Spatial disparity and structural inequality in disability patterns across Tianjin municipality: A multiple deprivation perspective

Qiu, Ning; Cheng, Jinquan; Zhang, Tianjie

doi:10.1016/j.habitatint.2022.102685

Cited by 11 publications

(18 citation statements)

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“…Such occurrences are particularly prevalent in areas with inadequate road safety education, legislative measures, and healthcare, such as urban fringes and rural regions with high limb disability incidence(Tobias et al, 2021). Furthermore, the QR coe cient of the migrant population increases PoD_limb in the 40th to 60th quantile, primarily in rural areas, corroborating ndings that high PoD_limb rates were partly attributable to industrial accidents and other injuries resulting from informal employment(Qiu et al, 2022).Regarding PoD_intellectual, QR results suggest that educational facilities reduce prevalence in the 80th and 90th quantiles, predominantly in rural areas. This implies that enhancing education levels in rural regions could improve medical knowledge (e.g., prenatal care), thereby reducing heredity-related intellectual disabilities(Lichtenstein et al, 2022).…”

mentioning

confidence: 60%

Identifying Urban-Rural Disparities and Dominant Determinants of Prevalence of Disabilities in Tianjin, China

Jiang

Qiu

et al. 2023

Preprint

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In the current context of aging and urbanization, the rapid increase in the prevalence of disabilities (PoDs) has become an important consideration in healthy urban planning. Previous studies have focused on the spatial prevalence of total disabilities based on large-scale survey data. However, few studies have examined different types of PoDs and the factors contributing to spatial disparities in micro-urban units at the municipal level. This study aims to fill this gap by exploring the spatial PoDs, related built environments, and socio-economic factors across Tianjin municipality in 2020. The study employed Getis-Ord GI* analysis to identify urban-rural disparities and OLS and quantile regression analyses to model the heterogeneous effects of the spatial PoDs determinants across quantiles. The results reveal that the PoDs, especially visual, hearing, and limb disabilities, in the urban centre, are significantly higher than those in rural areas, which is inconsistent with previous studies conducted in China. Urbanization rate, medical facilities, and education facilities significantly reduced total PoDs, while the elderly population, migrant population, bus route density, and road density significantly increased it. The built environments and socio-economic factors had heterogeneous impacts on different types of PoDs, which were summarized into three categories based on the dominant determinants: (1) visual and hearing disabilities were medical facility dominated; (2) intellectual and limb disabilities were urbanization, and aging dominated; and (3) mental and speech disabilities were migrant dominated. This study provides scientific advice to adapt to the expected increase in demand for disability-related medical and public health services and to expand the range of effective strategies and interventions aimed at preventing the deterioration of disability and improving disability management in the population.

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confidence: 60%

Identifying Urban-Rural Disparities and Dominant Determinants of Prevalence of Disabilities in Tianjin, China

Jiang

Qiu

et al. 2023

Preprint

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“…The distribution of healthcare services tend to prioritize efficiency, concentrated in more urbanized areas, and for populations such as the elderly, young, and women of childbearing age, cities can provide more convenient services and living conditions (Qiu et al, 2022). Although the consideration of the distribution of healthcare resources increases equitable access to services (Iyer et al, 2020), it also objectively causes inequalities in healthcare by forcing some vulnerable groups to receive deprivation of healthcare space, in line with the findings of Huang et al (2020), Székely andNovotný (2022), andQiu et al (2022). Ensuring accessibility, especially for the most vulnerable groups in the community, is an important component of achieving healthcare equity.…”

Section: The Vulnerable Groups and Hsdmentioning

confidence: 99%

“…The demographic changes caused by urbanization, in particular, have increased demand for healthcare institutions, resulting in a mismatch between healthcare services and population demands, exacerbating healthcare inequalities and leading to healthcare spatial deprivation (HSD; Li et al, 2016;Prasad et al, 2018;Lopes et al, 2019). This kind of deprivation is particularly reflected in the spatial deprivation of vulnerable groups such as the elders (Kabisch et al, 2017), women (Jarman, 1983), children (Huang et al, 2020), the disabled (Qiu et al, 2022), the poor (Loignon et al, 2015;Taylor and Pettit, 2020), and rural residents (Han and Chung, 2022). Many studies (Huang et al, 2020;Qiu et al, 2022) summarize deprivation factors, i.e., social status (Jarman, 1983;Whitehead et al, 2019;Lanlan, 2021), economic status (Loignon et al, 2015), healthcare demands (Field, 2000), accessibility (Baraklianos et al, 2020), and urban-rural disparity (Han and Chung, 2022), which are from extended thinking and in-depth exploration of poverty deprivation.…”

