scholarly journals Access to primary care for socio-economically disadvantaged older people in rural areas: exploring realist theory using structural equation modelling in a linked dataset

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
John A. Ford ◽  
Andy Jones ◽  
Geoff Wong ◽  
Allan Clark ◽  
Tom Porter ◽  
...  
PLoS ONE ◽  
2018 ◽  
Vol 13 (3) ◽  
pp. e0193952 ◽  
Author(s):  
John A. Ford ◽  
Rachel Turley ◽  
Tom Porter ◽  
Tom Shakespeare ◽  
Geoff Wong ◽  
...  

BMJ Open ◽  
2018 ◽  
Vol 8 (9) ◽  
pp. e021741 ◽  
Author(s):  
Mengyun Luo ◽  
Yajiong Xue ◽  
Shunxing Zhang ◽  
Yuanyuan Dong ◽  
Dandan Mo ◽  
...  

ObjectivesGiven the increasing need of long-term care and the low occupancy rate of nursing homes in Shanghai, this study attempts to explore what factors influence older people’s intention to enrol in nursing homes.DesignA cross-sectional observational study based on the theory of reasoned action was conducted. Survey data were collected from subjects during face-to-face interviews. Structural equation modelling was employed for data analysis.SettingThis study was conducted in six community health service centres in Shanghai, China. Two service centres were selected in urban, suburban and rural areas, respectively.ParticipantsA total of 641 Shanghai residents aged over 60 were surveyed.ResultsStructural equation modelling analysis showed that the research model fits the data well (χ2/df=2.948, Comparative Fit Index=0.972 and root mean squared error of approximation =0.055). Attitude (β=0.41, p<0.01), subjective norm (β=0.28, p<0.01) and value-added service (β=0.16, p<0.01) were directly associated with enrolment intention, explaining 32% of variance in intention. Attitude was significantly influenced by loneliness (β=−0.08, p<0.05), self-efficacy (β=0.32, p<0.01) and stigma (β=−0.24, p<0.01), while subjective norm was significantly influenced by life satisfaction (β=−0.15, p<0.01) and stigma (β=−0.43, p<0.01).ConclusionsThis study advances knowledge regarding the influencing factors of older people’s intention to enrol in nursing homes. It suggests that Chinese older persons’ perceived stigma has the strongest indirect effect on their intention to enrol in nursing homes. This is unique to the Chinese context and has practical implications for eldercare in China and other Asian countries with similar sociocultural contexts.


2018 ◽  
Vol 39 (9) ◽  
pp. 1996-2017 ◽  
Author(s):  
SOONDOOL CHUNG ◽  
HYUNJU PARK

ABSTRACTThis study examined the causal relationship between knowledge, attitudes and discriminatory behaviour towards older people and further explored age-group differences using multi-group analysis. Data were collected from 1,500 Korean adults aged 20 and older in 2011 using the multi-stage quota sampling method. Trained investigators collected data with a developed survey questionnaire in person and a structural equation modelling method was used for data analysis. Attitudes towards older people was measured using two variables: ‘image of older people’ and ‘prejudice against older people’. The findings revealed that the younger and older generations demonstrated differences regarding the causal relationship between knowledge, attitudes and discriminatory behaviour towards older people. The paths model between independent and dependent variables in the structural equation modelling was non-equivalent in younger and older groups. For both groups, knowledge about ageing and older people led to a positive influence on their image of and prejudice against older people. The effect of prejudice on discriminatory behaviour was significant in the younger group, but not in the older group. Further implications for practice and future research to reduce ageism were discussed.


2019 ◽  
Vol 17 (2) ◽  
pp. 172-179 ◽  
Author(s):  
N. Galluzzo

In Italy there has been a significant decrease of farms which undertake an important role in rural environmental protection and in the socio-economic development in rural areas. PURPOSE: The aim of this paper was to assess by a quantitative methodology the index of rurality in Italian farms part of the FADN dataset since 2004 to 2016. METHODS: The methodology has used the Partial Least Square Structural Equation Modelling aimed at estimating the notable cause-effect relationships among all economic variables. RESULTS: Findings have pointed out as the variable financial subsidies allocated by the CAP and the farm specialization have influenced the index of rurality. CONCLUSIONS: For the future development of rural areas it is important to support financially rural areas; in particular subsidies should be addressed to less favored areas in order to reduce their socio-economic marginalization.


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