Measuring geographical accessibility to rural and remote health care services: Challenges and considerations

Perceived Access to Healthcare of Indigenous Peoples in Canada With Rheumatoid Arthritis and Their First-Degree Relatives

OBJECTIVE

There are complex and interrelated factors that lead to inequitable healthcare delivery in Canada. Many of the factors that underlie these inequities for Canada's geographically dispersed Indigenous peoples remain underexamined.

METHODS

A cohort of 831 First Nations (FN) individuals from urban and remote communities were recruited into a longitudinal study of rheumatoid arthritis (RA) risk from 2005 to 2017. Data from each participant's initial enrollment visit were assessed using a survey that captured concerns with healthcare access.

RESULTS

We found that remote participants with RA reported poor access compared to remote first-degree relatives (FDRs; P < 0.001); this difference was not observed for urban participants with RA. We observed substantial differences based on sex; female participants perceived access to care to be more difficult than male participants in both urban and remote cohorts (P < 0.001). We also observed that male participants with RA reported poor access to care compared to male FDRs. Importantly, access to care in remote communities appeared to improve over the duration of the study (P = 0.01). In a logistic regression analysis, female sex, remote location, and older age were independent predictors of poor access to care. Predictors of poor access in participants with RA also included female sex, remote location, and older age.

CONCLUSION

FN peoples living in remote communities, particularly those with an established RA diagnosis, report more problems accessing health care. Sex-based inequities exist, with FN female individuals reporting greater difficulties in accessing appropriate health care, regardless of RA diagnosis. Addressing these sex-based inequities should be a high priority for improving healthcare delivery.

Geographic accessibility to physiotherapy care in Aotearoa New Zealand

Disparities in care access for health conditions where physiotherapy can play a major role are abetting health inequities. Spatial analyses can contribute to illuminating inequities in health yet the geographic accessibility to physiotherapy care across New Zealand has not been examined. This population-based study evaluated the accessibility of the New Zealand physiotherapy workforce relative to the population at a local scale. The locations of 5,582 physiotherapists were geocoded and integrated with 2018 Census data to generate 'accessibility scores' for each Statistical Area 2 using the newer 3-step floating catchment area method. For examining the spatial distribution and mapping, accessibility scores were categorized into seven levels, centered around 0.5 SD above and below the mean. New Zealand has an above-average physiotherapy-to-population ratio compared with other OECD countries; however, this workforce is maldistributed. This study identified areas (and locations) where geographic accessibility to physiotherapy care is relatively low.

Spatial Accessibility of Primary Care in the Dual Public-Private Health System in Rural Areas, Malaysia

Disparities in access to health services in rural areas represent a global health issue. Various external factors contribute to these disparities and each root requires specific remedial action to alleviate the issue. This study elucidates an approach to assessing the spatial accessibility of primary care, considering Malaysia's dual public-private system specifically in rural areas, and identifies its associated ecological factors. Spatial accessibility was calculated using the Enhance 2-Step Floating Catchment Area (E2SFCA) method, modified as per local context. Data were secondary sourced from Population and Housing Census data and administrative datasets pertaining to health facilities and road network. The spatial pattern of the E2SFCA scores were depicted using Hot spot Analysis. Hierarchical multiple linear regression and geographical weight regression were performed to identify factors that affect E2SFCA scores. Hot spot areas revolved near the urban agglomeration, largely contributed by the private sector. Distance to urban areas, road density, population density dependency ratios and ethnic composition were among the associated factors. Accurate conceptualization and comprehensive assessment of accessibility are crucial for evidence-based decision making by the policymakers and health authorities in identifying areas that need attention for a more specific and localized planning and development.

The Contributions of Population Distribution, Healthcare Resourcing, and Transportation Infrastructure to Spatial Accessibility of Health Care

Population demand, healthcare resourcing, and transportation linkage are considered as major determinants of spatial access to health care. Temporal changes of the 3 determinants would result in gain or loss of spatial access to health care. As a remarkable milestone achieved by Targeted Poverty Reduction Project launched in China, the significant improvements in spatial access to health care served as an ideal context for investigating the relative contributions of these 3 determinants to the changes in spatial access to health care in a rural county. A national level poverty-stricken county, Chishui county from Guizhou province, China, was chosen as our study area. The enhanced two-step floating catchment area model and the chain substitution method were employed for analysis. The relative contributions of the 3 determinants demonstrated variations with villages. The relative contributions of healthcare resourcing were positive in all villages as indicated by sharp increases in healthcare resources. Population changes and transportation infrastructure expansion had both negative and positive effects on spatial access to health care for different villages. Decisionmakers should take into account the duration of travel time spent between where people live, where transport hubs are located, and where healthcare services are delivered in the process of formulating policies toward rural healthcare planning. For villages with poorly-established infrastructure, the optimization of population distribution and healthcare resourcing should be considered as the priority. A stronger marginal effect would be induced by transportation infrastructure expansion with increased spatial accessibility. This study provides empirical evidences to inform healthcare planning in low- and middle-income countries.

