primary care supply
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2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Megan A. Mullins ◽  
Julie P. W. Bynum ◽  
Suzanne E. Judd ◽  
Philippa J. Clarke

Abstract Background Despite a growing burden of Alzheimer’s Disease and related dementias (ADRD) in the US, the relationship between health care and cognitive impairment prevention is unclear. Primary care manages risk causing conditions and risk reducing behaviors for dementia, so we examine the association between individual and area-level access to primary care and cognitive impairment in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study. Methods REGARDS participants with a cognitive assessment and vascular measurements at their baseline visit were included in this cross-sectional analysis. Cognitive impairment was defined as a Six-Item Screener (SIS) score < 5. Primary care supply, primary care utilization and emergency department (ED) utilization were measured at the primary care service area (PCSA) level based on participant’s address. Individual access to care was self-reported. Models were adjusted for confounding by demographics, socioeconomic status and behavioral risk factors. Results Among 25,563 adults, living in a PCSA with low primary care supply was associated with 25% higher odds of cognitive impairment (OR 1.25 CI 1.07-1.45). Not having a regular source of medical care was associated with 14% higher odds of cognitive impairment (OR 1.14 CI 1.02-1.28), and living in a PCSA with high emergency department utilization was associated with 12% higher odds of cognitive impairment (OR 1.12 CI 1.02-1.23). Conclusions Our results are an important first step in understanding how health care may prevent cognitive impairment. They highlight the importance of primary care and suggest future work clarifying its role in preventing cognitive decline is imperative.


2020 ◽  
Author(s):  
Quan Zhang

Abstract Background There is still a lack of evidence focusing on primary care supply in developing countries where the educational achievement of primary care practitioners is relatively low. Objectives By using a nationally representative longitudinal and prospective cohort study, this study examined whether primary care supply, measured by the availability and the number of community health centres (CHCs), was associated with 4-year mortality risk among community-dwelling participants aged 45 and above in urban China. Methods Using the 2011 and 2015 waves of the China Health and Retirement Longitudinal Survey (CHARLS), we conducted a longitudinal mixed-level logistic analysis to study the impact of the availability and the number of CHC on 4-year follow-up mortality risk, after adjusting community- and individual-level covariates. Results Individuals living in communities with CHC were 31% less likely to die during the 4-year follow-up (P &lt; 0.05) conditional on community-level characteristics, including the basic facilities availability, population size and physical area, and individuals’ socio-demographic and health characteristics and health behaviours. Also, an increased number of community-level CHC was shown to decrease residents’ 4-year mortality risk significantly (odds ratio = 0.82, P &lt; 0.05). Furthermore, the association was more pronounced among adults aged 65 and above. Conclusion This study provides additional evidence of the health-promoting effect of primary care supply among urban residents in China. Improving primary care coverage in China should be necessary to improve health care access, thus promoting population health.


2017 ◽  
Vol 19 (4) ◽  
pp. 499-519 ◽  
Author(s):  
Laura Vallejo-Torres ◽  
Stephen Morris

Medical Care ◽  
2015 ◽  
Vol 53 (5) ◽  
pp. 436-445 ◽  
Author(s):  
Michael O. Falster ◽  
Louisa R. Jorm ◽  
Kirsty A. Douglas ◽  
Fiona M. Blyth ◽  
Robert F. Elliott ◽  
...  

2014 ◽  
Vol 29 (2) ◽  
pp. 351-358 ◽  
Author(s):  
Susanne Wurm ◽  
Julia K. Wolff ◽  
Benjamin Schüz

JAMA ◽  
2009 ◽  
Vol 301 (18) ◽  
pp. 1920 ◽  
Author(s):  
Gary L. Freed

BMJ ◽  
1993 ◽  
Vol 306 (6892) ◽  
pp. 1584-1586 ◽  
Author(s):  
H Bekker ◽  
M Modell ◽  
G Denniss ◽  
A Silver ◽  
C Mathew ◽  
...  

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