggest that the multi-modal method, by accounting for heterogeneity in populations, provides more realistic accessibility estimations, and thus offers a better guidance for policy makers to mitigate health inequity issues.     

中国县级医疗卫生服务地理可及性的公平性分析

目的：建立中国县级层面的地区贫困指数以分析中国医疗卫生服务地理可及性的公平性。方法：采用主成分分析方法提取县级不同维度贫困指标的第一主成分得分,对其标准化后作为县级地区贫困指数。采用最小二乘法分析地区贫困和医疗卫生服务地理可及性的关系。结果：按照地区贫困指数分组,居住在最贫困20%地区的居民平均到最近医疗点的距离和时间分别是居住在最不贫困20%地区居民的2.60倍和2.25倍,存在显著的不公平性。回归分析结果显示,地区贫困指数每增加一个单位,到最近医疗点距离和时间分别增加22.1%和16.6%。结论：中国县级医疗卫生服务地理可及性随着地区贫困程度加深而恶化。     

An age-integrated approach to improve measurement of potential spatial accessibility to emergency medical services for urban areas

Objective: This study aimed to develop an age-included approach to measure the potential accessibility to Emergency medical services (EMS) across urban and suburban areas of Mashhad city in Iran. Methods: We used an improved version of two-step floating catchment area (2SFCA) and enhanced 2SFCA (E2SFCA) methods to measure the potential accessibility to EMS services with inclusion of age factor. This enabled us to better model accessibility of the older population to the EMS. We used 22 800 records of EMS enquiries from July to September 2018 to evaluate and assess the potential improvement in access to the EMS with incorporating age in the model. Results: Suburb areas had less potential accessibility compared with central urban due to the high density of EMS stations in the city center areas. Our model showed slight improvement in potential accessibility measurement as a result of the proposed age-integrated method. Conclusion: An age-integrated index of accessibility method takes into account the age distribution of the population in service area is highly associated with actual measures of accessibility to EMS services. Identifying areas with poor access to EMS will help policymakers to design better policy planning to allocate resources and improve provision of EMS services.     

Examining spatial inequality in COVID-19 positivity rates across New York City ZIP codes

We aim to understand the spatial inequality in Coronavirus disease 2019 (COVID-19) positivity rates across New York City (NYC) ZIP codes. Applying Bayesian spatial negative binomial models to a ZIP-code level dataset (N = 177) as of May 31st, 2020, we find that (1) the racial/ethnic minority groups are associated with COVID-19 positivity rates; (2) the percentages of remote workers are negatively associated with positivity rates, whereas older population and household size show a positive association; and (3) while ZIP codes in the Bronx and Queens have higher COVID-19 positivity rates, the strongest spatial effects are clustered in Brooklyn and Manhattan.     

Temporal availability of public health care in developing countries of the Caribbean: An improved two‐step floating catchment area method for estimating spatial accessibility to health care

Due to restrictions on personnel availability, the service capacity at a health facility may vary day to day based on an established schedule. This temporal variability influences a user's choice set, modifying their possible choices. As a result, the spatial accessibility of public health care may be constantly reshaped rather than being a relatively static experience as commonly represented in place‐based spatial accessibility literature. Building on the latest advances in the two‐step floating catchment method, this study presents further advancements through the inclusion of health facility schedules to better represent health care availability in the assessment of accessibility. The results show that the proposed method reveals communities with relatively poor accessibility that are hidden with many existing methods. By exposing the available care within time windows, a more accurate picture of the services available to be accessed is revealed. The findings suggest that improvement in the number of doctor hours at health facilities may reduce the disparities found in accessibility scores for communities. Further, in public health care systems similarly structured, the spatial configuration of facilities with doctors can be considered at the administrative level to ensure adequate levels of access across the jurisdiction.     

Health care costs and financial consequences of epidemiological changes in chronic diseases in Latin America: evidence from Mexico

OBJECTIVE: To determine the costs of health services and the financial consequences of changes in the epidemiological profile of chronic diseases in Latin America. STUDY DESIGN: We conducted longitudinal analyses of costs and of the economic impact of the epidemiological transition in healthcare services for diabetes and hypertension in the Mexican health system. The study population included both the insured and uninsured populations. METHODS: The cost-evaluation method was based on the instrumentation and consensus techniques. To estimate the epidemiological changes and financial consequences for 2004-2006, six models were constructed according to the Box-Jenkins technique, using confidence intervals of 95% and the Box-Pierce test. FINDINGS: Costs ranged from US$613 to US$887 for diabetes, and from US$485 to US$622 for hypertension. Regarding epidemiological changes for 2004 compared with 2006, an increase is expected in both cases, although results predict a greater increase for diabetes, 10-15% in all three institutions (P<0.05). Comparing the financial consequences of health services required by insured and uninsured populations, the greater increase (17%) will be for the insured population (P<0.05). The financial requirements for both diseases will amount to 9.5% of the total budget for the uninsured population and 13.5% for the insured population. CONCLUSIONS: If the risk factors and the different healthcare models remain as they are at present, the economic impact of expected epidemiological changes on the social security system will be particularly strong. Another relevant financial factor is the appearance of internal competition in the use and allocation of financial resources among the main providers in the health services; this factor becomes even more complicated within each provider. In effect, within each institution, hypertension and diabetes programmes must compete for resources with other programmes for chronic and infectious diseases.     

