A keresoképtelenségre vonatkozó adatok BNO alapú gyujtése Vas megyében

Translated title of the contribution: ICD based data collection of sick-pay data in County Vas

I. Boncz, Flamis László, Gyorvári Sándor

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

INTRODUCTION - The analysis and evaluation of sick-pay data presents great challenge for a health insurance fund. It is very important to collect sick-pay data related to the medical diagnosis of the patients. DATA AND METHODS - The aim of the study is the analysis of sick-pay data in County Vas, Hungary. The new approach focuses on the ICD (International Classification of Diseases) based sick-pay reports which contains the cause of sicknesses according to ICD terms. The data was derived from 1998. RESULTS - During the period involved there were no significant change in the number of ICD codes used by the doctors. The cases shorter than 30 days account for 84,43 % of total cases, while they account for the 41,05 % of total disability to workdays. The most common ICD group measured by the number of cases is group Nr. X. (Diseases of the respiratory system), while most common as measured by the days spent on sick-pay is group Nr. XIII. (Diseases of the musculoskeletal system and connective tissue). Significant differences were found between men and women. Analysing the diagnosis within the main groups - ranked by the number of cases - the diseases of respiratory system and of the musculo-skeletal system are found in leading positions. Based on the number of sick-pay days the diseases of musculo-skeletal system are on the first place. CONCLUSIONS - Results of this analysis can provide valuable information for both the National Health Insurance Fund and the physicians and have contributed to the implementation of the national "Disability to work Monitoring System".

Original languageHungarian
Pages (from-to)315-320
Number of pages6
JournalLege Artis Medicinae
Volume12
Issue number5
Publication statusPublished - 2002

Fingerprint

International Classification of Diseases
Respiratory System
Musculoskeletal System
Sick Leave
Hungary
National Health Programs
Financial Management
Health Insurance
Connective Tissue
Physicians

ASJC Scopus subject areas

  • Medicine(all)

Cite this

A keresoképtelenségre vonatkozó adatok BNO alapú gyujtése Vas megyében. / Boncz, I.; László, Flamis; Sándor, Gyorvári.

In: Lege Artis Medicinae, Vol. 12, No. 5, 2002, p. 315-320.

Research output: Contribution to journalArticle

Boncz, I. ; László, Flamis ; Sándor, Gyorvári. / A keresoképtelenségre vonatkozó adatok BNO alapú gyujtése Vas megyében. In: Lege Artis Medicinae. 2002 ; Vol. 12, No. 5. pp. 315-320.
@article{caed977d5bea46c48d0ce2f0d6ef49cd,
title = "A keresok{\'e}ptelens{\'e}gre vonatkoz{\'o} adatok BNO alap{\'u} gyujt{\'e}se Vas megy{\'e}ben",
abstract = "INTRODUCTION - The analysis and evaluation of sick-pay data presents great challenge for a health insurance fund. It is very important to collect sick-pay data related to the medical diagnosis of the patients. DATA AND METHODS - The aim of the study is the analysis of sick-pay data in County Vas, Hungary. The new approach focuses on the ICD (International Classification of Diseases) based sick-pay reports which contains the cause of sicknesses according to ICD terms. The data was derived from 1998. RESULTS - During the period involved there were no significant change in the number of ICD codes used by the doctors. The cases shorter than 30 days account for 84,43 {\%} of total cases, while they account for the 41,05 {\%} of total disability to workdays. The most common ICD group measured by the number of cases is group Nr. X. (Diseases of the respiratory system), while most common as measured by the days spent on sick-pay is group Nr. XIII. (Diseases of the musculoskeletal system and connective tissue). Significant differences were found between men and women. Analysing the diagnosis within the main groups - ranked by the number of cases - the diseases of respiratory system and of the musculo-skeletal system are found in leading positions. Based on the number of sick-pay days the diseases of musculo-skeletal system are on the first place. CONCLUSIONS - Results of this analysis can provide valuable information for both the National Health Insurance Fund and the physicians and have contributed to the implementation of the national {"}Disability to work Monitoring System{"}.",
keywords = "County Vas, Disability to work, Health insurance, ICD, Sick-pay",
author = "I. Boncz and Flamis L{\'a}szl{\'o} and Gyorv{\'a}ri S{\'a}ndor",
year = "2002",
language = "Hungarian",
volume = "12",
pages = "315--320",
journal = "Lege Artis Medicinae",
issn = "0866-4811",
publisher = "Literatura Medica Publishing House",
number = "5",

}

TY - JOUR

T1 - A keresoképtelenségre vonatkozó adatok BNO alapú gyujtése Vas megyében

AU - Boncz, I.

AU - László, Flamis

AU - Sándor, Gyorvári

PY - 2002

Y1 - 2002

N2 - INTRODUCTION - The analysis and evaluation of sick-pay data presents great challenge for a health insurance fund. It is very important to collect sick-pay data related to the medical diagnosis of the patients. DATA AND METHODS - The aim of the study is the analysis of sick-pay data in County Vas, Hungary. The new approach focuses on the ICD (International Classification of Diseases) based sick-pay reports which contains the cause of sicknesses according to ICD terms. The data was derived from 1998. RESULTS - During the period involved there were no significant change in the number of ICD codes used by the doctors. The cases shorter than 30 days account for 84,43 % of total cases, while they account for the 41,05 % of total disability to workdays. The most common ICD group measured by the number of cases is group Nr. X. (Diseases of the respiratory system), while most common as measured by the days spent on sick-pay is group Nr. XIII. (Diseases of the musculoskeletal system and connective tissue). Significant differences were found between men and women. Analysing the diagnosis within the main groups - ranked by the number of cases - the diseases of respiratory system and of the musculo-skeletal system are found in leading positions. Based on the number of sick-pay days the diseases of musculo-skeletal system are on the first place. CONCLUSIONS - Results of this analysis can provide valuable information for both the National Health Insurance Fund and the physicians and have contributed to the implementation of the national "Disability to work Monitoring System".

AB - INTRODUCTION - The analysis and evaluation of sick-pay data presents great challenge for a health insurance fund. It is very important to collect sick-pay data related to the medical diagnosis of the patients. DATA AND METHODS - The aim of the study is the analysis of sick-pay data in County Vas, Hungary. The new approach focuses on the ICD (International Classification of Diseases) based sick-pay reports which contains the cause of sicknesses according to ICD terms. The data was derived from 1998. RESULTS - During the period involved there were no significant change in the number of ICD codes used by the doctors. The cases shorter than 30 days account for 84,43 % of total cases, while they account for the 41,05 % of total disability to workdays. The most common ICD group measured by the number of cases is group Nr. X. (Diseases of the respiratory system), while most common as measured by the days spent on sick-pay is group Nr. XIII. (Diseases of the musculoskeletal system and connective tissue). Significant differences were found between men and women. Analysing the diagnosis within the main groups - ranked by the number of cases - the diseases of respiratory system and of the musculo-skeletal system are found in leading positions. Based on the number of sick-pay days the diseases of musculo-skeletal system are on the first place. CONCLUSIONS - Results of this analysis can provide valuable information for both the National Health Insurance Fund and the physicians and have contributed to the implementation of the national "Disability to work Monitoring System".

KW - County Vas

KW - Disability to work

KW - Health insurance

KW - ICD

KW - Sick-pay

UR - http://www.scopus.com/inward/record.url?scp=0036314630&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0036314630&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0036314630

VL - 12

SP - 315

EP - 320

JO - Lege Artis Medicinae

JF - Lege Artis Medicinae

SN - 0866-4811

IS - 5

ER -