Department of Information Science and Media studies, University of Bergen, Bergen, Norway.
Institute of Biomedical Informatics, Moi University, Eldoret, Kenya.
PLoS One. 2021 Jan 11;16(1):e0244917. doi: 10.1371/journal.pone.0244917. eCollection 2021.
Electronic Health Record Systems (EHRs) are being rolled out nationally in many low- and middle-income countries (LMICs) yet assessing actual system usage remains a challenge. We employed a nominal group technique (NGT) process to systematically develop high-quality indicators for evaluating actual usage of EHRs in LMICs.
An initial set of 14 candidate indicators were developed by the study team adapting the Human Immunodeficiency Virus (HIV) Monitoring, Evaluation, and Reporting indicators format. A multidisciplinary team of 10 experts was convened in a two-day NGT workshop in Kenya to systematically evaluate, rate (using Specific, Measurable, Achievable, Relevant, and Time-Bound (SMART) criteria), prioritize, refine, and identify new indicators. NGT steps included introduction to candidate indicators, silent indicator ranking, round-robin indicator rating, and silent generation of new indicators. 5-point Likert scale was used in rating the candidate indicators against the SMART components.
Candidate indicators were rated highly on SMART criteria (4.05/5). NGT participants settled on 15 final indicators, categorized as system use (4); data quality (3), system interoperability (3), and reporting (5). Data entry statistics, systems uptime, and EHRs variable concordance indicators were rated highest.
This study describes a systematic approach to develop and validate quality indicators for determining EHRs use and provides LMICs with a multidimensional tool for assessing success of EHRs implementations.
电子健康记录系统(EHRs)正在许多低收入和中等收入国家(LMICs)全面推广,但评估实际系统使用情况仍然是一个挑战。我们采用名义群体技术(NGT)流程,系统地开发了高质量的指标,用于评估 LMICs 中 EHR 的实际使用情况。
研究小组通过改编人类免疫缺陷病毒(HIV)监测、评估和报告指标格式,制定了一套 14 项候选指标。一个由 10 名专家组成的多学科团队在肯尼亚举行了为期两天的 NGT 研讨会,系统地评估、评级(使用具体、可衡量、可实现、相关和有时限(SMART)标准)、优先排序、细化和确定新的指标。NGT 步骤包括介绍候选指标、静默指标排名、循环指标评分和静默生成新指标。使用 5 点李克特量表对候选指标进行 SMART 成分评分。
候选指标在 SMART 标准上的评分很高(4.05/5)。NGT 参与者最终确定了 15 项最终指标,分为系统使用(4)、数据质量(3)、系统互操作性(3)和报告(5)。数据录入统计、系统正常运行时间和 EHR 变量一致性指标的评分最高。
本研究描述了一种开发和验证用于确定 EHR 使用情况的质量指标的系统方法,并为 LMICs 提供了一个多维工具,用于评估 EHR 实施的成功。