Section: Introductionmentioning

confidence: 99%

“…This kind of deprivation is particularly reflected in the spatial deprivation of vulnerable groups such as the elders (Kabisch et al, 2017), women (Jarman, 1983), children (Huang et al, 2020), the disabled (Qiu et al, 2022), the poor (Loignon et al, 2015;Taylor and Pettit, 2020), and rural residents (Han and Chung, 2022). Many studies (Huang et al, 2020;Qiu et al, 2022) summarize deprivation factors, i.e., social status (Jarman, 1983;Whitehead et al, 2019;Lanlan, 2021), economic status (Loignon et al, 2015), healthcare demands (Field, 2000), accessibility (Baraklianos et al, 2020), and urban-rural disparity (Han and Chung, 2022), which are from extended thinking and in-depth exploration of poverty deprivation. To analyze how these factors affect IHRSD and HSD, there are referential studies on constructing multiple deprivation indices, such as the Townsend Deprivation Index (Townsend, 1987), the Under Privileged Area Score (Jarman, 1983(Jarman, , 1984, the Carstairs Deprivation Index (Carstairs, 1995), Geo-PSA (Geographic-Population Services Access Model; Iyer et al, 2020), IRD (Field, 2000), and the Disability Multiple Deprivation Index (Qiu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Many studies (Huang et al, 2020;Qiu et al, 2022) summarize deprivation factors, i.e., social status (Jarman, 1983;Whitehead et al, 2019;Lanlan, 2021), economic status (Loignon et al, 2015), healthcare demands (Field, 2000), accessibility (Baraklianos et al, 2020), and urban-rural disparity (Han and Chung, 2022), which are from extended thinking and in-depth exploration of poverty deprivation. To analyze how these factors affect IHRSD and HSD, there are referential studies on constructing multiple deprivation indices, such as the Townsend Deprivation Index (Townsend, 1987), the Under Privileged Area Score (Jarman, 1983(Jarman, , 1984, the Carstairs Deprivation Index (Carstairs, 1995), Geo-PSA (Geographic-Population Services Access Model; Iyer et al, 2020), IRD (Field, 2000), and the Disability Multiple Deprivation Index (Qiu et al, 2022). These indicators and models play an important role in measuring the quality of urbanization, not only to improve the equalization of public services, but also to establish a basic public service system that benefits all people.…”

Section: Introductionmentioning

confidence: 99%

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Measuring the healthcare spatial deprivation in multiple perspectives: a case study of Ningbo city

Qian,

Qiao,

et al. 2023

Front. Sustain. Cities

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BackgroundEqualization of medical services is fundamental to the development of people-centered urbanization in Chinese-style modernization. In the past few decades, the achievements of the Chinese economy have remarkably increased the quantity and quality of healthcare services. Under rapid urbanization, large-scale population floating has led to a mismatch between supply and demand for healthcare services and raised the tension between spatial demographic reorganization and the relative stability of public healthcare service facilities. The current studies of healthcare spatial deprivation (HSD) mainly are focus on either supply, or demand, or accessibility based on census data. Therefore, it is necessary to build a multiple index that could give a physical result by using ordinary indices and mixing them together by relative methods to overcome this problem.MeasureWe chose Ningbo city, Zhejiang province, located in the eastern coastal region of China, as the study area. Moreover, from 2000 to 2020, the urbanization rate of Ningbo rapidly increased from 55.75 to 78.0%. In order to show the HSD in a rapidly urbanizing city, we first consider the subdistrict as the scale, innovatively absolve the medical accessibility to the IRD (Index of Relative Disadvantage), and construct the Index of Healthcare Relative Spatial Deprivation (IHRSD) framework. Based on the seventh national census data, we apply an IHRSD with Entropy Weight Method, 2SFCA (Two-step Floating Catchment Area Method) and GDM (Geographical Detector Model) to measure where and who are vulnerable to deprive in healthcare.ResultMeasured by IHRSD, (1) There is stronger healthcare spatial deprivation in peri-urban and developed-town in Ningbo; (2) Young childhood and fertile-women are vulnerable to healthcare spatial deprivation, in fact, they are spatially deprived in healthcare; (3) The socio-demographic attribute is a significant factor in healthcare spatial deprivation, especially the level of aging and population clustering; and (4) The relationship between healthcare spatial deprivation and accessibility shows an inverted U-shaped structure.ConclusionOur experiments show that the problems of HSD are mainly from the characteristics of the population, the layout of healthcare service institutions, the accessibility of the traffic system and the natural conditions. Although the constructions of equalization of primary medical and health services, hierarchical diagnosis, and treatment, and the “healthcare complex” are currently trying to reduce the phenomenon of HSD. Faced with groups and location, the acquisition of the accurately healthcare service supply is the key to realizing healthcare spatial equity.

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The climate backgrounds of urban migrants affect thermal response

Li,

Sun,

Cheng

et al. 2024

Building and Environment

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Spatial disparity and structural inequality in disability patterns across Tianjin municipality: A multiple deprivation perspective

Cited by 11 publications

References 73 publications

Identifying Urban-Rural Disparities and Dominant Determinants of Prevalence of Disabilities in Tianjin, China

Identifying Urban-Rural Disparities and Dominant Determinants of Prevalence of Disabilities in Tianjin, China

Measuring the healthcare spatial deprivation in multiple perspectives: a case study of Ningbo city

The climate backgrounds of urban migrants affect thermal response

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