Kirk S A, Campbell S M, Kennell-Webb S, Reeves D, Roland M O, Marshall M N
National Primary Care Research and Development Centre, University of Manchester, Manchester M13 9PL, UK.
Qual Saf Health Care. 2003 Dec;12(6):421-7. doi: 10.1136/qhc.12.6.421.
To investigate practical and methodological problems in assessing the quality of care of multiple conditions in general practice.
Sixteen general practices from two socioeconomically diverse regions in the UK.
Quality of care was assessed in 100 randomly selected patient records in each practice using an established set of quality indicators covering 23 conditions commonly seen in primary care. Inter-rater reliability assessment was carried out for five of the conditions.
Conducting simultaneous quality assessment across multiple conditions is highly resource intensive. Poor data quality and the low prevalence of some items of care defined by the indicators are significant problems. Scores for individual indicators require very large samples for reliable assessment. Quality scores are more reliable when reported at a higher unit of analysis. This is particularly true for indicators and conditions with low prevalence where data may need to be aggregated to the level of groups of conditions or organisational providers. There is no single ideal way of aggregating quality scores.
The study identified some of the practical and methodological difficulties in assessing quality of care across multiple conditions. For improved quality assessment, advances in information technology and improvements in data quality are required for more efficient and reliable data extraction from medical records, together with the development of methods for combining scores across indicators, conditions, and practices. However, electronic data extraction methods will still be based on the assumption that the care recorded reflects the care provided.
探讨在评估全科医疗中多种疾病护理质量时的实际问题和方法学问题。
来自英国两个社会经济状况不同地区的16家全科诊所。
在每家诊所随机抽取100份患者病历,使用一套既定的质量指标对护理质量进行评估,该指标涵盖了初级保健中常见的23种疾病。对其中5种疾病进行了评分者间信度评估。
对多种疾病同时进行质量评估资源消耗极大。数据质量差以及指标所定义的某些护理项目患病率低是重大问题。单个指标的评分需要非常大的样本量才能进行可靠评估。在较高分析单位进行报告时,质量评分更可靠。对于患病率低的指标和疾病尤其如此,此时可能需要将数据汇总到疾病组或机构提供者层面。不存在单一理想的质量评分汇总方法。
该研究确定了在评估多种疾病护理质量时的一些实际和方法学困难。为了改进质量评估,需要信息技术的进步和数据质量的提高,以便更高效、可靠地从医疗记录中提取数据,同时需要开发跨指标、疾病和诊所合并评分的方法。然而,电子数据提取方法仍将基于所记录的护理反映所提供护理这一假设。