Using Spatial Analysis to Predict Health Care Use at the Local Level: A Case Study of Type 2 Diabetes Medication Use and Its Association with Demographic Change and Socioeconomic Status

PLoS ONE

Volumn 8, Issue 8, 2013, Pages

  Dijkstra, Aletta ^a   Janssen, Fanny ^a   De Bakker, Marinus ^a   Bos, Jens ^a   Lub, René ^a   Van Wissen, Leo J G ^a,b   Hak, Eelko ^a  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b NETHERLANDS INTERDISCIPLINARY DEMOGRAPHIC INSTITUTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIDIABETIC AGENT;

ACCURACY; ADULT; AGING; ARTICLE; CLUSTER ANALYSIS; CONTROLLED STUDY; CORRELATION ANALYSIS; DATA BASE; DEMOGRAPHY; DRUG USE; FEMALE; GEOGRAPHICALLY WEIGHTED REGRESSION MODEL; HEALTH CARE UTILIZATION; HEALTH STATUS; HUMAN; INCOME; MAJOR CLINICAL STUDY; MALE; MULTIPLE LINEAR REGRESSION MODEL; NETHERLANDS; NON INSULIN DEPENDENT DIABETES MELLITUS; PENSIONER; PHARMACY; PREDICTION; PRESCRIPTION; PREVALENCE; REGRESSION ANALYSIS; SOCIAL STATUS; SOCIAL WELFARE; SPATIAL ANALYSIS;

DELIVERY OF HEALTH CARE; DEMOGRAPHY; DIABETES MELLITUS, TYPE 2; GEOGRAPHY; HUMANS; HYPOGLYCEMIC AGENTS; MIDDLE AGED; NETHERLANDS; PREVALENCE; REGRESSION ANALYSIS; SOCIAL CLASS; SPATIAL ANALYSIS;

EID: 84883355741     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0072730     Document Type: Article

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