Evidence map›Paper›PMID 29854126›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2017

Towards Analytics of the Patient and Family Perspective: A Case Study and Recommendations for Data Capture of Safety and Quality Concerns.

Brittany Couture, Maureen Fagan, Esteban Gershanik, Cathy Yoon, James Benneyan, David W Bates, Sarah A Collins

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Brittany CoutureDivision of General Internal Medicine and Primary Care, Brigham Health, Boston, MA.
Maureen FaganCenter for Patients and Families, Brigham Health, Boston, MA.
Esteban GershanikDivision of General Internal Medicine and Primary Care, Brigham Health, Boston, MA.
Cathy YoonDivision of General Internal Medicine and Primary Care, Brigham Health, Boston, MA.
James BenneyanHealthcare Systems Engineering Institute, Northeastern University, Boston, MA.
David W BatesDivision of General Internal Medicine and Primary Care, Brigham Health, Boston, MA.
Sarah A CollinsDivision of General Internal Medicine and Primary Care, Brigham Health, Boston, MA.

Funding

NIA NIH HHS L30 AG051270
6 · The paper itself

Abstract

Safety reporting systems are improving our current understanding of safety in hospital settings, although mostly from the clinician perspective. Patient Family Relations (PFR) programs provide the opportunity to capture patient/family concerns in the hospital. Descriptive statistics were completed of PFR concern submissions over a 20 month period, as well as a comparison of structured data fields to those of the AHRQ Common Format. We identified statistically significant differences in rates of concern submissions, methods of submission, and role of submitter across patient populations. Overall, the most frequent concerns submitted to PFR were care/treatment and communication concerns. There was very little overlap of the PFR data elements with those of the AHRQ Common Format (overall rate of mismatch approached 80%). These results emphasize both the unique information that PFR data provides, as well as the need for enhancement and continuity of reporting systems for more effective analysis of safety data.

Indexed as

Attitude to HealthHospital AdministrationPatient SafetySafety ManagementCommunicationData CollectionHumansProfessional-Family RelationsProfessional-Patient RelationsUnited StatesUnited States Agency for Healthcare Research and Quality

Identifiers

PMID29854126
PMCPMC5977637

What OpenQuestion holds

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Registered trials

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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.