Using hospitalization for ambulatory care sensitive conditions to measure access to primary health care: An application of spatial structural equation modeling

International Journal of Health Geographics

Volumn 8, Issue 1, 2009, Pages 51-

  Hossain, Md Monir ^a   Laditka, James N ^b  

^a UNIVERSITY OF TEXAS   (United States)

^b UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESSIBILITY; BAYESIAN ANALYSIS; CLUSTER ANALYSIS; CORRELATION; DETECTION METHOD; DISEASE PREVALENCE; FACTOR ANALYSIS; HEALTH CARE; HEALTH POLICY; HEALTH SERVICES; HOSPITAL SECTOR; LIFESTYLE; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; POLICY APPROACH; PRIMARY HEALTH CARE; PROBABILITY; SOCIOECONOMIC STATUS; SPATIAL ANALYSIS; SPATIAL DISTRIBUTION;

NORTH AMERICA; SOUTH CAROLINA; UNITED STATES;

ADULT; AMBULATORY CARE; ARTICLE; BAYES THEOREM; CLINICAL PRACTICE; EMERGENCY HEALTH SERVICE; GEOGRAPHIC INFORMATION SYSTEM; HEALTH CARE DELIVERY; HOSPITALIZATION; HUMAN; MULTIVARIATE ANALYSIS; PRIMARY HEALTH CARE; STATISTICAL MODEL; STATISTICS; UNITED STATES;

ADULT; AMBULATORY CARE; BAYES THEOREM; EMERGENCY MEDICAL SERVICES; GEOGRAPHIC INFORMATION SYSTEMS; HEALTH SERVICES ACCESSIBILITY; HOSPITALIZATION; HUMANS; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; PHYSICIAN'S PRACTICE PATTERNS; PRIMARY HEALTH CARE; SOUTH CAROLINA;

EID: 70350709726     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-8-51     Document Type: Article

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