Evidence map›Paper›PMID 24808114›Full record

Trial reportJournal of the American Board of Family Medicine : JABFM

Real-world implementation and outcomes of health behavior and mental health assessment.

Hector P Rodriguez, Beth A Glenn, Tanya T Olmos, Alex H Krist, Stephanie L Shimada, Rodger Kessler, Suzanne Heurtin-Roberts, Roshan Bastani

Abstract readClinical Trial
In one paragraph

Trial report in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Observational
  11. 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

8 authors.

Hector P Rodriguezthe Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles; the Division of Cancer Prevention and Control, Jonsson Comprehensive Cancer Center, Los Angeles, CA; the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond; The Center for Health Quality, Outcomes and Economic Research, VA Healthcare System, Bedford, MA; the Department of Family Medicine, University of Vermont, Burlington; and the Division of Cancer Control and Population Sciences, National Cancer Institute, Bethesda, MD.
Beth A Glenn
Tanya T Olmos
Alex H Krist
Stephanie L Shimada
Rodger Kessler
Suzanne Heurtin-Roberts
Roshan Bastani

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
HARVARD PREVENTION RESEARCH CENTER ON NUTRITION AND PHYSICAL ACTIVITY-CATEGORY 1U48DP001946 · DP · HARVARD SCHOOL OF PUBLIC HEALTH · PI GORTMAKER, STEVEN L · 2009 to 2013
$7.5M
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NCCDPHP CDC HHS U48 DP001946NCCDPHP CDC HHS U48DP001946
6 · The paper itself

Abstract

backgroundAssessing patient-reported health behaviors is a critical first step in prioritizing prevention in primary care. We assessed the feasibility of point-of-care behavioral health assessment in 9 diverse primary care practices, including 4 federally qualified health centers (FQHCs), 4 practice-based research network practices, and a Department of Veterans Affairs practice.

methodsIn this prospective mixed-methods study, practices were asked to integrate a standardized paper-based health behavior and mental health assessment into their workflow for ≥50 patients. We used 3 data sources to examine the implementation process: (1) patient responses to the health assessment, (2) patient feedback surveys about how assessments were used during encounters, and (3) postimplementation interviews.

resultsMost nonurgent patients (71%) visiting the participating practices during the implementation period completed the health assessment, but reach varied by practice (range, 59% to 88%). Unhealthy diet, sedentary lifestyle, and stress were the most common patient problems, with similar frequencies observed across practices. The median number of "positive screens" per patient was similar among FQHCs (3.7 positives; standard deviation [SD], 1.8), practice-based research network practices (3.8 positives; SD, 1.9), and the Veterans Affairs clinic (4.1 positives; SD, 2.0). Primary care clinicians discussed assessment results with patients about half of the time (54%), with considerable variation between practices (range, 13% to 66%; lowest use among FQHC clinicians). Although clinicians were interested in routinely implementing assessments, many reported not feeling confident of having resources or support to address all patients' behavioral health needs.

conclusionsPrimary care practices will need to revamp their patient-reported data collection processes to integrate routine health behavior assessments. Implementation support will be required if health assessments are to be actively used as part of routine primary care.

Indexed as

Health BehaviorMental HealthNeeds AssessmentAdultAgedAged, 80 and overFemaleHealth Plan ImplementationHumansMaleMass ScreeningMiddle AgedNutrition AssessmentPrimary Health CareProspective StudiesCommunicationMental HealthPractice-based ResearchPreventionScreening

Identifiers

PMID24808114
PMCPMC4237013

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.