Evidence map›Paper›PMID 27593570›Full record

Observational studyThe Journal of the Association of Nurses in AIDS Care : JANAC

Sociotechnical Analysis of Health Information Exchange Consent Processes in an HIV Clinic.

S Raquel Ramos, Peter Gordon, Suzanne Bakken, Rebecca Schnall

Abstract readObservational Study
In one paragraph

Observational study in The Journal of the Association of Nurses in AIDS Care : JANAC. 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. Trial
  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

4 authors.

S Raquel Ramos
Peter Gordon
Suzanne Bakken
Rebecca Schnall

Funding

Reducing Health Disparities Through Informatics - Genomics SupplementT32NR007969 · NINR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SUZANNE BAKKEN, Rebecca Schnall · 2002 to 2026
$7.9M
Research Training: Self and Family ManagementT32NR008346 · NINR · YALE UNIVERSITY · PI GREY, MARGARET · 2003 to 2018
$4.7M
Use of mHealth Technology for Supporting Symptom Management in Underserved Persons Living with HIVR21HS023963 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SCHNALL, REBECCA · 2015 to 2016
$298k
AHRQ HHS R21 HS023963NINR NIH HHS T32 NR007969NINR NIH HHS T32 NR008346
6 · The paper itself

Abstract

Federal regulations have encouraged the electronic sharing of protected health information (PHI). As an opt-in state, New York abides by an affirmative consent model where PHI is electronically shared only after written consent is obtained. The purpose of our study was to describe sociotechnical factors that influence health information exchange (HIE) consent for persons living with HIV (PLWH) at one clinic in New York City. We employed mixed methods to gather perceptions of facilitators and barriers to HIE consent. Study participants included PLWH, staff, and clinicians. The mixed-methods approach revealed multiple interruptions in clinical workflow, staff and providers' time constraints, and lack of dedicated personnel focused on HIE consent as the major barriers to HIE consent. Although there is no one strategy to resolve barriers to HIE consent, having a dedicated person was identified as the most salient factor for facilitating HIE consent.

Indexed as

Electronic Health RecordsHealth Information ExchangeInformed ConsentAccess to InformationAdultAttitude of Health PersonnelConfidentialityFemaleFocus GroupsHIV InfectionsHumansInterviews as TopicMaleMiddle AgedNew YorkNew York Cityhealth information exchangeinformed consentpersons living with HIVsociotechnical analysis

Identifiers

PMID27593570
PMCPMC5056831

What OpenQuestion holds

Textmetadata
LicenceTDM
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.