Aging in Rural Communities

Purpose of Review

Population aging is occurring worldwide, particularly in developed countries such as the United States (US). However, in the US, the population is aging more rapidly in rural areas than in urban areas. Healthy aging in rural areas presents unique challenges. Understanding and addressing those challenges is essential to ensure healthy aging and promote health equity across the lifespan and all geographies. This review aims to present findings and evaluate recent literature (2019-2022) on rural aging and highlight future directions and opportunities to improve population health in rural communities.

Recent Findings

The review first addresses several methodological considerations in measuring rurality, including the choice of measure used, the composition of each measure, and the limitations and drawbacks of each measure. Next, the review considers important concepts and context when describing what it means to be rural, including social, cultural, economic, and environmental conditions. The review assesses several key epidemiologic studies addressing rural-urban differences in population health among older adults. Health and social services in rural areas are then discussed in the context of healthy aging in rural areas. Racial and ethnic minorities, indigenous peoples, and informal caregivers are considered as special populations in the discussion of rural older adults and healthy aging. Lastly, the review provides evidence to support critical longitudinal, place-based research to promote healthy aging across the rural-urban divide is highlighted.

Summary

Policies, programs, and interventions to reduce rural-urban differences in population health and to promote health equity and healthy aging necessitate a context-specific approach. Considering the cultural context and root causes of rural-urban differences in population health and healthy aging is essential to support the real-world effectiveness of such programs, policies, and interventions.

Association of travel time with mental health service use in primary health care according to contact type - a register-based study in Kainuu, Finland

BACKGROUND

The study aim was to analyse how mental health services are used in different parts of the Kainuu region in Finland and whether travel time to primary health care services is associated with the use of different contact types (in-person visits, remote contacts, home visits).

METHODS

The study population included adults who had used mental health services under primary health care (N = 7643) between 2015 and 2019. The travel times to the nearest health centre in a municipality were estimated as the population-weighted average drive time in postal code areas. The Kruskal-Wallis test and pairwise comparisons with Dunn-Bonferroni post hoc tests were used to assess the differences in mental health service use between health centre areas. A negative binomial regression was performed for the travel time categories using different contact types of mental health service use as outcomes. Models were adjusted for gender, age, number of mental health diseases and the nearest health centre in the municipality.

RESULTS

Distance was negatively associated with mental health service use in health centre in-person visits and in home visits. In the adjusted models, there were 36% fewer in-person visits and 83% fewer home visits in distances further than 30 min, and 67% fewer home visits in a travel time distance of 15-30 min compared with 15 min travel time distance from a health centre. In the adjusted model, in remote contacts, the incidence rate ratios increased with distance, but the association was not statistically significant.

CONCLUSIONS

The present study revealed significant differences in mental health service use in relation to travel time and contact type, indicating possible problems in providing services to distant areas. Long travel times can pose a barrier, especially for home care and in-person visits. Remote contacts may partly compensate for the barrier effects of long travel times in mental health services. Especially with conditions that call for the continuation and regularity of care, enabling factors, such as travel time, may be important.

Long-Term Rehabilitation Utilization Pattern Among Stroke Patients Under the National Health Insurance Program

OBJECTIVE

The aim of this study was to understand the frequency of patients receiving rehabilitation services at various periods after stroke and the possible medical barriers to receiving rehabilitation.

DESIGN

A retrospective cohort study was conducted using a nationally representative sample in Taiwan. A total of 14,600 stroke patients between 2005 and 2011 were included. Utilization of physical therapy or occupational therapy at different periods after stroke onset was the outcome variable. Individual and geographic characteristics were investigated to determine their effect on patients' probability of receiving rehabilitation.

