Exploring the differences in ICD and hospital morbidity data collection features across countries: an international survey

被引:31
作者
Varela, Lucia Otero [1 ,2 ]
Doktorchik, Chelsea [1 ]
Wiebe, Natalie [1 ]
Quan, Hude [1 ,2 ]
Eastwood, Catherine [1 ,2 ]
机构
[1] Univ Calgary, Cumming Sch Med, TRW 5th Floor,3280 Hosp Dr NW, Calgary, AB T2N 4N1, Canada
[2] Libin Cardiovasc Inst Alberta, HMRB Room 72,3310 Hosp Dr NW, Calgary, AB T2N 4N1, Canada
关键词
International classification of diseases; Surveys and questionnaires; Data collection features; Hospital morbidity database; International comparability; ADMINISTRATIVE DATA; QUALITY; DEFINITION; NUMBER; CODES; BIAS;
D O I
10.1186/s12913-021-06302-w
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background: The International Classification of Diseases (ICD) is the reference standard for reporting diseases and health conditions globally. Variations in ICD use and data collection across countries can hinder meaningful comparisons of morbidity data. Thus, we aimed to characterize ICD and hospital morbidity data collection features worldwide. Methods: An online questionnaire was created to poll the World Health Organization (WHO) member countries that were using ICD. The survey included questions focused on ICD meta-features and hospital data collection systems, and was distributed via SurveyMonkey using purposive and snowball sampling. Accordingly, senior representatives from organizations specialized in the topic, such as WHO Collaborating Centers, and other experts in ICD coding were invited to fill out the survey and forward the questionnaire to their peers. Answers were collated by country, analyzed, and presented in a narrative form with descriptive analysis. Results: Responses from 47 participants were collected, representing 26 different countries using ICD. Results indicated worldwide disparities in the ICD meta-features regarding the maximum allowable coding fields for diagnosis, the definition of main condition, and the mandatory type of data fields in the hospital morbidity database. Accordingly, the most frequently reported answers were "reason for admission" as main condition definition (n =14), having 31 or more diagnostic fields available (n =12), and "Diagnoses" (n =26) and "Patient demographics" (n =25) for mandatory data fields. Discrepancies in data collection systems occurred between but also within countries, thereby revealing a lack of standardization both at the international and national level. Additionally, some countries reported specific data collection features, including the use or misuse of ICD coding, the national standards for coding or lack thereof, and the electronic abstracting systems utilized in hospitals. Conclusions: Harmonizing ICD coding standards/guidelines should be a common goal to enhance international comparisons of health data. The current international status of ICD data collection highlights the need for the promotion of ICD and the adoption of the newest version, ICD-11. Furthermore, it will encourage further research on how to improve and standardize ICD coding.
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页数:9
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