ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Capture of osteoporosis and fracture information in an electronic medical record database from primary care.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Factors influencing the development of primary care data collection projects from electronic health records: a systematic review of the literature.BMC medical informatics and decision making · 2017Pooled it
- The influence of osteoporosis on mechanical complications in lumbar fusion surgery: a systematic review.North American Spine Society journal · 2024Review
- Frequency of and variation in low-value care in primary care: a retrospective cohort study.CMAJ openArticle
- BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans.Health informatics journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In a large database of EMR records, we explore: 1) completeness in capture of bone mineral density (BMD) T-scores required for diagnosis of osteoporosis; 2) concordance of BMD exam information with other osteoporosis information; and 3) evidence of osteoporosis screening among fracture patients. To explore completeness of exam capture, BMD exams in the EMR were related to a provincial billing database. To explore concordance of information and screening rates, 7500 EMR records were reviewed for osteoporosis and fracture details. Results show that 98% of exams billed to the province for EMR patients were found in the EMR. However, documented osteoporosis was substantiated with BMD results only 55.8% of the time. Of 151 charts for fragility fracture patients, 1 in 4 contained no evidence of osteoporosis investigation. In summary, while EMR information about osteoporosis is of variable quality, EMR records shed light on osteoporosis management indicators and completely capture BMD results.
Indexed as
Identifiers
25954325PMC4419931W2412279003What 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.