Evidence map›Paper›PMID 27094928›Full record

ArticleBMC medical informatics and decision making2016

Perceptions of clinicians and staff about the use of digital technology in primary care: qualitative interviews prior to implementation of a computer-facilitated 5As intervention.

Anna María Nápoles, Nicole Appelle, Sara Kalkhoran, Maya Vijayaraghavan, Nicholas Alvarado, Jason Satterfield

Abstract read
In one paragraph

Article in BMC medical informatics and decision making, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

6 authors.

Anna María NápolesDivision of General Internal Medicine, Department of Medicine, University of California San Francisco (UCSF), Box 0856, 3333 California Street, Suite 335, San Francisco, CA, 94118, USA. anapoles@ucsf.edu.
Nicole AppelleDivision of General Internal Medicine, Department of Medicine, UCSF, Box 0320, 1545 Divisadero St., San Francisco, CA, 94115, USA.
Sara KalkhoranDivision of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, 50 Staniford St, 9th Floor, Boston, MA, 02114, USA.
Maya VijayaraghavanUCSF, Box 1364, 1001 Potrero Ave., San Francisco General Hospital 90, Room 1311E, San Francisco, USA.
Nicholas AlvaradoDivision of General Internal Medicine, Department of Medicine, UCSF, Box 0320, 2200 Post St., MZ Bldg C Room C126B, San Francisco, CA, 94115, USA.
Jason SatterfieldDivision of General Internal Medicine, Department of Medicine, UCSF, Box 1731, 1701 Divisadero St., Room 500, San Francisco, CA, 94115, USA.

Funding

RESOURCE CENTER FOR AGING RESEARCH IN DIVERSE POPULATIONP30AG015272 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Torsten Brian Neilands · 1997 to 2026
$19.5M
Computer-Facilitated 5A's for Smoking Cessation in Primary CareR01DA034253 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SATTERFIELD, JASON M · 2012 to 2016
$2.9M
NIA NIH HHS P30 AG015272NIA NIH HHS P30 AG15272NIDA NIH HHS R01 DA034253NIDA NIH HHS R01DA034253
6 · The paper itself

Abstract

backgroundDigital health interventions using hybrid delivery models may offer efficient alternatives to traditional behavioral counseling by addressing obstacles of time, resources, and knowledge. Using a computer-facilitated 5As (ask, advise, assess, assist, arrange) model as an example (CF5As), we aimed to identify factors from the perspectives of primary care providers and clinical staff that were likely to influence introduction of digital technology and a CF5As smoking cessation counseling intervention. In the CF5As model, patients self-administer a tablet intervention that provides 5As smoking cessation counseling, produces patient and provider handouts recommending next steps, and is followed by a patient-provider encounter to reinforce key cessation messages, provide assistance, and arrange follow-up.

methodsSemi-structured in-person interviews of administrative and clinical staff and primary care providers from three primary care clinics.

resultsThirty-five interviews were completed (12 administrative staff, ten clinical staff, and 13 primary care providers). Twelve were from an academic internal medicine practice, 12 from a public hospital academic general medicine clinic, and 11 from a public hospital HIV clinic. Most were women (91 %); mean age (SD) was 42 years (11.1). Perceived usefulness of the CF5As focused on its relevance for various health behavior counseling purposes, potential gains in counseling efficiency, confidentiality of data collection, occupying patients while waiting, and serving as a cue to action. Perceived ease of use was viewed to depend on the ability to accommodate: clinic workflow; heavy patient volumes; and patient characterisitics, e.g., low literacy. Social norms potentially affecting implementation included beliefs in the promise/burden of technology, priority of smoking cessation counseling relative to other patient needs, and perception of CF5As as just "one more thing to do" in an overburdened system. The most frequently cited facilitating conditions were staffing levels and smoking cessation resources and training; the most cited hindering factors were visit time constraints and patients' complex health care needs.

conclusionsIntegrating CF5As and other technology-enhanced behavioral counseling interventions in primary care requires flexibility to accommodate work flow and perceptions of overload in dynamic environments. Identifying factors that promote and hinder CF5As adoption could inform implementation of other CF behavioral health interventions in primary care.

Indexed as

Attitude of Health PersonnelAttitude to ComputersAdultCounselingFemaleHumansMaleMiddle AgedPrimary Health CareSmoking CessationTherapy, Computer-AssistedYoung Adult5AsComputer technologyPrimary careSmoking cessation counselingTobacco addiction

Identifiers

PMID27094928
PMCPMC4837549

What OpenQuestion holds

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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.