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Concordance of Care Processes Between Medical Records and Patient Self-administered Questionnaires

Overview
Journal BMC Fam Pract
Publisher Biomed Central
Date 2019 Jul 5
PMID 31269902
Citations 2
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Abstract

Background: Despite the increasing use of medical records to measure quality of care, studies have shown that their validity is suboptimal. The objective of this study is to assess the concordance of cardiovascular care processes evaluated through medical record review and patient self-administered questionnaires (SAQs) using ten quality indicators (TRANSIT indicators). These indicators were developed as part of a participatory research program (TRANSIT study) dedicated to TRANSforming InTerprofessional clinical practices to improve cardiovascular disease (CVD) prevention in primary care.

Methods: For every patient participating in the TRANSIT study, the compliance to each indicator (individual scores) as well as the mean compliance to all indicators of a category (subscale scores) and to the complete set of ten indicators (overall scale score) were established. Concordance between results obtained using medical records and patient SAQs was assessed by prevalence-adjusted bias-adjusted kappa (PABAK) coefficients as well as intraclass correlation coefficients (ICCs) and 95% confidence intervals (95% CI). Generalized linear mixed models (GLMM) were used to identify patients' sociodemographic and clinical characteristics associated with agreement between the two data sources.

Results: The TRANSIT study was conducted in a primary care setting among patients (n = 759) with multimorbidity, at moderate (16%) and high risk (83%) of cardiovascular diseases. Quality of care, as measured by the TRANSIT indicators, varied substantially between medical records and patient SAQ. Concordance between the two data sources, as measured by ICCs (95% CI), was poor for the subscale (0.18 [0.08-0.27] to 0.46 [0.40-0.52]) and overall (0.46 [0.40-0.53]) compliance scale scores. GLMM showed that agreement was not affected by patients' characteristics.

Conclusions: In quality improvement strategies, researchers must acknowledge that care processes may not be consistently recorded in medical records. They must also be aware that the evaluation of the quality of care may vary depending on the source of information, the clinician responsible of documenting the interventions, and the domain of care.

Citing Articles

Quality indicators for the primary prevention of cardiovascular disease in primary care: A systematic review.

Bam K, Olaiya M, Cadilhac D, Redfern J, Nelson M, Sanders L PLoS One. 2024; 19(12):e0312137.

PMID: 39637114 PMC: 11620663. DOI: 10.1371/journal.pone.0312137.


A Survey-based Estimate of COVID-19 Incidence and Outcomes among Patients with Pulmonary Arterial Hypertension or Chronic Thromboembolic Pulmonary Hypertension and Impact on the Process of Care.

Lee J, Burger C, Delossantos G, Grinnan D, Ralph D, Rayner S Ann Am Thorac Soc. 2020; 17(12):1576-1582.

PMID: 32726561 PMC: 7706604. DOI: 10.1513/AnnalsATS.202005-521OC.

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