Idb-data-sets


National IDB File Information (Minimum Data Set)



Yüklə 2,76 Mb.
səhifə47/83
tarix04.01.2022
ölçüsü2,76 Mb.
#58506
1   ...   43   44   45   46   47   48   49   50   ...   83
National IDB File Information (Minimum Data Set)

1

Country

Lithuania

2

Year

2013

3

National Register Name

Compulsory Health Insurance Fund information system (CHIF IS).

4

Purpose of the register

CHIF IS managed by the State Patient Fund. CHIF IS covers data on hospital discharges, out-patient visits, and primary health care visits. The main focus is taken on the accounting, administration and promotion of the services paid from the CHIF budget.

5

Scope of the register

CHIF IS covers all injuries and other diseases according ICD-10 (2001 01 01-2011 03 31)/ ICD-10-AM (2011 04 01 - present), all age groups, 99% of hospital discharges, about 90% of outpatient visits, 100% of primary health care visits.

From CHIF IS data selection according MDS is available since the 1st of June 2011 these data covers only hospital discharges. Since 2013 data according MDS from emergency departments in hospitals (ED) is partly available as well (not all ED started coding injuries and external cause since 2013 01 01).



6

Data file name (MDS)

JAMIE_MDS_2013_LT.txt

7

Date of creation of MDS file

2014 05 26

8

Range of data of attendance

2013 01 01 - 2013 12 31

9

Original coding dictionary

ICD-10-AM (Australian modification), 1st of July 2008. Prepared conversation tables ICD-10-AM -> IDB MDS.

10

Dictionary modifications

Prepared conversation tables ICD-10-AM -> IDB MDS.

11

Bridge coding applied

ICD-10-AM -> IDB MDS

12

No. of records in the data file

246582

13

No. of MDS reference hospitals

103

14

Geographic scope

99% of the entire reporting country

15

Hospital characteristics used for a representative sample of hospitals

All hospitals, which has contract with the State Patient Fund and entering data into CHIF IS; all registered injuries in acute care beds (rehabilitation and nursing cases excluded) and in emergency departments in hospitals.

16

Sampling of cases within hospitals

99%

17

Percentage of admissions in data file

14.3%

In 2013 all ED started register injuries since 2013 07 01 and during this period 129487 cases were registered. Therefore we take period 2013 07 01 – 2013 12 31 for admission calculation: 21690 cases were registered.

Percentage of admissions in 2013: (21690/(21690+129487))*100=14.3%.


18

Relative sample size (admissions)

99.9%


19

Relative sample size (ambulatory treatments)

78.3%

In 2013 all ED started register injuries and their external causes since 2013 07 01 and during this period 129487 cases were registered (during all year cases from ED should be about 29487*2=258974 cases of injuries) but quite big part of ED started register injuries since 2013 01 01 and during all year of 2013 – 202840 cases were registered.

Coverage of out-patients in ED of all year is about (202840/258974)*100=78.32%.


20

Minimum Quality Control Checks

y

21

Average percentage of “unknown””

15.6%

For average calculation have been taken all elements from data file JAMIE_MDS_2013_LT.txt (except: provider (hospital) code, permanent country of residence, nature of injury 2, part of the body injured 2, narrative)



22

Method for extrapolation from sample to national incidence


Sampling has not been done. Selected all hospital discharges from CHIF IS which covers 99% of all hospitals discharges (99.9% of acute injuries).

Selected all ED from CHIF IS, but in 2013 not all ED started coding injuries since 2013 01 01, data coverage is about 78.3%.



23

Reference population data provided

Y

Is it correct to use population statistics by 1 January of each year for reference population data file? Because for calculation of rates we mostly use average population statistics and in case we do not have this statistics we use population statistics at the end of year (this is equal to population statistics by 1 January of next year).



24

(Eventual) additional comments (for the user):




25

Responsible data administrator (organization)

Institute of hygiene, http://www.hi.lt/en/

26

Contact: Responsible person

Neringa Madeikyte,

Health Statistics Department

Health Information Centre ofInstitute of Hygiene,

Didzioji str. 22, Vilnius, LT-01128, Lithuania,

TEL. (+370) 577 33 03,

neringa.madeikyte@hi.lt.


27

Signature




28

Date of completion of this file

2014 05 28





Yüklə 2,76 Mb.

Dostları ilə paylaş:
1   ...   43   44   45   46   47   48   49   50   ...   83




Verilənlər bazası müəlliflik hüququ ilə müdafiə olunur ©muhaz.org 2024
rəhbərliyinə müraciət

gir | qeydiyyatdan keç
    Ana səhifə


yükləyin