A COMPUTERIZED HEALTH SCREENING AND FOLLOW-UP SYSTEM IN DIABETES-MELLITUS

被引：5

作者：

AZZOPARDI, J

FENECH, FF

JUNOUSSOV, Z

MAZOVETSKY, A

OLCHANSKI, V

机构：

[1] University of Malta, St Luke's Hospital

[2] National Endocrinology Research Centre, Moscow

[3] Institute for Problems of Information Transmission, Moscow

[4] Public Health Research Institute, Ministry of Health, Moscow

[5] Virginia Commonwealth University, Medical College of Virginia, Richmond

来源：

DIABETIC MEDICINE | 1995年 / 12卷 / 03期

关键词：

COMPUTERIZED APPLICATION; TARGETING; SCREENING PROGRAM; NONCOMMUNICABLE DISEASES;

D O I：

10.1111/j.1464-5491.1995.tb00471.x

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

A computerized population health problem targeting program for diabetes mellitus and other common non-communicable disease was tested at St Luke's Hospital, Malta. The program utilizes a patient questionnaire by dialogue with a computer lasting about 20 min. The system evaluates and targets health problems that are followed up through the database. During a period of 10 months, two groups of people were screened using the system, consisting of 128 recently diagnosed diabetic patients presenting consecutively and 320 people from the general population. The age distributions of the two groups were similar. The system indicated 27 % of the control group as being within the Diabetes Risk Croup; 5% of this control group were confirmed to have diabetes. Eighty-two percent of newly referred diabetic patients were detected, giving false positive results in 23 % and a false negative result in 18 % of cases. The classification rules in the system were tuned to the population of Moscow, Russia. We have since adjusted these to better suit the Maltese population. The adjusted rules now indicate 20 % of the general population as being within the risk group and have correctly detected 84 % of the diabetic people, giving a false positive result in 15 % and a false negative result in 16 % of cases.

引用

页码：271 / 276

页数：6

共 18 条

[1]

Petrovski A., Olchanski V., Manoukain L., Computer‐aided Health Surveillance System—ASKIS, MEDINFO‐86, (1986)

[2]

Mazovetskii AG, Olchanski V., Petrovski A., Integrated Primary Health Care in the USSR: an Innovative Approach, Bull Int Diabetes Fed, 31, pp. 106-108, (1986)

[3]

Petrovski A., Olchanski V., Manoukian L., Mazovetskii AG, Timonin V., Azzopardi J., 3, pp. 53-56, (1988)

[4]

Diabetes Mellitus, pp. 15-17, (1985)

[5]

Suntsov I., Mazovetskii AG, Olchanski V., Kudriakov SV, Zavadski PS., Anketnyl metod v massovykh obsiedovani‐yakh naseleniya na nalicchie sakharnogo diabeta. (Using a questionnaire in diabetes mellitus surveillance in a population.), Problemy Endokrinologii, 33, pp. 6-9, (1987)

[6]

Zhunusov ZM., (1990)

[7]

Zhunisov ZM, Mazovetskii AG, Olchanski V., Petrovskii AM, Suntsov I., Chervonenkis AL., Ispolzovanie logicheskikh reshayuschikh pravil diya formirovaniya grupp povy‐shennogo riska v massovykh obsledovaniyakh na nalichie sakharnogo diabeta. (Using logical decision rules for targeting diabetes mellitus risk groups.), Problemy Endokrinologii, 37, pp. 10-12, (1991)

[8]

Anderson TW, Bahadur RR., Classification into two Multivariate normal distributions with different covariance matrices, The Annals of Mathematical Statistics, 33, pp. 420-431, (1962)

[9]

Vapnik V., Tsecherwonenkis A., Theorie de Zeichenert‐enung, (1979)

[10]

Finch CF, Zimmet PZ, Alberti KGGM., Determining diabetes prevalence: a rational basis for the use of fasting plasma glucose concentrations?, Diabetic Med, 7, pp. 603-610, (1990)

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