Categories
Nevin Manimala Statistics

Localisation of an assessment tool for disease registry software

Health Inf Manag. 2025 Sep 10:18333583251362536. doi: 10.1177/18333583251362536. Online ahead of print.

ABSTRACT

BACKGROUND: The success of disease registry systems (DRSs) depends on developing software that aligns with the registry’s specific needs.

OBJECTIVE: This study focuses on localising the Checklist with Items for Patient Registry sOftware Systems (CIPROS) to facilitate the DRS assessment.

METHOD: This applied and cross-sectional study was carried out in 2023 in six phases. The first phase involved translating the CIPROS checklist. In the second phase, experts validated the face validity of the checklist. The third phase focused on calculating the content validity ratio (CVR) and content validity index (CVI) for each item. In the fourth phase, the items removed earlier were reassessed. In the fifth phase, definitions for each item were proposed. The sixth phase encompassed calculating the reliability of the localised checklist. For the data analysis, descriptive statistics were computed using SPSS software.

RESULTS: The original checklist included 12 aspects and 72 items. After evaluating the CVR and CVI indicators, 40 items were validated. By reassessing the deleted items, the localised checklist was created, composed of 56 items categorised into 11 aspects.

CONCLUSION: The localised tool would support the authorities responsible for DRSs when making software purchasing decisions. Additionally, it would be advantageous for policymakers by helping them establish the criteria for DRS assessment.Implications for health information management practice:Localising the registry assessment tool will facilitate its use; providing descriptions of assessment tool items leads to a uniform understanding and ease of use of the tool.

PMID:40927886 | DOI:10.1177/18333583251362536

By Nevin Manimala

Portfolio Website for Nevin Manimala