RESULTS

More severe stroke or more comorbid diseases increased the odds of receiving physical therapy and occupational therapy; older age was associated with decreased odds. Notably, sex and stroke type influenced the odds of rehabilitation only in the early period. Copayment exemption lowered the odds of rehabilitation in the first 6 mos but increased the odds in later periods. Rural and suburban patients had significantly lower odds of receiving physical therapy and occupational therapy, as did patients living in areas with fewer rehabilitation therapists.

CONCLUSIONS

Besides personal factors, geographic factors such as urban-rural gaps and number of therapists were significantly associated with the utilization of post-stroke rehabilitation care. Furthermore, the influence of certain factors, such as sex, stroke type, and copayment exemption type, changed over time.

Predicting demand for long-term care using Japanese healthcare insurance claims data

BACKGROUND

Driven by the rapid aging of the population, Japan introduced public long-term care insurance to reinforce healthcare services for the elderly in 2000. Precisely predicting future demand for long-term care services helps authorities to plan and manage their healthcare resources and citizens to prevent their health status deterioration.

METHODS

This paper presents our novel study for developing an effective model to predict individual-level future long-term care demand using previous healthcare insurance claims data. We designed two discriminative models and subsequently trained and validated the models using three learning algorithms with medical and long-term care insurance claims and enrollment records, which were provided by 170 regional public insurers in Gifu, Japan.

RESULTS

The prediction model based on multiclass classification and gradient-boosting decision tree achieved practically high accuracy (weighted average of Precision, 0.872; Recall, 0.878; and F-measure, 0.873) for up to 12 months after the previous claims. The top important feature variables were indicators of current health status (e.g., current eligibility levels and age), risk factors to worsen future healthcare status (e.g., dementia), and preventive care services for improving future healthcare status (e.g., training and rehabilitation).

CONCLUSIONS

The intensive validation tests have indicated that the developed prediction method holds high robustness, even though it yields relatively lower accuracy for specific patient groups with health conditions that are hard to distinguish.

Measuring Spatial Accessibility of Urban Medical Facilities: A Case Study in Changning District of Shanghai in China

Medical facilities help to ensure a higher quality of life and improve social welfare. The spatial accessibility determines the allocation fairness and efficiency of medical facilities. It also provides information about medical services that residents can share. Although critical, scholars often overlooked the level of medical facilities, the composition of integrated transportation networks, and the size of service catchment in the literature on accessibility. This study aims to fill this research gap by considering the integrated transportation network, population scale, travel impedance between medical facilities and residential areas, and the impact of medical facilities' levels on residents' medical choices. An improved potential model was constructed to analyze the spatial accessibility of medical facilities in Changning District of Shanghai, China. Interpolation analysis was conducted to reveal the spatial accessibility pattern. Cluster and outlier analysis and Getis-Ord Gi* analysis were applied for the cluster analysis. Results show that the spatial accessibility of medical facilities is quite different in different residential areas of Changning District, Shanghai. Among them, the spatial accessibility of medical facilities is relatively high in Hongqiao subdistrict, Xinjing Town, and part of Xinhua Road subdistrict. In addition, residents have overall better access to secondary hospitals than to primary and tertiary hospitals in the study area. This study provides a spatial decision support system for urban planners and policymakers regarding improving the accessibility of healthcare facilities. It extends the literature on spatial planning of public facilities and could facilitate scientific decision making.

Assessing Health Resources Equipped with Hemodynamic Rooms in the Portuguese-Spanish Borderland: Cross-Border Cooperation Strategies as a Possible Solution

Portugal and Spain share one of the greatest European borderland areas. This fact has direct impacts on a large territory and consequently on the communities’ living in it. Still, even if the border areas represent an essential fraction of the territory, planning policies have not resulted in specific cooperation programs that could enable sharing general leisure and recreation assets and infrastructures and collaboration in critical domains—i.e., the case of the health sector. The present study aims to assess the territorial accessibility to the hemodynamic rooms by the potential population of the Spanish-Portuguese transition areas that may suffer an acute myocardial infarction. Contextually, this study employed a spatial interaction model based on the three-step floating catchment area method (method-3SFCA). By applying these methods, it was possible to develop a map of accessibility to health infrastructures equipped with hemodynamics rooms on both sides of the border that may answer the Spanish-Portuguese border populations’ needs. Besides, while granting valuable information for decision-makers regarding the need to develop new infrastructures to guarantee that even considering cross border cooperation, everyone gets access to a hemodynamics room within the critical intervention period.

