Evidence map›Paper›PMID 37128468›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2022

Experiences with Cyclical User-Centered Design for Patient and Clinician Facing Medication Reconciliation mHealth Applications.

Christina M Polomoff, Sean M Jeffery, Thomas Agresta, Syuleyman Bektashev, Ryan Tran, Willie Frazier, Steven Demurjian, Justin O'Dell, Siddharth Sinha, Nitu Kashyap

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Christina M PolomoffUniversity of Connecticut, Storrs, CT.
Sean M JefferyUniversity of Connecticut, Storrs, CT.
Thomas AgrestaUConn Health, Farmington, CT.
Syuleyman BektashevUniversity of Connecticut, Storrs, CT.
Ryan TranUConn Health, Farmington, CT.
Willie FrazierUConn Health, Farmington, CT.
Steven DemurjianUniversity of Connecticut, Storrs, CT.
Justin O'DellUniversity of Connecticut, Storrs, CT.
Siddharth SinhaUniversity of Connecticut, Storrs, CT.
Nitu KashyapYale New Haven Health, New Haven, CT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate medication lists are essential data required to make clinically informed decisions. Obtaining a comprehensive, up-to-date medication list is difficult for clinicians. Patients have limited input into reviewing and reconciling their own medication data. Ideally, a medication list would comprise a 360-degree view of all prescribed, dispensed, purchased medications and would seamlessly connect patients and providers to medication data from multiple sources. While an ideal medication list would capture every aspect of medication management, in reality a Best-Possible Medication History (BPMH) is a more achievable goal. In an effort to realize a BPMH and to facilitate the goals of the State of Connecticut's Office of Health Strategy's Medication Reconciliation and Polypharmacy Committee (MRPC), we engaged stakeholders (patients, clinicians, advocates) in focus-groups and interviews to solicit feedback on the user interface requirements for a BPMH. Feedback was obtained via facilitated discussions that occurred in-person, via virtual meetings, and through online surveys.

Indexed as

Medication ReconciliationTelemedicineHumansPatientsSurveys and QuestionnairesUser-Centered Design

Identifiers

PMID37128468
PMCPMC10148378

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.