ArticleHealth services research2014
Leveraging electronic health records to develop measurements for processes of care.
Article in Health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Exploring "patient-centered" hospitals: a systematic review to understand change.BMC health services research · 2017Pooled it
- Primary Care Providers' Opening of Time-Sensitive Alerts Sent to Commercial Electronic Health Record InBaskets.Journal of general internal medicine · 2017Trial
- Identifying important and feasible primary care structures and processes in the US healthcare system: a modified Delphi study.BMJ open · 2024Article
- Medicaid's Impact on Chronic Disease Biomarkers: A Cohort Study of Community Health Center Patients.Journal of general internal medicine · 2017Article
- Features of Patient-Centered Primary Care and the Use of Ambulatory Care.Population health management · 2017Article
- Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine.Health affairs (Project Hope) · 2017Article
- Using Electronic Health Record Data to Measure Care Quality for Individuals with Multiple Chronic Medical Conditions.Journal of the American Geriatrics Society · 2016Article
- Trust and Reflection in Primary Care Practice Redesign.Health services research · 2016Article
- Measuring Comprehensiveness of Primary Care: Challenges and Opportunities.Journal of general internal medicine · 2015Review
- Statewide Hospital Discharge Data: Collection, Use, Limitations, and Improvements.Health services research · 2015Article
- Visualizing collaborative electronic health record usage for hospitalized patients with heart failure.Journal of the American Medical Informatics Association : JAMIA · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesTo assess the reliability of data in electronic health records (EHRs) for measuring processes of care among primary care physicians (PCPs) and examine the relationship between these measures and clinical outcomes. DATA SOURCES/STUDY
settingEHR data from 15,370 patients with diabetes, 49,561 with hypertension, in a group practice serving four Northern California counties. STUDY DESIGN/
methodsExploratory factor analysis (EFA) and multilevel analyses of the relationships between processes of care variables and factor scales with control of hemoglobin A1c, blood pressure (BP), and low density lipoprotein (LDL) among patients with diabetes and BP among patients with hypertension. PRINCIPAL
findingsVolume of e-messages, number of days to the third-next-available appointment, and team communication emerged as reliable factors of PCP processes of care in EFA (Cronbach's alpha=0.73, 0.62, and 0.91). Volume of e-messages was associated with higher odds of LDL control (≤100) (OR=1.13, p<.05) among patients with diabetes. Frequent in-person visits were associated with better BP (OR=1.02, p<.01) and LDL control (OR=1.01, p<.01) among patients with diabetes, and better BP control (OR=1.04, p<.01) among patients with hypertension.
conclusionsThe EHR offers process of care measures which can augment patient-reported measures of patient-centeredness. Two of them are significantly associated with clinical outcomes. Future research should examine their association with additional outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.