Evidence map›Paper›PMID 28484066›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

Factors Related to Implementation and Reach of a Pragmatic Multisite Trial: The My Own Health Report (MOHR) Study.

Bijal A Balasubramanian, Suzanne Heurtin-Roberts, Sarah Krasny, Catherine L Rohweder, Kayla Fair, Tanya T Olmos-Ochoa, Kurt C Stange, Sherri Sheinfeld Gorin, MOHR Study Group

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Article 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 18 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

9 authors at 6 institutions in 1 country.

Bijal A BalasubramanianFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG). bijal.a.balasubramanian@uth.tmc.edu.
Suzanne Heurtin-RobertsFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG).
Sarah KrasnyFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG).
Catherine L RohwederFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG).
Kayla FairFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG).
Tanya T Olmos-OchoaFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG).
Kurt C StangeFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG).
Sherri Sheinfeld GorinFrom the Department of Epidemiology, Human Genetics & Environmental Science, University of Texas Health Science Center at Houston, School of Public Health, Dallas (BAB); the Implementation Science Team, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville MD (SH-R); Baylor College of Medicine, Houston, TX (SK); UNC Center for Health Promotion and Disease Prevention, University of North Carolina, Chapel Hill (CLR); the Department of Health Promotion and Community Health Sciences, Texas A&M University School of Public Health, Oklahoma City, OK (KF); the Department of Health Policy and Management, Fielding School of Public Health, University of California, Los Angeles (TTO-O); the Departments of Family Medicine & Community Health, Epidemiology & Biostatistics, Sociology, and Oncology, Case Western Reserve University, Cleveland, OH (KCS); and New York Physicians against Cancer (NYPAC), New York (SSG).
MOHR Study Group
Case Western Reserve University · USUniversity of North Carolina at Chapel Hill · USBaylor College of Medicine · USNational Cancer Institute · USThe University of Texas Health Science Center at Houston · USUniversity of California, Los Angeles · US

Funding

Implementing Personal Health Records to Promote Evidence-Based Cancer ScreeningR01CA168795 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KRIST, ALEXANDER H · 2013 to 2017
$3.0M
NCI NIH HHS R01 CA168795
6 · The paper itself

Abstract

backgroundContextual factors relevant to translating healthcare improvement interventions to different settings are rarely collected systematically. This study articulates a prospective method for assessing and describing contextual factors related to implementation and patient reach of a pragmatic trial in primary care.

methodsIn a qualitative case-series, contextual factors were assessed from the My Own Health Report (MOHR) study, focused on systematic health risk assessments and goal setting for unhealthy behaviors and behavioral health in nine primary care practices. Practice staff interviews and observations, guided by a context template were conducted prospectively at three time points. Patient reach was calculated as percentage of patients completing MOHR of those who were offered MOHR and themes describing contextual factors were summarized through an iterative, data immersion process.These included practice members' motivations towards MOHR, practice staff capacity for implementation, practice information system capacity, external resources to support quality improvement, community linkages, and implementation strategy fit with patient populations.

conclusionsSystematically assessing contextual factors prospectively throughout implementation of quality improvement initiatives helps translation to other health care settings. Knowledge of contextual factors is essential for scaling up of effective interventions.

Indexed as

Research DesignDirective CounselingHealth BehaviorHealth PromotionHumansMental HealthMulticenter Studies as TopicPatient Care PlanningPatient DropoutsPragmatic Clinical Trials as TopicPrimary Health CareProspective StudiesQualitative ResearchQuality ImprovementRisk AssessmentDelivery of Health CareHealth ResourcesPatient Care TeamPrimary Health CareQuality Improvement

Identifiers

PMID28484066
PMCPMC5878922
OpenAlexW2612627439

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.