ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2020
To Text or Not to Text? That is the Question.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Delirium superimposed on dementia in post-acute care: Nurse documentation of symptoms and interventions.Geriatric nursing (New York, N.Y.)Trial
- Characterizing nursing home care team communication via text messaging: A social network analysis.International journal of medical informatics · 2026Article
- Combining Token Classification With Large Language Model Revision for Age-Friendly 4M Entity Recognition From Nursing Home Text Messages: Development and Evaluation Study.medRxiv : the preprint server for health sciences · 2026Article
- Examining the Use of Text Messages Among Multidisciplinary Care Teams to Reduce Avoidable Hospitalization of Nursing Home Residents with Dementia: Protocol for a Secondary Analysis.JMIR research protocols · 2023Article
- Financial and Work-flow Benefits of Reducing Avoidable Hospitalizations of Nursing Home Residents.The journal of nutrition, health & aging · 2021Article
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Texting is ubiquitous with a text frequency of 145 billion/day worldwide. This paper provides partial results of the national demonstration project called the Missouri Quality Improvement Initiative (MOQI). MOQI goals were to reduce avoidable hospitalizations using APRNs to infuse evidence-based practices, model appropriate decisions and improve communication among workers responsible for nursing home resident care. This is a retrospective content analysis of text messages sent and received via a secure, password protected, encrypted mobile text message platform called Mediprocity. Text messages were created by 15 APRNs and a PhD-RN project supervisor working in 16 nursing homes over 6 months (January 1-June 30 2018). During the 6 months of data collection 8,946 text messages were captured, coded and analyzed. Data included 1,018 sent messages and 7,928 received messages. The most common messages sent (n=324) and received (n=2319) were about patient updates. The second most common texts included messages confirming information (n=1312).
Indexed as
Identifiers
33936390PMC8075479What 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.