Effectiveness of an Electronic Health Record-based Intervention to Improve Follow-up of Abnormal Pathology Results
A Retrospective Record Analysis
Bibliographic Data
| ID | 9100220 |
|---|---|
| Authors | Archana Laxmisan (Michael E. DeBakey VA Medical Center, corresponding author), Dean F Sittig (0000-0001-5811-8915, Memorial Hermann), Kenneth Pietz (Baylor College of Medicine, corresponding author), Donna Espadas (Health Services Research & Development, corresponding author), Bhuvaneswari Krishnan (Baylor College of Medicine), Hardeep Singh (0000-0002-7429-5580, Health Services Research & Development, corresponding author) |
| Year | 2012 |
| Volume | 50 |
| Issue | 10 |
| Pages | 898-904 |
| Publication date | 2012-10-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/mlr.0b013e31825f6619 |
| PMID | 22929995 |
| PMCID | PMC3444625 |
| OpenAlex | W2035136345 |
| Language | EN |
| Citations received | 2 |
| References cited | 18 |
BACKGROUND AND OBJECTIVE: On March 11, 2009, the Veterans Health Administration (VA) implemented an electronic health record (EHR)-based intervention that required all pathology results to be transmitted to ordering providers by mandatory automated notifications. We examined the impact of this intervention on improving follow-up of abnormal outpatient pathology results. RESEARCH DESIGN AND SUBJECTS: We extracted pathology reports from the EHR of 2 VA sites. From 16,738 preintervention and 17,305 postintervention reports between 09/01/2008 and 09/30/2009, we randomly selected about 5% and evaluated follow-up outcomes using a standardized chart review instrument. Documented responses to the alerted report (eg, ordering follow-up tests or referrals, notifying patients, and prescribing/changing treatment) were recorded. MEASURES: Primary outcome measures included proportion of timely follow-up responses (within 30 d) and median time to direct response for abnormal reports. RESULTS: Of 816 preintervention and 798 postintervention reports reviewed, 666 (81.6%) and 688 (86.2%) were abnormal. Overall, there was no apparent intervention effect on timely follow-up (69% vs. 67.1%; P=0.4) or median time to direct response (8 vs. 8 d; P=0.7). However, logistic regression uncovered a significant intervention effect (preintervention odds ratio, 0.7; 95% confidence interval, 0.5-1.0) after accounting for site-specific differences in follow-up, with a lower likelihood of timely follow-up at one site (odds ratio, 0.4; 95% confidence interval, 0.2-0.7). CONCLUSIONS: An electronic intervention to improve test result follow-up at 2 VA institutions using the same EHR was found effective only after accounting for certain local contextual factors. Aggregating the effect of EHR interventions across different institutions and EHRs without controlling for contextual factors might underestimate their potential benefits
Confidence interval · Electronic health record · Health care · Health records · Intervention (counseling) · Logistic regression · Medical record · Odds · Odds ratio · Physical therapy · Psychiatry · Clinical Laboratory Practices and Quality Control · Electronic Health Records Systems · Emergency Medicine · Internal Medicine · Medical Coding and Health Information · Medicine
| Citations per year | 0.2 |
|---|---|
| Citation span | 2016 - 2019 (4) |
| Highly cited | No |