Evidence map›Paper›PMID 26256283›Full record

ArticleHealth services research2016

Office-Based Tools and Primary Care Visit Communication, Length, and Preventive Service Delivery.

Jennifer Elston Lafata, L Aubree Shay, Richard Brown, Richard L Street

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

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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

4 authors at 3 institutions in 1 country.

Jennifer Elston LafataDepartment of Social and Behavioral Health, School of Medicine, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA.
L Aubree ShayDepartment of Health Promotion and Behavioral Sciences, University of Texas School of Public Health, San Antonio, TX.
Richard BrownDepartment of Social and Behavioral Health, School of Medicine, and Massey Cancer Center, Virginia Commonwealth University, Richmond, VA.
Richard L StreetDepartment of Communication, Texas A&M University, College Station, TX.
Virginia Commonwealth University · USTexas A&M University · USThe University of Texas Health Science Center at San Antonio · US

Funding

Virus Vector Shared ResourceP30CA016059 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI Kim Felder Rhoads · 1985 to 2026
$51.0M
BEHAVIORAL SCIENCE EDUCATION--CANCER PREVENTION/CONTROLR25CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MULLEN, PATRICIA DOLAN · 1992 to 2017
$8.6M
PHYSICIAN RECOMMENDATION AND COLORECTAL CANCER SCREENINGR01CA112379 · NCI · HENRY FORD HEALTH SYSTEM · PI ELSTON LAFATA, JENNIFER M · 2006 to 2009
$1.7M
NCI NIH HHS 5P30CA016059-26NCI NIH HHS P30 CA016059NCI NIH HHS R01-CA112379NCI NIH HHS R25 CA057712NCI NIH HHS R25 CA57712
6 · The paper itself

Abstract

backgroundThe use of physician office-based tools such as electronic health records (EHRs), health risk appraisal (HRA) instruments, and written patient reminder lists is encouraged to support efficient, high-quality, patient-centered care. We evaluate the association of exam room use of EHRs, HRA instruments, and self-generated written patient reminder lists with patient-physician communication behaviors, recommended preventive health service delivery, and visit length. RESEARCH

methodsObservational study of 485 office visits with 64 primary care physicians practicing in a health system serving the Detroit metropolitan area. Study data were obtained from patient surveys, direct observation, office visit audio-recordings, and automated health system records. Outcome measures included visit length in minutes, patient use of active communication behaviors, physician use of supportive talk and partnership-building communication behaviors, and percentage of delivered guideline-recommended preventive health services for which patients are eligible and due. Simultaneous linear regression models were used to evaluate associations between tool use and outcomes. Adjusted models controlled for patient characteristics, physician characteristics, characteristics of the relationship between the patient and physician, and characteristics of the environment in which the visit took place.

resultsPrior to adjusting for other factors, visits in which the EHR was used on average were significantly (p < .05) longer (27.6 vs. 23.8 minutes) and contained fewer preventive services for which patients were eligible and due (56.5 percent vs. 62.7 percent) compared to those without EHR use. Patient written reminder lists were also significantly associated with longer visits (30.0 vs. 26.5 minutes), and less use of physician communication behaviors facilitating patient involvement (2.1 vs. 2.6 occurrences), but more use of active patient communication behaviors (4.4 vs. 2.6). Likewise, HRA use was significantly associated with increased preventive services delivery (62.1 percent vs. 57.0 percent). All relationships remained significant (p > .05) in adjusted models with the exception of that between HRA use and preventive service delivery. DISSEMINATION AND IMPLEMENTATION IMPLICATIONS: Office-based tools intended to facilitate the implementation of desired primary care practice redesign are associated with both positive and negative cost and quality outcomes. Findings highlight the need for monitoring both intended and unintended consequences of office-based tools commonly used in primary care practice redesign.

Indexed as

CommunicationAgedAged, 80 and overFemaleHumansInformation SystemsMaleMiddle AgedOffice VisitsPatient ParticipationPractice Patterns, Physicians'Preventive Health ServicesPrimary Health CareSocioeconomic FactorsTime FactorsElectronic health recordhealth risk appraisal toolspatient-physician communicationpatient question listsphysician visit durationpreventive service delivery

Identifiers

PMID26256283
PMCPMC4799894
OpenAlexW1783870753

What OpenQuestion holds

Textmetadata
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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.