The superspreading places of COVID-19 and the associated built-environment and socio-demographic features: A study using a spatial network framework and individual-level activity data

Previous studies observed that most COVID-19 infections were transmitted by a few individuals at a few high-risk places (e.g., bars or social gathering venues). These individuals, often called superspreaders, transmit the virus to an unexpectedly large number of people. Further, a small number of superspreading places (SSPs) where this occurred account for a large number of COVID-19 transmissions. In this study, we propose a spatial network framework for identifying the SSPs that disproportionately spread COVID-19. Using individual-level activity data of the confirmed cases in Hong Kong, we first identify the high-risk places in the first four COVID-19 waves using the space-time kernel density method (STKDE). Then, we identify the SSPs among these high-risk places by constructing spatial networks that integrate the flow intensity of the confirmed cases. We also examine what built-environment and socio-demographic features would make a high-risk place to more likely become an SSP in different waves of COVID-19 by using regression models. The results indicate that some places had very high transmission risk and suffered from repeated COVID-19 outbreaks over the four waves, and some of these high-risk places were SSPs where most (about 80%) of the COVID-19 transmission occurred due to their intense spatial interactions with other places. Further, we find that high-risk places with dense urban renewal buildings and high median monthly household rent-to-income ratio have higher odds of being SSPs. The results also imply that the associations between built-environment and socio-demographic features with the high-risk places and SSPs are dynamic over time. The implications for better policymaking during the COVID-19 pandemic are discussed.     

Social support services for dementia during the COVID-19 pandemic: A longitudinal survey exploring service adaptations in the United Kingdom

Objectives

To understand how the delivery of dementia-related social support services across the UK adapted during the pandemic.

Methods

We devised a two-part online and telephone longitudinal survey. Providers participated between March and June 2021, and again 3 months later. Information relating to services delivered and delivery methods employed was collected before and during the pandemic at two timepoints (T1 and T2).

Results

A total of 75 participants completed the survey at T1, with 58 participants completing the survey at both timepoints. Thirty-six participants had complete data at T1. Day care centres and support groups were the most delivered primary services. During the pandemic, services shifted from in-person to remote or hybrid. While in-person services started to resume at T2, most services remained hybrid. At T2, the frequency of service delivery increased, however, a decreasing trend in usage was observed across survey timepoints. The telephone was the most employed format to deliver remote and hybrid services, however, reliance on videoconferencing software significantly increased at T1. Videoconferencing software was often used alongside the telephone and emails to remotely deliver services.

Conclusions

Services were able to adapt and provide support to some service recipients. Complementing novel approaches to service delivery with more traditional formats may facilitate access to service recipients with limited digital literacy. Following the easing of public health measures, many service recipients may be reluctant to engage with in-person services. Thus, the provision of in-person and remote services needs to be carefully balanced amidst the current hybrid landscape.

Patient or Public Contribution

Two public advisors (a former unpaid carer and a person living with dementia) were involved in designing and piloting the tool, interpreting the results and disseminating the findings. Both public advisors have experience in delivering dementia-related social support services before and or during the pandemic in the United Kingdom.     

Lean healthcare in developing countries: evidence from Brazilian hospitals

The present study evaluates how five sectors of two Brazilian hospitals have implemented lean healthcare concepts in their operations. The main characteristics of the implementation process are analyzed in the present study: the motivational factor for implementation, implementation time, form (consultancy or internal), team (hospital and consultants), lean implementation continuity/sustainability, lean healthcare tools and methods implemented, problems/improvement opportunities, lean healthcare barriers faced during the implementation process, and critical factors that affected the implementation and the results obtained in each case. The case studies indicate that reducing patient lead times and costs and making financial improvements were the primary factors that motivated lean healthcare implementation in the hospitals studied. Several tools and methods were used in the cases studied, especially value stream mapping and DMAIC. The barriers found in both hospitals are primarily associated with the human factor. Additionally, the results obtained after implementation were analyzed and improvements in financial aspects, productivity and capacity, and lead time reduction of the analyzed sectors were observed. Further, this study also exhibited four propositions elaborated from the results obtained from the cases that highlighted barriers and challenges to lean healthcare implementation in developing countries. Two of these barriers are hospital organizational structure (and, consequently, how the senior management works with medical staff), and outsourcing hospital activities. This study also concluded that the initialization and maintenance of lean healthcare implementation rely heavily on external support because lean healthcare subject knowledge is not yet available in the healthcare organization, which represents a challenge. Copyright © 2015 John Wiley & Sons, Ltd.