Regression-based prediction of seeking diabetes-related emergency medical assistance by regular clinic patients

被引:0
作者
Wasantha P. Jayawardene
Dayani C. Nilwala
Godfred O. Antwi
David K. Lohrmann
Mohammad R. Torabi
Stephanie L. Dickinson
机构
[1] Indiana University,Applied Health Science, School of Public Health Bloomington
[2] Base Hospital Homagama,Pathology Department
[3] Indiana University,Epidemiology and Biostatistics, School of Public Health Bloomington
来源
International Journal of Diabetes in Developing Countries | 2018年 / 38卷
关键词
Type-2 diabetes; Clinic patients; Logistic regression; Prediction; Diabetes-related emergency medical assistance;
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学科分类号
摘要
This study aims to examine diabetes-related emergency medical assistance (DREMA)-seeking factors among type-2 diabetes patients and predict likelihood of patients seeking DREMA before their next scheduled clinic visit. This case-control-designed study comprised a systematic random sampling of 228 patients who completed a structured interview (mean age = 62.6 years). DREMA prediction model was developed based on parameter estimates of a logistic regression model on DREMA (≥ 1 admission vs. 0 admissions), with variable selection from a forward stepwise selection process, considering all 24 potential independent variables. For the final DREMA prediction model, four variables were retained via forward stepwise logistic regression analysis: (1) age, (2) type of rice consumed, (3) physical activity outside of a regular job, and (4) leisure time exercise frequency. Likelihood of seeking DREMA increased with aging, regular or frequent consumption of white rice rather than brown or parboiled rice, and being physically inactive outside of occupation. Odds of seeking DREMA were directly associated with frequency of exercise during leisure time. With further validation and model updating based on local population characteristics, clinicians will be able to predict the DREMA-event likelihood for each clinic patient diagnosed with type-2 diabetes. Modifiable DREMA-seeking variables suggest possible interventions for preventing undesired DREMA events.
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页码:209 / 215
页数:6
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