Access to inflammatory bowel disease speciality care: the primary healthcare physician perspective

BACKGROUND

There is little literature related to access to inflammatory bowel disease (IBD) care that incorporates the perspective of key system stakeholders, such as primary healthcare providers (PHCP), despite their clear and integral role in facilitating access.

OBJECTIVE

This study aimed to identify barriers to referring patients to speciality IBD care as perceived by referring PHCP. In particular, we sought to understand PHCP satisfaction with the current IBD specialist referral system, as well as indicators of geographic variance to access.

METHODS

A population-based survey was mailed out to currently practising PHCPs who have referred or who are currently referring patients to IBD speciality care in Nova Scotia (Canada). Descriptive statistics and multivariate analyses were performed. Qualitative comments were themed using framework analysis to identify key barriers.

RESULTS

The majority of PHCP (57%) were dissatisfied with the current referral process due to long patient wait times and perceived system inefficiency. Key areas of geographic variance in access included access to speciality care in the community and patient wait times. PHCPs suggested ideas to improve access including increased gastroenterologist supply, particularly in rural areas, and the creation of a provincial centralized referral and triage process.

CONCLUSIONS

PHCPs play an important role in identifying and managing patients with IBD in partnership with gastroenterologists. This study identifies key PHCP perceived barriers that may prevent patients from accessing speciality IBD care. Understanding and addressing barriers to access from multiple stakeholder perspectives, including PHCPs, has the potential to support informed system redesign and overcome access inequities.

Selecting Health Need Indicators for Spatial Equity Analysis in the New Zealand Primary Care Context

PURPOSE

To examine potential indicators of health need for primary care in spatial equity research, and evidence of the Inverse Care Law in the Waikato region of New Zealand.

METHODS

A cross-sectional analysis of 7 health need indicators (ambulatory sensitive hospitalizations; cancer rate; mortality rate; New Zealand index of multiple deprivation-health domain; age; New Zealand index of deprivation; smoking rate) that were identified through a systematic review was carried out. Values of indicators were mapped and analyzed using geographic information systems (GIS). Spearman's correlations were calculated between indicators, and clusters of high need were identified through spatial autocorrelation. The impact of incorporating indicator-based weightings into an accessibility model was tested using analysis of variance and Spearman's correlations. General practice service spatial equity was assessed by comparing clusters of high access versus need, and quantified through the Gini coefficient.

FINDINGS

Ambulatory sensitive hospitalization (ASH) rates were significantly correlated with all indicators. Health needs were significantly clustered, but incorporating indicator weightings into the spatial accessibility analysis did not impact accessibility scores. A misalignment of access and need, and a Gini coefficient of 0.281 suggest that services are not equitably distributed.

CONCLUSION

ASH rates seem a robust indicator of health need. However, data access issues may restrict their use. Area-level socioeconomic deprivation measures incorporate some social determinants of health, and they have potential for wider use. High need clusters vary spatially according to the indicator used. GIS techniques can identify "hot-spots" of need, but these can be masked in accessibility models.

Role of Area-Level Access to Primary Care on the Geographic Variation of Cardiometabolic Risk Factor Distribution: A Multilevel Analysis of the Adult Residents in the Illawarra-Shoalhaven Region of NSW, Australia

BACKGROUND

Access to primary care is important for the identification, control and management of cardiometabolic risk factors (CMRFs). This study investigated whether differences in geographic access to primary care explained area-level variation in CMRFs.

METHODS

Multilevel logistic regression models were used to derive the association between area-level access to primary care and seven discrete CMRFs after adjusting for individual and area-level co-variates. Two-step floating catchment area method was used to calculate the geographic access to primary care for the small areas within the study region.

RESULTS

Geographic access to primary care was inversely associated with low high density lipoprotein (OR 0.94, CI 0.91-0.96) and obesity (OR 0.91, CI 0.88-0.93), after adjusting for age, sex and area-level disadvantage. The intra-cluster correlation coefficient (ICCs) of all the fully adjusted models ranged between 0.4-1.8%, indicating low general contextual effects of the areas on CMRF distribution. The area-level variation in CMRFs explained by primary care access was ≤10.5%.

CONCLUSION

The findings of the study support proportionate universal interventions for the prevention and control of CMRFs, rather than any area specific interventions based on their primary care access, as the contextual influence of areas on all the analysed CMRFs were found to be minimal. The findings also call for future research that includes other aspects of primary care access, such as road-network access, financial affordability and individual-level acceptance of the services in order to gain an overall picture of the area-level contributing role of primary care on CMRFs in the study region.