ArticleJournal of the American Board of Family Medicine : JABFM
Health information technology needs help from primary care researchers.
Abstract read
In one paragraph
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
–field-weighted citation impact
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.
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.
Who cites it
6 citing papers in PubMed.
- Electronic medical record use and associated factors among healthcare professionals at public health facilities in Dire Dawa, eastern Ethiopia: A mixed-method study.Frontiers in digital health · 2022Article
- Primary Care Artificial Intelligence: A Branch Hiding in Plain Sight.Annals of family medicine · 2020Article
- Building Meaningful Patient Engagement in Research: Case Study From ADVANCE Clinical Data Research Network.Medical care · 2018Article
- Primary Care Practices' Abilities And Challenges In Using Electronic Health Record Data For Quality Improvement.Health affairs (Project Hope) · 2018Article
- Electronic health record innovations for healthier patients and happier doctors.Journal of the American Board of Family Medicine : JABFMArticle
- Practice Facilitator Strategies for Addressing Electronic Health Record Data Challenges for Quality Improvement: EvidenceNOW.Journal of the American Board of Family Medicine : JABFMArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Alex H KristFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF). ahkrist@vcu.edu.
Lee A GreenFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
Robert L PhillipsFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
John W BeasleyFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
Jennifer E DeVoeFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
Michael S KlinkmanFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
John HughesFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
Jon PuroFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
Chester H FoxFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
Tim BurdickFrom the Department of Family Medicine and Population Health, Virginia Commonwealth University, Richmond (AHK, RLP); the Department of Family Medicine, University of Alberta, Edmonton, Alberta, Canada (LAG); the American Board of Family Medicine, Washington, DC (RLP); the Departments of Family Medicine and Industrial and Systems Engineering, University of Wisconsin, Madison (JWB); OCHIN, Portland, OR (JED, JP, TB); the Departments of Family Medicine and Medical Informatics and Clinical Epidemiology, Oregon Health & Science University, Portland (JED, TB); the Department of Family Medicine, University of Michigan, Ann Arbor (MSK); the Department of Family Medicine, McGill University, Montreal, Quebec Canada (JH); and the Department of Family Medicine, University at Buffalo, Buffalo, NY (CHF).
NAPCRG Health Information Technology Working Group
Funding
Implementing Personal Health Records to Promote Evidence-Based Cancer ScreeningR01CA168795 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KRIST, ALEXANDER H · 2013 to 2017
$3.0MNCI NIH HHS R01 CA168795
Abstract
While health information technology (HIT) efforts are beginning to yield measurable clinical benefits, more is needed to meet the needs of patients and clinicians. Primary care researchers are uniquely positioned to inform the evidence-based design and use of technology. Research strategies to ensure success include engaging patient and clinician stakeholders, working with existing practice-based research networks, and using established methods from other fields such as human factors engineering and implementation science. Policies are needed to help support primary care researchers in evaluating and implementing HIT into everyday practice, including expanded research funding, strengthened partnerships with vendors, open access to information systems, and support for the Primary Care Extension Program. Through these efforts, the goal of improved outcomes through HIT can be achieved.
Indexed as
Health Services ResearchHumansMedical InformaticsPrimary Health Care
Identifiers
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.