The Socioeconomic Determinants of the Housing Decisions of Elderly Homeowners

1995 ◽  
pp. 13-44
Keyword(s):  
Socioeconomic Determinants

scholarly journals Socioeconomic Determinants, Regional Differences, and Quality of Nephrology Research in Africa

2020 ◽  
Vol 5 (10) ◽  
pp. 1805-1810
Author(s):  
Jean Jacques Noubiap ◽  
Jean Joel Bigna ◽  
Aude L. Ndoadoumgue ◽  
Udeme Ekrikpo ◽  
Jan Nkeck ◽  
...  
Keyword(s):  
Regional Differences ◽  
Socioeconomic Determinants

scholarly journals Assisted reproduction in Spain, outcome and socioeconomic determinants of access

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ido Alon ◽  
Jaime Pinilla
Keyword(s):  
Assisted Reproductive Technologies ◽  
Research Question ◽  
Public Funding ◽  
Probit Model ◽  
Reproductive Technologies ◽  
Public Healthcare ◽  
Fertility Survey ◽  
Public Care ◽  
Socioeconomic Determinants ◽  
Public Clinics

Abstract Research question We analyzed two questions. First, the effectiveness of public Assisted Reproductive Technologies (ART) in Spain compared with private ones, measured by the time since initiating ART treatment until achieving pregnancy, accounting for age and socioeconomic factors. Second, socioeconomic determinants of access to ART, referring primarily to financial means derived by employment, income, and wealth. Design We applied statistical models on data extracted from the national Spanish Fertility Survey from 2018. The first topic was analyzed by competing risk survival analysis conducted on a sample of 667 women who initiate ART treatment since 2000. The second, by a Bivariate Probit model conducted on a sample of 672 women older than 41 years who required ART services. Results The first analysis raised that throughout the treatment, patients treated exclusively in private clinics had on average a higher cumulative incidence of becoming pregnant compared with patients who approached public clinics. The second analysis raised that both higher household equivalent income and higher education increase the likelihood of accessing ART in a private clinic and decrease the tendency of accessing public clinics or failing to access any service. Moreover, being single decreases the likelihood of accessing public clinics or ART services in general. Conclusions Long waiting periods could be the main reason for the lower incidence of getting pregnant in public healthcare, explaining why patients choose private over public care. We develop a broader discussion over the extent of Spanish public funding of ART, the unequal medical outcome, and potential options for optimization.

An empirical study of socioeconomic determinants of crime in Malaysia

2021 ◽  
Author(s):  
Nor Hidayah Harun ◽  
Mohd Shahidan Shaari ◽  
Tunku Salha Tunku Ahmad
Keyword(s):  
Empirical Study ◽  
Socioeconomic Determinants

scholarly journals Increasing concentration of COVID-19 by socioeconomic determinants and geography in Toronto, Canada: an observational study

2021 ◽  
Author(s):  
Sharmistha Mishra ◽  
Huiting Ma ◽  
Gary Moloney ◽  
Kristy CY Yiu ◽  
Dariya Darvin ◽  
...  
Keyword(s):  
Observational Study ◽  
Socioeconomic Determinants

scholarly journals Geospatial analysis of emergency services use for public health assessment and intervention

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
G Cassourret
Keyword(s):  
Public Health ◽  
Primary Care ◽  
Unemployment Rate ◽  
Emergency Services ◽  
Health Interventions ◽  
Healthcare Provision ◽  
Socioeconomic Determinants ◽  
Primary Care Doctors ◽  
Use Of Emergency Services ◽  
Neighborhood Level

Abstract The population is increasingly using emergency care services around the world. The underlying interrogation is whether this increase is a consequence from a dysfunction in healthcare provision, from a deterioration in the health status of the population or from socioeconomic determinants. We performed geospatial analyses with 3-year 1,081,026 Emergency Medical Services (EMS) responses in Paris and its suburbs. Incidence of calls per population and complaints were compared, at the neighborhood level, with demographic and socioeconomic determinants. Associations with characteristics of the health system such as the density of primary care doctors were also studied. Spatial autocorrelations were searched with Moran's I analyses. We found a positive correlation between the incidence of EMS calls by population for respiratory problems, and the level of poverty as well as the unemployment rate (p < 0.001). There was no significant correlation between psychiatric complaints and socioeconomic determinants. There was a strong correlation between calls for birth or imminent birth by woman of childbearing age and the unemployment rate among women, the unemployment rate overall and household median household income (p < 0.001). There was no correlation between the density of primary care providers and EMS activity by population. EMS data allowed us to powerfully identify specific socioeconomic determinants of health for a 7 million-inhabitant population at the district level. Results could be used to design and implement tailored public health interventions for maximum impact. The overuse of emergency services does not seem to stem solely from the decrease in the supply of primary care doctors. Innovatively, monitoring the actual use of emergency services could responsively inform policy makers and agencies responsible for prevention and health promotion about the specific needs of the population and the consequences of decisions on the organization of the provision of care. Key messages The use of emergency services is a valid metric to evaluate the health status of the population and identify socioeconomic determinants. It gives specific guidelines for public health interventions. Geospatial analyses can efficiently identify the specific needs of a population at the neighborhood level. It can participate to the evaluation of the organization of healthcare provision.

scholarly journals Socioeconomic determinants and inequalities in the prevalence of non-communicable diseases in Saudi Arabia

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Mohammed Khaled Al-Hanawi
Keyword(s):  
Logistic Regression ◽  
Saudi Arabia ◽  
National Level ◽  
Communicable Diseases ◽  
School Level ◽  
Gulf Region ◽  
Non Communicable Diseases ◽  
Socioeconomic Determinants ◽  
The Government ◽  
Concentration Indices

Abstract Background Non-communicable diseases (NCDs) are increasingly becoming a challenge worldwide, causing high mortality and morbidity. Saudi Arabia has one of the highest rates of NCDs globally and the highest in the Arabian Gulf region. Epidemiological data indicate that NCDs are responsible for 70 % of all deaths in Saudi Arabia. The aim of this study was to examine the socioeconomic determinants and inequalities in the prevalence of NCDs in Saudi Arabia. Methods Data from the Saudi Family Health Survey conducted in 2018 by the General Authority for Statistics were used for this study. Univariate, bivariate, and multivariate logistic regression analyses were employed to examine the socioeconomic factors associated with the prevalence of NCDs. Moreover, the concentration curve and concentration indices were used to assess inequalities in the prevalence of NCDs. Results Among the 11,527 respondents, the prevalence of NCDs was 32.15 %. The prevalence of NCDs was higher among women and among elderly respondents aged ≥ 60 years. With respect to the determinants of the prevalence of NCDs, the logistic regression results showed that the likelihood of reporting NCDs was lower among people with a higher education (OR: 0.599, 95 % CI: 0.497–0.723, p < 0.01) compared with that of people with an education below the primary school level. Other factors significantly associated with the prevalence of NCDs were age, marital status, nationality, and region of residence. The inequality analysis showed that at the national level, the prevalence of NCDs was concentrated among less educated people (concentration index = − 0.338, p < 0.01), but with significant regional variations. Gender disaggregation showed that both income-based and education-based concentration indices were significantly negative among women, indicating that the prevalence of NCDs is concentrated among women with a lower income level and with less education. Conclusions The findings of this study are important for policymakers to combat both the increasing prevalence of and socio-economic inequalities in NCDs. The government should develop targeted intervention strategies to control NCDs and achieve health equality considering socio-economic status. Future policies should target women and the lower educated population in Saudi Arabia.

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